A European Commission study has identified artificial intelligence, semiconductor-photonics integration, secure data sharing and energy-efficient computing as strategic priorities for the EU’s next research and innovation programme.
Published on 29 September 2026, the study is intended to inform digital investment under the 2028–2034 EU budget. It reviews Europe’s strengths and weaknesses across AI, robotics, cyber security, microelectronics, quantum technology, advanced connectivity and other critical fields.
What problem is the study trying to solve?
Europe has strong universities, research organisations and regulation, but the report says it is losing ground in research excellence and patenting across many digital areas. It also points to a persistent difficulty turning research into companies and products at global scale.
The authors argue that the challenge is not simply a lack of contact between researchers and industry. Europe needs to work closer to the technological frontier and support promising systems through later stages of development and deployment.
Which technologies receive particular attention?
AI appears as an enabling technology across robotics, cyber security, computing, connectivity and edge applications. The study also highlights semiconductor-photonics integration, secure identity and data sharing, advanced networks and the combination of extended reality with connected devices and cloud-edge systems.
Energy efficiency cuts across every category. More efficient chips, networks and software can reduce operating costs and the environmental burden of expanding digital infrastructure.
What assets does Europe already have?
The Commission says more than 60,000 EU companies are developing critical digital technologies, including over 20,000 advanced digital start-ups recorded in 2025. Venture investment in important technology areas has also grown since 2015.
Horizon Europe committed around €13 billion to digital technologies through its 2021–2025 work programmes, with substantial activity in microelectronics, AI, data and connectivity. The study treats that base as valuable but insufficient on its own.
Why is scaling still difficult?
Digital technologies often need expensive infrastructure, specialist talent, long development cycles and access to demanding customers. A successful prototype can still fail if firms cannot finance manufacturing, certification or deployment.
The study recommends stronger links to industry, better access to research infrastructure and more support around technology-readiness level six, where systems move from laboratory validation toward realistic demonstrations.
How could the findings shape EU funding?
The report supports continued investment, a stronger cross-technology approach and more agile funding mechanisms. It also calls for a balance between international collaboration and protection of strategically important European capability.
Those recommendations are evidence for future budget negotiations rather than an adopted spending plan. Member states and EU institutions will still have to decide priorities, totals and programme rules.
What should companies and researchers watch?
The next important documents will translate broad technology themes into calls, eligibility rules and infrastructure investments. Researchers should look for programmes that connect disciplines; companies should watch for support that bridges the gap between demonstration and commercial scale.
Success should be measured by durable capability—talent, intellectual property, manufacturing, adoption and productive firms—not merely by the number of projects funded.
Reporting basis
This article is based on the European Commission’s 29 September 2026 study summary. The recommendations will inform, but do not predetermine, the EU’s 2028–2034 research budget.
Featured image: Robynne O via Unsplash.