Global AIOps Market Size, Share, Opportunities, COVID-19 Impact, And Trends By Component (Data Collection And Analytics, Machine Learning And AI), By Offering (Solution, Services), By Deployment Model (On-Premise, Cloud), By Enterprise Size (Small, Medium, Large), By End-User Industry (BFSI, Healthcare, Retail, Communication And Technology, Government, Manufacturing, Media And Entertainment, Others), And By Geography - Forecasts From 2021 To 2026

Published:  Dec 2021 Report Code: KSI061611723 Pages: 124

The global AIOps market is projected to grow at a CAGR of 18.27% to reach US$5.477 billion by 2026, from US$1.692 billion in 2019. The Artificial Intelligence for IT Operations (AIOps) platform was developed from IT operations analytics (ITOA), and it refers to systems that use artificial intelligence and machine learning to automate processes for human use. AIOps platforms gather, interpret, and analyze huge amounts of IT data in real-time by using a variety of algorithms. AIOps is used with real-time data and helps a firm identify problems and resolve them with the use of various algorithms. It allows businesses and IT departments to get insight into their operations. As more applications, systems, and platforms must be kept running at top performance, information technology (IT) is being confronted with additional problems. The quantity of data created by both business and IT operations rises exponentially as an organization's complexity develops. AIOps analyzes the information from IT operations using artificial intelligence algorithms. The platform analyses the underlying cause of events in real-time and automates procedures to enhance responsiveness.

The market is expanding at a rapid pace throughout the world, owing to the rising demand for AI-based services for IT operations. The end-users growing desire to move more of their business operations to the cloud is driving up demand for AIOps platforms, which is propelling the market forward. End-user adoption of AIOps platforms is growing in tandem with exponentially expanding data quantities and ongoing expansion of end-to-end business applications, bolstering the market's growth. Because of the rising use of cloud-based solutions and the increasing complexity of IT infrastructure, the AIOps Platform is seeing remarkable growth. Another element driving market expansion is the ability to extend data and the requirement for predictive analysis. As the number of individuals working from home has grown, businesses have implemented work-from-home (WFH) policies that have moved the focus of information security from corporate infrastructure to cloud and virtualized infrastructure. According to the data given by the IBM Security Report 2020, around 54 percent of enterprises said they require remote working in response to Covid-19. As a result of these advancements, the desire for cloud-based solutions is expanding.

Growth Factors

  • Growing applications across the BFSI sector will boost the market growth 

One of the major reasons for the growth of the global AIOps market is the growing applications of AIOps platforms in the BFSI sector. Employees, clients, and external agencies conduct a variety of periodic and aperiodic activities and transactions as part of banking operations. Because these operations are complicated, they must be closely monitored. AIOps is projected to enhance market growth throughout the forecast period by providing real-time information and automated issue resolution, among other things. For example, CA Technologies' AIOps product, CA Digital Experience Insights, assists financial businesses in resolving complex IT issues such as performance, capacity, and configuration. Banks must adopt a dependable IT operation management system to provide the highest possible service levels, principally to support internal processes and to give improved customer service. Furthermore, in their day-to-day IT operations, they are concentrating on maintaining maximum service efficiency. The market is projected to be driven by increasing regulatory standards, increasing use of cloud-based IT solutions, and expanding forms of online payment.

Restraints 

  • Lack of awareness of AIOps and the growing complexities of the IT infrastructure will restrain the market growth

A major restraint in the growth of the global AIOps market is the lack of awareness among small and medium enterprises and the apprehension about the adoption of AIOps. Also, the market's growth is being stifled by factors such as the expanding complexity and dynamic nature of IT architecture, as well as the increasing number of changes in IT operations. These limitations have hindered the market growth for global AIOps during the forecast period. 

Impact of COVID-19 on the AIOps Market

The COVID-19 pandemic has had a substantial impact on the world as a whole and has led to economic breakdown and loss of life. The COVID-19 impact on the global AIOps market has been positive owing to the exchange of volumes of data over data networks amid the course of the pandemic and the adoption of work from home practices. The deployment of wireless networking in recent years has further boosted the market growth of the global AIOps market. The work from home initiatives has led to companies being highly dependent on networking systems to control customer queries has led to the surging adoption of AIOps across various industry verticals. Several enterprises and companies running in the AIOps services are taking strategic initiatives to provide customers with the best services as they are entirely dependent on AIOps services during the pandemic. Several surveys have shown that employees have been more comfortable with work from measures. This development will lead to an increase in the adoption of AIOps services, worldwide, in the coming years. 

Competitive Insights

The market leaders for the global AIOps market are IBM, Splunk, Micro Focus, HCL Technologies, BMC Software, Moogsoft, Resolve, GAVS Technologies, Sumo Logic, and AppDynamics.

