As I frequently discuss with clients, the role of a business relationship manager (BRM) is both essential and elusive. BRMs bridge IT and business functions, ensuring that technology aligns with and propels business objectives. Despite the importance of this role, many organizations struggle to fully leverage their BRMs. They can find the role challenging to define, measure, and elevate beyond a tactical level. BRMs often face the challenge of being too accessible, getting pulled into tactical issues simply because they are available.

Recently, a client shared that some of her BRMs were handling help desk tickets because there was no one else to support the teams. This highlighted a broader challenge: BRMs can become bogged down in day-to-day tasks, preventing them from taking on a more strategic, consultative role.

This misalignment prevents BRMs from guiding the business in identifying, designing, and deploying technology solutions that could create competitive advantages. How can companies grow their existing BRMs into strategic partners, identify those who may struggle with this evolution, and demonstrate the value of BRMs in a measurable way? One approach I recommend is an annual strategic client partnership plan, which can transform the role of BRMs and provide a framework for ongoing alignment with business objectives.

The Strategic Client Partnership Planner

The strategic client partnership planner offers a road map for BRMs to elevate their roles, helping them engage in high-level strategic planning while remaining responsive to business needs throughout the year. This planning process is structured around six key areas:

1. Partner Goals and Objectives

The first step in building an effective BRM partnership is establishing clear, measurable business goals that the IT strategy will support. By aligning IT efforts with business objectives, BRMs can define how they will contribute to broader organizational success.

For example:

  • Partner goal 1: Increase market share by 15%
  • Partner goal 2: Enhance operational efficiency to reduce costs by 10%
  • Partner goal 3: Improve customer satisfaction by 20% by Q4 202x

These goals provide a foundation for understanding the business’ strategic priorities and help the BRM identify where technology can make a meaningful impact.

2. Current State Analysis of IT

Understanding the current state of IT and its alignment with partner goals is essential for identifying areas for improvement. BRMs should assess how well the organization’s IT capabilities support specific business objectives.

For example:

  • Partner goal: Increase market share
  • IT support: Scalable XYZ function but limited scalability in ABC function, which may hinder rapid market expansion

This analysis helps BRMs and their business partners pinpoint areas where IT may be falling short and highlight opportunities for targeted improvements that align with business priorities.

3. Defining the Approach

Once the goals and current state are understood, BRMs should translate partner goals into concrete IT initiatives. Each goal should be mapped to a specific IT initiative that will support it, along with the relevant technologies required.

For example:

  • Partner goal: Enhance customer experience
  • IT initiative: Develop a digital customer feedback platform to monitor satisfaction in real time
  • Technology solutions: Cloud-based analytics, customer relationship management (CRM) software

This mapping allows BRMs to move from high-level strategy to actionable initiatives, demonstrating how IT investments directly contribute to achieving business outcomes.

4. Gap Analysis

The gap analysis identifies the areas where IT capabilities need to evolve to meet future business requirements. Gaps can include missing skills, outdated technology, ineffective processes, or insufficient governance structures.

For example:

  • Gap 1: Lack of integration between CRM and ERP systems, impacting customer insights
  • Gap 2: Outdated data management systems that limit scalability

Prioritizing these gaps helps ensure that IT efforts focus on areas that will have the greatest impact on achieving business goals, enabling BRMs to advocate for targeted investments and improvements.

5. Key Initiatives

This section identifies and outlines the major IT initiatives that will drive partner goals forward. Each initiative should have an expected timeline and key milestones, allowing the BRM to monitor progress and report on success.

For instance:

  • Initiative 1: Cloud migration to improve scalability
    • Expected timeline: Q1 2025 to Q4 2025
    • Key milestones: Cloud provider selection by Q1 2025, migration completed by Q4 2025
  • Initiative 2: Digital transformation of customer experience
    • Expected timeline: Q2 2025 to Q1 2026
    • Key milestones: Launch of customer feedback app by Q3 2025

Defining these initiatives with timelines and milestones enables BRMs to track progress, making it easier to communicate the value of their work to business partners.

6. Communication Plan

A strong communication plan is essential for maintaining alignment between IT and business stakeholders. By establishing regular communication touchpoints, BRMs can keep partners informed of progress, address any emerging concerns, and adapt initiatives as needed.

For example:

  • Audience: Executive team, IT staff, partner unit leaders
  • Communication frequency: Quarterly updates
  • Communication channels: Email reports, executive presentations

Annual, Yet Agile

The strategic client partnership planner is an annual process but not a static one. BRMs should monitor the business or competitive landscape for changes that could require adjustments to the plan. By staying engaged throughout the year, BRMs can address shifts, ensuring that IT initiatives remain aligned with business needs and continue to provide value.

The role of a BRM is inherently dynamic, bridging the gap between IT and business objectives in a way that creates measurable value. By leveraging a structured planning process, BRMs can elevate their roles, demonstrating their strategic value to their partners while avoiding the common pitfalls of being pulled into tactical tasks.


Related Resources:

Daniel Saroff - GVP, Consulting and Research Services - IDC

Daniel Saroff is Group Vice President of Consulting and Research at IDC, where he is a senior practitioner in the end-user consulting practice. This practice provides support to boards, business leaders, and technology executives in their efforts to architect, benchmark, and optimize their organization's information technology. IDC's end-user consulting practice utilizes our extensive international IT data library, robust research base, and tailored consulting solutions to deliver unique business value through IT acceleration, performance management, cost optimization, and contextualized benchmarking capabilities.

In September 2024, in California, landmark AI legislation was passed. Among other, this included law AB 2013, which requires that developers provide publicly available information on their websites about training data. On the other hand, Governor Newsom vetoed SB 1047 or the “AI Safety Bill,” which was said to apply overly “stringent standards to even the most basic functions.”  

The case of California is just the latest example of how AI-related regulations are taking precedence across the world, from the EU AI Act to the Ministry of AI in Dubai. It also is part of a broader international debate on AI’s impact, and the question of how to balance innovation with ethics. However, it’s not just AI regulations that are making a splash – governments and international organizations are setting standards that span multiple facets of the digital landscape, from privacy protection to fostering a resilient digital economy. But with so many digital regulations across the world, how can companies know which ones are important – especially companies that span multiple jurisdictions? And how should companies deal with these in light of the many elections in 2024 that are already shaping the future? 

IDC’s Worldwide Digital Regulation Radar solves this problem (IDC #US523524224). It categorizes digital regulation into four main areas: environmental, data and AI, privacy and security, and digital economy enablement regulations. 

IDC’s Worldwide Digital Regulations and Policies Radar 

Note: this is not an exhaustive list

In the next sections, we’ll take a look at exactly what these categories mean. 

