AIOps Market

AIOps Market Size and Share:

The global AIOps market size was valued at USD 27.60 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 120.19 Billion by 2033, exhibiting a CAGR of 17.8% during 2025-2033. North America currently dominates the AIOps market revenue, holding a significant market share of over 40.7% in 2024. The escalating complexity of IT environments, considerable growth in data volume, and the demand for proactive and predictive IT operations as organizations increasingly turn to artificial intelligence (AI) and machine learning (ML) to enhance operational efficiency are some of the factors positively influencing AIOps market share.

The growing need for effective IT operations management and the expanding use of AI and machine learning technologies across industries are driving the market's notable expansion on a global scale. Along with this, organizations are leveraging AIOps to enhance operational efficiency, automate repetitive tasks, and enable real-time analytics for proactive issue resolution. The need for advanced tools to handle complex IT settings was further spurred by the quick development of cloud computing, Internet of Things (IoT) devices, and big data. On 26^th December 2024, Microsoft announced AIOpsLab, an open-source AI framework to augment cloud-based IT operations where developers can build, test, and enhance AIOps agents. Built on top of Azure AI Agent Service, AIOpsLab will bring a fault generator and the observability layer with end-to-end telemetry. The former advocates standardized approaches over proprietary systems, and it is announced that AIOpsLab will be presented at the ACM Symposium on Cloud Computing 2024. Furthermore, the growing emphasis on digital transformation projects and the need for flawless customer experiences are driving the AIOps market's growth.

The United States stands out as a key regional market, primarily driven by the growing complexity of IT infrastructures and the increasing reliance on digital services. Businesses are adopting AIOps to address challenges in managing hybrid environments, integrating legacy systems, and ensuring system reliability. Moreover, regulatory compliance requirements and the need for improved business continuity strategies are encouraging organizations to invest in AIOps solutions. In addition, the rising demand for enhanced security, predictive analytics, and automated IT workflows is further accelerating AIOps market demand. On 1^st October 2024, CognitOps launched "Align Facility," the first AI-based product to offer facility-wide warehouse performance management with unified metrics and predictive analytics. It combines data from various departments, allowing supervisors to adjust labor efficiently and optimize operations. U.S. companies focus on innovation and the proliferation of data from IoT devices and cloud platforms also contribute to the US AIOps market share.  

AIOps Market Trends:

Growing complexity in IT environments

The escalating complexity of modern IT environments, characterized by a myriad of applications, infrastructure components, and interdependencies is enhancing the AIOps market outlook. As organizations embrace digital transformation, their IT ecosystems become more intricate, making manual monitoring, and troubleshooting impractical. AIOps automatically correlates events and finds patterns throughout the entire IT stack by utilizing artificial intelligence (AI) and machine learning (ML) to analyze large datasets in real-time. The global machine learning market size reached USD 31.0 Billion in 2024. This capability enables proactive issue resolution, reduces downtime, and enhances overall operational efficiency in the face of the intricate and dynamic nature of contemporary IT architectures.

Increasing volume and velocity of data

The significant growth of data generated by IT infrastructure, applications, logs, and user interactions is a significant driver for the market. As the volume and velocity of data continue to grow, traditional methods of monitoring and managing IT environments prove inadequate. AIOps excels in handling massive datasets by employing advanced analytics to discern meaningful insights. The global advanced analytics market size was valued at USD 26.9 Billion in 2024. This includes anomaly detection, predictive analytics, and root cause analysis, empowering organizations to extract actionable intelligence from the vast amount of data produced in real-time. The ability to navigate and derive value from this data deluge positions AIOps as a critical solution for organizations seeking to maintain optimal IT performance and respond swiftly to new challenges.

Rising demand for proactive and predictive IT operations

One of the leading AIOps market growth drivers is the growing need for proactive and predictive IT operations. Traditional reactive approaches to incident resolution are insufficient in today's fast-paced and dynamic digital landscape. AIOps allows IT teams to take a proactive rather than reactive approach by using machine learning algorithms to predict possible problems before they affect operations. According to Harvard Business Review, 49% of organizations use ML and AI to identify sales prospects, while 48% employ these technologies to better understand their prospects and customers. This proactive feature improves the market's overall user experience while reducing downtime. Businesses view AIOps as a strategic investment that will guarantee the ongoing performance and availability of their IT systems, bringing IT operations into line with business goals and providing a more responsive and flexible IT infrastructure.

AIOps Industry Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global keyword market, along with forecast at the global, regional, and country levels from 2025-2033. The market has been categorized based on organization size, deployment mode, and end use industry.

Analysis by Organization Size:

• Small and Medium Enterprises
• Large Enterprises

Large enterprises stand as the largest segment in 2024, holding around 76.7% of the market. A large organization, with expansive and complex IT infrastructures, deals with managing big data, a great diversity of applications, and intricate interdependencies. Large enterprises require customized solutions such as AIOps that offer advanced analytics and various machine learning algorithms along with the ability to automate such operations. These provide large organizations with the potential for self-managed monitoring, analysis, and optimization of all their IT operations with heightened efficiency in problem resolution and improvement across the wide range of their IT ecosystems, thereby impelling the segment growth.

