The AIOps platform market size is projected to reach US$ 46.2 billion by 2031 from US$ 4.9 billion in 2023. The market is expected to register a CAGR of 32.2% during 2023–2031. Increasing integration of AIOps platforms and human-AI collaboration in IT are likely to remain key trends in the market.
AIOps solutions leverage a data-driven approach to identify and resolve prevalent IT issues. They utilize a centralized platform to aggregate essential data from various sources, analyze it, and deliver precise resolutions and actionable insights, ultimately improving user experience. This all-inclusive post will investigate into the concept of AIOps, providing multiple examples and use cases to illustrate how AIOps can optimize and streamline technical and operational business processes.
AIOps, short for 'artificial intelligence for IT operations,' covers platforms that utilize machine learning (ML) and analytics to streamline IT operations. By tapping into substantial amounts of operational data, AIOps can rapidly identify and address issues. Through the application of ML, AIOps utilizes diverse data sources to generate automated insights that endlessly refine and evolve. AIOps is designed to tackle the rapidly changing IT environment by integrating machine learning, automation, and big data capabilities.
The increasing integration of AIOps platforms into well-established IT ecosystems is one noteworthy trend in recent years. Businesses are realising how important it is for AIOps technologies and existing IT management solutions to work together seamlessly. A complete approach to IT operations is made possible by this integration, which also improves visibility, speeds up problem response, and streamlines decision-making procedures. AIOps act as a unifying force that harmonizes IT operations with overarching organizational objectives by removing barriers and fostering collaboration.
As edge computing gains traction, AIOps is expanding beyond traditional data centers. It is anticipated that AIOps systems will provide real-time monitoring and management capabilities by integrating with edge computing environments. The combination of edge computing and AIOps improves the agility of IT operations, particularly in sectors where high-performance computation and low latency are essential.
Key segments that contributed to the derivation of the AIOps platform market analysis are component, deployment, organization size, and vertical.
The geographic scope of the AIOps platform market report is mainly divided into five regions: North America, Asia Pacific, Europe, Middle East & Africa, and South & Central America.
North America is projected to hold a significant revenue share of the AIOps platform market. AI-powered consumer financial advisory applications are gaining push in the US, aiming to assist individuals in making informed investment choices. This trend can be accredited to the proliferation of AIOps platform providers in the region. Various enterprises, encompassing both tech start-ups and industry frontrunners, are actively engaged in the development of AIOps platforms. The widespread adoption of AIOps platforms in the region is supported by substantial investment in research and development, as well as a sustained drive towards digital transformation in prosperous nations.
The regional trends and factors influencing the AIOps Platform Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses AIOps Platform Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ 4.9 Billion |
| Market Size by 2031 | US$ 46.2 Billion |
| Global CAGR (2023 - 2031) | 32.2% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered |
By Component
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
The AIOps Platform Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the AIOps Platform Market are:
Disclaimer: The companies listed above are not ranked in any particular order.
The AIOps platform market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in the AIOps platform market are listed below:
(Source: Dell Inc., Press Release, July 2023)
(Source: Riverbed Technology, Press Release, May 2024)
The “AIOps Platform Market Size and Forecast (2021–2031)” report provides a detailed analysis of the market covering below areas:
The global AIOps platform market is estimated to register a CAGR of 32.2% during the forecast period 2023–2031.
Increasing integration of AIOps platforms and focus on sustainable IT operations are driving market growth.
Human-AI collaboration in IT operations is a key trend in the market.
IBM, AppDynamics, BMC Software, Inc., Broadcom Inc., Dynatrace LLC, HCL Technologies Limited, Micro Focus International plc, Moogsoft, Resolve Systems, LLC, and Splunk Inc. are key players operating in the market.
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Some of the customization options available based on the request are additional 3–5 company profiles and country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.