Data and AI Regulations 

The rapid adoption of artificial intelligence and big data analytics presents complex regulatory challenges. Ensuring that these technologies are used ethically, safely, and transparently is crucial for maintaining public trust and innovation. As examined in AI Regulations and Policies Around the World, 2023, (US#51356423), AI regulations can be currently mapped out loosely on a spectrum. They range from jurisdictions with no regulation to strict regulation, and jurisdictions that legislate AI as a single technology to those that legislate it according to multiple issues/technologies that are addressed as they arise. In Navigating the Fragmented U.S. AI and GenAI Regulatory Landscape, we also outlined some general approaches to the types of laws being implemented in the US. These include: 

1. Safe AI: Regulations to ensure the safe development and deployment of AI. 

2. Profiling and discrimination: Regulations designed to prevent AI from exacerbating existing biases or creating new forms of discrimination, as well as limiting profiling of consumers. 

3. Consumer warning and transparency: Requiring AI developers and companies to specifically warn the consumer of the US of AI or the use of their data. 

4. General registration and documentation: Regulation requiring documentation of data, safety measures, registration of AI deployments, etc. 

Overall, policymakers are pushing for regulations that hold AI developers accountable for potential biases, errors, and impacts on employment. Governments worldwide are also exploring stricter regulations for data privacy and security, which are closely linked to AI regulations. For example, in India, the Digital Personal Data Protection Act came into effect in September 2023 and has sections directly implicating AI training data sets on top of protecting personal data. 

For more information on individual laws, see our Worldwide Regulation Radar and AI Regulations Around the World reports. 

Privacy and Security Regulations 

As aforementioned, digital privacy and security regulations are some of the most established forms of digital regulation and are strongly linked to AI. They reflect growing public concern over personal data protection, cybersecurity, and the right to privacy in the digital age. These acts are increasingly common around the world. This includes general data protection laws such as the EU’s GDPR and the California Consumer Privacy Act (CCPA). These regulations emphasize user consent, transparency, and individual rights over data ownership. 

 Many countries have also introduced cybersecurity regulations to safeguard national infrastructure, corporate networks, and personal data from cyber threats. The U.S.’s Cybersecurity Information Sharing Act (CISA) and China’s Cybersecurity Law are examples of national laws that mandate certain security practices for digital infrastructure. 

ESG Regulations and Policies  

As digital technology expands, so does its carbon footprint. Data centers, AI computation needs, and electronic waste contribute significantly to environmental impact, requiring digital regulations that promote sustainability and environmental responsibility. The EU is leading in sustainability disclosures with the Corporate Sustainability Reporting Directive (CSRD) and Sustainable Finance Disclosure Regulation (SFDR). We therefore see many countries around the world following this, for example with stock exchange disclosures and reporting mandates. Governments are also creating legislation to support better energy policy, management of waste, and more.  

Digital Economy Enablement 

Digital economy enablement regulations focus on promoting technological infrastructure, innovation, and competitiveness in the digital space. These include incentives, subsidies, and policies that support the growth and sustainability of the digital economy. For a more comprehensive list of incentives, take a look at The Digital States – Part 1, 2024: What Government-Supported Investment Opportunities Exist for the Technology Market? (US#51025223). Some key types of digital incentives include: 

  1. 5G and Network Infrastructure Promotion: 5G technology is critical for advancing connectivity and enabling new digital services. Countries such as South Korea, the U.S., and China have enacted policies to accelerate 5G rollout through spectrum allocation, subsidies, and grants for telecommunications providers. 
  1. Semiconductor and Tech Manufacturing Subsidies: In response to global supply chain disruptions, countries are investing in domestic semiconductor manufacturing. The U.S. CHIPS Act, for instance, provides subsidies and incentives to reduce reliance on foreign-made chips and bolster domestic tech production. 
  1. Digital Startups and Innovation Funds: Governments often support the digital economy by fostering startup ecosystems and innovation hubs. For example, India’s Digital India Initiative provides funding, tax breaks, and incubator programs to encourage digital innovation and entrepreneurship. 
  1. International Trade Agreements for Digital Products: Many trade agreements, such as the Digital Economy Partnership Agreement (DEPA) between Chile, New Zealand, and Singapore, facilitate cross-border data flow, digital services, and e-commerce, making it easier for digital companies to operate internationally. This will be covered in-depth in Digital Economy Strategies’ upcoming report on digital trade agreements. 

The Future of Digital Regulation  

As digital technology’s influence on society continues to grow, governments are increasingly adopting a balanced approach that fosters both growth and responsibility. While regulations around privacy, security, and environmental impact address pressing ethical concerns, enablement policies incentivize the adoption and expansion of emerging technologies. Additionally, regulation is subject to change, of course, especially with 2024 being the “year of elections.” For a closer look at EU-level regulation, the EMEA Digital Regulations and Policies Radar (#EUR152325424) gives a glimpse at the most important EU digital legislation. Furthermore, the US election, which occurred on November 5th, will have major repercussions for tech companies. Three key areas it will impact include digital AI regulation, data privacy and cybersecurity, and tech innovation and trade policy. For a deeper dive on how the US election impacts these policies, sign up for the upcoming State of the Market webinar on November 13, 2024. Additionally, follow IDC’s Digital Economy Strategies CIS to get the latest updates on how digital regulation is impacting the business landscape. 

Elisabeth Clemmons - Research Analyst - IDC

Elisabeth Clemmons is a Research Analyst for IDC's Worldwide Small and Medium Business Markets program, where she covers the technology priorities, needs, challenges, and goals of small and medium businesses across the globe. Leveraging primary and secondary SMB research, she provides insights into technology trends and developments, buying patterns, market segmentation, and more. She additionally serves as an analyst for the Digital Economy Strategies research theme, covering the interrelationship between geopolitics, macroeconomics and the technology industry.

As a growing tech vendor, gaining traction in a competitive marketplace can be a daunting challenge. While creating in-house content is crucial for brand visibility, there’s another powerful tool that can significantly enhance your credibility and market positioning: third-party content. Independent, expert-driven insights like analyst briefs, whitepapers, and industry reports offer an unbiased, authoritative perspective that customers trust, helping you stand out from the competition.

In this blog, we’ll explore three reasons why third-party content matters for growing tech vendors and provide actionable tips on how best to use it to drive growth.

1. Builds Trust and Credibility

One of the biggest hurdles for emerging tech vendors is building trust with customers and investors. No matter how strong your product or service is, buyers are often skeptical of vendor-authored content because they understand it ultimately serves your interests. This is where third-party content, such as analyst briefs or independent whitepapers, becomes invaluable.

Independent analysts and research firms like IDC have earned reputations for providing impartial, data-backed insights. By leveraging content from these sources, you align your brand with trusted voices, lending credibility to your solutions and establishing a stronger position in the market. Customers are more likely to trust your offering when it’s supported by an unbiased, expert perspective.

