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Global AIOps Market

The global AIOps market, valued at USD 12.3 billion, is driven by rising IT complexity and demand for real-time analytics, with key growth in application and IT services segments.

Region:Global

Author(s):Dev

Product Code:KRAA2577

Pages:98

Published On:August 2025

About the Report

Base Year 2024

Global AIOps Market Overview

  • The Global AIOps Market is valued at USD 12.3 billion, based on a five-year historical analysis. This growth is primarily driven by the escalating complexity of IT environments, the proliferation of cloud computing and IoT devices, and the rising demand for automation and real-time analytics in IT operations. Organizations are increasingly adopting AIOps solutions to enhance operational efficiency, automate repetitive tasks, reduce downtime, and enable proactive issue resolution through advanced analytics and machine learning technologies .
  • The United States, China, and Germany are the leading markets for AIOps, supported by advanced digital infrastructure, significant investments in IT modernization, and a high concentration of major AIOps vendors. These countries are at the forefront of digital transformation, leveraging AIOps to manage increasingly distributed, hybrid, and multi-cloud environments, and to address the growing volume and complexity of IT data .
  • The Digital Operational Resilience Act (DORA), issued by the European Union in 2023, mandates that financial entities implement robust measures to ensure the resilience of their IT systems against cyber threats. DORA establishes requirements for risk management, incident reporting, digital operational resilience testing, and third-party risk oversight, making AIOps platforms increasingly essential for compliance and operational continuity in the financial sector .
Global AIOps Market Size

Global AIOps Market Segmentation

By Type:

Global AIOps Market segmentation 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:

Global AIOps Market segmentation 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 .

Global AIOps Market Competitive Landscape

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.

IBM Corporation

1911

Armonk, New York, USA

Splunk Inc.

2003

San Francisco, California, USA

Moogsoft Inc.

2012

San Francisco, California, USA

Dynatrace LLC

2005

Waltham, Massachusetts, USA

Micro Focus International plc

1976

Newbury, England

Company

Establishment Year

Headquarters

Group Size (Large, Medium, or Small as per industry convention)

Revenue Growth Rate

Market Share in AIOps Segment

Number of Enterprise Customers

Customer Acquisition Cost

Customer Retention Rate

Global AIOps Market Industry Analysis

Growth Drivers

  • Increasing IT Complexity:The rapid evolution of IT infrastructure, with over 70% of organizations reporting increased complexity in their systems, drives the demand for AIOps solutions. According to the World Economic Forum, the number of connected devices is expected to reach 30 billion in future, necessitating advanced monitoring and management tools. This complexity leads to a greater need for automated solutions that can analyze vast amounts of data in real-time, enhancing operational efficiency and reducing downtime.
  • Demand for Operational Efficiency:Businesses are increasingly focused on improving operational efficiency, with 60% of IT leaders prioritizing automation in their strategies. A report by McKinsey indicates that companies implementing AIOps can reduce incident resolution times by up to 50%. This efficiency not only lowers operational costs but also enhances service delivery, making AIOps a critical component in achieving business objectives and maintaining competitive advantage in a fast-paced market.
  • Rise in Cloud Adoption:The global cloud services market is projected to reach $832 billion in future, with a significant portion attributed to the adoption of AIOps. As organizations migrate to cloud environments, they face challenges in managing hybrid infrastructures. According to Gartner, 80% of enterprises will adopt a multi-cloud strategy in future, creating a demand for AIOps solutions that can seamlessly integrate and optimize operations across diverse cloud platforms, ensuring scalability and flexibility.

Market Challenges

  • Data Privacy Concerns:With the increasing reliance on data-driven decision-making, data privacy has become a significant challenge. According to the International Association of Privacy Professionals, 79% of consumers express concerns about how their data is used. Compliance with regulations such as GDPR and CCPA adds complexity to AIOps implementations, as organizations must ensure that their solutions adhere to stringent data protection standards while still delivering actionable insights.
  • Integration with Legacy Systems:Many organizations still rely on legacy systems, which can hinder the adoption of AIOps technologies. A study by Deloitte found that 60% of IT departments face challenges integrating new technologies with existing systems. This integration complexity can lead to increased costs and extended timelines for AIOps deployment, limiting the potential benefits of automation and real-time analytics in enhancing operational efficiency.