Global AIOps Market Scope:

Report Metric Details
 Market size value in 2019  US$1.692 billion
 Market size value in 2026  US$5.477 billion
 Growth Rate  CAGR of 18.27% from 2019 to 2026
 Base year  2019
 Forecast period  2021–2026
 Forecast Unit (Value)  USD Billion
 Segments covered  Component, Offering, Deployment Model, Enterprise Size, End-User Industry,   And, Geography
 Regions covered  North America, South America, Europe, Middle East and Africa, Asia Pacific
 Companies covered  IBM, Splunk, Micro Focus, HCL Technologies, BMC Software, Moogsoft, Resolve,   GAVS Technologies, Sumo Logic, AppDynamics
 Customization scope  Free report customization with purchase

Segmentation:

The global AIOps market is segmented by component, offering, deployment model, enterprise size, end-user industry, and geography.

  • By Component
    • Data Collection and Analytics
    • Machine Learning and AI
  • By Offering
    • Solution
    • Services
  • By Deployment Model
    • On-premise
    • Cloud
  • By Enterprise Size
    • Small
    • Medium
    • Large
  • By End-User Industry
    • BFSI
    • Healthcare
    • Retail
    • Communication and Technology
    • Government
    • Manufacturing
    • Media and Entertainment
    • Others
  • By Geography
    • North America
      • USA
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • UK
      • Germany
      • France
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • Israel
      • Others
    • Asia Pacific
      • Japan
      • China
      • India
      • Indonesia
      • Taiwan
      • Thailand
      • Others

Frequently Asked Questions (FAQs)

Q1. What are the growth prospects for the AIOps market?
A1. The AIOps market is projected to grow at a CAGR of 18.27% during the forecast period.


Q2. What is the size of the global AIOps market?
A2. AIOps Market was valued at US$1.692 billion in 2019.


Q3. What will be the AIOps market size by 2026?
A3. The global AIOps market is projected to reach a total market size of US$5.477 billion by 2026.


Q4. How is the global AIOps market segmented?
A4. The AIOps market is segmented by component, offering, deployment model, enterprise size, end-user industry, and geography.


Q5. What factors are anticipated to drive the AIOps market growth?
A5. One of the major reasons for the growth of the global AIOps market is the growing applications of AIOps platforms in the BFSI sector.

1. Introduction
1.1. Market Overview
1.2. Covid-19 Scenario
1.3. Market Definition
1.4. Market Segmentation

2. Research Methodology
2.1. Research Data
2.2. Assumptions

3. Executive Summary
3.1. Research Highlights

4. Market Dynamics
4.1. Market Drivers
4.2. Market Restraints
4.3. Porters Five Forces Analysis
4.3.1. Bargaining Power of Suppliers
4.3.2. Bargaining Power of Buyers
4.3.3. Threat of New Entrants
4.3.4. Threat of Substitutes
4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis

5. Global AIOps Market by Component
5.1. Introduction
5.2. Data Collection and Analytics
5.3. Machine Learning and AI

6. Global AIOps Market by Offering
6.1. Introduction
6.2. Solution
6.3. Services

7. Global AIOps Market by Deployment Model
7.1. Introduction
7.2. On-premise
7.3. Cloud

8. Global AIOps Market by Enterprise Size
8.1. Introduction
8.2. Small
8.3. Medium
8.4. Large

9. Global AIOps Market by End-User Industry
9.1. Introduction
9.2. BFSI 
9.3. Healthcare
9.4. Retail
9.5. Communication and Technology 
9.6. Government 
9.7. Manufacturing 
9.8. Media and Entertainment 
9.9. Others

10. Global AIOps Market Analysis, By Geography  
10.1. Introduction
10.2. North America  
10.2.1.  United States
10.2.2.  Canada
10.2.3.  Mexico
10.3. South America  
10.3.1.  Brazil
10.3.2.  Argentina
10.3.3.  Others
10.4. Europe  
10.4.1.  UK
10.4.2.  Germany
10.4.3.  France
10.4.4. Spain
10.4.5. Others
10.5. Middle East and Africa  
10.5.1.  Israel 
10.5.2.  Saudi Arabia
10.5.3.  Others
10.6. Asia Pacific  
10.6.1.  China
10.6.2.  Japan
10.6.3.  India
10.6.4.  South Korea
10.6.5.  Taiwan
10.6.6.  Thailand
10.6.7.  Indonesia
10.6.8.  Others

11.  Competitive Environment and Analysis
11.1.  Major Players and Strategy Analysis
11.2.  Emerging Players and Market Lucrativeness
11.3.  Mergers, Acquisitions, Agreements, and Collaborations
11.4.  Vendor Competitiveness Matrix

12.  Company Profiles
12.1. IBM
12.2. Splunk
12.3. Micro Focus
12.4. HCL Technologies
12.5. BMC Software
12.6. Moogsoft
12.7. Resolve
12.8. GAVS Technologies
12.9. Sumo Logic
12.10. AppDynamics

IBM

Splunk

Micro Focus

HCL Technologies

BMC Software

Moogsoft

Resolve

GAVS Technologies

Sumo Logic

AppDynamics

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