How to Use It:

  • Reference third-party reports and data points in your blog posts, case studies, and sales presentations to add weight to your claims.
  • Use analyst-backed insights to create a more compelling narrative in your marketing campaigns, positioning your product within the broader market context.
  • Promote whitepapers or reports on your website as gated content to attract leads, showcasing your company’s alignment with industry trends.

Example:
When launching a new product, reference findings from a relevant IDC report that validates your solution’s importance within your niche. Incorporating trusted data helps position your offering as a solution to real market needs, easing the buyer’s decision-making process.

2. Enhances Your Go-to-Market Strategy

In a fast-paced tech landscape, staying ahead of emerging trends is essential for creating a strong go-to-market strategy. Third-party content provides valuable insights into market dynamics, competitive landscapes, and customer behavior, helping you make informed decisions. Analyst reports and industry studies can reveal growth opportunities, identify potential challenges, and offer strategic recommendations that align with where the market is heading.

By leveraging these insights, you can fine-tune your go-to-market approach, ensuring your product or service is positioned to meet current and future demand. Whether you’re entering a new market, launching a new feature, or refining your sales approach, third-party content gives you the context and data needed to make informed, strategic moves.

How to Use It:

  • Integrate analyst predictions into your product development roadmap, ensuring your offerings are aligned with future market trends.
  • Use insights from industry reports to identify growth opportunities or untapped customer segments.
  • Incorporate findings into pitch decks or investor presentations, highlighting how your company is staying ahead of the curve.

Example:
A growing SaaS company can leverage IDC market reports to refine its product roadmap, ensuring that features being developed align with customer needs and anticipated market shifts. By using these reports to guide product development, the company stays competitive and relevant as customer demands evolve.

3. Differentiates You from Competitors

In crowded tech markets, differentiation is key to standing out. While every vendor can create content promoting their product, third-party content provides an extra layer of differentiation. It offers an independent, trusted perspective that helps validate your position and sets you apart from competitors who may only rely on self-promotion. By backing your claims with third-party reports and analysis, you strengthen your value proposition and present a more balanced, credible view of your solution.

Moreover, independent content can highlight your unique strengths or competitive advantages in a way that resonates with buyers. For instance, an analyst report that highlights emerging trends can help position your product as a cutting-edge solution, differentiating you from competitors who aren’t addressing the same needs.

How to Use It:

  • Use third-party comparisons or reviews from analyst firms to demonstrate how your solution outperforms competitors.
  • Reference independent content in product launches or feature announcements to highlight why your offering stands out in the marketplace.
  • Share third-party reports that showcase your company’s alignment with market trends, positioning yourself as an industry leader.

Example:
When launching a product update, include a relevant IDC report that shows why your solution addresses the latest market trends. Use this to highlight your forward-thinking approach and differentiate your product from competitors who aren’t keeping pace with these changes.

How to Maximize the Value of Third-Party Content

To get the most out of third-party content, it’s important to use it strategically across multiple channels. Here are some best practices to ensure you’re maximizing its impact:

  • Repurpose Content Across Platforms: Turn a single analyst report into multiple pieces of content, such as blog posts, infographics, and social media snippets. Repurposing allows you to reach different audience segments while making the most of your content investment.
  • Use It in Lead Generation Campaigns: Third-party content is often seen as more trustworthy, making it highly effective for lead generation. Offer whitepapers or reports as gated content, attracting high-quality leads who are seeking unbiased, expert insights.
  • Incorporate It into Sales Conversations: Equip your sales team with third-party reports and whitepapers to help them build trust with potential clients. These materials can strengthen your sales pitch by providing a neutral perspective that validates your solution.
  • Cite It in Thought Leadership: Align your brand with independent, trusted voices by referencing third-party content in webinars, blog posts, and thought leadership articles. This not only enhances your credibility but also helps position your company as an informed industry player.

Conclusion

For early-stage to mid-market tech vendors, building credibility and driving growth relies on increasing market awareness, generating leads, and capturing investor attention. Third-party content, such as analyst reports and whitepapers, is a powerful tool to help you achieve these goals. By partnering with a respected analyst firm, you gain independent validation that enhances your brand’s visibility and builds trust across the tech ecosystem.

Leveraging third-party insights helps you understand your competitive landscape, target key audiences, and refine your go-to-market strategies. Whether you’re focused on product differentiation, customer engagement, or growth acceleration, independent content provides the expertise and authority to back your claims.

For over 60 years, IDC has helped startups and growing tech vendors navigate the complexities of the market, building third-party validation that drives recognition and growth. Ready to take the next step?

Contact us today to learn how IDC can help you build momentum and accelerate your success.

It’s more important than ever for IT and business teams to be on the same page. Yet, many organizations struggle with a communication gap between these two groups. Why is this such a common issue? And how can dashboards be the bridge to solve it? Let’s break it down.

The Communication Gap Between IT and Business

1. Misaligned Objectives – One of the biggest reasons IT and business teams struggle to communicate is that they often have very different goals. IT tends to focus on metrics like system uptime, network performance, and cybersecurity. Meanwhile, the business side is more interested in things like revenue growth, customer satisfaction, and market share. With both teams speaking different “languages,” it’s no surprise that they often end up talking past each other, leading to misaligned priorities.

2. Too Much Jargon – Let’s be honest: IT can be a jargon-heavy world. Terms like “network latency” or “data redundancy” are second nature to IT professionals but can sound like gibberish to someone on the business side. Business leaders need information that directly ties into business outcomes—not a lesson in technical terminology. When served this jargon ridden reporting, it reinforce the business perception of IT as a back office function disconnected from a leadership role in the organization.

3. Too Long; Didn’t Read (TLDR) – I recently reviewed a client dashboard where the CIO had 10 minutes to report in the monthly management review meeting IT. It was ten, very detailed, slides. Realistically, there wasn’t sufficient time in 10 minutes to cover even 2-3 slides, and the key business concern – are we on progress to deliver to the business strategy was never addressed succinctly. That answer had to be read from multiple different slides.

4. Why Should I Care – IT reports are often dense with technical data but lack business context. A report on server downtime, for instance, may not explain how that downtime is affecting customer experience or revenue. Without that essential context, it’s hard for business leaders to grasp the true impact of what’s going on in IT, which leads to less informed decision-making. I recently saw a client report which reported on “94% deflection” – a business user would not understand what that meant or even care!

The Role of Effective Dashboards

So, what’s the fix? One key solution lies in effective dashboards that can translate complex IT data into business-relevant insights. When done right, dashboards can serve as a powerful tool to bridge the communication gap.

How Dashboards Help

Bridging the Gap: Dashboards translate technical metrics into business insights. Instead of presenting a laundry list of technical KPIs, dashboards present data in a way that aligns with business goals—making it easier for business leaders to understand how IT performance affects them.

