Data Sovereignty: Why 93% of Executives Now Place Geolocation as a Strategic Priority
In 2024, only 41% of executives listed AI sovereignty as a priority. By early 2026, that number surged to 93%. Gartner coined the term geolocation to describe the migration of data and applications back to local or sovereign environments. The sovereign cloud market is expected to grow from $12.8 billion in 2025 to $58 billion by 2030.
The speed of change is telling. In 2024, only 41% of executives listed AI sovereignty as an organisational priority. By early 2026, that number had jumped to 93%. Regulatory and geopolitical pressures are redefining where data can reside, where models can be trained and who can access them.
Gartner coined the term geolocation to describe an emerging strategy: moving data and applications from public global clouds back to local or sovereign environments. The consultancy predicts that by 2030, more than 75% of European and Middle Eastern companies will geopatriate their virtual workloads, a significant leap from less than 5% in 2025.
The Regulatory Context
At least 34 countries have established data localisation requirements that impact the use of AI. The collapse of the EU-US Data Privacy Framework in 2025, following the European Court of Justice invalidating the agreement, intensified compliance challenges for companies processing data of European citizens outside the bloc.
In November 2025, the European Supervisory Authorities designated 19 IT service providers as critical under DORA, including AWS, Microsoft Azure and Google Cloud. This designation imposes direct audits by European regulators on third-party infrastructure, an unprecedented level of scrutiny on cloud providers.
The Sovereign Cloud Market
IDC projects that the global sovereign cloud market will grow from $12.8 billion in 2025 to $58 billion by 2030, with a compound annual growth rate of 35.2%. France, Germany and the Gulf Arab countries are leading the pace of adoption, with initiatives such as the European Gaia-X and national AI projects across various G20 countries.
Technological maturity has kept pace with demand. Models like Llama 3.1 405B and Mistral Large, running on local infrastructure, now cover 85% to 90% of business use cases with quality indistinguishable from cloud APIs for most business applications.
The Complexity of Execution
Most companies have AI sovereignty on their agendas for 2026, but few have a detailed strategy. Sovereign cloud migrations typically take three to four years, involve renegotiating contracts with suppliers, investing in local infrastructure, reskilling teams and adapting data architectures.
For the C-level
The question is no longer if data sovereignty is a priority. It is when the regulatory impact will become unbearable for organisations that have not started planning. For CIOs, the 2026 agenda includes mapping which data and workloads are candidates for repatriation, assessing sovereign cloud suppliers by jurisdiction, and establishing a clear data residency policy for new AI projects.