As per Intent Market Research, the global AIOps platform market accounted for USD 10.4 billion in 2023-e and is projected to reach USD 50.1 billion by 2030, growing at a CAGR of 25.2% from 2024 to 2030.

AIOps stands for Artificial Intelligence for IT Operations. It is advanced analytics including machine learning and AI to monitor and manage the performance and reliability of applications and hardware systems, detect anomalous problems, adapt to changes in load, handle failures, and proactively or rapidly adjust with no or minimal disruption of services. Other names for AIOps are IT operations analytics (ITOA), advanced operational analytics, AI for ITOM, IT data analytics, and Cognitive Operations.

AIOps is the multi-layered use of big data analytics and machine learning applied to IT operations data. The goal is to automate IT operations, intelligently identify patterns, augment common processes and tasks, and resolve IT issues. AIOps brings together service management, performance management, event management, and automation to realize continuous insights and improvement.

Emphasis on Streamlining IT Operations Driving the Adoption of AIOps Platform

AIOps leverages artificial intelligence (AI) and machine learning (ML) to enhance and automate various aspects of IT operations, contributing to increased efficiency, faster incident resolution, and improved overall performance. AIOps platforms use advanced analytics and pattern recognition to detect anomalies and potential issues in real-time. This helps in proactively identifying and resolving incidents before they impact the system or end-users.

AIOps tools continuously monitor the performance of IT infrastructure and applications. By analyzing historical data and patterns, these platforms can provide insights that help optimize resource allocation and prevent performance bottlenecks. AIOps platforms provide continuous monitoring of IT environments and adapt to changes dynamically. This ensures that operations remain efficient even as the IT landscape evolves.

By optimizing resource allocation, preventing downtime, and automating routine tasks, AIOps contributes to cost savings for organizations. Considering the potential benefits of integration of AIOps, an increasing number of enterprises are adopting the AIOps platform, thereby driving the global market.

AIOps Platform Market Segment Insights

High Demand for Domain-centric AIOps Platform Driving the Market

Domain-centric AIOps is the application of AIOps to solve problems within a certain domain. This type of platform focuses on homogenous, first-party datasets and offers AI capabilities to solve specific business use cases, such as network and application diagnostics.  It can be customized to align with industry-specific workflows and processes. This customization ensures that the AIOps solution integrates seamlessly with existing tools and practices within a particular domain.

Certain industries, such as finance, healthcare, and government, have strict compliance and regulatory requirements. Domain-centric AIOps solutions can be designed to meet these specific standards, providing organizations with confidence in their adherence to industry regulations. These advantages have promoted the adoption of domain-centric AIOps platforms in the market.

Source: Intent Market Research Analysis

Large Enterprises Dominating the Deployment Segment

Large enterprises typically operate at a massive scale with complex and diverse IT infrastructures. AIOps platforms can handle the scale and complexity by automating tasks, providing insights, and enabling efficient management of vast amounts of data and systems. Large enterprises deal with a multitude of routine and repetitive tasks in their IT operations. AIOps platforms automate these tasks, freeing up IT staff to focus on more strategic initiatives, innovation, and complex problem-solving.

As large enterprises grow and evolve, their IT infrastructure needs to scale accordingly. AIOps platforms are designed to be scalable, allowing them to adapt to the increasing volume and complexity of data and systems that large enterprises manage. Large enterprises captured the major share of the global market in 2023. 

On-premise Segment Expected to Lead the Deployment Segment

On-premise AIOps platforms offer a solution that aligns with regulatory requirements while still providing the benefits of AI-driven IT operations. On-premise AIOps platforms provide a solution that allows organizations to leverage AI for IT operations while maintaining control over their data. On-premise solutions offer a high level of customization and control over the deployment. Organizations can tailor the AIOps platform to fit their specific needs, integrate it seamlessly with existing on-premise systems, and have greater control over updates and configurations.