Key Features of an Effective Dashboard

  • Clarity and Simplicity: A dashboard should be clean and easy to understand. Focus on the most critical metrics and strip away unnecessary data clutter. Less is more when it comes to business-facing dashboards.

In my previous example with the 10-slide presentation, I asked the team a straightforward question about the four strategic initiatives: are they on schedule or behind? The response was that three were on track, and one was delayed. However, I only found this out by asking directly—there was no clear indicator, like a simple green, amber, or red flag, to make this status immediately visible. This was the base-level information that the business wanted to know at a glance.

  • Contextual Information: Data is useful, but not sufficient. People need to understand why the data matters. How does what is being reported impact them?
  • Visual Appeal: “People eat with their eyes, not just their mouths,” means it’s got to look good too. Charts, graphs, and colors can make complex data easier. A well-designed dashboard helps non-technical users understand key information.
  • Know Your Audience: A dashboard should be tailored to the specific needs of its audience. Different stakeholders—executives, department heads, or IT managers—need differing levels of detail and focus. For example, a high-level executive might want a quick overview of strategic KPIs, while a department manager may need more granular data on operational performance. Understanding who will be using the dashboard helps ensure it presents the right information in the right format.

Often, I see IT departments presenting what THEY feel is important at the expense of what their audience actually cares about.

  • Understand What Outcome You Are Trying to Get: A dashboard is not just a tool for presenting data—it’s a form of marketing from which IT hopes to achieve a beneficial outcome. Whether the goal is to gain executive buy-in, influence decisions, or highlight the value IT brings to the business, the dashboard should be designed with this in mind. It’s about showcasing IT’s impact in a way that drives action, whether that means securing more resources, aligning priorities, or improving collaboration. By understanding what outcome you’re trying to achieve, you can ensure the dashboard tells the right story and promotes the desired business result.

Any opportunity to communicate with the business is an opportunity to reinforce that IT is a strategic business partner and not simply bits and bytes.

Types of Dashboards

1. Strategic Dashboards: Designed for executives, these dashboards present high-level metrics that are directly tied to business objectives priorities, and strategies, but don’t forget to call out successes.

2. Tactical Dashboards: These are meant for middle managers who are overseeing specific projects or departments. They offer a more detailed look at operations but still focus on IT performance or OKRs.

3. Operational Dashboards: Used by IT teams, operational dashboards monitor day-to-day technical metrics like system health and security. While these dashboards are more technical, they can be connected to business goals when integrated into the larger dashboard framework.

Conclusion

IT and business alignment is critical for an organization’s success, yet it’s an area where many organizations fail. By addressing the root causes of the communication gap—complexity, jargon, lack of context, TLDR, etc.—and implementing dashboards that speak directly to business needs, organizations can turn IT from being perceived as wire-pullers or propeller heads into a partner.

In short, if IT is going to speak to the business effectively, the conversation needs to change—and dashboards are a powerful way to make that happen.


Related Resources:

Daniel Saroff - GVP, Consulting and Research Services - IDC

Daniel Saroff is Group Vice President of Consulting and Research at IDC, where he is a senior practitioner in the end-user consulting practice. This practice provides support to boards, business leaders, and technology executives in their efforts to architect, benchmark, and optimize their organization's information technology. IDC's end-user consulting practice utilizes our extensive international IT data library, robust research base, and tailored consulting solutions to deliver unique business value through IT acceleration, performance management, cost optimization, and contextualized benchmarking capabilities.

Cloud computing has been heralded as the panacea for modern IT challenges, promising scalability, flexibility, and cost savings. However, as the cloud landscape matures, many organizations are finding that the reality of cloud adoption does not always align with their expectations. This has led to a growing trend of repatriating workloads back to on-premises or private cloud environments. In this article, we will explore the reasons behind these missed expectations and why some businesses are choosing to bring their cloud workloads back home.

The Promise vs. Reality of Cloud Computing

Cost Overruns

One of the primary drivers for cloud adoption has been the promise of cost savings. However, many organizations are finding that their cloud spending is exceeding initial estimates. According to IDC’s Cloud Pulse 4Q 2023 survey, close to half of cloud buyers spent more on cloud than they expected in 2023, with 59% anticipating similar overruns in 2024. The complexities of cloud environments, coupled with unforeseen external influences, make it challenging to forecast costs accurately. Factors such as the increasing cost of third-party services, energy costs, and the financial implications of new technologies like GenAI are contributing to these budget blowouts.

Performance and Latency Issues

While cloud providers offer robust infrastructure, not all workloads are suited for the cloud. Performance and latency issues are common complaints, particularly for applications that require real-time processing or have stringent performance requirements. For instance, technical and AI-related workloads often experience performance bottlenecks in public cloud environments, prompting organizations to consider repatriation.

Security and Compliance Concerns

Data security and regulatory compliance are critical considerations for any organization. Despite the advanced security measures offered by cloud providers, many businesses remain concerned about data breaches and compliance with industry regulations. This is particularly true for sectors like finance and healthcare, where data privacy is paramount. As a result, production data and backup/disaster recovery processes are among the most repatriated elements of workloads.

Complexity in Management

Managing a multi-cloud or hybrid cloud environment can be incredibly complex. Organizations often struggle with integrating different cloud services, managing data across multiple platforms, and ensuring consistent security policies. This complexity can negate the perceived benefits of cloud adoption, leading some businesses to reconsider their cloud strategies.

The Repatriation Trend

What is Repatriation?

Repatriation refers to the process of moving workloads from public cloud environments back to on-premises or private cloud infrastructure. This trend is part of a broader industry movement towards hybrid multi-cloud IT strategies, where organizations seek to optimize their workload placement across various environments.

Drivers for Repatriation

Several factors drive the decision to repatriate workloads:

  1. Cost Management: As mentioned earlier, unexpected cost overruns in the cloud can make on-premises solutions more attractive. By repatriating workloads, organizations can gain better control over their IT spending.
  2. Performance Optimization: For workloads that require high performance and low latency, on-premises infrastructure can offer superior performance compared to public cloud environments.
  3. Security and Compliance: Repatriating sensitive data and critical applications can help organizations meet stringent security and compliance requirements more effectively.
  4. Operational Control: Having workloads on-premises allows for greater control over IT operations, enabling organizations to tailor their infrastructure to specific needs and optimize resource utilization.

The Scale of Repatriation

While repatriation is a growing trend, it is not a wholesale migration. According to IDC’s Server and Storage Workloads Survey, only 8-9% of companies plan full workload repatriation. Instead, most organizations repatriate specific elements of their workloads, such as production data, backup processes, and compute resources.

