Persistent agent memory layer - long term context, retrieval, and summarization

Persistent agent memory layer - long term context, retrieval, and summarization targets a $12.0B = 400,000 mid-market and enterprise orgs x $30,000 ACV. Assumes broad enterprise adoption of agent infrastructure and memory as a platform component. total addressable market with medium saturation and a year-over-year growth rate of 30-50% growth in demand for agent infrastructure over next 3 years based on uptake of agent frameworks and vector DB usage.

Key trends driving demand: Agent adoption -- more teams are building autonomous workflows that require persistent state across sessions, increasing demand for memory services.; Vector DB commoditization -- managed vector stores make retrieval cheap and reliable, letting memory layers focus on summarization and lifecycle.; Embedding standardization -- standardized embedding APIs reduce vendor lock-in and let memory layers interoperate across LLM vendors..