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Artificial Intelligence For IT Operations Platform Market to Reach US$ 32.5 Bn by 2030

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The Artificial Intelligence For IT Operations Platform market is projected to reach US$ 32.5 Bn by 2030. And registering a CAGR of around 22.2% over the forecast period 2021 – 2030.

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Growth Factors

 Rapid digital transformations in global business organizations have brought about increasingly complex datasets. Businesses spend a significant amount of time, cost, and effort on processing large volumes of data. IT operations are also on the edge of this transformation, wherein IT teams are required to manage complex datasets to sustain their business. Besides, there has been a considerable increase in data loads over the last few years due to the distributed architecture and dynamic nature of business applications and services. With the increasing IT agility requirement, AIOps has emerged as a way for IT operations teams to keep up with business demands, trends, and aggressive digitization of IT infrastructure.

Report Coverage

Report Scope Details
Market Size US$ 32.5 billion by 2030
Growth Rate CAGR of 22.2% From 2021 to 2030
Base Year 2021
Forecast Period 2021 to 2030
Segments Covered Offering, Application, Deployment mode, Organization size, vertical
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Mentioned AppDynamics; BMC Software, Inc.; Broadcom; HCL Technologies Limited; International Business Machines Corporation; Micro Focus; Moogsoft; ProphetStor Data Services, Inc.; Resolve Systems; Splunk Inc.

By Offering Analysis

The platform offering segment held the AIOps platform market in 2020, accounting for over 89% share of the global revenue. AIOps vendors deliver reliable, responsive, and innovative platform experiences for business organizations to gain a competitive edge in the market.

Several companies offer AI technology for different IT applications, such as real-time analytics, infrastructure management, and network management. This platform enables infrastructure monitoring and business and IT service monitoring. The AIOps services segment is also expected to record a significant CAGR, owing to the growing need for implementation services for AIOps platforms that are deployed into existing systems.

By Deployment Mode Analysis

The on-premises deployment model segment held the market in 2020, accounting for over 71% share of the global revenue. Organizations mostly prefer deploying AI models on-premises owing to the risk associated with public cloud deployment.

The cloud deployment model segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fact that cloud-based AIOps platforms remove firewall restrictions that can hamper access to an on-premises solution.

By Organization Size Analysis

The large enterprises’ segment held the market in 2020, accounting for over 76% share of the global revenue. Large enterprises are deploying AIOps solutions for different industries, such as media and entertainment.

The SMEs segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fast-gained acceptance of digital solutions in every industry. Multiple AIOps solutions are being adopted by SMEs to improve their IT infrastructure management.

By Vertical Analysis

The BFSI segment held the market in 2020, accounting for over 20% share of the global revenue. AIOps technology for securing financial and banking-related data has grown considerably in this sector.

This high share can be attributed to the increasing IT operations and digital experiences in the financial services and banking sector. AI finds wide applications in banking and financial IT operations, including real-time analytics, solving complex IT issues, banking automation, and enhancing scalability, among other use-cases.

AIOps platform is used to improve IT agility for enterprises with extensive IT infrastructure or architecture and deal with multiple technologies with massive data. Application performance analysis is one of the most used applications in every vertical.

By Application Analysis

The real-time analytics application segment held the market in 2020, accounting for over 34% share of the global revenue. The manufacturing industry is leveraging real-time analytics in terms of production quality (vendor quality, data accuracy, and cost overruns), lead times (cycle time and customer service time), delivery reliability (schedule adherence and vendor delivery performance), and costs (waste rates, inventory turns, system complexity, and overhead efficiency).

The infrastructure management application segment is anticipated to witness substantial growth over the forecast period. This growth can be attributed to the fast-gained acceptance of AI across heavy IT infrastructure workloads.

By Regional Analysis

North America led the market in 2020, accounting for over 40% share of the global revenue. In the U.S., AI-based investment advisory consumer applications are getting traction to improve investment decisions. This can be attributed to the presence of numerous AIOps platform vendors in the region.