Larger Organizations Leading the Way

Larger organizations are more active in repatriating workloads compared to smaller businesses. This is due to their greater resources, larger workloads, and more complex IT environments. Economic factors and comprehensive workload strategies also play a role in driving repatriation activities among large enterprises.

Conclusion

The initial promise of cloud computing has not been fully realized for many organizations, leading to missed expectations and a growing trend of workload repatriation. Cost overruns, performance issues, security concerns, and management complexities are some of the key factors driving this shift. While the cloud remains a vital component of modern IT strategies, businesses are increasingly adopting a hybrid approach, optimizing their workload placement across public cloud, private cloud, and on-premises environments.

As the cloud landscape continues to evolve, organizations must carefully assess their cloud strategies, balancing the benefits of cloud adoption with the realities of their specific needs and challenges. By doing so, they can make informed decisions about where to best deploy their workloads, ensuring they achieve the desired outcomes without compromising on cost, performance, or security.


References:

Daniel Saroff - GVP, Consulting and Research Services - IDC

Daniel Saroff is Group Vice President of Consulting and Research at IDC, where he is a senior practitioner in the end-user consulting practice. This practice provides support to boards, business leaders, and technology executives in their efforts to architect, benchmark, and optimize their organization's information technology. IDC's end-user consulting practice utilizes our extensive international IT data library, robust research base, and tailored consulting solutions to deliver unique business value through IT acceleration, performance management, cost optimization, and contextualized benchmarking capabilities.

As part of our Smart Cities research, we have been documenting the expanding role of architecture, engineering, and construction (AEC) firms, commercial real estate (CRE) companies, and developers as key orchestrators of these initiatives.

The Ellinikon project in Greece provides a compelling example of this burgeoning ecosystem. The Ellinikon is set to become Europe’s largest urban redevelopment initiative, transforming the Athens’ former international airport into a green Smart City district on the Athens Riviera.

The project is not spearheaded by the municipal government but by Lamda Development. Although the government has provided coordination for this megaproject, it has not provided any financial backing.

Covering over six million square meters, the multibillion-euro project aims to set new global standards for Smart Cities.

We sat down with Manthos Papamatthaiou, Lamda Development’s business development director for Smart City and ICT, Dimos Panagiotis, business development senior manager, and Paraskevi Panagopoulou, business development associate, to learn more about the project and the organization’s Smart City expertise.

[The responses below are some of the highlights of the interview. The full interview is available here for subscribers to Worldwide Smart Sustainable Cities, States, and Spaces: AI, Cloud, and Edge Strategies.]

What is your vision for The Ellinikon project?

Our overarching goal, as outlined in The Smart Ellinikon Vision, is to create “a state of-the-art smart district that pioneers the future of home, work, and entertainment; utilizing technology to deliver sustainability and serve the people of tomorrow.” We are following an integrated approach where solutions merge seamlessly into daily life without causing disruption. These solutions are designed to be outcome-focused rather than technology-driven, ensuring that each bit of technology either adds value and enhances the experience of residents, tourists, and employees or serves our sustainability and environmental protection targets. As part of this initiative, we have already completed the technology master plan and are entering the build phase of digital infrastructure and smart use cases across various domains such as smart infrastructure, mobility, energy, and waste management.

At the heart of our project lies sustainability, guided by The Ellinikon Sustainable Development Strategy and Lamda Development’s ESG goals and commitments. This approach aligns with the expectations of future residents and visitors as well as EU regulations.

Which cities are you looking to for examples of best practice?

We’ve thoroughly studied all major Smart City initiatives worldwide, focusing on both the success stories and lessons learned. The 15-minute city idea from Paris, for instance, significantly influenced the masterplan developed by Foster + Partners. The location suits perfectly the “city within a city” concept, with the mountains behind, the sea in front, and excellent connectivity to downtown Athens. One takeaway from other Smart City projects is the importance of having the right internal skills to ensure seamless operations.

How did you build the business case and determine the ROI of integrating smart technologies into the urban redevelopment project?

To establish the business case, we cooperated with international consultants like Deloitte and AFRY and conducted a feasibility study to define the sizing, costing, and benefit of each solution. We leveraged a large pool of relevant data from comparable projects to shape a solid set of assumptions. The feasibility study successfully quantified both the direct and indirect benefits of building a Smart City. The indirect value was reflected as a tangible premium in the real estate value prices, attributed to the appeal of having a residence or a business located within a smart district. This value of living in one of the leading smart districts in Europe ends up with a very interesting figure that significantly supported our decision-making processes.

When did Lamda Development establish its Smart City team?

The department was established over three years ago, at the urban planning phase and prior to any construction works. We started by defining the principles and vision for Smart Ellinikon, and then moved on to the identification of opportunities. What began as just a high-level concept has now evolved into an ambitious, approved, large-scale project. We are currently refining the design and initiating the implementation of the city’s “digital layer.” Given the breadth of available solutions and the potential for value creation, it’s clear that investing in dedicated Smart City teams early on is a wise move for all large-scale developers.

 

The Ellinkion’s Smart City team is ambitious. The project represents both a major advance in urban planning and a testing ground for the latest innovations in Smart City technologies. By incorporating digital technologies across every layer of the development — from energy management and transportation to waste management — the initiative aims to set new global standards for Smart Cities.

As demonstrated by Lamda Development, the role of developers, AEC firms, and CRE companies is shifting within the urban innovation ecosystem. IDC has found that 40% of AEC and 50% of CRE companies have established dedicated technology and innovation departments — numbers that are set to increase significantly over the next two years. These organizations are also increasingly partnering with technology companies in arrangements such as preferred partners in support of urban innovation initiatives.

As exemplified by Papamatthaiou and his team, building in-house Smart City expertise is becoming more common among developers. These organizations should be seen as key players in the Smart City ecosystem.

We expect these companies to have a noticeably large presence at this November’s Barcelona Smart City Expo, which we will attend.

 

Read the full interview here

Further reading: IDC Government Insights: Worldwide Smart Sustainable Cities, States and Spaces: AI, Cloud and Edge Strategies

Louisa Barker - Senior Research Manager, IDC Government Insights, Europe - IDC

Louisa Barker is a senior research manager in the European IDC Government Insights team, leading research on smart, sustainable, and resilient cities and communities. She has international experience providing analysis, policy advice, and consultancy to the public sector on disaster risk management, urban building and planning regulation, and smart cities. Previous roles have included Urban Resilience Consultant at the World Bank, focused on projects in the Caribbean and East Africa, and as a researcher at technology and innovation accelerators such as the Future Cities Catapult and the University College London City Leadership Laboratory. She is also a Specialist Advisor to the International Building Quality Centre.

