On October 19th, 2023, AMD announced new processors for the workstation and high-end desktop (HEDT) markets. The processors are based on 5nm Zen 4 architecture and offer up to 96 cores and 192 threads of performance.

The Ryzen Threadripper PRO 7000WX series of processors, which are designed for professionals and businesses that demand top-tier performance, reliability, expandability, and security, feature AMD PRO technologies and eight channels of DDR5 memory.

Meanwhile, the Ryzen Threadripper 7000 series signals AMD’s return to the HEDT market, offering overclocking capabilities and the maximum clock rates possible on a Threadripper-based CPU. Power, performance, and efficiency are all made possible by 5nm technology and Zen 4 architecture. The Threadripper 7000 series provides ample I/O channels for desktop users, with up to 48 PCIe Gen 5.0 lanes for graphics, storage, and more.

The new processors were available from OEM and system integrator (SI) partners, including Dell Technologies, HP, and Lenovo, as well as do-it-yourself (DIY) retailers, from November 21st, 2023.

On November 13th, 2023, AMD announced the Radeon PRO W7700, a new workstation graphics card that offers high performance, reliability, and top-notch price/performance ratios for professional applications. The new card bridges the gap between the high-end Radeon PRO W7800 (32GB GDDR6) and the entry-level Radeon PRO W7600 (8GB GDDR6). The 16GB VRAM graphics card supports DisplayPort 2.1, AI acceleration, and hardware-based codecs for video editing and production.

This review will focus on the AMD Ryzen Threadripper 7980X processor, with additional coverage of the AMD Radeon PRO W7700 professional graphics card.

Test System Details

AMD Ryzen Threadripper 7980X Processor

The AMD Ryzen Threadripper 7980X processor (non-pro) signals AMD’s return to the HEDT market, offering overclocking capabilities and the maximum clock rates possible on a Threadripper series CPU.

Power, performance, and efficiency are all made possible by 5nm technology and Zen 4 architecture, which are available for the DIY market and SI partners. The Threadripper 7000 series provides ample I/O channels for desktop users, with up to 48 PCIe Gen 5.0 lanes for graphics, storage, and more.

AMD Radeon PRO W7700

With 16GB of Error Correction code (ECC) memory, the AMD Radeon PRO W7700 easily handles data-intensive operations. In terms of visual fidelity, the card features the New Radiance Display Engine, which supports 12-bit high dynamic range (HDR) color and recreates over 68 billion unique colors with high precision.

The Radeon PRO W7700 GPU’s major feature is its 48 unified RDNA 3 compute units, 48 second-generation ray accelerators, and 96 Al accelerators. The card has 16GB of GDDR6 ECC memory and four DisplayPort 2.1 (UHBR 13.5) connectors. The connectors, which provide up to 52.2 Gbit/s total bandwidth, are designed for 10K displays with 60Hz refresh rates, 2x8K displays, or 4x4K displays with Display Stream Compression technology.

AMD’s new dual media engine offers hardware-accelerated support for AV1 encoding, with the Radeon PRO W7700 capable of delivering 7680×4320 video at 60fps (8K60). The media engine supports two AVC and HEVC streams that can be encoded or decoded simultaneously. For live broadcasters, AMD has included many capabilities that increase both performance and quality.

Memory and Motherboard

We installed the Ryzen Threadripper 7980X processor on a Gigabyte TRX50 AERO D motherboard, alongside the G.SKILL Zeta R5 Neo DDR5-6400, CL32-39-39-102, 1.40V, 128GB (4x32GB) kit with AMD EXPO memory overclocking and ECC support enabled.

AMD Ryzen Threadripper CPUs only support DDR5, LRDIMM, and 3DS RDIMMs. Threadripper 7000 processors can handle up to 8 channels/2TB on PRO motherboards (based on 8x256GB DIMMs) and up to 4 channels/1TB on HEDT motherboards (based on 4x256GB DIMMs), with support for both single-rank and dual-rank at 5200Mhz and a single DIMM per channel. ECC is enabled, although its functioning varies depending on the motherboard. The maximum official transfer rate varies by DIMM configuration, like with other AMD Ryzen CPUs.

Other Components

The Windows 11 main storage device was a 1TB GIGABYTE AORUS NVMe Gen4 solid-state drive. AMD provided a 360 all-in-one water cooler; however, it did not completely cover the CPU surface. Instead, we used the Arctic Freezer 4U-M, an 8x6mm direct contact heatpipe tower cooler with 2x120mm fans in push/pull mode. This cooler is intended for the most powerful server and workstation CPUs with up to 96 cores and a thermal design power of up to 350W.

The be quiet! STRAIGHT POWER 11 Platinum 850W power supply powered the system. A 34″ Dell Gaming S3422DWG monitor — a Quad-HD 3440×1440 display with a 144Hz refresh rate, FreeSync, 10-bit colors, and HDR support — was also utilized.

Benchmarks

Blender Benchmark

Blender Benchmark version 4.0.0 was used to assess the AMD Ryzen Threadripper 7980X processor’s rendering performance. With a score of 1708.66, the processor’s performance ranked among the top 28% of benchmarks running the same workloads. Given the inclusion of GPU results, the CPU performed brilliantly.

In terms of GPU results, the AMD Radeon PRO W7700 ranked in the top 27% of benchmarks, with a slightly elevated score of 1883.80. This reflects how strong the processor is at GPU-level rendering, which is fantastic news for studios that rely on CPUs for production.

IndigoBench

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

With a total score of 47.54 million samples per second, the Threadripper 7980X ranks fourth among the top CPU performances when using normal settings and no overclocking. The processor also outperforms the Threadripper 3990X and Pro 5995WX by 30% and 33%, respectively, demonstrating a significant generational jump.

PCMark 10

PCMark 10 is a comprehensive benchmarking tool that covers the wide variety of tasks performed in the modern workplace. Web browsing, videoconferencing, spreadsheet and word processing, photo and video editing, and rendering and visualization are some of the tasks tested by the tool.

The 8,772 score the test platform achieved was better than 98% of all results produced by PCMark 10.

CINEBENCH

The 2024 edition of Cinebench now includes a GPU benchmark that takes advantage of Redshift, Cinema 4D’s default rendering engine. The Radeon PRO W7700 scored 9,504, nearly matching the Radeon Pro W6800, which scored 9,643 (according to the test database). This result demonstrates the level of sophistication of RDNA 3 computation, given the Radeon Pro W7700 has half the infinity cache and dedicated graphics RAM of the W6800.

Based on the 92,817 Cinebench R23 result, the AMD Ryzen Threadripper 7980X CPU is nearly three times faster than the Ryzen 9 7950X. This result demonstrates that the Threadripper is in a class of its own and is a much-needed high-performance solution.

3DMark CPU Profile

This test stresses the CPU at various levels of threading while reducing the GPU burden, ensuring that GPU performance is not a limiting factor. It takes advantage of sophisticated CPU instructions sets supported by different processors, including Advanced Vector Extensions 2 (AVX2). It also leverages the straightforward, highly efficient simulations provided by the SSSE3 code path.

With standard settings and no overclocking, the AMD Ryzen Threadripper 7980X CPU score of 25,374 qualifies for 3DMARK’s MAX Threads Hall of Fame. It ranks among the top 100 benchmark scores ever recorded, and holds 25th place among the world’s most skilled overclockers.

V-Ray 6 Benchmark

The V-Ray Benchmark, which uses the V-Ray 6 render engines, was used to gauge the system’s rendering speed.

With a vsamples score of 120,247, the AMD Ryzen Threadripper 7980X CPU is nearly twice as fast as the Threadripper Pro 599XWX and 3990X, representing a considerable generational leap.

SPECworkstation

The SPECworkstation 3.1 Benchmark fully assesses workstation performance across a variety of professional applications.

