Global Artificial intelligence for the IT operations platform Market is valued at approximately USD 7.1 billion in 2021 and is anticipated to grow with a healthy growth rate of more than 17.7% over the forecast period 2022-2028. AIOps can be defined as the application of AI, and related technologies, such as machine learning and Natural Language Processing (NLP) to automate the traditional IT Ops activities and tasks. AIOps platform is used across different industries to automate several functions such as management of big data, Performance analysis, Anomaly detection, Event correlation and analysis as well as IT service management among others. The increasing cloud-based infrastructure in the IT sector and rising demand for AI-based Applications as well as strategic initiatives from leading market players are key factors accelerating the growth of the Market. For instance, according to Statista, the AI software market is estimated to reach a target of 126 billion USD by 2025. And as per sources, 37% of organizations have already implemented AI in some or other form. the need for employees for AI has also grown by over 270% in last the 4 years i.e., 2018-2022. Moreover, leading market players are coming up with new products to leverage the growing adoption of the AIOps Platform. For instance, in Dec 2021, Newbury, UK based Micro Focus launched its new Operations Bridge - SaaS AIOps platform. This new platform is intended for IT organizations. Also, increasing investment in AI from various industries and rising integration of IT operations with AI would create lucrative growth opportunities for the Market during the forecast period. However, rising concern over data security and privacy impedes the market growth throughout the forecast period of 2022-2028.
The key regions considered for the Global Artificial intelligence for IT operations platform Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America is the leading region in terms of market share, owing to the factors such as consumer application AI-based investing advice is becoming more popular to improve investment decisions and the presence of multiple AIOps platform vendors in North America. The Asia Pacific is expected to grow significantly during the forecast period, owing to the rapid acclimatization of AIOps platforms. Moreover, the large data volume presence has created a way to make the Asia Pacific region adopt AI-based solutions and services such as business/data analytics.
Major market players included in this report are:
AppDynamics
BMC Software, Inc.
Broadcom
HCL Technologies Limited
International Business Machines Corporation
Micro Focus
Moogsoft
ProphetStor Data Services, Inc.
Resolve Systems
Splunk Inc.
The objective of the study is to define the market sizes of different segments & countries in recent years and to forecast the values for the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Offering:
Service
Platform
By Application:
Application Performance Analysis
Infrastructure Management
Real-Time Analytics
Network & Security Management
Others
By Deployment Mode:
On-premises
Cloud
By Organization Size:
Large Enterprises
SMEs
By End Use Industry:
Healthcare & Life Sciences
BFSI
Retail & E-commerce
IT & Telecom
Energy & Utilities
Government & Public Sector
Media & Entertainment
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year - 2018, 2019, 2020
Base year - 2021
Forecast period: - 2022 to 2028
Target Audience of the Global Artificial intelligence for IT operations platform Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors
Table of Contents
Chapter 1. Executive Summary
- 1.1. Market Snapshot
- 1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
- 1.2.1. Global Artificial intelligence for IT operations platform (AIOps) Market, by Region, 2020-2028 (USD Billion)
- 1.2.2. Global Artificial intelligence for IT operations platform (AIOps) Market, by Offering, 2020-2028 (USD Billion)
- 1.2.3. Global Artificial intelligence for IT operations platform (AIOps) Market, by Application, 2020-2028 (USD Billion)
- 1.2.4. Global Artificial intelligence for IT operations platform (AIOps) Market, by Deployment Mode, 2020-2028 (USD Billion)
- 1.2.5. Global Artificial intelligence for IT operations platform (AIOps) Market, by Organization Size, 2020-2028 (USD Billion)
- 1.2.6. Global Artificial intelligence for IT operations platform (AIOps) Market, by End Use Industry, 2020-2028 (USD Billion)
- 1.3. Key Trends
- 1.4. Estimation Methodology
- 1.5. Research Assumption
Chapter 2. Global Artificial intelligence for IT operations platform (AIOps) Market Definition and Scope
- 2.1. Objective of the Study
- 2.2. Market Definition & Scope
- 2.2.1. Scope of the Study
- 2.2.2. Industry Evolution
- 2.3. Years Considered for the Study
- 2.4. Currency Conversion Rates
Chapter 3. Global Artificial intelligence for IT operations platform (AIOps) Market Dynamics
- 3.1. Artificial intelligence for IT operations platform (AIOps) Market Impact Analysis (2020-2028)
- 3.1.1. Market Drivers
- 3.1.1.1. Increasing cloud-based infrastructure in IT sector
- 3.1.1.2. Rising demand for AI-based Applications
- 3.1.1.3. Strategic initiatives from leading market players.
