AIOps Market Size - By Component, By Deployment Mode, By Enterprise Size, By Application, By End Use, Growth Forecast 2025 - 2034

AIOps Market Size

The global AIOps (Artificial Intelligence in IT Operations) market size was valued at USD 5.3 billion in 2024 and is estimated to register a CAGR of 22.4% between 2025 and 2034.
 

The growing complexity of IT environments, coupled with the need for real-time analytics and automated root-cause detection, is driving the adoption of AIOps platforms across enterprises globally. Moreover, businesses are increasingly leveraging AIOps to reduce operational costs, enhance system reliability, and accelerate digital transformation especially in sectors such as banking, healthcare, telecom, and retail.
 

Artificial Intelligence for IT Operations (AIOps) includes big data analytics, machine learning (ML), etc. that are innovative AI technologies to improve the performance of the detection, analysis, and resolution of reoccurring IT problems. It helps organizations achieve a deep insight into the operational approach, predict various disruptions, identify behavioral patterns, and simplify troubleshooting in complex IT environment.
 

As enterprises embrace more distributed topologies, for example multi-cloud topologies, micro-services, containers and hybrid infrastructures, there is an exponential growth of performance logs and telemetry data. These AIOps platforms intelligently aggregate and analyze this information making it possible for teams to effectively monitor the infrastructure, discover interdependencies between its components and proactively service system health both in terms of internal networks and external service network.
 

For instance, in October 2024, Keep, an open-source AIOps platform, raised USD 2.7 Mn to increase its AI-powered capabilities designed for reducing alert fatigue of operations teams. Keep receiving considerable community support since its launch, gathering 3,000 stars on GitHub, and has a community of 400 members and 60 contributors. The platform calls boast a 97% reduction in signal-to-noise level, hence giving clearer lights as to how infrastructure is performing to the users.
 

AIOps Market Trends

• AI is becoming a tool of choice for retailers that are using it to provide hyper personalized experiences using real-time consumer data, which indicates a necessity to adjust customer-related business strategies such as recommendations of goods, marketing ideas, and pricing based on changing customer behaviors.
   
• For example, in April 2025, Tata Consultancy Services (TCS) entered strategic partnership with Google Cloud to fast-track AI-driven change within the retail world. This partnership leverages the powerful AI & ML that offenders Google Cloud with the rich retail industry know-how of TCS to empower business to keep pace with changing consumer behavior and tech trends. The initiative seeks to apply AI solutions to provide customized personal customer experience and operational efficiencies amongst others.
   
• The advancement in AI-Driven automation for IT Operations is a disruptive shift of the Artificial Intelligence in IT Operations market. AI-powered platforms such as AIOps and ServiceOps are being increasingly used by organizations to improve IT operations by automating routine tasks and increasing operational efficiency and delivering real time analytics. These solutions utilize the power of machine learning and the power of predictive analytics to proactively detect and address problems thus lowering downtime and improving the user experience.
   
• For instance, in October 2024, Motadata unveiled its next-gen AIOps and ServiceOps solutions at Technology Senate 2024. The platforms offer AI-driven automation, real-time analytics, and intelligent IT service management to enhance operational efficiency and customer experience.
   
• The adoption of AIOps within cloud-based platforms is an ever-increasing necessity as cloud-based enterprises are moving to hybrid or even multi- cloud environments. This integration is ensuring scalability, optimizing resource allocation and increasing overall performance. AI-driven solutions watch the cloud environments in real-time and offer insights on usage patterns and points to performance bottlenecks that enable organizations better to manage their cloud infrastructure, cut down costs and increase flexibility of IT operations.
   
• Additionally, AI powered automation is changing IT operations as it eliminates the need for human intervention in normal procedures. All the way from monitoring processes to managing incidents, AI algorithms automate routine processes and optimize operations processes while increasing the overall operations efficiency. This automation reduces human error, accelerates solutions of problems, and makes the services available constantly. By processing mundane tasks, AI relieves IT teams of strategic priorities and greater problems thereby maximizing resource usage.
   

