Artificial Intelligence in IT Operations (AIOps) Market Size By Component, By Deployment Model, By Enterprise Size, By Application, By End-use & Forecast, 2023

Description

Global Artificial Intelligence in IT Operations (AIOps) Market is slated to grow substantially through 2032, owing to a paradigm shift to cloud solutions by enterprises. The AIOps' stellar demand can be attributed to AI's ability to perform anomaly detection, root cause diagnostics, predictive maintenance, closed-loop issue remediations, and critical functions in complex cloud environments. According to a report, 40% of all business workloads will be transferred to cloud infrastructure and platform services by 2023.

Besides, key market operators are seeking to gain a better foothold in the AIOps market by expanding their portfolios. To cite an instance, in March 2022, Deloitte introduced its AIOPS.D. As per reports, the AI-based business platform will be able to manage and execute core business processes, which will enable business enterprises to deliver their work effectively.

Overall, the artificial intelligence in IT Operations (AIOps) market is segmented on the basis of component, solution, service, deployment model, enterprise size, application, end user, and region.

Based on the component, the service segment is set to witness massive growth in the next ten years, owing to the increasing adoption of cloud computing, which will support the demand for managed services. Besides, the emergence of PaaS and SaaS will also contribute to the market growth.

In terms of service, the market is likely to be characterized by the managed services segment, which will grow at approximately 29.5% CAGR between 2023 and 2032. Since managed AIOps services help firms eliminate endpoint-generated threats, these are being increasingly adopted by organisations, fueling the market demand through the coming years.

On the basis of the deployment model, the on-premise segment will grow significantly through 2032. As AIOps can be controlled and managed on the premise and carried out by in-house resources, this allows organizations to customize their solutions, which will result in the segmental expansion.

In the context of enterprise size, the SMEs segment is set to register solid growth over the next decade, as the leading SMEs that are operating in the market are increasingly offering their services and solutions to market leaders. Besides, the SMEs which were established in the cloud and need to create and deploy software, are also adopting AIOps to improve their digital services.

AIOPs is expected to foresee extensive application for application performance management across different enterprises. The technology leverages artificial intelligence to make IT operations management easy and automate problem resolution in highly complex modern-day IT environments.

In the regional context, the AIOps market will grow significantly in North America, where it held 42% market share in 2022. More enterprises are focusing on monitoring tools to cater to the increasing demand for data capture, and this trend will continue to bolster the regional market through 2032. In addition, the growing prominence of leading industry giants in the continent would further stimulate the market scenario in the coming years.

Product Code: 5153

Chapter 1 Methodology & Scope

1.1 Market definition
1.2 Base estimates & forecast
1.3 Forecast calculations
1.4 Data Sources
- 1.4.1 Secondary
- 1.4.2 Primary
1.5 Industry Glossary

Chapter 2 Executive Summary

2.1 Artificial Intelligence in IT Operations (AIOps) industry 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Component trends
2.5 Deployment Model trends
2.6 Enterprise Size trends
2.7 Application trends
2.8 End-user trends

Chapter 3 Artificial Intelligence in IT Operations (AIOps) Industry Insights

3.1 Introduction
3.2 Impact of COVID-19 outbreak
- 3.2.1 By region
  - 3.2.1.1 North America
  - 3.2.1.2 Europe
  - 3.2.1.3 Asia Pacific
  - 3.2.1.4 Latin America
  - 3.2.1.5 Middle East & Africa
- 3.2.2 Strategies by major players to regain pre-COVID level growth
3.3 Impact analysis of Russia-Ukraine war
3.4 Artificial Intelligence in IT Operations (AIOps) industry ecosystem analysis
- 3.4.1 Domain-centric AIOps providers
- 3.4.2 Domain-agnostic AIOps providers
- 3.4.3 Cloud service providers
- 3.4.4 Third Party Service Providers
- 3.4.5 End-users
- 3.4.6 Profit margin analysis
- 3.4.7 Vendor matrix
3.5 Technology & innovation landscape
- 3.5.1 Real time incident response
- 3.5.2 Integration with observability platforms
- 3.5.3 Smart automation
- 3.5.4 AI enabled cybersecurity
3.6 Patent analysis
3.7 Investment portfolio
3.8 Industry news
- 3.8.1 North America
- 3.8.2 Europe
- 3.8.3 Asia Pacific
- 3.8.4 Latin America
- 3.8.5 Middle East & Africa
3.9 Regulatory landscape
- 3.9.1 International Standards
- 3.9.2 North America
- 3.9.3 Europe
- 3.9.4 Asia Pacific
- 3.9.5 Latin America
- 3.9.6 MEA
3.10 Industry impact forces
- 3.10.1 Growth drivers
  - 3.10.1.1 Growing demand of AI-based services for IT operations
  - 3.10.1.2 Rising affinity of enterprises to shift core business operations on the cloud
  - 3.10.1.3 Increasing end-to-end business application assurance and uptime
  - 3.10.1.4 Rising needs of businesses for holistic 360° visibility into IT operations
  - 3.10.1.5 Surging focus of enterprises on reducing IT capital expenditure
- 3.10.2 Industry pitfalls & challenges
  - 3.10.2.1 Growing complexities and dynamic nature of the IT architecture
  - 3.10.2.2 Increasing number of changes in IT operations
3.11 Growth potential analysis
3.12 Porter's analysis
- 3.12.1 Bargaining power of suppliers
- 3.12.2 Bargaining power of buyers
- 3.12.3 The threat of new entrants
- 3.12.4 The threat of substitute
- 3.12.5 Competitive rivalry
3.13 PESTEL analysis
- 3.13.1 Political
- 3.13.2 Economic
- 3.13.3 Social
- 3.13.4 Technological
- 3.13.5 Legal
- 3.13.6 Environmental

