Chapter 1. Preface
1.1 Report Description and Scope
1.2 Research Scope
1.3 Research Methodology
1.3.1 Market Research Type
1.3.2 Market Research Methodology
Chapter 2. Executive Summary
2.1 Global AIOps Market, (2026 - 2035) (USD Billion)
2.2 Global AIOps Market: Snapshot
Chapter 3. Global AIOps Market - Industry Analysis
3.1 AIOps Market: Market Dynamics
3.2 Market Drivers
3.2.1 The market is driven by the exponential growth in IT data volumes across hybrid and multi-cloud environments, the critical need for automated incident response to reduce Mean Time to Repair (MTTR), and the increasing integration of Generative AI and LLMs to provide contextual, natural-language insights for complex IT operations.
3.3 Market Restraints
3.3.1 Expansion is limited by the high cost and complexity of integrating with legacy systems, a significant scarcity of skilled professionals proficient in both AI and IT operations, and persistent concerns over data privacy and regulatory compliance (such as GDPR) in highly sensitive industrial sectors.
3.4 Market Opportunities
3.4.1 Significant potential lies in the application of AIOps for AI-powered cybersecurity (SecOps), the optimization of 5G and edge computing networks through real-time distributed analytics, and the rising demand for affordable, cloud-native AIOps solutions among SMEs in emerging Asia-Pacific economies.
3.5 Market Challenges
3.5.1 Key hurdles include ensuring AI model accuracy to prevent "alert fatigue" caused by false positives, overcoming data silos that hinder cross-domain visibility, and defending against cybersecurity threats targeting AI algorithms, which could compromise the integrity of mission-critical IT infrastructure.
3.6 Porter’s Five Forces Analysis
3.7 Market Attractiveness Analysis
3.7.1 Market Attractiveness Analysis By Component
3.7.2 Market Attractiveness Analysis By Application
3.7.3 Market Attractiveness Analysis By Vertical
Chapter 4. Global AIOps Market- Competitive Landscape
4.1 Company Market Share Analysis
4.1.1 Global AIOps Market: Company Market Share, 2025
4.2 Strategic Development
4.2.1 Acquisitions & mergers
4.2.2 New Product launches
4.2.3 Agreements, partnerships, collaborations, and joint ventures
4.2.4 Research and development and regional expansion
4.3 Price Trend Analysis
Chapter 5. Global AIOps Market - Component Analysis
5.1 Global AIOps Market Overview: Component
5.1.1 Global AIOps Market share, By Component, 2025 and 2035
5.2 Platforms
5.2.1 Global AIOps Market by Platforms, 2026 - 2035 (USD Billion)
5.3 Services
5.3.1 Global AIOps Market by Services, 2026 - 2035 (USD Billion)
5.4 Consulting
5.4.1 Global AIOps Market by Consulting, 2026 - 2035 (USD Billion)
5.5 Implementation
5.5.1 Global AIOps Market by Implementation, 2026 - 2035 (USD Billion)
5.6 Managed Services
5.6.1 Global AIOps Market by Managed Services, 2026 - 2035 (USD Billion)
5.7 Training
5.7.1 Global AIOps Market by Training, 2026 - 2035 (USD Billion)
5.8 License
5.8.1 Global AIOps Market by License, 2026 - 2035 (USD Billion)
5.9 Maintenance
5.9.1 Global AIOps Market by Maintenance, 2026 - 2035 (USD Billion)
5.10 Integration
5.10.1 Global AIOps Market by Integration, 2026 - 2035 (USD Billion)
5.11 Automation Tools
5.11.1 Global AIOps Market by Automation Tools, 2026 - 2035 (USD Billion)
Chapter 6. Global AIOps Market - Application Analysis
6.1 Global AIOps Market Overview: Application
6.1.1 Global AIOps Market Share, By Application, 2025 and 2035
6.2 Real-Time Analytics