Trump Administration Tariffs

• Tariffs on such imported equipment as semiconductors and AI hardware components (generally Taiwanese, South Korean and Chinese Made GPUs) will increase production costs for AIOps solutions. Such imports play a significant role in companies such as Nvidia, which might then be forced to shunt increased costs to consumers ultimately hampering the adoption and development of AI.
   
• The tariffs might interfere with existing global supply chain flow, which are bound to make companies think twice about how they source. Enterprises may switch to domestic or other international suppliers to offset the effects from tariffs that could result in a reorientation of customers’ geographic locations of technology investments and availability and pricing of AIOps solutions.
   
• Cloud companies like AWS, Microsoft Azure and Google Cloud produce AI and AIOps as services, and they have more chances to lose money because they import hardware, so their goods are under the tariff. Such higher costs may be passed onto final users so that the cost of cloud-based AI services would become higher thereby negatively impacting the adoption of AIOps particularly for SMEs.
   
• Tariff-induced economic pressures may lead to a re-evaluation of AI talent mobility and investment strategies. Companies might focus on developing AI capabilities domestically, affecting international collaboration and potentially leading to a fragmented global AI landscape, this shift could impact on the development and deployment of AIOps solutions worldwide.
   

AIOps Market Analysis

Based on component, the AIOps market is divided into solutions and service. The solution segment held a market share of over 60% and is expected to generate revenue of USD 28 billion by 2034.  
 

• Solutions find their place in automating complex IT tasks like root cause, event and anomaly detection. These capabilities base AIOps platforms enabling enterprises to optimize IT operations, cut down manual effort and enhance operational efficiency. With this emerging digital transformation, industry players pay more attention to critical, strong AIOps solutions that can be deployed immediately and that are scalable.
   
• For example, in April 2024, BMC Software announced its acquisition of Netreo to augment its BMC Helix platform with Netreo’s network performance monitoring and diagnostics (NPM&D) capabilities. This strategic move is meant to give customers a full stack, open observability and AIOps solution to provide full views of applications, infrastructures and networks.
   
• AIOps solutions are interoperable across multiple IT domains cloud, on-premises and hybrid platform with centralized observability and management. Enterprise organizations look for a scalable platform of software which ensures an evolutionary path of the infrastructure thus making the solution segment the most attractive and dominant.
   
• For instance, in August 2023, VIAVI Solutions entered a partnership with Google Cloud to launch NITRO AIOps, on a cloud-based network intelligence & optimization platform. This collaboration provides communications service providers with the opportunity to use machine learning and advanced analytics for proactive network management, thereby improving performance and customer experience.
   
• Major AIOps vendors such as IBM, Moogsoft, Splunk, and Broadcom are primarily putting emphasis on creating a full-fledged software platform. Their go-to-market strategies focus on product excellence, AI, and user experience, and the solution segment of the AIOps market with such platforms.
   
• For instance, in June 2023, IBM reported its intention to enter a deal to acquire Apptio Inc, from Vista Equity Partners, for USD 4.6 billion. This acquisition is intended to elevate the IT automation and AI offerings of IBM enabling clients with better tools for managing and optimizing the technology investments in hybrid and multi-cloud environments.
   

Based on the deployment mode, the AIOps market is divided into on-premises, and cloud. The on-premises segment dominated the market accounting for over 54% market share in 2024.
 

• The on-premises segment dominates the AIOps (Artificial Intelligence in IT Operations) market because it can provide more control, data security, and compliance, and is very important in industries such as finance, healthcare and government that are highly regulated. Organizations dealing with sensitive or mission critical workloads favor on premise deployments to have full control of infrastructure and mitigate minimal external exposure. Also, the requirement for seamless integration with legacy systems and the need for low latency performance also justify on-premises solutions which are a strategic decision for many enterprises.
   
• In June 2023, Cisco launched a new on-premises AIOps platform, Cisco Full-Stack Observability, specifically tailored for enterprises needing deep customizations. This solution gives businesses full control over data collection, storage, and AI model applications, helping them build personalized dashboards and systems optimized for their operations.
   
