Observability for multi-agent systems - automated RCA and closed-loop fixes

Observability for multi-agent systems - automated RCA and closed-loop fixes targets a $4.8B = 200,000 engineering orgs x $2,000/mo x 12. Assumes large and mid-market software orgs adopt an agent observability SKU at $2k/mo. total addressable market with medium saturation and a year-over-year growth rate of 30-45% annual growth in observability and AIOps budgets driven by AI adoption and cloud spend.

Key trends driving demand: Multi-agent adoption -- creates new, structured telemetry (conversations, tool calls, decisions) that legacy APM lacks.; AIOps and LLM tooling -- enables automated root-cause analysis and suggested fixes from trace sequences.; Shift to telemetry-as-data -- teams already export conversation logs and model outputs, enabling ML-driven insights across runs.; Cost pressure on model usage -- organizations need tools to detect and prevent costly model misuse and repeated failed runs..