- 3.1.2. Market Challenges
- 3.1.2.1. Rising concern over data privacy and protection
- 3.1.3. Market Opportunities
- 3.1.3.1. Increasing investment towards AI from various industries
- 3.1.3.2. Rising integration of IT operation with AI.
Chapter 4. Global Artificial intelligence for IT operations platform (AIOps) Market Industry Analysis
- 4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2028)
- 4.2. PEST Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.3. Investment Adoption Model
- 4.4. Analyst Recommendation & Conclusion
- 4.5. Top investment opportunity
- 4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
- 5.1.1. Assessment of the overall impact of COVID-19 on the industry
- 5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Artificial intelligence for IT operations platform (AIOps) Market, by Offering
- 6.1. Market Snapshot
- 6.2. Global Artificial intelligence for IT operations platform (AIOps) Market by Offering, Performance - Potential Analysis
- 6.3. Global Artificial intelligence for IT operations platform (AIOps) Market Estimates & Forecasts by Offering 2018-2028 (USD Billion)
- 6.4. Artificial intelligence for IT operations platform (AIOps) Market, Sub Segment Analysis
- 6.4.1. Platform
- 6.4.2. Service
Chapter 7. Global Artificial intelligence for IT operations platform (AIOps) Market, by Application
- 7.1. Market Snapshot
- 7.2. Global Artificial intelligence for IT operations platform (AIOps) Market by Application, Performance - Potential Analysis
- 7.3. Global Artificial intelligence for IT operations platform (AIOps) Market Estimates & Forecasts by Application 2018-2028 (USD Billion)
- 7.4. Artificial intelligence for IT operations platform (AIOps) Market, Sub Segment Analysis
- 7.4.1. Application Performance Analysis
- 7.4.2. Infrastructure Management
- 7.4.3. Real-Time Analytics
- 7.4.4. Network & Security Management
- 7.4.5. Others
Chapter 8. Global Artificial intelligence for IT operations platform (AIOps) Market, by Deployment Mode
- 8.1. Market Snapshot
- 8.2. Global Artificial intelligence for IT operations platform (AIOps) Market by Deployment Mode, Performance - Potential Analysis
- 8.3. Global Artificial intelligence for IT operations platform (AIOps) Market Estimates & Forecasts by Deployment Mode 2018-2028 (USD Billion)
- 8.4. Artificial intelligence for IT operations platform (AIOps) Market, Sub Segment Analysis
- 8.4.1. On-premises
- 8.4.2. Cloud
Chapter 9. Global Artificial intelligence for IT operations platform (AIOps) Market, by Organization Size
- 9.1. Market Snapshot
- 9.2. Global Artificial intelligence for IT operations platform (AIOps) Market by Organization Size, Performance - Potential Analysis
- 9.3. Global Artificial intelligence for IT operations platform (AIOps) Market Estimates & Forecasts by Organization Size 2018-2028 (USD Billion)
- 9.4. Artificial intelligence for IT operations platform (AIOps) Market, Sub Segment Analysis
- 9.4.1. Large Enterprises
- 9.4.2. SMEs
Chapter 10. Global Artificial intelligence for IT operations platform (AIOps) Market, by End Use Industry
- 10.1. Market Snapshot
- 10.2. Global Artificial intelligence for IT operations platform (AIOps) Market by End Use Industry, Performance - Potential Analysis
- 10.3. Global Artificial intelligence for IT operations platform (AIOps) Market Estimates & Forecasts by End Use Industry 2018-2028 (USD Billion)
