Cutting Through the Noise with a Clear, Side-by-Side View of Performance

Starting with their 1Q25 results, IDC’s European Enterprise Communications Services program will publish a quarterly comparison and analysis of Europe’s top 5 telcos: BT, Deutsche Telekom, Orange, Telefónica, and Vodafone. A main goal of this initiative is to identify which telcos are most successful in transforming their monetization strategies.

Our analysis of telco performance will be based on new research by the IDC European analyst team. Other IDC products, including those from our colleagues in the Data & Analytics team, focus on telco revenue across individual product lines.

This blog post provides a high-level view of the operators’ 2024 global performance as a prelude to the quarterly analyses. Here, we compare the companies’ revenue performance, development of their geographical markets and strategic growth portfolios, and major announcements and events during the period.

The financial data has been adjusted for consistency and comparability:

  • Figures have been converted to USD on a constant currency basis at IDC’s published 2024 rate (EUR/USD 0.92420; GBP/USD 0.78269).
  • Reporting periods have been aligned to the calendar year (CY). For Deutsche Telekom, Orange, and Telefónica, this aligns to their financial year (FY). For BT and Vodafone, we have summed their quarterly results within each CY (e.g., CY 1Q24 to CY 4Q24, corresponding to their published FY 4Q24 to FY 3Q25 reports).

Group Revenue Performance

Figure 1 shows total group revenue and YoY growth for BT, Deutsche Telekom, Orange, Telefónica, and Vodafone from CY20 to CY24.

Converting all results to USD and aligning BT and Vodafone to CYs highlights the relative size differences between Deutsche Telekom (due to T-Mobile US) and BT, and the similarity between Orange, Telefónica, and Vodafone.

It also shows that CY24, like CY23, was relatively flat for Europe’s leading telcos, with top line growth between -2.2% and 3.4%. The exception is Vodafone, which posted a large decline in CY23 due to the disposal of two major country operations during 2024 (Vodafone Italy and Vodafone Spain). Vodafone’s restated historical financials omit Italy and Spain going back to CY 1Q23.  As the figures presented in this blog post are based on the restated numbers, the drop in revenue resulting from those disposals appears to occur in CY23.

Notes:

  • BT and Vodafone figures are for the CY, based on quarterly reports.
  • Growth rates reflect operators’ reported figures and include conversion from local currency to reporting currency (EUR for Deutsche Telekom, Orange, Telefónica, and Vodafone, and GBP for BT).
  • Vodafone’s negative growth in CY23 is due to the disposal of Vodafone Italy and Vodafone Spain in CY24 and subsequent revenue restatements.
  • BT remains the smallest of the top five telcos by revenue and in growth terms has been a mid-pack performer in recent years, although it was the only company in the group to post negative top-line growth in CY24, of -2.2%. In addition to several country operation disposals over the last few years, BT has signalled its clear intent through CY24 under CEO Allison Kirkby to focus on the domestic U.K. market and is exploring options for its underperforming international business.
  • Deutsche Telekom is far ahead of its European peers in total revenue due to the contribution of T-Mobile US, with group revenue between $114B and $125B. However, revenue from Europe totaled €41.2B in CY24, placing it in line with Orange, Telefónica, and Vodafone (see figure 5 for side -by -side view for the 4 operators). Deutsche Telekom posted the highest YoY growth rate in CY24 at 3.4%, largely driven by the strong performance of its mobile and broadband services. Notably, this growth is primarily attributed to T-Mobile US, fueled by rising postpaid and prepaid revenues and a slight increase in terminal equipment sales. The contribution of approximately 65% of group revenue from T-Mobile US clearly sets Deutsche Telekom apart.
  • Orange’s YoY revenue growth in CY24 was limited to 1.5%, mainly due to the deconsolidation of Orange Spain after the creation of the MásOrange joint venture, and a decline in Orange Business’ revenue of -1.9%, primarily from fixed services. However, strong growth from the META region of 7.4% stabilized Orange’s overall business.
  • Telefónica, which ranks second in group revenue, reported modest YoY growth of 1.6% in CY24. This was due to growth in service revenues (up 2.5%) driven by a stronger B2B performance (up 4.8%) but offset in part by the depreciation of various Latin American currencies (in particular the Brazilian real) against the euro.
  • Vodafone, from CY20 to CY22 Vodafone was ahead of, and accelerating away from, Orange and Telefónica. However, the disposal of its Italy and Spain operations meant a loss of over $8 billion annual revenue, effective in its restated financials from 2023. This resizes Vodafone below Orange and Telefonica but, as of CY2024, it remains on a higher growth trajectory. Vodafone completed the sale of its Spain operation (to Zegona Communications) in May 2024 for €5 billion and its Italy operation in January 2025 (to Swisscom) for €8 billion. Around the same time it received regulatory approval for its merger with Three in the U.K.

Figure 2 positions the operators based on their CY24 group revenue and growth rate over CY23, with bubble sizes representing the absolute EBITDA or EBITDAaL (EBITDA after leases) values for CY24. It brings out the similarity of Orange and Telefónica’s businesses in terms of all three metrics (size, growth, and EBITDA). Deutsche Telekom and BT, while differing significantly in both revenue and growth, show nearly identical EBITDA margins—43% and 40% respectively—indicating comparable efficiency in generating operating profit.

Notes:

  • Size of bubble refers to the value of CY24 EBITDA (BT, Deutsche Telekom, and Telefónica) or EBITDAaL (Orange and Vodafone).
  • The percentages next to operator’s name plotted on the chart represent the EBITDA margin for (BT, Deutsche Telekom, and Telefónica) or EBITDAaL margin (Orange and Vodafone).

Figure 3 rebases each operator’s group revenue to a value of 100 in CY20 and plots relative development from that point. This clearly shows Deutsche Telekom’s outperformance over the others, the similar relative performance of BT, Orange, and Telefónica over the last three years, and again the temporary drop in Vodafone’s revenue due to major disposals.

Notes:

  • Revenue is plotted relative to a baseline of 100 for all operators in CY20.
  • Vodafone’s negative growth in CY2023 is due to the disposal of Vodafone Italy and Vodafone Spain in CY2024 and subsequent revenue restatements.

Geographical Markets

Figure 4 shows how operators’ total CY24 revenue breaks down geographically. Each operator’s domestic operations are labeled as its home market on the chart. For Vodafone, we assigned its largest country market of Germany as, not being an ex-incumbent, the concept of home market is less clearly defined.

The chart highlights how international businesses, primarily opcos, gained via historical acquisitions, are a sizeable fraction of each operator’s total business. The exception is BT. Following a series of divestments in recent years, BT is now very heavily concentrated on the U.K., contributing 89% of group revenue in FY24 (the year ending March 2024, BT’s most recent geographical reporting). BT CEO Allison Kirkby’s decision to focus on the U.K. still further is an extension of a trend already well established.

Notes:

  • Vodafone’s home market is assigned as Germany, its largest revenue-contributing market.
  • BT does not publish geographical splits on a quarterly basis, so CY splits are unavailable. We applied the latest published breakdown (year ending March 2024) to CY24 revenue for illustration.
  • The chart is organized in descending order of group revenue, progressing from the highest to the lowest value along the horizontal axis.
  • The percentage shows each region’s share of the overall group revenue, and the number shows the total revenue that region produced in CY24.

B2B Revenue Performance

Figure 5 shows how operators’ CY24 revenue from business customers compares with total group revenue. We aimed to capture all B2B revenue, including dedicated enterprise units (BT Business, Deutsche Telekom’s System Solutions/T-Systems, Orange Business, Telefónica Tech, and Vodafone Business), as well as other reported business revenue generated by the group organization. In practice, some very small business customers buy consumer products and are served by the consumer division of an operator. We don’t attempt to break out this revenue.

Notes:

  • Growth rates shown in red (decline) and green (growth) refer to CY24 B2B revenue growth.
  • Figures represent overall B2B revenue, including enterprise business units and services sold to business customers by the parent organization.
  • The chart is organized in descending order of CY24 group revenue, with operators arranged left to right from highest to lowest.
  • Deutsche Telekom (DT) is placed first as it recorded the highest total revenue in CY24. However, in this graph T-Mobile US has been excluded from DT’s revenue in this analysis, as the company does not report a segmented B2B vs B2C revenue breakdown for the U.S. market. This exclusion ensures a more accurate and consistent comparison of DT’s European B2B revenue contribution.

Deutsche Telekom

Deutsche Telekom’s B2B revenue comes from the summation of two segments: German Business Customers and Systems Solutions (T-Systems). Deutsche Telekom serves enterprise clients globally, but only these two components are reported in the operator’s annual statements. German Business Customers, part of Deutsche Telekom’s Germany segment, generated €8.7B in CY24, down 5.7% YoY (mainly due to reclassification of some revenue as wholesale since January 2024).

Systems Solutions, operating under the T-Systems brand, focuses on ICT services in the DACH region, spanning cloud, digital, security, and advisory services as well as road toll systems. Revenue rose to €4.0B in CY24, up 2.8% YoY, reflecting steady strategic growth.

