Agent ops and orchestration - manage, monitor, and govern AI agents

Agent ops and orchestration - manage, monitor, and govern AI agents targets a $8.0B = 4.0M developer orgs x $2,000 ACV (enterprise and SMB teams that build or run agents) total addressable market with low saturation and a year-over-year growth rate of 40%+ driven by LLM adoption in developer workflows and multi-agent apps.

Key trends driving demand: LLM agentization -- more developer teams replace hand-coded scripts with autonomous agents, increasing need for orchestration; Shift to production usage -- agents are run daily in workflows creating operational burdens and observability needs; Open frameworks and ecosystems -- open-source agent frameworks accelerate experimentation but leave a gap for production-grade ops; Consolidation of tooling -- teams prefer integrated observability, governance, and orchestration to avoid cognitive overload.