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 Platform Market Analysis
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 Platform Market Overview
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.
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You will get customization on any report - free of charge - including parts of this report, or country-level analysis, Excel Data pack, as well as avail great offers and discounts for start-ups & universities
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AIOps Platform Market Drivers and Opportunities
Increasing Integration of AIOps Platforms to Favor Market
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.
The Collaboration between Edge Computing and AIOps
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.
AIOps Platform Market Report Segmentation Analysis
Key segments that contributed to the derivation of the AIOps platform market analysis are component, deployment, organization size, and vertical.
- Based on component, the market is segmented into platforms and services. The platforms segment held a significant market share in 2023.
- In terms of deployment, the market is divided into on-premises and cloud. The on-premises segment held a substantial share of the market in 2023.
- Based on organization size, the market is segmented into SMEs and large enterprises. The large enterprises segment held a significant market share in 2023.
- In terms of vertical, the market is divided into BFSI, telecom and IT, manufacturing, government, and others. The telecom and IT segment held a substantial share of the market in 2023.
AIOps Platform Market Share Analysis by Geography
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.
AIOps Platform Market Regional Insights
AIOps Platform Market Regional Insights
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.
- Get the Regional Specific Data for AIOps Platform Market
AIOps Platform Market Report Scope
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 |
AIOps Platform Market Players Density: Understanding Its Impact on Business Dynamics
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:
- IBM
- AppDynamics
- BMC Software, Inc
- Broadcom Inc
- Dynatrace LLC
- HCL Technologies Limited
Disclaimer: The companies listed above are not ranked in any particular order.
- Get the AIOps Platform Market top key players overview
AIOps Platform Market News and Recent Developments
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:
- Dell Technologies (NYSE: DELL) announced it has signed a definitive agreement to acquire Moogsoft, an AI-driven provider of intelligent monitoring solutions that support DevOps and ITOps. This transaction will further enhance Dell’s AIOps capabilities as part of its longstanding approach of embedding AI functionality within its product portfolio and as a critical component of its “multi-cloud by design” strategy.
(Source: Dell Inc., Press Release, July 2023)
- Riverbed, the leader in AI Observability, introduced the most advanced AI-powered observability platform to optimize digital experiences and launched several new solutions and a unified agent built on this open architecture. Expanding on its broad collection of full-fidelity data across the IT landscape, Riverbed’s new observability capabilities now enable IT to overcome visibility blind spots around public cloud, Zero Trust and SD-WAN architectures, and remote work environments. Additionally, with Aternity Mobile, IT can now monitor enterprise-owned Apple iOS and Android mobile device performance to proactively identify digital experience issues and take targeted actions to improve the productivity of front-line employees. The Company also released the next generation of Riverbed IQ 2.0. This AIOps service reduces alert fatigue and enables IT to identify and solve issues faster by using AI-driven correlation and automation of Riverbed and third-party data.
(Source: Riverbed Technology, Press Release, May 2024)
AIOps Platform Market Report Coverage and Deliverables
The “AIOps Platform Market Size and Forecast (2021–2031)” report provides a detailed analysis of the market covering below areas:
- AIOps platform market size and forecast at global, regional, and country levels for all the key market segments covered under the scope
- AIOps platform market trends as well as market dynamics such as drivers, restraints, and key opportunities
- Detailed PEST/Porter’s Five Forces and SWOT analysis
- AIOps platform market analysis covering key market trends, global and regional framework, major players, regulations, and recent market developments
- Industry landscape and competition analysis covering market concentration, heat map analysis, prominent players, and recent developments for the AIOps platform market
- Detailed company profiles
- Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
- PEST and SWOT Analysis
- Market Size Value / Volume - Global, Regional, Country
- Industry and Competitive Landscape
- Excel Dataset
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Component, Deployment, Organization Size, and Vertical
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Argentina, Australia, Brazil, Canada, China, France, Germany, India, Italy, Japan, Mexico, Russian Federation, Saudi Arabia, South Africa, South Korea, United Arab Emirates, United Kingdom, United States
Frequently Asked Questions
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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