Insights & Market Trends

Data&AI Monitor (2025/2026)

The Data & AI Dilemma: From Potential to Performance

2025 marks a new phase in AI Adoption: the rise of agentic systems that act, reason, and collaborate autonomously - reshaping traditional business models. 

The question is: 
Are organizations truly moving from potential to performance? 
 
The Data & AI Monitor 2025/2026 explores the answers—backed by insights from over 500 professionals across industries, roles, and company sizes. 

Data & AI Monitor_open report with some pages mockup

Get the latest thinking on experimentation culture, budget alignment, AI maturity, and the rise of responsible, production-ready AI. 

What is the Data & AI Monitor? 

The Data & AI Monitor is original market research from Xebia, in collaboration with Data Expo. This edition brings together the perspectives of over 500 professionals from more than 10 industries, sharing insights on: 

  • Data strategy
  • Cloud and platform maturity
  • AI readiness
  • Governance and trust
  • Emerging trends like GenAI, AI agents, and automation 

Who did we survey? 

Market Focus 

This edition brings together insights from over 500 professionals spanning Central Europe, the United States, MEA, and more. Among them, 59.2% of respondents work for organizations primarily targeting business customers (B2B), 21.8% serve both B2B and B2C markets, and 19% focus on consumers (B2C).

Organization Size 

The sample includes a wide spread, with representation from small companies (<50 employees), mid-sized firms (50–250), and large enterprises (250+), providing a balanced view of the market. 

Responders Roles 

Participants hold diverse roles, with approximately 35% in data and technology engineering, 25% in business and team management, 20% in strategy and C-suite leadership, 15% using data in marketing or BI analysis, and 5% in consultancy and other roles, ensuring insights reflect multiple organizational perspectives. 

Why is it different than others? 

Many AI reports focus on potential — we focused on performance. 

  • It blends strategic questions (AI vision, investment, policy) with practical execution insights (stack, ops, use cases) 
  • It focuses on barriers and enablers, not just hype or tech 
  • It gives real comparative views by industry, revealing patterns hidden in generic AI surveys It includes frank sentiment data about fears, dependencies, and leadership tensions — like AI workforce impact and cloud vendor lock-in 

Key Findings (2025 Edition)

  • Only 24% of organizations extract real business value from AI.
  • 72% worry about dependency on external cloud vendors.
  • 80% believe US tech giants hold too much influence.
  • 87% call for stronger European independence in AI.
  • Strong enthusiasm for AI copilots and generative agents, but adoption is early-stage.
  • Trust in AI remains low without a "human in the loop".

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