Artificial Intelligence For IT Operations Platform Market to Reach US$ 32.5 Bn by 2030
The Artificial Intelligence For IT Operations Platform market is projected to reach US$ 32.5 Bn by 2030. And registering a CAGR of around 22.2% over the forecast period 2021 – 2030.
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Growth Factors
Rapid digital transformations in global business organizations have brought about increasingly complex datasets. Businesses spend a significant amount of time, cost, and effort on processing large volumes of data. IT operations are also on the edge of this transformation, wherein IT teams are required to manage complex datasets to sustain their business. Besides, there has been a considerable increase in data loads over the last few years due to the distributed architecture and dynamic nature of business applications and services. With the increasing IT agility requirement, AIOps has emerged as a way for IT operations teams to keep up with business demands, trends, and aggressive digitization of IT infrastructure.
Report Coverage
| Report Scope | Details |
| Market Size | US$ 32.5 billion by 2030 |
| Growth Rate | CAGR of 22.2% From 2021 to 2030 |
| Base Year | 2021 |
| Forecast Period | 2021 to 2030 |
| Segments Covered | Offering, Application, Deployment mode, Organization size, vertical |
| Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Companies Mentioned | AppDynamics; BMC Software, Inc.; Broadcom; HCL Technologies Limited; International Business Machines Corporation; Micro Focus; Moogsoft; ProphetStor Data Services, Inc.; Resolve Systems; Splunk Inc. |
By Offering Analysis
The platform offering segment held the AIOps platform market in 2020, accounting for over 89% share of the global revenue. AIOps vendors deliver reliable, responsive, and innovative platform experiences for business organizations to gain a competitive edge in the market.
Several companies offer AI technology for different IT applications, such as real-time analytics, infrastructure management, and network management. This platform enables infrastructure monitoring and business and IT service monitoring. The AIOps services segment is also expected to record a significant CAGR, owing to the growing need for implementation services for AIOps platforms that are deployed into existing systems.
By Deployment Mode Analysis
The on-premises deployment model segment held the market in 2020, accounting for over 71% share of the global revenue. Organizations mostly prefer deploying AI models on-premises owing to the risk associated with public cloud deployment.
The cloud deployment model segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fact that cloud-based AIOps platforms remove firewall restrictions that can hamper access to an on-premises solution.
By Organization Size Analysis
The large enterprises’ segment held the market in 2020, accounting for over 76% share of the global revenue. Large enterprises are deploying AIOps solutions for different industries, such as media and entertainment.
The SMEs segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fast-gained acceptance of digital solutions in every industry. Multiple AIOps solutions are being adopted by SMEs to improve their IT infrastructure management.
By Vertical Analysis
The BFSI segment held the market in 2020, accounting for over 20% share of the global revenue. AIOps technology for securing financial and banking-related data has grown considerably in this sector.
This high share can be attributed to the increasing IT operations and digital experiences in the financial services and banking sector. AI finds wide applications in banking and financial IT operations, including real-time analytics, solving complex IT issues, banking automation, and enhancing scalability, among other use-cases.
AIOps platform is used to improve IT agility for enterprises with extensive IT infrastructure or architecture and deal with multiple technologies with massive data. Application performance analysis is one of the most used applications in every vertical.
By Application Analysis
The real-time analytics application segment held the market in 2020, accounting for over 34% share of the global revenue. The manufacturing industry is leveraging real-time analytics in terms of production quality (vendor quality, data accuracy, and cost overruns), lead times (cycle time and customer service time), delivery reliability (schedule adherence and vendor delivery performance), and costs (waste rates, inventory turns, system complexity, and overhead efficiency).
The infrastructure management application segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fast-gained acceptance of AI across heavy IT infrastructure workloads.
By Regional Analysis
North America led the market in 2020, accounting for over 40% share of the global revenue. In the U.S., AI-based investment advisory consumer applications are getting traction to improve investment decisions. This can be attributed to the presence of numerous AIOps platform vendors in the region.
Asia Pacific is led to witness significant growth over the forecast period. This can be attributed to the rapid adoption of automation across various industries in the region. Furthermore, the fast generation of data in large volumes has paved the way for AI-based solutions and services, such as data analytics.