The AMD Ryzen Threadripper 7980X CPU scores are higher across all application groups, except for apps that rely more on the processor (such as financial services). This exception is due to the use of the Radeon PRO W7700, a midrange professional graphics card. Higher results across all application groups could be achieved with the use of the Radeon Pro W7800 or W7900.

Gaming

Since many professional gamers and streamers utilized HEDTs in the past to support multitasking — playing games, encoding and recording gameplay, and streaming to several web platforms — the Threadripper’s gaming performance was evaluated on this professional test platform. Professionals that enjoy playing games would undoubtedly prefer not to invest in another gaming PC after paying a premium for this test platform.

Shadow of the Tomb Raider ran at an average 61 frames per second (fps) at 1440p, with a minimum of 42fps. The highest graphical settings, as well as AMD’s FidelityFX CAS package, were enabled. Surprisingly, the use of XeSS for upscaling while running the game test boosted performance by 10% at the same settings, achieving a minimum of 50fps and an average of 66fps. This might be a demonstration of the RDNA3 architecture’s AI acceleration capabilities and the Radeon Pro W7700’s AI accelerators.

Far Cry 6 ran at an average 104fps at 1440p, registering a minimum of 92fps. All DirectX Raytracing (DXR) and FidelityFX Super Resolution (FSR) features were enabled during testing.

Cyberpunk 2077 ran at an average 36fps at 1440p, registering a minimum of 28fps. Ultra-ray tracing presets and FSR 2.1 features were automatically enabled.

The fact that the gaming results were 100% GPU bound indicates that the CPU was never a bottleneck and that employing top-tier gaming cards can improve gaming performance.

IDC Opinion and Conclusion

When AMD announced the Threadripper 5000 series in the Pro-only category, primarily for OEMs, the enthusiast community was left feeling let down. However, we are pleased that AMD did not abandon those customers for too long. AMD brought this category back to life after realizing — as its competitor had already done — that this is a prestigious and necessary niche market that cannot be satisfied by high-end consumer CPUs.

We are also pleased to see that the HEDT refreshment with the Ryzen 7000 platform supports the newest and greatest in networking and connectivity with excellent I/O support, including PCIe5 and DDR5 ECC registered memory modules (RDIMM/RDIMM-3DS), in addition to USB4 Type-C, 10 gigabit ethernet (10GbE), and Wi-Fi 7.

In the past, it was impossible to reach extremely high speeds while remaining stable and controlling voltage and temperature. However, this CPU is so quick, snappy, and opportunistic as it can surge up to 5.1 GHz when just a few cores are on demand, and 4.1 to 4.7 GHz when all cores are stressed, which is incredible.Furthermore, attaining rates of up to 6400MHz is another productivity breakthrough as it was previously difficult to overclock ECC RAM above the norm.

Aside from its intense performance, efficiency is the most striking aspect of the processor. Under full load, the Threadripper 7980X’s power consumption did not go over 340W. High-end consumer CPUs with fewer cores use the same amount of energy.

Although the Radeon Pro W7700’s power output stayed under 140W, we were not as satisfied with its clock speed, and thought there was potential for a higher frequency that was purposefully regulated. With our 850W platinum power supply, we had no trouble operating the system overall, and were even able to install it in a midi tower case.

We would love to see more partner solutions for cooling to fully cover the processor’s integrated heat spreader as well as motherboard support for extreme high-end use cases that require up to seven or eight graphics cards. The Threadripper 7000 series is more than capable of handling booming AI, machine learning, and training solutions — as well as media production and automotive rendering workloads — when needed on desktop platforms.

AMD should consider a SI certification scheme, similar to AMD Advantage in gaming. By doing so, it can provide customers with reliable and better experiences on an all-AMD platform that features the Threadripper and the Radeon PRO. This strategy will strengthen trust in the AMD brand and help SIs compete against OEMs with ISV-approved devices.

In conclusion, the AMD Ryzen Threadripper 7980X reigns supreme among HEDT CPUs. It delivers great performance straight out of the box, with most cores running at the highest clock speeds in a very energy efficient manner.

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.

From its inception, the telecommunications industry has leveraged automation to enhance services and user experiences. As AI takes center stage, IDC surveys have shown that the primary use case for telco AI will be the improvement of customer experience (CX).

Telco AI: What’s Already Been Done?

The advent of telco AI can be seen as early as the beginnings of mechanical telephone switching in the 1890s. The introduction of the mechanical switch revolutionized the way callers connected, leading to faster connections and effectively managing the exponentially increasing complexity of connections as landline phone penetration skyrocketed.

“That’s not AI — that’s just automation!” you may cry. But the impact on the workforce of manual switch operators was profound. And this shares some similarities to the transformative effect that generative AI (GenAI) applications are having on creative professionals today.

In recent history, the visible face of AI in telecoms is the ubiquitous digital customer service agent — the chatbot. Examples like Vodafone’s TOBi, launched in 2017, showcase the initial steps toward automated customer interactions.

These applications, however, often struggle when customers deviate from predetermined scripts. Beneath the surface, telecom networks rely heavily on AI and automation to optimize services, rout network traffic, monitor anomalies, and analyze customer interactions to recommend tailored product bundles.

What Telco AI Use Cases Will Be Big in 2024?

The successful launch of OpenAI’s ChatGPT in 2022 significantly elevated industry expectations for AI applications. Throughout 2023, experimentation accelerated, particularly in telecom CX, software coding support, and knowledge management.

In 2024, these use cases are set to expand into production environments, with continued exploration of how predictive and generative AI can support existing telecoms use cases.

Two key CX use cases are customer-facing chatbots that have enhanced natural language understanding, and AI customer sentiment analysis and personalization. By leveraging large language models (LLMs) and retrieval augmented generation (RAG) capabilities, chatbots will be able to answer customer questions like, “Why is my bill higher this month?” Such capability was extremely rare previously. Telcos like BT, DT, Orange, and Vodafone are examples of telcos exploring these capabilities.

Beyond CX, AI will bolster coder productivity with solutions like Microsoft Github Copilot and Amazon CodeWhisperer. Investment will go toward internal chatbots and knowledge management tools across departments, including sales, HR, legal, and network operations.

How AI Will Shape Telco CX by 2030

Looking to 2030, AI’s role in telecoms will become even more customer-centric. For example, energy efficiency solutions, currently focused on macro-networks, could be extended to customer devices, prolonging battery life.

Direct changes in customer interactions will manifest in advanced chatbots offering complete digital sales experiences. These chatbots will craft personalized packages based on customer preferences and budgets, eliminating the need for human intervention.

Moreover, this evolution in chatbots will align with the rise of metaverse environments that will incorporate visual representations of AI agents and use features like AI-driven body language to boost customer engagement in a 3D environment.

In summary, 2024 sees the telecoms industry again at the forefront of significant transformations, propelled by AI’s ability to automate tasks and deliver an elevated customer experience. At IDC, we will continue to cover the development of AI technologies and the telecoms industry in depth, with some of our most recent reports focusing on the telecoms GenAI value chain and the AI-driven evolution of telco CX platforms.

Chris Silberberg - Research Manager, Communication Service Provider Operations and Monetization - IDC

Chris Silberberg is Research Manager for IDC's global Communication Service Provider Operations and Monetization research. Chris' core research coverage includes the evolution of telco monetization, customer experience, orchestration, and assurance capabilities. Telcos are at a crossroads, double down as utility providers or become digital service power houses. Both strategies demand communication service providers fundamentally transform their IT capabilities to enable customer first experiences, autonomous operations, and the capacity to innovate monetization models at scale.

Many B2B marketers are wondering if they can focus on both customers and data at the same time. Can you be customer-focused and data-focused at once?

The quest to resonate with customers with B2B marketing content, while leveraging data-driven insights has become paramount. Content marketing services now prioritize building relationships with the audience and providing value over traditional sales tactics. This shift in focus aims at creating more meaningful connections with customers. By focusing on relationships and value, companies can better engage with their target audience and build trust. This approach ultimately leads to increased brand loyalty and customer retention.

