Last week, a select group of senior print and imaging executives gathered in London for IDC’s Print and Imaging Leadership Dinner. During this invitation-only evening, a conversation unfolded between IDC analysts and the people shaping the industry, moderated by IDC’s Sandra Ng.  

What came out of that dinner? Some of the discussions reaffirmed what many already suspected. But some of the insights revealed will fundamentally change how forward-thinking vendors approach the next 18 months. Here’s a taste of what was discussed, and why you’ll want to be in the room for one of IDC’s executive dinners next time.  

The buying committee has expanded, and most vendors are still selling to the wrong people  

Two years ago, a print deal sat with IT and procurement. That’s no longer the world we’re operating in. IDC’s 2026 European Print Survey, covering 2,000 organisations across eight markets, revealed that the stakeholder landscape has shifted dramatically. The conversation that used to happen in one room now happens in four.  

The implications for how vendors structure their go-to-market approach are significant, and the dinner surfaced a very specific playbook that the those gaining the most ground are already executing. We’ll leave the details for the briefing room.  

Security just overtook cost reduction as the #1 investment driver in print. 

A striking 24% of European technology buyers now cite security and compliance as their primary reason for investing in print. That puts it ahead of both cost reduction and productivity.  

This is more than a repositioning opportunity, as it moves the conversation to a different level within the organization,  with a different buyer. Those in the room heard exactly which messaging reaches the CISO, which regulatory triggers are opening budgets right now, and where the hardware story needs to evolve to stay relevant.  

IDC predicts that 40% of worldwide new office MFP shipments will be classified as AI MFPs by 2027. The vendors with a credible roadmap published today will be the ones with a strategic seat in 24 months. Those without one are already behind.  

The buyer has already formed a view before your sales team picks up the phone  

This was the session’s sharpest insight, and the one most likely to keep vendor CMOs up at night.  

GenAI-sourced web traffic grew 1,200% between 2024 and 2025. Two in three searches today end without a single click. Buyers are shortlisting vendors, forming preferences, and making preliminary decisions inside AI assistants, before they’ve seen your website, opened your brochure, or taken a sales call.  

IDC’s Gala Spasova gave a demonstration that stopped the room. When major AI assistants were asked the questions a head of digital workplace would actually type, around 30 vendor names came back consistently. Not a single print OEM appeared. When the question became print-specific, all the familiar names showed up.  

The print category is owned. The workplace category, where your buyers are actually looking, is invisible.  

What it takes to change that, and how fast it compounds once you do, was laid out in detail at the dinner. The short version: it’s not pay-to-play, and the window to act is narrow.  

Three places the money is actually moving in 2026, and the 12–18 month window you can’t afford to miss  

IDC analysts Jacqui Hendriks and Gala Spasova mapped out three near-term growth areas where European buyer investment is already building, from value-add software and services through to Intelligent Document Processing and a sustainability play that changes both the buyer and the budget.  

The most time-sensitive of these? A three-way alliance opportunity, vendor, channel, certified refurbisher, that’s unserved by the larger SIs and telcos, but not for long. European refurbished device shipments grew 28% in 2025. Demand is running well ahead of vendor readiness. The potential of such a model was discussed at the dinner in some detail.  

The commercial model shift that separates the winners  

The evening closed with a discussion on what’s actually different about the vendors capturing European growth. It’s not just what they’re selling. It’s the contracts they’re willing to sign, the conversations they’re prepared to have, and the partnerships they’re building now.  

Roberto Alunni and Phil Sargeant laid out, with uncomfortable precision, the behaviours that distinguish vendors gaining ground from those defending yesterday’s revenue. Some of it is replicable quickly. Some of it takes 18 months of investment to build. All of it was on the table.  

Were you in the room?  

If you weren’t at IDC’s Print & Imaging Leadership Dinner, or if you’re wondering how to get on the guest list for the next executive dinner, now is the time to reach out. Events like this are where the defining conversations happen: the information and insight that doesn’t make it into LLMs and the strategic debates that shape how the market moves, alongside networking and the connections that open doors.  

Whether your focus is European print and imaging, AI-driven workplace transformation, digital sovereignty, channel partnerships, or any of the many other topics shaping the European technology landscape, IDC brings together the senior leaders and the research to drive the conversation forward.  

To find out more about IDC’s European print and imaging research programme, or to join the conversation at our next event, contact your IDC representative or simply fill in our contact form.  

IDC’s European print and imaging research covers 2,000 organisations across Czech Republic, France, Germany, Italy, Poland, Spain, the UK and the Nordics, across 15 verticals. The 2026 European Print Survey data underpinning this dinner is available to IDC clients and select briefing participants.  

