AIOps Market Size By Component (Solution [Domain-agnostic AIOps, Domain-centric AIOps], Service [Professional Service, Managed Service]), By Deployment Model (On-premise, Cloud), By Enterprise Size (Large Enterprises, SMEs), By Application (Infrastructure Management, Real-time Analytics, Network & Security Management, Application Performance Management), By End-use (BFSI, IT & telecom, Healthcare, Retail, Government, Manufacturing, Media & Entertainment), COVID19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2021 – 2027

Published Date: Nov 2021  |  Report ID: GMI5153  |  Authors: Preeti Wadhwani, Smriti Loomba

Report Format: PDF   |   Pages: 330   |   Base Year: 2020




Summary Table of Contents Industry Coverage Methodology

Industry Trends

Artificial Intelligence for IT operations (AIOps) Market size exceeded USD 2 billion in 2020 and is expected to register gains at over 20% from 2021 to 2027. The spiking demand of enterprises to enhance decision making process across I&O personas by contextualizing large volumes of operational data is likely to drive the industry growth. Enterprises have started adopting AIOps platforms to compete with and replace some traditional monitoring tool categories. Monitoring IaaS and observability are being done entirely within AIOps platforms, especially if the enterprise has its entire IT footprint in the cloud.
 

Artificial Intelligence for IT operations (AIOps) Market

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The AIOps market has received a strong impetus amid the ongoing COVID-19 pandemic. Industry acceleration has been substantial as AI-based IT operation solutions are becoming mainstream to free up enterprises’ resources and focus on innovations. AIOps has presented several benefits to enterprises, such as automating mundane tasks, providing actionable reporting, and improving risk management, during the pandemic. Such measures have driven the expansion in terms of the post-COVID-19 impacts on the industry.
 

AIOps Market Report Coverage
Report Coverage Details
Base Year:2020
Market Size in 2020:2 Billion (USD)
Forecast Period:2021 to 2027
Forecast Period 2021 to 2027 CAGR:20%
2027 Value Projection:10 Billion (USD)
Historical Data for:2017 to 2020
No. of Pages:330
Tables, Charts & Figures:536
Segments covered:Component, Deployment Model, Enterprise Size, Application, End-use and Region
Growth Drivers:
  • Growing demand of AI-based services for IT operations
  • Rising affinity of enterprises to shift core business operations on the cloud
  • Increasing end-to-end business application assurance and uptime
  • Rising need of businesses for holistic 360° visibility into IT operations
  • Surging focus of enterprises on reducing IT capital expenditure
Pitfalls & Challenges:
  • Growing complexities and dynamic nature of the IT architecture
  • Increasing number of changes in IT operations

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Market shift to domain-agnostic tools in the U.S.

U.S. AIOps Market Size, By Solution

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The domain-agnostic segment in the U.S. is poised to generate around USD 500 million revenue in 2023. These solutions tend to rely mostly on monitoring tools to perform data capture and cater to the dynamic customer requirements. For instance, IBM offers the IBM Cloud Pak for Watson AIOps, which can ingest data from several sources irrespective of platforms and centralizes information on a single pane. As organizations mature in AIOps adoption, they require a single domain-agnostic platform across I&O and DevOps.
 

Economies of scale offered by the cloud model in the UK

The cloud deployment model segment is projected to account for more than 35% of the UK AIOps market share by 2027. Advantage of using AIOps with cloud platforms, where AI can perform continuous log analysis, anomaly detection, predictive maintenance, root cause diagnostics, closed-loop issue remediation, and other critical functions on complex cloud environments. Other associated benefits of cloud-based deployment, including flexibility and a steady improvement in security features, are anticipated to augment the market revenue.
 

Rising affinity of AI-based tools to support DevOps capabilities

Singapore AIOps Market Size, By Enterprise

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In Singapore, the SME segment is estimated to witness 30% CAGR through 2027. SMEs are increasingly transitioning toward AI-based IT operation tools to improve service quality and address dynamic customer needs through an agile approach. Furthermore, the increasing frequency of deployments and shorter development lifecycles have forced SMEs to adopt AIOps practices alongside DevOps to maintain market competitiveness. A surge in the adoption of software automation services by small enterprises across various sectors is spurring the AIOps market outlook.
 

AI-assisted instant remedial action promoting the growth across the German real-time analytics sector

Germany AIOps Market Share, By Application

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In Germany, the real-time analytics segment captured a substantial market share of nearly 35% in 2020. Enterprises across the country have been observing a steady inclination toward AI to make decisions instead of relying on humans, and to allow IT teams to take instantaneous action. For instance, if a server is running out of disk space, an AIOps tool will allocate more storage automatically and in real-time, without requiring human intervention. The pandemic has increased the sense of urgency for German companies, leading them to focus on faster decision-making through AIOps.
 