Using analytics helps marketers better understand consumer behavior and adjust their B2B customer journey strategies accordingly. With all these new developments, can a company balance focusing on customers and using data for marketing effectively?

Let’s dive into the depths of these two methodologies and explore the potential for synergy:

Understanding Customer-Centric Marketing

Customer-centric marketing focuses on prioritizing the customer’s needs, preferences, and experiences in all marketing efforts. It’s important to understand the audience, empathize with their challenges, and create valuable solutions for their B2B customer journey. In B2B tech, trust and relationships are crucial due to complex solutions. Building trust and relationships is very important.

The Essence of Data-Centric Marketing

Data-centric marketing uses data analytics to understand consumer behavior, trends, and preferences for making informed decisions. By meticulously analyzing metrics, marketers can uncover patterns, identify opportunities, and optimize their strategies for maximum impact. From tracking website interactions to monitoring social media engagement, data serves as the compass guiding marketing efforts towards greater effectiveness and efficiency.

The Interplay Between the Two

While customer-centric and data-centric marketing may appear dichotomous, they are not mutually exclusive. In fact, they can complement each other synergistically to drive superior results. Here’s how:

Personalized Experiences: Data analytics enable marketers to segment their audience based on demographics, behaviors, and interests. By using this data, companies can create tailored content and experiences for different groups, enhancing their customer-focused strategy.

Iterative Optimization: Marketers can improve their strategies by analyzing data and feedback from customers. They can make adjustments to better meet customer preferences and market trends. This iterative process fosters a culture of continuous improvement, reinforcing the customer-centric ethos.

Predictive Analytics: Leveraging advanced analytics techniques such as predictive modeling, marketers can anticipate future trends and consumer needs with greater accuracy. By addressing these needs early, businesses can stay ahead and be seen as trusted advisors by their customers.

Measurement of Impact: Data-driven methods help marketers measure the success of their customer-focused efforts with specific metrics. These metrics give important information about how well strategies are working. They help marketers make necessary adjustments. The metrics include conversion rates and customer lifetime value.

Customer Data platforms will deliver high-quality data for predictive AI and GenAI, activating 80% of real-time personalized customer interactions at scale for G2000 firms with 4x engagement gains by 2026.

IDC FutureScape: Worldwide Future of Customer Experience 2024 Predictions. IDC #US50111423, Oct 2023

Challenges and Considerations

While the marriage of customer-centric and data-centric marketing holds immense promise, it is not without its challenges. Marketers must diligently navigate issues such as data privacy concerns, data silos, and the risk of algorithm bias. Balancing numbers and insights is important to keep the human touch in data-driven efficiency.

The convergence of customer-centric and data-centric approaches represents a powerful paradigm shift. Marketers can use data analytics to improve customer experiences and build strong relationships with their target audience, leading to business growth. Ultimately, it’s not a question of whether it’s possible to be a customer-centric and data-centric marketer simultaneously, but rather how effectively you can harness the synergies between these two paradigms to deliver exceptional value in an ever-evolving landscape.

How Will AI Elevate the Customer Experience in the Near Future?

In the near future, the integration of artificial intelligence (AI) promises to revolutionize the customer experience, offering unparalleled levels of personalization, responsiveness, and authenticity. Two key predictions from IDC shed light on the transformative potential of AI in shaping digital interactions and enhancing customer journeys:

  1. Real-Time Digital Experiences: AI algorithms will make digital experiences change in real-time based on user behavior, preferences, and context. Content and interactions will adjust dynamically to create personalized experiences. Whether it’s tailoring website interfaces, optimizing email campaigns, or refining product recommendations, AI-driven personalization will create seamless and engaging experiences that resonate deeply with customers.

Between 2024 and 2026, digital experiences will be updated in real-time based on measured analysis of content usage aligned to the customer journey.

IDC FutureScape: Worldwide Future of Customer Experience 2024 Predictions. IDC #US50111423, Oct 2023

2. Individualized Personalization: With AI, customer interactions transcend personalization to be individually tailored to the timing and context of each customer’s journey. By analyzing vast amounts of data, including past interactions, purchase history, and browsing patterns, AI algorithms can anticipate customer needs, deliver relevant content, and engage customers at the right moment with the right message.

Customer interactions will be individually personalized (e.g. subject line, send time, content, images, preferred channel) and have the timing and context of each customer’s journey, proving that the brand understands their needs in the context of now. These personalized interactions improve customer engagement across all types of content assets.

IDC FutureScape: Worldwide Future of Customer Experience 2024 Predictions. IDC #US50111423, Oct 2023

Data is King

At the heart of AI-driven customer experiences lies the importance of data. People are more aware of their personal data and rights. Marketers must use public and private data carefully. They need to create content that connects with customers. This should be done while respecting their privacy and preferences.

The Importance of Quality Content

In the era of AI, content remains a cornerstone of informed purchasing decisions, particularly in B2B tech marketing. But too much similar content just creates noise.

In 2026, the number of content creators who make money from content will top 800 million, up from 500 million in 2023.

Ten IDC Generative AI Predictions Influencing Persuasive Content Management and the Customer Experience. Jan 2024 – Document type: Tech Buyer Presentation – Doc  Document number:# US51801424

Quality over quantity is imperative. Focus on creating content that empowers buyers to research, compare, and evaluate solutions online, to drive confidence in their purchasing journey. However, in a landscape where trust and authenticity reign supreme, quality trumps quantity when it comes to content creation. AI can help spread content and engage customers, but it’s important to keep brand trust. Mistakes can quickly make customers lose confidence and loyalty.

AI and customer experience coming together means brands can now have more personalized, responsive, and authentic interactions with customers. By harnessing the power of AI-driven insights and data analytics, marketers can unlock new opportunities to deepen customer relationships, drive brand loyalty, and shape memorable experiences that resonate long after the initial interaction. As AI continues to evolve and integrate into marketing strategies, the imperative for marketers lies in leveraging data responsibly, prioritizing quality content, and fostering trust in an increasingly digital and dynamic landscape.

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The space economy has undergone a transformative evolution in the past two decades. The entry of private companies into the industry has created new avenues for business in Earth’s orbit and beyond.

This journey began with the milestone 2004 commercial spaceflight of Scaled Composites’ SpaceShipOne, funded by the Ansari XPrize, which showcased the viability of privately-funded space travel. The success laid the groundwork for pioneers like SpaceX, Blue Origin, and others to venture into commercial endeavors that span space exploration, satellite launches, crewed missions, and more.

Widely recognized examples — such as the GPS technology that shapes our navigation systems and the satellites that enable television broadcasting to our homes — show space’s impact on our daily lives.

We note the acceleration of the space economy and are taking this opportunity to delve into ICT opportunities arising from space tech and research. There’s still a vast reservoir of untapped business potential within the space economy.

McKinsey has projected the market to reach a value of $1T by 2030,  doubling its 2022 size.

This unprecedented growth is concentrated on four subdomains:

Earth Observation Technologies: Space-derived technologies have become integral to Earth observation. They facilitate precise weather forecasting, disaster management, and environmental monitoring, optimizing routes, tracking assets, monitoring infrastructure and managing supply chains. Satellites equipped with advanced ICT systems capture invaluable data, empowering diverse sectors.

In precision agriculture, satellite data is used to optimize crop yields by monitoring factors such as soil moisture levels and crop health. This data enables farmers to make informed decisions about irrigation, fertilization, and pest control, ultimately increasing productivity and reducing resource usage.

In disaster management, satellites provide real-time situational awareness during crises such as hurricanes, wildfires, and floods. By monitoring changes in weather patterns and surface conditions, authorities can effectively plan and coordinate emergency response efforts, minimizing damage and saving lives.

