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AIOps Market Size By Component (Solution, Service), By Deployment Model, Enterprise Size, By Application (Infrastructure Management, Real-time Analytics, Network & Security Management, Application Performance Management), End-use & Forecast, 2023 - 2032
- Report ID: GMI5153
- Published Date: Mar 2023
- Report Format: PDF
Artificial Intelligence in IT Operations Market size surpassed USD 3 billion in 2022 and is poised to grow at a CAGR of 27% from 2023 to 2032, owing to the rising demand for Al-based services in IT operations. The market growth is due to the rapid adoption of AI-based platforms across enterprises. IT infrastructure & operation leaders are planning for a post-COVID-19 environment by deploying AIOps to enable task automation, knowledge management, and change analysis. Also, enterprises are adopting AIOp platforms to compete with and replace some traditional monitoring tool categories.
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Organizations of all sizes & types, ranging from start-ups to multinational corporations, government agencies, and non-profit organizations are increasingly turning to cloud computing technologies to provide a wide range of services. As core business applications have become more essential than ever, from process planning to customer relationship management, the ability to connect & analyze data in real-time has become increasingly critical for building a smarter business that makes informed decisions and optimizes investments to fund innovations. This growing demand for cloud computing is driving the AIOps market expansion as organizations look to leverage the latest technologies & tools to manage and optimize their cloud-based operations.
| Report Coverage | Details |
|---|---|
| Base Year: | 2022 |
| Market Size in 2022: | 3 Billion (USD) |
| Forecast Period: | 2023 to 2032 |
| Forecast Period 2023 to 2032 CAGR: | 27% |
| 2032 Value Projection: | 38 Billion (USD) |
| Historical Data for: | 2018 to 2022 |
| No. of Pages: | 230 |
| Tables, Charts & Figures: | 486 |
| Segments covered: | Component, Deployment Model, Enterprise Size, Application, End-user, and Region |
| Growth Drivers: |
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| Pitfalls & Challenges: |
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Growing adoption of AIOps solutions among enterprises
The AIOps solutions segment accounted for USD 2 billion revenue in 2022. AIOp solutions play an important role by aiding IT teams and organizations in adopting complex next-generation technologies that cannot be managed successfully using traditional solutions. Also, enterprises across various industry verticals have been focusing on combining automation & AI technologies in their IT operations.
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Rising focus of organizations on improving their technological landscape
The Artificial Intelligence in IT operations market from cloud deployment segment is anticipated to witness over 26% growth during the forecast period, driven by the growing focus of organizations on modernizing their technology landscape with scalable cloud infrastructure. The cloud deployment model helps business enterprises in building common data services in two different ways, by consolidating the data into a single database and by managing the data in a distributed manner. Also, other associated benefits of cloud-based deployment including flexibility and a steady improvement in security features are set to drive the market demand for cloud-based AIOp solutions.
Rising implementation of AIOps by SMEs to enhance operations
The SMEs segment is slated to experience significant growth in the coming years, as digital solutions continue to gain wide acceptance across all industries. Many SMEs are now implementing multiple AIOp solutions to enhance their IT infrastructure management. For instance, in January 2021, a trend was illustrated by the launch of Amazon DevOps Guru by Amazon Web Services (AWS). This service leverages machine learning to identify and resolve operational issues, generate detailed reports & notifications, and provide actionable insights & recommendations.
Rapid growth in the adoption of AIOps by enterprises for infrastructure management
The infrastructure management segment will gain remarkable momentum during the forecast timeline, due to the rapid adoption of AI in a wide range of heavy IT infrastructure works. To cater to the increasing demand, companies are introducing innovative solutions to enhance their services and offer exceptional customer experiences. For instance, in January 2021, BMC Software introduced a comprehensive suite of cloud-based & IT operation solutions for large enterprises including the TrueSight Infrastructure Management software, which integrates infrastructure monitoring, incident management, and operational analytics to provide IT teams with a centralized view of their IT infrastructure.
The increasing demand for AlOp platforms in the BFSI industry to strengthen online payment applications
The BFSI segment held more than 15% Artificial Intelligence in IT operations market share in 2022, credited to the rapid adoption of AIOps in the industry, especially for securing financial & banking-related data. AI has found numerous applications in banking & financial IT operations including real-time analytics, resolving complex IT issues, and banking automation. By utilizing the power of AI, financial institutions can effectively optimize their operations and improve overall efficiency while also providing enhanced security for their sensitive data. According to OECD, the growing deployment of AI applications is evidenced by the increasing global spending on AI by private sectors combined with increased research activities on this technology. The global spending on AI is projected to double over the next years, growing from USD 50.1 billion in 2020 to over USD 110 billion in 2024.
Surge in the adoption of AI-based investments in North America
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North America AIOps market dominated around 40% revenue share in 2022. The U.S. has witnessed a surge in the adoption of AI-based investment advisory customer applications, which are aimed at improving investment decision-making. This trend can be attributed to the presence of various AIOp platform vendors in the region. Both tech start-ups and established giants are actively developing AIOp platforms for various industry verticals. In addition, the region's significant investments in R&D along with the ongoing digital transformation across various sectors are key factors fueling the adoption of AIOp platforms in North America.
Major players in the Artificial Intelligence in IT operations market are focused on launching innovative products that cater to the needs of various end users while also addressing important security concerns. Key participants in the industry are IBM Corporation, Cisco Systems Inc., Splunk, Dynatrace Inc., Elastic, and Broadcom SA. These companies are pursuing various strategic initiatives including partnerships, collaborations, mergers & acquisitions as well as the development of new products or technologies.
The artificial intelligence in IT operations (AIOps) market research report includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2018 to 2032 for the following segments:
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Market, By Component
- Solution
- Domain-Agnostic AIOps
- Domain-Centric AIOps
- Service
- Professional Services
- Managed Services
Market, By Deployment Model
- On-premise
- Cloud
Market, By Enterprise Size
- Large Enterprises
- SMEs
Market, By Application
- Infrastructure Management
- Real-Time Analytics
- Network & Security Management
- Application Performance Management
- Others
Market, By End-user
- BFSI
- IT & Telecom
- Healthcare
- Retail
- Government
- Manufacturing
- Media & Entertainment
- Others
The above information has been provided for the following regions and countries:
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Netherlands
- Asia Pacific
- China
- India
- Japan
- Southeast Asia
- South Korea
- ANZ
- Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- MEA
- South Africa
- UAE
- Saudi Arabia
- Israel