Asia Pacific is led to witness significant growth over the forecast period. This can be attributed to the rapid adoption of automation across various industries in the region. Furthermore, the fast generation of data in large volumes has paved the way for AI-based solutions and services, such as data analytics.

Key Players

  • AppDynamics
  • BMC Software, Inc.
  • Broadcom
  • HCL Technologies Limited
  • International Business Machines Corporation
  • Micro Focus
  • Moogsoft
  • ProphetStor Data Services, Inc.
  • Resolve Systems
  • Splunk Inc.
  • VMware, Inc.

Market Segmentation

  • Offering
    • Platform
    • Service
  • Application
    • Infrastructure Management
    • Application Performance Analysis
    • Real-Time Analytics
    • Network & Security Management
    • Others
  • Deployment Mode
    • Cloud
    • On-Premises
  • Organization Size
    • SMEs
    • Large Enterprises
  • Vertical
    • BFSI
    • Healthcare & Life Sciences
    • Retail & E-Commerce
    • IT & Telecom
    • Energy & Utilities
    • Government & Public Sector
    • Media & Entertainment
    • Others
  • Regional
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • Germany
      • U.K.
      • France
    • Asia Pacific
      • China
      • Japan
      • India
    • South America
      • Brazil
    • Middle East and Africa (MEA)

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Reasons to Purchase this Report:

– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Table of Contents

Chapter 1.  Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2.  Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.  Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Distribution Channel Analysis

4.3.3.    Downstream Buyer Analysis

Chapter 5.  Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1.    Market Drivers

5.1.2.    Market Restraints

5.1.3.    Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1.    Bargaining power of suppliers

5.2.2.    Bargaining power of buyers

5.2.3.    Threat of substitute

5.2.4.    Threat of new entrants

5.2.5.    Degree of competition

Chapter 6.  Competitive Landscape

6.1.1.    Company Market Share/Positioning Analysis

6.1.2.    Key Strategies Adopted by Players

6.1.3.    Vendor Landscape

6.1.3.1.        List of Suppliers

6.1.3.2.        List of Buyers

Chapter 7.  Global Artificial Intelligence For IT Operations Platform Market, By Offering

7.1.  Artificial Intelligence For IT Operations Platform Market, by Offering, 2021-2030

7.1.1.    Platform

7.1.1.1.        Market Revenue and Forecast (2017-2030)

7.1.2.    Service

7.1.2.1.        Market Revenue and Forecast (2017-2030)

Chapter 8.  Global Artificial Intelligence For IT Operations Platform Market, By Application

8.1.  Artificial Intelligence For IT Operations Platform Market, by Application, 2021-2030

8.1.1.    Infrastructure Management

8.1.1.1.        Market Revenue and Forecast (2017-2030)

8.1.2.    Application Performance Analysis

8.1.2.1.        Market Revenue and Forecast (2017-2030)

8.1.3.    Real-Time Analytics

8.1.3.1.        Market Revenue and Forecast (2017-2030)

8.1.4.    Network & Security Management

8.1.4.1.        Market Revenue and Forecast (2017-2030)

Chapter 9.  Global Artificial Intelligence For IT Operations Platform Market, By Deployment Mode

9.1.  Artificial Intelligence For IT Operations Platform Market, by Deployment Mode, 2021-2030

9.1.1.    Cloud

9.1.1.1.        Market Revenue and Forecast (2017-2030)

9.1.2.    On-Premises

9.1.2.1.        Market Revenue and Forecast (2017-2030)

Chapter 10.      Global Artificial Intelligence For IT Operations Platform Market, By Organization Size