Real-time Analytics Expected to Show Significant Share

Real-time analytics enable AIOps platforms to detect anomalies and potential issues as they occur. This proactive approach allows IT teams to identify and address problems before they escalate, minimizing downtime and service disruptions. Real-time analytics provide immediate insights into the performance and health of IT systems. This enables IT teams to respond swiftly to incidents, reducing resolution times and ensuring a faster recovery from disruptions.

Real-time analytics play a crucial role in triggering automation workflows in response to specific events or conditions. Automation can be initiated promptly based on real-time insights, improving the efficiency of routine tasks and incident resolution. Real-time analytics contribute to operational intelligence by providing actionable insights into system performance, resource utilization, and application behavior. This intelligence helps IT teams make informed decisions in real time. In 2023, the real-time analytics segment is estimated to account for a significant share of the market.

BFSI to Capture the Major Share of the Market

The BFSI sector typically operates complex and distributed IT infrastructures that include a wide range of applications, databases, networks, and third-party services. AIOps helps to  manage this complexity by providing real-time insights, proactive issue detection, and automated responses to incidents. The BFSI sector is heavily regulated, with stringent compliance requirements related to data security, privacy, and operational standards. AIOps platforms can assist in ensuring compliance by providing real-time monitoring, audit trails, and automated responses to potential compliance violations.

AIOps platforms can employ advanced analytics and machine learning to detect patterns indicative of fraudulent activities. Real-time analysis of transaction data and user behavior helps in identifying anomalies and potential fraud, allowing for swift intervention. AIOps help in optimizing resource utilization and reduce operational costs by automating routine tasks and preventing downtime. This is particularly important in the BFSI sector, where efficient operations directly impact the bottom line.  

Asia-Pacific to Grow Exponentially in the Coming Years

Asia-Pacific has been witnessing a rapid expansion of IT infrastructure, including cloud adoption, data center growth, and increased connectivity. AIOps is well-suited to manage the complexity and scale of modern IT environments, making it a valuable solution for organizations in the region. Asia-Pacific is home to a diverse range of industries, including finance, healthcare, manufacturing, e-commerce, and more. AIOps adoption is expected to grow across these verticals as organizations seek to enhance operational efficiency, optimize performance, and drive innovation.

The Asia-Pacific region has a growing pool of skilled IT professionals and technology talent. This availability of talent can facilitate the adoption and implementation of AIOps solutions by organizations in the region thereby driving regional share in global AIOps platform market.

Source: Intent Market Research Analysis

Major Industry Players are Enhancing their Market Positions By Adopting Several Growth Strategies

Major players operating in the global AIOps platform market are BMC Software, Broadcom, Cisco, Dynatrace, Elastic, HCL, IBM, Interlink Software, Micro Focus, Moogsoft, NTT Data, OpenText, and SolarWinds. Additionally, Autointelli, BigPanda, CloudFabrix, ManageEngine, Netreo, New Relic, PagerDuty, ProphetStor, Resolve, Sumo Logic, and Zoho are emerging companies in the market.

To tap the potential share of the market, major players have started adopting strategies such as new product launches, mergers & acquisitions, partnerships & collaboration. Some of the significant developments are mentioned below

• In November 2023, BMC announced new AIOps capabilities for the BMC Helix Operations Management solution using its BMC HelixGPT capability. The BMC Helix Operations Management solution transforms IT operations with out-of-the-box service blueprints for dynamic service modeling, easy-to-read situation explainability, and situation fingerprinting to remember similar situations.
• In June 2023, Cisco announced the launch of a new Full-Stack Observability Platform, a vendor-agnostic solution that harnesses the power of the company's full portfolio. It delivers contextual, correlated, and predictive insights that allow customers to resolve issues more quickly and optimize experiences, while also minimizing business risk.

AIOps Platform Market Coverage

The report provides key insights into the AIOps Platform market, and it focuses on technological developments, trends, and initiatives taken by the government and private players. It delves into market drivers, restraints, opportunities, and challenges that are impacting market growth. It analyses key players as well as the competitive landscape within the global market.

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