Phil Sargeant

Phil Sargeant - Senior Program Director, Imaging and Hardcopy Devices and Document Solutions, European Region

Phil Sargeant is IDC’s leading expert in the field of imaging, hardware devices and document solutions. As senior program director, he researches and reports on the key aspects of the multifunction, production and large format printer markets and is also…
Gala Spasova

Gala Spasova - Senior Research Manager, Europe Smart Office and EMEA Content & Knowledge Management Strategies

Gala Spasova is a senior research manager in IDC's Future of Workplace & Imaging team. Her research focus is on Hybrid working, Smart Office technology and Content & Knowledge Management Strategies in EMEA.  Spasova is also part of the European…
Jacqui Hendriks

Jacqui Hendriks - Associate Research Director, European Print Vendor Transformation Strategies

Jacqui Hendriks, Associate Research Director, European Imaging, Printing and Document Solutions Jacqui Hendriks heads up IDC's European Print Vendor Transformation Strategies research program, in collaboration with various IDC research domains. Hendriks has more than 30 years of experience of working…
Roberto Alunni

Roberto Alunni - Senior Research Director, EMEA Data & Analytics

Roberto Alunni is a Senior Research Director at IDC for imaging, print, and document solutions research across the EMEA region. He is responsible for strategic and operational implementation and leads an international analyst team. He is a specialist in imaging…
Sandra Ng

Sandra Ng - Senior Vice President, WW and APJ Research

Sandra Ng is Senior Vice President at IDC and the Global Domain Leader for Devices, Consumers, Imaging, and Japan. Based in Singapore, she advises technology buyers and vendors worldwide on technology investments, financial priorities, and go-to-market strategies. She leads a…

Artificial intelligence has been part of the telecom conversation for years. What is changing now is its role and scale. 

AI is no longer limited to isolated use cases or innovation initiatives. It is increasingly influencing core infrastructure decisions, from data center strategy to network architecture and investment priorities. 

Across EMEA, telcos are moving from experimentation to more structured, large-scale adoption. 

AI investment in telecommunications is accelerating across EMEA 

AI and generative AI spending in telecommunications is growing rapidly. In EMEA, spending is expected to increase at a compound annual growth rate of 31.8% between 2024 and 2029. 

Most telcos are already using, or planning to use, AI and machine learning to optimize network operations, improve customer experience, and explore new revenue streams. 

At the same time, operators are becoming more pragmatic. There is increasing focus on aligning AI ambitions with what existing data, cloud, and operational capabilities can realistically support. 

AI is reshaping telco infrastructure priorities 

As AI adoption scales, it is beginning to reshape how telcos think about infrastructure. 

Data center investments are being driven by workloads such as AI inferencing and large language model training. These require high-performance, low-latency environments and are pushing telcos to rethink how compute, storage, and networking are designed and deployed. 

This is reflected in several shifts: 

  • Closer collaboration with hyperscalers and ecosystem partners  
  • Expansion of colocation and edge deployments  
  • Greater focus on GPU-intensive infrastructure  

Infrastructure is becoming more closely aligned with the need to support real-time, distributed AI workloads. 

How short-term ROI is shaping AI adoption in telecom 

While investment is increasing, telcos are prioritizing use cases that can deliver measurable value in the near term. 

Employee productivity, customer experience, automation, and operational efficiency are key focus areas. These areas offer clearer paths to return on investment compared to more experimental AI initiatives. 

This creates a balance between near-term impact and longer-term transformation goals, such as autonomous networks and more adaptive service models. 

Data and cloud foundations remain a key challenge for AI 

Despite strong momentum, many telcos are still working to align their underlying capabilities with AI ambitions. Strong security and data privacy protections are fundamental to ongoing telecom investment in AI capabilities. If a capability or vendor partner is not trusted it won’t be implemented in production. 

Challenges around data quality, data management, and cloud readiness can also practically limit the speed and scale of AI adoption. As a result, AI strategy is closely linked to broader transformation efforts, including modernization of data platforms and investment in hybrid infrastructure. AI capabilities often act as multipliers of existing capabilities. The better the foundation the greater the impact and ability to scale. 

What this means for telecom operators 

AI is becoming a cross-functional priority that connects network, IT, and business strategy. 

Infrastructure planning, partner selection, and operating models increasingly need to reflect AI requirements. At the same time, telcos are working more closely with partners to access capabilities, accelerate adoption, and manage complexity. 

As AI becomes more embedded, it is also influencing how services are designed and delivered, and how operators position themselves in the market. 

Download the full analysis 

AI is one of the defining trends shaping the telecom market. In the IDC eBook State of the Telco Market 2026, you’ll find detailed data, forecasts, and analysis on how AI investment, infrastructure, and operating models are evolving. 

Download the eBook to explore the data behind these developments and better understand how the telco landscape is changing. 

If you’re currently evaluating how AI will impact your infrastructure, operations, or partner strategy, our experts are happy to exchange perspectives. Whether you’re at an early stage or already scaling initiatives, we welcome the conversation. Get in touch with our team to continue the discussion. 

Chris Silberberg

Chris Silberberg - Research Manager, Global Telecom Operations and Monetization

Chris Silberberg is Research Manager for IDC’s global Telecom 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…

Most EMEA organisations have the intent to scale AI. What they are missing is a way to execute. On May 28, 2026, IDC’s EMEA Digital Leaders Hub brought together Martina Longo, Daniel Saroff, and Giulia Carosella for a live session drawing on 12 months of conversations within the Hub and fresh IDC research. Below is a brief overview. The full recording is available on demand. 

AI maturity in EMEA in 2026: why execution, not intent, is the real gap 

IDC’s latest MaturityScape Benchmark (EMEA, N=583) tells a clear story: 63% of EMEA organisations are still in the two lowest AI maturity stages. Fourteen percent are ad hoc: scattered initiatives, no coherent strategy. Forty-nine percent are opportunistic, running pilots but without the repeatability needed to scale. Just 2% are effectively scaling AI and Agentic AI initiatives across their organizations, including unlocking AI-driven revenue growth. 