System Solutions’ growth was driven by:
• Expanding demand for digital, cloud, and road charging services
• Strong momentum in public sector IT contracts, a key vertical for T-Systems
• Ongoing customer migration from legacy infrastructure to digital platforms

Despite ongoing pressure in traditional services, the gains in high-growth areas allowed Systems Solutions to post a 3.7% increase in external revenue and a 2.3% rise in service revenue, signaling healthy market traction and improved portfolio relevance.

The overall YoY revenue decline of -1.2% shown in figure 5 for Deutsche Telekom is the result of growth in its System Solutions segment being offset by a decline in revenue from its German business segment. Together they represent 31% of DT total revenue of $44,063063M excluding the U.S. region.

Telefónica

Telefónica Tech (TTech) is the digital services arm within Telefónica’s broader B2B segment. It focuses on services such as cloud, cybersecurity, IoT and Big Data, and AI and automation, while the B2B segment overall includes traditional connectivity and managed services. In CY24, TTech generated €2,065M in revenue, growing 10% YoY and contributing to total B2B revenue of €8,957M, up 4.8% YoY.

Main B2B growth drivers included:
• Bookings and commercial funnel growing at 30% YoY and 15% respectively in CY24
• Enhanced business sustainability and larger, higher-value projects in the backlog

TTech’s cybersecurity and cloud revenue amounted to €1,821M (up 12.3% YoY), and its IoT and data revenue totaled €246M (down 4.8% YoY) in CY24.

Orange

Orange Business contributed 19% of Orange’s total revenue in CY24, at €7.8B, down 1.9% YoY due to the decline in fixed service revenues. Although declining modestly, the segment demonstrated strategic resilience and a relative shift toward higher-value digital services.

B2B growth was driven by:
• IT and integration services, up slightly (by 2.7% comparable growth, or €102M) in a complex IT market
• Orange Cyberdefense (part of IT services), up 11.2% or €120M

Despite ongoing pressure on legacy product lines and equipment sales, positive momentum in IT and mobile segments demonstrates good portfolio realignment and robust underlying market traction.

Vodafone

Enterprise customers of all sizes are handled through Vodafone Business. The unit reports service (as opposed to total) revenue, which amounted to €7.9 billion in CY24, 21% of (total) group revenue. This was up 3.2% on CY23 (based on restated figures that exclude Italy and Spain), making Vodafone one of only two telcos in the group to be growing its B2B business.

Vodafone’s B2B growth drivers include:
• Strong demand for digital services (cloud, security, and IoT), particularly in the MEA region. Cloud revenue grew 25% YoY on average per quarter, and digital services grew from 17% of total business service revenue at the start of CY24 to 20% by the end.
• Demand for fixed connectivity, again particularly in MEA.
• Project work, often in the public sector, in some markets including the U.K.

Against the growth in digital services and fixed connectivity, Vodafone’s B2B mobile business was challenged during the year, from falling inflation-linked price increases as well as ARPU erosion during large contract renewals, notably in Germany.

BT

BT Business, the merger of the former U.K.-focused BT Enterprise with BT Global, accounted for 38% of BT’s total revenue in CY24. While this is a higher relative contribution than the other operators, and in absolute terms is larger than Telefonica, Orange, and Vodafone, the unit has underperformed for several years, being 23% smaller at the end of CY24 compared with the start of CY20.

There are few positive growth drivers to report, with most B2B segments in decline. U.K. SMB was a relatively strong performer up to CY24 but growth has since flattened and turned negative. The U.K. CPS (corporate and public sector) business, conversely, has turned from strongly negative to broadly stable in CY24.

In terms of service offerings, security is a consistent growth area, and BT is betting on its global NaaS platform, Global Fabric, to revitalize its B2B portfolio and boost its international business over the next few years. The first customer went live on Global Fabric in March 2025 and the roadmap sees many of BT’s network services being offered via the platform over the next two years.

Major Announcements and Events

These are some of the main revenue-impacting developments by operator during CY24:

BT

  • December 2024: BT Group signed a new £1.29B contract with the U.K. Home Office to deliver mobile services for the government’s Emergency Services Network, aiming to enhance communication capabilities for emergency responders.
  • November 2024: Reports, later confirmed by BT, suggested that the company was looking at options for its international business following a long period of underperformance globally and a strategic focus on the U.K. market.
  • August 2024: Indian Bharti Enterprises agreed to purchase a 24.5% stake in BT Group from Altice, making Bharti the largest shareholder in BT.
  • February 2024: BT Group welcomed Allison Kirkby as its CEO, the first woman to lead the U.K. telecom giant.

Deutsche Telekom

  • November 2024: Deutsche Telekom awarded Nokia a contract to roll out a large-scale commercial Open Radio Access Network (O-RAN) across more than 3,000 sites in Germany, supporting the operator’s strategy to diversify its supplier base and enhance network efficiency.
  • July 2024: Deutsche Telekom’s U.S. subsidiary T-Mobile US announced a joint venture with KKR to acquire fiber ISP Metronet. T-Mobile is investing about $4.9 billion for a 50% stake in the JV, which will absorb Metronet’s two million FTTH customers across 17 states.

Orange

  • May 2024: Orange announced the completion of the merger between Orange Romania SA and Orange Romania Communications SA as of June 1, 2024.
  • March 2024: Orange and MásMóvil completed the creation of a 50:50 JV valued at €18.6 billion in Spain, combining their operations to form a leading operator in terms of customers.
  • February 2024, Orange SA exited the retail banking business, after years of losses, by transferring its Orange Bank customers to BNP Paribas.

Telefónica

  • November 2024: The Spanish government approved Saudi Arabian STC Group’s acquisition of a 9.9% stake in Telefónica, allowing STC to appoint a board member, with conditions to safeguard national interests.
  • July 2024: Telefónica and Vodafone Spain (now owned by Zegona) agreed to form a joint fiber venture in Spain. The non-binding MOU outlines plans to combine and expand FTTH networks to cover ~3.5 million premises.
  • February 2024: Telefónica finalized an agreement to sell its Telefónica Argentina unit for about $1.245B to Telecom Argentina.

Vodafone

  • December 2024: Vodafone Group’s merger with Three U.K. received conditional approval from the U.K.’s Competition and Markets Authority (CMA), forming the largest mobile operator in Britain.
  • December 2024: Vodafone, in partnership with AST SpaceMobile, achieved a world-first: a direct-to-mobile satellite video call using a standard smartphone.
  • May 2024: Vodafone sold its Spanish operations to Zegona Communications for €5B, as part of its strategy to simplify its portfolio and focus on core markets.
  • March 2024: Swisscom agreed to acquire 100% of Vodafone Italia for €8B, aiming to merge it with its subsidiary Fastweb to create a leading converged operator in Italy.
  • January 2024: The U.K. government raised national security concerns over the 14.6% stake in Vodafone Group acquired by Emirates telecom e& (formerly Etisalat).

Conclusion

This post has provided comparisons over a limited selection of metrics. Starting with CY 25Q1 results, we will publish more detailed comparisons and analyses in IDC’s European Enterprise Communications Services program, initially across the five operators presented here.

Masarra Mohamad - Senior Research Analyst, European 5G Enterprise Strategies - IDC

Masarra Mohamed is a senior research analyst specializing in analysing the connectivity and communications services markets, focusing on the changing networking requirements, trends, and competitive dynamics that support enterprises in their digital transformation. She explores how enterprise network strategies evolve to enable cloud, AI, and security.

Having released the initial Zen 5 based single Core Complex Die (CCD) 3D V-Cache-based Ryzen 7 9800X3D in November 2024, AMD announced the dual-CCD Ryzen 9 9000X3D variants, including the Ryzen 9 9900X3D and Ryzen 9 9950X3D, on January 6, 2025 ahead of CES 2025.

The AMD Ryzen 9 9950X3D is a high-performance desktop processor with 16 cores and 32 threads. It uses two CCDs, each containing eight cores. The processor also features 2nd generation 3D V-Cache technology, which significantly enhances performance by adding extra cache on the chip.

Each of the two CCDs in a Ryzen 9 9950X3D features 32 MB of L3 cache, and there is an additional 64MB of 3D V-Cache that is stacked under one of the CCDs. This extra cache significantly enhances the performance of tasks that benefit from larger cache sizes, especially gaming.
The AMD Ryzen 9 9950X3D became available on March 12, with a starting suggested price of $699.

2nd Generation 3D V-Cache

The new Ryzen 9 9950X3D and Ryzen 9 9900X3D feature 2nd Gen 3D V-Cache, but on only one of the two CCDs. Similar to their predecessors, the other core complex does not include 3D V-Cache. This design offers the best of both worlds: the first CCD with 3D V-cache optimized for latency, and the second CCD without it, optimized for the highest possible clock speeds and throughput for highly-multithreaded workloads that do not depend on L3 cache for performance.

AMD has advanced and optimized its 3D V-Cache technology, as we covered in our Ryzen 7 9800X3D review and now with the new Ryzen 9 9950X3D and Ryzen 9 9900X3D parts. This latest iteration, known as 2nd Gen 3D V-Cache technology, offers notable improvements in performance. The key difference lies in the cache placement. Previously, the 3D V-Cache was layered on top of the cores in the Ryzen 5800X3D and Ryzen 7000X3D processors.

