HOME Top Market Reports AIOps Platform Market by Component, Service (Implementation, Consulting, and Managed Services), Application (Real-time Analytics, Infrastructure Management, and Application Performance Management), Vertical, and Region - Global Forecast to 2023

AIOps Platform Market by Component, Service (Implementation, Consulting, and Managed Services), Application (Real-time Analytics, Infrastructure Management, and Application Performance Management), Vertical, and Region - Global Forecast to 2023

By: marketsandmarkets.com
Publishing Date: July 2018
Report Code: TC 6420

 

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The AIOps platform market size is expected to grow from USD 1.73 billion in 2017 to USD 11.02 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period. The base year considered for the study is 2017 and the forecast period is from 2018 to 2023.

Objectives of the Study

The main objective of the report is to define, describe, and forecast the AIOps platform market size based on component (platforms and services), application, deployment, organization size, vertical, and region. The report provides detailed information on the major factors (drivers, restraints, opportunities, and challenges) influencing the market growth. The report attempts to forecast the market size with respect to the 4 main regions, namely, North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW). The report strategically profiles the key market players and comprehensively analyzes their core competencies. Moreover, it tracks and analyzes the competitive developments, such as joint ventures, mergers and acquisitions, and new product developments, in the market.

The research methodology used to estimate and forecast the AIOps platform market size was initiated with the collection and analysis of data on the key vendor revenues through secondary sources, including the annual reports and press releases, investor presentations, conferences and associations, such as International Joint Conference on Artificial Intelligence (IJCAI), AAAI Conference on Artificial Intelligence (AAAI-2017), technology journals, certified publications, articles from recognized authors, directories, and databases. In addition, the vendor offerings were taken into consideration to determine the market segmentations. The bottom-up procedure was employed to arrive at the overall market size of the market from the revenue of the key players and their market shares. The AIOps platform market expenditure across all the regions, along with the geographic split in various verticals, was considered to arrive at the overall market size. Post-arrival at the overall market size, the total market was split into several segments and subsegments and were verified through primary research by conducting extensive interviews with key people, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The breakdown of the profiles of the primary participants is depicted in the below figure:

AIOps Platform Market

To know about the assumptions considered for the study, download the pdf brochure

The AIOps platform market includes various vendors providing AIOps platforms and services to commercial clients across the globe. Major companies in the market, such as IBM (US), CA Technologies (US), Micro Focus (UK), VMware (US), Splunk (US), HCL (India), AppDynamics (US), MoogSoft (US), BMC Software (US), FixStream (US), and Correlsense (Israel) have adopted partnerships, agreements, and collaborations as the key growth strategies to enhance their market reach.

Key Target Audience

  • Analytics solution vendors
  • AI service providers
  • Value-added Resellers (VARs)
  • Security and intelligence service providers
  • MSPs (Managed Service Providers)
  • Cloud service providers
  • Network and system integrators
  • IT operations tool and solution providers

The study answers several questions for the stakeholders, which market segments are expected to focus in the next 2 to 5 years to prioritize efforts and investments.

Scope of the Report

The research report segments the AIOps platform market into the following submarkets:

By Component:

  • Platforms
  • Services

By Services

  • Implementation service
  • License and maintenance service
  • Training and education service
  • Consulting service
  • Managed service

By Application:

  • Real-time analytics
  • Infrastructure management
  • Network and security management
  • Application performance management
  • Others (Cloud monitoring, Anomaly detection, Log and Event management, and Root cause and App experience analytics)

By Deployment: 

  • On-premises
  • Cloud

By Organization Size:

  • SMEs
  • Large Enterprises

By Vertical:

  • BFSI
  • Healthcare and Life Sciences
  • Retail and Consumer Goods
  • Telecom and IT
  • Manufacturing
  • Government
  • Media and Entertainment
  • Others (Education, Automotive, Transport and Logistics, and Energy and Utilities)

By Region:

  • North America
  • Europe
  • APAC
  • RoW

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakdown of the North American market into the US and Canada
  • Further breakdown of the European market into the UK, Germany, and France