Analysis by Deployment Mode:

• On-premise
• Cloud

On-premise leads the market with around 69.5% of market share in 2024. Some enterprises prefer to host AIOps platforms in their data centers, especially those with legacy IT infrastructures or strict security and regulatory requirements. This deployment provides these enterprises with direct control over the hardware, software, and security measures, offering a sense of data sovereignty and customization, is strengthening market demand. While on-premise solutions may require higher initial investments and entail ongoing maintenance responsibilities, they cater to organizations seeking a tailored and locally managed approach to AIOps implementation, aligning with specific IT governance policies and strategic preferences.

Analysis by End Use Industry:

• Media and Entertainment
• IT and Telecom
• Retail
• BFSI
• Healthcare
• Others

BFSI leads the market with around 21.6% of market share in 2024. In the heavily regulated, data-intensive financial sector, AIOps is playing a very crucial role in optimizing IT operations, security compliance, and customer experience. It allows real-time monitoring of transactions, fraud detection, and rapid incident resolution. The financial industry's dependence on complex IT systems for transactions, risk management, and customer interactions creates a high demand for AIOps, which is essential to ensure operational resilience, minimize downtime, and respond proactively to potential issues.

Regional Analysis:

• North America
  • United States
  • Canada
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
• Latin America
  • Brazil
  • Mexico
  • Others
• Middle East and Africa

In 2024, North America accounted for the largest market share of over 40.7%, driven by a mature IT landscape, a high degree of technology adoption, and a robust emphasis on innovation. Large-scale enterprises in the region, especially in the United States, understand that AIOps is the right thing to manage complicated infrastructures of IT and realize their optimal performance. The adoption of AIOps allows North American organizations to gain more agility, reduce risks, and provide seamless digital experiences. Major technology hubs along with the culture of early adoption of technology render North America one of the leaders in this market segment.

Key Regional Takeaways:
 

United States AIOps Market Analysis

In 2024, the United States accounted for 87.60% of the total North America AIOps market. The United States has long been a hub for AI innovation, with the country consistently leading in the establishment of AI startups. In the United States, 4,633 AI startups were established between 2013 and 2022. 524 new AI businesses were founded in 2022 alone, and they raised USD 47 Billion in non-governmental capital. This strong startup ecosystem is a key factor driving the growth of the AIOps market. As digital transformation accelerates, IT and business leaders are increasingly considering AI-driven automation in managing complex IT systems and infrastructure. AIOps solutions utilizing machine learning and AI-based approaches allow for real-time monitoring, predictive analytics, and anomaly detection at the operational level. This is also due to the sheer speed with which hybrid and multi-cloud environments are being adopted in the US, thereby raising the need for effective AIOps tools to streamline IT. With the emergence of advanced cyber threats and the growing requirement for greater security, AIOps also plays an important role in proactive risk management and detection of threats. The push to be more compliant with the regulations in data privacy adds another business advantage to leveraging AIOps. Furthermore, increased attention to DevOps and agile practices propels AIOps to accelerate its adoption to provide continuous monitoring and automation of IT environments.

Asia Pacific AIOps Market Analysis

The AIOps market is expanding significantly in the Asia-Pacific (APAC) region because of the quick digital transformation of many different sectors. The increasing need for Internet of Things (IoT) solutions is a major driver of this growth. According to an article by Takshashila University, India, for example, is experiencing tremendous growth in IoT adoption that has been catalyzed by programs such as Digital India and Smart Cities. India will reach around 500 Million IoT connections by 2025, driven by increasing adoption in healthcare, agriculture, and manufacturing industries. This increasing IoT connectivity directly impacts the AIOps market, as businesses need advanced AI-powered solutions to manage and analyze the massive data generated by IoT devices. Additional aspects pushing demand for AIOps are an expanding cloud computing infrastructure within the region and the focus on cybersecurity. Increased investments in AI and machine learning in key APAC markets, such as China, India, and Japan, keep encouraging innovation to speed up the adoption of AIOps and improve operational efficiency while boosting security management.

Europe AIOps Market Analysis

The increasing demand for operational efficiency and real-time monitoring across complex IT infrastructures is propelling the market in Europe. The growing use of artificial intelligence (AI) technology is a major contributor to this expansion. According to the European Commission, 8% of EU enterprises used AI technologies in 2023, reflecting the region's gradual but steady shift toward AI-driven solutions. The need for AIOps solutions to handle hybrid and multi-cloud infrastructures is growing as more companies embrace digital transformation. These platforms, leveraging AI and machine learning, provide integrated analytics, anomaly detection, and automated remediation, enabling businesses to streamline operations and enhance system reliability. Apart from this, the rising need for cybersecurity and data privacy regulation like GDPR is pushing the implementation of AIOps in order to comply and minimize risk. The same is accelerating the growth of AIOps in sectors like manufacturing, healthcare, and finance, which are investing in AIOps as a part of digital transformation. This trend of increased DevOps and Agile methodology in Europe will further escalate the demand for AIOps, as more companies find ways of real-time monitoring and managing their IT environment.

