Detect agent failures and drift with observability, alerts, and root-cause tooling

Detect agent failures and drift with observability, alerts, and root-cause tooling targets a $6.0B = 200,000 businesses × $30,000 ACV total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — based on combined model monitoring, AIOps, and observability market growth estimates from industry analysts (IDC/MarketsandMarkets).

Key trends driving demand: Trend — Autonomous agents are moving from experiments to long-running production workflows, increasing the need for run-level visibility and debugging tools.; Trend — Enterprises demand cost attribution and automatic rollback for AI-driven automations to avoid surprise spend and compliance incidents.; Trend — Observability vendors are extending into ML/AI, creating opportunity for specialized agent-focused tooling that understands orchestration semantics.; Trend — Increasing regulatory and internal audit pressure is raising demand for immutable run logs and reproducible run-replay for incident investigations..