In the Zen5-based Ryzen 7 9800X3D and Ryzen 9 9000X3D series, the 2nd Gen 3D-V-Cache is now positioned below the processor cores. This change allows the primary heat source, the CCD, to interface directly with the cooling solution. Since the 3D V-Cache is less sensitive to temperature, this results in up to 46% better thermal resistance, according to AMD. Cooler temperatures enable higher sustained clock speeds, both single- and multi-threaded.

AMD Provisioning Packages Service Update

The latest update to the AMD Provisioning Packages Service, which is included in the chipset driver update for Windows 11, brings significant improvements to the user experience. This service manages AMD provisioning packages, including processor and nonvolatile memory express (NVMe) power management.

Designed specifically for Ryzen 9 processors, the service optimizes CPU power and performance during gaming. It uses power/frequency optimization and core parking within the Windows Game Mode power profile. The service dynamically applies optimizations to specific power profiles when an application is launched. When gaming, it “parks” the cores on the second CCD that lacks the 3D V-Cache, making them temporarily unavailable to the OS. This ensures the game runs on the CCX. The AMD Ryzen 9 9950X 3DV features two CCDs (Core Chiplet Dies).

Each CCD in this processor contains a single CCX (Core Complex) with 3D V-Cache, improving the L3 cache hit rate and overall game performance and particularly bolstering critical elements such as the 1% low frames per second (FPS) rate.
If there are changes to the CPU name, core count, logical processor count, or L3 cache count, the service will automatically uninstall and reinstall the relevant AMD provisioning packages. AMD advises performing a clean installation of Windows when changing the processor to avoid potential configuration issues with other software. The time to complete provisioning changes is typically around two minutes after booting to Windows.

While there is no BIOS option for this feature, the AMD Provisioning Packages Service can be disabled in Windows Services settings. NVMe provisioning requires Windows 11 version 22H2 or later. The Windows 10 user experience remains unchanged.

Overall, this update enhances the predictability, performance, and efficiency of Ryzen 9 9000X3D V-Cache-enabled processors, particularly for gaming, by intelligently managing power and core usage.

AMD 3D V-Cache Performance Optimizer

The AMD 3D V-Cache Performance Optimizer enhances the performance of Ryzen 9 9000X3D 3D V-Cache processors in gaming and non-gaming tasks. It achieves this by dynamically adjusting the “favored” processor cores based on the current application. During gaming sessions, the OS prioritizes cores connected to the larger L3 cache. Conversely, for non-gaming tasks, it favors the cores with the highest frequency. Notably, the AMD 3D V-Cache Performance Optimizer does not “park” any cores.

This feature benefits desktop processors such as the Ryzen 9 9950X3D, Ryzen 9 9900X3D, Ryzen 9 7950X3D, and Ryzen 9 7900X3D. However, it does not provide advantages for single CCX X3D processors like the Ryzen 7 9800X3D or Ryzen 7 7800X3D.

Configuration options for this feature are available in the BIOS under AMD CBS/SMU Common Options/CPPC Dynamic Preferred Cores. The settings include:

– Auto | Driver: Allows the driver to decide which CPUs to prefer based on the active window.
– Cache: Always prefers CPUs in the 3D V-Cache CCX.
– Frequency: Always prefers CPUs in the highest frequency CCX.

Overall, the AMD 3D V-Cache Performance Optimizer significantly boosts the efficiency and performance of compatible Ryzen 9 processors by intelligently managing core usage based on the task at hand.

AMD Application Compatibility Database

The new AMD Application Compatibility Database, which requires both a new BIOS and chipset driver, is designed to address specific game titles that exhibit performance-limiting behavior not fully resolved by the AMD Provisioning Packages Service. These targeted optimizations reduce the thread pool size for the affected games, resulting in improved L3 cache utilization and higher FPS. This is achieved by repurposing the Windows Compatibility Toolkit’s ‘ProcessorCountLie’ feature, originally co-developed with Microsoft.

Users with Socket AM5 Platform Ryzen 9 9000 series and Ryzen 9 7000 series processors, both with and without X3D, can benefit from this new feature after a BIOS update. Currently, the Ryzen 9 9950X3D benefits from an AMD Application Compatibility Database File with optimizations for several games, including Deus Ex: Mankind Divided, Dying Light 2, Far Cry 6, Metro Exodus, Metro Exodus Enhanced Edition (RT), Total War: Three Kingdoms, Total War: Warhammer III, and Wolfenstein: Young Blood.

Overall, the AMD Application Compatibility Database enhances gaming performance by intelligently managing thread pool sizes and improving cache utilization for a smoother and more responsive gaming experience.

The AMD Ryzen 9 9950X3D for Productivity

Rendering is a good example of productivity. The choice between CPU and GPU rendering hinges on a project’s specific needs and constraints. While GPUs excel in parallel processing and are often faster for many rendering tasks, some studios and creators still prefer CPUs. CPUs can handle larger amounts of system memory, offer better price-performance ratios compared to professional GPUs with limited VRAM, and provide high precision and stability. Additionally, CPUs are usually certified by most ISVs to run their applications smoothly without issues. This makes CPUs a reliable choice for many rendering workflows, even if they take more time.

For the first-generation implementations of AMD Ryzen 3D V-Cache, the cache tile being placed on top of the CCD limited the potential for higher clock frequencies and headroom increases due to thermal constraints. This meant that while certain workloads such as gaming saw big performance increases with 3D V-Cache enabled CPUs, highly-threaded, productivity-centric applications could see worse results with the lower frequencies on the 3D V-Cache-enabled CCD.

With the cache tile being placed underneath the CCD in second-generation 3D V-Cache parts, the CPU frequency is able to boost to higher frequencies, helping make these parts much more comparable in performance to the standard, non-3D V-Cache CPUs on highly multi-threaded workloads. This capability gives demanding users the best of both worlds of gaming and productivity.

Blender Benchmark

Blender Benchmark version 4.3.0 was used to assess the AMD Ryzen 9 9950X3D processor’s rendering performance. With a score of 613.88, the processor’s performance ranked among the top 37% of benchmarks running the same workloads. Given the inclusion of GPU results, the CPU performed brilliantly in proportion to its core count.

Compared to the Ryzen 9 7950X (non-3D V-Cache) that we reviewed last year, the Ryzen 9 9950X3D achieved an average benchmark performance that was 17% faster.

IndigoBench

IndigoBench v4.4.15 is another standalone benchmark based on Indigo 4’s rendering engine and the industry-standard OpenCL.

The processor scored an impressive 19.048 million samples per second on IndigoBench, ranking it among the top 30 CPU results. This was achieved with normal settings and no overclocking. Many of the top scores were from high-end server CPUs like the AMD EPYC 9654 96-Core Processor.

The processor outperformed the Ryzen 9 7950X again by 17%, thanks to its cooler operation and faster core speed of 5.2GHz on all cores under load.

Overclocking

We enabled Precision Boost Overdrive (PBO), which remains the best method for overclocking while maintaining optimal power efficiency. It is important to note that PBO is an advanced overclocking feature that may void the warranty, according to AMD. In the BIOS, under the Advanced settings, we set the limits to “Motherboard” and adjusted the CPU Boost Clock override to “+200MHz.” We incrementally adjusted the Curve Optimizer, starting at -10 and achieving stability at -20 on all cores, verified through Cinebench 2024 testing.

The single core boost hit 5.9GHz, while all cores under load consistently ran between 5.15 and 5.2GHz. Thanks to the be quiet! Silent Loop 2 280mm water cooler, temperatures remained below 80°C. In Cinebench 2024, the default settings yielded a score of 2,190 points. However, with PBO enabled, we achieved a 9.5% performance boost, raising the score to 2,399 points at a lower voltage. This was also 15% better than the Ryzen 9 7950X CPU, which scored 2,094 using PBO boost settings.

Besides overclocking manually in the motherboard’s BIOS, users can also use the Ryzen Master tool to fine-tune performance. This flexibility allows advanced users and overclocking enthusiasts to fully explore and enjoy the capabilities of this chip.

Final Words and Conclusion

The second-generation AMD 3D V-Cache, which places the cache tile underneath the CCD die, helps overcome the biggest limitations of the original generation, allowing better heat transfer and sustained higher clock speeds. The Ryzen 9 9950X3D boasts the fastest Zen 5-based 3D V-Cache-enabled CCDs, reaching up to 5,550 MHz, compared to 5,450 MHz for the Ryzen 7 9800X3D. This not only helps the new Ryzen 9 9950X3D have a better gaming performance due to the higher clock speeds of the 3D V-Cache CCD; it also also closes the multi-thread performance gap on highly multi-threaded workloads, as the clock penalty of the 3D V-Cache is much smaller than the prior generation 3D V-Cache CPUs.

3D V-Cache has been proven to work very well overall, but it is not the whole story. Looking to the future, and particularly with the prevalence of AI-enhanced workloads coming down the pipeline, we would suggest that AMD considers focusing on improving memory performance and capacity as a differentiator. With DDR5, supporting large memory capacities with four DIMMS spread across two channels normally requires dropping the memory transaction speeds significantly to achieve reliability. This usually means that many customers prefer to populate only one DIMM per channel to maximize memory throughput, which can limit the installed DRAM capacity.

