The global Artificial Intelligence in IT Operations (AIOps) market size was valued at US$ million in 2024 and is forecast to a readjusted size of USD million by 2031 with a CAGR of %during review period.
Artificial Intelligence in IT Operations (AIOps) refers to the integration of artificial intelligence (AI) and machine learning (ML) technologies into IT operations to enhance and automate various tasks and processes. AIOps leverages advanced analytics, data processing, and automation to monitor, analyze, and manage IT infrastructure, applications, and services more efficiently and proactively.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China"s core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China"s data center is less than 1/122 of that of the United States.
This report is a detailed and comprehensive analysis for global Artificial Intelligence in IT Operations (AIOps) market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Artificial Intelligence in IT Operations (AIOps) market size and forecasts, in consumption value ($ Million), 2020-2031
Global Artificial Intelligence in IT Operations (AIOps) market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global Artificial Intelligence in IT Operations (AIOps) market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global Artificial Intelligence in IT Operations (AIOps) market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Artificial Intelligence in IT Operations (AIOps)
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Artificial Intelligence in IT Operations (AIOps) market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include IBM, Cisco, Amazon, Dynatrace, Splunk, Broadcom, New Relic, PagerDuty, Instana, Moogsoft, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
麻豆原创 segmentation
Artificial Intelligence in IT Operations (AIOps) market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
麻豆原创 segment by Type
Base-on Private Cloud
Base-on Public Cloud
Base-on Hybrid Cloud
麻豆原创 segment by Application
Infrastructure Management
Real-Time Analysis
Network And Security Management
Application Performance Management
Others
麻豆原创 segment by players, this report covers
IBM
Cisco
Amazon
Dynatrace
Splunk
Broadcom
New Relic
PagerDuty
Instana
Moogsoft
Datadog
AppDynamics
Turbonomic
SolarWinds
BMC Software
麻豆原创 segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe Artificial Intelligence in IT Operations (AIOps) product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of Artificial Intelligence in IT Operations (AIOps), with revenue, gross margin, and global market share of Artificial Intelligence in IT Operations (AIOps) from 2020 to 2025.
Chapter 3, the Artificial Intelligence in IT Operations (AIOps) competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and Artificial Intelligence in IT Operations (AIOps) market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in IT Operations (AIOps).
Chapter 13, to describe Artificial Intelligence in IT Operations (AIOps) research findings and conclusion.
Please Note - This is an on demand report and will be delivered in 2 business days (48 Hours) post payment.
1 麻豆原创 Overview
1.1 Product Overview and Scope
1.2 麻豆原创 Estimation Caveats and Base Year
1.3 Classification of Artificial Intelligence in IT Operations (AIOps) by Type
1.3.1 Overview: Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Type: 2020 Versus 2024 Versus 2031
1.3.2 Global Artificial Intelligence in IT Operations (AIOps) Consumption Value 麻豆原创 Share by Type in 2024
1.3.3 Base-on Private Cloud
1.3.4 Base-on Public Cloud
1.3.5 Base-on Hybrid Cloud
1.4 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 by Application
1.4.1 Overview: Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Application: 2020 Versus 2024 Versus 2031
1.4.2 Infrastructure Management
1.4.3 Real-Time Analysis
1.4.4 Network And Security Management
1.4.5 Application Performance Management
1.4.6 Others
1.5 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size & Forecast
1.6 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast by Region
1.6.1 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
1.6.2 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Region, (2020-2031)
1.6.3 North America Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Prospect (2020-2031)
1.6.4 Europe Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Prospect (2020-2031)
1.6.5 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Prospect (2020-2031)
1.6.6 South America Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Prospect (2020-2031)
1.6.7 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Prospect (2020-2031)
2 Company Profiles
2.1 IBM
