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AI Strategies and Adoption in EMEA Financial Services

Tom Zink — Sun, 14 Sep 2025 04:00:00 GMT

This IDC Presentation gives a regional view for the Europe, Middle East, and Africa (EMEA) region of insights from IDC's AI Tech Buyer Survey 2025. The survey focuses on trends in generate AI (GenAI) and agentic AI strategies, organizational maturity, priority use case for AI agents, ROI expectations, key challenges, the evolving vendor ecosystem, and vendor selection criteria, as well as key functional roles required to drive agentic AI.

The data is based on primary research conducted by IDC in 1Q/2Q 2025. The survey interviewed financial institutions across Europe, including Germany, the United Kingdom, France, the Netherlands, Italy, Sweden, Spain, Denmark, Norway, Poland, the Czech Republic, Hungary, and the META region including United Aarab Emirates (UAE), South Africa, Türkiye, and Saudi Arabia.

"Financial institutions are rapidly moving from playing around with GenAI towards taking the technology to the next level — agentic AI. Financial institutions generally feel well prepared, given that foundational work such as AI strategy and AI governance have been put in place, paving the way for the rapid adoption of agents in the enterprise. Key use cases are mainly IT support and helpdesk and cybersecurity." — Senior Research Director Tom Zink, IDC Financial Insights

IDC PeerScape: Peer Insights for AI-Driven Manufacturing Architecture

Robert Multhaup — Sun, 14 Sep 2025 04:00:00 GMT

This IDC PeerScape interviews two key industry leaders to examine their views on how to transform to a new AI-driven manufacturing architecture.

"Manufacturing has great potential to exploit the powers of AI. However, the transition to a new AI-driven manufacturing architecture must be carefully crafted and managed," says Bob Multhaup, adjunct research advisor, IT Executive Programs (IEP), IDC.

Implement Security in MCP: Managing Identity Risks in Agentic AI with MCP-I

Frank Dickson, Grace Trinidad — Sun, 14 Sep 2025 04:00:00 GMT

This IDC Perspective discusses how the Model Context Protocol (MCP) is emerging as a standard for enabling seamless communication between AI agents and external systems, particularly in multiagent environments. Despite its connectivity advantages, MCP lacks robust security measures, posing risks such as impersonation, unauthorized access, and data leakage. The rise of agentic AI systems, which operate autonomously and make decisions independently, underscores the need for strong identity frameworks. For securing MCP, organizations should focus on three key approaches: discovery and visibility, proxying identity protections, and implementing gateway solutions.

"Securing MCP and agentic AI systems requires reimagining identity frameworks to ensure agents operate securely and transparently. By implementing cryptographic identities, scoped permissions, and robust audit mechanisms, organizations can transform AI agents into accountable participants in enterprise workflows, safeguarding sensitive resources and maintaining compliance." — Frank Dickson, group vice president, Security and Trust, IDC

IDC MarketScape: Europe, Middle East, and Africa Healthcare Data Platforms for Providers 2025 Vendor Assessment

Silvia Piai — Fri, 12 Sep 2025 04:00:00 GMT

This IDC study evaluates vendors delivering healthcare data platforms for providers across the EMEA region, assessing their strategies and capabilities. IDC defines these platforms as “modern, cloud-based environments that seamlessly integrate, orchestrate, and enable the intelligent use of health information.” These platforms go beyond traditional data management, providing a solid foundation for advanced interoperability, data-driven decision-making, and data excellence. Designed to support key initiatives such as AI-powered workflows, hyper-personalized patient engagement, and integrated care delivery, healthcare data platforms shift the focus from merely storing data to leveraging it for actionable insights and improved patient outcomes.

“EMEA is entering a phase where leading organizations are harnessing platform architecture not just to modernize, but to fundamentally reinvent care delivery models at scale. Those that hesitate to adopt these platforms risk falling behind as they face increasing regulatory pressure, rising cyber risks, and the operational challenges of data lock-in. The cutting edge of the EMEA health data platform market lies in the ability to operationalize innovation responsibly, aligning with diverse local requirements and delivering smarter, faster solutions that legacy systems simply cannot match.” — Silvia Piai, research director, IDC Health Insights

Leveraging Advanced AI: A Framework for Conversational AI Use Case Selection

Hayley Sutherland — Fri, 12 Sep 2025 04:00:00 GMT

This IDC Perspective explains a framework with four pillars for conversational AI use case selection and provides additional guidance for organizations that want to use advanced technologies like agentic AI and generative AI for conversational use cases like customer service, internal employee knowledge assistance, HR/onboarding, IT help desk, sales, marketing, and lead generation. To help technology buyers in developing an AI use case road map for their own organization, from initial brainstorming to prioritization, optimization, and expansion, IDC has developed these four "pillars" as guiding principles.

"As with many new technologies, IDC has seen organizations face challenges in adoption and expansion of advanced AI, from data privacy and security concerns to selecting the right KPIs and use cases to upskilling workers and overcoming technical debt," said Hayley Sutherland, research manager, Conversational AI, IDC. "However, careful use case selection is a strong starting point for addressing many of these issues and can reveal other important considerations in terms of both challenges and benefits. IT and business leaders should leverage IDC's framework to develop a use case road map that will help their organization become AI first."