The journey maps from the (Gen)AI Scramble (fragmented, investment-heavy experimentation) through the AI Pivot (structured scaling) to the Agentic Organisation (AI embedded across operations). Most EMEA organisations are stuck in the transition between the first and second stage. The blocker is almost never ambition. It is the ability to execute. 

Why AI adoption in EMEA is stalling: five challenges organisations need to address 

Notably, 49% of EMEA organisations have already shifted their focus from launching new AI pilots to improving existing initiatives The experimentation phase is peaking, and EMEA organizations are no longer seeking new tools but instead focusing on making current AI work effectively first. But five structural challenges continue to slow progress: 

  • Competition for resources among digital initiatives 
  • Regulatory uncertainty slowing deployment decisions 
  • Resistance to process change within the business 
  • Difficulty quantifying and demonstrating AI ROI to the board 
  • Lack of executive sponsorship or organisation-wide buy-in 

These are not isolated problems. They compound each other. Without a shared language for value, the resource conversation is difficult to win. The webinar addressed all five, and the one that generated the most discussion was ROI. 

Measuring AI ROI: why cost savings are not enough 

The most common reason AI initiatives stall is not technical. It is that no one agreed upfront on what success looks like. IDC’s AI Business Value Benefit framework maps nine dimensions where AI creates measurable impact, spanning Revenue Generation and Customer Experience through to Sustainability, Time to Market, and Business Resilience. Most organisations are measuring only one or two of these dimensions and are therefore systematically underselling the value they already have. 

“Know what you want to achieve and how you will measure it” 
  — Alex Catmur, Commercial Director Digital, AtkinsRéalis 

Three practices that came up consistently in the session: 

  • anchor every initiative to a specific business outcome before selecting any tool: Start with value drivers, not technology 
  • if no executive has a stake in the metric, the initiative will eventually stall: Align to KPIs executives already own 
  • productivity gains are visible; resilience and trust are harder to quantify but equally real, and the framework accounts for both: Separate direct and indirect value 

The session also walked through a detailed case study of a global professional services firm that went from no shared ROI lens to confident scale decisions. If that is where your organisation is at present, it is worth watching the recording to hear how they structured the turnaround. 

How the CIO role is evolving in the age of AI 

IDC’s WW C-Suite Tech Survey (EMEA, N=300) makes the expectation clear: 42% of the broader C-suite now expects the CIO to lead digital and AI transformation with a major focus on creating new revenue streams. That expectation is growing faster than the formal authority that would make it achievable. 

The digital leader of the future, as IDC frames it, is an architect of three things: Workforce (orchestrating AI-fuelled change management), Resilience (modernising IT for strategic alignment), and Value (demonstrating what digital technologies actually deliver for the business). 

Three steps for digital leaders looking to prepare for this shift: 

  • not called in to implement choices that have already been taken: Get in the room before decisions are made 
  • accountability for results, not just go-live dates: Own the business outcome, not just the delivery 
  • design AI deployments to grow and withstand failure, not just to ship: Architect for scaling and recovery from the start 

The session went into considerably more detail on each of these steps, including the structural and political dynamics that make them harder in practice than they appear on paper. 

A practical AI transformation playbook: four steps that matter

The session closed with a synthesis that cuts through the complexity. Leading AI-fuelled business transformation comes down to four sequential actions: 

  • modernise architecture and data before scaling AI; pilots built on brittle infrastructure do not survive production: Fix the foundation 
  • anchor every initiative to a KPI an executive already owns; no metric, no mandate: Define the value 
  • redesign workflows and roles alongside the technology; AI layered onto old processes delivers expensive old results: Change the model 
  • run experiments to disprove bad assumptions quickly; promote only what survives to a funded pilot with a scale plan: Scale what works 

Straightforward to state, harder to execute. The webinar covers what this looks like in practice, including the Q&A that followed. 

The complete recording covers the full AI Business Value Benefit framework across all nine dimensions, the case study of a professional services firm moving from pilot to scale, the detailed best practice sessions on ROI measurement and the evolving CIO mandate, and the Q&A with the IDC analysts. If the topics covered are relevant to your organisation’s AI journey, IDC’s EMEA Digital Leaders Hub offers advisory support, benchmarks, and peer roundtables for CIOs and digital leaders navigating this transition. Reach out via the contact form to continue the conversation. 

Martina Longo

Martina Longo - Research Manager, Digital Business

Martina Longo is a research manager in the IDC Digital Business Research Group. In her role she advises ICT players on how European organizations create business value using digital technologies. She also leads IDC European Digital Native Business research, focused…
Daniel Saroff

Daniel Saroff - Group Vice President Research and Consulting

  Daniel Saroff is Group Vice President of Research and Consulting at IDC, where he leads the research agenda focused on end-user technology leaders, including CIOs and their direct leadership teams. He oversees a team of analysts and advisory professionals…
Giulia Carosella

Giulia Carosella - Senior Research Manager

Giulia Carosella is a Senior Research Manager in IDC's AI-Fueled Business Strategies team, leading the Worldwide research program. In this role, she researches current and emerging global trends in AI?driven business transformation, examining how organizations can reinvent themselves by leveraging…

AI is redrawing the rules of the partner ecosystem faster than most organisations can adapt. Last week, Stuart Wilson, IDC’s Senior Research Director for Partnering Ecosystems, and Andreas Storz, Senior Research Manager in the same practice, shared IDC’s latest research on what that means in practice for vendors, partners, and distributors operating across Europe and beyond. Drawing on survey data from more than 1,000 established partners, direct feedback from IDC’s European Partner Advisory Board, and real-world vendor examples, they made the case that the ecosystem is not simply evolving: it is being structurally reset. Here is a brief overview. The full recording is available on demand. 

