Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global AI For IT Operations Market by Type (Cloud Deployment, Local Deployment), By Application (IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global AI For IT Operations Market by Type (Cloud Deployment, Local Deployment), By Application (IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 372497 4200 Service & Software 377 245 Pages 5 (44)
                                          

Market Overview:


The global AI for IT operations market is expected to grow at a CAGR of 27.5% during the forecast period from 2018 to 2030. The growth of the market can be attributed to the increasing demand for AI-enabled solutions for improving operational efficiency and reducing costs. In addition, the growing adoption of cloud-based deployment models is also contributing to the growth of this market. The global AI for IT operations market by type is segmented into cloud deployment and local deployment. The cloud deployment segment is further sub-segmented into public cloud, private cloud, and hybrid cloud deployments. The local deployment segment includes on-premises deployments. By application, the global AI for IT operations market is divided into five segments: IT & telecom, healthcare & life sciences, media & entertainment, retail & ecommerce, and government & public sector. North America accounted for the largest share of this market in 2017 owing to early adoption of advanced technologies in this region coupled with presence of major players such as IBM Corporation (US), Microsoft Corporation (US), Google LLC (US), Intel Corporation (US), Salesforce Inc.


Global AI For IT Operations Industry Outlook


Product Definition:


AI for IT Operations is a term used to describe the use of artificial intelligence and machine learning technologies within the context of information technology (IT) operations. The goal of AI for IT Operations is to improve the efficiency and effectiveness of IT operations by automating tasks, improving decision making, and providing insights that would otherwise be unavailable.


Cloud Deployment:


Cloud deployment is a service-oriented architecture model that involves the delivery of applications, services, and solutions to customers through a cloud network. It helps organizations reduce their IT infrastructure costs by offering them scalable and flexible computing resources at lower prices. Cloud deployment also offers benefits such as increased efficiency in operations & reduced operational cost which further help enterprises in achieving their business goals with enhanced user experience.


Local Deployment:


Local deployment is a method of deploying an application or software solution on-premises, which means that the solutions are installed and run from the IT department's existing infrastructure. The main objective of local deployment is to ensure that solutions can be controlled under a company’s private network. In addition, it helps in reducing security risks as well as improves cost efficiency by allowing companies to reduce their dependency on third-party vendors for managing IT systems and applications.


Application Insights:


The IT & telecom segment dominated the market in 2017 and is expected to continue its dominance over the forecast period. The growth can be attributed to factors such as increasing demand for AI-enabled solutions from service providers, growing adoption of chatbots by telecom companies, and rising need for managing complex networks with improved efficiency.


The healthcare & life sciences industry has been one of the leading adopters of AI in operations due to a high volume of data processed by medical devices and software across various applications. For instance, Medtronic uses natural language processing (NLP) technology that enables clinicians and researchers working with electronic health records (EHRs) to extract meaningful information more quickly than before through speech recognition capabilities embedded into hardware and software products. Such technological advancements are expected drive industry growth over the forecast period.


Regional Analysis:


The North American regional market is anticipated to dominate the global AI for IT operations market and accounted for over 35% of the total revenue share in 2017. The growth can be attributed to increasing investments in automation, technological advancements, and adoption of cloud-based technologies across various industries. Moreover, presence of major players such as IBM Corporation; Google LLC; Microsoft Corporation; Amazon Web Services Inc.; Hewlett Packard Enterprise Development LP; Cisco Systems, Inc.; and Google LLC is expected to drive demand over the forecast period.


Asia Pacific region is projected to witness significant growth during the forecast period owing to increased spending on infrastructure development by several governments across countries such as China and India. In addition, rising number of cyberattacks has led businesses/government agencies in Asia Pacific region adopt advanced security solutions that include artificial intelligence (AI) based tools for threat detection & analysis purposes. Furthermore these factors are expected contribute towards regional market growth during the forecast period from 2018 to 2030  timeframe).


Growth Factors:


  • Increased demand for AI-powered IT operations solutions from small and medium businesses (SMBs) due to the growing awareness of the benefits of AI-powered IT operations solutions.
  • The increasing popularity of DevOps, which is helping to drive demand for AI-powered IT operations solutions.
  • The increasing use of cloud computing, which is helping to fuel demand for AI-powered IT operations solutions.
  • The growing number of cyberattacks, which is leading organizations to seek out AI-powered IT operations solutions that can help them better defend against such attacks.

Scope Of The Report

Report Attributes

Report Details

Report Title

AI For IT Operations Market Research Report

By Type

Cloud Deployment, Local Deployment

By Application

IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector

By Companies

BMC Software, Moogsoft, Broadcom, VMare, AppDynamics, IBM Corporation, Splunk, ProphetStor Data Services

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

245

Number of Tables & Figures

172

Customization Available

Yes, the report can be customized as per your need.