Latin America AIOps Market Analysis

Rapid digital transformation and growing internet connectivity are driving the AIOps market in Latin America. According to the Latin America Digital Transformation Report 2023 by Atlántico, internet penetration in the region grew from 43% to 78% over the past decade, with countries like Chile reaching 90%, surpassing China. This rise in connectivity, fueled by the inclusion of middle and lower-income classes, positioned Brazil and Mexico among the top 10 countries with the largest digital populations, with a combined total of 282 Million users in 2023. This growing digital base is boosting the demand for AIOps solutions to manage complex IT environments.

Middle East and Africa AIOps Market Analysis

In the Middle East and Africa (MEA) region, the market is growing rapidly, driven by digital transformation and innovation. The Middle East alone is home to 1,843 AI startups, according to The National highlights the emphasis by the region on artificial intelligence and machine learning. Artificial intelligence adoption is causing high demand for AIOps solutions, which monitor in real-time, can develop predictive analytics, and undertake self-remediation measures to optimize business operation systems. Smart city initiatives, industrial development of oil and gas by digitalization, and growing cybersecurity concerns are among various factors driving AIOps adoption across the region.

Competitive Landscape:

As per the AIOps industry insights, the key players are highly involved in strategic initiatives for sustenance in the market to maintain their leadership and cater to the specific needs of customers. These leaders in the field are always coming up with new ideas and spending money on R&D to provide cutting-edge features and capabilities for their AIOps solution. Cooperations and alliances with other technology vendors are common for the strategy in expanding their product portfolio and interoperability. Major strategic trends observed in mergers acquired by key players for expanding the global footprint and increasing regional presence are followed. With the rapid growth in digital transformation, AIOps provider companies are embracing new technologies such as machine learning, automation, and predictive analytics and integrating them into the solution to deliver more powerful, scalable, and intelligent platforms that capture the nuances of modern IT operations for maximum performance in dynamic environments.

The report provides a comprehensive analysis of the competitive landscape in the AIOps market with detailed profiles of all major companies, including:

• Appdynamics (Cisco Systems Inc.)
• BMC Software Inc.
• Broadcom Inc.
• Dynatrace Inc.
• HCL Technologies
• International Business Machines Corporation
• Micro Focus International plc
• Moogsoft Inc.
• Resolve Systems LLC
• Splunk Inc.
• Vmware Inc. (Dell Technologies Inc.)
• Zenoss Inc.

Latest News and Developments:

• May 2024: Datadog, Inc. announced the general availability of IT Event Management, expanding its AIOps capabilities. The feature consolidates and correlates alerts from Datadog and third-party tools, reducing noise and alert fatigue. By providing enriched event context, it helps operations teams quickly identify root causes, prioritize issues, and remediate incidents, improving service availability in complex IT environments.
• January 2024: Juniper Networks unveiled its AI-Native Networking Platform, which incorporates AI-driven solutions for end-to-end network assurance. The platform enhances AIOps for automated troubleshooting, reduces operational costs, and cuts network issues by up to 90%, offering significant efficiency improvements for IT teams.
• November 2023: BMC, a leading provider of software for the Autonomous Digital Enterprise, announced improvements to its BMC Helix Service Management solution, that incorporate contextual tools, low-code/no-code development, and generative AI. These updates aim to improve enterprise security and streamline operations. The BMC Helix platform's revolutionary features have been acknowledged as a leader in Forrester's Enterprise Service Management and Process-Centric AI for IT Operations (AIOps) reports.
• November 2023: Broadcom Inc. introduced the Trident 5-X12 chip with NetGNT, an on-chip neural-network inference engine for AIOps. NetGNT detects real-time traffic patterns, such as AI/ML congestion, and applies congestion control without impacting performance. The chip, with 16.0 Tbps bandwidth and 800G port support, enhances data center efficiency for AI/ML workloads.
• June 2022: Cisco unveiled AppDynamics Cloud at Cisco Live, enabling cloud-native observability to optimize application performance and resolve issues proactively. The platform supports DevOps and SRE teams in meeting KPIs and service-level objectives while leveraging OpenTelemetry™ standards and cloud partnerships to enhance modern distributed architectures.

AIOps Market Report Scope:

Key Benefits for Stakeholders:

• IMARC’s report offers a comprehensive quantitative analysis of various market segments, historical and current market trends, market forecasts, and dynamics of the AIOps market from 2019-2033.
• The AIOps market research report provides the latest information on the market drivers, challenges, and opportunities in the global market.
• The study maps the leading, as well as the fastest-growing, regional markets. It further enables stakeholders to identify the key country-level markets within each region.
• Porter's five forces analysis assist stakeholders in assessing the impact of new entrants, competitive rivalry, supplier power, buyer power, and the threat of substitution. It helps stakeholders to analyze the level of competition within the AIOps industry and its attractiveness.
• Competitive landscape allows stakeholders to understand their competitive environment and provides an insight into the current positions of key players in the market.