Key Players
- AppDynamics
- BMC Software, Inc.
- Broadcom
- HCL Technologies Limited
- International Business Machines Corporation
- Micro Focus
- Moogsoft
- ProphetStor Data Services, Inc.
- Resolve Systems
- Splunk Inc.
- VMware, Inc.
Market Segmentation
- Offering
- Platform
- Service
- Application
- Infrastructure Management
- Application Performance Analysis
- Real-Time Analytics
- Network & Security Management
- Others
- Deployment Mode
- Cloud
- On-Premises
- Organization Size
- SMEs
- Large Enterprises
- Vertical
- BFSI
- Healthcare & Life Sciences
- Retail & E-Commerce
- IT & Telecom
- Energy & Utilities
- Government & Public Sector
- Media & Entertainment
- Others
- Regional
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- U.K.
- France
- Asia Pacific
- China
- Japan
- India
- South America
- Brazil
- Middle East and Africa (MEA)
- North America
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Reasons to Purchase this Report:
– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
Table of Contents
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. Market Dynamics Analysis and Trends
5.1. Market Dynamics
5.1.1. Market Drivers
5.1.2. Market Restraints
5.1.3. Market Opportunities
5.2. Porter’s Five Forces Analysis
5.2.1. Bargaining power of suppliers
5.2.2. Bargaining power of buyers
5.2.3. Threat of substitute
5.2.4. Threat of new entrants
5.2.5. Degree of competition
Chapter 6. Competitive Landscape
6.1.1. Company Market Share/Positioning Analysis
6.1.2. Key Strategies Adopted by Players
6.1.3. Vendor Landscape
6.1.3.1. List of Suppliers
6.1.3.2. List of Buyers
Chapter 7. Global Artificial Intelligence For IT Operations Platform Market, By Offering
7.1. Artificial Intelligence For IT Operations Platform Market, by Offering, 2021-2030
7.1.1. Platform
7.1.1.1. Market Revenue and Forecast (2017-2030)
7.1.2. Service
7.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 8. Global Artificial Intelligence For IT Operations Platform Market, By Application
8.1. Artificial Intelligence For IT Operations Platform Market, by Application, 2021-2030
8.1.1. Infrastructure Management
8.1.1.1. Market Revenue and Forecast (2017-2030)
8.1.2. Application Performance Analysis
8.1.2.1. Market Revenue and Forecast (2017-2030)
8.1.3. Real-Time Analytics
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Network & Security Management
8.1.4.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Artificial Intelligence For IT Operations Platform Market, By Deployment Mode
9.1. Artificial Intelligence For IT Operations Platform Market, by Deployment Mode, 2021-2030
9.1.1. Cloud
9.1.1.1. Market Revenue and Forecast (2017-2030)
9.1.2. On-Premises
9.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Artificial Intelligence For IT Operations Platform Market, By Organization Size
10.1. Artificial Intelligence For IT Operations Platform Market, by Organization Size, 2021-2030
10.1.1. SMEs
10.1.1.1. Market Revenue and Forecast (2017-2030)
10.1.2. Large Enterprises
10.1.2.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Artificial Intelligence For IT Operations Platform Market, By Vertical
11.1. Artificial Intelligence For IT Operations Platform Market, by Vertical, 2021-2030
11.1.1. BFSI
11.1.1.1. Market Revenue and Forecast (2017-2030)
11.1.2. Healthcare & Life Sciences
11.1.2.1. Market Revenue and Forecast (2017-2030)
11.1.3. Retail & E-Commerce
11.1.3.1. Market Revenue and Forecast (2017-2030)
11.1.4. IT & Telecom
11.1.4.1. Market Revenue and Forecast (2017-2030)
11.1.5. Energy & Utilities
11.1.5.1. Market Revenue and Forecast (2017-2030)
11.1.6. Government & Public Sector
11.1.6.1. Market Revenue and Forecast (2017-2030)
11.1.7. Media & Entertainment
11.1.7.1. Market Revenue and Forecast (2017-2030)
Chapter 12. Global Artificial Intelligence For IT Operations Platform Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Offering (2017-2030)
12.1.2. Market Revenue and Forecast, by Application (2017-2030)
12.1.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.6. U.S.