• In addition, increased demand for regulatory compliance across highly governed fields like banking, healthcare and public sector services is spurring the growth of on-premises segment in AIOps market. Laws such as the GDPR, HIPAA, etc., which are regional data protection laws that exist, mean that any organization must operate and store the sensitive information in accordance with certain jurisdiction within a specific time frame and under an imposing role of control. On premise AIOps solutions provide a reliable route to compliance whereby enterprises can have all ownership and control for their data infrastructure. This guarantees that it has only legal compliance amongst other benefits minimizing the risks with third party Cloud providers who may not have the same level of regulatory compliance.
   

Based on enterprise size, the AIOps market is categorized into large enterprises, and SMEs. The large enterprises segment held a market share above 46% in 2024.
 

• Large enterprises tend to maintain complicated IT infrastructures; they combine on premise structures with cloud-based solutions with legacy platforms. Integrating and sustaining such heterogeneous environments is the challenge. AIOps simplify this mess by automating monitoring, detection, and remediation on systems, giving one picture of operations. AIOps leverage machine learning and AI to enhance organizations’ ability to proactively detect and address performance challenges ensuring business continuity by eliminating human intervention.
   
• For instance, in January 2025, Microsoft CEO Satya Nadella unveiled a significant USD 3 billion investment plan aimed at enhancing India's AI and cloud capabilities. This initiative includes the establishment of new data centers and the expansion of Azure services across the country. Additionally, Microsoft has committed to training 10 million Indians in AI skills by 2030 through its ADVANTA(I)GE India program, which has already trained 2.4 million individuals, surpassing its initial target.
   
• Moreover, big enterprises produce a large volume of operational and transactional data that must be processed, analyzed, and acted upon as soon as possible to maintain system uptime and operational efficiency. AIOps solutions make use of machine learning algorithms to identify patterns and anomalies in real time and business can take proactive measures.
   
• For instance, in March 2024, Cisco Systems finalized its USD 28 billion acquisition of Splunk, aiming to bolster its AI-enabled security and observability capabilities. This strategic move is expected to enhance Cisco's product offerings and drive advancements in AI-driven IT operation.
   

Based on application, the AIOps market is divided into infrastructure management, real-time analytics, network & security management, application performance management, and others. The real-time analytics segment held a market share above 30% in 2024.
 

• Real-time analytics enable organizations to detect potential issues before they escalate into larger problems, by continuously monitoring systems and analyzing data as it is generated, companies can identify anomalies and irregularities instantly. This proactive approach allows teams to resolve issues swiftly, minimizing system downtime and reducing the risk of significant operational disruptions, which ultimately improves service reliability and operational efficiency.
   
• The rapid growth of data, driven by IoT devices, sensors, and digital interactions, is a significant driver of real-time analytics, as more data is generated every second, businesses need advanced tools to process and analyze the data. Real-time analytics help organizations keep up with the massive volume of data by providing immediate insights and enabling quicker decision-making, thereby improving operational responsiveness.
   
• For instance, in December 2024, Kyndryl Inc. partnered with Star Energy Geothermal in Indonesia to integrate generative AI technology into its operational processes. This collaboration aims to handle the increasing volume of data generated by geothermal power operations through real-time analytics, enhancing decision-making and operational efficiency.
   

By end use, the AIOps market is divided into BFSI, IT & telecom, healthcare, retail, government, manufacturing, media & entertainment, and others. The IT & telecom segment held a market share above 27% in 2024.
 

• The IT & telecom sector works with very complex infrastructures such as vast networks, cloud and varied services. This complexity produces a massive surface of data that needs to be managed with sophisticated analytics for proactive monitoring, predictive maintenance, and real-time troubleshooting. AIOps facilitate these processes by making them smoother thus maintain system stability and increased performance.
   
• For instance, in March 2024, the Indian government approved an allocation of over USD 1.25 billion for the IndiaAI Mission over the next five years. This initiative aims to enhance computing capacity, support local startups, expand AI education, and develop advanced AI models.
   
• The continued migration to cloud services and infrastructure in IT & telecom companies drives the need for robust monitoring and analytics. AIOps help organizations manage cloud environments more efficiently by providing insights into system performance, resource allocation, and cost optimization, thereby enabling seamless cloud management.
   