Leveraging Decision Intelligence to Drive Student Success: A Case Study of Western Governors University

Matthew Leger, Ravikant Sharma — Fri, 12 Sep 2025 04:00:00 GMT

This IDC Perspective examines how Western Governors University (WGU) is implementing decision intelligence (DI) in partnership with Aera Technology to support personalized student interventions at scale. The initial use case focuses on improving assessment readiness and course completion through faculty-facing recommendations generated from integrated student data. The case study details WGU's implementation approach, early outcomes, governance model, and plans to expand DI across additional stages of the student journey, offering practical considerations for other institutions exploring similar efforts.

"At a time when much of higher education's focus is on generative AI and agentic AI, WGU's adoption of decision intelligence — borrowed from the supply chain industry — illustrates an alternative approach to improving student outcomes through structured, outcome-driven interventions," said Matthew Leger, senior research manager for IDC's Worldwide Education and EdTech Digital Strategies research program.

Agentic AI and Enterprise Skills Training: The Road to 2030

Gina Smith, PhD — Thu, 11 Sep 2025 04:00:00 GMT

This IDC Tech Buyer Presentation explores the expected evolution of agentic AI–assisted enterprise skills training between now and 2030. The focus is on personalized learning experiences, AI-assisted learning content generation, AI coaching, AI-powered learning analytics, and agentic AI workflow integration. In addition, the document examines what technologies need to be in place to enable each phase of advancement in these domains.

IDC MarketScape: Asia/Pacific Unified AI Platforms 2025 Vendor Assessment

Surjyadeb Goswami, Deepika Giri, Daeil Chun, Swapnil Shende — Thu, 11 Sep 2025 04:00:00 GMT

This IDC study represents a vendor assessment of the unified AI platform for Asia/Pacific region through the IDC MarketScape model. This assessment discusses both quantitative and qualitative characteristics that explain success in the unified AI platform market. This IDC MarketScape covers a variety of vendors participating in the unified AI platform space. The evaluation is based on a comprehensive and rigorous framework that assesses vendors relative to the criteria and to one another and highlights the factors expected to be the most influential for success in the market in both the short term and the long term.

"Technology is evolving rapidly, with new forms of AI emerging and future applications blending generative and traditional AI. In this dynamic environment, a unified AI platform becomes essential — supporting the full life cycle of GenAI, predictive, prescriptive, and emerging models while orchestrating across data platforms, infrastructure, and governance. Designed to be open, modular, and interoperable, it adapts to every stage of the enterprise AI journey. As the ecosystem evolves, vendors from diverse backgrounds — infrastructure, cloud, software as a service (SaaS), and data platforms — are converging, creating a powerful, multidimensional foundation for enterprise AI," says Deepika Giri, associate vice president, AI & Data Research, IDC Asia/Pacific.

IDC MarketScape: European Artificial Intelligence Services 2025 Vendor Assessment

Dina Capelle — Thu, 11 Sep 2025 04:00:00 GMT

This IDC MarketScape comprises a vendor assessment of the European AI services market using the IDC MarketScape model. The assessment discusses both quantitative and qualitative characteristics that explain success in the AI services market. This document covers a variety of vendors participating in the AI services space. The evaluation is based on a comprehensive and rigorous framework that assesses vendors relative to the criteria and to one another and highlights the factors expected to be the most influential for both short-term and long-term success in the market.

“European enterprises are no longer satisfied with just experimentation; they expect AI initiatives to generate tangible business results. Service providers are essential allies on this journey, offering strategic guidance, scalable solutions, and operational expertise. The 23 vendors evaluated in this study are leading the charge in helping European enterprises unlock measurable business value from AI investments while navigating evolving regulatory, sovereignty, and ethical considerations.” — Senior Research Analyst Dina Capelle, European Services, IDC

IDC MarketScape: Worldwide Media Production, Distribution, and Monetization Integrated Cloud Solutions 2025 Vendor Assessment

Alex Holtz — Thu, 11 Sep 2025 04:00:00 GMT

This IDC study evaluates vendors offering "unified" integrated cloud solutions for media production, distribution, and monetization by 2025. It highlights the challenges media companies face, such as achieving profitability, rising content costs, technological shifts, and regulatory pressures. The study emphasizes the importance of leveraging cloud infrastructure, AI, and data insights to streamline operations, enhance viewer engagement, and develop sustainable monetization models. Vendors are assessed based on their capabilities and strategies to address these evolving industry needs. Emphasis is placed on prioritizing the integration of cloud-native solutions to streamline and unify production, distribution, and monetization processes, leveraging AI and automation to enhance operational efficiency and audience engagement.

"Prioritizing the integration of cloud-native solutions to streamline and unify production, distribution, and monetization processes, leveraging AI and automation to enhance operational efficiency and audience engagement is a necessity to compete effectively especially when targeting financial objectives that are challenging in today's streaming world," stated Alex Holtz, research director, Worldwide Media and Entertainment Digital Strategies. "Setting expectations partnering with consultants, systems integrators, and technology vendors that have validated experience and the financial knowledge to develop a business plan focused on total cost of ownership, breakeven, and profitability objectives from initial concept ideation through solution deployment including road map enhancements through the introduction of AI and data insights throughout the business cycle for intelligent decisioning is paramount to success."