10.1.        Artificial Intelligence For IT Operations Platform Market, by Organization Size, 2021-2030

10.1.1.  SMEs

10.1.1.1.      Market Revenue and Forecast (2017-2030)

10.1.2.  Large Enterprises

10.1.2.1.      Market Revenue and Forecast (2017-2030)

Chapter 11.      Global Artificial Intelligence For IT Operations Platform Market, By Vertical

11.1.        Artificial Intelligence For IT Operations Platform Market, by Vertical, 2021-2030

11.1.1.  BFSI

11.1.1.1.      Market Revenue and Forecast (2017-2030)

11.1.2.  Healthcare & Life Sciences

11.1.2.1.      Market Revenue and Forecast (2017-2030)

11.1.3.  Retail & E-Commerce

11.1.3.1.      Market Revenue and Forecast (2017-2030)

11.1.4.  IT & Telecom

11.1.4.1.      Market Revenue and Forecast (2017-2030)

11.1.5.  Energy & Utilities

11.1.5.1.      Market Revenue and Forecast (2017-2030)

11.1.6.  Government & Public Sector

11.1.6.1.      Market Revenue and Forecast (2017-2030)

11.1.7.  Media & Entertainment

11.1.7.1.      Market Revenue and Forecast (2017-2030)

Chapter 12.      Global Artificial Intelligence For IT Operations Platform  Market, Regional Estimates and Trend Forecast

12.1.        North America

12.1.1.  Market Revenue and Forecast, by Offering (2017-2030)

12.1.2.  Market Revenue and Forecast, by Application (2017-2030)

12.1.3.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.1.4.  Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.5.  Market Revenue and Forecast, by Vertical (2017-2030)

12.1.6.  U.S.

12.1.6.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.1.6.2.      Market Revenue and Forecast, by Application (2017-2030)

12.1.6.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.1.6.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.6.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.1.7.  Rest of North America

12.1.7.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.1.7.2.      Market Revenue and Forecast, by Application (2017-2030)

12.1.7.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.1.7.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.1.7.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.2.        Europe

12.2.1.  Market Revenue and Forecast, by Offering (2017-2030)

12.2.2.  Market Revenue and Forecast, by Application (2017-2030)

12.2.3.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.2.4.  Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.5.  Market Revenue and Forecast, by Vertical (2017-2030)

12.2.6.  UK

12.2.6.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.2.6.2.      Market Revenue and Forecast, by Application (2017-2030)

12.2.6.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.2.6.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.6.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.2.7.  Germany

12.2.7.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.2.7.2.      Market Revenue and Forecast, by Application (2017-2030)

12.2.7.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.2.7.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.7.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.2.8.  France

12.2.8.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.2.8.2.      Market Revenue and Forecast, by Application (2017-2030)

12.2.8.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.2.8.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.8.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.2.9.  Rest of Europe

12.2.9.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.2.9.2.      Market Revenue and Forecast, by Application (2017-2030)

12.2.9.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.2.9.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.2.9.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.3.        APAC

12.3.1.  Market Revenue and Forecast, by Offering (2017-2030)

12.3.2.  Market Revenue and Forecast, by Application (2017-2030)

12.3.3.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.3.4.  Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.5.  Market Revenue and Forecast, by Vertical (2017-2030)

12.3.6.  India

12.3.6.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.3.6.2.      Market Revenue and Forecast, by Application (2017-2030)

12.3.6.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.3.6.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.6.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.3.7.  China

12.3.7.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.3.7.2.      Market Revenue and Forecast, by Application (2017-2030)

12.3.7.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.3.7.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.7.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.3.8.  Japan

12.3.8.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.3.8.2.      Market Revenue and Forecast, by Application (2017-2030)

12.3.8.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.3.8.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.8.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.3.9.  Rest of APAC

12.3.9.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.3.9.2.      Market Revenue and Forecast, by Application (2017-2030)

12.3.9.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.3.9.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.3.9.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.4.        MEA

