This report describes the global market size of Artificial Intelligence For IT Operations Platform Market from 2018 to 2021 and its CAGR from 2018 to 2021, and also forecasts its market size to the end of 2030 and its expected to grow with a CAGR of 7.7% from 2023 to 2030.
An Artificial Intelligence for IT Operations (AIOps) platform refers to a comprehensive and advanced technology solution that leverages artificial intelligence (AI) and machine learning (ML) capabilities to enhance and automate various aspects of IT operations and management. The primary goal of AIOps is to improve the efficiency, reliability, and performance of IT systems by intelligently analyzing and responding to vast amounts of data generated across the IT environment.
Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Artificial Intelligence For IT Operations Platform Market estimated at US $ million in the year 2022, is projected to reach a revised size of US$ million by 2030, growing at a CAGR of 7.7% during the forecast period 2023-2030. North American market for Artificial Intelligence For IT Operations Platform Market is estimated to increase from $million in 2022 to reach $ million by 2030, at a CAGR of 7.7% during the forecast period of 2023 through 2030.
For geography segment, regional supply, demand, major players, price is presented from 2018 to 2030. This report cover following regions:
North America
Asia-Pacific
Europe
Middle East and Africa
South America
The key countries for each regions are also included such as United States, China, Japan, India, Korea, ASEAN, Germany, France, UK, Italy, Spain, CIS, and Brazil etc.
For competitor segment, the report include global key players of Artificial Intelligence For IT Operations Platform Market as well as some small players. The information for each competitor include:
Company Profile
Main Business Information
SWOT Analysis
Sales Volume, Revenue, Price and Gross Margin
Market Share
By Offering
Platform
Service
With 86.5% of the worldwide revenue share in 2022, the platform offering segment drove the growth of the AIOps platform market. AIOps vendors give corporate organizations a competitive edge in the market by providing dependable, responsive, and creative platform experiences. Its business advantages, including improved decision-making, quicker digital transformation, effective data processing, and cohesive agility, are responsible for its large market share. One of the main factors driving an organization's need for AIOps platforms is automation.
By Application
Infrastructure Management
Application Performance Analysis
Real-Time Analytics
Network & Security Management
Others
The market in 2022 was dominated by the real-time analytics application segment, which brought in the highest revenue share of 32.8%. For production quality (vendor quality, data accuracy, and cost overruns), lead times (cycle time and customer service time), delivery reliability (schedule adherence and vendor delivery performance), and costs (waste rates, inventory turns, system complexity, and overhead efficiency), the manufacturing sector is using real-time analytics.
By Deployment Mode
Cloud
On-premise
With 66.8% of the global revenue share in 2022, the on-premises deployment model segment led the market. Because deploying AI models on the public cloud carries more risk, organizations prefer to deploy AI models on-premises. This high percentage can be linked to the improved privacy and security that on-premises solutions in IT operations offer. Edge analytics is another feature of these solutions that reduces the bandwidth needed.
By Organization Size
SMEs
Large Enterprises
With 76.3% of revenue, the large enterprises segment had the highest share in 2022. AIOps solutions are being implemented by large enterprises in a variety of industries, including media and entertainment. For example, DataStax released Astra, a cloud-native Database-as-a-Service (DBaaS) built on top of the Apache Cassandra database, in June 2020.
By Vertical
BFSI
Healthcare & Life Sciences
Retail & E-commerce
IT & Telecom
Energy & Utilities
Government & Public Sector
Media & Entertainment
Others
With a revenue share of 21.5%, the BFSI segment led the market in 2022. In this industry, AIOps technology for protecting data linked to banking and finance has expanded significantly. AI has many uses in banking and financial IT operations, including real-time analytics, resolving difficult IT problems, automating banking processes, and improving scalability, to name a few.
By Company
AppDynamics
BMC Software, Inc.
Broadcom
HCL Technologies Limited
International Business Machines Corporation
Micro Focus
Moogsoft
ProphetStor Data Services, Inc.
Resolve Systems
Splunk Inc.
Please ask for sample pages for full companies list
Base Year: 2022
Historical Data: from 2018 to 2021
Forecast Data: from 2023 to 2030
Any special requirements about this report, please let us know and we can provide custom report.
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