세계의 AIOps(IT 운영을 위한 인공지능) 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2024-2032년)

The global demand for Artificial Intelligence For IT Operations Platform Market is presumed to reach the market size of nearly USD 51.27 Billion by 2032 from USD 11.52 Billion in 2023 with a CAGR of 18.04% under the study period 2024-2032.

Artificial intelligence for IT Operation platforms refers to the application of big data analytics and other artificial intelligence technologies to automate the operations of IT and resolve common IT issues. It automates routine tasks, highlights serious issues as well as streamlines the interaction between data centres and teams. It uses a conglomeration of different AI strategies such as data output, aggregation, algorithms, automation and orchestration, machine learning and visualization etc. It assists in managing the increasing volume and complexities of data. It turns the data generated by IT systems into meaningful insights. Other key uses of AIOps include event correlation and analysis and IT service management.

MARKET DYNAMICS

The key factor driving the demand for artificial intelligence for IT Operation platforms is the high adoption of machine learning for the management of infrastructure in IT environments. The fulfilment of adequate speed and agility required for the business is another factor surging the demand for this market. The leading players in the market are concentrating on leveraging AI and machine learning technologies and improving productivity in IT operations. Increasing government initiatives to boost artificial intelligence in IT solutions is fostering the demand for this market. Growing demand for image recognition systems and increased data growth are augmenting the demand for this market. However, the increasing number of changes in IT operations and the complexities of IT architecture may hinder the growth of this market.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Artificial Intelligence For IT Operations Platform. The growth and trends of Artificial Intelligence For IT Operations Platform industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Artificial Intelligence For IT Operations Platform market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Offering

• Platform
• Service

By Application

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

By Deployment Mode

• Cloud
• On-premise

By Organization Size

• SMEs
• Large Enterprises

By Vertical

• BFSI
• Healthcare & Life Sciences
• Retail & E-commerce
• IT & Telecom
• Energy & Utilities
• Government & Public Sector
• Media & Entertainment
• Others
• Regional Analysis

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence For IT Operations Platform market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Artificial Intelligence For IT Operations Platform market include AppDynamics, BMC Software Inc., Broadcom, HCL Technologies Limited, International Business Machines Corporation, Micro Focus, Moogsoft Prophet Stor Data Services Inc., Resolve Systems, Splunk Inc., VMware Inc. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

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TABLE OF CONTENTS

1. PREFACE

• 1.1. Report Description
  • 1.1.1 Objective
  • 1.1.2 Target Audience
  • 1.1.3 Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1 Market Research Process
  • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3. ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM - INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Offering
  • 3.7.2 Market Attractiveness Analysis By Application
  • 3.7.3 Market Attractiveness Analysis By Deployment Mode
  • 3.7.4 Market Attractiveness Analysis By Organization Size
  • 3.7.5 Market Attractiveness Analysis By Vertical
  • 3.7.6 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1 List of Raw Materials
  • 4.2.2 Raw Material Manufactures List
  • 4.2.3 Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1 Direct Marketing
  • 4.4.2 Indirect Marketing
  • 4.4.3 Marketing Channel Development Trend

5. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY OFFERING

• 5.1. Overview By Offering
• 5.2. Historical and Forecast Data Analysis By Offering
• 5.3. Platform Historic and Forecast Sales By Regions
• 5.4. Service Historic and Forecast Sales By Regions

6. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY APPLICATION

• 6.1. Overview By Application
• 6.2. Historical and Forecast Data Analysis By Application
• 6.3. Infrastructure Management Historic and Forecast Sales By Regions
• 6.4. Application Performance Analysis Historic and Forecast Sales By Regions
• 6.5. Real-Time Analytics Historic and Forecast Sales By Regions
• 6.6. Network & Security Management Historic and Forecast Sales By Regions
• 6.7. Others Historic and Forecast Sales By Regions

7. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY DEPLOYMENT MODE

• 7.1. Overview By Deployment Mode
• 7.2. Historical and Forecast Data Analysis By Deployment Mode
• 7.3. Cloud Historic and Forecast Sales By Regions
• 7.4. On-premise Historic and Forecast Sales By Regions

8. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY ORGANIZATION SIZE

• 8.1. Overview By Organization Size
• 8.2. Historical and Forecast Data Analysis By Organization Size
• 8.3. SMEs Historic and Forecast Sales By Regions
• 8.4. Large Enterprises Historic and Forecast Sales By Regions

9. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY VERTICAL

• 9.1. Overview By Vertical
• 9.2. Historical and Forecast Data Analysis By Vertical
• 9.3. BFSI Historic and Forecast Sales By Regions
• 9.4. Healthcare & Life Sciences Historic and Forecast Sales By Regions
• 9.5. Retail & E-commerce Historic and Forecast Sales By Regions
• 9.6. IT & Telecom Historic and Forecast Sales By Regions
• 9.7. Energy & Utilities Historic and Forecast Sales By Regions
• 9.8. Government & Public Sector Historic and Forecast Sales By Regions
• 9.9. Media & Entertainment Historic and Forecast Sales By Regions
• 9.10. Others Historic and Forecast Sales By Regions

