Aiops Market
AIOps Market Forecasts to 2032 - Global Analysis By Component (AIOps Core Platform, Event & Log Analytics Engines, Monitoring & Observability Tools and Other Components), Core Technology Stack, Deployment Model, Organization Size, End User and By Geography
According to Stratistics MRC, the Global AIOps Market is accounted for $2.27 billion in 2025 and is expected to reach $8.82 billion by 2032 growing at a CAGR of 21.4% during the forecast period. AIOps (Artificial Intelligence for IT Operations) refers to the application of artificial intelligence, machine learning, and advanced analytics to automate and enhance IT operations management. It enables organizations to collect, correlate, and analyze massive volumes of data generated by IT infrastructure, applications, networks, and cloud environments in real time. AIOps platforms proactively detect anomalies, predict incidents, identify root causes, and automate remediation actions, reducing downtime and operational costs. By replacing manual, rule-based monitoring with intelligent insights, AIOps improves system reliability, accelerates incident response, and supports scalable, resilient digital operations across complex hybrid and multi-cloud environments.
According to an IBM survey in 2022, 54% of companies have experienced the advantages of AI implementation across different industries. The adoption of AI helps enhance the performance of IT or network operations (53%), reduce costs with increased efficiency, and improve customer satisfaction (48%).
Market Dynamics:
Driver:
Increasing IT complexity across enterprises
Rising data volumes from multi-cloud, hybrid, and edge environments demand intelligent automation. Enterprises are accelerating investments in AI-driven monitoring to reduce manual intervention and improve service reliability. Distributed workloads and microservices foster operational challenges that require advanced analytics. Real-time anomaly detection boosts efficiency by minimizing downtime and enhancing customer experience. The growing intricacy of IT ecosystems strengthens the role of AIOps as a strategic enabler.
Restraint:
High implementation and integration costs
Substantial investments in infrastructure, skilled personnel, and legacy integration degrade adoption rates. Smaller enterprises face budgetary limitations that hinder deployment of advanced platforms. Continuous model training and pipeline optimization hamper operational efficiency. Extended deployment timelines limit scalability across diverse industries. Financial and technical barriers restrict widespread adoption, particularly in cost-sensitive regions.
Opportunity:
Growth in cloud-native and hybrid environments
Migration of workloads to public and private clouds accelerates the need for intelligent monitoring. Containerized applications and Kubernetes orchestration foster real-time operational insights. Vendors are propelling innovation by offering scalable, cloud-integrated AIOps platforms. Hybrid adoption boosts opportunities for anomaly detection and predictive intelligence. Expanding cloud-native ecosystems strengthen the market outlook for AI-driven operational intelligence.
Threat:
Competition from traditional ITSM tools
Established vendors constrain adoption by embedding automation into existing frameworks. Long-term contracts and entrenched customer bases limit opportunities for new entrants. Incremental AI features in ITSM solutions hinder differentiation of standalone AIOps offerings. Market confusion degrades clarity between ITSM and AIOps capabilities. Persistent competition restricts the pace of AIOps market expansion.
Covid-19 Impact:
Covid-19 impact accelerated digital transformation, boosting reliance on AIOps platforms. Remote work and digital service surges fostered heightened IT workloads. Enterprises accelerated adoption of AI-driven automation to ensure uptime and customer experience. Budget constraints initially hindered deployment in cost-sensitive industries. Over time, resilience needs propelled stronger investments in operational intelligence. The pandemic ultimately strengthened the strategic importance of AIOps in modern IT ecosystems.
The AIOps core platform segment is expected to be the largest during the forecast period
The AIOps core platform segment is expected to account for the largest market share during the forecast period fueled by enterprise demand for centralized visibility. Centralized platforms integrate machine learning, big data, and automation to accelerate operational intelligence. Enterprises prioritize holistic monitoring to foster proactive incident detection and resolution. Vendors are embedding anomaly detection and predictive analytics to boost responsiveness. Rising reliance on unified platforms is strengthening this segment as the backbone of AIOps adoption.
The real-time data processing segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the real-time data processing segment is predicted to witness the highest growth rate due to rising complexity in IT ecosystems. These platforms unify diverse data sources to foster real-time visibility and proactive remediation. Vendors are propelling innovation by embedding advanced analytics and automation features. Large enterprises benefit from scalability that boosts efficiency across distributed workloads. The segment is strengthening its leadership by anchoring enterprise modernization strategies.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share by demand for immediate insights, real-time processing is accelerating growth across dynamic IT environments. Stream-processing architectures foster proactive remediation and anomaly detection. IoT devices and 5G networks are propelling adoption of instant operational intelligence. Vendors are investing in AI models optimized for speed to boost responsiveness. Expanding edge computing ecosystems are strengthening this segment’s competitive edge in the market.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR because of rising workloads requiring instant intelligence, enterprises are accelerating investments in real-time analytics. Streamlined architectures foster anomaly detection and proactive resolution. IoT expansion and 5G connectivity are propelling demand for continuous monitoring. Vendors are embedding stream-processing capabilities to boost operational efficiency. Rapid adoption is strengthening this segment as the fastest-growing driver of AIOps adoption.
Key players in the market
Some of the key players in AIOps Market include IBM Corporation, Microsoft Corporation, Cisco Systems, Inc., Broadcom Inc., Splunk Inc., Dynatrace Inc., New Relic, Inc., Moogsoft, Inc., BMC Software, Inc., Hewlett Packard Enterprise Company, Dell Technologies Inc., Elastic N.V., AppDynamics LLC, Resolve Systems, LLC and Sumo Logic, Inc.