Doubling the number of DRAM memory channels from two to four and providing only a single DIMM slot per memory channel in future platforms will allow the DRAM to run at maximum transfer rates for all DIMM slots to support the higher demands of dual CCD CPUs. It will also enable the use of four DIMMs per system for maximum memory capacity at a cost-effective price. A single DIMM slot per memory channel will also help to reduce electromagnetic interference issues, simplify engineering, and increase reliability and performance compared to having an empty second DIMM slot on a memory channel. This would allow for greater upgradability and significantly enhanced performance in creative applications, without compromising memory bandwidth and speed.

 

Mohamed Hakam Hefny - Senior Program Manager - IDC

Mohamed Hefny leads market research in EMEA on professional workstation PCs and solutions. He also reports on professional computing semiconductors, processors, and accelerators (CPUs and GPUs), as well as breakthroughs and trends related to the market. In addition, Mohamed is actively involved in AI PC taxonomy and research. He participates in business development projects, contributes to consulting activities, and provides IDC customers with analysis, opinions, and advice.

Cambridge Healthtech Institute’s Bio-IT World Conference & Expo was held from April 2nd to 4th, 2025, in Boston. It brought together an innovation ecosystem of investors, TechBios, and life sciences tech companies, a few system integrators, and biotechs and big pharma. The floor buzzed with discussions around innovation, partnering, and technology disruption. Twenty-eight hundred life sciences and IT executives from 30 countries were out there to explore and shape the future of life sciences innovation.

Kshitij Kumar, CEO, Clovertex noted Bill Gates statement that despite the AI revolution, 3 roles that will remain essential include coders, energy experts, and biologists. So, folks in the life sciences industry, we are in the good place! Important points that came up in the keynote including ‘How do you measure the probability of success when building or investing in a company? How do you maintain the balance between speed vs perfection? How do you continue to build and manage risks, especially when, in the life sciences industry, regulatory and scientific risk is higher than market risk? As Sonya Makhni medical director, Mayo Clinic, called out ‘Develop your own risk stratification strategy for clinical and technical risk’. Subha Madhavan, VP and head AI, Pfizer noted ‘Creating regulatory grade RWD will occupy our mind for the next few years’.

The Cambridge Venture Innovation and Partnering (VIP) forum was full of deep discussions where investors provided some invaluable guidance to the startup community of life sciences tech companies and Techbios on what were the critical aspects guiding their investment decisions, how AI adoption impacted these decisions and what were the critical factors impacting partnering decisions with biopharma.

Since tech investors were seen to focus on business fundamentals, while biotech investors were seen to focus on the data that TechBios generated, the importance of clearly articulating ones value proposition so that it resonated with investors was emphasized. Pharma stressed that it looks for first in class or best in class assets that have ideally been already approved – asset differentiation is key. Having an asset in hand would save spend on time and money spent on the discovery process and this is the differentiator that TechBios would bring to the table.

Notably, the timeline to demonstrate success is getting shorter and shorter, speed is a differentiator, and investors are monitoring this carefully. Establishing key partnerships with pharma would significantly enhance the valuation of TechBios. Life sciences tech companies on the other hand should focus on hiring life sciences domain experts who can train models and should have people on their boards who can determine product fit rather than those who can develop the product. VC firms called out that 2025 would be about GenAI for small molecules, while 2026 would be about AI driven intelligent lab automation.

Finally, it was not just about building the technical infrastructure, but also about building a nimble culture and an agile culture to swiftly capture the right opportunities. Biopharma companies were also advised to rethink their budgeting strategies and to factor in the spend on IT infrastructure in the cost of developing a new molecule.

Drew Dresser, Sr Director AI and Cloud Engineering, Flagship Pioneering spoke about how Flagship was building a digital backbone including scientific computing, a cloud foundation, scientific data models, and workflow orchestration engines across its portfolio of 35 companies. He touched upon the rise in Bio FMs and how biotech innovation lives in the cloud, the evolving role of AI co-scientists, such as Google AI co-scientist and the Allen AI Ai2’s code scientist, and how the role of agents will move beyond transactional activities to playing a role in hypothesis creation. 

Abbvie presented its CSR authoring solution. Tobi Guennel, SVP product innovation Quartz Bio, presented its precision medicine AI platform which leverages a series of agents including orchestration agents, DM and Intelligence Agents, Auxiliary agents, Navigator agents and more, where all agents are embedded in the fabric. He reports that this resulted in a two-fold increase in speed from data to insights and a 25% increase in R&D output. Illumina highlighted that multiomics is at the core of identifying targets for cancer vaccines, and it emphasized the importance of the use of AI in spatial genomics to determine where the target is located in the tumor.

ConcertAI, which positions itself as an oncology GenAI company, discussed how it has partnered with NVIDIA to build its platform with a multi-agentic framework and proprietary SLMs and LLMs to support oncology clinical trials. It forecasts that by 2027, domain-specific GenAI tools that are fine-tuned for pharma applications will deliver a 3-5-fold higher ROI than general purpose foundation models, particularly in regulatory-sensitive contexts.

On a separate note, Joan Chambers, Senior Consultant, Tufts Center for the Study of Drug Development, presented findings from the Partnership for Advancing Clinical Trials (PACT), survey in which 15 biotechs and pharmas had participated, and noted that 75% considered hybrid decentralized clinical trials (DCTs) as a strategic objective and that they will use DCTs in more than 45% of their trials in the coming 5 years.

Be it drug discovery, or drug development, GenAI and agents are leading the way. Life sciences is adopting AI at the speed of thought and slowly but surely, making precision medicine a reality. As Bill Fitzgerald head biotech markets Google Cloud aptly put it, ‘If AI were a drinking game, most people wouldn’t make it to breakfast’.

“What really stood out at the BioIT event was the sharp appetite in the industry for implementing GenAI/agents to transform drug discovery and drug development, the focused yet nuanced investment strategies of VC firms for investing in TechBios vs life sciences tech companies, and the realization that for once, the entire innovation ecosystem, including regulators, is working together to accelerate disruptive innovation in the life sciences industry”, said Dr. Nimita Limaye, Research VP, Life Sciences, R&D Strategy and Technology, IDC.

Nimita Limaye - Research Vice President - IDC

Dr. Nimita Limaye is a Research VP with IDC Health Insights and provides research-based advisory and consulting services, as well as market analysis on key topics related to R&D Strategy and Technology in the life sciences industry. She addresses aspects such as the role of digital transformation in discovery research, e-clinical ecosystems, the role of NLP, AI, ML, DL, RPA, in transforming drug development, precision medicine, pharma R&D execution and strategic outsourcing models.

The U.S.-China tech rivalry has escalated to a new level this April 2025 with U.S. tariffs becoming a targeted trade tool. The Trump administration unleashed​ waves of tariffson Chinese goods: on March 4, a 10% tariff on all imports was imposed on top of raising tariffs from 10% to 20% on many Chinese electronics, machinery and industrial components; on April 2, ending of de minimis eligibility for China and Hong Kong (from May 2) and the “reciprocal tariffs” on key critical sectors imposed an additional 34%; and on April 8, an additional 50% tariff on semiconductors, EVs, and robotics was announced.

There also continues to be tariff escalations, clarifications and exemptions like in cases where final products have more than 20% of U.S. produced components. Chinese imports can be as high as 245% on needles and syringes or as low as zero for children’s books. Imported smartphones, computers and electronics appear to be currently granted a partial tariff reprieve and may only be subject to the March tariffs of 20%. These adjustments will probably continue as the impacts are felt by American consumers and the global markets.

Some view these measures as a means to derail China’s technological ascendancy by inflating costs, disrupting supply chains, and isolating it from global markets. Beijing’s counterstrategy, a mix of aggressive fiscal stimulus packages, supply chain resilience frameworks, and enforced technology self-reliance, suggests a calculated pivot to absorb short-term shocks while securing long-term growth.

The question then is: can China’s 2025 policy playbook neutralize U.S. tariffs’ impacts and sustain its ICT ambitions?

U.S. Tariffs’ Impact on China’s ICT Sector

IDC’s 2025 projections reveal a sector under strain but adapting. Our baseline scenario, with 20% tariffs in place, China’s ICT spending is expected to grow at 9.1% driven by domestic AI, cloud, and industrial software demand. With 50% tariffs, IDC’s downside scenario will slow down growth to 5.7%, with consumer electronics (PCs, smartphones) declining ​7.6% due to inflated import duty. An optimistic scenario, with tariffs rolled back, sees China’s ICT spending growth at 9.9%, fueled by pent-up innovation and continued existing global partnerships.

Contributing to China’s ICT spending in 2025 are the key trends we are seeing in software/cloud services (+10 to 16% YoY), largely due to organizations prioritization of digital efficiency, as well as in industrial technologies such as AI, IoT, automation, which remains resilient due to state subsidies. While the consumer hardware export market is expected to falter (e.g., iPhone costs rose 25% post-April hikes), domestic demand is expected to remain steady with government subsidies.

