New Relic Named a Leader in the 2026 IDC MarketScape
New Relic, the Intelligent Observability company, has today announced that it is recognized as a Leader in the IDC MarketScape: Worldwide AIOps 2026 Vendor Assessment (Doc #US54116226, March 2026).
The acknowledgment comes after a thorough assessment of New Relic’s abilities and approaches, which the company asserts underscores its achievement in providing an operational decision framework that links telemetry straight to business results.
This follows further acknowledgment from IDC, which designated the company as a Leader in both the IDC MarketScape: Worldwide Observability Software 2025 Vendor Assessment and the IDC MarketScape: Asia Pacific AIOps Software Platforms 2025 Vendor Assessment.
Brian Emerson, Chief Product Officer at New Relic says, “We believe being named a Leader by the IDC MarketScape is a testament to our team’s steadfast innovation in agentic AI and our foundational support for open standards. In the AI era, organizations must solve problems beyond human scale. By embedding AI-strengthened remediation and intelligent workflows directly into our platform, we empower our customers to transition from reactive firefighting to intelligent orchestration, ensuring that every technical decision drives a true business impact.”
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An IDC report states that the count of active AI agents will rise to more than 1 billion by 2029—a 40 times rise from 2025. Given the vast complexity of digital systems today, a fundamental reevaluation of IT operations is required; AIOps has evolved from basic automation to an advanced “decision environment.”
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The IDC MarketScape emphasizes that human-in-the-loop controls, approval checkpoints, and sample workflows for automated rollbacks illustrate how teams can merge swift automation with clear authorization and post-change validation practices.
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The report additionally mentioned, “Agentic integrations automatically fill ServiceNow tickets and GitHub or IDE-based tools with contextual suggestions based on runbooks through retrieval-augmented generation. This method combines human knowledge with machine reasoning, integrating smart workflows seamlessly into current engineering tools and practices.