Datadog and Dynatrace Compete in the Emerging AI Agent Observability Market
As AI coding agents become more prevalent, they are generating new challenges for software monitoring. Companies like Datadog (NASDAQ:DDOG) and Dynatrace (NYSE:DT) are positioning themselves to capitalize on this shift by offering observability solutions tailored to autonomous systems. At the Goldman Sachs Communacopia + Technology Conference in September 2026, Datadog highlighted its progress with AI-agent monitoring, noting thousands of customers already using these capabilities as part of an emerging 'inference economy.' Meanwhile, Dynatrace launched a Cursor Marketplace plugin that integrates production telemetry directly into agent workflows. Datadog reported strong second-quarter growth, including 36% revenue increase and expansion in its customer base. Its usage-based pricing model is well-suited to capture growing AI activity volumes. In contrast, Dynatrace has seen slower overall growth but recently achieved a $200 million annualized log-consumption figure by shifting toward data consumption-based pricing for Cursor integration. Both companies face risks related to optimization and potential reductions in monitoring needs as agents become more capable. Hedge fund interest increased slightly during Q2 2026, with DDOG held by 92 funds compared to 80 the previous quarter. DT also saw a rise from 46 to 48 holders. The key question remains whether AI agents will reduce monitoring needs or expand observability into a larger machine-to-machine market.
Topics: AI agents Datadog Dynatrace market competition observability tools