10. GLOBAL ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM MARKET ANALYSIS BY GEOGRAPHY

• 10.1. Regional Outlook
• 10.2. Introduction
• 10.3. North America Sales Analysis
  • 10.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.3.2 North America By Segment Sales Analysis
  • 10.3.3 North America By Country Sales Analysis
  • 10.3.4 United States Sales Analysis
  • 10.3.5 Canada Sales Analysis
  • 10.3.6 Mexico Sales Analysis
• 10.4. Europe Sales Analysis
  • 10.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.4.2 Europe By Segment Sales Analysis
  • 10.4.3 Europe By Country Sales Analysis
  • 10.4.4 United Kingdom Sales Analysis
  • 10.4.5 France Sales Analysis
  • 10.4.6 Germany Sales Analysis
  • 10.4.7 Italy Sales Analysis
  • 10.4.8 Russia Sales Analysis
  • 10.4.9 Rest Of Europe Sales Analysis
• 10.5. Asia Pacific Sales Analysis
  • 10.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.5.2 Asia Pacific By Segment Sales Analysis
  • 10.5.3 Asia Pacific By Country Sales Analysis
  • 10.5.4 China Sales Analysis
  • 10.5.5 India Sales Analysis
  • 10.5.6 Japan Sales Analysis
  • 10.5.7 South Korea Sales Analysis
  • 10.5.8 Australia Sales Analysis
  • 10.5.9 South East Asia Sales Analysis
  • 10.5.10 Rest Of Asia Pacific Sales Analysis
• 10.6. Latin America Sales Analysis
  • 10.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.6.2 Latin America By Segment Sales Analysis
  • 10.6.3 Latin America By Country Sales Analysis
  • 10.6.4 Brazil Sales Analysis
  • 10.6.5 Argentina Sales Analysis
  • 10.6.6 Peru Sales Analysis
  • 10.6.7 Chile Sales Analysis
  • 10.6.8 Rest of Latin America Sales Analysis
• 10.7. Middle East & Africa Sales Analysis
  • 10.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 10.7.2 Middle East & Africa By Segment Sales Analysis
  • 10.7.3 Middle East & Africa By Country Sales Analysis
  • 10.7.4 Saudi Arabia Sales Analysis
  • 10.7.5 UAE Sales Analysis
  • 10.7.6 Israel Sales Analysis
  • 10.7.7 South Africa Sales Analysis
  • 10.7.8 Rest Of Middle East And Africa Sales Analysis

11. COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM COMPANIES

• 11.1. Artificial Intelligence For IT Operations Platform Market Competition
• 11.2. Partnership/Collaboration/Agreement
• 11.3. Merger And Acquisitions
• 11.4. New Product Launch
• 11.5. Other Developments

12. COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE FOR IT OPERATIONS PLATFORM INDUSTRY

• 12.1. Top Companies Market Share Analysis
• 12.2. Market Concentration Rate
• 12.3. AppDynamics
  • 12.3.1 Company Overview
  • 12.3.2 Company Revenue
  • 12.3.3 Products
  • 12.3.4 Recent Developments
• 12.4. BMC Software Inc.
  • 12.4.1 Company Overview
  • 12.4.2 Company Revenue
  • 12.4.3 Products
  • 12.4.4 Recent Developments
• 12.5. Broadcom
  • 12.5.1 Company Overview
  • 12.5.2 Company Revenue
  • 12.5.3 Products
  • 12.5.4 Recent Developments
• 12.6. HCL Technologies Limited
  • 12.6.1 Company Overview
  • 12.6.2 Company Revenue
  • 12.6.3 Products
  • 12.6.4 Recent Developments
• 12.7. International Business Machines Corporation
  • 12.7.1 Company Overview
  • 12.7.2 Company Revenue
  • 12.7.3 Products
  • 12.7.4 Recent Developments
• 12.8. Micro Focus
  • 12.8.1 Company Overview
  • 12.8.2 Company Revenue
  • 12.8.3 Products
  • 12.8.4 Recent Developments
• 12.9. Moogsoft Prophet Stor Data Services Inc.
  • 12.9.1 Company Overview
  • 12.9.2 Company Revenue
  • 12.9.3 Products
  • 12.9.4 Recent Developments
• 12.10. Resolve Systems
  • 12.10.1 Company Overview
  • 12.10.2 Company Revenue
  • 12.10.3 Products
  • 12.10.4 Recent Developments
• 12.11. Splunk Inc.
  • 12.11.1 Company Overview
  • 12.11.2 Company Revenue
  • 12.11.3 Products
  • 12.11.4 Recent Developments
• 12.12. VMware Inc
  • 12.12.1 Company Overview
  • 12.12.2 Company Revenue
  • 12.12.3 Products
  • 12.12.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies