Global Artificial Intelligence in IT Operations (AIOps) Market Research Report 2025

Publication ID:

PB503255869

Publication Date:

March 7, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence in IT Operations (AIOps) was valued at US$ million in the year 2024 and is projected to reach a revised size of US$ million by 2031, growing at a CAGR of %during the forecast 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 aims to provide a comprehensive presentation of the global market for Artificial Intelligence in IT Operations (AIOps), with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in IT Operations (AIOps).
The Artificial Intelligence in IT Operations (AIOps) market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Artificial Intelligence in IT Operations (AIOps) market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in IT Operations (AIOps) companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Cisco
Amazon
Dynatrace
Splunk
Broadcom
New Relic
PagerDuty
Instana
Moogsoft
Datadog
AppDynamics
Turbonomic
SolarWinds
BMC Software
Segment by Type
Base-on Private Cloud
Base-on Public Cloud
Base-on Hybrid Cloud
Segment by Application
Infrastructure Management
Real-Time Analysis
Network And Security Management
Application Performance Management
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in IT Operations (AIOps) company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in IT Operations (AIOps) Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Base-on Private Cloud
1.2.3 Base-on Public Cloud
1.2.4 Base-on Hybrid Cloud
1.3 Market by Application
1.3.1 Global Artificial Intelligence in IT Operations (AIOps) Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Infrastructure Management
1.3.3 Real-Time Analysis
1.3.4 Network And Security Management
1.3.5 Application Performance Management
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in IT Operations (AIOps) Market Perspective (2020-2031)
2.2 Global Artificial Intelligence in IT Operations (AIOps) Growth Trends by Region
2.2.1 Global Artificial Intelligence in IT Operations (AIOps) Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Region (2020-2025)
2.2.3 Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Region (2026-2031)
2.3 Artificial Intelligence in IT Operations (AIOps) Market Dynamics
2.3.1 Artificial Intelligence in IT Operations (AIOps) Industry Trends
2.3.2 Artificial Intelligence in IT Operations (AIOps) Market Drivers
2.3.3 Artificial Intelligence in IT Operations (AIOps) Market Challenges
2.3.4 Artificial Intelligence in IT Operations (AIOps) Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in IT Operations (AIOps) Players by Revenue
3.1.1 Global Top Artificial Intelligence in IT Operations (AIOps) Players by Revenue (2020-2025)
3.1.2 Global Artificial Intelligence in IT Operations (AIOps) Revenue Market Share by Players (2020-2025)
3.2 Global Artificial Intelligence in IT Operations (AIOps) Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Artificial Intelligence in IT Operations (AIOps) Revenue
3.4 Global Artificial Intelligence in IT Operations (AIOps) Market Concentration Ratio
3.4.1 Global Artificial Intelligence in IT Operations (AIOps) Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in IT Operations (AIOps) Revenue in 2024
3.5 Global Key Players of Artificial Intelligence in IT Operations (AIOps) Head office and Area Served
3.6 Global Key Players of Artificial Intelligence in IT Operations (AIOps), Product and Application
3.7 Global Key Players of Artificial Intelligence in IT Operations (AIOps), Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in IT Operations (AIOps) Breakdown Data by Type
4.1 Global Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Type (2020-2025)
4.2 Global Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Type (2026-2031)
5 Artificial Intelligence in IT Operations (AIOps) Breakdown Data by Application
5.1 Global Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Application (2020-2025)
5.2 Global Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Artificial Intelligence in IT Operations (AIOps) Market Size (2020-2031)
6.2 North America Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2020-2025)
6.4 North America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in IT Operations (AIOps) Market Size (2020-2031)
7.2 Europe Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2020-2025)
7.4 Europe Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size (2020-2031)
8.2 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size by Region (2020-2025)
