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The global market for AI-powered IT operations platforms was worth $9.40B in 2023 and is expected to expand from 2024 to 2031, a year at a CAGR (compound annual growth rate) of 19.4 percent.
An AI platform specifically designed to assist with IT operations is known as an AIOps platform. It improves insight into IT system performance by integrating human intelligence with automated algorithms. Achieving the necessary level of speed and agility for the business is the primary motivation for using AIOps in the IT environment. In addition, sophisticated machine learning algorithms gather data in the background to give useful insights. For example, BMC, a world-renowned software solutions provider, unveiled BMC Helix and other new Control-M technologies in October 2021. These tools would help businesses improve their customer service, obtain more valuable insights, and become more resilient and agile. Data science in businesses was to be expanded.
Key factors anticipated to drive the growth of the artificial intelligence (AI) for IT operations platform market include advancements in AI technology and the increasing complexity of IT infrastructure. Artificial intelligence is expected to drive the adoption of IT operations platforms in the near future, as there is a growing emphasis on improving the efficiency and productivity of IT operations across many industries.
By utilizing AI and machine learning, these cutting-edge platforms can quickly sift through massive amounts of data and extract useful insights. Insights like this allow businesses to boost productivity and decrease downtime by spotting problems, seeing patterns, and maybe eliminating problems before they even arise. When applied to IT operations platforms, artificial intelligence has the potential to dramatically increase IT team productivity.
Additional factors that could drive market expansion include the increasing complexity of IT systems, the need for rapid troubleshooting, and the rising importance of IT security. Cloud computing's meteoric rise and widespread digitalization have increased the value of IT infrastructure, which is expected to have a beneficial effect on the demand for AI platforms supporting IT operations. As the number of businesses using AI solutions continues to rise, AI platforms are quickly becoming a need for IT infrastructure. Companies may wish to prioritize the integration of predictive analytics with these platforms as a major trend in the long term.
Many companies are facing new problems and unknowns as a result of the COVID-19 outbreak. During this difficult time of business infrastructure reforms, the AIOps platform may align with industries that operate in the digital world. Problems with user experience, security, and industry collapse have resulted from the pandemic's rapid digital transformation. Due to the dramatic increase in security-related risks in the digital world, organizations are reorganizing their operational infrastructure.
The demand for IT operations solutions driven by AI to efficiently manage, monitor, and defend IT platforms is on the rise due to the increasing complexity of IT infrastructure in various businesses caused by the expanding number of interconnected networks and systems. In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments.
In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments. In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments.
Report Coverage
Global Artificial Intelligence for IT Operations Platform research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence for IT Operations Platform report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence for IT Operations Platform competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence for IT Operations Platform market players and analyses their core competencies in each global market sub-segments.
Key Points Covered in the Report
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence for IT Operations Platform market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence for IT Operations Platform market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM Corporation, Sumo Logic Inc., Splunk Inc., Evolven Software, AppDynamics (Cisco), ScienceLogic Inc., Broadcom Inc., Zenoss Inc., New Relic Inc., LogicMonitor Inc., Resolve Systems LLC, OpsRamp Inc., Ayehu Software Technologies Ltd., Loom Systems, BigPanda Inc., Dynatrace LLC, CloudFabrix Software Inc., Micro Focus International, Moogsoft Inc., Nexthink S.A.
Primary Target Market
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2031. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence for IT Operations Platform market based on the below-mentioned segments:
Global Artificial Intelligence for IT Operations Platform Market, By Offering
Platform
Service
Global Artificial Intelligence for IT Operations Platform market, By Application
Infrastructure Management
Application Performance Analysis
Real-Time Analytics
Network & Security Management
Others
Global Artificial Intelligence for IT Operations Platform market, Regional Analysis
An AI platform specifically designed to assist with IT operations is known as an AIOps platform. It improves insight into IT system performance by integrating human intelligence with automated algorithms. Achieving the necessary level of speed and agility for the business is the primary motivation for using AIOps in the IT environment. In addition, sophisticated machine learning algorithms gather data in the background to give useful insights. For example, BMC, a world-renowned software solutions provider, unveiled BMC Helix and other new Control-M technologies in October 2021. These tools would help businesses improve their customer service, obtain more valuable insights, and become more resilient and agile. Data science in businesses was to be expanded.
Key factors anticipated to drive the growth of the artificial intelligence (AI) for IT operations platform market include advancements in AI technology and the increasing complexity of IT infrastructure. Artificial intelligence is expected to drive the adoption of IT operations platforms in the near future, as there is a growing emphasis on improving the efficiency and productivity of IT operations across many industries.
By utilizing AI and machine learning, these cutting-edge platforms can quickly sift through massive amounts of data and extract useful insights. Insights like this allow businesses to boost productivity and decrease downtime by spotting problems, seeing patterns, and maybe eliminating problems before they even arise. When applied to IT operations platforms, artificial intelligence has the potential to dramatically increase IT team productivity.