Key Developments:
In May 2025, Microsoft and Dynatrace deepened their integration, embedding Dynatrace's observability and application security data directly into the Microsoft Teams and Azure ecosystems for streamlined AIOps workflows. This allows joint customers to surface AI-powered insights and automated actions within their daily collaboration and cloud management tools.
In October 2024, IBM and SAP announced an expanded partnership to integrate IBM's Watsonx AI governance capabilities with SAP's generative AI offerings, including Joule. This collaboration aims to provide clients with enhanced, governed AI-powered automation and insights across their SAP environments, directly feeding into AIOps use cases.
Components Covered:
• AIOps Core Platform
• Event & Log Analytics Engines
• Monitoring & Observability Tools
• Predictive Analytics Engines
• Automation & Remediation Tools
• Other Components
Core Technology Stacks Covered:
• Machine Learning & Deep Learning
• Real-Time Data Processing
• Natural Language Processing
• API & Microservices Framework
• Other Core Technology Stacks
Deployment Models Covered:
• Cloud-Native
• On-Premise
Organization Sizes Covered:
• Small & Medium Enterprises
• Large Enterprises
End Users Covered:
• IT & Telecommunications
• Banking, Financial Services & Insurance
• Healthcare & Life Sciences
• Retail & Consumer Goods
• Manufacturing
• Energy & Utilities
• Other End Users
Regions Covered:
• North America
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Free Customization Offerings:
All the customers of this report will be entitled to receive one of the following free customization options:
• Company Profiling
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances
Table of Contents
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 End User Analysis
3.7 Emerging Markets
3.8 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global AIOps Market, By Component
5.1 Introduction
5.2 AIOps Core Platform
5.3 Event & Log Analytics Engines
5.4 Monitoring & Observability Tools
5.5 Predictive Analytics Engines
5.6 Automation & Remediation Tools
5.7 Other Components
6 Global AIOps Market, By Core Technology Stack
6.1 Introduction
6.2 Machine Learning & Deep Learning
6.3 Real-Time Data Processing
6.4 Natural Language Processing
6.5 API & Microservices Framework
6.6 Other Core Technology Stacks
7 Global AIOps Market, By Deployment Model
7.1 Introduction
7.2 Cloud-Native
7.3 On-Premise
8 Global AIOps Market, By Organization Size
8.1 Introduction
8.2 Small & Medium Enterprises
8.3 Large Enterprises
9 Global AIOps Market, By End User
9.1 Introduction
9.2 IT & Telecommunications
9.3 Banking, Financial Services & Insurance
9.4 Healthcare & Life Sciences
9.5 Retail & Consumer Goods
9.6 Manufacturing
9.7 Energy & Utilities
9.8 Other End Users
10 Global AIOps Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 IBM Corporation
12.2 Microsoft Corporation
12.3 Cisco Systems, Inc.
12.4 Broadcom Inc.
12.5 Splunk Inc.
12.6 Dynatrace Inc.
12.7 New Relic, Inc.
12.8 Moogsoft, Inc.
12.9 BMC Software, Inc.
12.10 Hewlett Packard Enterprise Company
12.11 Dell Technologies Inc.
12.12 Elastic N.V.
12.13 AppDynamics LLC
12.14 Resolve Systems, LLC
12.15 Sumo Logic, Inc.
List of Tables
1 Global AIOps Market Outlook, By Region (2024-2032) ($MN)
2 Global AIOps Market Outlook, By Component (2024-2032) ($MN)
3 Global AIOps Market Outlook, By AIOps Core Platform (2024-2032) ($MN)
4 Global AIOps Market Outlook, By Event & Log Analytics Engines (2024-2032) ($MN)
5 Global AIOps Market Outlook, By Monitoring & Observability Tools (2024-2032) ($MN)
6 Global AIOps Market Outlook, By Predictive Analytics Engines (2024-2032) ($MN)
7 Global AIOps Market Outlook, By Automation & Remediation Tools (2024-2032) ($MN)
8 Global AIOps Market Outlook, By Other Components (2024-2032) ($MN)
9 Global AIOps Market Outlook, By Core Technology Stack (2024-2032) ($MN)
10 Global AIOps Market Outlook, By Machine Learning & Deep Learning (2024-2032) ($MN)
11 Global AIOps Market Outlook, By Real-Time Data Processing (2024-2032) ($MN)
12 Global AIOps Market Outlook, By Natural Language Processing (2024-2032) ($MN)
13 Global AIOps Market Outlook, By API & Microservices Framework (2024-2032) ($MN)
14 Global AIOps Market Outlook, By Other Core Technology Stacks (2024-2032) ($MN)
15 Global AIOps Market Outlook, By Deployment Model (2024-2032) ($MN)
16 Global AIOps Market Outlook, By Cloud-Native (2024-2032) ($MN)
17 Global AIOps Market Outlook, By On-Premise (2024-2032) ($MN)
18 Global AIOps Market Outlook, By Organization Size (2024-2032) ($MN)
19 Global AIOps Market Outlook, By Small & Medium Enterprises (2024-2032) ($MN)
20 Global AIOps Market Outlook, By Large Enterprises (2024-2032) ($MN)
21 Global AIOps Market Outlook, By End User (2024-2032) ($MN)
22 Global AIOps Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
23 Global AIOps Market Outlook, By Banking, Financial Services & Insurance (2024-2032) ($MN)
24 Global AIOps Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
25 Global AIOps Market Outlook, By Retail & Consumer Goods (2024-2032) ($MN)
26 Global AIOps Market Outlook, By Manufacturing (2024-2032) ($MN)
27 Global AIOps Market Outlook, By Energy & Utilities (2024-2032) ($MN)
28 Global AIOps Market Outlook, By Other End Users (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY
We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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