Global AIOps Market Future Outlook

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.

Market Opportunities

  • Growth in AI and Machine Learning Technologies:The global AI market is expected to reach $190 billion in future, presenting a substantial opportunity for AIOps providers. As AI technologies advance, they will enable more sophisticated analytics and automation capabilities, allowing organizations to enhance their operational efficiency and decision-making processes significantly.
  • Expansion of Managed Services:The managed services market is projected to grow to $500 billion in future, creating opportunities for AIOps solutions. As businesses increasingly outsource IT management, AIOps can provide the necessary tools to optimize service delivery, improve incident response times, and enhance overall customer satisfaction, making it an attractive proposition for managed service providers.

Scope of the Report

SegmentSub-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

Key Target Audience

Investors and Venture Capitalist Firms

Government and Regulatory Bodies (e.g., Federal Communications Commission, National Institute of Standards and Technology)

IT Service Management Providers

Cloud Service Providers

Telecommunications Companies

Cybersecurity Firms

Data Center Operators

Enterprise Resource Planning (ERP) Software Vendors

Players Mentioned in the Report:

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

Table of Contents

Market Assessment Phase

1. Executive Summary and Approach


2. Global AIOps Market Overview

2.1 Key Insights and Strategic Recommendations

2.2 Global AIOps Market Overview

2.3 Definition and Scope

2.4 Evolution of Market Ecosystem

2.5 Timeline of Key Regulatory Milestones

2.6 Value Chain & Stakeholder Mapping

2.7 Business Cycle Analysis

2.8 Policy & Incentive Landscape


3. Global AIOps Market Analysis

3.1 Growth Drivers

3.1.1 Increasing IT Complexity
3.1.2 Demand for Operational Efficiency
3.1.3 Rise in Cloud Adoption
3.1.4 Need for Enhanced Security Measures

3.2 Market Challenges

3.2.1 Data Privacy Concerns
3.2.2 Integration with Legacy Systems
3.2.3 Skill Shortages in AI Technologies
3.2.4 High Implementation Costs

3.3 Market Opportunities

3.3.1 Growth in AI and Machine Learning Technologies
3.3.2 Expansion of Managed Services
3.3.3 Increasing Demand for Predictive Analytics
3.3.4 Development of Industry-Specific Solutions

3.4 Market Trends

3.4.1 Shift Towards Automation
3.4.2 Increased Focus on User Experience
3.4.3 Adoption of Multi-Cloud Strategies
3.4.4 Emphasis on Real-Time Data Processing

3.5 Government Regulation

3.5.1 Data Protection Regulations
3.5.2 Compliance with Industry Standards
3.5.3 Cybersecurity Frameworks
3.5.4 Support for AI Research and Development

4. SWOT Analysis


5. Stakeholder Analysis


6. Porter's Five Forces Analysis


7. Global AIOps Market Market Size, 2019-2024

7.1 By Value

7.2 By Volume

7.3 By Average Selling Price


8. Global AIOps Market Segmentation

8.1 By Type

8.1.1 Network AIOps
8.1.2 Application AIOps
8.1.3 Infrastructure AIOps
8.1.4 Security AIOps
8.1.5 Others

8.2 By End-User

8.2.1 IT Services
8.2.2 Telecommunications
8.2.3 Financial Services
8.2.4 Healthcare
8.2.5 Manufacturing
8.2.6 Retail
8.2.7 Government & Public Sector
8.2.8 Others

8.3 By Deployment Mode

8.3.1 On-Premises
8.3.2 Cloud-Based
8.3.3 Hybrid

8.4 By Component

8.4.1 Platform
8.4.2 Services

8.5 By Application

8.5.1 IT Operations Management
8.5.2 Performance Monitoring
8.5.3 Anomaly Detection
8.5.4 Event Correlation & Analysis
8.5.5 Incident Management
8.5.6 Root Cause Analysis
8.5.7 Others

