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AIOps Market - Growth, Trends, COVID-19 Impact, and Forecasts (2021 - 2026)

The AIOps market is segmented by Organization Type (Small and Medium Enterprises, Large Enterprises), Deployment (On-Premises, Cloud/SaaS), End User Industry (Media and Entertainment, IT and Telecom, Retail, Healthcare, BFSI), and Geography.

Market Snapshot

aiops market
Study Period:

2018 - 2026

Base Year:

2020

Fastest Growing Market:

Asia Pacific

Largest Market:

North America

CAGR:

21.05 %

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Market Overview

The AIOps Market was valued at USD 13.51 billion in 2020, and is projected to be worth USD 40.91 billion by 2026, registering a CAGR of approximately 21.05% during the forecast period of 2021-2026. With the increase in the number of people working from home, enterprise instituted work-from-home (WFH) policies shifted information security focus from enterprise infrastructure to cloud and virtualized infrastructure. For instance, according to IBM Security report 2020, about 54% of the organizations mentioned that they require remote working in response to Covid-19. Such developments are driving the demand for cloud-based solutions.

  • Large volumes of alerts, significant IT noise, and signals distributed across disparate tools hold back DevOps professionals. Meanwhile, teams' requirement to improve performance across IT infrastructure and more accurately solve and resolve incidents faster is growing.
  • With the increasing awareness of how AI can address these challenges and help run IT operations, enterprises are shifting focus towards the adoption of the AI-based solutions. A recent study from New Relic found that 89% of 750 global senior IT decision-makers surveyed believe that AI and machine learning are essential for how organizations run IT operations. Nearly 84% have mentioned AI, and machine learning will ultimately make their role more manageable. This positive outlook for AI is set to transform into widespread usage of AIOps over the next few years.
  • Further, as devices are gaining intelligence, systems have become more complicated with increasing data volume, thus increasing the adoption of AIOps. The increasing cloud adoption, across the world, is also fueling automation of these processes. Therefore, as more enterprises are migrating to the cloud, the need for AIOps platforms is also expected to increase.
  • According to LogicMonitor, 83% of enterprise workloads are expected to be in the cloud by 2020. The company also estimated that, by 2020, 41% of enterprise workloads would be running on public cloud platforms. An additional 20% are expected to be private-cloud-based, followed by another 22% deploying on hybrid cloud platforms. Also, on-premise workloads are anticipated to shrink to 27% by 2020, from 37% in 2017. The rising need for the orchestration and automation solutions for these cloud services is also forcing the cloud user to adopt AIOps platforms.
  • The IT Operations Management (ITOM) industry is already reacting to the emergence of SaaS ITOM. SaaS as a delivery model for IT helpdesks and infrastructure monitoring has proven to be useful. These solutions typically incorporate log management, website monitoring, server monitoring, and cloud management from acquired SaaS vendors. However, lack of awareness is one of the major concerns restraining market growth, during the forecast period.
  • In March 2020, Sumo Logic Inc. announced a number of free analytics solutions and resources to help support enterprises and the broader community during the coronavirus pandemic. It unveiled a bundle of SaaS apps designed to help IT and security teams ensure critical business applications are up, running and secure.

Scope of the Report

AIOps combines machine learning and big data functionality to analyze the increasing variety, volume and velocity of data generated due to digital transformation to support operations. The key functions/capabilities of AIOps platforms include storing & providing access to data, suggesting prescriptive responses to analysis, enabling data analytics using ML, ingesting data from multiple sources and initiating an action.

Organization Size
Small and Medium Enterprises
Large Enterprises
Deployment
On-Premise
Cloud/SaaS
End User Industry
Media and Entertainment
IT and Telecom
Retail
BFSI
Healthcare
Other End User Industries
Geography
North America
Europe
Asia Pacific
Rest of the World

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Key Market Trends

BFSI is Expected to Hold Significant Share

  • Banking operations include many periodic and aperiodic activities and transactions performed by employees, customers, and external agencies. These activities are complex, which makes its monitoring essential. With AIOps delivering realtime information, automated problem solving amongst others, it is expected to boost the market growth over the forecast period. For instance, the AIOps platform from CA technologies, i.e., CA Digital Experience Insights, enables the financial firms in solving complex IT problems, including performance, capacity, and configuration issues.
  • Banks and other financial institutions are primarily focusing on ensuring the security of the data they generate, especially due to the numerous high-profile data breaches that took place over the past few years.
  • The implementation of reliable IT operation management solution is essential for banks, in order to provide the best possible service levels, primarily to support its internal workflows, as well as to deliver better customer service. Furthermore, they are focusing on maintaining optimal service efficiency in their day-to-day IT operations.
  • The rising implementation of regulatory standards and the increasing adoption of cloud-based IT solutions, along with increasing modes of online payments, are expected to drive the market.
  • Furthermore, the integration of AI in operation services, across the financial institutions, enhanced the capabilities built into the service desk systems, thus providing the oversight and critical performance indicators, which are necessary for the higher management, in order to identify operational trends, before they adversely impact the existing products and processes.
AIOps 1.png

