Datadog Named Leader in New AIOps Market Research
The company achieves top marks in AI governance and innovation as its Bits AI platform surpasses 10,000 paying users.
Updated on Oct. 29, 2026 in Artificial Intelligence
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Datadog has been named a leader in the Forrester AIOps platforms research report, receiving the highest possible score in 11 evaluation criteria. The company simultaneously confirmed that its Bits AI platform has surpassed 10,000 paying customers.
Why it matters
This recognition signals a maturation of automated IT operations, where platforms must now demonstrate proficiency in AI governance and model operations to maintain enterprise adoption at scale.
Datadog achieved top marks in 11 criteria including Innovation, Roadmap, ModelOps, and AI Governance. These results support a user base that has grown to over 10,000 paying customers for the Bits AI platform.
The players
Datadog
A cloud-scale monitoring and security platform that provides observability for developers, IT operations teams, and security engineers.
Forrester
A research and advisory firm that produces standardized market analysis reports evaluating enterprise technology providers.
The details
The Bits AI platform functions as a unified monitor that detects, investigates, and remediates infrastructure issues across cloud environments. It utilizes machine learning to continuously analyze environment states and apply learned corrections from historical data to current system failures. The platform recently introduced Scout 1.0, an SRE (Site Reliability Engineering) model designed to automate manual incident response tasks.
Timeline
October 29, 2026: Datadog announces its leader status in the research report.
Q4 2026: Datadog is formally named a leader in AIOps platforms.
The Tech Race
This leadership designation positions Datadog within the competitive ecosystem of AI-driven observability providers. The company must now demonstrate sustained performance against the evaluation benchmarks defined in The Forrester Wave report.
Organizations currently utilizing the Bits AI platform can leverage the newly launched Scout 1.0 model to automate SRE workflows. These updates apply to all existing users within the current Datadog observability stack.
The takeaway
The move toward AI-driven remediation is becoming a standard expectation for enterprise observability software. Users should watch for the next iteration of Scout models to see if the platform can maintain its current innovation scores in future evaluation periods.
Further reading
For more on the current landscape of automated infrastructure management, see Artificial Intelligence.
More information
View the Forrester AIOps platforms research report for full evaluation details.
Source note: This article includes information reported by The Manila times.
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