AI is the latest focus of the corporate world’s pursuit of innovation. Executives are understandably eager to harness AI’s potential for efficiency, cost-cutting, and a competitive edge. But here’s a radical notion: Perhaps we shouldn’t approach AI projects with the haste of a start-up chasing its first unicorn valuation.

The “move fast and break things” ethos, once Silicon Valley’s battle cry, is about as appropriate for AI implementation as using a sledgehammer for neurosurgery. You might make an impact, but the collateral damage could be catastrophic.

Let’s be clear: AI isn’t just another IT project you can cobble together with clever coding and optimistic projections. It’s a sophisticated, data-dependent set of technologies that demands respect, thorough preparation, and patience. However, while meticulous preparation is essential, it should not paralyze organizations from embarking on their AI journey. Finding a balance is key.

The Data Foundation: Quality Over Quantity

Imagine your company has invested heavily in AI technology, assembled a crack team of data scientists, and your board is salivating for results. There’s just one snag — your data is a mess. It’s like building a Formula One car and fueling it with crude oil.

AI’s effectiveness is directly proportional to the quality of data used in its implementation If your company’s information is fragmented across incompatible systems, riddled with errors, and as organized as a toddler’s playroom, your AI project is doomed from the start.

Building a robust data foundation isn’t glamorous. It doesn’t generate exciting headlines or impressive slides. But it’s the bedrock of successful AI initiatives. This means time and resources must be dedicated to data cleaning, integration, and governance. It means creating a unified, reliable data source for your AI. This preparatory work may delay your AI launch, but it ultimately delivers value across your entire organization.

Still, organizations shouldn’t wait indefinitely before launching AI initiatives. Many successful companies have begun with targeted use cases while simultaneously improving their data quality. This dual approach allows them to learn and adapt as they go.

Knowledge: The Critical Superpower

Ask yourself: Does your organization truly understand AI? We’re not talking about buzzword-laden superficiality. I mean a deep, nuanced comprehension of AI’s capabilities, limitations, and pitfalls. Without this understanding, you’re navigating treacherous waters blindfolded.

Building AI literacy isn’t just about sending your tech team to conferences; it involves fostering company-wide understanding. Educate everyone from the C-suite to frontline staff on AI’s real-world applications and limitations. Tackle ethical implications head-on and establish robust governance.

It also involves ensuring compliance with regulations such as Article 4 of the EU’s AI Act. This article states that providers and deployers of AI systems shall take measures to ensure a sufficient level of AI literacy of their staff. This highlights the importance of tailoring education to the technical knowledge and experience of staff involved in operating these systems.

This educational journey takes time and resources, but it shouldn’t deter organizations from initiating AI projects. A phased approach enables companies to build knowledge while actively engaging in practical applications of AI.

Preparing Your Workforce: Beyond Technical Skills

Here’s where many companies falter: They focus solely on technical AI skills, neglecting the broader organizational and cultural shifts necessary for successful AI adoption.

Effective AI integration requires more than just data scientists and machine learning engineers. It demands a workforce that can collaborate with AI systems, interpret their outputs, and make informed decisions based on AI-generated insights.

This means cultivating a range of “AI-adjacent” skills:

  1. Critical Thinking: Employees must be able to question AI outputs and understand their limitations.
  2. Data Literacy: A basic understanding of data analysis and statistics is crucial across roles.
  3. Ethical Reasoning: Staff need to recognize and address potential biases or ethical issues in AI systems.
  4. Adaptability: As AI reshapes job roles, employees must be willing to evolve and learn continuously.

Truly strategic AI implementation may require organizational restructuring. Traditional hierarchies may need to flatten, allowing for more rapid decision-making based on AI insights. Cross-functional teams become essential, breaking down silos between IT, data science, and business units.

Cultural shifts are equally critical. Foster a culture of experimentation and learning from failure — this is essential when working with evolving technologies. Encourage transparency about AI’s capabilities and limitations to build trust. Address fears of job displacement directly, emphasizing AI as a tool to augment human capabilities, not replace them.

Importantly, these changes can’t be afterthoughts; they should be integral to your AI strategy from day one. Involve HR, change management specialists, and department heads in planning.

In a World of Tortoises and Hares, Be a…

Imagine two companies: The hare races to implement AI everywhere without proper preparation. The tortoise methodically builds its data foundation, educates its workforce, and carefully plans its strategy.

Initially, the hare makes headlines with rapid implementations. However, over time it grapples with inconsistent results due to poor foundational work. Meanwhile, the tortoise rolls out its first meticulously planned project after thorough preparation.

Fast forward a few years. The hare has scaled back its ambitions due to high-profile failures. But the tortoise enjoys consistent improvements in efficiency driven by well-implemented solutions.

What if neither the tortoise nor the hare resonates with your organization?

Enter the bat — a creature that thrives in darkness and is adept at navigating complex environments using echolocation.

Just as bats use their acute senses to adapt quickly and effectively to their surroundings, organizations should embrace a flexible approach to AI implementation. This means being agile enough to pivot based on real-time feedback while ensuring a solid foundation is in place. Bats can fly swiftly when needed — but they also take time to explore and understand their environment.

The moral? In AI, being Batman, aka Bruce Wayne, is often the winning strategy.

The Virtue of Thoughtful Progress

In a business world obsessed with speed, advocating for patience might seem naïve. But with AI, it’s essential for long-term success.

Effective AI implementation often isn’t about being first. It’s about building the strongest foundation while understanding technology deeply and integrating it effectively into business processes and culture. It’s about creating sustainable solutions that deliver real value — not just flashy demos.

To companies feeling pressured to jump into AI: Resist the urge to rush blindly forward or become paralyzed by over-preparation. Focus on getting your data right while simultaneously exploring use cases that allow you to learn iteratively. Plan carefully; execute methodically; prepare for a marathon, not a sprint.

The winners in this race won’t be those who move fastest but those who skillfully navigate between thoughtful preparation and timely execution.

Ewa Zborowska - Research Director, AI, Europe - IDC

Ewa Zborowska is an experienced technology professional with 25 years of expertise in the European IT industry. Since 2003, she has been a member of the IDC team, based in Warsaw, researching IT services markets. In 2018, she joined the European team with a specific emphasis on cloud and AI. Ewa is currently the lead analyst for IDC’s European Artificial Intelligence Innovations and Strategies CIS.

As many casual tech observers might have recently seen, Samsung released a new device type at their latest Unpacked event (July 10th): the “Samsung Galaxy Ring”. This signals a shift in the Smart Ring space.

The Smart Ring space is currently dominated by Smart Ring producing specialists like Oura and Ultrahuman but now the larger brands are beginning to compete by incorporating rings into their existing ecosystems of devices. It also potentially marks the shift from Smart Rings being a small segment of the wearables technology landscape to becoming a main stay in the space.