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Europe to Witness Significant Growth

  • One of the primary reasons for the growth of the AIOps market in Europe is the region’s MSPs seeking to offer comprehensive services to enterprises undergoing large-scale digital transformation and requiring modern operations solutions.
  • According to the survey “The 2020 State of IT” done by Spiceworks on 1005 respondents (which included North American and European business technology buyers) in July 2019, 43% said that their company was currently using IT automation, with a further 15 % planning to use it within the following 12 months and 11% planning to use in 1- 2 years.
  • Moreover, according to The Artificial Intelligence Report published by Microsoft in 2019 (done on AI leaders in 277 countries across seven sectors and 15 countries in Europe), 89% of the respondents expect AI to generate business benefits by optimizing their companies’ operations in the future. This is followed by 74% that expect AI to be key to engaging customers.
  • The most widely reported AI adoption (47%) was in the IT/Technology function, followed by R&D with 36%, and customer service 24%. This signifies the growing importance given to AI in the IT operations field.
  • As per the estimates by Pitchbook and Crunchbase, as of January 2020, 20 European unicorns were active in finance, insurance, and real estate. In comparison, there were roughly eight unicorns specifically dedicated to health and pharmaceuticals, and IT & telecommunications, respectively. This indicates an increase in the future adoption of AIOps for these industries.
AIOps Map.png

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Competitive Landscape

The competitive rivalry amongst the players in the market is high owing to the presence of some key players such as IBM, HCL, Tech Mahindra, amongst others. The ability to continually innovate their products and services has allowed them to gain a competitive advantage over other players in the market. Through strategic partnerships, mergers & acquisitions, and research and development activities, these players can attain a greater market footprint.

  • May 2020 - IBM Corporation partnered with PagerDuty to connect the human and machine data to provide a more powerful AIOps solution for the PagerDuty’s customers. By leveraging PagerDuty’s 350+ integrations and over 11 years of analytics on how customers respond to incidents, IBM Watson AIOps will be able to provide users with comprehensive insights on events that may impact IT to take action in real-time to resolve the issues.

Recent Developments

  • November 2020 - LogsHero Ltd. announced the launch of Devops Pulse which is considered the largest survey in the company’s history that covers insights from 1000 engineers. The survey is insightful as the area of focus was on cloud-native technology, highlighting increased adoption of technologies such as microservices, serverless, and Kubernetes, and the challenges these solutions pose for achieving observability, optimizing production monitoring, and driving visibility into application and infrastructure performance.
  • August 2020 - Rackspace Technology released Rackspace Fabric which now includes the Moogsoft AIOps Platform, and thus applies artificial intelligence (AI) and machine learning (ML) to log, metric, trace and alert data to help resolve IT incidents faster and more effectively. The integration into Rackspace Fabric means Rackspace customers will experience increased uptime and fewer incident alerts by utilizing machine learning to solve IT problems.

Table of Contents

  1. 1. INTRODUCTION

    1. 1.1 Study Assumptions and Market Definition

    2. 1.2 Scope of the Study

  2. 2. RESEARCH METHODOLOGY

  3. 3. EXECUTIVE SUMMARY

  4. 4. MARKET DYNAMICS

    1. 4.1 Market Overview

    2. 4.2 Industry Attractiveness - Porter's Five Force Analysis

      1. 4.2.1 Bargaining Power of Suppliers

      2. 4.2.2 Bargaining Power of Consumers

      3. 4.2.3 Threat of New Entrants

      4. 4.2.4 Intensity of Competitive Rivalry

      5. 4.2.5 Threat of Substitute Products

    3. 4.3 Market Drivers

      1. 4.3.1 Increasing Cost of Data Breaches

      2. 4.3.2 Growing Threat of Harmful Insider Attacks

    4. 4.4 Market Restraints

      1. 4.4.1 Limited Availability of Skilled Workforce and Users

    5. 4.5 Market Opportunities and Key Developments

      1. 4.5.1 SMEs Moving Towards Cloud Infrastructure

      2. 4.5.2 Government Initiatives For AI Adoption in Various Countries

    6. 4.6 AIOps Tools Released in Past Two Years and Key AIOps Platform Capabilities To be Considered

