Artificial intelligence is already transforming French businesses, with automated risk analysis, personalised customer relations and optimised business processes. The AI market in France is growing by almost1A 29% a year and is expected to reach €20 billion by 2030.
Yet a paradox persists: the rise of generative and agentic AI has revolutionised digital transformation, but many organisations are still stuck between experimentation and large-scale production. The key strategic question remains unanswered: where is my data hosted? Who has access to it? What infrastructures do my models run on?
Sovereign AI is emerging as a priority competitive challenge for all business departments. With the AI Act regulation and the €109bn of investment in AI infrastructure in France, the question is clear: «how do we get involved in concrete terms?»
According to PAC, sovereign AI refers to AI solutions governed and controlled within a defined jurisdiction (Europe/France), guaranteeing control over data and infrastructures.
For general management :
PAC, the European benchmark in IT services analysis since 1976, published its study «Leaders in Sovereign AI-related Services in France 2026» in February 2026. This is a PAC INNOVATION RADAR, a format specifically designed to evaluate service providers in innovative and emerging market segments.
In this demanding evaluation, JEMS, a European pure player in Data and AI, was rated «Excellent», with an overall score of 2.00 (on a scale where 1.0 is the maximum), significantly above the average for the panel evaluated (2.49).
The strong points identified by PAC are clearly above the average of the service providers evaluated:
Download the full PAC RADAR 2026 study to access the evaluation methodology, all the detailed scores and the competitive positioning.
The real challenge is not to adopt AI. It's about building the foundations that allow AI to work in a useful, responsible and sustainable way.
Too many organisations rush into AI tools without having structured their data assets. The result: experiments that never scale up, models fed by inconsistent data, and compliance that is impossible to demonstrate. The RADAR CAP confirms that the transition from «proof of concept» to industrial production remains the market's main challenge.
At JEMS, every project starts with the same question: Is your data ready to power trusted AI? The challenges of sovereignty, compliance and performance are different, but the foundation is always the same: a controlled data heritage.
Our data & AI teams are here to help you build your sovereign AI strategy, from data to production.
