Global AIOps Market Trends, Forecast Report 2025-2037
AIOps Market size is anticipated to expand from USD 75.93 billion to USD 5.22 trillion, witnessing a CAGR of around 38.1% throughout the forecast period, from 2025 to 2037. In the year 2025, the industry size of AIOps is evaluated at USD 99.19 billion.
Platforms for AIOps are crucial for enhancing IT security & risk management. Through utilizing AI algorithms, these systems are able to detect and respond to security vulnerabilities in real time, permitting speedier incident response and mitigation. By 2030, AI is predicted to generate USD 15.7 trillion for the global economy, which is more than China and India now produce together.
Furthermore, they provide cutting-edge anomaly detection techniques that aid in the identification of possible security gaps and vulnerabilities. There has been a growing trend of working from home, as it improves the productivity of employees which is predicted to elevate the market growth. Productivity rises by 47% when the work-from-home paradigm is used. Employee preference for working from home is 82%.
AIOps Sector: Growth Drivers and Challenges
Growth Drivers
- Rising Adoption of Root Cause Analysis-Businesses may benefit from faster and more precise root cause analysis using AIOps, which is challenging with the manual methods that have traditionally been employed in corporate and commercial contexts. Approximately 97% of IT professionals, according to research by Broadcom, think that AIOps will offer practical insights to aid in automating and optimizing overall IT operations processes.
- Increasing Business Usage of AIOps Solutions- AIOps will play a significant role in helping organizations and IT teams adopt complicated next-generation technologies that cannot be properly managed with conventional solutions. Additionally, businesses from a variety of industry sectors have been concentrating on integrating automation and AI technology into their IT processes.
- Surge in Data Quantities and Usage of The Cloud- DevOps systems have evolved to be smarter for smooth and efficient business operations as IT tools and devices have, leading to a rise in the usage of AIOps. The global expansion of cloud computing usage is another factor driving the automation of these processes. Due to the pandemic, globally, over 30% of SMBs employed cloud computing services more frequently than anticipated.
Challenges
- Reliance on Algorithms and Machine Learning- Algorithms are used by AIOps to identify and examine data trends. These algorithms may be useful in some circumstances, but they also run the risk of producing false positives or false negatives. An algorithm could, for instance, identify a pattern even when it isn't truly there in the data. This may result in wrong choices or outcomes.
- Rapid Changes in the IT sector
- Lack of Skilled Workforce
AIOps Segmentation
Application (Real-time Analytics, Infrastructure Management, Application Performance Management)
The real-time analytics segment in the AIOps market is anticipated to have the largest revenue share of 35% by 2037. The segment growth is impelled by AIOps platforms' ability to analyze massive amounts of data from numerous sources while also applying a variety of algorithms to the data in real-time to give real-time pattern diagnosis This platform assists in obtaining timely issue analysis and diagnosis as well as practical insights. The meantime to identify and fix is shortened. Real-time analytics help organizations correlate performance problems and infrastructure modifications to incident tickets by revealing trends.
Vertical (Telecom & IT, BFSI, Healthcare)
The BFSI segment is set to hold more than 42% of the AIOps market share during the forecasted timeline. The quick adoption of AIOps in the sector, particularly for ensuring financial & banking-related data security, is attributed to the segment's growth in the market. Moreover, AI has several uses in banking and financial IT operations, such as real-time analytics, troubleshooting difficult IT problems, and banking automation. Financial institutions may efficiently optimize their processes, increase overall efficiency, and improve security for their sensitive data by utilizing the potential of AI.
Our in-depth analysis of the global market includes the following segments:
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Customize this ReportAIOps Industry - Regional Synopsis
North American Market Forecast
The AIOps market share in North America is anticipated to surpass 35% by 2037. The regional dominance among developed economies, allows them to make significant investments in R&D activities. In addition, the rising convergence of various technologies and the diffusion of digital transformation across businesses have had an influence on the area and increased IT budget spending. The region's IT behemoths, including IBM and VMware, are concentrating on providing AI-powered services to aid their clients in developing intelligent applications in order to fulfill the need for AI-powered solutions. In 2022, North America held the largest revenue share (51.1%) in the worldwide artificial intelligence sector.
APAC Market Statistics
Asia Pacific is predicted to have a 28% share of the global AIOps market share by 2037, as a result of the rapid use of automation in a variety of corporate operations across all industries. A rising market for AI-powered products and services is emerging in the Asia Pacific due to the region's high data creation. Data analytics advances are driven by AI-powered solutions such as AI in IOT , which also fill in any holes left by outdated technologies.
Governments in the APAC region are aggressively investing in AI, but long-term solutions will take some time to implement for structural reasons. According to an IDC report jointly commissioned by Lenovo and AMD, artificial intelligence (AI) is anticipated to become widely used in the APAC region by the end of 2023, with more than 88% of regional enterprises already using or planning to use AI or machine learning (ML) applications over the next 12 months.
Companies Dominating the AIOps Landscape
- IBM Corporation
- Company Overview
- Business Strategy
- Key Product Offerings
- Financial Performance
- Key Performance Indicators
- Risk Analysis
- Recent Development
- Regional Presence
- SWOT Analysis
- CA Technologies (Broadcom Inc.)
- Micro focus International plc
- BMC Software, INC.
- Dell Inc.
- Splunk Inc
- HCL Technologies Limited
- AppDynamics
- Moogsoft Inc.
- Correlsense
In the News
- Moogsoft Inc. and HCL Technologies Limited to join hands to develop AI based automated incident remediation of IT incidents. This will significantly increase the operational efficiency and frequency of DevOps Platforms.
- IBM AIOps Software Helps Businesses, Including BBC Studios and ExaVault, Transform IT Operations. IBM updates its Turbonomic Application Resource Management and Instana Observability software to help organizations manage application performance and energy and costs to accelerate sustainability initiative progress
Author Credits: Abhishek Verma
- Report ID: 3309
- Published Date: Jan 28, 2025
- Report Format: PDF, PPT