Company Information

  • Detailed analysis and profiling of additional market players

Table of Contents

1 Introduction (Page No. - 16)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 19)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 29)
    4.1 Attractive Market Opportunities in the AIOps Platform Market
    4.2 Market Top 3 Services and Regions
    4.3 Market By Component, 2018
    4.4 Market By Organization Size, 2018
    4.5 Market By Region, 2018–2023
    4.6 Market Investment Scenario

5 Market Overview (Page No. - 33)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Demand of Ai-Based Services for IT Operations
                    5.2.1.2 Increasing Shift of Organizations’ Core Business Toward Cloud
                    5.2.1.3 Increasing End-To-End Business Application Assurance and Uptime
           5.2.2 Restraints
                    5.2.2.1 Lack of Skilled Professionals
           5.2.3 Opportunities
                    5.2.3.1 Exponentially Growing Data
                    5.2.3.2 Rising Need of Businesses for Holistic 360° Visibility
                    5.2.3.3 Increasing Investments in the AIOps Technology
           5.2.4 Challenges
                    5.2.4.1 Growing Complexities and Dynamic Nature of the IT Architecture
                    5.2.4.2 Increasing Number of Changes in IT Operations
    5.3 Technological Trends
           5.3.1 Machine Learning
           5.3.2 Big Data Analytics
    5.4 Use Cases

6 AIOps Platform Market, By Component (Page No. - 40)
    6.1 Introduction
    6.2 Platform
    6.3 Services

7 Market By Service (Page No. - 44)
    7.1 Introduction
    7.2 Implementation Services
    7.3 License and Maintenance Services
    7.4 Training and Education Services
    7.5 Consulting Services
    7.6 Managed Services

8 Market By Application (Page No. - 50)
    8.1 Introduction
    8.2 Real-Time Analytics
    8.3 Application Performance Management
    8.4 Infrastructure Management
    8.5 Network and Security Management
    8.6 Others

9 AIOps Platform Market, By Organization Size (Page No. - 57)
    9.1 Introduction
    9.2 Small and Medium-Sized Enterprises
    9.3 Large Enterprises

10 Market By Deployment (Page No. - 61)
     10.1 Introduction
     10.2 On-Premises
     10.3 Cloud

11 AIOps Platform Market, By Vertical (Page No. - 65)
     11.1 Introduction
     11.2 Banking, Financial Services, and Insurance
     11.3 Healthcare and Life Sciences
     11.4 Retail and Consumer Goods
     11.5 IT and Telecom
     11.6 Government
     11.7 Manufacturing
     11.8 Media and Entertainment
     11.9 Others

12 AIOps Platform Market, By Region (Page No. - 74)
     12.1 Introduction
     12.2 North America
     12.3 Europe
     12.4 Asia Pacific
     12.5 Rest of the World

13 Competitive Landscape (Page No. - 91)
     13.1 Overview
     13.2 Market Ranking
     13.3 Competitive Scenario
             13.3.1 New Product Launches and Product Enhancements
             13.3.2 Partnerships, Collaborations, and Agreements
             13.3.3 Mergers and Acquisitions

14 Company Profiles (Page No. - 95)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis & MnM View)*
     14.1 IBM
     14.2 Splunk
     14.3 CA Technologies
     14.4 VMware
     14.5 Micro Focus
     14.6 HCL Technologies
     14.7 AppDynamics
     14.8 BMC Software
     14.9 Moogsoft
     14.10 FixStream
     14.11 Key Innovators
             14.11.1 Correlsense
             14.11.2 AIMS Innovation
             14.11.3 Corvil
             14.11.4 ExtraHop
             14.11.5 Devo
             14.11.6 Tech Mahindra
             14.11.7 ITRS
             14.11.8 Loom Systems
             14.11.9 Interlink Software
             14.11.10 Grok
             14.11.11 CloudFabrix
             14.11.12 Dynatrace
             14.11.13 Logz.io
             14.11.14 Appnomic Systems
             14.11.15 OpsDataStore
             14.11.16 GAVS Technologies

*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis & MnM View Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. - 139)
     15.1 Industry Experts
     15.2 Discussion Guide
     15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     15.4 Introducing RT: Real-Time Market Intelligence
     15.5 Available Customizations
     15.6 Related Reports
     15.7 Author Details


