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Artificial Intelligence in IT Operations (AIOps) Industry Research Report 2026
Market perspective
The global Artificial Intelligence in IT Operations (AIOps) market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the Artificial Intelligence in IT Operations (AIOps) market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the Artificial Intelligence in IT Operations (AIOps) market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the Artificial Intelligence in IT Operations (AIOps) market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of Artificial Intelligence in IT Operations (AIOps) include IBM, Cisco, Amazon, Dynatrace, Splunk, Broadcom, New Relic, PagerDuty and Instana, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global Artificial Intelligence in IT Operations (AIOps) market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to Artificial Intelligence in IT Operations (AIOps).
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
Artificial Intelligence in IT Operations (AIOps) Market by Company
IBM
Cisco
Amazon
Dynatrace
Splunk
Broadcom
New Relic
PagerDuty
Instana
Moogsoft
Datadog
AppDynamics
Turbonomic
SolarWinds
BMC Software
Artificial Intelligence in IT Operations (AIOps) Segment by Type
Base-on Private Cloud
Base-on Public Cloud
Base-on Hybrid Cloud
Artificial Intelligence in IT Operations (AIOps) Segment by Application
Infrastructure Management
Real-Time Analysis
Network And Security Management
Application Performance Management
Others
Artificial Intelligence in IT Operations (AIOps) Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Artificial Intelligence in IT Operations (AIOps) market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Artificial Intelligence in IT Operations (AIOps) and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Artificial Intelligence in IT Operations (AIOps).
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, 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 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments 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 5: 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 6: Detailed analysis of Artificial Intelligence in IT Operations (AIOps) companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Base-on Private Cloud
- Base-on Public Cloud
- Base-on Hybrid Cloud
Applications
- Infrastructure Management
- Real-Time Analysis
- Network And Security Management
- Application Performance Management
- Others
Companies covered
- IBM
- Cisco
- Amazon
- Dynatrace
- Splunk
- Broadcom
- New Relic
- PagerDuty
- Instana
- Moogsoft
- Datadog
- AppDynamics
- Turbonomic
- SolarWinds
- BMC Software
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 Artificial Intelligence in IT Operations (AIOps) by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Base-on Private Cloud
- 2.2.3 Base-on Public Cloud
- 2.2.4 Base-on Hybrid Cloud
- 2.3 Artificial Intelligence in IT Operations (AIOps) by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Infrastructure Management
- 2.3.3 Real-Time Analysis
- 2.3.4 Network And Security Management
- 2.3.5 Application Performance Management
- 2.3.6 Others
- 2.4 Assumptions and Limitations
3 Artificial Intelligence in IT Operations (AIOps) Breakdown Data by Type
- 3.1 Global Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Type (2021-2026)
- 3.2 Global Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Type (2027-2032)
4 Artificial Intelligence in IT Operations (AIOps) Breakdown Data by Application
- 4.1 Global Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Application (2021-2026)
- 4.2 Global Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global Artificial Intelligence in IT Operations (AIOps) Market Perspective (2021-2032)
- 5.2 Global Artificial Intelligence in IT Operations (AIOps) Growth Trends by Region
- 5.2.1 Global Artificial Intelligence in IT Operations (AIOps) Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 Artificial Intelligence in IT Operations (AIOps) Historic Market Size by Region (2021-2026)
- 5.2.3 Artificial Intelligence in IT Operations (AIOps) Forecasted Market Size by Region (2027-2032)
- 5.3 Artificial Intelligence in IT Operations (AIOps) Market Dynamics
- 5.3.1 Artificial Intelligence in IT Operations (AIOps) Industry Trends
- 5.3.2 Artificial Intelligence in IT Operations (AIOps) Market Drivers
- 5.3.3 Artificial Intelligence in IT Operations (AIOps) Market Challenges
- 5.3.4 Artificial Intelligence in IT Operations (AIOps) Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top Artificial Intelligence in IT Operations (AIOps) Players by Revenue
- 6.1.1 Global Top Artificial Intelligence in IT Operations (AIOps) Players by Revenue (2021-2026)
- 6.1.2 Global Artificial Intelligence in IT Operations (AIOps) Revenue Market Share by Players (2021-2026)
- 6.2 Global Artificial Intelligence in IT Operations (AIOps) Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of Artificial Intelligence in IT Operations (AIOps) Head Office and Area Served
- 6.4 Global Artificial Intelligence in IT Operations (AIOps) Players, Product Type & Application
- 6.5 Global Artificial Intelligence in IT Operations (AIOps) Manufacturers Established Date