Companies like Maxar Technologies provide satellite imagery and analytics platforms that support industries in monitoring aspects of Earth. Airbus Defense and Space collaborates with Maxar Technologies to enhance global imaging capabilities through satellite projects. The World Bank utilizes Maxar’s expertise in satellite imagery for disaster risk management and infrastructure planning. Mining giants like Rio Tinto rely on Maxar’s solutions to optimize exploration and monitor environmental impacts.

Communication Satellites and Global Connectivity: Constellations of small satellites in low Earth orbit are transforming telecommunications. These satellites promise faster internet speeds and lower latency, disrupting traditional satellite systems and terrestrial ISPs alike.

The mesh network architecture of Starlink facilitates seamless communication between satellites and ground stations, ensuring high-speed internet access even in remote areas like the Amazon rainforest that lack technical infrastructure.

This innovative approach enhances connectivity for individuals and businesses and opens new opportunities for telecommunication providers, content providers, and ecommerce platforms to expand their outreach and services globally. Starlink’s impact spreads across industries.

For Carnival Cruise Line, Starlink facilitates crew connectivity with loved ones while enhancing guest experiences and operational functions on its world-class cruises. Brightline, a transportation company, credits Starlink for revolutionizing train connectivity, providing reliable connectivity for guests and invigorating excitement among train enthusiasts. In the education sector, Chilean school districts have experienced a significant upgrade in connectivity, with Starlink empowering teachers and students with robust and efficient high-speed internet.

Telemedicine from Space: The convergence of space technology and healthcare has sparked significant innovations in telemedicine, leveraging robotic telepresence systems for remote specialist consultations and surgeries.

Drawing inspiration from space mission requirements for remote task execution, these systems enable healthcare providers to deliver care to patients in remote or underserved areas, transcending geographical barriers. The integration of space-derived technologies into healthcare holds the potential to revolutionize patient care, address healthcare disparities, and optimize clinical outcomes.

Companies like Intuitive Surgical have been instrumental in advancing robotic surgical systems, as exemplified by the da Vinci Surgical System. This technology has significantly improved minimally invasive surgeries by enhancing precision and control.

Intuitive’s Single-Site technology, designed for specific procedures, aims to minimize scarring and enhance patient satisfaction. Intuitive’s robotic platforms utilize high-precision imaging and visualization technologies, including high-definition 3D vision and magnification capabilities. These contribute to improved surgical precision and better outcomes for patients.

Space Robotics and Automation: Specialized robots are being designed and developed for space exploration, satellite servicing, and tasks in harsh space environments. These robots handle assembly, maintenance, repair, and exploration missions, operated remotely from Earth or autonomously. Their crucial role in advancing space exploration makes them indispensable for future missions and scientific discoveries.

Honeybee Robotics leads the fusion of space robotics with terrestrial applications, revolutionizing industries spanning mining, energy, infrastructure inspection, and agriculture. Leveraging space-derived technologies, the company develops autonomous systems that enhance efficiency and safety across diverse sectors.

In mining, robotic drilling systems and sampling tools facilitate exploration and resource extraction in remote or hazardous environments, boosting productivity while minimizing operational risks. In agriculture, robotic systems streamline tasks such as soil sampling, crop monitoring, and harvesting, optimizing practices and bolstering yields.

Pacific Gas and Electric Company (PG&E) harnesses Honeybee Robotics’ robotic platforms to inspect and maintain critical infrastructure, including natural gas pipelines and electrical transmission lines. These solutions empower PG&E to conduct remote inspections, detect anomalies, and execute maintenance tasks with greater efficiency and safety.

Honeybee Robotics works with agricultural equipment manufacturers like John Deere to explore the integration of robotic technologies into farming equipment, providing farmers with innovative solutions for precision farming and crop management.

Life in Space: The Role of ICT

If we take some research applications and look into future business opportunities, shaping life in space is the way to go. During mission planning, technology tools assist in trajectory optimization, resource allocation, and risk management, ensuring efficient utilization of resources and the achievement of mission objectives in the unforgiving space environment.

From an operational perspective, tech enables real-time monitoring and control of spacecraft systems, as well as communication between ground control centers and astronauts aboard spacecraft.

Looking even further into the future, there is immense potential for ICT technologies to support extraterrestrial activities, such as mining on Mars or the Moon, where advanced robotics, AI, and data analytics will be essential for resource extraction and colonization.

As we wrap up this dive into ICT opportunities within the space economy, it’s evident we’ve only skimmed the surface. From telecommunications to healthcare, space tech is reshaping industries, offering countless business prospects.

The space economy not only fuels tech advancement and scientific collaboration but also equips businesses with cutting-edge solutions, tested in real-world conditions. By embracing space-derived tech like satellite imaging and remote sensing, industries boost efficiency, optimize resources, and make crucial decisions more effectively.

The convergence of space tech with various sectors highlights the need for a robust tech ecosystem and interconnectivity. This fusion drives demand for key ICT technologies, including data analytics, telecommunications, cloud computing, AI, and robotics.

Data analytics, powered by satellites, aids precision agriculture and disaster management. Telecom innovations, such as small satellite constellations, expand global connectivity. Cloud computing processes vast data sets from satellite imagery, fostering innovation. AI analyzes satellite data for resource optimization and urban planning. AI-driven robotics perform tasks autonomously, from infrastructure inspections to surgical procedures.

Industry collaboration, R&D investment, and further implementation of space tech applications will unlock new markets, drive innovation, and propel growth for the entire technology sector.

As we dive deeper into our space economy research, we want to hear success stories and lessons learned from early adopters. If you want to join the conversation, please contact me at.anguedes@idc.com.

Why? Because data shows that in many cases, a sizable portion of enterprises fall short of managing key types of cybersecurity risks. For example:

  • About half of enterprises surveyed for IDC’s Cybersecurity Capabilities Assessment Framework don’t systematically scan and monitor a majority of their remote endpoints.
  • Barely half of organizations have mobile device management (MDM) strategies in place.
  • Well over half of businesses either don’t generate Software Bills of Materials (SBOMs) to track supply chain security risks at all, or they rely on inconsistent, manual approaches to producing SBOMs.
  • Most organizations report that it takes them at least a week to discover security active threats.
  • Only a minority of organizations have automated compliance tools and processes in place that allow them to scan for and discover risks on a continuous basis.

I could go on, but you get the point: Being in good company on the cybersecurity front doesn’t mean you’re where you want to be. If you want to minimize your exposure to threats, you need to be among the minority of organizations that comprehensively and systematically manage security risks of all types, across all domains – not the majority who fall short in critical areas.

Why it’s hard to do better at cybersecurity

To be fair, it’s hard to blame the typical organization too much for lackluster performance on the cybersecurity front. Implementing a comprehensive cybersecurity program is much easier said than done – due especially to the fact that there’s so much to secure, and that requirements change so quickly.

Because of this complexity, simply deciding how to organize a cybersecurity program can be challenging, given the many different types of risks and threats to manage and the complex ways in which they overlap.

For example, since virtually everything today touches the network in some way, does network security require a distinct set of tools and processes, or do you need to bake network security into other aspects of your security operations? For another example, do mobile devices require their own security strategy? Or should you simply treat them as endpoints – because they are, after all, endpoints at the end of the day.

Struggles to answer questions like these help explain why businesses routinely fall short when it comes to cybersecurity – and why virtually every year over the past decade has set new records for the frequency and cost of attacks. When it’s unclear how to begin approaching cybersecurity and formulating a strategy that covers all key risk areas coherently and efficiently, you’re set up for failure.

A framework for cybersecurity improvement

At IDC, we think organizations can tackle this challenge by devising security strategies that cover seven distinct domains:

  • Network security
  • Endpoint security
  • Identity and digital trust
  • Data security
  • Application security
  • Response, recovery, and resilience
  • Governance, risk, and compliance (GRC)

To be sure, this taxonomy isn’t perfect. There is some overlap between these categories, and in some cases, it may not be clear where emerging technologies – like generative AI tools and services, which in some ways resemble applications but in other ways are all about data – fit in. But we believe it’s a useful foundation for identifying what enterprises need to secure, and how they should organize their security strategies.