12.1.6.1. Market Revenue and Forecast, by Offering (2017-2030)
12.1.6.2. Market Revenue and Forecast, by Application (2017-2030)
12.1.6.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.6.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.1.7. Rest of North America
12.1.7.1. Market Revenue and Forecast, by Offering (2017-2030)
12.1.7.2. Market Revenue and Forecast, by Application (2017-2030)
12.1.7.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.1.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.1.7.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Offering (2017-2030)
12.2.2. Market Revenue and Forecast, by Application (2017-2030)
12.2.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.6. UK
12.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)
12.2.6.2. Market Revenue and Forecast, by Application (2017-2030)
12.2.6.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.6.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.7. Germany
12.2.7.1. Market Revenue and Forecast, by Offering (2017-2030)
12.2.7.2. Market Revenue and Forecast, by Application (2017-2030)
12.2.7.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.7.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.8. France
12.2.8.1. Market Revenue and Forecast, by Offering (2017-2030)
12.2.8.2. Market Revenue and Forecast, by Application (2017-2030)
12.2.8.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.8.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.2.9. Rest of Europe
12.2.9.1. Market Revenue and Forecast, by Offering (2017-2030)
12.2.9.2. Market Revenue and Forecast, by Application (2017-2030)
12.2.9.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.2.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.2.9.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Offering (2017-2030)
12.3.2. Market Revenue and Forecast, by Application (2017-2030)
12.3.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.6. India
12.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)
12.3.6.2. Market Revenue and Forecast, by Application (2017-2030)
12.3.6.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.6.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.7. China
12.3.7.1. Market Revenue and Forecast, by Offering (2017-2030)
12.3.7.2. Market Revenue and Forecast, by Application (2017-2030)
12.3.7.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.7.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.8. Japan
12.3.8.1. Market Revenue and Forecast, by Offering (2017-2030)
12.3.8.2. Market Revenue and Forecast, by Application (2017-2030)
12.3.8.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.8.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.3.9. Rest of APAC
12.3.9.1. Market Revenue and Forecast, by Offering (2017-2030)
12.3.9.2. Market Revenue and Forecast, by Application (2017-2030)
12.3.9.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.3.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.3.9.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Offering (2017-2030)
12.4.2. Market Revenue and Forecast, by Application (2017-2030)
12.4.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.6. GCC
12.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)
12.4.6.2. Market Revenue and Forecast, by Application (2017-2030)
12.4.6.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.6.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.7. North Africa
12.4.7.1. Market Revenue and Forecast, by Offering (2017-2030)
12.4.7.2. Market Revenue and Forecast, by Application (2017-2030)
12.4.7.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.7.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.8. South Africa
12.4.8.1. Market Revenue and Forecast, by Offering (2017-2030)
12.4.8.2. Market Revenue and Forecast, by Application (2017-2030)
12.4.8.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.8.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.8.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.4.9. Rest of MEA
12.4.9.1. Market Revenue and Forecast, by Offering (2017-2030)
12.4.9.2. Market Revenue and Forecast, by Application (2017-2030)
12.4.9.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.4.9.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.4.9.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Offering (2017-2030)
12.5.2. Market Revenue and Forecast, by Application (2017-2030)
12.5.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.6. Brazil
12.5.6.1. Market Revenue and Forecast, by Offering (2017-2030)
12.5.6.2. Market Revenue and Forecast, by Application (2017-2030)
12.5.6.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.6.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.6.5. Market Revenue and Forecast, by Vertical (2017-2030)
12.5.7. Rest of LATAM
12.5.7.1. Market Revenue and Forecast, by Offering (2017-2030)
12.5.7.2. Market Revenue and Forecast, by Application (2017-2030)
12.5.7.3. Market Revenue and Forecast, by Deployment Mode (2017-2030)
12.5.7.4. Market Revenue and Forecast, by Organization Size (2017-2030)
12.5.7.5. Market Revenue and Forecast, by Vertical (2017-2030)
Chapter 13. Company Profiles
13.1. AppDynamics
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. BMC Software, Inc.
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Broadcom
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. HCL Technologies Limited
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. International Business Machines Corporation
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Micro Focus
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Moogsoft
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. ProphetStor Data Services, Inc.
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Resolve Systems
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Splunk Inc.
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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