- 10.4. Artificial intelligence for IT operations platform (AIOps) Market, Sub Segment Analysis
- 10.4.1. Healthcare & Life Sciences
- 10.4.2. BFSI
- 10.4.3. Retail & E-commerce
- 10.4.4. IT & Telecom
- 10.4.5. Energy & Utilities
- 10.4.6. Government & Public Sector
- 10.4.7. Media & Entertainment
- 10.4.8. Others
Chapter 11. Global Artificial intelligence for IT operations platform (AIOps) Market, Regional Analysis
- 11.1. Artificial intelligence for IT operations platform (AIOps) Market, Regional Market Snapshot
- 11.2. North America Artificial intelligence for IT operations platform (AIOps) Market
- 11.2.1. U.S. Artificial intelligence for IT operations platform (AIOps) Market
- 11.2.1.1. Offering estimates & forecasts, 2018-2028
- 11.2.1.2. Application estimates & forecasts, 2018-2028
- 11.2.1.3. Deployment Mode estimates & forecasts, 2018-2028
- 11.2.1.4. Organization size estimates & forecasts, 2018-2028
- 11.2.1.5. End Use Industry estimates & forecasts, 2018-2028
- 11.2.2. Canada Artificial intelligence for IT operations platform (AIOps) Market
- 11.3. Europe Artificial intelligence for IT operations platform (AIOps) Market Snapshot
- 11.3.1. U.K. Artificial intelligence for IT operations platform (AIOps) Market
- 11.3.2. Germany Artificial intelligence for IT operations platform (AIOps) Market
- 11.3.3. France Artificial intelligence for IT operations platform (AIOps) Market
- 11.3.4. Spain Artificial intelligence for IT operations platform (AIOps) Market
- 11.3.5. Italy Artificial intelligence for IT operations platform (AIOps) Market
- 11.3.6. Rest of Europe Artificial intelligence for IT operations platform (AIOps) Market
- 11.4. Asia-Pacific Artificial intelligence for IT operations platform (AIOps) Market Snapshot
- 11.4.1. China Artificial intelligence for IT operations platform (AIOps) Market
- 11.4.2. India Artificial intelligence for IT operations platform (AIOps) Market
- 11.4.3. Japan Artificial intelligence for IT operations platform (AIOps) Market
- 11.4.4. Australia Artificial intelligence for IT operations platform (AIOps) Market
- 11.4.5. South Korea Artificial intelligence for IT operations platform (AIOps) Market
- 11.4.6. Rest of Asia Pacific Artificial intelligence for IT operations platform (AIOps) Market
- 11.5. Latin America Artificial intelligence for IT operations platform (AIOps) Market Snapshot
- 11.5.1. Brazil Artificial intelligence for IT operations platform (AIOps) Market
- 11.5.2. Mexico Artificial intelligence for IT operations platform (AIOps) Market
- 11.6. Rest of The World Artificial intelligence for IT operations platform (AIOps) Market
Chapter 12. Competitive Intelligence
- 12.1. Top Market Strategies
- 12.2. Company Profiles
- 12.2.1. AppDynamics
- 12.2.1.1. Key Information
- 12.2.1.2. Overview
- 12.2.1.3. Financial (Subject to Data Availability)
- 12.2.1.4. Product Summary
- 12.2.1.5. Recent Developments
- 12.2.2. BMC Software, Inc.
- 12.2.3. Broadcom
- 12.2.4. HCL Technologies Limited
- 12.2.5. International Business Machines Corporation
- 12.2.6. Micro Focus
- 12.2.7. Moogsoft
- 12.2.8. ProphetStor Data Services, Inc.
- 12.2.9. Resolve Systems
- 12.2.10. Splunk Inc
Chapter 13. Research Process
- 13.1. Research Process
- 13.1.1. Data Mining
- 13.1.2. Analysis
- 13.1.3. Market Estimation
- 13.1.4. Validation
- 13.1.5. Publishing
- 13.2. Research Attributes
- 13.3. Research Assumption