8.6 By Organization Size

8.6.1 Large Enterprises
8.6.2 Small & Medium Enterprises (SMEs)

8.7 By Industry Vertical

8.7.1 BFSI
8.7.2 Healthcare & Life Sciences
8.7.3 Retail & E-commerce
8.7.4 Manufacturing
8.7.5 IT & Telecom
8.7.6 Government & Defense
8.7.7 Energy & Utilities
8.7.8 Others

9. Global AIOps Market Competitive Analysis

9.1 Market Share of Key Players

9.2 Cross Comparison of Key Players

9.2.1 Company Name
9.2.2 Group Size (Large, Medium, or Small as per industry convention)
9.2.3 Revenue Growth Rate
9.2.4 Market Share in AIOps Segment
9.2.5 Number of Enterprise Customers
9.2.6 Customer Acquisition Cost
9.2.7 Customer Retention Rate
9.2.8 Average Deal Size
9.2.9 Market Penetration Rate
9.2.10 Pricing Strategy
9.2.11 Product Innovation Index
9.2.12 Time to Detect & Resolve Incidents
9.2.13 Customer Satisfaction Score (NPS/CSAT)
9.2.14 Global Geographic Reach

9.3 SWOT Analysis of Top Players

9.4 Pricing Analysis

9.5 Detailed Profile of Major Companies

9.5.1 IBM Corporation
9.5.2 Splunk Inc.
9.5.3 Moogsoft Inc.
9.5.4 Dynatrace LLC
9.5.5 Micro Focus International plc
9.5.6 BMC Software Inc.
9.5.7 ServiceNow Inc.
9.5.8 Cisco Systems Inc.
9.5.9 PagerDuty Inc.
9.5.10 New Relic Inc.
9.5.11 Elastic N.V.
9.5.12 AppDynamics LLC (Cisco)
9.5.13 Zenoss Inc.
9.5.14 OpsRamp Inc.
9.5.15 BigPanda Inc.
9.5.16 Broadcom Inc. (CA Technologies)
9.5.17 HCL Technologies Ltd.
9.5.18 Dell Technologies Inc.
9.5.19 Amazon Web Services, Inc. (AWS)
9.5.20 Microsoft Corporation

