The US Government Tech Market Enters A New Phase Of Change

2026-02-12 · Source: Featured Blogs - Forrester · Field: Government & Public Sector — Digital Government & E-Government, Public Policy & Governance, Public Finance & Administration · Depth: Intermediate, short

Summary

US government technology spending, including staff costs, is projected to reach $357 billion in 2026, a 4% increase from $343 billion in 2025, accounting for 12.3% of the total US tech spending of $2.9 trillion. This growth occurs amidst a significant technological realignment driven by three forces: AI becoming the central organizing force in government tech strategy, legacy complexity colliding with AI-driven modernization pressure, and a shift from standalone tools to integrated capability ecosystems. Agencies are consolidating data, piloting agentic systems, and increasing investment in cloud, analytics, API management, and AI governance. Modernization efforts are now unavoidable, with oversight bodies demanding data lineage and model assurance, while procurement emphasizes supply chain provenance and domestic hosting, favoring vendors offering integrated solutions over point products.

Key takeaway

For government leaders overseeing technology strategy, you must move beyond incremental pilots to build foundational capabilities for durable transformation. Focus on unified data estates, modern engineering practices, robust governance, and resilient architectures to meet rising public expectations and navigate geopolitical risks. Your procurement decisions should prioritize vendors demonstrating integration readiness, supply chain resilience, and a credible AI governance story to align with evolving legislative demands like New York's RAISE Act and California's Transparency in Frontier AI Act.

Key insights

AI is reshaping US government technology strategy, driving modernization and a shift to integrated capability ecosystems.

Principles

• AI readiness equals future service delivery readiness.
• Modernization is a strategic inflection point, not an episodic upgrade.
• Interoperability and composability are critical for mission outcomes.

Method

Agencies are consolidating fragmented data estates, piloting agentic systems, and adopting responsible AI practices like Forrester's AEGIS framework to guide safe adoption and secure architectures.

In practice

• Consolidate fragmented data estates for AI readiness.
• Pilot agentic systems for caseworkers and analysts.
• Prioritize integrated capability stacks over point solutions.

Topics

• Government Technology Spending
• AI Strategy
• Legacy System Modernization
• Integrated Capability Ecosystems
• AI Governance

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

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