How AI is eroding traditional partner revenue streams 

Stuart opened with a finding that will resonate with anyone tracking partner economics right now: AI is systematically compressing the lifecycle phases where partners have historically earned the most. Implementation, integration, and basic support are not disappearing, but they are becoming thinner and, in a growing number of cases, absorbed directly into vendor platforms. IDC has documented specific examples of how this compression is already playing out at scale, with leading vendors publicly committing to timelines and automation levels that would have seemed ambitious just 18 months ago. 

What makes this moment different from previous platform shifts is the speed and simultaneity of the impact. AI is hitting vendor economics, partner margins, and customer expectations at the same time. Partners who are waiting for the dust to settle before repositioning are likely to find the window has already closed. 

Where partner value is growing: advisory, AI governance, and outcome-based services 

The compression of execution-heavy activities does not mean the overall ecosystem opportunity is shrinking. IDC’s data points clearly to a redistribution of spend toward higher-order roles: AI solution design and agent creation, governance and compliance services, industry advisory, data engineering, and reusable marketplace IP. These are areas that reward deep domain knowledge and customer trust rather than delivery capacity. 

Customers are also changing how they expect to be served. Rather than relying on a single partner to cover the full lifecycle, they increasingly want a coordinated network of specialists. That shift has direct implications for how vendors structure their ecosystems and how partners think about collaboration rather than competition. The recording covers the full breakdown of where IDC sees demand growing and shrinking, and what partners are doing today to get ahead of it. 

Agentic marketplaces and the new partner go-to-market playbook 

Andreas Storz walked through a structural shift in how technology solutions are discovered and bought. Marketplaces are moving inside products, and IDC is seeing real evidence that customers are making decisions before a formal procurement process ever begins. This compresses buying cycles, introduces new buyer personas including business users and domain specialists who are not traditional IT buyers, and moves partner influence upstream into phases where most partner programs have little presence today. 

Partner Advisory Board members were frank about what this looks like from the front line. One dimension that generated particular discussion was the growing scrutiny customers apply to every new AI investment: 

“Customers scrutinize every purchase order. We are having to prove the ROI to the last penny before new AI work is approved.” — IDC Partner Advisory Board member, November 2025

Co-sell models are adapting accordingly. The shift away from field-led selling toward digital and telemetry-driven motions is not a future state: it is already shaping how the most forward-leaning vendors are structuring partner engagement today. The recording covers what that looks like in practice and what partners need to do to remain visible in these new buying journeys. 

Why vendor partner programs need a fundamental redesign for the AI era 

The structural conclusion Stuart and Andreas reached is that most partner programs in operation today were designed for a world that is rapidly ceasing to exist. The incentive structures, metrics, and engagement models built around resale transactions and implementation milestones are misaligned with where ecosystem value is now being created. Vendors that do not address this gap will find themselves losing the partners best positioned to deliver AI-driven outcomes to customers. 

The research points to a dual imperative: accelerating existing partners toward AI-centric delivery models while simultaneously cultivating a new generation of AI-native partners who bring differentiated industry IP and a very different set of expectations around how vendor relationships should work. How to run both strategies in parallel, without letting either undermine the other, is one of the more complex programme design challenges IDC is helping clients navigate right now. 

“AI-native competitors without legacy delivery models are coming. If we don’t pivot, we will be disrupted.” — IDC Partner Advisory Board member, November 2025 

The Q and A that followed also surfaced sharp questions on how AI model providers are disrupting established alliance hierarchies for global systems integrators, and whether the net effect of all this change will be a more consolidated or more fragmented ecosystem. Stuart’s answer to the latter was more nuanced than a binary either/or, and worth hearing in full. 

The complete recording includes data from the IDC EMEA Partner Survey data (N=1,001), a detailed breakdown of the dual partner strategy framework, and a live Q and A with both analysts. If the topics covered resonate with your ecosystem strategy, IDC’s Partnering Ecosystems practice offers advisory support, custom research, roundtables, and strategic workshops tailored to vendors, distributors, and partners navigating this transition.  
 
Our experts are always happy to continue the conversation. Simply reach out via the contact form.  

Stuart Wilson

Stuart Wilson - Senior Research Director, EMEA Partnering Ecosystems

Stuart Wilson is senior research director for IDC’s Europe, Middle East & Africa (EMEA) Partnering Ecosystems program. With over two decades of global experience, Stuart focuses on the rise of complex, connected ecosystems and how platform models are reshaping routes…
Andreas Storz

Andreas Storz - Senior Research Manager, EMEA Partnering Ecosystems

Andreas Storz is senior research manager for IDC’s Europe, Middle East & Africa (EMEA) Partnering Ecosystems program. Based in the US, Andreas focuses on the evolution of go-to-market models, new digital value chains and the wider impact on partner ecosystems,…

Digital accessibility is shifting from a compliance requirement to a key driver of inclusion, productivity, and innovation in the modern workplace. This blog explores where European organizations stand today and outlines a practical, technology-driven approach to turning accessibility into a competitive advantage. 