List of Tables (62 Tables)

Table 1 AIOps Platform Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y %)
Table 2 Artificial Intelligence Investment, 2016 (USD Billion)
Table 3 Enterprise Use Cases, By Vertical
Table 4 AIOps Platform Market Size, By Component, 2016–2023 (USD Million)
Table 5 Platform: Market Size By Region, 2016–2023 (USD Million)
Table 6 Services: Market Size By Region, 2016–2023 (USD Million)
Table 7 AIOps Platform Market Size, By Service, 2016–2023 (USD Million)
Table 8 Implementation Services: Market Size By Region, 2016–2023 (USD Million)
Table 9 License and Maintenance Services: Market Size By Region, 2016–2023 (USD Million)
Table 10 Traning and Education Services: Market Size By Region, 2016–2023 (USD Million)
Table 11 Consulting Services: Market Size By Region, 2016–2023 (USD Million)
Table 12 Managed Services: Market Size By Region, 2016–2023 (USD Million)
Table 13 AIOps Platform Market Size, By Application, 2016–2023 (USD Million)
Table 14 Real-Time Analytics: Market Size By Region, 2016–2023 (USD Million)
Table 15 Application Performance Management: Market Size By Region, 2016–2023 (USD Million)
Table 16 Infrastructure Management: Market Size By Region, 2016–2023 (USD Million)
Table 17 Network and Security Management: Market Size By Region, 2016–2023 (USD Million)
Table 18 Others: Market Size By Region, 2016–2023 (USD Million)
Table 19 AIOps Platform Market Size, By Organization Size, 2016–2023 (USD Million)
Table 20 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 21 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 22 AIOps Platform Market Size, By Deployment, 2016–2023 (USD Million)
Table 23 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 24 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 25 AIOps Platform Market Size, By Vertical, 2016–2023 (USD Million)
Table 26 Banking, Financial Services, and Insurance: Market Size By Region, 2016–2023 (USD Million)
Table 27 Healthcare and Lifesciences: Market Size By Region, 2016–2023 (USD Million)
Table 28 Retail and Consumer Goods: Market Size By Region, 2016–2023 (USD Million)
Table 29 IT and Telecom: Market Size By Region, 2016–2023 (USD Million)
Table 30 Government: Market Size By Region, 2016–2023 (USD Million)
Table 31 Manufacturing: Market Size By Region, 2016–2023 (USD Million)
Table 32 Media and Entertainment: Market Size By Region, 2016–2023 (USD Million)
Table 33 Others: Market Size By Region, 2016–2023 (USD Million)
Table 34 AIOps Platform Market Size, By Region, 2016–2023 (USD Million)
Table 35 North America: Market Size By Component, 2016–2023 (USD Million)
Table 36 North America: Market Size By Service, 2016–2023 (USD Million)
Table 37 North America: Market Size By Application, 2016–2023 (USD Million)
Table 38 North America: Market Size By Deployment, 2016–2023 (USD Million)
Table 39 North America: Market Size By Organization Size, 2016–2023 (USD Million)
Table 40 North America: Market Size By Vertical, 2016–2023 (USD Million)
Table 41 Europe: AIOps Platform Market Size, By Component, 2016–2023 (USD Million)
Table 42 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 43 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Deployment, 2016–2023 (USD Million)
Table 45 Europe: Market Size By Organization Size, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Vertical, 2016–2023 (USD Million)
Table 47 Asia-Pacific: AIOps Platform Market Size, By Component, 2016–2023 (USD Million)
Table 48 Asia-Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 49 Asia-Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 50 Asia-Pacific: Market Size By Deployment, 2016–2023 (USD Million)
Table 51 Asia-Pacific: Market Size By Organization Size, 2016–2023 (USD Million)
Table 52 Asia-Pacific: Market Size By Vertical, 2016–2023 (USD Million)
Table 53 Rest of the World: Market Size By Component, 2016–2023 (USD Million)
Table 54 Rest of the World: Market Size By Service, 2016–2023 (USD Million)
Table 55 Rest of the World: Market Size By Application, 2016–2023 (USD Million)
Table 56 Rest of the World: Market Size By Deployment, 2016–2023 (USD Million)
Table 57 Rest of the World: Market Size By Organization Size, 2016–2023 (USD Million)
Table 58 Rest of the World: Market Size By Vertical, 2016–2023 (USD Million)
Table 59 Market Ranking, 2018
Table 60 New Product Launches and Product Enhancements, 2016–2018
Table 61 Partnerships, Collaborations, and Agreements, 2015–2018
Table 62 Mergers and Acquisitions, 2016–2018