China’s Growing Tech Independence

There is increased emphasis on China’s “dual circulation” strategy that was originally a response to the U.S. tariffs and other sanctions introduced between 2018 and 2020. The strategy seeks to prioritize domestic consumption and non-western international trade to gain greater self-reliance and resilience. This strategy can be seen at work in the likes of DeepSeek whose open-source models are now powering a ​significant portion of Chinese Cloud services including Tencent, Alibaba and many more. Huawei’s Ascend AI chips also increased their share of AI-accelerator chips to ​27% in 2024 and is expected to reach 40% by the end of 2025.

Companies’ Response: Increased Agility to Respond to Tariff Chaos

Agility is the name of the game amid all this tariff chaos. Chinese tech giants are restructuring their supply chains by accelerating offshoring to Southeast Asia, shifting their assembly lines to sidestep tariffs. They are also diversifying their markets by pivoting to emerging markets, such as expanding electric vehicle and cloud service exports to tariff-immune regions. Some companies are also innovating operations by adopting leaner strategies like AI-powered factories to cut waste or using direct shipping tech from e-commerce platforms to bypass tariffs.

China’s 5-Point Plan: A Phase-Matched Counterattack

In response to each wave of tariffs, a 5-point plan helped blunt immediate impacts while increasing long-term leverage:

1. Domestic Demand Boost via “Consumer Upgrade Action” Plan

With the aim of boosting domestic demand and spurring economic growth, the Chinese government has put in place subsidies and trade-in programs for eligible consumer goods. For smartphones, tablets, and smartwatches, the government subsidy is up to 15% of product price, capped at ¥500/item. This trade-in program is expanded in 2025 to apply to other electronics, EVs and home appliances as well, as illustrated in the following chart:

The subsidies also target rural/low-tier cities for 5G adoption, smart home devices, and rural e-commerce logistics. There are also plans to stabilize consumer confidence through stock/real estate market reforms and wage growth policies.

The effect of these subsidies can be seen in the latest sales-out PC shipments with flat growth of 1% in 1Q 2025 compared to -16% in 1Q 2024.

2. Increased Funding for Emerging Tech

China’s $138B Innovation Fund aims to boost homegrown tech innovation and reduce foreign reliance amid escalating U.S. tariffs. It focuses on discovering and increasing “original technological breakthroughs” in early-stage startups in AI, quantum computing, hydrogen energy, biomanufacturing, and 6G technology. Funding is a combination of state capital and private/local government long-term (over 20 years) investments in R&D infrastructure and tech-to-product pipelines.

The innovation fund also involves industry stakeholders such as the MIIT (Ministry of Industry and Information Technology), academia, enterprises (to enhance smart manufacturing), and foreign collaborators in the telecom/robotics sectors. The program also aims to cultivate and highlight domestic STEM talent to offset global supply chain risks, with existing success stories like DeepSeek.

3. China’s “Five Financial Priorities” Guidelines

These guidelines provide financial support to organizations providing technology, green finance, digitalization, financial inclusion, and pension products and services. It uses technology investments to bolster innovation and self-reliance. Key measures include: comprehensive financing for national tech projects and SMEs via equity, debt, and insurance tools; capital market focus prioritizing early-stage investments in emerging technology through multi-layered markets; risk mitigation mechanisms to disperse R&D risks and expand venture capital/angel funding; and patient capital to cultivate long-term investments that nurture tech leaders, unicorns, and specialized SMEs. This framework integrates financial resources to advance China’s tech competitiveness and industrial upgrades.

4. Belt and Road 2.0: Decoupling from the U.S. via Global Partnerships

“Belt and Road 2.0” aims to reduce reliance on the U.S. by expanding partnerships and promoting diversification. Strategies include upgrading multilateral mechanisms (e.g., proposed creation of a global banking infrastructure), prioritizing green tech and digital infrastructure (e.g., Green Silk Road projects), and deepening cooperation with Global South nations (e.g., Indonesia, Malaysia). It counters U.S. decoupling attempts by fostering inclusive, non-conditional collaboration and integration with third-party markets. These initiatives also emphasize resilience through regional alliances and tech self-sufficiency.​

5. Private Enterprise Symposium 2025

The symposium was used to develop joint approaches between the public and private sector to offset U.S. tariffs. DeepSeek’s NLP breakthroughs and Unitree’s humanoid robots were highlighted as successful examples that have reduced reliance on foreign tech. At the symposium, China’s President Xi Jinping pledged to dismantle market barriers, ensure fair access to resources, and expedite laws protecting private enterprises.

Conclusion

Considering ongoing trade tensions, both U.S. and Chinese IT companies must adapt quickly to shifting geopolitical dynamics. Agility and scenario planning will be critical. Companies need to develop flexible strategies and implement tools that assess the potential impacts of tariff changes and geopolitical shifts. Regular cross-functional reviews can help minimize risks and ensure swift responses to market changes.

Furthermore, customer-centric innovation will drive market success. Companies must prioritize local market needs through targeted research, ensuring that their products align with specific regional demands such as those seen in healthcare, education, or government sectors. This approach is vital as trade restrictions may limit access to certain markets, but the demand for innovation will remain constant.

Strategic partnerships and alliances are also crucial for navigating challenges. U.S. and Chinese companies should collaborate with local tech providers to better understand market regulations and explore joint ventures to mitigate tariff impacts.

As the demand for smart home appliances grows, especially with trade-in programs, vast amounts of consumer data will fuel the expansion of B2C AI use cases in China. Additionally, China’s focus on infrastructure projects and domestic LLM development marks a new phase in technological independence, where reliance on U.S. technologies may decrease.

By focusing on flexibility, innovation, and strategic partnerships, both sides can thrive despite current challenges.

Learn more how you can navigate China’s geopolitical storms with trusted intelligence, read this complimentary IDC Market Note excerpt.  Alternatively, you can book a meeting with an IDC analyst for a consultation by submitting this form.

Kitty Fok - Managing Director - IDC

As the managing director of IDC China, Kitty Fok manages over 80 specialized analysts and leads all research for the China region. Kitty's expertise includes an in-depth understanding of the IT market, with a focus on emerging technologies, the impact of the Chinese government's policies, and digital transformation, as well as the fundamentals of forecasting, business development, and strategic planning/analysis. She is often invited to be a guest speaker in the industry's leading events and is regularly interviewed by the mainstream media, including the BBC, CNN, Bloomberg, CCTV, USA Today, The Wall Street Journal, South China Morning Post, and China Daily.

IDC’s 2024 Customer Experience Management Strategies survey found that businesses globally have shifted to a focus on improving the effectiveness of their customer experience (CX) investments while driving profitable revenue growth.

IDC finds that C-suite priorities for customer experience are squarely focused on optimizing experience delivery, making experience consumption easy, and achieving experiential value parity. But achieving these directives requires organizations to rethink experience delivery as greater than just the sum of multi-channel, front-office interactions. When done right, IDC research shows that unified CX can lead to higher customer retention, improved advocacy and ultimately profitable revenue growth.

What does it mean to orchestrate unified experiences across the full lifecycle of customer outcomes?

IDC’s 2024 CX Path survey found that improving scale and consistency for orchestrating experiences across the enterprise was the #1 business driver for companies implementing customer experience orchestration solutions. To negotiate the complexity across channels, touchpoints, journeys, and systems/applications across functions, that deliver value-based outcomes based on changing customer context at every moment, organizations must adopt a multi-layered approach to CX delivery across all organizational layers, including middle and back-office functions. This involves integrating systems of record, insights, control, and engagement to ensure seamless and consistent customer interactions.

Systems of Record

Organizations need to address data fragmentation by unifying customer and operational data. This integration is crucial for scalable AI workloads and deeper customer insights. IDC’s 2024 CXMS survey found that only about 24% of organizations have access to a single source of customer data with full integration across the stack. By pooling data from front-office and back-office functions, companies can create a comprehensive view of the customer journey.

Systems of Insights

A cohesive fabric of customer insights is essential. Organizations should combine structured and unstructured data to generate actionable customer intelligence. Sharing and integrating these insights into daily operations can significantly improve customer engagement and business outcomes.

Systems of Control

The orchestration layer acts as the connective tissue, integrating various systems and ensuring real-time, context-aware customer engagement. This layer leverages AI and automation to manage workflows, business logic, and customer interactions, enhancing decision-making across the organization.

Systems of Engagement

This layer includes, but is not limited to, the various customer engagement channels across digital, physical, and blended, employee-facing tools and platforms that may be either exclusive or shared by both employees and customers, and various engagement channels through which 3rd parties engage with the brand. Organizations that isolate experience delivery to one stakeholder group will ultimately get left behind.

Where do AI Agents and Agentic systems fit into intelligent experience orchestration?

AI Agents are a route to deliver greater sophistication for unified experience orchestration. Data and computing power advancements and the availability of advanced reasoning models are driving more sophisticated, more advanced Agentic AI capabilities. Core characteristics of AI Agents make them optimally suited to address the gaps organizations must fill in order to deliver unified intelligent experience orchestration.