12.4.1.  Market Revenue and Forecast, by Offering (2017-2030)

12.4.2.  Market Revenue and Forecast, by Application (2017-2030)

12.4.3.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.4.4.  Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.5.  Market Revenue and Forecast, by Vertical (2017-2030)

12.4.6.  GCC

12.4.6.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.4.6.2.      Market Revenue and Forecast, by Application (2017-2030)

12.4.6.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.4.6.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.6.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.4.7.  North Africa

12.4.7.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.4.7.2.      Market Revenue and Forecast, by Application (2017-2030)

12.4.7.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.4.7.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.7.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.4.8.  South Africa

12.4.8.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.4.8.2.      Market Revenue and Forecast, by Application (2017-2030)

12.4.8.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.4.8.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.8.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.4.9.  Rest of MEA

12.4.9.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.4.9.2.      Market Revenue and Forecast, by Application (2017-2030)

12.4.9.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.4.9.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.4.9.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.5.        Latin America

12.5.1.  Market Revenue and Forecast, by Offering (2017-2030)

12.5.2.  Market Revenue and Forecast, by Application (2017-2030)

12.5.3.  Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.5.4.  Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.5.  Market Revenue and Forecast, by Vertical (2017-2030)

12.5.6.  Brazil

12.5.6.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.5.6.2.      Market Revenue and Forecast, by Application (2017-2030)

12.5.6.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.5.6.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.6.5.      Market Revenue and Forecast, by Vertical (2017-2030)

12.5.7.  Rest of LATAM

12.5.7.1.      Market Revenue and Forecast, by Offering (2017-2030)

12.5.7.2.      Market Revenue and Forecast, by Application (2017-2030)

12.5.7.3.      Market Revenue and Forecast, by Deployment Mode (2017-2030)

12.5.7.4.      Market Revenue and Forecast, by Organization Size (2017-2030)

12.5.7.5.      Market Revenue and Forecast, by Vertical (2017-2030)

Chapter 13.  Company Profiles

13.1.              AppDynamics

13.1.1.  Company Overview

13.1.2.  Product Offerings

13.1.3.  Financial Performance

13.1.4.  Recent Initiatives

13.2.              BMC Software, Inc.

13.2.1.  Company Overview

13.2.2.  Product Offerings

13.2.3.  Financial Performance

13.2.4.  Recent Initiatives

13.3.              Broadcom

13.3.1.  Company Overview

13.3.2.  Product Offerings

13.3.3.  Financial Performance

13.3.4.  Recent Initiatives

13.4.              HCL Technologies Limited

13.4.1.  Company Overview

13.4.2.  Product Offerings

13.4.3.  Financial Performance

13.4.4.  Recent Initiatives

13.5.              International Business Machines Corporation

13.5.1.  Company Overview

13.5.2.  Product Offerings

13.5.3.  Financial Performance

13.5.4.  Recent Initiatives

13.6.              Micro Focus

13.6.1.  Company Overview

13.6.2.  Product Offerings

13.6.3.  Financial Performance

13.6.4.  Recent Initiatives

13.7.              Moogsoft

13.7.1.  Company Overview

13.7.2.  Product Offerings

13.7.3.  Financial Performance

13.7.4.  Recent Initiatives

13.8.              ProphetStor Data Services, Inc.

13.8.1.  Company Overview

13.8.2.  Product Offerings

13.8.3.  Financial Performance

13.8.4.  Recent Initiatives

13.9.              Resolve Systems

13.9.1.  Company Overview

13.9.2.  Product Offerings

13.9.3.  Financial Performance

13.9.4.  Recent Initiatives

13.10.           Splunk Inc.

13.10.1.               Company Overview

13.10.2.               Product Offerings

13.10.3.               Financial Performance

13.10.4.               Recent Initiatives

Chapter 14.  Research Methodology

14.1.              Primary Research

14.2.              Secondary Research

14.3.              Assumptions

Chapter 15.  Appendix

15.1.              About Us

15.2.              Glossary of Terms

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