From there, beating the curve when it comes to cybersecurity means implementing effective defenses in each of the seven domains identified above. Exactly how you do that, of course, depends in large part on factors like which types of IT assets you have to secure, which cybersecurity tools are available to you and how numerous and experienced your cybersecurity staff are. I can’t tell you exactly which cybersecurity practices are best for you.

But I can tell you – based on data like the information we compiled to substantiate the Cybersecurity Assessment Maturity Framework – what organizations that are optimized for security do differently from the average organization, and which cybersecurity practices can set your enterprise apart from the crowd in a good way.

Using that insight, you can make sure your business sits higher up in the tree, away from the low-hanging fruit that threat actors tend to target first.

To be sure, there’s no way to guarantee you’ll be safe from attack. Even if you’re in the one percent of most secure enterprises in the world, threat actors who really want to break into your IT estate can likely find a way to do so, given enough time and resources. But the reality is that most threat actors just want to breach some company, not your company in particular – so, by beating the average when it comes to protecting against cybersecurity risks, you dramatically reduce your risk of attack.

Learn more about the state of enterprise security – and how your business stacks up

Want more insights on exactly where the typical enterprise falls short on the cybersecurity front? And more actionable guidance on mitigating cybersecurity threats across the seven key cybersecurity domains laid out above?

Tune in for our upcoming webinar, “Cybersecurity Norms and Trends: How Does Your Business Stack Up?” on March 13th at 12Pm/ET, where IDC analysts will walk through data detailing the state of enterprise security and offer guidance on overcoming the roadblocks standing between average and best-in-class cybersecurity performance.

Christopher Tozzi - Adjunct Research Advisor - IDC

Christopher Tozzi, an adjunct research advisor for IDC, is senior lecturer in IT and Society at Rensselaer Polytechnic Institute. He is also the author of thousands of blog posts and articles for a variety of technology media sites, as well as a number of scholarly publications. Prior to pivoting to his current focus on researching and writing about technology, Christopher worked full-time as a tenured history professor and as an analyst for a San Francisco Bay area technology startup. He is also a longtime Linux geek, and he has held roles in Linux system administration. This unusual combination of "hard" technical skills with a focus on social and political matters helps Christopher think in unique ways about how technology impacts business and society.

On Sunday, February 25, we hosted our brunch event to kick off IDC’s Mobile World Congress (MWC) activities in Barcelona. Key executives and decision makers from leading companies in the telecoms and technology sectors attended.

We delivered presentations addressing key transformations underway in the telecoms sector. A panel discussion was held in which senior industry executives shared their perspectives on the future.

Key Overarching Challenges Across the Industry

The telecoms market is massive, with annual worldwide telco services spending of around $1.6 trillion, according to IDC’s Telecoms Services Tracker. The industry, which is showing growth after an anaemic period, makes up 27% of the overall ICT market and employs 4.5 million people globally.

The market is a critical component of the global economy, as well as a key element of public safety. This was underlined last week in the United States, when millions of people in several large states were unable to dial through to the 911 emergency system because of a telecoms issue.

Telco SPs annually invest over $330 billion to build their communication networks. These investments are made to meet several corporate strategies, including driving new network performance efficiencies and creating platforms for future revenue growth.

Given the size of these capex investments, it is important for telcos to monetize their investments and cut costs in order to compete as vigorously as possible. This has led to a wave of M&A activity across the world, especially in Europe, with massive multibillion deals involving Orange, Masmovil, Colt, Lumen, Vodafone, and others.

At the same time, we’re seeing the entry of new types of players, including satellite companies such as Starlink, making an already complex ecosystem even more so.

Value Propositions Beyond the Pipe

Understanding the multifaceted opportunities for monetization is key to thriving in the telecom industry. We identify three levels of connectivity monetization: 

  1. Network Infrastructure Enhancement: Leveraging technologies like network slicing and multi-access edge computing (MEC), and optimizing bandwidth and latency for diverse use cases
  2. Service Innovation: Offering tailored solutions such as fixed wireless access (FWA), private networks, and unified communications and collaboration (UC&C)
  3. Solution Development: Exploring avenues in automation, robotics, and the Internet of Things (IoT) for transformative business solutions

However, telecom features, services, and solutions must solve business issues to deliver material revenue gains. IDC’s 2023 Future of Connectedness Survey, conducted in June 2023, found that 42% of organizations prioritize enhanced access to critical business applications both on premises and in the cloud as their top metric for evaluating connectivity initiatives.

Following closely, 39% prioritize faster data throughput, while 36% emphasize increased levels of automation. This underscores the importance of aligning telecom offerings with the core objectives of businesses to drive meaningful value and performance.

We identify four essential strategies for elevating connectivity:

  1. Network APIs fuel successful revenue opportunities across all three levels.
  2. External partnerships are critical to integrating diverse technology sets into comprehensive solutions.
  3. Utilize differentiated, dynamic pricing models to increase adoption of connectivity-enabled solutions.
  4. Focus on business outcomes, not technologies, to court customer trust and validate meaningful ROI analysis.

Telcos Walking the Walk: Transform Internally to Lead Externally

In 2024, the transformation of telecom operators will encompass internal initiatives, such as cost optimization and the pursuit of new revenue streams through the integration of cloud data and intelligence. Externally, transformation responds to shifting customer expectations and the erosion of traditional core business models.

To navigate these changes effectively, operators are adapting to evolving partner ecosystems, leveraging synergy and agility to remain competitive in a dynamic marketplace.

The journey toward the telco cloud continues unabated. Almost three-quarters (73%) of respondents to IDC’s EMEA Telco Transformation Survey confirmed the deployment of BSS workloads in cloud environments. Similarly, 65% of respondents have already migrated OSS workloads to the cloud. Among the 150 sampled telcos, 37% have taken the significant step of transferring core workloads to cloud platforms.

The hypothesis of “telco wait-and-see” is now obsolete. We believe the success factors for telecom companies are:

  • Connectivity Diversity: Overhauling traditional business models to enable a broader range and higher volume of new services
  • Profitability: Boosting customer loyalty, generating new revenue streams, and enhancing operational efficiency
  • Automation: Adopting advanced technologies and refining processes for innovation and competitiveness

Telcos are gearing up for a transformative era of digital services and mobile applications through the deployment of open network APIs. Demonstrating a strong commitment to this evolution, telcos are actively engaged in the development of telco API standards, with 29 companies already enlisted in the GSMA’s Open Gateway initiative.

As these initiatives mature, attention naturally shifts toward monetization strategies, including the establishment of API marketplaces, and fostering engagement with a wider array of third-party developer communities.

More than half (53%) of our survey respondents indicated their primary focus for API investment lies in developing network APIs capable of being commercialized both internally and by third parties, thereby facilitating transformative changes within their business operations. An effective go-to-market strategy for exposing network APIs will hinge on factors such as segment type, specific use cases, and geographical reach. 

In conclusion, the telco industry stands at a pivotal juncture. It is undergoing a profound transformation that will shape its trajectory for the next 15–20 years. The convergence of culture, technology, internal operations, and customer experience underscores the hyper-complexity of the current landscape.

As we navigate these changes, it’s crucial to recognize that the stakes are high: There will be winners and losers, and the status quo is being redefined. Embracing a mindset of agility and experimentation is paramount.

Don’t hesitate to try and fail fast. Leverage every opportunity to learn collaboratively with your customers. Seek out strategic partnerships to enhance your chances of success in this dynamic environment.

Remember: In such complex scenarios, focus is key. Each player must define their priorities and steadfastly pursue them, recognizing that there’s no one-size-fits-all approach to thriving in the evolving telco ecosystem.