• Automation is critical in IT & telecom due to the growing need to manage and optimize service delivery across global networks. AIOps platforms help automate routine tasks like network configuration, incident management, and event correlation, which reduces operational costs and enhances efficiency.
   
• In January 2025, Minister for Electronics & Information Technology Ashwini Vaishnaw announced the creation of an IndiaAI Safety Institute to ensure the ethical and safe application of AI models. The institute will promote domestic R&D grounded in India's social, economic, cultural, and linguistic diversity and based on Indian datasets
   

North America dominates the global AIOps market with a share of around 48% and U.S. leads the market in the region generating revenue of USD 361.3 million in 2024.
 

• The U.S. is hub to major global cloud and AI innovators like IBM, Microsoft, Amazon Web Services (AWS), Google, and Cisco. These companies are at the forefront of AIOps tool development, combining AI, machine learning, and big data to automate and optimize IT operations. Their substantial R&D investments and early adoption of AI-driven platforms enable rapid market expansion and continuous innovation.
   
• Additionally, many of these companies offer AIOps as part of their broader IT infrastructure suites, increasing their market reach. Their dominance in cloud services significantly boosts the U.S. position in the global AIOps landscape, reinforcing regional leadership. 
   
• For instance, in February 2024, Wipro and IBM announced the expansion of their partnership to launch the Wipro Enterprise AI-Ready Platform. This platform leverages IBM's WatsonX suite including watsonx.ai, watsonx.data, and watsonx.governance to help clients build customized, enterprise-level AI environments. It offers tools for automation, large language models, and robust governance, aiming to accelerate AI adoption across industries.
   
• The U.S. has one of the most advanced and complex IT infrastructures in the world, making it an ideal environment for AIOps deployment. Enterprises across sectors operate vast, hybrid IT environments that require sophisticated monitoring and automation tools. The maturity of IT networks, combined with widespread adoption of DevOps and agile methodologies, has fuelled demand for real-time analytics and anomaly detection capabilities. This creates a fertile market for AIOps providers to deliver predictive performance monitoring and incident response solutions.
   
• Large U.S. enterprises in industries such as finance, telecommunications, retail, and healthcare operate highly distributed and data-intensive environments. These organizations face mounting pressure to ensure service availability and business continuity. AIOps tools offer real-time anomaly detection, root cause analysis, and proactive incident resolution capabilities that are critical for minimizing downtime and operational risks. Additionally, large enterprises have the budgets and technical expertise to implement sophisticated AIOps platforms
   

The AIOps market in the China is expected to experience significant and promising growth from 2025 to 2034.
 

• China is at the forefront of adopting cutting-edge technologies, making it a major driver for the Artificial Intelligence in IT Operations market. The government's significant investment in AI and automation research is helping accelerate AI technologies. With a vast number of manufacturers and tech companies, China’s rapidly growing infrastructure and cloud services are fuelling the expansion of AI Ops platforms, offering organizations advanced data analytics, predictive monitoring, and automated IT management.
   
• China is at the forefront of adopting cutting-edge technologies, making it a major driver for the AIOps market. The government's significant investment in AI and automation research is helping accelerate AI technologies. With a vast number of manufacturers and tech companies, China’s rapidly growing infrastructure and cloud services are fuelling the expansion of AI Ops platforms, offering organizations advanced data analytics, predictive monitoring, and automated IT management.
   
• In July 2024, Shanghai announced a substantial investment of USD 13.8 billion to advance its integrated circuit, biomedicine, and artificial intelligence industries. The AI sector's funding will particularly target intelligent chips, software, autonomous driving, and intelligent robots, highlighting Shanghai's focus on becoming a leader in high-tech and cutting-edge sectors.
   
• China’s massive population, coupled with extensive digital footprints, generates vast amounts of data every day. The need to process and analyze this data efficiently is driving the growth of AI Ops tools. Companies in China are increasingly adopting AI Ops solutions to leverage big data and harness actionable insights for smarter decision-making, improving operational efficiency. The scale and volume of data present in China make AI Ops essential for driving business intelligence.
   