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, by revenue, 2022
- 4.2.1 Competitive analysis of major players, 2022
  - 4.2.1.1 IBM
  - 4.2.1.2 Splunk
  - 4.2.1.3 Cisco
  - 4.2.1.4 Dynatrace
  - 4.2.1.5 Elastic
- 4.2.2 Competitive analysis of market innovators, 2022
  - 4.2.2.1 Servicenow
  - 4.2.2.2 New Relic
  - 4.2.2.3 Datadog
  - 4.2.2.4 Broadcom CA
  - 4.2.2.5 BMC Software
- 4.2.3 Vendor adoption matrix
- 4.2.4 Strategic outlook matrix

Chapter 5 Artificial Intelligence in IT Operations (AIOps) Market, By Component

5.1 Key trends, by component
5.2 Solution
- 5.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.2 Domain-Agnostic AIOps
  - 5.2.2.1 Market estimates and forecast, 2018 - 2032
- 5.2.3 Domain-Centric AIOps
  - 5.2.3.1 Market estimates and forecast, 2018 - 2032
5.3 Service
- 5.3.1 Market estimates and forecast, 2018 - 2032
- 5.3.2 Professional Services
  - 5.3.2.1 Market estimates and forecast, 2018 - 2032
- 5.3.3 Managed Services
  - 5.3.3.1 Market estimates and forecast, 2018 - 2032

Chapter 6 Artificial Intelligence in IT Operations (AIOps) Market, By Deployment Model

6.1 Key trends, by deployment model
6.2 On-premise
- 6.2.1 Market estimates and forecast, 2018 - 2032
6.3 Cloud
- 6.3.1 Market estimates and forecast, 2018 - 2032

Chapter 7 Artificial Intelligence in IT Operations (AIOps) Market, By Enterprise Size

7.1 Key trends, by enterprise size
7.2 Large Enterprises
- 7.2.1 Market estimates and forecast, 2018 - 2032
7.3 SMEs
- 7.3.1 Market estimates and forecast, 2018 - 2032

Chapter 8 Artificial Intelligence in IT Operations (AIOps) Market, By Application

8.1 Key trends, by application
8.2 Infrastructure Management
- 8.2.1 Market estimates and forecast, 2018 - 2032
8.3 Real-Time Analytics
- 8.3.1 Market estimates and forecast, 2018 - 2032
8.4 Network & Security Management
- 8.4.1 Market estimates and forecast, 2018 - 2032
8.5 Application Performance Management
- 8.5.1 Market estimates and forecast, 2018 - 2032
8.6 Others
- 8.6.1 Market estimates and forecast, 2018 - 2032

Chapter 9 Artificial Intelligence in IT Operations (AIOps) Market, By End-user

9.1 Key trends, by end-user
9.2 BFSI
- 9.2.1 Market estimates and forecast, 2018 - 2032
9.3 IT & Telecom
- 9.3.1 Market estimates and forecast, 2018 - 2032
9.4 Healthcare
- 9.4.1 Market estimates and forecast, 2018 - 2032
9.5 Retail
- 9.5.1 Market estimates and forecast, 2018 - 2032
9.6 Government
- 9.6.1 Market estimates and forecast, 2018 - 2032
9.7 Manufacturing
- 9.7.1 Market estimates and forecast, 2018 - 2032
9.8 Media & Entertainment
- 9.8.1 Market estimates and forecast, 2018 - 2032
9.9 Others
- 9.9.1 Market estimates and forecast, 2018 - 2032

