AI Trends Report 2026: How European enterprises turn AI into business value 

What the data says about AI maturity, scaling and governance in 2026 

Created by OMMAX x Singulier in collaboration with Statista, the AI Trends Report 2026 is based on a survey of 250 senior decision-makers across Germany, France, Italy, the Netherlands and the UK, and benchmarks how European enterprises are adopting, scaling and governing AI. 

The central finding is clear: most organisations have moved beyond experimentation, but many still struggle to convert AI ambition into scalable, measurable business value. 

AI is no longer a side experiment. For many organisations, it is now a business imperative. Yet as investment continues to rise, the same question keeps surfacing: how do you move from promising pilots to measurable business value? 

Why organisations still struggle to turn AI ambition into execution 

The findings show that strategic intent is moving faster than operational readiness. While 58% of organisations have a clearly defined AI strategy, only 44% have a fully implemented AI operating model. In other words, many businesses know where they want to go with AI, but fewer have built the structures required to deliver value consistently at scale. 

That gap also appears in outcomes. 84% of organisations report measurable improvements in operational efficiency through AI, while 75% report revenue impact. Productivity gains are becoming more common, but turning those gains into sustained commercial value remains the harder step. 

Why so many AI initiatives still fail to scale 

One of the clearest messages in the report is that the biggest challenge is no longer access to AI. It is execution. 79% of AI initiatives that fail do so during or after the pilot stage, with 44% breaking down in the move from pilot to production. At the same time, 65% of AI projects exceed their original budgets, raising a tougher question about what successful scaling really costs. 

What is getting in the way? Integration complexity ranks as the biggest obstacle to stronger AI impact at 40%, followed by talent shortages or organisational readiness issues at 32%, unclear ROI at 32%, and fragmented data foundations at 30%. The implication is clear: scaling AI is not only a technology challenge. It is also a coordination challenge across systems, workflows, teams and decision rights. 

What governance and ownership tell us about AI maturity 

The report also points to an organisational pattern that may be limiting business impact. Only 7% of organisations place AI ownership within business units, while 48% keep it within IT and engineering. That structure helps explain why AI often delivers operational efficiency first, while broader commercial impact lags behind. 

Governance is advancing, but maturity is still evolving. 66% of organisations assess AI-related risks often or very often, which suggests governance is now established in many businesses. At the same time, 80% already share sensitive data with external AI providers, making data governance, sovereignty and practical operating controls increasingly important as AI adoption accelerates. 

What you will learn in the report 

The report explores: 

• the current state of AI maturity across European enterprises 

• why many AI initiatives fail to scale 

• the role of operating models, governance and organisational readiness 

• how leading organisations are turning AI into measurable business value 

• five strategic priorities for building AI-ready organisations in 2026 and beyond 

Whether you are defining your AI strategy, scaling enterprise AI or strengthening governance, the AI Trends Report 2026 provides practical benchmarks and actionable insight to help accelerate your AI transformation. 

FAQ 

Download the AI Trends Report 2026 to benchmark your organisation’s AI journey against leading European enterprises. 

To discuss what the findings mean for your business, speak to our experts at Singulier and OMMAX about how to turn AI ambition into measurable value.