List of Figures (48 Figures)

Figure 1 AIOps Platform Market Segmentation
Figure 2 Market Research Design
Figure 3 Data Triangulation
Figure 4 Market Size Estimation Methodology: Bottom-Up Approach
Figure 5 Market Size Estimation Methodology: Top-Down Approach
Figure 6 Market Assumptions
Figure 7 Market Top 5 Segments, 2018
Figure 8 Market By Region, 2018
Figure 9 Rising Demand of Ai-Based Services for IT Operations and Increasing Shift of Organizations’ Core Business Toward Cloud are Expected to Drive the Growth of the AIOps Platform Market
Figure 10 Implementation Services and North American Region are Estimated to Have the Largest Market Shares in 2018
Figure 11 Platform Segment is Expected to Hold the Larger Market Size During the Forecast Period
Figure 12 Large Enterprises Segment is Expected to Hold the Larger Market Share During the Forecast Period
Figure 13 North America is Expected to Hold the Largest Market Size During the Forecast Period
Figure 14 North America is Expected to Emerge as the Best Market for Investments in the Next 5 Years
Figure 15 AIOps Platform Market: Drivers, Restraints, Opportunities, and Challenges
Figure 16 Platforms Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 17 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 18 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 19 Implementation Services Segment is Expected to Have the Largest Market Size During the Forecast Period
Figure 20 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 21 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 22 Real-Time Analytics is Expected to Have the Largest Market Size During the Forecast Period
Figure 23 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 24 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 25 Large Enterprises Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 26 Asia Pacific is Expected to Have the Second Largest Market Size During the Forecast Period
Figure 27 Europe is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 28 On-Premises Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 29 Asia Pacific is Expected to Have the Second Largest Market Size During the Forecast Period
Figure 30 Banking, Financial Services, and Insurance Vertical is Expected to Have the Largest Market Size During the Forecast Period
Figure 31 Europe is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 32 North America is Expected to Have the Largest Market Size During the Forecast Period
Figure 33 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 34 Asia Pacific is Expected to Be an Attractive Destination for Investments
Figure 35 North America: Market Snapshot
Figure 36 Platform Segment is Expected to Dominate the North American AIOps Platform Market During the Forecast Period
Figure 37 Platforms Segment is Expected to Dominate the Market in Europe During the Forecast Period
Figure 38 Asia Pacific: Market Snapshot
Figure 39 Platform Segment is Expected to Dominate the Market in Asia Pacific During the Forecast Period
Figure 40 Platform Segment is Expected to Dominate the Market in Rest of the World During the Forecast Period
Figure 41 Key Developments By the Leading Players in the Market During 2015–2018
Figure 42 IBM: Company Snapshot
Figure 43 Splunk: Company Snapshot
Figure 44 CA Technologies: Company Snapshot
Figure 45 VMware: Company Snapshot
Figure 46 Micro Focus: Company Snapshot
Figure 47 HCL Technologies: Company Snapshot
Figure 48 Tech Mahindra: Company Snapshot

MarketsandMarkets estimates the global AIOps platform market size to grow from USD 2.55 billion in 2018 to USD 11.02 billion by 2023, at a Compound Annual Growth Rate (CAGR) of 34.0% during the forecast period. Major growth factors for the market include the growing demand of AI-based services in IT operations, increasing shift of organization core business toward the cloud, and increasing end-to-end business application assurance and uptime. In addition, investments in the AIOps technology boost the market growth. The global AIOps platform market is segmented by component (platforms and services), application, deployment, organization size, vertical, and region.