    7. 4.7 Application of AIOps across various Use Cases Over the Life Cycle of an Application

    8. 4.8 Evolution of AIOps Stages and Use Cases

    9. 4.9 Assessment of Impact of COVID-19 on the Market

  5. 5. KEY APPLICATION LANDSCAPE

    1. 5.1 Root Cause Analysis

    2. 5.2 Network Availability and Optimization

    3. 5.3 Problem Assignment

    4. 5.4 Anomaly Detection and Cybersecurity

    5. 5.5 Improved Storage Management

  6. 6. CASE STUDIES DEPICTING USAGE OF AIOPS IN LARGE AND SMALL & MEDIUM-SIZED ENTERPRISES

  7. 7. MARKET SEGMENTATION

    1. 7.1 Organization Size

      1. 7.1.1 Small and Medium Enterprises

      2. 7.1.2 Large Enterprises

    2. 7.2 Deployment

      1. 7.2.1 On-Premise

      2. 7.2.2 Cloud/SaaS

    3. 7.3 End User Industry

      1. 7.3.1 Media and Entertainment

      2. 7.3.2 IT and Telecom

      3. 7.3.3 Retail

      4. 7.3.4 BFSI

      5. 7.3.5 Healthcare

      6. 7.3.6 Other End User Industries

    4. 7.4 Geography

      1. 7.4.1 North America

      2. 7.4.2 Europe

      3. 7.4.3 Asia Pacific

      4. 7.4.4 Rest of the World

  8. 8. COMPETITIVE LANDSCAPE

    1. 8.1 Company Profiles*

      1. 8.1.1 BigPanda Inc.

      2. 8.1.2 BMC Software Inc.

      3. 8.1.3 Broadcom Inc (CA Technologies)

      4. 8.1.4 Elasticsearch B.V.

      5. 8.1.5 IBM Corporation

      6. 8.1.6 Logz.io (LogsHero Ltd.)

      7. 8.1.7 Loom Systems Ltd. (Service Now Inc)

      8. 8.1.8 Moogsoft Inc.

      9. 8.1.9 Splunk Inc.

      10. 8.1.10 Appdynamics LLC (Cisco Systems Inc)

      11. 8.1.11 Dynatrace LLC

      12. 8.1.12 Extrahop Networks Inc.

      13. 8.1.13 New Relic Inc.

      14. 8.1.14 Resolve Systems LLC

      15. 8.1.15 Stackstate BV

      16. 8.1.16 Anodot Ltd.

      17. 8.1.17 Brains Technology Inc.

      18. 8.1.18 Devo Inc.

      19. 8.1.19 Digitate

      20. 8.1.20 ITRS Group Ltd

      21. 8.1.21 Nastel Technologies

      22. 8.1.22 Scalyr Inc.

      23. 8.1.23 Sumo Logic Inc.

      24. 8.1.24 VNT Software

      25. 8.1.25 VuNet

      26. 8.1.26 Aisera Inc.

      27. 8.1.27 Espressive Inc.

      28. 8.1.28 Evolven Software

      29. 8.1.29 Amelia US LLC (Ipsoft)

      30. 8.1.30 Numerify Inc.

      31. 8.1.31 ServiceNow Inc.

      32. 8.1.32 Harness Inc.

      33. 8.1.33 OverOps Inc.

      34. 8.1.34 Kentik Inc.

      35. 8.1.35 Pico Quantitative Trading LLC

      36. 8.1.36 OpsRamp Inc.

      37. 8.1.37 ScienceLogic

      38. 8.1.38 Virtana

      39. 8.1.39 Zenoss Inc.

      40. 8.1.40 Datadog Inc.

  9. 9. INVESTMENT ANALYSIS

  10. 10. FUTURE OF THE MARKET

**Subject to Availability

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Frequently Asked Questions

The AIOps Market market is studied from 2018 - 2026.

The AIOps Market is growing at a CAGR of 21.05% over the next 5 years.

Asia Pacific is growing at the highest CAGR over 2021- 2026.

North America holds highest share in 2020.

  • Moogsoft Inc.
  • IBM Corporation
  • Splunk Inc.
  • BMC Software Inc.
  • Sumo Logic Inc.

Are the major companies operating in AIOps Market.

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