2.1.1 IBM Details
2.1.2 IBM Major Business
2.1.3 IBM Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.1.4 IBM Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.1.5 IBM Recent Developments and Future Plans
2.2 Cisco
2.2.1 Cisco Details
2.2.2 Cisco Major Business
2.2.3 Cisco Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.2.4 Cisco Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.2.5 Cisco Recent Developments and Future Plans
2.3 Amazon
2.3.1 Amazon Details
2.3.2 Amazon Major Business
2.3.3 Amazon Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.3.4 Amazon Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.3.5 Amazon Recent Developments and Future Plans
2.4 Dynatrace
2.4.1 Dynatrace Details
2.4.2 Dynatrace Major Business
2.4.3 Dynatrace Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.4.4 Dynatrace Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.4.5 Dynatrace Recent Developments and Future Plans
2.5 Splunk
2.5.1 Splunk Details
2.5.2 Splunk Major Business
2.5.3 Splunk Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.5.4 Splunk Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.5.5 Splunk Recent Developments and Future Plans
2.6 Broadcom
2.6.1 Broadcom Details
2.6.2 Broadcom Major Business
2.6.3 Broadcom Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.6.4 Broadcom Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.6.5 Broadcom Recent Developments and Future Plans
2.7 New Relic
2.7.1 New Relic Details
2.7.2 New Relic Major Business
2.7.3 New Relic Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.7.4 New Relic Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.7.5 New Relic Recent Developments and Future Plans
2.8 PagerDuty
2.8.1 PagerDuty Details
2.8.2 PagerDuty Major Business
2.8.3 PagerDuty Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.8.4 PagerDuty Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.8.5 PagerDuty Recent Developments and Future Plans
2.9 Instana
2.9.1 Instana Details
2.9.2 Instana Major Business
2.9.3 Instana Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.9.4 Instana Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.9.5 Instana Recent Developments and Future Plans
2.10 Moogsoft
2.10.1 Moogsoft Details
2.10.2 Moogsoft Major Business
2.10.3 Moogsoft Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.10.4 Moogsoft Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.10.5 Moogsoft Recent Developments and Future Plans
2.11 Datadog
2.11.1 Datadog Details
2.11.2 Datadog Major Business
2.11.3 Datadog Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.11.4 Datadog Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.11.5 Datadog Recent Developments and Future Plans
2.12 AppDynamics
2.12.1 AppDynamics Details
2.12.2 AppDynamics Major Business
2.12.3 AppDynamics Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.12.4 AppDynamics Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.12.5 AppDynamics Recent Developments and Future Plans
2.13 Turbonomic
2.13.1 Turbonomic Details
2.13.2 Turbonomic Major Business
2.13.3 Turbonomic Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.13.4 Turbonomic Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.13.5 Turbonomic Recent Developments and Future Plans
2.14 SolarWinds
2.14.1 SolarWinds Details
2.14.2 SolarWinds Major Business
2.14.3 SolarWinds Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.14.4 SolarWinds Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.14.5 SolarWinds Recent Developments and Future Plans
2.15 BMC Software
2.15.1 BMC Software Details
2.15.2 BMC Software Major Business
2.15.3 BMC Software Artificial Intelligence in IT Operations (AIOps) Product and Solutions
2.15.4 BMC Software Artificial Intelligence in IT Operations (AIOps) Revenue, Gross Margin and 麻豆原创 Share (2020-2025)
2.15.5 BMC Software Recent Developments and Future Plans
3 麻豆原创 Competition, by Players
3.1 Global Artificial Intelligence in IT Operations (AIOps) Revenue and Share by Players (2020-2025)
3.2 麻豆原创 Share Analysis (2024)
3.2.1 麻豆原创 Share of Artificial Intelligence in IT Operations (AIOps) by Company Revenue
3.2.2 Top 3 Artificial Intelligence in IT Operations (AIOps) Players 麻豆原创 Share in 2024
3.2.3 Top 6 Artificial Intelligence in IT Operations (AIOps) Players 麻豆原创 Share in 2024
3.3 Artificial Intelligence in IT Operations (AIOps) 麻豆原创: Overall Company Footprint Analysis
3.3.1 Artificial Intelligence in IT Operations (AIOps) 麻豆原创: Region Footprint
3.3.2 Artificial Intelligence in IT Operations (AIOps) 麻豆原创: Company Product Type Footprint
3.3.3 Artificial Intelligence in IT Operations (AIOps) 麻豆原创: Company Product Application Footprint
3.4 New 麻豆原创 Entrants and Barriers to 麻豆原创 Entry