What Is Digital Accessibility in the Workplace? 

Digital accessibility refers to the design, development, and delivery of digital technologies, products, and services in a way that ensures they can be perceived, understood, navigated, and interacted with by all people, consistent with the principles established by the W3C Web Accessibility Initiative. This applies regardless of ability or disability and includes individuals with physical, sensory, cognitive, and neurodivergent conditions, such as impairments related to vision, hearing, motor function, speech, and information processing, as well as situational or temporary limitations. 

It encompasses not only compliance with accessibility standards and guidelines, but also the proactive inclusion of diverse user needs throughout the entire lifecycle of digital experiences, enabling equitable, independent, and dignified access for everyone. 

In simple terms, in today’s AI-enabled workplace, accessibility is no longer just a legal box to tick. It is a design choice that determines who gets to fully participate, innovate, and grow. 

The State of Digital Accessibility in European Organizations 

European legislation on workforce accessibility is comprehensive but uneven. Countries such as Italy, France, Germany, and Poland enforce employment quotas for people with disabilities, while the UK and Denmark rely on antidiscrimination and reasonable-accommodation laws. To harmonize these differences, the European Commission introduced the Disability Employment Package and the Strategy for the Rights of Persons with Disabilities 2021 to 2030, outlining shared approaches to inclusive recruitment, workspace adaptation, flexible working, and assistive technology adoption. 

Despite this robust framework, execution lags. IDC research shows that diversity and inclusion, including accommodation for people with disabilities, ranks near the bottom of EMEA organizational priorities at just 27 percent, well behind talent retention and reskilling. Around 30 percent of employees say their organization has not adopted any digital accessibility solution at all. Interestingly, employees are more optimistic than their employers. One in two believe AI is already improving digital accessibility and will help close the digital divide. 

The real issue is not missing legislation. It is the gap between what companies say they will do and what they actually deliver. 

How to Build a Digital Accessibility Strategy 

So how can organizations close that gap? IDC’s The Four Tech Pillars to Create a Digital-Accessible Work Environment lays out a closed-loop, five-step journey that keeps accessibility moving instead of getting stuck in a one-off project. 

  1. Start by listening. Assess what employees actually need through surveys, one-on-ones, and functional and contextual evaluations.  
  1. Review your technology stack. Evaluate hardware, software, productivity suites, and assistive tools for compatibility and gaps.  
  1. Embed accessibility early. Integrate accessibility into design and procurement, turning standards such as WCAG and EN 301 549 into mandatory checkpoints.  
  1. Establish governance. Define clear roles, responsibilities, escalation paths, and cross-functional ownership.  
  1. Measure impact. Use data to track ROI and support CSRD reporting on productivity, inclusion, and compliance.  

This should be seen as a continuous loop rather than a checklist, one that evolves alongside people, technology, and regulation. 

The Four Technology Pillars of Digital Accessibility 

Assistive technologies alone are not enough. IDC identifies four interdependent technology pillars, all supported by a foundation of best practices. 

  • AI-enabled assistive technologies: AI-driven screen readers, image and audio descriptions, captioning, and voice input integrated into mainstream collaboration platforms, matching the right technology to the right user.  
  • Accessible-by-design AI-driven platforms: HR, productivity, and collaboration tools built from the outset to meet EU accessibility standards, shifting remediation earlier and reducing long-term costs.  
  • AI-empowered configuration and orchestration layer: A governance backbone that sets standards, automates testing, and scales accessibility across workflows, teams, and vendors.  
  • AI, data, and analytics: Privacy-preserving analytics on usage, barriers, and outcomes to demonstrate ROI, support ESG and DEI reporting, and anticipate future needs.  

Underlying these pillars, best practices, including executive sponsorship, shared accountability, training, and continuous feedback loops, ensure that strategy translates into everyday operations. Without them, even the most advanced technology stack risks remaining underutilized. 

Why Digital Accessibility Is a Competitive Advantage 

Digital accessibility is no longer just about compliance. It plays a critical role in attracting diverse talent, enabling innovation, and responding to increasing ESG scrutiny. European regulation provides the framework, but culture, technology, and governance determine the outcome. 

By combining a closed-loop approach with the four technology pillars and strong best practices, organizations can move beyond risk mitigation and position accessibility as a true competitive advantage. 

Want the full picture? For the European legislative landscape and where organizations stand today, see IDC’s Digital Accessibility for the Workforce: European Legislation and Organizations’ Responses (IDC #EUR154346826, March 2026). For a practical technology playbook, refer to The Four Tech Pillars to Create a Digital-Accessible Work Environment (IDC #EUR154347126, April 2026). 

And if you would like to explore what these trends mean specifically for your business, our experts are always happy to continue the conversation. Simply reach out via the contact form

Erica Spinoni

Erica Spinoni - Senior Research Analyst, WW AI-Enabled Future of Work & EMEA Practice Lead

As member of the global FoW team, Erica also leads the group’s EMEA-focused research, exploring how new workplace models and technologies such as AI and automation are transforming employee experience and productivity across Europe, the Middle East, and Africa. She…

Three forces reshaping European cybersecurity buying decisions in 2026 

Last week, Joel Stradling, IDC’s Senior Research Director for Global Security and Trust, and David Clemente, IDC Research Director for European Security Services, presented the latest IDC intelligence on three topics that are driving security buying decisions across Europe right now: AI agents, security platform consolidation, and digital sovereignty. 

