Artificial Intelligence for IT Operations (AIOps) Market - Global Industry Analysis

Artificial Intelligence for IT Operations (AIOps) Market – By Vertical (BFSI, IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector, and Energy & Utilities), By Application (Infrastructure Management, Network & Security Management, Application Performance Analysis, and Real-Time Analytics), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 03-Jun-2021 Category: Technology & Media Report Format : PDF Pages: 120 Report Code: ZMR-6150 Status : Published

The global Artificial Intelligence for IT Operations (AIOps) market, which was estimated at about 4.03 (USD Billion) in 2019 and is predicted to accrue earnings worth 17.2 (USD Billion) by 2026, is set to record a CAGR of nearly over 32% during 2020-2026.

Description

The global Artificial Intelligence for IT Operations (AIOps) market, which was estimated at about 4.03 (USD Billion) in 2019 and is predicted to accrue earnings worth 17.2 (USD Billion) by 2026, is set to record a CAGR of nearly over 32% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence for IT Operations (AIOps) market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Billion).

Report Scope :

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Artificial Intelligence for IT Operations (AIOps) Market: Synopsis

Artificial intelligence for IT operations tool relates data across network, infrastructure, and myriad applications. Furthermore, it makes use of advanced analytics, automation, and machine learning for delivering higher proportion of visibility as well as data-based recommendations. In addition to this, large-scale utility of online experience monitoring systems by giant firms for detecting infrastructure and various applications will create lucrative growth avenues for artificial intelligence for IT operations (AIOps) industry over the assessment period.

Artificial Intelligence for IT Operations (AIOps) Market: Growth Drivers

AIOps applies advanced analytics & machine learning tools for recognizing patterns in automation data and service desks, thereby driving market trends. In addition to this, artificial intelligence is utilized for IT functions for enhancing performance as well as improving its access on-premises & cloud. Apparently, AI minimizes noise as well as prioritizes critical operations of the firms. All these aforementioned aspects will open new dimensions of growth for artificial intelligence for IT operations (AIOps) market in the forthcoming years.

Moreover, AIOps tools aids DevOps processes along with supporting velocity of app releases.  Apart from this, these tools help in accurately identifying issues and predict models as well as estimating workload requirements for resource optimization & cost reduction. This, in turn, will carve a profitable growth graph for artificial intelligence for IT operations (AIOps) market over the forecast timeframe.

North America To Account For Highest Market Share Over 2020-2026

The growth of artificial intelligence for IT Operations (AIOps) market in North America is likely to expand leaps & bounds over forecast timeline due to presence of reputed vendors in the sub-continent. In addition to this, many of the tech giants are developing strong AIOps tools for slew of verticals. This will offer new growth avenues for regional market during the predicted timeline.

Key players profiled in the study and influencing the business growth include BMC Software, Inc., Moogsoft, Broadcom, VMare, Inc., AppDynamics, IBM Corporation, Splunk, Inc., and ProphetStor Data Services, Inc.

The global Artificial Intelligence for IT Operations (AIOps) Market is segmented as follows:

By Application:

  • Infrastructure Management
  • Network & Security Management
  • Application Performance Analysis
  • Real-Time Analytics

By Vertical:

  • BFSI
  • IT & Telecom
  • Healthcare & Life Sciences
  • Media & Entertainment
  • Retail & Ecommerce
  • Government & Public Sector
  • Energy & Utilities

