AIOps Market size was valued at USD 75.93 billion in 2024 and is expected to exceed USD 5.22 trillion by the end of 2037, registering over 38.1% CAGR during the forecast period i.e., between 2025-2037. 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 growth of the market. Productivity rises by 47% when the work-from-home paradigm is used. Employee preference for working from home is 82%.
Growth Drivers
Challenges
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
38.1% |
Base Year Market Size (2024) |
USD 75.93 billionn |
Forecast Year Market Size (2037) |
USD 5.22 trillion |
Regional Scope |
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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% during the forecast period. The growth of the segment can be impelled by the 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 holds 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:
Component |
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Deployment |
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Application |
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Vertical |
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North American Market Forecast
The AIOps market in North America is anticipated to have a 35% share of the market. 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 market.
APAC Market Statistics
Asia Pacific is predicted to have a 28% share of the global AIOps market share and develop at a substantial CAGR 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.
Author Credits: Abhishek Verma
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