What You Need To Know From Forrester’s Global Sovereignty Forecast, 2025 To 2030

· Source: Featured Blogs - Forrester · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Public Policy & Governance · Depth: Fundamental Awareness, quick

Summary

Forrester's Global Sovereignty Forecast, 2025 to 2030, challenges the assumption that technological sovereignty equates to self-sufficiency, revealing that even the most advanced nations, including China and the United States, remain deeply dependent on foreign software, hardware, supply chains, and talent. The report highlights that total technological sovereignty is unattainable, shifting the focus from independence to managing dependence. Key findings indicate an accelerated sovereignty debate driven by geopolitical tensions and regulatory demands, with Europe facing significant dependencies on foreign hyperscalers and advanced semiconductor manufacturing. A more practical approach emphasizes maintaining agency—the ability to make strategic choices without external constraints—by evaluating critical workloads, single-provider dependencies, and viable alternatives. The forecast predicts gradual sovereignty gains over the next five years, offset by persistent dependencies, necessitating a focus on acceptable risks and ensuring choice.

Key takeaway

For CTOs and business leaders developing digital strategy, you must reframe technological sovereignty from an unattainable goal of self-sufficiency to a practical approach of managing dependencies. Prioritize identifying critical workloads, single points of failure, and viable alternatives to ensure your organization maintains agency. Embrace hybrid architectures, sovereign cloud offerings, and multivendor strategies to balance innovation with resilience against geopolitical and regulatory shifts.

Key insights

Total technological sovereignty is unattainable; the focus must shift to managing dependence and maintaining agency.

Principles

Method

Business and technology leaders should ask: Which critical workloads create unacceptable risk from external control? Where are single-provider dependencies? What viable alternatives exist?

In practice

Topics

Best for: VP of Engineering/Data, Director of AI/ML, Policy Maker, CTO, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Featured Blogs - Forrester.