Additional factors that could drive market expansion include the increasing complexity of IT systems, the need for rapid troubleshooting, and the rising importance of IT security. Cloud computing's meteoric rise and widespread digitalization have increased the value of IT infrastructure, which is expected to have a beneficial effect on the demand for AI platforms supporting IT operations. As the number of businesses using AI solutions continues to rise, AI platforms are quickly becoming a need for IT infrastructure. Companies may wish to prioritize the integration of predictive analytics with these platforms as a major trend in the long term.
Many companies are facing new problems and unknowns as a result of the COVID-19 outbreak. During this difficult time of business infrastructure reforms, the AIOps platform may align with industries that operate in the digital world. Problems with user experience, security, and industry collapse have resulted from the pandemic's rapid digital transformation. Due to the dramatic increase in security-related risks in the digital world, organizations are reorganizing their operational infrastructure.
The demand for IT operations solutions driven by AI to efficiently manage, monitor, and defend IT platforms is on the rise due to the increasing complexity of IT infrastructure in various businesses caused by the expanding number of interconnected networks and systems. In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments.
In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments. In order to identify and fix problems, it is necessary to manage and analyze the huge amounts of data produced by complicated IT infrastructure. With the help of AI, IT operation managers can sift through the mountains of data generated by businesses and make better-informed judgments.
Report Coverage
Global Artificial Intelligence for IT Operations Platform research report categorizes the market for global based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. Global Artificial Intelligence for IT Operations Platform report analyses the key growth drivers, opportunities, and challenges influencing the global market. Recent market developments and Artificial Intelligence for IT Operations Platform competitive strategies such as expansion, product launch and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key Artificial Intelligence for IT Operations Platform market players and analyses their core competencies in each global market sub-segments.
| REPORT ATTRIBUTES | DETAILS |
|---|---|
| Study Period | 2017-2031 |
| Base Year | 2023 |
| Forecast Period | 2023-2031 |
| Historical Period | 2017-2021 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | IBM Corporation, Sumo Logic Inc., Splunk Inc., Evolven Software, AppDynamics (Cisco), ScienceLogic Inc., Broadcom Inc., Zenoss Inc., New Relic Inc., LogicMonitor Inc., Resolve Systems LLC, OpsRamp Inc., Ayehu Software Technologies Ltd., Loom Systems, BigPanda Inc., Dynatrace LLC, CloudFabrix Software Inc., Micro Focus International, Moogsoft Inc., Nexthink S.A. |
| Segments Covered | • By Product |
| Customization Scope | Free report customization (equivalent to up to 3 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
Key Points Covered in the Report
- Market Revenue of Artificial Intelligence for IT Operations Platform Market from 2021 to 2031.
- Market Forecast for Artificial Intelligence for IT Operations Platform Market from 2021 to 2031.
- Regional Market Share and Revenue from 2021 to 2031.
- Country Market share within region from 2021 to 2031.
- Key Type and Application Revenue and forecast.
- Company Market Share Analysis, Artificial Intelligence for IT Operations Platform competitive scenario, ranking, and detailed company
profiles. - Market driver, restraints, and detailed COVID-19 impact on Artificial Intelligence for IT Operations Platform
Market
Competitive Environment:
The research provides an accurate study of the major organisations and companies operating in the global Artificial Intelligence for IT Operations Platform market, along with a comparative evaluation based on their product portfolios, corporate summaries, geographic reach, business plans, Artificial Intelligence for IT Operations Platform market shares in specific segments, and SWOT analyses. A detailed analysis of the firms' recent news and developments, such as product development, inventions, joint ventures, partnerships, mergers and acquisitions, strategic alliances, and other activities, is also included in the study. This makes it possible to assess the level of market competition as a whole.
List of Major Market Participants
IBM Corporation, Sumo Logic Inc., Splunk Inc., Evolven Software, AppDynamics (Cisco), ScienceLogic Inc., Broadcom Inc., Zenoss Inc., New Relic Inc., LogicMonitor Inc., Resolve Systems LLC, OpsRamp Inc., Ayehu Software Technologies Ltd., Loom Systems, BigPanda Inc., Dynatrace LLC, CloudFabrix Software Inc., Micro Focus International, Moogsoft Inc., Nexthink S.A.
Primary Target Market
- Market Players of Artificial Intelligence for IT Operations Platform
- Investors
- End-users
- Government Authorities
- Consulting And Research Firm
- Venture capitalists
- Third-party knowledge providers
- Value-Added Resellers (VARs)
Market Segment:
This study forecasts global, regional, and country revenue from 2019 to 2031. INFINITIVE DATA EXPERT has segmented the global Artificial Intelligence for IT Operations Platform market based on the below-mentioned segments:
Global Artificial Intelligence for IT Operations Platform Market, By Offering
Platform
Service
Global Artificial Intelligence for IT Operations Platform market, By Application
Infrastructure Management
Application Performance Analysis
Real-Time Analytics
Network & Security Management
Others
Global Artificial Intelligence for IT Operations Platform market, Regional Analysis
- Europe: Germany, Uk, France, Italy, Spain, Russia, Rest of Europe
- The Asia Pacific: China,Japan,India,South Korea,Australia,Rest of Asia Pacific
- South America: Brazil, Argentina, Rest of South America
- Middle East & Africa: UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa
About This Research
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