What is IT Operations Analytic?

The IT Operations Analytics (ITOA) Market focuses on leveraging advanced analytics, AI, and machine learning to optimize, automate, and predict IT infrastructure performance. Unlike traditional monitoring, ITOA transforms fragmented IT data into unified, actionable intelligence that accelerates decision-making, minimizes downtime, and enhances digital resilience.

ITOA’s disruptive impact lies in its ability to introduce new autonomous operations (AIOps), make incident management easy via predictive insights, ensure safe IT environments through anomaly detection, and address big data challenges by integrating cross-domain telemetry in real-time.

Market Size:

IT Operations Analytics (ITOA) Market was valued at USD 25.8 billion in 2024 and is projected to reach a market size of USD 194.28 billion by 2030 at a CAGR of 40%.

Key Companies:

•    IBM (US)
•    Oracle (US)
•    Microsoft (US)
•    Broadcom (US)
•    Dynatrace (US)
•    SolarWinds (US)
•    BMC Software (US)
•    NetApp (US)
•    Elastic (US)
•    New Relic (US)
•    HCL Technologies (India)
•    ServiceNow (US)
•    Dell Technologies (US)
•    HPE (US)
•    Cisco (US)
•    Cloud Software Group (US)

Case Study:

Dynatrace enabled a leading telecom provider to shift from reactive monitoring to proactive AI-driven observability, reducing MTTR by 58% and enhancing customer digital experience KPIs.

Popularity & Key Statistics:

•    70% of large enterprises adopt ITOA as part of their AIOps strategy.
•    Significant rise in hybrid cloud observability demand.
•    Accelerating IT skill shortage pushing demand for automated ITOA tools.

Market Segmentation:

By Type

•    Solution Type
o    Root Cause Analysis
o    Predictive Analytics
o    Real-time Analytics
o    Behavior Analytics
o    Visual Analytics
o    Application Performance Management (APM)
o    Log Management and Analytics
o    Network Analytics
o    Infrastructure Analytics
o    Cloud Monitoring and Analytics
o    Capacity Planning and Optimization

•    Deployment Mode
o    On-Premise
o    Cloud-based

•    Technology
o    Machine Learning & Artificial Intelligence
o    Big Data Analytics
o    Natural Language Processing
o    Event Correlation and Analysis
o    Statistical Algorithms

By End User

•    BFSI (Banking, Financial Services, and Insurance)
o    Banking Operations
o    Financial Transactions Monitoring
o    Risk & Compliance Analytics

•    IT and Telecom
o    Network Performance Monitoring
o    Data Center Management
o    Incident Management

•    Retail and E-commerce
o    IT Infrastructure Monitoring
o    Customer Experience Optimization
o    Digital Operations Analytics

•    Healthcare and Life Sciences
o    Health IT System Monitoring
o    Clinical Data Performance Analytics
o    Hospital IT Operations

•    Manufacturing
o    Smart Factory Systems
o    IoT-based Operational Monitoring
o    IT Asset Optimization

•    Government and Public Sector
o    e-Governance Systems Monitoring
o    Cybersecurity Operations
o    Public Service Application Management

•    Energy and Utilities
o    Grid and Metering Systems Monitoring
o    SCADA System Analysis
o    IT Operations in Utility Networks

•    Others
o    Education
o    Media & Entertainment
o    Transportation & Logistics

What’s in It for You?

•    Pinpoint revenue opportunities in AI-led operations and observability platforms.
•    Benchmark competitive shifts in autonomous IT operations models.
•    Assess vendor alliances driving integrated ITSM, AIOps, and ITOA convergence.
•    Uncover adjacent growth plays in cloud-native, DevOps, and SRE ecosystems.