Chapter 10 Artificial Intelligence in IT Operations (AIOps) Market, By Region

10.1 Key trends, by region
10.2 North America
- 10.2.1 Market estimates and forecast, 2018 - 2032
- 10.2.2 Market estimates and forecast, by Component, 2018 - 2032
  - 10.2.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 10.2.2.2 Market estimates and forecast, by service, 2018 - 2032
- 10.2.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
- 10.2.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
- 10.2.5 Market estimates and forecast, by Application, 2018 - 2032
- 10.2.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.2.7 U.S.
  - 10.2.7.1 Market estimates and forecast, 2018 - 2032
  - 10.2.7.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.2.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.2.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.2.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.2.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.2.7.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.2.7.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.2.8 Canada
  - 10.2.8.1 Market estimates and forecast, 2018 - 2032
  - 10.2.8.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.2.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.2.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.2.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.2.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.2.8.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.2.8.6 Market estimates and forecast, by End-user, 2018 - 2032
10.3 Europe
- 10.3.1 Market estimates and forecast, 2018 - 2032
- 10.3.2 Market estimates and forecast, by Component, 2018 - 2032
  - 10.3.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 10.3.2.2 Market estimates and forecast, by service, 2018 - 2032
- 10.3.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
- 10.3.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
- 10.3.5 Market estimates and forecast, by Application, 2018 - 2032
- 10.3.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.7 UK
  - 10.3.7.1 Market estimates and forecast, 2018 - 2032
  - 10.3.7.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.7.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.7.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.8 Germany
  - 10.3.8.1 Market estimates and forecast, 2018 - 2032
  - 10.3.8.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.8.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.8.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.9 France
  - 10.3.9.1 Market estimates and forecast, 2018 - 2032
  - 10.3.9.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.9.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.9.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.10 Italy
  - 10.3.10.1 Market estimates and forecast, 2018 - 2032
  - 10.3.10.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.10.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.10.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.11 Spain
  - 10.3.11.1 Market estimates and forecast, 2018 - 2032
  - 10.3.11.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.11.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.11.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.11.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.11.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.3.12 Netherlands
  - 10.3.12.1 Market estimates and forecast, 2018 - 2032
  - 10.3.12.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.3.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.3.12.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.3.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.3.12.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.3.12.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.3.12.6 Market estimates and forecast, by End-user, 2018 - 2032
10.4 Asia Pacific
- 10.4.1 Market estimates and forecast, 2018 - 2032
- 10.4.2 Market estimates and forecast, by Component, 2018 - 2032
  - 10.4.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 10.4.2.2 Market estimates and forecast, by service, 2018 - 2032
- 10.4.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
- 10.4.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
- 10.4.5 Market estimates and forecast, by Application, 2018 - 2032
- 10.4.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.7 China
  - 10.4.7.1 Market estimates and forecast, 2018 - 2032
  - 10.4.7.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.7.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.7.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.8 India
  - 10.4.8.1 Market estimates and forecast, 2018 - 2032
  - 10.4.8.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.8.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.8.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.9 Japan
  - 10.4.9.1 Market estimates and forecast, 2018 - 2032
  - 10.4.9.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.9.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.9.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.10 Southeast Asia
  - 10.4.10.1 Market estimates and forecast, 2018 - 2032
  - 10.4.10.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.10.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.10.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.11 South Korea
  - 10.4.11.1 Market estimates and forecast, 2018 - 2032
  - 10.4.11.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.11.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.11.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.11.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.11.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.11.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.11.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.4.12 ANZ