The AIOps market in UK is expected to experience significant and promising growth from 2025 to 2034.
 

• The rise in cyberattacks and security breaches in the UK, organizations are increasingly prioritizing cybersecurity within their IT operations. AI Ops solutions offer advanced cybersecurity capabilities, such as threat detection, automated incident response, and predictive security insights. As the UK continues to face evolving cyber threats, AI Ops platforms will play a pivotal role in safeguarding organizations’ IT infrastructures by improving the speed and efficiency of security operations, helping mitigate risks and prevent attacks.
   
• The UK government has made digital transformation a central pillar of its industrial strategy. Through initiatives like the "Digital Strategy" and investments in AI research, the UK is encouraging the widespread adoption of AI technologies. AI Ops is a key component of these initiatives, helping enterprises streamline their IT operations and improve service delivery. The government's strong support of digital innovation creates a favorable environment for AI Ops market growth.
   
• The increasing adoption of artificial intelligence and machine learning technologies in the UK is a major driver for the market, as companies look to incorporate machine learning into their IT management, AI Ops platforms that leverage AI and ML for predictive analytics and automation are gaining popularity. These technologies enable businesses to detect anomalies, predict issues, and automate IT processes, thereby improving the overall efficiency and performance of their IT operations.
   

AIOps Market Share

The top 5 companies leading the AI Ops industry in 2024 are IBM, Broadcom CA, Cisco, Elastic, Aisera. Together, they hold around 70% market share in the market.
 

• IBM is a leading player in the AIOps market with its Cloud Pak for AIOps platform, which leverages AI and machine learning to automate IT operations and improve incident management. IBM's AIOps solutions provide real-time visibility, anomaly detection, and predictive insights, helping organizations proactively manage complex IT environments. With a strong focus on hybrid cloud and AI, IBM targets industries such as finance, healthcare, and government, offering both cloud and on-premises deployment options. The company's extensive experience in AI and enterprise solutions positions it as a trusted provider for organizations seeking to optimize their IT operations.
   
• Broadcom, through its CA Technologies division, is a prominent player in the AIOps market, providing advanced IT operations management (ITOM) solutions. Its AIOps capabilities are embedded in solutions like DX Operational Intelligence, which uses AI-driven analytics to enhance IT visibility, automate incident response, and optimize service performance. Broadcom’s AIOps solutions are widely adopted by large enterprises across various industries, especially in highly regulated sectors that require robust data control, compliance, and security. The company’s deep expertise in infrastructure software and integration with its semiconductor offerings further strengthens its AIOps portfolio.
   
• Cisco has a strong presence in the AIOps market through its AppDynamics and ThousandEyes platforms. These solutions provide end-to-end observability across applications, networks, and cloud environments. Cisco’s AIOps capabilities enable IT teams to monitor application performance, detect anomalies, and automate root-cause analysis, reducing downtime and enhancing user experience. With a focus on hybrid cloud environments, Cisco’s AIOps solutions help organizations maintain operational resilience, optimize network performance, and ensure security compliance. Its integration with Cisco’s broader networking and security portfolio further enhances its value proposition.
   
• Elastic is a key player in the AIOps market with its Elastic Stack (ELK Stack), which provides powerful capabilities for log management, monitoring, and analytics. Elastic AIOps solutions enable organizations to collect, index, and analyze massive volumes of machine-generated data from various sources, providing real-time insights and automated anomaly detection. Widely used across industries such as finance, technology, and healthcare, Elastic's AIOps offerings are valued for their scalability, open-source flexibility, and seamless integration with cloud and on-premises environments. The company’s focus on search-powered analytics further enhances its AIOps capabilities.
   
• Aisera is an emerging leader in the AIOps market, offering an AI-powered platform that automates IT operations and support workflows. The company’s AIOps solutions leverage natural language processing (NLP), machine learning, and conversational AI to streamline incident management, automate ticket resolution, and enhance user experience. Aisera’s platform is known for its rapid deployment, integration with popular IT service management (ITSM) tools, and ability to deliver proactive service management. Targeting enterprises across sectors such as IT services, telecommunications, and finance, Aisera helps organizations improve operational efficiency and reduce response times.
   