10. Global AIOps Market End-User Analysis

10.1 Procurement Behavior of Key Ministries

10.1.1 Budget Allocation Trends
10.1.2 Decision-Making Processes
10.1.3 Vendor Selection Criteria

10.2 Corporate Spend on Infrastructure & Energy

10.2.1 Investment Priorities
10.2.2 Spending Patterns
10.2.3 Cost-Benefit Analysis

10.3 Pain Point Analysis by End-User Category

10.3.1 Common Operational Challenges
10.3.2 Technology Adoption Barriers
10.3.3 Support and Maintenance Issues

10.4 User Readiness for Adoption

10.4.1 Training and Skill Development Needs
10.4.2 Change Management Strategies
10.4.3 Technology Familiarity Levels

10.5 Post-Deployment ROI and Use Case Expansion

10.5.1 Performance Metrics Tracking
10.5.2 Use Case Diversification
10.5.3 Long-Term Value Realization

11. Global AIOps Market Future Size, 2025-2030

11.1 By Value

11.2 By Volume

11.3 By Average Selling Price


Go-To-Market Strategy Phase

1. Whitespace Analysis + Business Model Canvas

1.1 Market Gaps Identification

1.2 Value Proposition Development

1.3 Revenue Streams Analysis

1.4 Cost Structure Evaluation

1.5 Key Partnerships Exploration

1.6 Customer Segmentation

1.7 Channels of Distribution


2. Marketing and Positioning Recommendations

2.1 Branding Strategies

2.2 Product USPs


3. Distribution Plan

3.1 Urban Retail Strategies

3.2 Rural NGO Tie-Ups


4. Channel & Pricing Gaps

4.1 Underserved Routes

4.2 Pricing Bands Analysis


5. Unmet Demand & Latent Needs

5.1 Category Gaps

5.2 Consumer Segments


6. Customer Relationship

6.1 Loyalty Programs

6.2 After-Sales Service


7. Value Proposition

7.1 Sustainability Initiatives

7.2 Integrated Supply Chains


8. Key Activities

8.1 Regulatory Compliance

8.2 Branding Efforts

8.3 Distribution Setup


9. Entry Strategy Evaluation

9.1 Domestic Market Entry Strategy

9.1.1 Product Mix Considerations
9.1.2 Pricing Band Strategy
9.1.3 Packaging Options

9.2 Export Entry Strategy

9.2.1 Target Countries
9.2.2 Compliance Roadmap

10. Entry Mode Assessment

10.1 Joint Ventures

10.2 Greenfield Investments

10.3 Mergers & Acquisitions

10.4 Distributor Model


11. Capital and Timeline Estimation

11.1 Capital Requirements

11.2 Timelines for Implementation


12. Control vs Risk Trade-Off

12.1 Ownership Considerations

12.2 Partnerships Evaluation


13. Profitability Outlook

13.1 Breakeven Analysis

13.2 Long-Term Sustainability


14. Potential Partner List

14.1 Distributors

14.2 Joint Ventures

14.3 Acquisition Targets


15. Execution Roadmap

15.1 Phased Plan for Market Entry

15.1.1 Market Setup
15.1.2 Market Entry
15.1.3 Growth Acceleration
15.1.4 Scale & Stabilize

15.2 Key Activities and Milestones

15.2.1 Milestone Planning
15.2.2 Activity Tracking

Research Methodology

ApproachModellingSample

Phase 1: Approach1

Desk Research

  • Analysis of industry reports from leading market research firms focusing on AIOps trends
  • Review of white papers and case studies published by technology vendors in the AIOps space
  • Examination of market statistics and forecasts from reputable databases and industry associations

Primary Research

  • Interviews with IT operations managers and AIOps practitioners across various industries
  • Surveys targeting decision-makers in organizations implementing AIOps solutions
  • Focus group discussions with technology consultants specializing in AI and operations management

Validation & Triangulation

  • Cross-validation of findings through multiple data sources, including vendor reports and user feedback
  • Triangulation of qualitative insights from interviews with quantitative data from surveys
  • Sanity checks conducted through expert panel reviews and industry roundtables

Phase 2: Market Size Estimation1

Top-down Assessment

  • Estimation of the global AIOps market size based on overall IT spending trends
  • Segmentation of the market by industry verticals such as finance, healthcare, and retail
  • Incorporation of growth rates from emerging technologies and digital transformation initiatives

Bottom-up Modeling

  • Analysis of revenue data from leading AIOps solution providers and their market share
  • Estimation of adoption rates of AIOps tools across different organizational sizes
  • Calculation of potential market size based on the number of enterprises and their IT budgets

Forecasting & Scenario Analysis

  • Multi-variable forecasting using factors such as cloud adoption rates and AI advancements
  • Scenario analysis based on varying levels of regulatory compliance and data privacy concerns
  • Development of baseline, optimistic, and pessimistic market growth projections through 2030

Phase 3: CATI Sample Composition1

Scope Item/SegmentSample SizeTarget Respondent Profiles
Enterprise AIOps Implementation100IT Operations Managers, CIOs
Cloud-based AIOps Solutions60Cloud Architects, DevOps Engineers
AIOps in Financial Services50Risk Management Officers, IT Security Heads
Healthcare AIOps Applications40Healthcare IT Directors, Data Analysts
Retail Sector AIOps Adoption45Supply Chain Managers, E-commerce Directors

Frequently Asked Questions

What is the current value of the Global AIOps Market?

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.

What factors are driving the growth of the AIOps market?

Which countries are leading in the AIOps market?

What is the significance of the Digital Operational Resilience Act (DORA) for AIOps?

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