AIOps Global Market Report 2025

AIOps, short for Artificial Intelligence for IT Operations, involves the application of natural language processing and machine learning models to streamline and automate operational processes. This is particularly beneficial for large enterprises dealing with substantial volumes of log and performance data, enabling them to monitor assets and gain visibility into dependencies within and beyond their IT systems.

The key components of AIOps encompass platforms and services. An AIOps Platform refers to a system integrating big data and machine learning capabilities to support core IT operations activities through scalable data intake and analysis of the ever-growing amount, diversity, and velocity of IT data. AIOps is utilized by enterprises of varying sizes, including small, medium, and large-scale, to enhance operational efficiency. Deployment options include on-premise or cloud solutions. AIOps finds widespread application across sectors such as banking, financial services & insurance (BFSI), information technology (IT) & telecom, healthcare, retail, government, manufacturing, media & entertainment, and others. Its applications span real-time analytics, infrastructure management, network & security management, and application performance management.

The AIOps market research report is one of a series of new reports from The Business Research Company that provides AIOps market statistics, including AIOps industry global market size, regional shares, competitors with a AIOps market share, detailed AIOps market segments, market trends and opportunities, and any further data you may need to thrive in the AIOps industry. This AIOps market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AIOps market size has grown exponentially in recent years. It will grow from $8.91 billion in 2024 to $11.16 billion in 2025 at a compound annual growth rate (CAGR) of 25.3%. The growth in the historic period can be attributed to regulatory compliance requirements, adoption of containerization and microservices, emphasis on root cause analysis, focus on cost optimization and efficiency, enhanced user experience expectations.

The AIOps market size is expected to see exponential growth in the next few years. It will grow to $32.56 billion in 2029 at a compound annual growth rate (CAGR) of 30.7%. The growth in the forecast period can be attributed to evolution in containerization and microservices management, ongoing increase in volume of alerts and false positives, growth in adoption of agile and DevOps practices. Major trends in the forecast period include integration with DevOps practices, focus on proactive problem resolution, enhanced user experience monitoring, advanced analytics for predictive insights, hybrid and multi-cloud management, context-aware incident management.

The growing adoption of artificial intelligence (AI) is propelling the AIOps market. AI mimics human intelligence and is programmed to think and act like humans. It enhances organizations in numerous ways, from improving customer experiences to automating repetitive tasks. AI gathers and integrates the vast and increasing amounts of data generated by IT infrastructure components, filtering out irrelevant data or noise to identify occurrences and patterns related to issues affecting application availability and performance. This organization of data reduces workload and enhances efficiency for companies implementing AI. For instance, in April 2024, data published by Gradient Flow, a U.S.-based IT services and content creation and analysis company, revealed a rapid expansion in AI adoption, rising from 3.7% of companies in the fall of 2023 to 5.4% by February 2024. Therefore, the increasing adoption of AI across various sectors is expected to drive demand for AIOps during the forecast period.

The growing adoption of IoT devices is expected to drive the growth of the AIOps market. IoT devices are nonstandard computing devices that can connect to a network wirelessly and provide valuable data. AIOps can help manage the complexity associated with these connected devices in the IoT ecosystem, thus increasing demand for the technology. For instance, in August 2022, a report published by the Health Sector Cybersecurity Coordination Center (HC3), part of the U.S. Department of Health and Human Services' (HHS) Cybersecurity Program, noted that approximately 7 billion devices were connected through the Internet of Things (IoT) in 2022. Projections indicate significant growth, with an estimated additional 20 billion devices expected to leverage this technology by 2025. Therefore, the rising number of IoT devices is driving the expansion of the AIOps market.

Strategic partnerships have emerged as a key trend gaining traction within the AIOps market. Companies operating in the AIOps sector are focusing on strategic partnerships to bolster their new product development initiatives and penetrate new markets. For example, in April 2023, IBM Consulting, a US-based IT service management company, collaborated with CloudFabrix, a US-based data-centric AIOps platform provider. This partnership aims to help clients execute next-generation IT operations use cases by unifying data, AI, and automation, enabling enterprise-wide observability, in-place search capabilities, and asset intelligence analytics. Through such collaborations, companies aim to leverage complementary expertise to offer enhanced solutions and expand their market reach within the AIOps domain.

Major companies within the AIOps market are actively engaged in developing new AIOps platforms, sophisticated software solutions employing AI, machine learning (ML), and analytics to automate IT operations and enhance the efficiency of IT personnel. For instance, in September 2023, Senser Technologies Corp, a US-based software solutions provider, unveiled an Artificial Intelligence for IT Operations (AIOps) platform. These platforms leverage AI and ML technologies to automate, optimize, and monitor various IT processes. They excel in collecting and analyzing vast volumes of data from diverse sources, including monitoring and observability tools, configuration management databases, app performance monitoring service maps, and cloud orchestration systems. The AIOps platform by Senser Technologies Corp utilizes the extended Berkeley Packet Filter (eBPF) technology running in the microkernel of Linux operating systems to gather data from IT environments, ensuring comprehensive insights and analysis.

In August 2023, International Business Machines Corporation (IBM), a U.S.-based multinational technology company, acquired Apptio Inc. for an undisclosed amount. This acquisition is intended to enhance IBM's cloud and AI-driven software solutions by incorporating Apptio's technology, which will provide clients with advanced capabilities for IT financial management and operational optimization. Apptio Inc. is a U.S.-based company that utilizes AI in its cloud-based technology business management software.

Major companies operating in the AIOps market include BMC Software Inc, IBM Corporation, Moogsoft Inc, Splunk Inc, Appdynamics LLC (Cisco Systems Inc), Sumo Logic Inc., Dynatrace LLC, Extrahop Networks Inc., New Relic Inc., Resolve Systems LLC, Stackstate BV, CA Technologies, Micro Focus International plc, Dell Inc., Broadcom Inc., ScienceLogic, Correlata Solutions, Loom Systems, OpsRamp Inc., PagerDuty Inc., BigPanda Inc., Datadog Inc., Elastic N. V., LogicMonitor Inc., Zoho Corporation, Netreo Inc., Atlassian Corporation Plc, Opsview Ltd., Microsoft Azure AI, Google LLC

North America was the largest region in the AIOps market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the aiops market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the aiops market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Canada, Spain.

The AlOps market includes revenues earned by entities by automating IT operations procedures, such as event correlation, anomaly detection, and causality determination, by combining big data and machine learning. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AIOps Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on aiops market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for aiops ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The aiops market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Component: Platform; Services
• 2) By Organization Size: Small and Medium Enterprises; Large Enterprise
• 3) By Deployment Mode: On Premise; Cloud
• 4) By Application: Real-Time Analytics; Infrastructure Management; Network & Security Management; Application Performance Management; Other Applications
• 5) By End-Use: Banking, Financial Services, and Insurance (BFSI); Information Technology (IT) & Telecom; Healthcare; Retail; Government; Manufacturing; Media & entertainment; Other End Users
• Subsegments:
• 1) By Platform: AIOps Software; Analytics And Visualization Tools; Automation And Orchestration Tools; Incident Management Tools; Integration And API Management Tools
• 2) By Services: Consulting Services; Implementation Services; Support And Maintenance Services; Training And Education Services
• Companies Mentioned: BMC Software Inc; IBM Corporation; Moogsoft Inc; Splunk Inc; Appdynamics LLC (Cisco Systems Inc)
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.