3.5 Mergers, Acquisition, Agreements, and Collaborations
4 麻豆原创 Size Segment by Type
4.1 Global Artificial Intelligence in IT Operations (AIOps) Consumption Value and 麻豆原创 Share by Type (2020-2025)
4.2 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Forecast by Type (2026-2031)
5 麻豆原创 Size Segment by Application
5.1 Global Artificial Intelligence in IT Operations (AIOps) Consumption Value 麻豆原创 Share by Application (2020-2025)
5.2 Global Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Forecast by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence in IT Operations (AIOps) Consumption Value by Type (2020-2031)
6.2 North America Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Application (2020-2031)
6.3 North America Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Country
6.3.1 North America Artificial Intelligence in IT Operations (AIOps) Consumption Value by Country (2020-2031)
6.3.2 United States Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
6.3.3 Canada Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
6.3.4 Mexico Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
7 Europe
7.1 Europe Artificial Intelligence in IT Operations (AIOps) Consumption Value by Type (2020-2031)
7.2 Europe Artificial Intelligence in IT Operations (AIOps) Consumption Value by Application (2020-2031)
7.3 Europe Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Country
7.3.1 Europe Artificial Intelligence in IT Operations (AIOps) Consumption Value by Country (2020-2031)
7.3.2 Germany Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
7.3.3 France Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
7.3.4 United Kingdom Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
7.3.5 Russia Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
7.3.6 Italy Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Consumption Value by Type (2020-2031)
8.2 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Consumption Value by Application (2020-2031)
8.3 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Region
8.3.1 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Consumption Value by Region (2020-2031)
8.3.2 China Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8.3.3 Japan Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8.3.4 South Korea Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8.3.5 India Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8.3.6 Southeast Asia Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
8.3.7 Australia Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
9 South America
9.1 South America Artificial Intelligence in IT Operations (AIOps) Consumption Value by Type (2020-2031)
9.2 South America Artificial Intelligence in IT Operations (AIOps) Consumption Value by Application (2020-2031)
9.3 South America Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Country
9.3.1 South America Artificial Intelligence in IT Operations (AIOps) Consumption Value by Country (2020-2031)
9.3.2 Brazil Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
9.3.3 Argentina Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Consumption Value by Type (2020-2031)
10.2 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Consumption Value by Application (2020-2031)
10.3 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size by Country
10.3.1 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Consumption Value by Country (2020-2031)
10.3.2 Turkey Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
10.3.3 Saudi Arabia Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
10.3.4 UAE Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Size and Forecast (2020-2031)
11 麻豆原创 Dynamics
11.1 Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Drivers
11.2 Artificial Intelligence in IT Operations (AIOps) 麻豆原创 Restraints
11.3 Artificial Intelligence in IT Operations (AIOps) Trends Analysis
11.4 Porters Five Forces Analysis
11.4.1 Threat of New Entrants
11.4.2 Bargaining Power of Suppliers
11.4.3 Bargaining Power of Buyers
11.4.4 Threat of Substitutes
11.4.5 Competitive Rivalry
12 Industry Chain Analysis
12.1 Artificial Intelligence in IT Operations (AIOps) Industry Chain
12.2 Artificial Intelligence in IT Operations (AIOps) Upstream Analysis
12.3 Artificial Intelligence in IT Operations (AIOps) Midstream Analysis
12.4 Artificial Intelligence in IT Operations (AIOps) Downstream Analysis
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Research Process and Data Source
14.3 Disclaimer
IBM
Cisco
Amazon
Dynatrace
Splunk
Broadcom
New Relic
PagerDuty
Instana
Moogsoft
Datadog
AppDynamics
Turbonomic
SolarWinds
BMC Software
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*If Applicable.