AI Agents all share the following core characteristics:

  • Planning: AI agents can plan and sequence actions to achieve specific goals. Empowers Al to break down complex tasks into manageable steps, developing structured approaches to problem-solving. The integration of LLMs has revolutionized their planning capabilities.
  • Perception: AI agents can perceive and process information from their environment, to make them more interactive and context aware. This information includes visual, auditory, and other sensory data.
  • Tool usage: Advanced AI agents can use various tools, such as code execution, search, and computation capabilities, to perform tasks effectively. AI agents often use tools through function calling.
  • Multi-Agent Collaboration: Facilitates multiple Al agents working together, each with specialized roles, to tackle complex problems more effectively.
  • Memory: AI agents have the ability to remember past interactions (tool usage and perception) and behaviors (tool usage and planning). They store these experiences and even perform self-reflection to inform future actions. This memory component allows for continuity and improvement in agent performance over time.

This enables AI Agents to create a new layer of ‘intelligent actions’ on top of CX and business applications. AI Agents consume and hand off customer and operational data, insights, tasks, across systems, workstreams, processes, and business functions, in a continuous, context-aware, manner. A system of AI agents essentially functions as the glue / connective tissue that connects organizational functions, systems/applications (customer-facing, operational systems, and employee tools), and data. This offers organizations the needed automation and scale for seamless vertical integration through the multiple layers for unified experience orchestration.

With 35% of enterprises reporting that fulfillment aspects of the customer journey don’t extend beyond front-office processes, enterprises face a significant gap in orchestrating and delivering whole journey customer experiences. Agentic AI presents an equally significant opportunity to unlock machine scale, beyond just productivity gains to improve connectedness across the entire CX ecosystem with intelligence at the core.

AI Agents can even bridge gaps in the fragmented technology landscape at many organizations. However, harnessing value from Agentic AI for CX will require enterprises to address long-standing, foundational challenges such as customer and operational data integrity, unification, and governance, AI governance, and customer privacy/security. Crucially, organizations must prioritize approaches to address the workforce impact of GenAI and agentic technology capabilities up front, especially front-line employees, who will continue to remain an integral part of delivering excellent customer experiences.

Sudhir Rajagopal - Research Director, Future of Customers and Consumers - IDC

Sudhir is Research Director for the CMO Advisory Service, focused on creating and executing programs and research to help companies make data-informed decisions about marketing. Sudhir's research and advisory focuses on how organizations must consider transforming their marketing function with AI at the center. In his role, Sudhir monitors the continual innovation of technologies, business strategy, and customer experiences to empower marketing leaders to make decisions on marketing strategy and operationalization.

There is much interest and inquiry related to the recent tariff actions by the current U.S. administration, how they will impact technology pricing and what – if any – strategies are recommended.

To better assess the recent and possible future tariff impacts on the technology industry, we first need to acknowledge that due to the technology industry globalization, nothing is exclusively manufactured or hosted in the United States. Technology companies all have some dependent regional relationship with Asia, Mexico, and/or Canada, which is where the recent tariffs have been targeted. These tariffs, if put in place for the long term, will have an impact on hardware, cloud services, and to some degree, software costs.

Larger suppliers – including but not limited to – Microsoft, Google, Amazon, and IBM all have data centers in Asia, Canada, and Mexico. They also purchase large scale servers, storage and related components. Depending on how they are getting assembled and where they are getting shipped from and to, there would be varying tariff impacts to their component pricing. This likely means some of that pain will be passed on to their clients.

Hardware, including semi-conductors and related components, imbedded software used for PC’s, network & telecom hardware, smart phones, smart devices, large scale computers and storage, are all part of the technology component eco-system. Due to the current state of inflation, continuous improvements and advancements, like AI in hardware, there are always expectations of price increases through each enhanced model year.

If tariffs are in place long term, companies should brace for hardware increases anywhere from 9% to 45%. These increases go across various hardware platforms. Customers may not feel the related price impact immediately after tariffs have been announced as the effects on the supply chain typically take time to play out. IDC is now seeing tech companies in the hardware space already increasing prices to their clients.

Cloud services companies such as AWS and Microsoft have held prices steady so far and have not announced when and if price increases will occur. AWS is offering incentives to their long-term clients who continue to use and plan to purchase additional cloud services. AWS appears to be doing this to maintain a competitive advantage.

In the hardware space it is likely that most suppliers will look to hedge their bets and begin price increases sooner or press their customers to take early hardware inventory to avoid major price increases as the tariffs go full board. HPE and Dell have already begun increasing prices to their clients, yet Cisco and Apple have held off so far.

To address risk in this space companies may take hardware inventory earlier than planned which can create a delay or shortage of products in the supply chain. The likelihood is that many organizations having critical and productivity technology requirements will be scrambling to manage budget and infrastructure risk.

One choice that some companies are making already is to delay and/or reduce the volume of orders, filling only the most critical of needs. Another common practice that some companies are looking to consider is brokered hardware. This is mostly the purchase of used hardware from OEM’s and third parties such as resellers and other industry specific suppliers. The idea is that used hardware can mitigate the increased pricing of new hardware that is already in supplier inventory and immune to tariffs. The advice here is for organizations to be rigorous, disciplined, and have governance with how any used hardware brought into their infrastructure needs to be adapted into their ecosystem.

What we do not know with certainty is how the intended strategy for these tariffs will play out and resonate across the technology supply chain, hence the need to keep close to all available data sources. There appear to be specific tariff objectives regarding each country, meaning that these tariffs may have multiple intentions other than the traditional implementations. With Canada, the tariffs are being used to address the flow of illegal narcotics into the U.S. With Mexico the tariffs are being used to address the situation at the U.S. southern border. With China, the tariffs are being used to address the opioid supply chain situation. With parts of Southeast Asia tariffs are being used to address data privacy concerns.

Given the non-traditional and negotiation use of the tariffs, there is a real need to be vigilant with the ongoing activities, discussions, and announcements to avoid making poor decisions and/or taking unnecessary actions. It’s better to watch how this plays out day by day. There is a lot at stake here if companies begin to react too quickly. Of course, a concern could be that if timely decisions are not made in synch with the tariff actions occurring, companies could end up with unplanned, unmitigated risks and consequences.

Given the complexity of these tariffs and the ongoing shift of positioning it is very challenging to decide when and how to implement any plan. The good thing is that with the current White House administration we are getting transparency with continuous updates on the tariff situation from a variety of media sources. It would appear business leaders will at least have some reasonable time frame to execute a well-orchestrated plan. This helps with the decision-making tree organizations need to create and manage. Creating these critical decision planning mechanisms helps to make informed decisions rather than uninformed rash decisions, especially in this current fluid situation.

Keep in mind that in 2022 the CHIPS (Creating Helpful Incentives to Produce Semiconductors) and Science Act was put into place to help reduce the United States dependency on other countries for designing and building technology components and infrastructure. There is still a way to go before the goal is reached. However, there are estimations that the United States will triple its current semiconductor production by 2032. The CHIPS and Science Act was not initially planned to eliminate global technology trade but more to reduce its current global technology supply chain dependency. Most recently the new administration has been threatening to terminate the funding of the CHIPS act but as of now, it doesn’t look like it will be supported.

Latest news: The White House has announced a temporary 90-day tariff exemption on technology products, providing relief under HTSUS code 8471, which covers a broad range of devices and components such as smartphones, networking equipment, computers (including laptops), and storage devices. This move should prevent tech suppliers from raising prices during this period.

Here are a set of recommendations for what you can do now to plan and help address possible impacts to your technology supply chain.

  • Create and/or appoint someone to provide daily briefings to your technology and C-Suite executives on the ongoing tariff activities. This will increase your chances of making more informed decisions.
  • Take full inventory of your short- and long-term critical technology purchase plans and rank them in importance.
  • Have your category sourcing managers, especially those assigned to larger suppliers keep a close eye on multiple public information resources related to tariff impact.
  • Discuss and review possible purchase impacts and strategies for reducing and/or eliminating tariff-related cost impacts with your suppliers, including resellers.
  • Assess whether any planned technology purchases made ahead of existing plans will have any long-term repercussions to your technology roadmap and/or fiscal plans to your organization.
  • Consider whether brokered hardware can be a partial mitigation to price increases.
  • Confirm whether any orders currently in play and already contracted will have any price impact. This might be complicated if the inventory has not been built yet.
  • Talk to your partners, including resellers, consultants, research firms, and others about what they are seeing with customers in terms of impact and how they are addressing the issue.
  • Execute your well-planned risk-based and flexible strategy with the awareness that any of these early political stage acts will likely have many unpredictable moments.

Latest Update: May 7, 2025.

Over the last five years, B2B tech buyers’ preference for digital engagement across their journey has risen substantially. GenAI is a driving force behind this shift in buyer behavior – and marketers must capitalize on it before it’s too late.

In 2024, 74% of B2B tech buyers have said they’re going to engage more with e-commerce and work less with salespeople, an increase from 56% in 2020.

IDC has learned that 50% of mid-market tech marketers are either in a “wait and see” mode, or in an AI experimentation phase.  But the C-suite says that the number 1 external factor that will drive marketing expectations in the next year is technological advancements, specifically Gen AI. It is critical for mid-market tech CMOs to identify the most effective strategy and tactics to engage with their customers for 2025 – and meet C-suite expectations. 

IDC’s webinar “Marketing’s Imperative in the Dawn of the Experience Era” by Laurie Buczek, GVP, Executive Insights and Leadership Services talks through how marketers must react to a shift in buyer behavior, C-Suite expectations and their changing own roles.

