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.
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:
- BMC Software
- Moogsoft
- Broadcom
- VMare
- AppDynamics
- IBM Corporation
- Splunk
- ProphetStor Data Services
Highlights of The AI For IT Operations Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud Deployment
- Local Deployment
- By Application:
- IT & Telecom
- Healthcare & Life Sciences
- Media & Entertainment
- Retail & Ecommerce
- Government & Public Sector
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- 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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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- 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