Rising competitive pressure to deliver new services quickly across Brazil

In Brazil AIOps market, the IT & telecom end use is expected to observe growth rate of over 20% during 2021 to 2027. The usage of AIOps tools in the regional IT & telecom industry has been propelled by hefty investments in agile technologies by telecom providers. As per the press release published by Broadcom, Inc., it was predicted that above 68% of all telecom enterprises will integrate agile technologies in their business operations by 2021. This is spurred by an increased competitive pressure to deliver new digital services & products within a short span of time.
 

Maturing software automation landscape and demand to reduce systems downtimes in Europe

Europe AIOps Market Share, By Country

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Europe AIOps market is set to see a CAGR of around 25% till 2027. The regional industry is characterized by increasing enterprise focus on reducing IT capital expenditure. As the ongoing COVID-19 crisis has affected multiple industry verticals on a large scale, enterprises operating in the IT sector are focusing on cloud-based software automation and delivery.
 

For instance, in April 2020, British Telecommunication PLC and Ericsson jointly deployed a cloud native 5G core solution to provide 5G non-standalone & standalone services. It also featured automation and network orchestration with continuous integration & delivery capabilities. This will help in faster upgrades and service delivery.

 

Consistent product launches and feature enhancements to become the major go-to-market strategy for vendors

The global AIOps market remains highly fragmented with IT giants, such as IBM, Cisco, and Splunk holding a major chunk. Prominent companies are placing an ever-growing emphasis on delivering advanced AIOps solutions that can cater to the dynamic requirements, especially during the rise of AI-enabled automation amid the ongoing pandemic.
 

For instance, in October 2020, Splunk, Inc. announced enhancements to Splunk’s portfolio for IT operations, including the launch of Splunk Service Intelligence for SAP solutions, a new version of Splunk IT Service Intelligence (ITSI), Splunk Infrastructure Monitoring Add-On, and Splunk IT Essentials. With Splunk’s advanced IT solutions, customers can embrace cloud-driven transformation toward an enterprise IT modernization journey.
 

Some of the key AIOps market players are Amelia US LLC, BigPanda , BMC Software Inc, Broadcom Inc., Cisco Systems Inc., Datadog Inc., Digital.ai (CollabNet VersionOne), Digitate, Dynatrace Inc, Elastic NV, ExtraHob Networks Inc, Harness Inc, IBM Corporation, Logz.io Inc., Moogsoft Inc, New Relic Inc, OverOps Inc, PagerDuty Inc, Pico Inc, ScienceLogic Inc, ServiceNow (Glidesoft) , Splunk Inc, StackState Inc, Sumo Logic Inc, and Virtana Corporation.
 

The industry has also witnessed several strategic alliances between companies to launch new products with added functionalities and to maintain revenue share & profitability such as the April 2021 collaboration of Google Cloud with Broadcom to deliver Broadcom’s suite of security and enterprise operations software on the Google Cloud infrastructure.
 

This market research report on AIOps includes in-depth coverage of the industry with estimates & forecast in terms of revenue in USD from 2017 to 2027 for the following segments:

Market, By Component

  • Solution
    • Domain-Agnostic AIOps
    • Domain-Centric AIOps
  • Service
    • Professional Service
    • Managed Service

Market, By Deployment Model

  • Cloud
  • On-premise

Market, By Enterprise Size

  • Large Enterprises
  • SMEs

Market, By Application

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

Market, By End-use

  • BFSI
  • IT & telecom
  • Healthcare
  • Retail
  • Government
  • Manufacturing
  • Media & entertainment
  • Others

The above information has been provided for the following regions and countries:

  • North America
    • U.S.
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia & New Zealand (ANZ)
    • Singapore
  • Latin America
    • Brazil
    • Mexico
    • Argentina
    • Colombia
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Israel
    • South Africa

 

Frequently Asked Questions (FAQ) :

The market size of AIOps surpassed USD 2 billion in 2020 and will exhibit more than 20% CAGR between 2021 and 2027, says this GMI report.
Domain-agnostic solution is expected to garner more than USD 500 million in U.S. market by 2023 due to the demand for monitoring tools across DevOps and I&O.
Cloud deployment model could capture more than 35% of the revenue share in the U.K. by 2027 on account of predictive maintenance, anomaly detection and closed-loop issue remediation.
Brazil AIOps industry from IT & telecom sector is likely to depict more than 20% CAGR through 2027 owing to investments in agile technologies.
BMC Software Inc., Digital.ai (CollabNet VersionOne), ExtraHob Networks Inc, IBM Corporation, PagerDuty Inc and Cisco Systems Inc., among others, are some of the leading companies in AIOps landscape.

Premium Report Details

  • Published Date: Nov 2021
  • Pages: 330
  • Tables: 494
  • Charts / Figures: 42
  • Companies covered: 25
  • Countries covered: 22

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