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.

With the rise of technology sovereignty, major economic regions are aggressively developing self-sufficient ICT industry supply chains with the semiconductor industry as a key focus area. To contain China’s development in semiconductors and technology, in addition to export control and enactment of the CHIPS Act, the United States has also joined forces with the Netherlands, Japan, etc. to restrict China’s acquisition of semiconductor equipment tools (e.g., EUV and DUV), materials, specialty chemicals, software (EDA and IP) capabilities.

Despite this restrictive environment, Chinese vendors continue to adapt, and IDC has observed these key trends that deserve special attention:

  • Mature Manufacturing Processes Development and Government Subsidy Policy Models Transformation

As China is unable to develop its advanced manufacturing processes because of export controls on equipment, mature processes have become its industrial development focus. In the past, to develop semiconductor autonomy, Chinese government subsidies were mostly on the expansion of wafer manufacturing capacity. However, due to the overall environmental impact and the inability to obtain more substantial orders, many plants have become idle, underutilized, and unable to produce sustainable benefits for industrial development. To remedy this, the current government subsidy model was changed. Now based on operating results, wafer factories must obtain orders first and have a certain degree of capacity utilization to obtain government subsidies. This shift has made Chinese wafer fabs more active in attracting customers through different strategies (e.g., low pricing, placing orders first and then returning part of the investment amount later, etc.). Compared with the previous subsidy model, this incentivizes local fabs and IC design companies to expand their business.

China’s wafer fabs are currently self-sufficient in 22/28nm and older process technologies (given the available equipment tools). In the future, through government policies and subsidies, coupled with the support of China’s huge domestic demand market, it is expected that China will have a mature process market in 2030 (≥ 22nm) and will reach nearly 40% share (30% in 2023). China’s influence on the global semiconductor production capacity will also increase as it puts pressure on International Device Manufacturers (IDMs) and foundries focusing on mature nodes.

  • Focus on Wide-Bandgap Semiconductors

Wide-bandgap semiconductors, such as silicon carbide and gallium nitride, have the characteristics of low power leakage, high power, high-temperature resistance, and high voltage resistance. They are especially suitable for high-voltage and high-current environments. Therefore, in the future, wide-bandgap semiconductors will play a key role in applications such as electric vehicles, high-frequency communications, 5G communications, and green energy. At present, Wide-bandgap semiconductors are mostly regarded as national security-level industries. These are also the projects regions are investing in, developing, protecting, and establishing policies to encourage investment and export controls.

Every region expects to maintain technological independence in wide-bandgap semiconductors. China has listed it as a development priority in its 14th Five-Year Plan and hopes to further develop the technology and use it rapidly in new energy vehicles, communication industries, etc. Under this initiative, related applications are the focus. In 2023, China’s capacity of silicon carbide (SiC) crystal growth continued to grow. In addition to joining hands with IDMs, China will also begin to enter the power components market. If the new production capacity is effectively produced in 2024, China SiC wafer’s market share will increase significantly, and its industrial influence cannot be ignored.

  • Actively Lay Out Chiplets

China is also using chiplets to connect chips with different functions and slow down the impact of the restricted development of high-end chips. China has established a chiplet alliance and produced their first chiplet technical standard. In the “Advanced Cost-driven Chiplet Interface(ACC 1.0)” drafted by China ChipLet League in 2023, more emphasis was also placed on optimizing China’s packaging and substrate supply chain through chiplets and expanding related packaging technologies. However, although China actively hopes to break through in this area, not all chips are suitable for chiplets. For example, chips used in consumer electronics, such as mobile phones and laptops, rarely require chiplet designs. In addition, chiplet design requires more IP and usually the use of advanced packaging technology which is costly and not China’s strength. It will take time to see whether chiplets can become a key driver of China’s semiconductor independence in the future.

Bigger Challenges Lie Ahead

In their efforts to further the development of their semiconductor industry, China has seen initial positive results in the mature processes and IC design fields. However, from a long-term development perspective, semiconductor equipment is still an important key. The market for semiconductor equipment and related components and materials is quite fragmented, and the certification process is complex and cyclical. This market is also currently highly concentrated in the United States, Netherlands, and Japan. Hence, it will remain a challenge for China to achieve full autonomy.

Currently, under the ban, China is no longer able to import high-end machines from ASML. How long the existing tools in the facilities supplied by ASML can maintain operation still needs to be evaluated. Although China actively supports local equipment manufacturers, and related manufacturers, such as Northern Huachuang, AMEC, and Shanghai Microelectronics (who are actively expanding their business), these manufacturers still lag by more than 5 generations compared to international first-tier tool manufacturers in terms of product accuracy and performance. Also, although China has invested in dry/wet etching, thin film deposition, and polishing and grinding equipment, there is still a gap in lithography tools. In the latest phase (the third phase) of China’s National Fund’s plan, related news mentioned that one of China’s areas of focus and development is in chip manufacturing equipment, highlighting the important correlation between semiconductor equipment and China’s semiconductor industry development.

China has actively maneuvered through the ban on semiconductor policies in the United States and other countries and has quickly adjusted its policies. However, as semiconductor equipment and related components are still heavily dependent on imports, it will not be easy to achieve full autonomy within five years. Relying on external advanced technology and equipment, we expect China’s semiconductor development will be a gradual process even with the strategy of upgrading technology and gradually increasing manufacturing experience.

On the other hand, China has gained the opportunity and motivation to develop mature processes despite the restrictions comprehensively. Their mature processes can still meet the requirements of current applications, including consumer electronics, automotive electronics, and industrial, among many other applications in the semiconductor market. Despite all these, China is still currently the second-largest semiconductor application market in the world. As their share of mature processes gradually expands in the future and related IC design capabilities gradually improve, China will still play a key role in the development of the global semiconductor industry.

Helen Chiang - Country Manager - IDC

Helen Chiang is the lead of Asia Semiconductor research and the general manager of IDC Taiwan. She is responsible for analysis, forecast, and research of semiconductor supply chain sectors such as IC design, OSAT, and Asia IC design, AI and automobile semiconductor. Since joining IDC in 2007, Helen conducted numerous research and consulting projects about semiconductor, cloud, AI, IoT, security, emerging technology and vertical market in Taiwan and across Asia Pacific region. She also provided professional market analysis and high-value consulting strategy to C-level managers. She not only leads the team to develop new market opportunities successfully, but also to provide customers with long-term growth capabilities.

A little over a year ago, a new phase of the digital business era began with OpenAI’s launch of ChatGPT. The generative AI (GenAI) boom is expected to roundly influence what comes next: AI Everywhere. AI is expected to become a driving force of our digital future, impacting individual lives, consumers, citizens, workers, businesses, and society.

Henry Ford said, “The only real mistake is the one from which we learn nothing.” What should we learn from the past to determine the way forward?

After the 2023 hype (see Reimagining an AI Everywhere Digital Future: IDC EMEA FutureScape 2024), 2024 is expected to be the year when AI becomes real for organizations. The focus is expected to remain predominantly on GenAI for many organizations through the first half.

When looking at the future, there are urgent actions EMEA organizations should take to accelerate their AI Everywhere readiness. And there are some useful lessons we can learn from the past.

According to IDC’s Future Enterprise Sentiment Survey, in 2022 just 9% of EMEA organizations considered their digital transformation (DX) projects to have been successful. This is a clear indicator of the multiple pitfalls that can plague a DX journey, including organizational silos, lack of ROI, unreasonable time frames for completing the initiative, lack of internal skills and change management, and gaps in infrastructure requirements.

Looking at the DX challenges of past years provides us with a clear indication regarding “things not to do/forget” when charting a successful AI Everywhere road map.

In October 2023, when we asked EMEA CIOs about their spending plans for 2024, 91% confirmed they expect to maintain or increase their budgets in 2024. That investment needs to drive a return.

