At a glance: Data sovereignty is no longer a compliance matter for enterprises but a strategic necessity to implement AI initiatives in a regulatory-safe manner.
Regulatory pressure is forcing enterprises to reassess control over their data. A Forrester study shows that 48 percent of European cloud decision-makers now make data sovereignty the decisive criterion when choosing their cloud providers.
Managing data flows in today’s modern enterprise landscape has become a combined governance and architecture system. Enterprises move data daily between on-premises systems, cloud services, and distributed infrastructures – yet each of these movements is increasingly subject to stricter regulatory requirements. What was once primarily an IT operations matter has long since become the responsibility of senior management: lack of data control is now considered a serious enterprise risk.
The origin of this shift lies in growing regulatory density. Governments worldwide are introducing stricter governance restrictions – from the GDPR through the EU AI Act to national sovereignty requirements. For CDOs and IT leaders, this creates a dual challenge: they must preserve the technical flexibility and cost efficiency of modern cloud platforms while simultaneously demonstrating that data remains under their control and sovereignty requirements are met. The Forrester study “The State of Cloud In Europe, 2026” documents this reality concretely: in Europe, 48 percent of public cloud decision-makers make data sovereignty their primary selection criterion for cloud providers, driven by concerns about provider concentration and dependency risks.
The technological solution to this tension lies in decentralized, hybrid architectures. Traditional integration solutions were designed for on-premises environments; with cloud migration, connectivity gaps emerged that can hardly be closed under compliance requirements. A genuine hybrid cloud runtime environment that orchestrates data across platforms without fragmenting control has become a fundamental prerequisite. Only in this way can enterprises reconcile the global scalability of modern AI systems with strict local sovereignty requirements.
The core reason for this focus on data control is simple: AI initiatives are entirely based on data – and governments worldwide are increasingly regulating AI development and deployment through data sovereignty requirements. CDOs must therefore not only manage data flows but also be able to demonstrate a “chain of custody” that satisfies regulatory requirements while simultaneously allowing innovation velocity.
Source: www.it-daily.net · Published 4 June 2026
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