6.2.1 Global AIOps Market by Real-Time Analytics, 2026 - 2035 (USD Billion)
6.3 Infrastructure Management
6.3.1 Global AIOps Market by Infrastructure Management, 2026 - 2035 (USD Billion)
6.4 Network Management
6.4.1 Global AIOps Market by Network Management, 2026 - 2035 (USD Billion)
6.5 Security Management
6.5.1 Global AIOps Market by Security Management, 2026 - 2035 (USD Billion)
6.6 Application Performance Management
6.6.1 Global AIOps Market by Application Performance Management, 2026 - 2035 (USD Billion)
6.7 Predictive Maintenance
6.7.1 Global AIOps Market by Predictive Maintenance, 2026 - 2035 (USD Billion)
6.8 Anomaly Detection
6.8.1 Global AIOps Market by Anomaly Detection, 2026 - 2035 (USD Billion)
6.9 Root Cause Analysis
6.9.1 Global AIOps Market by Root Cause Analysis, 2026 - 2035 (USD Billion)
6.10 Capacity Planning
6.10.1 Global AIOps Market by Capacity Planning, 2026 - 2035 (USD Billion)
6.11 Incident Management
6.11.1 Global AIOps Market by Incident Management, 2026 - 2035 (USD Billion)
Chapter 7. Global AIOps Market - Vertical Analysis
7.1 Global AIOps Market Overview: Vertical
7.1.1 Global AIOps Market Share, By Vertical, 2025 and 2035
7.2 BFSI
7.2.1 Global AIOps Market by BFSI, 2026 - 2035 (USD Billion)
7.3 IT & Telecom
7.3.1 Global AIOps Market by IT & Telecom, 2026 - 2035 (USD Billion)
7.4 Healthcare
7.4.1 Global AIOps Market by Healthcare, 2026 - 2035 (USD Billion)
7.5 Retail
7.5.1 Global AIOps Market by Retail, 2026 - 2035 (USD Billion)
7.6 Government
7.6.1 Global AIOps Market by Government, 2026 - 2035 (USD Billion)
7.7 Manufacturing
7.7.1 Global AIOps Market by Manufacturing, 2026 - 2035 (USD Billion)
7.8 Media & Entertainment
7.8.1 Global AIOps Market by Media & Entertainment, 2026 - 2035 (USD Billion)
7.9 Energy & Utilities
7.9.1 Global AIOps Market by Energy & Utilities, 2026 - 2035 (USD Billion)
7.10 Transportation
7.10.1 Global AIOps Market by Transportation, 2026 - 2035 (USD Billion)
7.11 Education
7.11.1 Global AIOps Market by Education, 2026 - 2035 (USD Billion)
Chapter 8. AIOps Market - Regional Analysis
8.1 Global AIOps Market Regional Overview
8.2 Global AIOps Market Share, by Region, 2025 & 2035 (USD Billion)
8.3 North America
8.3.1 North America AIOps Market, 2026 - 2035 (USD Billion)
8.3.1.1 North America AIOps Market, by Country, 2026 - 2035 (USD Billion)
8.3.2 North America AIOps Market, by Component, 2026 - 2035
8.3.2.1 North America AIOps Market, by Component, 2026 - 2035 (USD Billion)
8.3.3 North America AIOps Market, by Application, 2026 - 2035
8.3.3.1 North America AIOps Market, by Application, 2026 - 2035 (USD Billion)
8.3.4 North America AIOps Market, by Vertical, 2026 - 2035
8.3.4.1 North America AIOps Market, by Vertical, 2026 - 2035 (USD Billion)
8.4 Europe
8.4.1 Europe AIOps Market, 2026 - 2035 (USD Billion)
8.4.1.1 Europe AIOps Market, by Country, 2026 - 2035 (USD Billion)
8.4.2 Europe AIOps Market, by Component, 2026 - 2035
8.4.2.1 Europe AIOps Market, by Component, 2026 - 2035 (USD Billion)
8.4.3 Europe AIOps Market, by Application, 2026 - 2035
8.4.3.1 Europe AIOps Market, by Application, 2026 - 2035 (USD Billion)
8.4.4 Europe AIOps Market, by Vertical, 2026 - 2035
8.4.4.1 Europe AIOps Market, by Vertical, 2026 - 2035 (USD Billion)
8.5 Asia Pacific
8.5.1 Asia Pacific AIOps Market, 2026 - 2035 (USD Billion)
8.5.1.1 Asia Pacific AIOps Market, by Country, 2026 - 2035 (USD Billion)
8.5.2 Asia Pacific AIOps Market, by Component, 2026 - 2035
