Reduce costly LLM incidents with telemetry-first AI observability & tracing

Reduce costly LLM incidents with telemetry-first AI observability & tracing targets a $30.0B = 50,000 enterprises x $600K ACV (full global observability + AI-ops potential spend) total addressable market with medium saturation and a year-over-year growth rate of 30%+ adoption growth for AI-specific observability as LLM use rises.

Key trends driving demand: LLM proliferation -- exponential growth in production LLM apps increases need for runtime visibility and cost control.; Standardized telemetry -- OpenTelemetry 1.20 and LangChain SDKs reduce integration friction and enable consistent traces across vendors.; Cost scrutiny -- rising inference costs push engineering and FinOps teams to instrument prompt-level cost attribution.; Regulatory/compliance pressure -- data lineage and reproducibility requirements force firms to capture model inputs/outputs and explainability traces..