AIOps Market Size (2024 - 2029)

The AIOps platforms market is experiencing significant growth, driven by the increasing complexity of IT environments and the rising demand for enhanced IT infrastructure performance. The shift towards AI-based solutions is being accelerated by the growing number of remote workers and the expanding use of cloud computing, which necessitate more automated and efficient operations. Despite the benefits, a lack of awareness poses a challenge to market expansion. The market's growth is further supported by the heightened focus on data security due to rising cyber threats, prompting enterprises to adopt advanced AI-driven platforms.

Market Size of AIOps Industry

AIOps Market Summary
Study Period 2019 - 2029
Market Size (2024) USD 27.24 Billion
Market Size (2029) USD 79.91 Billion
CAGR (2024 - 2029) 24.01 %
Fastest Growing Market Asia-Pacific
Largest Market Europe

Major Players

AIOps Market Major Players

*Disclaimer: Major Players sorted in no particular order

AIOps Market Analysis

The AIOps Market size is estimated at USD 27.24 billion in 2024, and is expected to reach USD 79.91 billion by 2029, growing at a CAGR of 24.01% during the forecast period (2024-2029).

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.

  • DevOps professionals are hampered by large amounts of warnings, substantial IT noise, and signals spread across diverse technologies. Meanwhile, companies need to increase IT infrastructure performance and manage events more precisely and quickly is expanding.
  • Enterprises are moving toward AI-based solutions as they become more aware of how AI can handle difficulties and assist operating IT operations. Furthermore, the growing number of individuals working from home will likely increase the AIOps industry. According to the World Economic Forum, the number of days US employees work from home climbed from 1.58 per week in January 2021 to 2.37 in June last year.
  • Furthermore, as devices gain intelligence, networks have become more complex, and data volumes have increased, boosting AIOps usage. The growing global use of cloud computing is also pushing the automation of many operations. As more businesses transition to the cloud, the need for AIOps platforms is projected to surge.
  • 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 is proven beneficial. 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 significant concerns restraining market growth during the forecast period.
  • Due to the increasing work-from-home policy across companies, the COVID-19 outbreak stimulated market growth in next-generation tech sectors, including artificial intelligence. For example, during the outbreak, LogMeIn, Inc. (US), a provider of cloud and SaaS-based remote connection and customer interaction services, substantially increased the number of new sign-ups across all its service portfolios.
  • The rising number of cybercrimes, such as hacking, phishing, online identity theft, and ransomware assaults, which cause business disruptions and financial losses worldwide, generated concerns for many companies about their data security. According to a last year's gov.uk poll, 39% of UK firms recognized a cyber assault in the preceding 12 months, consistent with prior years of the study. Furthermore, the increased acceptance of automation technologies in enterprises, even on a small scale, is driving the deployment of AI-based platforms, which is expected to boost AIOps market growth.

AIOps Industry Segmentation

AIOps combines machine learning and extensive data functionality to analyze the increasing variety, volume, and velocity of data generated due to digital transformation to support operations. The essential 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 action. 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 other end-user industries), and geography (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa).

The market sizes and forecasts are in terms of value (USD million) for all the above segments.

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AIOps Market Size Summary

The AIOps platforms market is poised for significant growth, driven by the increasing complexity of IT environments and the rising adoption of cloud computing. As enterprises shift towards AI-based solutions to enhance IT infrastructure performance and manage events more efficiently, the demand for AIOps platforms is expected to surge. The transition to remote work has further accelerated this trend, as companies seek to secure and optimize their cloud and virtualized infrastructures. The integration of AI in IT operations is becoming crucial, especially in sectors like banking and finance, where data security and operational efficiency are paramount. AIOps platforms are being leveraged to address challenges such as cybercrime, data breaches, and the need for real-time monitoring and automated problem-solving.

In Europe, the AIOps market is experiencing robust growth due to the region's focus on digital transformation and the strategic prioritization of AI by government entities. The European Commission's investment in AI through various programs is expected to bolster the AIOps industry, particularly in sectors handling sensitive data. The competitive landscape is marked by high rivalry among key players like Moogsoft Inc., IBM Corporation, and Splunk Inc., who are continually innovating and forming strategic partnerships to expand their market presence. Recent advancements in AIOps solutions, such as IBM's Cloud Pak for Watson AIOps and Fortinet's AI-based network services management, highlight the ongoing efforts to enhance IT operations and cybersecurity. As businesses increasingly adopt AI-driven technologies, the AIOps market is set to witness substantial growth, offering opportunities for innovation and strategic development.

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AIOps Market Size - Table of Contents

  1. 1. MARKET INSIGHTS

    1. 1.1 Market Overview

    2. 1.2 Industry Attractiveness - Porter's Five Forces Analysis

      1. 1.2.1 Bargaining Power of Suppliers

      2. 1.2.2 Bargaining Power of Consumers

      3. 1.2.3 Threat of New Entrants

      4. 1.2.4 Threat of Substitute

      5. 1.2.5 Intensity of Competitive Rivalry

    3. 1.3 Assessment of the Impact of COVID-19 on the Market

  2. 2. MARKET SEGMENTATION

    1. 2.1 Organization Type

      1. 2.1.1 Small and Medium Enterprises

      2. 2.1.2 Large Enterprise

    2. 2.2 Deployment

      1. 2.2.1 On-Premise

      2. 2.2.2 Cloud/SaaS

    3. 2.3 End-User Industry

      1. 2.3.1 Media and Entertainment

      2. 2.3.2 IT and Telecom

      3. 2.3.3 Retail

      4. 2.3.4 Healthcare

      5. 2.3.5 BFSI

      6. 2.3.6 Other End-User Industries

    4. 2.4 Geography

      1. 2.4.1 North America

      2. 2.4.2 Europe

      3. 2.4.3 Asia Pacific

      4. 2.4.4 Latin America

      5. 2.4.5 Middle East and Africa

AIOps Market Size FAQs

The AIOps Market size is expected to reach USD 27.24 billion in 2024 and grow at a CAGR of 24.01% to reach USD 79.91 billion by 2029.

In 2024, the AIOps Market size is expected to reach USD 27.24 billion.

AIOps Platforms Market Size - Industry Report on Share, Growth Trends & Forecasts Analysis (2024 - 2029)