Here are 3 burning questions answered in the webinar.

How important is it to keep experiences ‘human-like’ while using AI tools, and how do you recommend marketers do that? Should humans be worried about their jobs? Or will humans still be needed to manage the AI tools?

Keeping experiences “human-like” while using AI tools is crucial, especially in B2B tech marketing, because buyers want to feel seen, heard, and understood. Historically, early chatbots lacked human-like responsiveness—leaving users frustrated with clunky, impersonal interactions. Today’s buyers expect personalized, frictionless, data-backed journeys.

Marketers must focus on creating digital experiences that feel human, especially across self-service channels where buyers want to quickly find information and move forward in their journey without hurdles.

89% of buyers in IT roles agree they will use more AI guided assistants to act as their intermediary before they reach out to a salesperson.

Humans shouldn’t worry about being replaced by AI but instead should focus on evolving alongside it. Buyers still value human connection, particularly when it comes to building trust and relationships. While digital experiences are increasingly replacing tasks once handled by humans, the human role isn’t disappearing—it’s being redistributed. AI can take over repetitive, time-consuming tasks like data entry, reporting, and responding to basic inquiries. This gives marketers the freedom to focus on strategic, creative, and relationship-building work—areas where human insight remains irreplaceable.

Marketers must learn to manage AI tools and to guide their use strategically. As AI continues to be integrated across the buying journey, marketers must lead the design of seamless, omnichannel experiences that combine digital tools, chatbots, interactive content, and in-person engagement. It’s not about choosing between human or AI—it’s about harmonizing them. Trust is still built through human interaction, but buyers are increasingly comfortable engaging through digital channels, even for complex or high-value decisions. AI isn’t replacing humans; it’s reshaping how and where we show up—and marketers who embrace this shift will lead the way.

C-suite expectations seem to be high when it comes to AI, automation and Martech. What’s the one thing a CMO should focus on first to capitalize on the AI potential?

A CMO must commit to becoming the “conductor of the orchestrated journey”. With AI and automation becoming central to C-suite expectations, the one thing a CMO should focus on first is building a strong, connected foundation of customer data and analytics. This enables everything else—predictive models, intelligent content delivery, and autonomous marketing. By becoming the “conductor of the orchestrated journey,” CMOs can use this data to deliver the right message, at the right time, through the right channel.

This focus empowers marketing teams to drive not only customer acquisition and engagement but also to fulfill their expanding role as stewards of the full digital customer experience. Without this strong data infrastructure, AI capabilities can’t reach their full potential, and marketing will struggle to meet evolving executive expectations.

Additionally, CMOs should prioritize modernizing the Martech stack to activate AI effectively and align with C-suite priorities. The expectation isn’t just about implementing tools—it’s about marketing leading digital business transformation, improving customer intelligence, and governing the responsible use of AI. As AI becomes deeply embedded in how buyers engage and how marketers operate, CMOs are now central to ensuring both innovation and trust. The executive team is looking to marketing not just for growth but for leadership in navigating this new AI-driven era. So, by focusing first on data readiness and Martech modernization, CMOs can unlock AI’s full potential and position marketing as a strategic driver of business transformation.

How do you see product-led growth as a key to success for B2B companies?

There are debates about what works better, product-led growth (PLG) or brand-led growth but the core message is no matter what way you want to grow, make sure that your growth is centered around the customer. The leaders that succeed are the ones that prioritize a customer-centered approach, ensuring that their product delivers immediate value and drives adoption naturally. When businesses rally around the customer’s needs, they create a more seamless and engaging experience that fosters organic growth, reduces friction in the buying process, and ultimately leads to better results.

Companies that fail to align strategies around the customer often experience internal conflicts that can hinder progress, create inefficiencies, slow decision-making, and, in extreme cases, contribute to a company’s downfall. The key to success is embracing a collaborative, customer-first mindset across the organization that is informed by AI-enabled market and customer insights.  When product, sales, and marketing work together under a unified vision, they create a growth engine that’s fueled by customer satisfaction and advocacy. In this way, no matter the growth strategy, the culture shift enables sustainable, long-term success for B2B companies.

The Marketing Imperative

The next era of marketing is here. AI is opening a new world for marketers to drive innovation, differentiate their messaging and accelerate growth. The beauty of AI is it allows marketers to shift mundane tasks to AI while unleashing their own creativity. Think about ways that you can use AI to do things differently from a marketing standpoint.  Marketers that are leading the charge into the AI-fueled experience era are already seeing great results. For more insights on how to prepare for the next era of marketing, watch IDC’s webinar, “Marketing’s Imperative in the Dawn of the Experience Era”.

Laurie Buczek - GVP, Research - IDC

Laurie Buczek is the Group Vice President of Executive Insights at IDC, where she spearheads the global research initiatives that shape the industry's understanding of digital business transformation, evolving buying behaviors, and technology investments. She leads IDC's premier research practices, including the CMO Advisory Practice, C-Suite Tech Agenda, and Digital to AI Business Transformation. As the principal analyst for the CMO Advisory Practice, Laurie advises senior marketing leaders on driving business growth through deeper customer connections and the strategic evolution of the marketing function, with a keen focus on AI's transformative impact. Her expertise and thought leadership empower executives to navigate the intersection of technology, business strategy, and customer engagement in today's dynamic digital landscape.

The 2025 edition has once again cemented Hannover Messe’s status as the world’s most important industrial trade fair, serving as a vital convergence point for technology, business, and international cooperation. The March 31–April 4 event drew an impressive crowd, with around 127,000 visitors making their way from 150 different countries to engage with the 4,000 exhibiting companies.

During the 40+ meetings I attended, a palpable sense emerged that today’s driving industrial productivity force is the full integration of the physical world of machines with digital intelligence (including AI, obviously).

A fellow delegate and I joked that if an AI bot had been eavesdropping at Hannover Messe 2025, recording and analyzing all that was discussed, so much knowledge could’ve been extracted as to move industry 10 years forward overnight.

While I do not have such a brain or computing power, I still managed to get down in Hannover some of the most compelling trends that I believe are shaping industry today.

1. The BANI World is Here — and Agility Wins

We have entered the era of the BANI world — brittle, anxious, nonlinear, and incomprehensible. It’s clear that the old certainties are gone and the name of the game now is agile and operationally excellent. Having digital tools and the ability to make smart, data-driven decisions is no longer optional; these are essential to navigate the new reality.

2. Think “Information Superhighway” — Not Just “Data Integration”

Everyone’s talking about data integration, but it’s more than just connecting systems. It’s about building a reliable, high-speed “information superhighway” from the edge to the cloud. Just like adding lanes to a real highway, the more data we can access, the more we’ll want. CIOs will need to think continually about their data infrastructure.

3. Industrial AI is Blossoming

Industrial AI isn’t a futuristic concept anymore — it’s taking root in practical ways.  The companies that will succeed are those that take a focused approach, figuring out exactly how AI can solve specific problems in their operations. It’s about moving beyond the theoretical and getting real, reliable results on the shop floor.

4. AI Agents — Exciting, But Let’s Be Strategic

AI agents and orchestrators are definitely generating excitement, and they could be game changers. But we need to think carefully about whether we’re seeing them as a quick fix for underlying issues or as a way to really amplify the power of our data. The latter is where the real potential lies.

5. Sensing the Shop Floor Like Never Before

The ability to get a complete, real-time pulse of the shop floor is becoming a reality thanks to connected tools, robots, and cameras. And with AI, both workers and supervisors can analyze this wealth of data to boost productivity and optimize processes in ways we couldn’t before. It’s about unlocking the hidden secrets of our operations.

6. Empowering the Frontline Worker

The explosion of connected worker apps is really interesting. It’s about connecting people, processes, and machines in a more seamless way. This can help bridge skill gaps, accelerate learning, and create a more engaging work environment, especially for the next generation of workers.

7. The Metaverse is More Than Just a Visual Stunt

Forget just seeing a digital twin — with platforms like Omniverse, we’re moving toward a fully immersive “vision experience.” Imagine being able to zoom from a high-level overview down to the tiniest detail on the shop floor, all synced with real-time production data. Furthermore, the power to “rewind” and “fast-forward” production steps for meticulous traceability is there. That’s a game changer for understanding and managing operations.

8. Production Scheduling — Finally Getting the Spotlight

Production scheduling might not be the flashiest topic, but it’s becoming increasingly critical. With better data integration and AI, and the need to connect production with the wider supply chain, these tools are finally getting the attention they deserve for optimizing efficiency.

9. The Power of Working Together

The idea of ecosystems built on shared data structures, like those promoted by IDSA, is gaining real traction. Initiatives like Manufacturing-X, Factory-X, and Catena-X show a renewed focus on companies collaborating to solve big business challenges in a more connected way.

10. MES is Evolving — Has Evolved — Fast

The traditional manufacturing execution system (MES) is changing rapidly to meet new market demands. We’re seeing a big push toward cloud deployment, more flexible architectures, user-friendly designs, integrated data platforms, better connections with other enterprise systems, and the incorporation of AI and analytics. It’s a whole new era for MES.