Global AI For IT Operations Market Report Segments:

The global AI For IT Operations market is segmented on the basis of:

Types

Cloud Deployment, Local Deployment

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

IT & Telecom, Healthcare & Life Sciences, Media & Entertainment, Retail & Ecommerce, Government & Public Sector

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. BMC Software
  2. Moogsoft
  3. Broadcom
  4. VMare
  5. AppDynamics
  6. IBM Corporation
  7. Splunk
  8. ProphetStor Data Services

Global AI For IT Operations Market Overview


Highlights of The AI For IT Operations Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. Cloud Deployment
    2. Local Deployment
  1. By Application:

    1. IT & Telecom
    2. Healthcare & Life Sciences
    3. Media & Entertainment
    4. Retail & Ecommerce
    5. Government & Public Sector
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the AI For IT Operations Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

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Global AI For IT Operations Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


AI for IT operations is a subset of AI that focuses on automating the process of managing and operating an organization’s information technology (IT) infrastructure. This can include tasks such as monitoring and managing systems, deploying updates and patches, identifying potential security threats, and resolving issues.

Some of the major players in the ai for it operations market are BMC Software, Moogsoft, Broadcom, VMare, AppDynamics, IBM Corporation, Splunk, ProphetStor Data Services.

The ai for it operations market is expected to grow at a compound annual growth rate of 27.5%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 AI For IT Operations Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 AI For IT Operations Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 AI For IT Operations Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the AI For IT Operations Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global AI For IT Operations Market Size & Forecast, 2020-2028       4.5.1 AI For IT Operations Market Size and Y-o-Y Growth       4.5.2 AI For IT Operations Market Absolute $ Opportunity

Chapter 5 Global  Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2  Market Size Forecast by Type
      5.2.1 Cloud Deployment
      5.2.2 Local Deployment
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global  Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2  Market Size Forecast by Applications
      6.2.1 IT & Telecom
      6.2.2 Healthcare & Life Sciences
      6.2.3 Media & Entertainment
      6.2.4 Retail & Ecommerce
      6.2.5 Government & Public Sector
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global AI For IT Operations Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 AI For IT Operations Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America  Analysis and Forecast
   9.1 Introduction
   9.2 North America  Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America  Market Size Forecast by Type
      9.6.1 Cloud Deployment
      9.6.2 Local Deployment
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America  Market Size Forecast by Applications
      9.10.1 IT & Telecom
      9.10.2 Healthcare & Life Sciences
      9.10.3 Media & Entertainment
      9.10.4 Retail & Ecommerce
      9.10.5 Government & Public Sector
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe  Analysis and Forecast
   10.1 Introduction
   10.2 Europe  Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe  Market Size Forecast by Type
      10.6.1 Cloud Deployment
      10.6.2 Local Deployment
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe  Market Size Forecast by Applications
      10.10.1 IT & Telecom
      10.10.2 Healthcare & Life Sciences
      10.10.3 Media & Entertainment
      10.10.4 Retail & Ecommerce
      10.10.5 Government & Public Sector
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific  Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific  Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific  Market Size Forecast by Type
      11.6.1 Cloud Deployment
      11.6.2 Local Deployment
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific  Market Size Forecast by Applications
      11.10.1 IT & Telecom
      11.10.2 Healthcare & Life Sciences
      11.10.3 Media & Entertainment
      11.10.4 Retail & Ecommerce
      11.10.5 Government & Public Sector
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America  Analysis and Forecast
   12.1 Introduction
   12.2 Latin America  Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America  Market Size Forecast by Type
      12.6.1 Cloud Deployment
      12.6.2 Local Deployment
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America  Market Size Forecast by Applications
      12.10.1 IT & Telecom
      12.10.2 Healthcare & Life Sciences
      12.10.3 Media & Entertainment
      12.10.4 Retail & Ecommerce
      12.10.5 Government & Public Sector
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA)  Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA)  Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA)  Market Size Forecast by Type
      13.6.1 Cloud Deployment
      13.6.2 Local Deployment
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA)  Market Size Forecast by Applications
      13.10.1 IT & Telecom
      13.10.2 Healthcare & Life Sciences
      13.10.3 Media & Entertainment
      13.10.4 Retail & Ecommerce
      13.10.5 Government & Public Sector
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 AI For IT Operations Market: Competitive Dashboard
   14.2 Global AI For IT Operations Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 BMC Software
      14.3.2 Moogsoft
      14.3.3 Broadcom
      14.3.4 VMare
      14.3.5 AppDynamics
      14.3.6 IBM Corporation
      14.3.7 Splunk
      14.3.8 ProphetStor Data Services

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