If you don’t want to follow the organizations that saw digital projects fail in past years, what should (or shouldn’t) you do?

5 Lessons for your AI Business Strategy

  1. Don’t regard AI as an IT tool. It’s a business reimagination. AI should not be seen just as another tool, but as an opportunity to transform the business to become more efficient, deliver new value to customers, and innovate with products and services. Aligning technology and AI investments to business strategy and requirements is critical to achieving higher returns in the age of digital business.

The stakes are high — these decisions will determine the success or failure of businesses. From developing an overarching strategy and identifying the right business use cases, to deciding whether workloads will work best on premises, in the public cloud, or in a hybrid environment, there are numerous decision points. Dealing with the challenges of a potential proliferation of AI applications requires foresight and forward-looking leadership.

As mentioned by the CEO of a Global Professional Service organization, every leader in the organization should engage at least with the “what” of this technology, understanding what the real use cases and opportunities are. Initially, the budget for experimenting with the technology will come from the IT and data department, but business will increasing lead when progressing with the use case road map budget.

With so many decision makers, having a coordinated holistic approach is paramount. Whether through the creation of new roles (e.g., chief AI officer) or within the remit of existing ones, organizations need to manage AI initiatives through a defined organizational structure. There’s a need to have a structured and coordinated approach from the AI strategy to the use cases road map, all surrounded by strong governance to foster a responsible AI deployment.

  1. Don’t forget to measure. Quantify the digital business impact. In the past, we talked about the digital ROI gap — the gap between digital investments and the ability to generate results from them. The greater cautiousness driven by the volatile macroeconomic scenario, combined with tech pricing concerns, imposes a laser focus on ROI. It is imperative for organizations to define the business outcomes they want to achieve with AI, check them against the investments needed, and measure the progress toward their achievement to adjust the tech strategy procurement if needed.
  2. You won’t have three years to show results. Start small, think big. The use case prioritization exercise should factor in the quantification of business value, the cost and capabilities requested, and the risk of the initiative — as well as the time to outcomes. Make sure your use case portfolio is well balanced, with several smaller projects that have a shorter time to market and can better demonstrate business value, and few mid-sized ones that have a slightly longer timeline.

The CEO of a non-profit organization told us, “We have reengineered the technology road map to completely align to business requirements. What have we changed? We reprioritized projects so we are now working on fewer bigger projects and then a lot of small, more innovative projects that are creating value in the in the short term.” Particularly regarding GenAI initiatives focused on productivity, the CIO feedback is that these need to be proven within two to six months.

  1. You won’t go far without the basics. Prioritize building a secure, intelligent architecture and data foundation. If you are looking at AI as an opportunity to transform the business and not another tool to plug and play — which is the way you should approach the AI Everywhere transformation journey — you should not overlook the importance of the required foundations and the alignment with partners and the broader ecosystem.

A successful AI road map can only be realized through a solid, agile and intelligent technology backbone. This must comprise key technology enablers, foundational data and analytics, cloud for scale and agility, security technologies to ensure cyber protection and remediation, as well as regulatory compliance and smart risk mitigation.

A well-governed data system is critical to ensure data quality, trustworthiness, and actionability. According to IDC’s Digital Executive Sentiment Survey (September 2023), only 53% of EMEA organizations have integrated data sets and effectively manage them to deliver returns.

  1. Don’t underestimate the importance of change management. Humans should be at the center. As happened in the past 200 years, industrial revolutions have brought tech closer to humans, unlocking new opportunities. Similarly, we are now undergoing an industrial revolution powered by AI — and the human element should remain central to the process.

A main pitfall companies should avoid is not considering it a change management program. Developing the right culture and skills is critical. This applies to all organizational levels. According to European CEOs, the top skill to be successful in their role is AI proficiency. Engaging all stakeholders from the get-go is key for successful AI projects, as we have seen many digital initiatives fail because of organizational silos.

The CEO of a fintech company, for example, has championed the development of an AI certification program for the entire organization. The program has multiple levels and is mandatory for all employees. As a true change management program, the members of the leadership team actively drove change in the organization. They were the first to complete the certification program and developed guidelines and procedures for a responsible use of the tech.

Similarly, a member of the IDC CIO Advisory Board highlighted the employee journey as one of three critical pillars to be successful on the journey: Build transparency on upcoming tech needs and train the people to adopt and leverage future technologies.

Practical Steps to Move Forward on Your AI Journey

In a nutshell, here’s what you should do:

  • Bring the C-suite dream team together to develop an aligned strategy.
  • Create a road map for use cases.
  • Embed GenAI’s transition into a more comprehensive AI strategy.
  • Measure your AI-enabled business impact.
  • Decide on your next infrastructure approach: Build, buy, amend, or have it managed.
  • Plan for an agile yet secure digital platform with a strong data foundation.
  • Engage employees and build talent for new ways of working.
  • Build strategic and trusted partnerships and ecosystems for co-innovation.

As we have seen since the beginning of DX, IT teams and CIOs will play a central role in the AI Everywhere age. The increasing importance of the CIO role and the opportunities it brings in 2024 are unmistakable.

With the expected increase in IT investments, especially in the field of AI, CIOs face a unique opportunity to position themselves as a driving force behind the next level of transformation. However, it should be emphasized: These investments should not be made lightly.

The transition to the AI world requires careful planning, resource allocation, and implementation, and will likely impact the operating and organizational model. But as a medtech CIO put it, if you can learn from the past and embrace the future, “The future will be bright.”

Andrea Siviero - Senior Research Director, MacroTech, Digital Business, and Future of Work - IDC

Andrea Siviero leads IDC's European Digital Business and Future of Work Research group. The group provides market research insights to foster a purposeful and fair adoption of technologies supporting digital societies, businesses and workforce and empower tech providers in strategic decision making, planning and go-to-market activities. Siviero also co-leads the IDC Worldwide MacroTech Research program, focused on the intertwined connection between the Economical and Digital worlds - analyzing the impact key MacroEconomic factors have on the digital landscape and viceversa, how technologies are impacting economies around the world.

To maintain a competitive edge, customers in Latin America are embracing co-managed security solutions, consolidation projects, and cost-efficiency goals. These additional reasons for selecting Managed Detection and Response Services are becoming more and more important.

Are you wondering, what to focus on when it comes to security in the era of Gen AI?, if so, you might be interested in the top 3 reasons for selecting Latin America Managed Detection and Response (MDR) Services, Let’s read more about it.

Well, before thinking it’s better to be alone than in bad company, let’s consider some criteria that could help you to save budget and avoid tough questions from board members.

Have you thought about the top 3 reasons for your organization to select Managed Detection and Response (MDR) Services?

According to respondents, in our latest IDC Latin America: Managed Detection and Response (MDR) Survey, (who were qualified in three waves of rankings), the top 1 in each wave are as follows:

Figure 1
  • 1st: Brand Recognition, this could be interpreted as how well-known the company is in the security service provider market ecosystem, but resist the temptation and focus on their trust, reputation, transparency, and ethics.

” Breaches happen to everyone, and some may fall but remember, transparency builds trust”, Emanuel Figueroa.

  • 2nd: Functional superiority over other competitors, a service provider must be able to achieve the security outcomes desired by the organization, and this is directly related to the timing in the detection and response lifecycle, capabilities in terms of integration to existing ecosystems, and reporting power.

“If they are able to customize their operations to your environment or industry, that means superiority, not just talking about technology features”, Emanuel Figueroa.

  • 3rd: Adjacent capabilities that could be utilized, as security initiatives are always a clean canvas, you must take into consideration that a service provider who could offer advice on how particularly resolve your needs and a robust security offering could reduce the friction caused by areas like purchasing, change management, IT, internal auditing, and risk management and of course finance.

…. But what about cost-effectiveness?