In the AIOps platform market, the platforms segment is expected to account for the largest market share. AIOps platform encompasses a combination of various AI strategies including data output, aggregation, analytics, algorithms, automation and orchestration, ML, and visualization. These platforms enable the use of multiple sources of data, data collection methods, and analytical and presentation technologies. The platform provides multiple IT operations disciplines with advanced analytical capabilities directly and indirectly. The platform is centralized and flexible, and helps to deliver data insights continuously provided by automated algorithmic ML capability analyzing unprecedented amounts of data. To use these technologies, AIOps platforms contain multiple layers that address different functionalities, such as data collection and storage, analytical tools, visualization, and integrations with other applications and services.

The real-time analytics segment under the application is expected to have the largest market size, as AIOps platforms analyze the large volumes of data from disparate sources, by applying various types of algorithms to the data in real time to provide real-time pattern discovery. This platform helps in getting real-time analysis and diagnosis of issues, and actionable insights. The real-time analytics gives organizations a data-driven approach for detecting, prioritizing, diagnosing, and resolving incidents. It helps reduce mean time to detect and repair. With faster mean time to repair, organizations can eliminate repetitive events, alerts, and respond quickly to production incidents. Moreover, reducing mean time to repair helps deploy automated actions quickly. Real-time analytics also assists in unlocking trends that can help organizations connect performance issues and infrastructure changes to incident tickets

The small and medium-sized enterprises segment is expected to record growth at a higher CAGR during the forecast period. Building AI applications is not a solo endeavor; it involves a team of experts within the business including the expert professionals of AI technology. Putting such a team together is challenging even for large enterprises. AI professionals are much in demand with global tech companies, such as Facebook, Google, and Amazon, implementing innovative ideas with respect to AI/ML. As a result, AI talent can demand significantly high compensation. However, many small businesses have budget constraints to hire them. Hence, the SMEs segment is expected to adopt AIOps platform solutions at a higher rate than large enterprises.

AIOps Platform Market

North America is expected to have the largest market size in the global AIOps platform market, owing to its dominance with developed economies, empowering them to invest in R&D activities heavily. The continued spread of digital transformation across industries and growing convergence of different technologies, such as AI, ML, big data, and analytics, have created an impact in the region and led to an increase in IT budget. Additionally, to meet the demands of AI-powered solutions, the region’s tech giants, such as IBM, BMC Software, CA Technologies, VMware, and Splunk, are focusing on delivering AI-powered services to help their customers in building intelligent applications. For instance, BMC Software partnered with IBM to integrate ML, predictive capabilities, and AI from IBM Watson into BMC’s leading IT service management solutions. Growing government initiatives in the region are also boosting the AIOps platform market. They are enhancing the existing IT infrastructure by launching programs, such as National Artificial Intelligence Research and Development and smart city programs.

Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period, as it is witnessing dynamic changes in the adoption of automation in various business functions across verticals. The demand for AI-powered solutions and services is growing across APAC, due to the rapid generation of large volumes of data. AI-powered solutions and services, such as ML, drive innovations in the realm of data analytics and address gaps related to the previously used tools. This boosts the confidence of enterprises in the APAC region to adopt big data technologies. APAC governments are actively investing in AI, but long-term solutions would take time to come into effect, owing to structural reasons such as insufficient data for ML and a shortage of AI professionals. As a result, progress in the implementation will be largely driven by the private sector innovation and at the same time their ability to work with local governments to tackle the infrastructure challenges and the availability of the necessary skillset among the local work force.

Lack of skilled professionals, and rapid changes in IT operations could be major restraining factors for the growth of the AIOps platform market. However, the recent developments, such as new product launches and acquisitions, undertaken by the major market players are expected to boost the market growth.

The study measures and evaluates the major offerings and key strategies of the key market vendors, including IBM (US), CA Technologies (US), Micro Focus (UK), VMware (US), Splunk (US), HCL (India), AppDynamics (US), MoogSoft (US), BMC Software (US), FixStream (US), and Correlsense (Israel). These major companies have been offering reliable AIOps platform to commercial clients across diverse locations.

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