Europe’s Established Tech Companies Are Finding New Growth in Artificial Intelligence
While much of the AI spotlight remains on frontier model labs and US hyperscalers, a quieter success story is unfolding among Europe’s established technology companies. Firms such as SAP, Capgemini, Sopra Steria and OVHcloud are reporting accelerating demand as enterprises move from experimentation to operational deployment of artificial intelligence.
SAP’s cloud backlog rose 26% year-on-year to €22.9 billion as companies continued shifting finance, procurement, supply-chain and human-resources systems onto platforms designed to support AI applications. The German software giant has reinforced its position through acquisitions in data and AI, recognising that accessible, high-quality enterprise data is the foundation for useful AI.
French IT services leaders Capgemini and Sopra Steria have also upgraded outlooks. Capgemini raised its full-year growth target after bookings increased 9.2%, while Sopra Steria saw organic growth accelerate to 5.3%. Both point to rising demand for AI implementation, integration and governance projects. As organisations discover that connecting AI to complex legacy systems and meeting regulatory requirements is harder than accessing a chatbot, spending is shifting toward the companies that already understand those environments.
OVHcloud, Europe’s largest pure-play cloud provider, reported public-cloud revenue growth of 20.2% in its latest quarter. Heightened concern about data sovereignty and exposure to non-European laws such as the US Cloud Act is translating into commercial demand for European-controlled infrastructure. Airbus, among others, is expanding critical applications onto European cloud platforms.
The common thread is a shift in enterprise behaviour. Early AI projects focused on proof-of-concept chatbots and isolated pilots. Companies are now trying to embed AI into core processes, which requires systems integration, data engineering, change management and compliance expertise—areas where Europe’s larger technology and services firms hold structural advantages.
This does not mean European companies are closing the gap in foundation-model research. It does suggest that a substantial share of AI-related spending is flowing toward implementation rather than pure model development. For investors and policymakers concerned about Europe’s technological standing, the pattern offers a more nuanced picture: competitive strength may lie as much in making AI work inside regulated, complex organisations as in building the models themselves.
As the EU AI Act’s transparency and high-risk rules continue to roll out, the need for trusted implementation partners is likely to grow further. Europe’s established tech companies appear well positioned to capture that demand.