  - 10.4.12.1 Market estimates and forecast, 2018 - 2032
  - 10.4.12.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.4.12.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.4.12.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.4.12.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.4.12.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.4.12.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.4.12.6 Market estimates and forecast, by End-user, 2018 - 2032
10.5 Latin America
- 10.5.1 Market estimates and forecast, 2018 - 2032
- 10.5.2 Market estimates and forecast, by Component, 2018 - 2032
  - 10.5.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 10.5.2.2 Market estimates and forecast, by service, 2018 - 2032
- 10.5.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
- 10.5.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
- 10.5.5 Market estimates and forecast, by Application, 2018 - 2032
- 10.5.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.5.7 Brazil
  - 10.5.7.1 Market estimates and forecast, 2018 - 2032
  - 10.5.7.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.5.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.5.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.5.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.5.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.5.7.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.5.7.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.5.8 Mexico
  - 10.5.8.1 Market estimates and forecast, 2018 - 2032
  - 10.5.8.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.5.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.5.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.5.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.5.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.5.8.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.5.8.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.5.9 Argentina
  - 10.5.9.1 Market estimates and forecast, 2018 - 2032
  - 10.5.9.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.5.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.5.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.5.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.5.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.5.9.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.5.9.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.5.10 Colombia
  - 10.5.10.1 Market estimates and forecast, 2018 - 2032
  - 10.5.10.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.5.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.5.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.5.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.5.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.5.10.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.5.10.6 Market estimates and forecast, by End-user, 2018 - 2032
10.6 MEA
- 10.6.1 Market estimates and forecast, 2018 - 2032
- 10.6.2 Market estimates and forecast, by Component, 2018 - 2032
  - 10.6.2.1 Market estimates and forecast, by solution, 2018 - 2032
  - 10.6.2.2 Market estimates and forecast, by service, 2018 - 2032
- 10.6.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
- 10.6.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
- 10.6.5 Market estimates and forecast, by Application, 2018 - 2032
- 10.6.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.6.7 South Africa
  - 10.6.7.1 Market estimates and forecast, 2018 - 2032
  - 10.6.7.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.6.7.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.6.7.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.6.7.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.6.7.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.6.7.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.6.7.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.6.8 UAE
  - 10.6.8.1 Market estimates and forecast, 2018 - 2032
  - 10.6.8.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.6.8.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.6.8.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.6.8.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.6.8.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.6.8.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.6.8.6 Market estimates and forecast, by End-user, 2018 - 2032
  - 10.6.8.7
- 10.6.9 Saudi Arabia
  - 10.6.9.1 Market estimates and forecast, 2018 - 2032
  - 10.6.9.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.6.9.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.6.9.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.6.9.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.6.9.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.6.9.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.6.9.6 Market estimates and forecast, by End-user, 2018 - 2032
- 10.6.10 Israel
  - 10.6.10.1 Market estimates and forecast, 2018 - 2032
  - 10.6.10.2 Market estimates and forecast, by Component, 2018 - 2032
    - 10.6.10.2.1 Market estimates and forecast, by solution, 2018 - 2032
    - 10.6.10.2.2 Market estimates and forecast, by service, 2018 - 2032
  - 10.6.10.3 Market estimates and forecast, by Deployment Model, 2018 - 2032
  - 10.6.10.4 Market estimates and forecast, by Enterprise size, 2018 - 2032
  - 10.6.10.5 Market estimates and forecast, by Application, 2018 - 2032
  - 10.6.10.6 Market estimates and forecast, by End-user, 2018 - 2032