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  • Chapter 2. Executive Summary
    • 2.1. Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
    • 2.2. Artificial Intelligence for IT Operations (AIOps)Market: Snapshot
  • Chapter 3. Global Artificial Intelligence for IT Operations (AIOps)Market– Industry Analysis
    • 3.1. Artificial Intelligence for IT Operations (AIOps)Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. AIOps applies advanced analytics & machine learning touls for recognizing patterns in automation data and service desks, thereby driving market trends.
      • 3.2.2. Artificial intelligence is utilized for IT functions for enhancing performance as well as improving its access on-premises & cloud. Apparently, AI minimizes noise as well as prioritizes critical operations of the firms. All these aforementioned aspects will open new dimensions of growth for artificial intelligence for IT operations (AIOps) market in the forthcoming years.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By Application
      • 3.4.2. Market attractiveness analysis By Vertical
  • Chapter 4. Global Artificial Intelligence for IT Operations (AIOps)Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Artificial Intelligence for IT Operations (AIOps)Market: company market share, 2018
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technology launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Artificial Intelligence for IT Operations (AIOps)Market– Application Analysis
    • 5.1. Global Artificial Intelligence for IT Operations (AIOps)Market overview: By Application
      • 5.1.1. Global Artificial Intelligence for IT Operations (AIOps)Market share, By Application , 2019 and 2026
    • 5.2. INFRASTRUCTURE MANAGEMENT
      • 5.2.1. Global Artificial Intelligence for IT Operations (AIOps)Market By INFRASTRUCTURE MANAGEMENT, 2016–2026 (USD Billion)
    • 5.3. NETWORK & SECURITY MANAGEMENT
      • 5.3.1. Global Artificial Intelligence for IT Operations (AIOps)Market By NETWORK & SECURITY MANAGEMENT, 2016–2026 (USD Billion)
    • 5.4. Application Performance Analysis
      • 5.4.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Application Performance Analysis, 2016–2026 (USD Billion)
    • 5.5. Real-Time Analytics
      • 5.5.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Real-Time Analytics, 2016–2026 (USD Billion)
  • Chapter 6. Global Artificial Intelligence for IT Operations (AIOps)Market– Vertical Analysis
    • 6.1. Global Artificial Intelligence for IT Operations (AIOps)Market overview: By Vertical
      • 6.1.1. Global Artificial Intelligence for IT Operations (AIOps)Market share, By Vertical, 2019 and 2026
    • 6.2. BFSI
      • 6.2.1. Global Artificial Intelligence for IT Operations (AIOps)Market By BFSI , 2016–2026 (USD Billion)
    • 6.3. IT & Telecom
      • 6.3.1. Global Artificial Intelligence for IT Operations (AIOps)Market By IT & Telecom, 2016–2026 (USD Billion)
    • 6.4. Healthcare & Life Sciences
      • 6.4.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Healthcare & Life Sciences, 2016–2026 (USD Billion)
    • 6.5. Media & Entertainment
      • 6.5.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Media & Entertainment, 2016–2026 (USD Billion)
    • 6.6. Retail & Ecommerce
      • 6.6.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Retail & Ecommerce, 2016–2026 (USD Billion)
    • 6.7. Government & Public Sector
      • 6.7.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Government & Public Sector, 2016–2026 (USD Billion)
    • 6.8. Energy & Utilities
      • 6.8.1. Global Artificial Intelligence for IT Operations (AIOps)Market By Energy & Utilities, 2016–2026 (USD Billion)
  • Chapter 7. Company Profiles
    • 7.1. BMC Software, Inc.
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technology Portfolio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. Moogsoft
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technology Portfolio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Broadcom
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technology Portfolio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. VMare, Inc.
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technology Portfolio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. AppDynamics
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technology Portfolio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. Splunk, Inc.
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technology Portfolio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. IBM Corporation
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Technology Portfolio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. ProphetStor Data Services, Inc.
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Technology Portfolio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development