The session was built around IDC survey data and direct input from European CISOs. Here is a summary of the key findings. The full recording is available on demand. 

What your buyers are prioritising around AI agents 

IDC projects 1.2 billion AI agents in operation by 2029, performing 217 billion daily actions across four categories: custom-configured, in-application, standalone, and bespoke agents. For security vendors, the relevant signal is what this proliferation is doing to your buyers’ security priorities and investment patterns. 

On average, 16.7% of planned AI investment worldwide is currently allocated to AI agent security and governance. That is a meaningful budget line, and it reflects a genuine gap that security buyers are trying to close: most European organizations cannot fully account for the non-human agents already operating in their environments.  

Joel framed this in the session with a question that resonates with CISOs: how many agents are running in your ecosystem right now without being part of any governance programme? The answer, frequently, is that they do not know. 

IDC’s forthcoming MaturityScape Benchmark on AI-fuelled organizations gives a precise picture of where European enterprises stand on AI maturity. The details of that data, including the significant divergence between organizations IDC categorizes as survivors versus those that are thriving, are covered in the recording and available through IDC’s research programme. 

Where the platformization opportunity actually sits 

Joel was direct about the state of the market: security is, to a degree, broken. Vendor sprawl and complexity are the most consistently cited concerns in IDC’s CISO conversations, and the move toward vendor consolidation is real and accelerating. In IDC’s December 2025 survey, 84% of respondents agreed or strongly agreed that their organization is prioritizing security platformization. 

The gap worth understanding, however, is the one between customer intent and vendor positioning. IDC’s CISO Hub data from March 2026 shows that while close to two-thirds of senior security decision-makers say they already have a platform, there is no shared definition of what that means or where it is anchored. The result is fragmented islands of platformization rather than genuine consolidation. 

For vendors, the implication is that the buying conversation is not uniform. Joel walked through how platformization incentives differ by stakeholder: a CISO is looking at visibility, proactive defence posture, and operational efficiency; a CIO is focused on speed, agility, and reduced contract complexity; a CEO is weighing business growth, risk reduction, and regulatory accountability. Understanding which stakeholder is in the room changes the pitch considerably. 

The barriers to consolidation are equally important market intelligence. Tool sprawl, technical debt, skills gaps, upfront costs, and the desire to avoid vendor lock-in are all factors slowing decisions that, on paper, buyers have already made. The session explored each of these in detail. 

What the sovereignty conversation looks like from the buyer side 

David Clemente covered how European security buyers are currently thinking about sovereignty, and it is a more complex and more urgent conversation than it was 18 months ago. 

IDC’s 2025 Worldwide Digital Sovereignty Survey asked European cloud buyers about their main motivations for choosing a sovereign cloud. The top three responses were: concerns about extraterritorial data requests, compliance with national legislation and European directives such as NIS2, DORA, the Cyber Resilience Act, and the AI Act, and the baseline desire to improve data privacy and security. 

David framed the trade-offs buyers are navigating using a cost-versus-control matrix that maps different procurement categories from commodity hardware through cloud services, AI, and sovereign or defense-grade infrastructure. The useful insight for vendors is that these positions are not stable. The past 12 to 18 months have introduced a level of volatility that has caused many European buyers to revisit assumptions they had previously considered settled, including assumptions about suppliers headquartered in the United States. 

During this time, a number of developments have shifted that calculus, and buyers who were not questioning their vendors about sovereignty a year ago are now asking them directly. For US-headquartered vendors in particular, the session covered what buyers are asking and what kinds of responses are building or eroding confidence. 

The core message from David was straightforward: vendors who have genuinely thought through their sovereignty positioning, who can offer tangible provisions and answer specific regulatory and political questions, are in a different position from those who have not. That distinction is becoming visible to European buyers quickly. 

Watch the full session on demand 

The webinar covered substantially more than this summary captures, including the full benchmark data on AI maturity, the complete breakdown of platformization incentives by buyer persona, and a detailed Q&A with both analysts. 

IDC Security Summits Europe 2026 are taking place across the continent throughout the year, connecting vendors with 700+ senior security decision-makers in Madrid, Lisbon, London, Paris, Milan, Cologne, Stockholm, and Barcelona. The IDC European CISO Xchange takes place in Sitges, Spain, 8–10 November. Contact IDC for sponsorship and participation details

Joel Stradling

Joel Stradling - Senior Research Director, European Security

As senior research director for IDC's European Security practice, Joel Stradling leads the content and analyst team for tracking the European security segment. His main focus areas include Zero Trust Network Architecture, Managed Security Services, and Cyber Risk and Resiliency.…
David Clemente

David Clemente - Research Director, European Security

Dave Clemente is a Research Director in IDC's Security Services research practice, with a focus on managed services and professional services. His coverage areas include governance, risk and compliance, regulation, managed detection and response, incident response, cyber insurance, security budgets,…

AI is reshaping how partner ecosystems create value. As automation absorbs traditional delivery work, partner-led growth is shifting toward influence, orchestration, and trusted advisory roles. Here’s what ecosystem leaders need to know for 2026. 

Artificial intelligence (AI) has moved from experiment to operating reality across the technology ecosystem. Models are scaling fast, agents are being embedded into platforms, and automation is absorbing activities that partners have historically delivered as billable services. For ecosystem leaders, this has created an uncomfortable question: where does partner value sit in an AI-driven world – and how does growth happen next? 

