The AIOps market was valued at $5.96 billion in 2025 and is expected to reach $20.43 billion by 2035, registering a CAGR of 13.2% over the forecast period from 2026 to 2035. The integration of AI?driven observability and AIOps capabilities is becoming a foundational driver for the global AIOps market, as enterprises seek to reduce operational toil and improve system reliability across increasingly complex hybrid and multi?cloud environments. Organizations deploying AIOps tools gain greater visibility into real?time telemetry data, enabling faster detection and automated correlation of alerts, which shortens incident resolution cycles and supports higher development throughput. This shift from reactive monitoring to predictive operations is pushing IT leaders to consolidate observability platforms and invest in unified solutions that scale with business requirements. The result is measurable improvement in operational performance and an evolving baseline for IT operations that underpins broader digital transformation goals.
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According to data from New?Relic’s 2026 AI Impact Report, teams using AI?enabled observability features shipped code at about 80% higher frequency on average compared with non?AI users in 2025, highlighting the productivity impact of AI?strengthened operations. Users of these capabilities also resolved issues on average 25% faster than peers without AI support, driven by automated signal correlation and noise reduction in alert streams. Observability adoption surveys further show that AI monitoring deployment grew from 42% in 2024 to 54% in 2025, indicating a rapid shift from experimentation to operational use of AI within observability practices.
Market Coverage
Key questions addressed by the report.
Global AIOps Market Report Segment
By Deployment Mode
By Services
By Vertical
Global AIOps Market Report Segment by Region
North America
Europe
Asia-Pacific
Rest of the World
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