AIOps Market Companies

Major players operating in the AI Ops industry include:

• Aisera
• BigPanda
• Broadcom
• Cisco
• Datadog
• Digitate (ignio)
• Dynatrace
• Elastic
• IBM
• Moogsoft

• The AIOps market is characterized by intense competition among technology giants, cloud service providers, and emerging startups. Companies like IBM, Cisco, and Splunk are leading the charge by offering comprehensive AI-driven IT operations solutions. These firms leverage their extensive experience in machine learning, cloud computing, and data analytics to provide platforms that enhance IT infrastructure management. The competitive environment is further intensified by the rapid adoption of AI technologies across various industries, prompting vendors to continuously innovate and expand their service offerings to maintain market leadership.
   
• Strategic alliances are pivotal in the AI Ops sector. For instance, in February 2024, Wipro and IBM expanded their partnership to launch the Wipro Enterprise AI-Ready Platform, integrating IBM's watsonx suite to offer customized AI environments for clients. Such collaborations enable companies to combine strengths, accelerate innovation, and deliver more robust solutions to meet the evolving demands of IT operations.
   
• Continuous technological advancements are central to the AI Ops market's growth. Companies are investing heavily in developing platforms that offer predictive analytics, automated root cause analysis, and intelligent alerting systems. For example, BMC's Helix AIOps platform utilizes machine learning to proactively identify and resolve IT issues, thereby reducing downtime and improving operational efficiency. These innovations are crucial for organizations seeking to enhance their IT operations through automation and AI-driven insights.
   

AI Ops Industry News

• In April 2025, Riverbed launched a next-generation AIOps platform, enhancing its observability suite with predictive, agentic, and generative AI capabilities. The platform introduces Riverbed IQ Assist, which leverages generative AI for contextual diagnostics and remediation guidance.
   
• In September 2024, DataOps.live has introduced advanced AIOps features to streamline the end-to-end lifecycle management of AI workloads, from development to production. Leveraging integrations with Snowflake Cortex and AWS Bedrock, the platform enables data professionals to efficiently build and operate AI-driven data products.
   
• In April 2024, BMC Software acquisition of Netreo, a provider of smart and secure IT network and application monitoring solutions, to enhance its leadership in observability and AIOps. The acquisition is aimed at expanding BMC’s capabilities in providing comprehensive visibility into business operations across infrastructure, networks, and applications through its open observability platform.
   
• In March 2024, Visionet Systems Inc. announced a strategic partnership with Algomox, an AI for IT Operations (AIOps) platform provider, to accelerate digital transformation within its ITOps infrastructure. The integration of Algomox's AIOps solution into Visionet’s managed cloud services will automate complex IT tasks, enhance operational efficiency, and deliver actionable insights to ensure reliable and intelligent service delivery.
   
• In September 2023, Viavi Solutions Inc. partnered with Google Cloud to introduce NITRO AIOps, a cloud-native platform designed for network intelligence and optimization. This initiative aims to address major operational challenges faced by communication service providers (CSPs), enabling proactive network management and unlocking new opportunities in performance optimization and service innovation.
   

The AIOps market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Bn) from 2021 to 2034, for the following segments:

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Market, By Component

• Solution
• Service

Market, By Deployment Mode

• On-premises
• Cloud

Market, By Enterprise Size

• Large enterprises
• SMEs

Market, By Application

• Infrastructure management
• Real-time analytics
• Network & security management
• Application performance management
• Others

Market, By End Use

• BFSI
• IT & telecom
• Healthcare
• Retail
• Government
• Manufacturing
• Media & entertainment
• Others

The above information is provided for the following regions and countries:

• North America
  • U.S.
  • Canada
• Europe
  • UK
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Nordics
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • Southeast Asia 
• Latin America
  • Brazil
  • Mexico
  • Argentina 
• MEA
  • UAE
  • South Africa
  • Saudi Arabia