AIOps Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Offering (Platform, Service), By Application (Infrastructure Management, Application Performance Analysis, Software Asset Management, Network & Security Management, Others), By Deployment (On-Premise, and Cloud), By Enterprise Size (Large Enterprises, Small and Medium-Sized Enterprises (SMEs)), By vertical (BFSI (Banking, Financial Services, and Insurance), Healthcare & Life Sciences, Retail & E-Commerce, IT & Telecom, Energy & Utilities, Government & Public Sector, Media & Entertainment, Others), By Region, Competition 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 2.27 Billion
CAGR (2026-2031)	18.73%
Fastest Growing Segment	Platform
Largest Market	Asia Pacific
Market Size (2031)	USD 6.36 Billion

Market Overview

The Global AIOps Market will grow from USD 2.27 Billion in 2025 to USD 6.36 Billion by 2031 at a 18.73% CAGR. Artificial Intelligence for IT Operations, or AIOps, involves the application of artificial intelligence and machine learning algorithms to automate and enhance IT operational workflows. These solutions analyze vast volumes of data generated by hardware and software components to identify anomalies, predict potential outages, and execute root cause analysis without human intervention. The primary drivers supporting market growth include the escalating complexity of modern hybrid cloud environments and the overwhelming volume of generated alerts, which necessitate intelligent automation to maintain system reliability and operational efficiency.

Despite the clear advantages, the market faces hurdles regarding the successful deployment of these complex systems. One significant challenge impeding market expansion is the difficulty organizations face in integrating fragmented data silos to provide the high quality datasets required for accurate algorithmic processing. According to CompTIA, in 2024, 62 percent of technology companies intended to increase their adoption of artificial intelligence to handle routine tasks and accelerate automation. While this indicates strong demand, realized growth depends on enterprises overcoming internal data governance issues and bridging the technical skills gap required to manage these advanced platforms.

Key Market Drivers

The surging complexity of hybrid and multi-cloud IT architectures acts as a foremost catalyst for the Global AIOps Market. As enterprises decentralize their infrastructure across on-premises data centers and diverse cloud platforms, the resulting operational noise creates a manageability crisis that traditional monitoring tools cannot handle. This architectural sprawl necessitates intelligent solutions capable of ingesting and correlating vast amounts of telemetry data to maintain system stability. According to Dynatrace, March 2024, in the 'The State of Observability 2024' report, 88 percent of organizations have experienced an increase in the complexity of their technology stack over the past 12 months. Consequently, businesses are aggressively deploying AIOps to decipher these intricate environments, ensuring that critical infrastructure remains visible and manageable despite the exponential growth in digital touchpoints.

Simultaneously, the market is propelled by the imperative for proactive incident management and faster resolution times to minimize costly service disruptions. Organizations are prioritizing AIOps to shift from reactive firefighting to predictive remediation, thereby drastically reducing Mean Time to Resolution (MTTR) and enhancing service availability. This operational shift delivers tangible reliability gains; according to New Relic, September 2024, in the '2024 Observability Forecast', organizations that achieved full-stack observability experienced 79 percent less downtime per year compared to those without such capabilities. The widespread recognition of these efficiency gains has solidified AI integration as a standard for modern operations. According to Splunk, in 2024, 97 percent of surveyed respondents utilized artificial intelligence and machine learning capabilities to enhance their observability operations, highlighting the sector's rapid maturation.

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Key Market Challenges

The inability to effectively integrate fragmented data silos represents a substantial barrier to the progress of the Global AIOps Market. AIOps platforms depend heavily on the ingestion of comprehensive, high-quality datasets to train machine learning algorithms and execute accurate root cause analyses. When organizational data is isolated within disparate legacy systems or departmental pockets, these platforms cannot access the holistic context necessary to identify anomalies or predict outages with precision. This fragmentation directly degrades the reliability of algorithmic outputs, rendering the automation less effective and reducing the overall value proposition for enterprises.

This issue of data quality and unification significantly restricts market scalability. According to the Association for Intelligent Information Management, in 2024, 52 percent of organizations reported encountering challenges related to data quality and categorization during the implementation of artificial intelligence systems. Such obstacles force companies to dedicate excessive resources to manual data cleansing rather than operational innovation. Consequently, the complexity of bridging these technical gaps deters widespread adoption and delays the realization of return on investment for AIOps deployments.

Key Market Trends

The integration of Generative AI and Large Language Models is fundamentally reshaping the Global AIOps Market by transitioning platforms from passive monitoring tools into active, conversational assistants. Unlike traditional predictive models that rely solely on numerical metrics, these generative systems can synthesize unstructured data to generate automated remediation scripts, summarize complex incident logs, and draft post-mortem reports in natural language. This capability significantly lowers the barrier to entry for non-technical staff and accelerates the development of automation playbooks. The momentum behind this trend is evident in enterprise strategies, as according to IBM, January 2024, in the 'Global AI Adoption Index 2023', 33 percent of surveyed enterprises identified the automation of IT processes as a key driver for their artificial intelligence adoption.