The short answer is that partners are not being disintermediated. But their role is being fundamentally rewritten. 

Across IDC’s 2026 partnering ecosystem research, partner advisory board discussions, and recent market analysis, a consistent pattern is emerging. AI is not eliminating partners – it is reshaping where, when, and how value is created across the ecosystem. This shift is happening faster than many organizations’ partner models, metrics, and engagement structures can keep up with. 

How AI Is Shifting Partner Value from Delivery to Decision Influence 

One of the clearest signals we see is that AI is absorbing many traditional partner value activities: configuration, basic implementation, tier-one support, and even elements of solution design. Agentic systems and AI-driven service layers are reducing friction and cost in these areas – but they are also compressing margins and undermining longstanding partner revenue assumptions. 

At the same time, customer expectations are changing just as quickly. Buyers are no longer navigating linear vendor-to-partner journeys, or making decisions through a single buying role. Instead, buying journeys are fragmented, non-linear, and shaped by multiple stakeholders across IT, business, finance, and operations. 

Influence is spread across a blend of direct and indirect touchpoints – platforms, marketplaces, peer communities, embedded AI recommendations, and trusted advisory relationships that cut across suppliers and traditional channel boundaries. 

In this environment, execution alone is no longer a sufficient source of partner differentiation. 

What customers increasingly need is help deciding where and how to apply AI, how to control risk and cost, how to curate models and agents, and how to operationalize them inside real business processes. That shifts partner value up the stack – from doing, to guiding; from delivering, to shaping outcomes. 

Why AI Is Raising the Bar for Partner Value in the Ecosystem 

Another consistent theme from partner advisory board discussions is that while AI lowers barriers to entry in some areas, successful AI adoption at customers is anything but “plug and play.” 

AI must be: 

  • Created and adapted for specific business contexts  
  • Curated across multiple models, tools, and platforms  
  • Governed for security, cost, compliance, and performance  
  • Controlled over time as usage, scale, and risk increase 

These are not one-off tasks. They require ongoing judgment, trust, and ecosystem coordination. In practice, this makes the partner role – particularly the trusted advisor role – more critical, not less, as the pace of change accelerates. 

The challenge is that many partner programs and metrics are still optimized for yesterday’s value creation logic: certifications, headcount leverage, implementation scale, or resale volume. As AI reshapes economics, these signals tell an increasingly incomplete story. 

AI-Driven Partner Transformation: What’s Changing in 2026 

All of this points to 2026 as a transition year. Not a collapse of partner models, but a period of accelerated partner transformation. 

We see clear divergence emerging: 

  • Partners who double down on execution alone face margin pressure  
  • Partners who invest in advisory, IP, ecosystem orchestration, and AI control layers are gaining influence  
  • Vendors and platforms that continue to treat all partners the same risk misallocating investment 

The opportunity now is to rethink ecosystem strategy through the lens of buyer influence, value creation, and AI-driven change, rather than legacy program structures. 

Ecosystem Strategy in 2026: Key Trends and Insights 

In our upcoming webinar, Ecosystem Strategy in 2026: Turning AI Disruption into Partner-Led Growth, IDC will bring together: 

  • 2026 partnering ecosystem trends  
  • Real-world partner advisory board insights  
  • Buyer journey and influence models  
  • Practical guidance on where focused ecosystem investment can drive sustainable growth 

This session is designed for leaders across cloud platforms, enterprise SaaS, GSIs, distributors, infrastructure vendors, and AI-driven ecosystems who are shaping partner and growth strategy for the years ahead. 

If you are navigating how AI is reshaping your ecosystem – and where partners fit next – this is a conversation you will not want to miss. 

If you have any questions about anything in this blog, please drop them in here.  

Stuart Wilson

Stuart Wilson - Senior Research Director, EMEA Partnering Ecosystems

Stuart Wilson is senior research director for IDC’s Europe, Middle East & Africa (EMEA) Partnering Ecosystems program. With over two decades of global experience, Stuart focuses on the rise of complex, connected ecosystems and how platform models are reshaping routes…
Andreas Storz

Andreas Storz - Senior Research Manager, EMEA Partnering Ecosystems

Andreas Storz is senior research manager for IDC’s Europe, Middle East & Africa (EMEA) Partnering Ecosystems program. Based in the US, Andreas focuses on the evolution of go-to-market models, new digital value chains and the wider impact on partner ecosystems,…

Digital sovereignty is becoming a strategic priority across EMEA, reshaping how governments and enterprises choose infrastructure and network partners. This blog explores what the shift means for telcos, sovereign cloud, and AI infrastructure. 

Around the early 2010s, data residency was already part of the policy debate, but the infrastructure landscape was still more fragmented, and the issue had not yet become as central to cloud, AI, and national digital strategy as it is today. Telcos, regional ISPs, and a long tail of independent providers ran most of the hosting. The policy debates of the time already touched on carrier-neutral internet exchange points, peering, net neutrality, and data residency – how traffic moved between networks, where data was hosted, and who had jurisdiction over it. 

That picture has since changed twice over. 

First, market gravity shifted. A handful of hyperscalers and major social platforms absorbed most of the workloads, the storage, and the user attention. Hosting that used to sit inside national operators’ data centers consolidated into a few global clouds. 