8.4 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in IT Operations (AIOps) Market Size (2020-2031)
9.2 Latin America Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2020-2025)
9.4 Latin America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size (2020-2031)
10.2 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2020-2025)
10.4 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Details
11.1.2 IBM Business Overview
11.1.3 IBM Artificial Intelligence in IT Operations (AIOps) Introduction
11.1.4 IBM Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.1.5 IBM Recent Development
11.2 Cisco
11.2.1 Cisco Company Details
11.2.2 Cisco Business Overview
11.2.3 Cisco Artificial Intelligence in IT Operations (AIOps) Introduction
11.2.4 Cisco Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.2.5 Cisco Recent Development
11.3 Amazon
11.3.1 Amazon Company Details
11.3.2 Amazon Business Overview
11.3.3 Amazon Artificial Intelligence in IT Operations (AIOps) Introduction
11.3.4 Amazon Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.3.5 Amazon Recent Development
11.4 Dynatrace
11.4.1 Dynatrace Company Details
11.4.2 Dynatrace Business Overview
11.4.3 Dynatrace Artificial Intelligence in IT Operations (AIOps) Introduction
11.4.4 Dynatrace Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.4.5 Dynatrace Recent Development
11.5 Splunk
11.5.1 Splunk Company Details
11.5.2 Splunk Business Overview
11.5.3 Splunk Artificial Intelligence in IT Operations (AIOps) Introduction
11.5.4 Splunk Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.5.5 Splunk Recent Development
11.6 Broadcom
11.6.1 Broadcom Company Details
11.6.2 Broadcom Business Overview
11.6.3 Broadcom Artificial Intelligence in IT Operations (AIOps) Introduction
11.6.4 Broadcom Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.6.5 Broadcom Recent Development
11.7 New Relic
11.7.1 New Relic Company Details
11.7.2 New Relic Business Overview
11.7.3 New Relic Artificial Intelligence in IT Operations (AIOps) Introduction
11.7.4 New Relic Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.7.5 New Relic Recent Development
11.8 PagerDuty
11.8.1 PagerDuty Company Details
11.8.2 PagerDuty Business Overview
11.8.3 PagerDuty Artificial Intelligence in IT Operations (AIOps) Introduction
11.8.4 PagerDuty Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.8.5 PagerDuty Recent Development
11.9 Instana
11.9.1 Instana Company Details
11.9.2 Instana Business Overview
11.9.3 Instana Artificial Intelligence in IT Operations (AIOps) Introduction
11.9.4 Instana Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.9.5 Instana Recent Development
11.10 Moogsoft
11.10.1 Moogsoft Company Details
11.10.2 Moogsoft Business Overview
11.10.3 Moogsoft Artificial Intelligence in IT Operations (AIOps) Introduction
11.10.4 Moogsoft Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.10.5 Moogsoft Recent Development
11.11 Datadog
11.11.1 Datadog Company Details
11.11.2 Datadog Business Overview
11.11.3 Datadog Artificial Intelligence in IT Operations (AIOps) Introduction
11.11.4 Datadog Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.11.5 Datadog Recent Development
11.12 AppDynamics
11.12.1 AppDynamics Company Details
11.12.2 AppDynamics Business Overview
11.12.3 AppDynamics Artificial Intelligence in IT Operations (AIOps) Introduction
11.12.4 AppDynamics Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.12.5 AppDynamics Recent Development
11.13 Turbonomic
11.13.1 Turbonomic Company Details
11.13.2 Turbonomic Business Overview
11.13.3 Turbonomic Artificial Intelligence in IT Operations (AIOps) Introduction
11.13.4 Turbonomic Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.13.5 Turbonomic Recent Development
11.14 SolarWinds
11.14.1 SolarWinds Company Details
11.14.2 SolarWinds Business Overview
11.14.3 SolarWinds Artificial Intelligence in IT Operations (AIOps) Introduction
11.14.4 SolarWinds Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.14.5 SolarWinds Recent Development
11.15 BMC Software
11.15.1 BMC Software Company Details
11.15.2 BMC Software Business Overview
11.15.3 BMC Software Artificial Intelligence in IT Operations (AIOps) Introduction
11.15.4 BMC Software Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2020-2025)
11.15.5 BMC Software Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

IBM
Cisco
Amazon
Dynatrace
Splunk
Broadcom
New Relic
PagerDuty
Instana
Moogsoft
Datadog
AppDynamics
Turbonomic
SolarWinds
BMC Software

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