Your Database Just Became Your AI Control Point

Summary

Agentic AI transforms the database from a passive record store into an active control point that serves real-time context and enforces policy at the moment an agent acts. According to IDC’s April 2026 survey of 715 organizations, 30% already run agentic AI in production and another 50% have established spending plans. Real-time data delivery is now baseline: 64.6% of enterprise use cases require real-time or near-real-time delivery, and 91.2% of streaming scenarios need end-to-end latency under 200 milliseconds. IDC identifies four requirements for agentic AI: a real-time operational foundation for unstructured data, elastic scale for bursty agent traffic, accurate always-current retrieval via integrated vector databases, and a governed runtime with durable memory and identity-bound policy. By 2029, IDC predicts 60% of enterprise data platforms will unify transactional and analytical workloads in hybrid processing architectures to power agentic AI.

Takeaways

1. 1

   30% of organizations already run agentic AI in production, and 50% have established spending plans, per IDC’s April 2026 survey.

2. 2

   Real-time data delivery is required for 64.6% of enterprise use cases, and 91.2% of streaming scenarios need under 200ms latency.

3. 3

   IDC predicts that by 2029, 60% of enterprise data platforms will unify transactional and analytical workloads in hybrid processing architectures for agentic AI.

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