Region:Global
Author(s):Dev
Product Code:KRAA2577
Pages:98
Published On:August 2025

By Type:

The AIOps market is segmented into five types: Network AIOps, Application AIOps, Infrastructure AIOps, Security AIOps, and Others. Among these, Application AIOps is the leading sub-segment, driven by the increasing need for application performance monitoring, user experience optimization, and rapid incident response. Organizations are prioritizing Application AIOps to ensure seamless digital services and minimize disruptions. Network AIOps is also expanding as enterprises seek to optimize network performance and reduce service outages. Security AIOps is gaining momentum due to heightened cybersecurity risks and the need for automated threat detection and response .
By End-User:

The AIOps market is segmented by end-user into IT Services, Telecommunications, Financial Services, Healthcare, Manufacturing, Retail, Government & Public Sector, and Others. IT Services remains the dominant segment as organizations increasingly rely on AIOps to manage complex, hybrid IT environments and deliver high service levels. Telecommunications is a significant end-user, with AIOps enabling real-time network monitoring and automated incident management. The Financial Services sector is experiencing robust growth, propelled by regulatory compliance requirements and the need for advanced cybersecurity and operational resilience .
The Global AIOps Market is characterized by a dynamic mix of regional and international players. Leading participants such as IBM Corporation, Splunk Inc., Moogsoft Inc., Dynatrace LLC, Micro Focus International plc, BMC Software Inc., ServiceNow Inc., Cisco Systems Inc., PagerDuty Inc., New Relic Inc., Elastic N.V., AppDynamics LLC (Cisco), Zenoss Inc., OpsRamp Inc., BigPanda Inc., Broadcom Inc. (CA Technologies), HCL Technologies Ltd., Dell Technologies Inc., Amazon Web Services, Inc. (AWS), Microsoft Corporation contribute to innovation, geographic expansion, and service delivery in this space.
The future of the AIOps market is poised for significant transformation, driven by advancements in AI and machine learning technologies. As organizations increasingly prioritize automation and real-time data processing, the demand for AIOps solutions will continue to grow. Additionally, the shift towards multi-cloud strategies will necessitate more sophisticated AIOps tools that can manage complex environments. Companies that invest in industry-specific solutions will likely gain a competitive edge, positioning themselves to capitalize on emerging trends and technologies in the AIOps landscape.
| Segment | Sub-Segments |
|---|---|
| By Type | Network AIOps Application AIOps Infrastructure AIOps Security AIOps Others |
| By End-User | IT Services Telecommunications Financial Services Healthcare Manufacturing Retail Government & Public Sector Others |
| By Deployment Mode | On-Premises Cloud-Based Hybrid |
| By Component | Platform Services |
| By Application | IT Operations Management Performance Monitoring Anomaly Detection Event Correlation & Analysis Incident Management Root Cause Analysis Others |
| By Organization Size | Large Enterprises Small & Medium Enterprises (SMEs) |
| By Industry Vertical | BFSI Healthcare & Life Sciences Retail & E-commerce Manufacturing IT & Telecom Government & Defense Energy & Utilities Others |
| Scope Item/Segment | Sample Size | Target Respondent Profiles |
|---|---|---|
| Enterprise AIOps Implementation | 100 | IT Operations Managers, CIOs |
| Cloud-based AIOps Solutions | 60 | Cloud Architects, DevOps Engineers |
| AIOps in Financial Services | 50 | Risk Management Officers, IT Security Heads |
| Healthcare AIOps Applications | 40 | Healthcare IT Directors, Data Analysts |
| Retail Sector AIOps Adoption | 45 | Supply Chain Managers, E-commerce Directors |
The Global AIOps Market is valued at approximately USD 12.3 billion, reflecting a significant growth trend driven by the increasing complexity of IT environments and the demand for automation and real-time analytics in IT operations.