Well, IDC has seen the CISO environment grow in importance to the business, but the more the C-suite gets involved, the more questions CISOs receive about budget efficiency, and the back-and-forth to save resources each year remains one of the biggest challenges.

1 in 3 organizations completely outsource their security tools, with the most challenging tools preferred.

In our recent Managed Detection and Response (MDR) survey, we found that organizations are not only systematically benchmarking direct pricing but also comparing feature sets and costs across vendors (see Figure 1).

IDC knows that all organizations are different – some prefer flexibility over predictability – but we recommend understanding the pricing model, scalability, and time to value before making a decision.

Finally, how do you achieve efficiency and transparency, and manage risk to a level that is acceptable to the board?

By efficiency, we mean increasing operational efficiencies; the faster you and your vendor can resolve issues, detect future incidents, and contain/stop them before they disrupt vital services, the more efficient security will be and the more cyber resilient you will become. 

“Security outcomes must meet your specific needs, remain relevant, and be actionable.”

Other efficiencies include reducing the amount of time your staff spends troubleshooting, reporting changes, or requesting adjustments; the more self-service you implement, the more you improve staff productivity and security analyst workload/alert fatigue.

Keep in mind that a large stack of on-premises and cloud assets may require the same level of protection, so automated responses will help your initiatives succeed, and in some cases will require flexibility from the MDR service provider to scale at your pace.

In terms of transparency, look for service providers that can inherit compliance but also can demonstrate privacy and data residency according to your needs, in terms of technical support, look for providers that can supply interfaces with other customers, especially within your industry peers and consortia; this will enhance your experience and help you understand how well they can integrate into your existing environment.

In terms of risk management, ask your service provider how their service is going to improve your security posture, is there any technology that will help you profile your current and future risk exposure, analytics, incident management and threat hunting alone are features,

Is there a risk management report that could add value to your risk management process? Do they present their findings in business terms?

Key takeaways

  • Assess your MDR needs and opportunities; requesting proof of value can help you address your use cases and determine criteria for appropriate evaluation.
  • Review the IDC Market Glances to understand the competitor’s landscape in the managed security services of Latin America.
  • If you are interested in understanding the vendors’ opinions, feel free to reach out, and do not hesitate to ask them who managed security service providers are better prepared or acknowledged.

Emanuel Figueroa - Senior Research Analyst, Identity and Access Management Security, Worldwide - IDC

Emanuel Figueroa serves as a Senior Research Analyst for IDC Identity and Access Management Security. His research scope encompasses a range of critical IT security, risk, and trust-related subjects, with particular emphasis in identity security. Emanuel’s research also emphasizes the effect of continuous change in the IT security market, as well as the trends and challenges currently facing security offices. These challenges include threats, security paradigms, and architectures that are transforming businesses. Prior to joining the global organization, he served as the Latin America Security Market Expert.

Saudi Arabia is making good on its ambition to become a global smart and sustainable tourist destination.

Not long ago, however, such an outcome seemed unlikely. When we traveled from Europe to the kingdom in 2015, for example, we were required to prepare piles of documents months in advance. We also had to make a trip to a Saudi visa application center, which existed in only a handful of European cities.

Getting through passport control at King Khaled International Airport meant standing in line for at least an hour. The quickest way to get to town was via a pre-booked car service, which invariably came in the form of a gas-guzzling SUV. After arrival in Riyadh, the entertainment options were slim.

But now, nine years later, the immigration process and airplane boarding can take literally a blink of an eye. This reflects the Saudi aviation industry’s investments in growth, customer experience, and operational excellence.

Commuting to Riyadh also comes in all shapes and forms of private transportation — and public transit is on the way. The city buzzes with museums, theaters, concerts, sport events, and Michelin star restaurants. It will host, along with partner cities across the country, the Asian Winter Games 2029, as well Formula 1, Formula E, the Dakar Rally, World Expo 2030, and the FIFA World Cup in 2034.

Obviously, these rapid changes did not occur accidentally. They are the fruits of an ambitious vision to enhance the country’s social fabric and lay the foundation for a diversified economy that leverages the full spectrum of its population’s talents and contributions. Saudi Arabia aspires to reduce its dependence on oil and ensure economic resilience by cultivating sectors such as tourism and entertainment.

Bold Vision — Sustainable Execution

The government’s Vision 2030 marks a pivotal chapter in the history of the kingdom, signaling a transformative shift towards the goals of openness, cultural evolution, and economic diversification. Travel, tourism, and entertainment are strategic priorities in this economic diversification and social reform road map.

The Digital Tourism Strategy aims to boost tourism’s contribution to GDP from 3% to 10% by 2030 and to increase the number of foreign visitors from around 60 million to 100 million annually by 2030. Investments are already paying off.

Since the opening of its doors in 2019 to international tourists, the kingdom has become the fastest growing tourism destination in the G20.

But the ambition extends beyond growth of the tourism industry. Giga projects like Neom, Diriyah, and Red Sea — backed by the $600 billion Public Investment Fund (PIF) — are being developed not only to increase capacity to host new residents, visitors, and global events, but also to reimagine the quality of life and the cultural, heritage, leisure experiences, environmental sustainability, and innovation expectations of next-generation tourists.

Saudi Arabia seeks to explore “the art of the possible” in terms of eco-friendly tourism, architectural design, and green technologies. The kingdom seeks to align these developments with the United Nations’ Sustainable Development Goals. The aim is to pioneer a responsible tourism model that safeguards the country’s rich natural and cultural heritage while fostering economic prosperity and improving Saudi quality of life.

By 2030, the kingdom plans to reduce by 50% the carbon emissions generated by the tourism industry. In parallel, it is creating wildlife sanctuaries and developing sustainable tourism initiatives that protect endangered species and the natural landscape. Planned developments at the Red Sea project are an example of authorities’ regenerative environmental approach.

Saudi Arabia largely imports its food from abroad and is running out of water. To address this, Neom plans to become food self-sufficient and source water from carbon-free desalination plants. Some resorts are exploring the concepts of biomimicry and developing nature-based architectural designs.

To accelerate the execution of such an ambitious vision, Saudi public institutions and private investors are working closely with local and global technology companies to empower them to reimagine the visitor experience and operational excellence in a sustainable manner.

Sustainable Tourism: Powered by Tech Innovation

The Saudi Tourism Authority’s (STA) traveler-centric approach and ambition to develop personalized experiences for visitors is a major differentiator from other destinations. Visitors who share their interests and preferences, for example, can receive customized recommendations during their stay in the kingdom. For world sports events like Formula E, guests can enjoy immersive experiences.

Digital technology is also powering Saudi Arabia’s long-standing tradition of hosting the annual religious pilgrimages of Hajj and Umrah, with a range of apps offered to enhance the safety and experience of millions of pilgrims from around the globe.

Plans also call for the building and operation of digital-by-design entertainment facilities that leverage digital twins and metaverse-centric solutions. These require partnering with technology companies that can deliver next-generation digital infrastructure, platforms, and user experience capabilities that align with the kingdom’s sustainable tourism and entertainment agenda.

To execute these ambitious visions, local and global technology vendors need to partner with the senior leaders driving the giga projects, as well as with national authorities like the STA and the Authority for Data and AI (SDAIA), which serves as a strategic decision maker for Saudi aspirations to leverage AI to enhance smart tourism destinations. Technology vendors and advisors can also help the kingdom leverage international best practices, such as the UNWTO framework, and to set the baseline and measure progress against sustainable tourism targets.

From personalized travel experiences to efficient resource management and environmentally and socially responsible engineering and construction supply chains, Saudi Arabia is being watched by global leaders who are also reimagining and developing new standards for sustainable tourist destinations.

Tech innovation will be critical to execute such an ambitious vision while confronting a demographic boom and limited natural resources — all while keeping a human touch that allows tourists as well as citizens to enjoy the fruits of these developments.