Then policy caught up. Across EMEA, governments and regulators have moved data privacy, residency, and infrastructure control out of the compliance file and into national and regional strategy, with AI sovereignty layered on top, and geopolitical sovereignty sitting above all of it. 

For telcos, this is no longer a niche or optional conversation. It is actively shaping how enterprises and governments choose their network and infrastructure partners. 

How digital sovereignty is influencing buying decisions in EMEA 

The signal is clear. IDC’s EMEA Enterprise Communications and Collaboration Survey 2025 shows that, in response to geopolitical uncertainty, 28% of organizations are now more likely to use network service providers based in their own region, 27% are increasing their use of sovereign network services, and 26% are diversifying their network providers. Network infrastructure sits at the center of this shift, 70% of organizations cite sovereign controls over network infrastructure software as the most important component of technical sovereignty.  

The shift is showing up in budgets too. IDC’s 2025 Future Enterprise Resiliency & Spending Survey shows that nearly 30% of telcos plan to migrate applications from public cloud to country sovereign cloud infrastructure in 2026, with cybersecurity, regulatory compliance, and operational resilience among the top drivers of increased telco spending. 

Where AI and digital sovereignty converge 

AI has become a central thread in sovereignty conversations. The connection between cloud and AI needs has tightened, and sovereignty is now a recurring factor in both. IDC’s Worldwide AI and Generative AI Spending Guide Forecast (August 2025) projects AI and GenAI spending in EMEA telecommunications growing at a CAGR of 32% between 2024 and 2029, with telco AI spending set to treble by 2028. On the demand side, 53% of EMEA governments plan to increase their use of sovereign cloud for AI solutions, putting telcos squarely in the frame as infrastructure partners in sovereign AI ecosystems. 

The infrastructure shift is concrete. Among telcos, expanding data center capacity, AI inferencing (58%) and LLM training (54%) are the workloads driving most of the new build. Where these facilities sit, who certifies them, and who governs them is becoming a first-order strategic question. 

The role of telcos in sovereign cloud and AI ecosystems 

Governments across EMEA are pushing sovereign cloud and AI initiatives to take greater control of digital infrastructure and compute, and that is sharpening what buyers expect from their providers. 

Enterprise and public sector buyers are increasingly evaluating providers based on capabilities such as: 

  • In-country or in-region data centers  
  • Country-level certifications  
  • Freedom from lock-in 
  • Solutions to support operational resilience 
  • Sovereign controls of infrastructure  

Telcos are well placed to answer this list. National operators already own most of the underlying assets: in-country and in-region data centers, a regulatory and certification footprint, established government and enterprise relationships, and the connectivity layer itself. This is where telcos hold something cloud providers don’t; sovereign control over data in transit and the network layer itself. The bigger opportunity isn’t supplying pieces of someone else’s sovereign build. It’s pairing with sovereign cloud providers to deliver an end-to-end sovereign stack, data at rest and in motion, that neither side can credibly offer alone. 

What sovereignty looks like across Europe, the Middle East, and Africa 

Sovereignty is not a single play. The operator playbook looks different by sub-region. 

In Europe, regulation matters; and most of it now sits at EU level rather than national, but the top driver has shifted to protecting against extra-territorial data requests. Operators with strong domestic positions and certified infrastructure are best placed for both. 

In the Middle East, sovereignty is being driven top-down as national strategy. Governments are pairing sovereign cloud and AI ambition with serious capital, often through national champions, with major operators positioned as primary infrastructure partners. Established data localization regimes in some markets give operators a head start on dedicated capacity. 

In Africa, the story is data localization meeting infrastructure scale. National data protection frameworks are increasingly pushing data inside national borders, and pan-regional operators are expanding capacity that doubles as a sovereign-cloud foundation. 

Across all three, the playbook converges on regional infrastructure, certifications, simpler portfolios, and active ecosystem participation. Operators are also working with fewer, more strategic partners, ones that can take end-to-end accountability. 

Why sovereignty is becoming a default expectation 

Sovereignty has moved from a compliance topic to procurement criterion. It now sits alongside performance, cost, and scalability. AI and platform-based models only sharpen the demand for control, transparency, and resilience. 

For telcos, this isn’t a niche compliance discussion. It’s a strategic play, redefining what credible infrastructure looks like across EMEA, and where operators sit in the sovereign cloud and AI stack. 

Explore the broader telecom trends shaping 2026 
 
Sovereignty is one of several trends shaping the telecom market. In the IDC eBook State of the Telco Market 2026, you’ll find detailed data, forecasts, and analysis on topics including sovereign AI, infrastructure investment, and evolving business models. 

Download the eBook to explore the data behind these developments and better understand how the telco landscape is evolving. 

If you’re currently evaluating how sovereignty requirements will impact your network, infrastructure, or partner strategy, our experts are happy to exchange perspectives. Whether you’re at an early stage or already executing, we welcome the conversation. Get in touch with our team to continue the discussion. 

Tolga Yalcin

Tolga Yalcin - Research Director, Telecoms and ICT Regulations, IDC Middle East, Turkey, and Africa (META)

Tolga oversees the telecommunications and ICT policy and regulations side of IDC’s syndicated research, custom consulting, and advisory services in the Middle East, Turkey, and Africa region. Tolga plays an integral role in all IDC telecommunications-related initiatives in the Middle…