Chapter 11 Company Profiles

11.1 Amelia (IPsoft) US LLC
- 11.1.1 Business Overview
- 11.1.2 Financial Data
- 11.1.3 Product Landscape
- 11.1.4 Strategic Outlook
- 11.1.5 SWOT Analysis
11.2 Bigpanda
- 11.2.1 Business Overview
- 11.2.2 Financial Data
- 11.2.3 Product Landscape
- 11.2.4 Strategic Outlook
- 11.2.5 SWOT Analysis
11.3 BMC Software Inc.
- 11.3.1 Business Overview
- 11.3.2 Financial Data
- 11.3.3 Product Landscape
- 11.3.4 Strategic Outlook
- 11.3.5 SWOT Analysis
11.4 Broadcom Inc.
- 11.4.1 Business Overview
- 11.4.2 Financial Data
- 11.4.3 Product Landscape
- 11.4.4 Strategic Outlook
- 11.4.5 SWOT Analysis
11.5 Cisco Systems Inc.
- 11.5.1 Business Overview
- 11.5.2 Financial Data
- 11.5.3 Product Landscape
- 11.5.4 Strategic Outlook
- 11.5.5 SWOT Analysis
11.6 Datadog Inc.
- 11.6.1 Business Overview
- 11.6.2 Financial Data
- 11.6.3 Product Landscape
- 11.6.4 Strategic Outlook
- 11.6.5 SWOT Analysis
11.7 Digital.ai (CollabNet VersionOne)
- 11.7.1 Business Overview
- 11.7.2 Financial Data
- 11.7.3 Product Landscape
- 11.7.4 Strategic Outlook
- 11.7.5 SWOT Analysis
11.8 Digitate
- 11.8.1 Business Overview
- 11.8.2 Financial Data
- 11.8.3 Product Landscape
- 11.8.4 Strategic Outlook
- 11.8.5 SWOT Analysis
11.9 Dynatrace Inc.
- 11.9.1 Business Overview
- 11.9.2 Financial Data
- 11.9.3 Product Landscape
- 11.9.4 Strategic Outlook
- 11.9.5 SWOT Analysis
11.10 ExtraHop Networks Inc.
- 11.10.1 Business Overview
- 11.10.2 Financial Data
- 11.10.3 Product Landscape
- 11.10.4 Strategic Outlook
- 11.10.5 SWOT Analysis
- 11.10.6 SWOT Analysis
11.11 Harness Inc.
- 11.11.1 Business Overview
- 11.11.2 Financial Data
- 11.11.3 Product Landscape
- 11.11.4 Strategic Outlook
- 11.11.5 SWOT Analysis
- 11.11.6 SWOT Analysis
11.12 IBM Corporation
- 11.12.1 Business Overview
- 11.12.2 Financial Data
- 11.12.3 Product Landscape
- 11.12.4 Strategic Outlook
- 11.12.5 SWOT Analysis
- 11.12.6 SWOT Analysis
11.13 Logz.io Inc.
- 11.13.1 Business Overview
- 11.13.2 Financial Data
- 11.13.3 Product Landscape
- 11.13.4 Strategic Outlook
- 11.13.5 SWOT Analysis
11.14 Moogsoft Inc.
- 11.14.1 Business Overview
- 11.14.2 Financial Data
- 11.14.3 Product Landscape
- 11.14.4 Strategic Outlook
- 11.14.5 SWOT Analysis
11.15 New Relic Inc.
- 11.15.1 Business Overview
- 11.15.2 Financial Data
- 11.15.3 Product Landscape
- 11.15.4 Strategic Outlook
- 11.15.5 SWOT Analysis
11.16 Octillion Power Systems
- 11.16.1 Business Overview
- 11.16.2 Financial Data
- 11.16.3 Product Landscape
- 11.16.4 Strategic Outlook
- 11.16.5 SWOT Analysis
11.17 OverOps Inc.
- 11.17.1 Business Overview
- 11.17.2 Financial Data
- 11.17.3 Product Landscape
- 11.17.4 Strategic Outlook
- 11.17.5 SWOT Analysis
11.18 PagerDuty Inc.
- 11.18.1 Business Overview
- 11.18.2 Financial Data
- 11.18.3 Product Landscape
- 11.18.4 Strategic Outlook
- 11.18.5 SWOT Analysis
11.19 Pico Inc.
- 11.19.1 Business Overview
- 11.19.2 Financial Data
- 11.19.3 Product Landscape
- 11.19.4 Strategic Outlook
- 11.19.5 SWOT Analysis
- 11.19.6 SWOT Analysis
11.20 ScienceLogic Inc.
- 11.20.1 Business Overview
- 11.20.2 Financial Data
- 11.20.3 Product Landscape
- 11.20.4 Strategic Outlook
- 11.20.5 SWOT Analysis
- 11.20.6 SWOT Analysis
11.21 Servicenow
- 11.21.1 Business Overview
- 11.21.2 Financial Data
- 11.21.3 Product Landscape
- 11.21.4 Strategic Outlook
- 11.21.5 SWOT Analysis
- 11.21.6 SWOT Analysis
11.22 Splunk Inc.
- 11.22.1 Business Overview
- 11.22.2 Financial Data
- 11.22.3 Product Landscape
- 11.22.4 Strategic Outlook
- 11.22.5 SWOT Analysis
11.23 StackState Inc.
- 11.23.1 Business Overview
- 11.23.2 Financial Data
- 11.23.3 Product Landscape
- 11.23.4 Strategic Outlook
- 11.23.5 SWOT Analysis
11.24 Sumo Logic Inc.
- 11.24.1 Business Overview
- 11.24.2 Financial Data
- 11.24.3 Product Landscape
- 11.24.4 Strategic Outlook
- 11.24.5 SWOT Analysis
11.25 Virtana Corporation
- 11.25.1 Business Overview
- 11.25.2 Financial Data
- 11.25.3 Product Landscape
- 11.25.4 Strategic Outlook
- 11.25.5 SWOT Analysis

Artificial Intelligence in IT Operations (AIOps) Market Size By Component, By Deployment Model, By Enterprise Size, By Application, By End-use & Forecast, 2023 - 2032