Global Market: Europe’s tech giants emerge as surprise AI winners as enterprise adoption takes off

The artificial intelligence (AI) boom was initially expected to primarily benefit companies developing large language models and foundational AI technologies. However, recent corporate earnings suggest that some of Europe's largest and most established technology companies are emerging as major beneficiaries of enterprise AI adoption, according to a Reuters analysis.

As businesses move beyond pilot projects and begin integrating AI into day-to-day operations, demand is shifting towards companies that can help organizations implement, manage and govern AI within complex existing technology environments.

Recent earnings from SAP, Capgemini, Sopra Steria and OVHcloud point to stronger demand, improved growth and more optimistic business outlooks as enterprises accelerate AI deployment across finance, supply chains, human resources and other critical functions, Reuters said.


Enterprise AI moves beyond experimentation

According to Reuters, organizations are discovering that deploying AI at scale is far more challenging than simply gaining access to AI models.

Rather than relying on a single AI provider, companies are increasingly adopting multiple AI models for different use cases while balancing performance, security and regulatory requirements. The bigger challenge now lies in integrating AI with existing software systems, business processes and data infrastructure.

UBS recently noted that the greatest value from AI is likely to be created through applications rather than models themselves, highlighting the importance of companies specializing in enterprise software and digital transformation.

Established software firms gain competitive advantage

Europe's technology leaders appear well positioned, given their decades of experience helping large organizations integrate complex technologies.

Most enterprises operate with legacy software, fragmented databases, customized applications and strict governance frameworks. AI systems must seamlessly fit into these environments while maintaining security controls, audit trails, user permissions and existing workflows.

Reuters reported that this complexity has become one of the biggest barriers to large-scale AI adoption.

Research from Boston Consulting Group also suggests that AI deployment is advancing faster than companies' ability to manage it effectively, with more than 70% of investors expressing concerns over whether organizations have the technical and operational capabilities needed for successful implementation.

AI implementation spending gains momentum

As AI adoption matures, spending is increasingly shifting towards implementation, integration, governance and enterprise infrastructure.

SAP reported a 26% increase in its cloud backlog at constant currencies to €22.9 billion, reflecting continued migration of critical enterprise applications — including finance, procurement, supply chain and human resources — to cloud platforms that increasingly support AI deployment.

Reuters noted that SAP's acquisitions of data specialist Dremio and AI company Prior Labs further highlight the growing importance of making enterprise data accessible for AI applications.

Consulting firms benefit from enterprise transformation

French IT consulting firms Capgemini and Sopra Steria also reported improving business momentum.

Capgemini raised its full-year growth guidance after bookings increased 9.2%, while Sopra Steria upgraded its outlook as organic growth accelerated to 5.3%.

According to Reuters, both companies are benefiting from rising demand for AI integration, enterprise data management and governance systems that enable secure and compliant AI deployment.

These capabilities are particularly valuable in industries such as defence, aerospace, healthcare and critical infrastructure, where AI must operate alongside specialized software and within tightly regulated environments.

Data sovereignty becomes a competitive advantage

Another trend supporting Europe's established technology companies is growing customer demand for greater control over AI infrastructure and data.

Reuters reported that businesses increasingly prefer AI deployments that allow them to retain ownership and control of their technology and sensitive corporate information, particularly in highly regulated industries.

This preference is especially strong in sectors such as defence, aerospace and critical infrastructure, where data sovereignty, cybersecurity and regulatory compliance are key concerns.

Airbus has selected Scaleway, owned by French telecommunications group Iliad, for sensitive industrial and defence-related AI applications while also working with AI tools developed by Mistral. The aerospace company expects around 70 critical applications to run on Scaleway by the end of 2028.

European cloud providers also benefit

European cloud infrastructure providers are also beginning to gain from this shift.

OVHcloud reported a 20.2% increase in public cloud revenue during its third quarter, indicating that demand for European-controlled AI infrastructure is translating into commercial growth.

According to Reuters, infrastructure hosted within Europe is attracting customers seeking alternatives that are not subject to extraterritorial regulations such as the US Cloud Act.

Long-term opportunity remains under watch

Despite the improving outlook, Europe's tech incumbents still face challenges in proving that AI-driven demand can be sustained over the long term. Investors remain focused on whether automation could eventually put pressure on margins in lower-value consulting and software services.

Nevertheless, recent earnings indicate that the financial benefits of the AI revolution are extending well beyond companies developing AI models. Firms that help organizations integrate, manage and securely deploy AI across complex enterprise environments are increasingly emerging as some of the technology sector's biggest winners.