The IT Operations Analytics Market size was valued at US$ 22.84 billion in 2024 and is expected to reach US$ 117.17 billion by 2031; it is estimated to record a CAGR of 26.3% from 2025 to 2031.

Modern IT environments are evolving into sprawling, hybrid ecosystems that span on-premises data centers, multi-cloud platforms, container orchestration, edge devices, and distributed microservices. The proliferation of microservice architectures and Kubernetes clusters means hundreds, even thousands-of independent components and ephemeral instances must be monitored and correlated to maintain performance and reliability. Each of these components generates massive volumes of telemetry-metrics, logs, traces-that traditional monitoring tools cannot manage effectively. As a result, visibility gaps and fragmented data lead to slower incident response, alert fatigue, and operational blind spots.

Organizations increasingly recognize that scale and dynamism demand more than static thresholds or dashboards-they require observability. Observability platforms integrated with AIOps (Artificial Intelligence for IT Operations) help teams make sense of data overload by intelligently correlating events, detecting anomalies, and automating root cause analysis across distributed layers. As described in Cisco's observability research, the primary driver for adoption is cloud complexity-multicloud configurations, hybrid environments, and microservice-based applications introduce constant change and fragmentation, and observability tools are emerging as the essential response.

For enterprises running AI workloads, complexity rises further: distributed GPU clusters, edge devices, and high-velocity data pipelines require real-time monitoring of resource utilization, latency, and system bottlenecks to ensure performance and reliability. ITOA platforms equipped with AI/ML can correlate infrastructure behavior to service-level outcomes, enabling proactive issue resolution and strategic IT decision-making. Moreover, academic industry studies confirm that DevOps teams view observability as a prerequisite for operating distributed systems successfully. Without it, teams cannot efficiently manage service interdependencies, evolving deployments, or performance variances driven by continuous delivery and scaling. In short, the growing complexity of modern IT-driven by hybrid cloud, microservices, edge computing, and AI workloads-is undeniably accelerating demand for intelligent analytics capabilities in the ITOA market.

North America held the largest market share in 2024, followed by Europe and Asia Pacific. Further, APAC is expected to register the highest CAGR in the market from 2025 to 2030. The Asia Pacific region is experiencing rapid growth in the IT operations analytics market, fueled by accelerating cloud adoption, smart infrastructure initiatives, and large-scale digital transformation across emerging and developed economies. Countries such as China, India, Japan, South Korea, Singapore, and Australia are major contributors, each with different drivers. In India and Southeast Asia, startups and telecom firms are implementing ITOA tools to support large-scale, mobile-first consumer platforms. Meanwhile, countries like Japan and South Korea invest in ITOA as part of broader Industry 4.0 and smart city strategies. The region's diversity in digital maturity creates a wide range of use cases-from basic log analytics to full-stack AIOps and real-time anomaly detection. Regulatory frameworks are evolving, influencing adoption pace, particularly in sectors like banking, healthcare, and public services. Language localization, low-latency performance, and regional cloud infrastructure availability are essential for solution providers aiming to scale in this dynamic and varied market.

International Business Machines Corp, Cisco Systems Inc, Oracle Corp, Dynatrace LLC, BMC Software, Inc., Microsoft Corp, Open Text Corp, New Relic Inc, Broadcom Inc, and ServiceNow Inc are among the key IT operations analytics market players that are profiled in this market study.

The overall IT operations analytics market size has been derived using both primary and secondary sources. Exhaustive secondary research has been conducted using internal and external sources to obtain qualitative and quantitative information related to the IT operations analytics market size. The process also helps obtain an overview and forecast of the market with respect to all the market segments. Also, multiple primary interviews have been conducted with industry participants to validate the data and gain analytical insights. This process includes industry experts such as VPs, business development managers, market intelligence managers, and national sales managers, along with external consultants such as valuation experts, research analysts, and key opinion leaders, specializing in the IT operations analytics market.