In highly competitive markets, vendors must constantly look for new and engaging ways to stay top of mind with buyers. In the business-to-business (B2B) world, much marketing comes via content or thought leadership campaigns.

Salespersons, in addition to understanding the business and the products and services they sell, need to be able to contextualize this value within the marketplace and the trends and drivers that are impacting buyers.

What makes content truly effective in this space? And how can you develop content that both works for your target audiences and gives your salespeople a competitive edge in their client conversations?

The Importance of Storytelling

Humans are hardwired for stories. Narratives evoke emotions, create memorable experiences, and make complex information digestible.

In B2B marketing, storytelling helps deliver narratives that take buyers on a journey of understanding that uncovers insights they may not yet had exposure to. Without directly advertising or selling, storytelling can present an alternative view of the challenges businesses face in the industries in which they compete.

Information Overload: Strategies for Creating Effective Content

In today’s digital age, buyers are bombarded with messages from all directions. AI and instantaneous access to information through various media contribute to an “always-on” global marketplace.

Marketers and salespeople must also continually stay up to date with clients, prospects, the competition, and the factors that are impacting buyers. Both seller and buyer may wind up suffering from information overload, resulting in analysis paralysis and high levels of attrition — a situation in which no one wins.

Building Buyer Relationships: Key Components of Engaging Marketing Content

The secret of great content lies in providing a combination of stories, ideas, and insights. These elements are the building blocks of all successful content marketing campaigns.

By weaving together compelling narratives, innovative ideas, and valuable insights, you can create content that not only captures attention but also drives action with buyers. Leveraging data points and case studies further enhances your business credibility, sending a clear message to the marketplace that you have evidence to support your insights and messaging.

Too often, content is created in isolation. A good marketing team will look at what the competition is doing, compare it to current thought leadership campaigns, topics, and talking points, and find white space for new stories and discussion.

Without knowing what is out there, it’s hard to find ways to improve upon it and capture the right audience, let alone buyer attention!

From Insights to Action: Crafting Targeted Marketing Content

Crafting effective marketing content for your sales teams is essential in today’s crowded markets. But how do you ensure your content hits the mark? Here are some key strategies:

1. Know your audience. This is the first step in creating content that resonates. Who is the audience? What are their pain points? What solutions are they seeking? The more you understand your audience, the better you can tailor your content to meet its needs.
2. Build resonant content. Once you know your audience, the next step is to create content that speaks to them. This means addressing their specific challenges, providing valuable insights, and offering solutions relevant to their needs. The goal is to create content that not only informs but engages and inspires.
3. Get out and test. Have your salespeople take your content — whether written/visual material or just talking points — out to clients to see how it resonates in client and prospect conversations. Providing content that holds up in important conversations is key to building trust and ownership in B2B relationships.

Conclusion

In the world of B2B marketing, content is a powerful tool that influences buyer decisions and fosters long-term relationships. By prioritizing storytelling and understanding your audience’s pain points and aspirations, you can create engaging narratives that resonate deeply. This approach helps you cut through the noise of a crowded marketplace and make a lasting impact.

The secret to great content lies in combining authentic stories, innovative ideas, and valuable insights. Empowering your marketing and sales teams with strong narratives enhances their ability to confidently convey your brand’s message and engage meaningfully with potential buyers. Ultimately, effective storytelling can set your brand apart and lead to greater recognition and success in the B2B landscape.

 

Interested in how IDC can help you create compelling content, messaging, and campaigns that truly engage your target audience? We can help you address your top priorities. Whether you’re looking to generate and nurture leads, establish your brand as a thought leader, or develop a strong value proposition that highlights what sets you apart, our expertise can make a significant impact. Let’s connect and explore how we can work together to drive your success!

The wave of new tariffs introduced by the US administration will drive up technology prices, disrupt supply chains, and weaken global IT spending in 2025. Not only will these tariffs have a direct inflationary effect on technology prices in the US, but growing concerns about a broader economic slowdown will lead to weaker investment by businesses and consumers around the world, even prior to any slowdowns appearing in earnings or economic data. This impact will unfold quickly in 2025, despite the strong countervailing force of growing demand for AI and related technologies.  

On March 31, IDC published a downside scenario in which global IT spending would grow by 5%, rather than the 10% growth we currently project in our baseline forecast. This scenario was modelled before the latest tariff announcements in April but already reflected the potential impact of a broadening economic slowdown. While the details of final tariffs don’t align exactly with that downside scenario, we expect our baseline forecast will move towards the lower end of that 5-10% range over the next few weeks.  

As a result, we are developing a new downside scenario that reflects the possibility of a broadening global trade war, which will likely include additional tariffs and retaliatory measures by many countries. These may include protective actions against countries other than the US. Our new baseline forecast in April will reflect what we now know, which is that these new tariffs will have a significant negative impact on the ICT industry in 2025. 

This situation remains highly fluid and dynamic. Tariffs set to be implemented on April 9 may yet be adjusted or postponed, and the response in other countries could include stimulus measures to protect short-term economic stability in China and elsewhere. This is a moving target, but the risk of a global recession is higher than one week ago, with some economists now pegging it at 40%, and this uncertainty will have an immediate effect on business and consumer confidence.  

New tariffs will have an inflationary impact on technology prices in the US, as well as causing significant disruption to supply chains. While this impact will be most immediate in devices, then other compute, storage, and network hardware as well datacenter construction, even sectors such as software and services will be affected if tariffs are longer lived. There’s also an indirect negative impact of tariffs on software and services, where the provider delivering the software and/or services will incur increased costs for the infrastructure to develop and deliver the product, meaning that many software and services vendors will need to include increased costs in their own pricing assumptions.  

Some devices and hardware vendors may seek to mitigate the impact, but US customers will swiftly feel the effect of higher prices. Lean inventories and rapid manufacturing cycles mean that price hikes will materialize quickly. The broad, unfocused nature of these new tariffs leaves manufacturers little room to adjust.  

It’s important to note that our surveys of IT buyers had remained relatively resilient through March. While there is significant concern over the uncertainty caused by tariff policies, a majority of firms in March were trying to protect their key investment priorities around AI, analytics, security, and IT optimization. IT is more important to the business than ever before. We will be checking in with IT leaders on these same issues in mid-April. 

Price sensitivity is rising, however, which history shows is a major cause of competitive disruption. The IT market will continue to be more resilient than during previous economic cycles, and more resilient than many other sectors of the economy. Service providers will try to maintain their aggressive investment in deployments of AI infrastructure, and they have the ability to optimize asset use to much greater extent than even the largest of their enterprise customers. For businesses, IT has largely transitioned from a capex to an opex model in which a larger share of technology spending is essential to business operations and is increasingly tied to business conditions.  

Despite all of this, the reality of a slowing economy and rising unemployment will have a direct impact on IT spending. Consumer spending is likely to be hit hard. Businesses will first look to cut spending on devices and on-premise infrastructure, seeking rapid cost benefits to protect the bottom line. Any job cuts will have a direct impact on some types of IT spending.   

IT services spending is vulnerable to a slowdown in new contract signoffs, which will be driven by a broader economic slowdown in the next 6-12 months. Combined with other economic headwinds, including government spending cuts in the US, this adds up to a much weaker outlook for short-term investment in new technology projects.  

Conclusion 

Our March 31 forecast of 10% growth for global IT spending will be reduced significantly in April, based on the tariff announcements of April 2. The situation remains extremely fluid, and subject to new announcements or changes, but a weakening economy will lead to IT spending cuts and delays in the next six months. We will move closer to the previous downside of 5% growth, which reflects a rapid, negative impact on hardware and IT services spending. 

Agility is key to navigating this period of major disruption and uncertainty. It may take several months for the full picture to become clearer, but this is already causing delays in some types of investment. Underlying demand for IT is still high, and the likelihood of a decline in overall IT spending remains very low, but adjusting to a new baseline of slower growth in the near term is our new reality.  

The tariffs announced this week have introduced significant instability into the IT market. If the measures announced on April 2 stay in place and trigger an escalation of retaliatory measures leading to a global recession, the impact on IT spending will be swift and downward, potentially leading to the worst market performance since the great financial crisis of 2008-2009. 

IDC will continue to monitor developments closely. We’ll update our forecasts accordingly and publish new analysis as the implications for IT investment become clearer in the weeks and months ahead. 

Stephen Minton - Group Vice President, Data & Analytics - IDC

Stephen Minton is a group vice president with the IDC Data & Analytics group, focusing on ICT spending and macroeconomics. Mr. Minton is responsible for Worldwide ICT Spending programs, including the Worldwide Black Book, Worldwide 3rd Platform Spending Guides, and Worldwide Telecom Services Tracker. Mr. Minton's research expertise includes global ICT and economic analysis, and he tracks market data across hardware, software, services, telecom and emerging technologies. He is the author of papers that focus on the economic impact of IT, and is a regular speaker on the subject of IT spending. In 2002 he addressed the United Nations in New York, speaking to UN ambassadors on the subject of the Information Society. Mr. Minton previously worked with Digital Equipment Corporation (DEC), before joining IDC in 1998. Originally from Hartlepool in the North of England, he graduated from the University of Salford in 1995. He has also worked in the field of consumer market research with Millward Brown International.