- 6.6 Global Artificial Intelligence in IT Operations (AIOps) Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America Artificial Intelligence in IT Operations (AIOps) Market Size (2021-2032)
- 7.2 North America Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2021-2026)
- 7.4 North America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe Artificial Intelligence in IT Operations (AIOps) Market Size (2021-2032)
- 8.2 Europe Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2021-2026)
- 8.4 Europe Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size (2021-2032)
- 9.2 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2021-2026)
- 9.4 Asia-Pacific Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America Artificial Intelligence in IT Operations (AIOps) Market Size (2021-2032)
- 10.2 South America Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2021-2026)
- 10.4 South America Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size (2021-2032)
- 11.2 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2021-2026)
- 11.4 Middle East & Africa Artificial Intelligence in IT Operations (AIOps) Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 IBM
- 12.1.1 IBM Company Information
- 12.1.2 IBM Business Overview
- 12.1.3 IBM Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.1.4 IBM Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.1.5 IBM Recent Developments
- 12.2 Cisco
- 12.2.1 Cisco Company Information
- 12.2.2 Cisco Business Overview
- 12.2.3 Cisco Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.2.4 Cisco Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.2.5 Cisco Recent Developments
- 12.3 Amazon
- 12.3.1 Amazon Company Information
- 12.3.2 Amazon Business Overview
- 12.3.3 Amazon Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.3.4 Amazon Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.3.5 Amazon Recent Developments
- 12.4 Dynatrace
- 12.4.1 Dynatrace Company Information
- 12.4.2 Dynatrace Business Overview
- 12.4.3 Dynatrace Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.4.4 Dynatrace Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.4.5 Dynatrace Recent Developments
- 12.5 Splunk
- 12.5.1 Splunk Company Information
- 12.5.2 Splunk Business Overview
- 12.5.3 Splunk Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.5.4 Splunk Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.5.5 Splunk Recent Developments
- 12.6 Broadcom
- 12.6.1 Broadcom Company Information
- 12.6.2 Broadcom Business Overview
- 12.6.3 Broadcom Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.6.4 Broadcom Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.6.5 Broadcom Recent Developments
- 12.7 New Relic
- 12.7.1 New Relic Company Information
- 12.7.2 New Relic Business Overview
- 12.7.3 New Relic Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.7.4 New Relic Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.7.5 New Relic Recent Developments
- 12.8 PagerDuty
- 12.8.1 PagerDuty Company Information
- 12.8.2 PagerDuty Business Overview
- 12.8.3 PagerDuty Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.8.4 PagerDuty Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.8.5 PagerDuty Recent Developments
- 12.9 Instana
- 12.9.1 Instana Company Information
- 12.9.2 Instana Business Overview
- 12.9.3 Instana Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.9.4 Instana Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.9.5 Instana Recent Developments
- 12.10 Moogsoft
- 12.10.1 Moogsoft Company Information
- 12.10.2 Moogsoft Business Overview
- 12.10.3 Moogsoft Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.10.4 Moogsoft Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.10.5 Moogsoft Recent Developments
- 12.11 Datadog
- 12.11.1 Datadog Company Information
- 12.11.2 Datadog Business Overview
- 12.11.3 Datadog Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.11.4 Datadog Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.11.5 Datadog Recent Developments
- 12.12 AppDynamics
- 12.12.1 AppDynamics Company Information
- 12.12.2 AppDynamics Business Overview
- 12.12.3 AppDynamics Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.12.4 AppDynamics Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.12.5 AppDynamics Recent Developments
- 12.13 Turbonomic
- 12.13.1 Turbonomic Company Information
- 12.13.2 Turbonomic Business Overview
- 12.13.3 Turbonomic Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.13.4 Turbonomic Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.13.5 Turbonomic Recent Developments
- 12.14 SolarWinds
- 12.14.1 SolarWinds Company Information
- 12.14.2 SolarWinds Business Overview
- 12.14.3 SolarWinds Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.14.4 SolarWinds Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.14.5 SolarWinds Recent Developments
- 12.15 BMC Software
- 12.15.1 BMC Software Company Information
- 12.15.2 BMC Software Business Overview
- 12.15.3 BMC Software Revenue in Artificial Intelligence in IT Operations (AIOps) Business (2021-2026)
- 12.15.4 BMC Software Artificial Intelligence in IT Operations (AIOps) Product Portfolio
- 12.15.5 BMC Software Recent Developments
13 Report Conclusion
14 Disclaimer
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