Production AI agent runtime, observability, and cost control

Production AI agent runtime, observability, and cost control targets a $9.6B = 800,000 developer orgs x $1,000/mo x 12, total addressable market for developer-targeted agent runtimes and observability total addressable market with medium saturation and a year-over-year growth rate of 40% to 60% growth expected as agent use cases expand across automation and customer workflows.

Key trends driving demand: Agent frameworks adoption -- many teams prototype with LangChain and LlamaIndex, creating demand for production runtimes and hardened deployments; Multi-LLM strategy -- teams avoid single-vendor lock-in and need a policy layer to route calls for cost and latency, driving demand for management tooling; Vector database standardization -- hosted vector DBs reduce infra friction, enabling integrated runtimes that assume vector storage availability.