Persistent AI-agent memory — hybrid retrieval + summarized long-term store

Persistent AI-agent memory — hybrid retrieval + summarized long-term store targets a $30.0B = 250,000 mid+large enterprises x $120K ACV total addressable market with low saturation and a year-over-year growth rate of 35%+ (composite AI developer tools and vector database adoption).

Key trends driving demand: Agentification of workflows -- more teams are embedding autonomous agents into product and ops, which requires persistent context.; RAG + vector DB maturity -- hosted vector databases and managed embeddings remove infra friction for memory layers.; Token-cost optimization -- summarization and selective retrieval reduce LLM cost, making memory solutions immediately ROI-positive.; Privacy & governance emphasis -- enterprises prefer a memory layer with access controls, retention policies, and provenance for compliance..