8.5.2.1 Asia Pacific AIOps Market, by Component, 2026 - 2035 (USD Billion)
8.5.3 Asia Pacific AIOps Market, by Application, 2026 - 2035
8.5.3.1 Asia Pacific AIOps Market, by Application, 2026 - 2035 (USD Billion)
8.5.4 Asia Pacific AIOps Market, by Vertical, 2026 - 2035
8.5.4.1 Asia Pacific AIOps Market, by Vertical, 2026 - 2035 (USD Billion)
8.6 Latin America
8.6.1 Latin America AIOps Market, 2026 - 2035 (USD Billion)
8.6.1.1 Latin America AIOps Market, by Country, 2026 - 2035 (USD Billion)
8.6.2 Latin America AIOps Market, by Component, 2026 - 2035
8.6.2.1 Latin America AIOps Market, by Component, 2026 - 2035 (USD Billion)
8.6.3 Latin America AIOps Market, by Application, 2026 - 2035
8.6.3.1 Latin America AIOps Market, by Application, 2026 - 2035 (USD Billion)
8.6.4 Latin America AIOps Market, by Vertical, 2026 - 2035
8.6.4.1 Latin America AIOps Market, by Vertical, 2026 - 2035 (USD Billion)
8.7 The Middle-East and Africa
8.7.1 The Middle-East and Africa AIOps Market, 2026 - 2035 (USD Billion)
8.7.1.1 The Middle-East and Africa AIOps Market, by Country, 2026 - 2035 (USD Billion)
8.7.2 The Middle-East and Africa AIOps Market, by Component, 2026 - 2035
8.7.2.1 The Middle-East and Africa AIOps Market, by Component, 2026 - 2035 (USD Billion)
8.7.3 The Middle-East and Africa AIOps Market, by Application, 2026 - 2035
8.7.3.1 The Middle-East and Africa AIOps Market, by Application, 2026 - 2035 (USD Billion)
8.7.4 The Middle-East and Africa AIOps Market, by Vertical, 2026 - 2035
8.7.4.1 The Middle-East and Africa AIOps Market, by Vertical, 2026 - 2035 (USD Billion)
Chapter 9. Company Profiles
9.1 IBM
9.1.1 Overview
9.1.2 Financials
9.1.3 Product Portfolio
9.1.4 Business Strategy
9.1.5 Recent Developments
9.2 Splunk
9.2.1 Overview
9.2.2 Financials
9.2.3 Product Portfolio
9.2.4 Business Strategy
9.2.5 Recent Developments
9.3 Dynatrace
9.3.1 Overview
9.3.2 Financials
9.3.3 Product Portfolio
9.3.4 Business Strategy
9.3.5 Recent Developments
9.4 Datadog
9.4.1 Overview
9.4.2 Financials
9.4.3 Product Portfolio
9.4.4 Business Strategy
9.4.5 Recent Developments
9.5 ServiceNow
9.5.1 Overview
9.5.2 Financials
9.5.3 Product Portfolio
9.5.4 Business Strategy
9.5.5 Recent Developments
9.6 BMC Software
9.6.1 Overview
9.6.2 Financials
9.6.3 Product Portfolio
9.6.4 Business Strategy
9.6.5 Recent Developments
Frequently Asked Questions
AIOps refers to the use of artificial intelligence and machine learning to automate and enhance IT operations, including monitoring, analysis, and issue resolution.
Key factors include increasing IT complexity, cloud adoption, data proliferation, and the demand for automation in operations.
The market is projected to grow from approximately USD 18.5 billion in 2026 to USD 149.7 billion by 2035.
The market is expected to grow at a CAGR of 25.2% during 2026-2035.
North America will contribute notably, holding a 37.5% share due to technological advancements and major vendors.
Major players include IBM, Splunk, Dynatrace, Datadog, ServiceNow, and BMC Software.
The report provides market size, trends, segmentation, regional analysis, key players, and forecasts.
Stages include data collection, AI algorithm development, platform integration, deployment, and ongoing maintenance.
Trends focus on generative AI and multi-cloud support, with preferences shifting toward scalable, automated solutions for efficiency.
Data privacy regulations like GDPR and sustainability goals for energy-efficient IT drive adoption of compliant AIOps platforms.