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Datadog Named a Leader in AIOps Platforms Research

Datadog Named a Leader in AIOps Platforms Research

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Received the highest score possible in eleven criteria, including Innovation, Roadmap and ModelOps and AI Governance (sovereignty)

Datadog, Inc. (NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has been named a Leader in The Forrester Wave™: AIOps Platforms, Q4 2026.

Datadog is leading the shift from observability to autonomous operations, with one integrated platform where Bits AI detects, investigates and remediates, while engineers stay in control. Until recently, it was an engineer’s job to triage alerts, investigate issues and analyze root causes to find answers.

Forrester’s evaluation noted that Datadog’s roadmap is “ambitious, transparent, and committed to the continued delivery of advanced AI features.” Datadog’s Bits AI, for example, handles the work of finding and fixing issues, learning environments over time and applying past corrections to similar issues so investigations get more accurate with every incident.

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Customers trust Datadog as their AIOps platform, with Forrester reporting that customers “tend to expand use of the platform because they trust it, it’s easily accessible by engineers, and it delivers measurable value….”

“We believe Datadog’s recognition as a Leader in The Forrester Wave™: AIOps Platforms, 2026 reflects our leadership in the shift toward autonomous operations,” said Yanbing Li, Chief Product Officer at Datadog. “Our unified platform provides full-stack coverage across observability, security and AI workloads, enabling agentic operations for organizations that want to innovate rapidly. Bits AI recently surpassed 10,000 paying customers — a significant milestone that demonstrates how integral it is becoming to our customers’ operations. The launch of Scout 1.0, a new SRE model that powers Bits AI with frontier-level performance at a fraction of the cost, further underscores our commitment to building differentiated AIOps products.”

Datadog is moving teams from seeing problems to resolving them autonomously. Its unified observability and AIOps capabilities – powered by Bits AI that investigates and acts within defined guardrails – provide users with a single platform spanning infrastructure, security and AI workloads.

Datadog’s AIOps capabilities include:

  • Agentic operations with Bits AI surfacing critical signals, identifying root causes and suggesting remediation steps, with full visibility into how Bits AI reasons through every issue and comprehensive control over what it can act on.
  • Unified observability combines native OpenTelemetry ingestion, pipeline-level control over what gets collected and kept, and analytics on historical data without rehydration, resolved into a live map of services, dependencies and changes.
  • Native AI observability brings application monitoring, agent observability and digital experience into one continuous flow, so teams can investigate the same request from service activity and agent reasoning to customer impact.
  • Impact correlation ties frontend sessions to backend traces on a synchronized timeline and identifies the users affected during an incident, so teams prioritize by impact rather than alert volume.

Catch more CIO Insights: How Are CIOs Aligning Technology with Workforce Agility?

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