In the last full year of data, 2023, IDC recorded Global Ring sales of 880,000 units, with Oura representing 80% and Ultrahuman in second with 12%. We are forecasting this to rise to 1.7 million in 2024 and 3.2 million in 2028, equating to a year-over-year growth rate of 29.5%. For comparison, the total global Smartwatch sales in 2023 were roughly 161 million devices, forecasted to rise to 175 million by 2028, an average year-over-year growth rate of 1.7%.

This reflects the greater maturity of the Smartwatch market and the lengthening replacement cycles of Smartwatches as the upgrades become more iterative. So, for now, Smart Rings will be a small but fast-growing part of the wearable device market. Get access to the latest performance data for the wearables market—including Smart Rings and Smartwatches—with IDC’s Wearables Devices Tracker. You can learn more about the product with this resource or see the data in action and explore more sample insights here.

The early reception of the new Galaxy Ring appears to be one of moderate interest, with consumers seemingly liking the new form factor the ring offers. The ring form does have a distinct advantage of being more sleek and less obtrusive than Smartwatches, which is especially significant when sleep tracking. Many Smartwatch wearers dislike wearing a watch to bed but would think nothing of keeping their rings on. There is also a subset of consumers, especially those with smaller wrists, that dislike wearing bulky Smartwatches like those offered by Apple and Samsung. Some brands, such as Garmin, do offer female specific slimmer designs with the Lily range of watches, but the ring format might be another option. We also have a significant section of the population who prefer the premium Analog watches, like your Rolex or Omegas.

From conversations in the industry, it is clear that many of the large players within the wearable devices space are watching Samsung Ring sales with interest, and are exploring the possibility of producing their own Smart Rings. So should the Galaxy Ring prove to be a success we will likely see many other players jumping into the market, like we saw with the release of the first Apple Smartwatches .

The Substitution Problem

Unfortunately for the Wearables market as a whole, Smart Rings look set to compete directly with Smartwatches as many of the features they offer are directly comparable. Take the Galaxy Ring, for example, offering sleep tracking, heart rate monitoring, activity tracking and wellness monitoring. These are all things offered by their Galaxy line of watches, and whilst Samsung has discussed their watches and Ring working together saying “Wearing the Galaxy Ring with a Galaxy watch, … will maximize its shared health features while also extending the Ring’s battery life”. From a consumer’s point of view, given the release price of the Samsung ring was $400 and a medium spec Galaxy watch can set you back the same amount; it leads us to question just how many consumers will have $800 burning a hole in their pockets, and a desire to get two devices that do essentially the same thing. Though the Galaxy Ring is priced comparably to its biggest competitor, Oura’s Ring 4, which has a base model price of $349, but requires a monthly $5.99 subscription.  Samsung, as of now, hasn’t made any announcements of subscriptions being needed.

So, it appears inevitable that in the medium to long run Smart Rings will eat into the Smartwatch share of the wearables market. The extent to which they do so is yet to be determined, and there will undoubtedly be people out there who wouldn’t have bought a Smartwatch but will buy a Smart Ring.

Conclusions

Smart Rings are a device type that has the potential to flourish in the next few years; the extent to which it does will be determined by the number of big players that launch their own rings and if the largely positive reception continues. But as Smart Rings flourish, we will likely see that these wearable makers are, to some extent, taking market share from themselves. As their own Smart Ring sales rise their Smartwatch sales will likely fall. That all being said, bring on the Smart Ring revolution.

Frederick Stanbrell - Data & Analytics Analyst - IDC

Frederick Stanbrell joined IDC in 2022, as an associate research analyst based in London, leading the European Wearables tracker. As head of the European Wearables tracker he collates guidance, tracks market trends and provides insight and forecasts into the region, companies and individual countries. Before joining IDC, he studied an undergraduate degree in Economics from the University of Greenwich, obtaining a first. During this time he was also a prominent member of the University of Greenwich Cricket team.

Enterprise applications are the foundation of modern business operations. In 2023, the market expanded by 12%, reflecting its continued importance. 

We can attribute this market growth to the following drivers: 

  • AI and Generative AI: The integration of AI and generative AI (GenAI) is transforming enterprise applications. From predictive analytics in CRM systems to personalized recommendations in ecommerce platforms, these technologies are making applications more intelligent and insightful. 
  • Cloud Dominance: Cloud technology is the present and the future of enterprise applications. Its ability to support technologies such as AI, machine learning, and the Internet of Things ensures that businesses can continue to evolve and adapt to internal and external needs and requirements. 
  • Ongoing Investments in Digital Transformation: Continuous digital transformation efforts are driving the adoption of enterprise applications, with organizations modernizing outdated systems and implementing innovative solutions across all business functions.

The Imperative of Enterprise Application Modernization 

With more legacy systems reaching the end of their lifecycle — if only from a support perspective — and older platforms faltering under demand for increased agility, flexibility, and resilience, the modernization of enterprise applications has swiftly ascended organizations’ priority lists. In EMEA, application modernization has become a central focus, with an impressive 96% of surveyed organizations planning to undertake this essential transformation.

Challenges in Modernization

Each organization possesses a distinct approach to application modernization; no singular path forward exists. The complexities involved in modernizing applications across an enterprise demand a variety of tailored strategies — and this will likely remain the case.

Specific routes to modernization differ significantly by market, sector, and organization, with varied strategies emerging to address the diverse needs of different departments and their respective applications.

The Role of Cloud

While these strategies may differ, cloud technology stands out as the unifying force, having rapidly established itself as the preferred framework for both new and existing enterprise applications. Organizations are exploring multiple routes to modernization, with nearly half of those surveyed in EMEA expressing a desire to lift and shift their existing applications to the cloud.

Moreover, 43% aim to migrate to new cloud-based versions of their current applications, while 42% are eager to embrace entirely new cloud solutions.

Cloud: The Catalyst for Enterprise Transformation

Cloud technology is increasingly the foundation of organizations’ efforts to modernize their business applications. It empowers enterprises to swiftly adapt to shifting business needs, deploy updates seamlessly, and leverage cutting-edge technologies such as AI/GenAI, advanced analytics, and next-gen security.

Growth of Cloud-Based Applications

Cloud computing has massively fueled the growth of enterprise applications throughout EMEA. According to IDC’s May 2024 release of its software and public cloud services forecast, the enterprise apps market will continue to expand hugely — from $27.2 billion in 2019 to an estimated $63.7 billion in 2028 — reflecting a significant shift from on-premises to cloud-based applications.

The proportion of enterprise applications in public cloud surged from 36% in 2019 to an astonishing 68% in 2023, reflecting a marked acceleration in the growth of public cloud usage throughout the region. By migrating to cloud, companies can enhance performance, bolster security, and ensure superior disaster recovery. Cloud’s role as a crucial component of modern IT strategies has solidified.