List of Figures

1. Market research process
2. Market research methodology
3. Global Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
4. Porter’s Five Forces Analysis
5. Global Artificial Intelligence for IT Operations (AIOps)Market attractiveness, By Application
6. Global Artificial Intelligence for IT Operations (AIOps)Market attractiveness, By Vertical
7. Global Artificial Intelligence for IT Operations (AIOps)Market Share by Application ,2019 and 2026 (USD Billion)
8. Global Artificial Intelligence for IT Operations (AIOps)Market by INFRASTRUCTURE MANAGEMENT ,2016–2026 (USD Billion)
9. Global Artificial Intelligence for IT Operations (AIOps)Market by NETWORK & SECURITY MANAGEMENT,2016–2026 (USD Billion)
10. Global Artificial Intelligence for IT Operations (AIOps)Market by Application Performance Analysis,2016–2026 (USD Billion)
11. Global Artificial Intelligence for IT Operations (AIOps)Market by Real-Time Analytics,2016–2026 (USD Billion)
12. Global Artificial Intelligence for IT Operations (AIOps)Market Share by Vertical ,2019 and 2026 (USD Billion)
13. Global Artificial Intelligence for IT Operations (AIOps)Market by BFSI , 2016–2026 (USD Billion)
14. Global Artificial Intelligence for IT Operations (AIOps)Market by IT & Telecom, 2016–2026 (USD Billion)
15. Global Artificial Intelligence for IT Operations (AIOps)Market by Healthcare & Life Sciences, 2016–2026 (USD Billion)
16. Global Artificial Intelligence for IT Operations (AIOps)Market by Media & Entertainment, 2016–2026 (USD Billion)
17. Global Artificial Intelligence for IT Operations (AIOps)Market by Retail & Ecommerce, 2016–2026 (USD Billion)
18. Global Artificial Intelligence for IT Operations (AIOps)Market by Government & Public Sector, 2016–2026 (USD Billion)
19. Global Artificial Intelligence for IT Operations (AIOps)Market by Energy & Utilities,  2016–2026 (USD Billion)
20. Global Artificial Intelligence for IT Operations (AIOps)Market share, by Region, 2019 and 2026
21. North America Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
22. Europe Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
23. Asia Pacific Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
24. Latin America Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)
25. The Middle East and Africa Artificial Intelligence for IT Operations (AIOps)Market, 2016–2026 (USD Billion)


List of Tables

1. Global Artificial Intelligence for IT Operations (AIOps)Market: snapshot
2. Drivers of the Artificial Intelligence for IT Operations (AIOps)Market: impact analysis
3. North America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
4. North America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
5. The U.S. Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
6. The U.S. Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
7. Rest of North America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
8.  Rest of North America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
9.  Europe Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
10. Europe Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
11. UK Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
12. UK Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
13. France Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
14. France Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
15. Germany Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
16. Germany Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
17. Rest of Europe Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
18. Rest of Europe Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
19. Asia Pacific Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
20. Asia Pacific Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
21. China Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
22. China Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
23. Japan  Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
24. Japan Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
25. India Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
26. India Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
27. Rest of Asia Pacific Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
28. Rest of Asia Pacific Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
29. Latin America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
30. Latin America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
31. Brazil Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
32. Brazil Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
33. Rest of Latin America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
34. Rest of Latin America Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
35. The Middle East and Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
36. The Middle East and Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
37. Saudi Arabia Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
38. Saudi Arabia Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
39. South Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
40. South Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)
41. Rest of the Middle East & Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Application, 2016–2026 (USD Billion)
42. Rest of the Middle East & Africa Artificial Intelligence for IT Operations (AIOps)Market revenue, By Vertical, 2016–2026 (USD Billion)

 
 

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FrequentlyAsked Questions

AIOps applies advanced analytics & machine learning tools for recognizing patterns in automation data and service desks, thereby driving market trends. In addition to this, artificial intelligence is utilized for IT functions for enhancing performance as well as improving its access on-premises & cloud. Apparently, AI minimizes noise as well as prioritizes critical operations of the firms. All these aforementioned aspects will open new dimensions of growth for artificial intelligence for IT operations (AIOps) market in the forthcoming years. Moreover, AIOps tools aids DevOps processes along with supporting velocity of app releases. Apart from this, these tools help in accurately identifying issues and predict models as well as estimating workload requirements for resource optimization & cost reduction. This, in turn, will carve a profitable growth graph for artificial intelligence for IT operations (AIOps) market over the forecast timeframe.

According to Zion Market Research report, the global Artificial Intelligence for IT Operations (AIOps) market, which was estimated at about 4.03 (USD Billion) in 2019 and is predicted to accrue earnings worth 17.2 (USD Billion) by 2026, is set to record a CAGR of nearly over 32% during 2020-2026.

North America is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to presence of reputed vendors in the sub-continent. In addition to this, many of the tech giants are developing strong AIOps tools for slew of verticals. This will offer new growth avenues for regional market during the predicted timeline.

The key players profiled in the report include are BMC Software, Inc., Moogsoft, Broadcom, VMare, Inc., AppDynamics, IBM Corporation, Splunk, Inc., and ProphetStor Data Services, Inc.

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