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PUBLISHER: IDC | PRODUCT CODE: 2001225

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PUBLISHER: IDC | PRODUCT CODE: 2001225

Top Database Management Trends, Challenges, and Breakthroughs for 2025: How Vendors Are Shaping the Path to Agentic AI

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PAGES: 12 Pages
DELIVERY TIME: 1-2 business days
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This IDC Market Perspective summarizes the most notable database supplier initiatives completed in 2025 and explains how they collectively signal a shift from databases for AI experiments to databases for AI execution. Across the market in 2025, vendors expanded integrated vector search and hybrid retrieval, advanced converged access to real-time operational and analytical context, strengthened hybrid cloud and multicloud operating models, introduced early agent-aware tooling inside database platforms, and increased emphasis on automation and production-grade controls. Taken together, these moves reflect a market prioritizing predictable retrieval, lower data movement, and safer database-assisted actions as organizations push agentic AI into operational workflows."Last year, 2025, marked a point in which database innovation pivoted from adding AI features to operationalizing AI outcomes. Suppliers that make retrieval predictable, context continuous, and AI-assisted actions controllable inside the database management system (DBMS) will set the pace for agentic AI at scale," says Devin Pratt, research director, IDC

Product Code: US54089026

Executive snapshot

  • Key takeaways
  • Recommended actions

New market developments and dynamics

  • Introduction
  • Industry Dynamics
    • Integrated vector search becomes the baseline approach for enterprise AI retrieval
    • Converged workloads provide continuous context for real-time agents
    • Hybrid cloud and multicloud deployment becomes the operational baseline
    • Autonomous operations and agent-safe controls have moved into core DBMS road maps
    • Open table formats and catalog interoperability become strategic for database buyers
  • Adoption barriers and supplier implications for agentic AI on databases
    • Risk remains the top constraint
    • Data readiness determines speed to production
    • AI workloads increase cost and capacity volatility
    • Production agents raise reliability expectations
    • Operating model and skills gaps slow progress
  • Vendor Examples
  • Acquisitions and consolidation
  • Market strategies
  • Scenarios/use cases

IDC's Point of View

Advice for the technology supplier

Learn more

  • Related research
  • Synopsis
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