Factors Driving Cloud Adoption

Additionally, the rise of remote work — especially during the pandemic — alongside regulatory compliance needs and the integration of emerging technologies, has further catalyzed cloud adoption. With the ongoing establishment of local cloud datacenters and numerous partnerships formed by enterprise application providers, we predict that cloud-based enterprise applications will continue to expand, reaching nearly 77% of all enterprise applications in 2028. 

Regional Insights: EMEA Market Dynamics

From a subregional perspective, Western Europe commands a dominant position in the region, holding EMEA market share of 88%. This dominance can be attributed to the strong presence of companies like Visma and DATEV, which primarily focus on financial applications, payroll management, and HCM within Western European markets. Global giants such as SAP, Oracle, and Sage also maintain significant footholds in this subregion. 

In contrast, each of the Central & Eastern Europe (CEE) and the Middle East & Africa (MEA) subregions accounts for EMEA enterprise applications market share of 6%.

However, CEE has recorded a decline in spending due to several challenging macroeconomic factors.

The protracted Russia-Ukraine War, which began in February 2022, has introduced notable economic instability in the subregion. High inflation rates have diminished the spending power of businesses, while stringent monetary policies have adversely impacted software investments, resulting in a significant decline in 2022 and sluggish recovery in 2023.

On the flip side, MEA has experienced substantial growth over the past four or five years, largely driven by the emergence of cloud and cloud-based services in 2018 and 2019. This growth has been bolstered by considerable investments from cloud providers.

Organizations and large family-owned enterprises in MEA, previously reliant on monolithic legacy applications, have begun adopting SaaS solutions for non-critical workloads such as HCM, procurement, and asset management. They have thus far been successful in their overall application modernization efforts, with a growing number of businesses re-architecting, re-platforming, and re-engineering their in-house legacy systems.

Navigating the Complexity of Cloud Migration

As organizations consider their enterprise application investments and modernization opportunities and the advantages of cloud migration, they are exploring the most effective implementation paths for their new cloud-based applications. In the past, heavily customized implementations were the preferred route, as organizations sought to tailor their applications to better suit their operations.

However, a noticeable shift is occurring as organizations increasingly embrace a more standardized implementation approach.

Approximately 31% of respondents plan to rely solely on standard functions and configurations for their new cloud-based applications, while 42% are contemplating only essential modifications — typically, those focused on sector-specific functionality — to maintain otherwise predominantly standardized implementations.

The Benefits of Standardization

The preference for standardized approaches is motivated by clear and tangible benefits. For instance, as new security patches are released, organizations with more standardized implementations can rapidly update their systems without necessitating further testing. This capability ensures the most robust protections are in place as quickly as possible, without requiring additional investments in IT, security, or implementation capabilities. 

Accessing New Features Quickly

Access to new features is another crucial factor. As the pace of change accelerates, organizations are eager to leverage new functionalities — such as GenAI and sustainability tools — immediately upon their release.

Typically, these enhancements are first introduced in cloud-based SaaS versions, with vendors maintaining slower update cadences for on-premises editions. Consequently, a more standardized implementation offers the quickest and most straightforward access to these emerging features and functionalities.

This inclination for less customized implementations ensures that organizations stay current with vendor innovations — ultimately, helping them maximize the benefits of their enterprise application modernization investments. 

Conclusion

Enterprise application modernization is essential for businesses competing in the digital age. Cloud technology is key to this process, enabling agility and innovation. While modernization approaches vary, a trend is clear toward standardized solutions that maximize the benefits of cloud and AI, including GenAI.

To be successful, increase efficiency and competitiveness, and future-proof operations, organizations must take a comprehensive approach to modernization, considering not only specific business needs and appropriate technologies, but also data governance and sustainability.

This blog serves as a summary of the valuable insights shared during our recent webinar on enterprise application modernization. If you found this discussion on the transformative power of cloud technology and AI interesting, we invite you to access the full webinar on demand.

Ashok Patel - Research Manager, European Enterprise Applications - IDC

Ashok Patel is a research manager in IDC’s European enterprise applications team. Prior to joining IDC, he led the Market Trends programme at Source Global Research, providing insights into the latest trends and developments across the professional services market, and has previous experience exploring clients’ perceptions of consulting firms. Prior to working in professional services, Ashok was an editor and consultant in the commodities market, as well as working in the automotive industry.

In three years, I anticipate that around 40% of global engineering-oriented manufacturing companies will leverage digital twins within the industrial metaverse to enhance collaboration and accelerate time to value.

What leads me to this prediction? Let’s start with IDC’s definition of the industrial metaverse as a highly immersive environment that seamlessly integrates the physical and digital worlds, fostering shared presence, interaction, and continuity across engineering, operations, supply chains, and business functions.

In engineering domain, the industrial metaverse functions as a cloud-native, multi-domain platform for 3D visualization and collaboration, bringing products to life through integrated, physically accurate simulations. It acts as a “digital twin of digital twins,” utilizing real-time data from multiple domains such as mechanical, electrical, and software interactions.

Building this environment requires collaboration among key players, including hyperscalers and providers of simulation platforms, 3D visualization, and digital business tools. New partnerships are constantly emerging, involving major companies in digital infrastructure, cloud computing, engineering platforms, visualization technologies, and artificial intelligence — all working together to push the industrial metaverse beyond the traditional digital twin model.

What Do the Numbers Tell?

Product innovation remains a key business priority for engineering-focused manufacturing organizations, as highlighted in IDC’s 2024 Global Manufacturing Industry Core Survey (Figure 1).

Figure 1: Question: What are your company’s top business priorities over the next 2 years?

According to IDC’s 2023 Global Product and Service Innovation Survey, 25% of manufacturing respondents considered industrial metaverse technology to be “very important” for product and service innovation. This number was even higher among engineering respondents, with 34% rating it as very important.

Furthermore, 38% of respondents from companies with over 1,000 employees in IDC’s 2024 Global Manufacturing Industry Core Survey stated that Industrial Metaverse technology plays a “moderate to very high” role in supporting their company’s achievement of key operational KPIs.

 As a result, the adoption of the industrial metaverse in engineering-focused manufacturing organizations is anticipated to grow steadily over the next three years.

In Conclusion

My advice for early adopters is to keep a close eye on hyperscalers, leading technology vendors, and the startup ecosystem — to stay up-to-date with the rapidly evolving landscape of industrial metaverse development. Additionally, remember that integrating real-world data with IT data to create advanced simulation and collaboration tools requires time and careful planning.

Building and nurturing digital communities and ecosystems is essential, as they will be key to future success in the industrial metaverse. Lastly, recognize that the value of the industrial metaverse extends beyond product design and engineering, reaching areas like operations, maintenance, quality, procurement, and the supply chain, among others.