Simultaneously, the convergence of AIOps with observability and security frameworks is driving the market toward a unified DevSecOps approach. As cyber threats become more complex, organizations are abandoning isolated security tools in favor of integrated platforms that correlate performance anomalies with potential security breaches in real-time. This holistic visibility ensures that vulnerability management is embedded directly into the continuous delivery pipeline, preventing risks before they impact end-users. This strategic alignment is becoming a top priority for leadership, and according to Dynatrace, May 2024, in the '2024 CISO Report', 71 percent of Chief Information Security Officers stated that DevSecOps automation is critical to minimizing application security risk and ensuring robust defense measures.

Segmental Insights

Based on leading market analysis, the Platform segment is currently the fastest-growing category within the Global AIOps Market. This rapid expansion is driven by a strategic shift among enterprises toward unified solutions that consolidate fragmented monitoring tools into a single control plane. Organizations increasingly prioritize comprehensive platforms to centralize data ingestion and automate incident resolution across complex hybrid cloud environments. Unlike standalone applications, these integrated frameworks offer end-to-end visibility and scalability, which are essential for managing modern IT infrastructures. Consequently, the demand for robust software foundations is accelerating as businesses seek to streamline operational workflows and enhance reliability.

Regional Insights

Asia Pacific stands as the leading region in the Global AIOps market, dominating the adoption landscape through rapid digital transformation and aggressive infrastructure modernization. This dominance is driven by the region's massive shift toward complex hybrid cloud environments, particularly within the expanding IT and telecommunication sectors of major economies like China and India. The sheer volume of data generated by extensive mobile connectivity and IoT adoption renders traditional management obsolete, compelling enterprises to implement automated, AI-driven operations. Furthermore, government-backed smart city initiatives create a sustained demand for scalable IT resilience, cementing Asia Pacific’s position as the primary engine of global market expansion.

Recent Developments

• In February 2025, Dynatrace announced significant updates to its platform, focusing on expanding its AIOps capabilities into the realm of preventive operations. The company enhanced its Davis AI engine to not only identify problems but also predict anomalies and automate remediation workflows before they impacted business operations. These new features enabled organizations to optimize resource usage and maintain security posture proactively. The updates included improved dashboards with advanced log and metric analytics, aiming to reduce the manual effort required for root cause analysis and ensure higher service availability for global enterprise customers managing complex cloud-native stacks.
• In June 2024, Cisco unveiled its first major product integrations with Splunk, following the completion of its acquisition of the data platform. As part of this initiative, the company introduced Advanced AI capabilities within Splunk IT Service Intelligence (ITSI). This enhancement utilized machine learning to provide IT teams with more precise alerting and a more accurate view of IT health. The integration focused on delivering a unified full-stack observability experience, allowing customers to detect, investigate, and resolve problems faster across on-premises, hybrid, and multi-cloud environments, thereby improving overall digital resilience and operational efficiency.
• In May 2024, Datadog, Inc. announced the general availability of IT Event Management, a significant addition to its AIOps product suite. This new capability was designed to intelligently consolidate and correlate massive volumes of alert events and signals from both Datadog’s own platform and third-party observability tools into a single, consistent view. By automatically reducing alert fatigue and deduplicating events, the solution allowed IT operations teams to focus their resources on remediating critical issues. The launch aimed to help organizations proactively prevent outages and significantly reduce the impact of incidents in complex, modern IT environments.
• In March 2024, ServiceNow introduced new generative AI capabilities with its "Washington, D.C." platform release to enhance IT operations. A key component of this update was "Now Assist for ITOM AIOps," which leveraged generative AI to accelerate issue resolution by analyzing alerts and providing critical context to operators. This feature translated complex, machine-generated alerts into simple natural language, enabling operations teams to understand and solve issues more efficiently. The release underscored the company's strategy to embed intelligent automation directly into its platform, helping enterprises boost productivity and realize faster value from their strategic AI investments.

Key Market Players

• AppDynamics
• BMC Software, Inc.
• HCL Technologies Limited
• International Business Machines Corporation
• Micro Focus
• Moogsoft Inc.
• ProphetStor Data Services, Inc.
• Resolve Systems, Splunk Inc.
• VMware, Inc.

By Offering	By Application	By Deployment	By Enterprise Size	By vertical	By Region
Platform Service	Infrastructure Management Application Performance Analysis Software Asset Management Network & Security Management Others	On-Premise Cloud	Large Enterprises Small and Medium-Sized Enterprises (SMEs)	BFSI (Banking, Financial Services, and Insurance) Healthcare & Life Sciences Retail & E-Commerce IT & Telecom Energy & Utilities Government & Public Sector Media & Entertainment Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global AIOps Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• AIOps Market, By Offering:

• Platform
• Service

• AIOps Market, By Application:

• Infrastructure Management
• Application Performance Analysis
• Software Asset Management
• Network & Security Management
• Others

• AIOps Market, By Deployment:

• On-Premise
• Cloud

• AIOps Market, By Enterprise Size:

• Large Enterprises
• Small and Medium-Sized Enterprises (SMEs)

• AIOps Market, By vertical:

• BFSI (Banking, Financial Services, and Insurance)
• Healthcare & Life Sciences
• Retail & E-Commerce
• IT & Telecom
• Energy & Utilities
• Government & Public Sector
• Media & Entertainment
• Others

• AIOps Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE