Artificial Intelligence for IT Operations Platform Market Size, Share, and Trends 2024 to 2034

Artificial Intelligence for IT Operations Platform Market Size and Forecast 2024 to 2034

The global artificial intelligence for IT operations platform market size accounted for USD 14.77 billion in 2024 and is anticipated to reach around USD 77 billion by 2034, expanding at a CAGR of 17.95% from 2024 and 2034.

Artificial Intelligence for IT Operations Platform Market Key Takeaways

• North America contributed more than 39% of revenue share in 2023.
• Asia Pacific is expected to grow at the highest CAGR over the forecast period.
• By offering, the platform segment captured more than 86% of revenue share in 2023.
• By application, the real-time analytics segment generated more than 86% of revenue share in 2023.
• By deployment mode, the on-premises segment captured more than 67% of revenue share in 2023.
• By deployment mode, the cloud segment is expected to grow at the fastest rate over the forecast period.
• By organization size, the large enterprise segment accounted for the largest revenue share and is expected to continue the same pattern over the forecast period.
• By industry vertical, the BFSI segment recorded over 20% of revenue share in 2023.

U.S. Artificial Intelligence for IT Operations Platform Market Size and Growth 2024 to 2034

The U.S. artificial intelligence for IT operations platform market size is estimated at USD 14.77 billion in 2024 and is predicted to be worth around USD 77 billion by 2034, growing at a CAGR of 17.95% from 2024 and 2034.

The North America is expected to grow at the highest CAGR over the forecast period. Growing R&D efforts for artificial intelligence products, the quick development of AI-based applications, a major move towards digitalization, and Industry 4.0 trends will all contribute to the market's expansion in the area. Additionally, higher expenditures in cloud-based infrastructures, a focus on AI-based skill development initiatives on the part of the government, as well as the adoption of AI-based workloads across a variety of industries, may all contribute to the market growth of AI platforms. Moerover, the massive use of data science, computer vision, and natural language processing technology in various industries promotes the market’s growth. All these factors collectively boost the growth of the market in Asia Pacific.

Asia Pacific is expected to capture a significant market share over the forecast period. Consumer apps for AI-based investing advices are gaining steam in the US to help investors make better investment choices. This is supported by the region's abundance of AIOps platform manufacturers. AIOps platforms are being created by several companies, including IT giants and start-ups. AIOps platform adoption in the area is also significantly influenced by substantial R&D spending and ongoing digital transformation in advanced countries. AIOps solutions that offer full-stack observability, actionable analytics, and intelligent automation are used by multiple firms in North Americs to enhance the digital experience in addition to providing LEDs and a variety of other technology-related products. Thus, driving the market growth in the region.

Market Overview

Artificial intelligence for IT operations is referred to as AIOps. It is a novel method of managing technology that makes use of machine learning and artificial intelligence to find issues before they arise, forecast when they will, and promptly fix them. Combining the best of human and machine intelligence to do regular activities while enabling IT employees to concentrate on more essential things, helps companies decrease downtime, enhance uptime, and raise productivity. Approximately 90% of CIOs in the Global 2000 will utilize AIOps solutions by 2026 to automate workload and remediation procedures, boost cost and performance metrics, and increase resilience and agility.

Artificial Intelligence for IT Operations Platform Market Growth Factors

The market for artificial intelligence operations platforms is being pushed by reasons including the rising connection in IT operations, the growing need for image recognition systems, and increased data expansion. A possibility is presented by the procurement of cutting-edge technology by expanding big market corporations. Artificial intelligence for IT operations (AIOps) usage is also expanding as systems grow more complex as a result of rising data volume and device intelligence. The increased global use of cloud computing is also encouraging the automation of these processes. As more businesses move to the cloud, it is predicted that the need for artificial intelligence for IT operations (AIOps) solutions will rise.

Market Scope

Market Dynamics

Driver

Increasing IT complexities and data volumes

With the rapid proliferation of technology and the adoption of cloud computing, virtualization, containerization, and distributed systems, IT infrastructures have become more complex and dynamic. AIOps platforms help organizations manage this complexity by providing real-time insights, automation, and predictive analytics to optimize IT operations. In addition, the explosion of data generated by various applications, devices, and systems has created a need for advanced analytics solutions. AIOps platforms are capable of ingesting and analyzing large volumes of data from diverse sources, enabling organizations to gain valuable insights and make data-driven decisions. Thus, this is expected to drive market growth over the forecast period.

Restraint

Data privacy and security concerns

Platforms for IT operations rely heavily on accessing and analyzing vast amounts of data from various sources, including sensitive information. This raises concerns about data privacy, compliance with regulations (e.g., GDPR, CCPA), and the risk of potential data breaches. Organizations need to ensure robust data security measures and comply with data protection laws while leveraging AIOps platforms. Therefore, data privacy and security concerns are one of the major restraints that hamper the market growth over the forecasted period.

Opportunity:

Cloud migration and hybrid IT environments

The adoption of cloud computing and the proliferation of hybrid IT environments create complex IT infrastructures. AIOps platforms offer the ability to manage and monitor such diverse environments effectively, providing real-time insights and proactive incident management. The growth in cloud adoption presents a significant opportunity for AIOps vendors to cater to the unique needs of cloud-native and hybrid environments. Thus, this is expected to offer a lucrative opportunity for market growth during the projected period.

Offering Insights

Based on the offering, the global artificial intelligence for IT operations platform market is segmented into platform and service. The platform segment is expected to grow at a substantial rate over the forecast period. AIOps manufacturers provide corporate organizations with dependable, adaptable, and cutting-edge platform experiences to give them a competitive edge in the marketplace. Its corporate advantages, including improved integrated agility, decision-making, effective data processing, and quicker digital transformation, should be credited for this significant market share.

Application Insights

Based on the application, the global artificial intelligence for IT operations platform market is segmented into infrastructure management, application performance analysis, real-time analytics, network & security management and others. The real-time analytics segment is expected to dominate the market over the forecast period. The integration of real-time analytics in AIOps platforms is expected to continue driving their adoption across various industries. As organizations seek to optimize their IT operations and deliver seamless digital experiences, the demand for AIOps platforms with real-time analytics capabilities is likely to grow.

Moreover, advancements in AI and ML technologies will further enhance real-time analytics in AIOps platforms, providing more accurate insights and predictive capabilities. Vendors are expected to focus on developing scalable and real-time data processing solutions to cater to the increasing demand for real-time analytics in AIOps platforms. Thereby, driving market growth.

Deployment Mode Insights

Based on the deployment mode, the global artificial intelligence for IT operations platform market is segmented into cloud and on-premise. The cloud segment is expected to grow at the fastest rate over the forecast period due to the variables including the growing use of cloud computing by businesses, considerable expenditures in cloud infrastructure services, and a strong need for automating labor processes at low cost.

As cloud platforms may provide easy accessibility, huge data storage, flexibility, hassle-free deployment, and other benefits, they are among the key drivers impacting the market's expansion. Cloud-based AI solutions, which are more common than on-premise models, do not require additional hardware installation or infrastructure upkeep and reduce organizational upfront expenses. Additionally, choices for price flexibility, such as monthly or yearly subscriptions, have had a significant impact on the market development of cost-effective AI platforms throughout the period. Therefore, propelling the segment growth during the forecast period.

Organization Size Insights

Based on the organization size, the global artificial intelligence for IT operations platform market is segmented into SMEs and large enterprises. The large enterprise segment accounted for the largest revenue share and is expected to continue the same pattern over the forecast period. Large enterprises often have sprawling and diverse IT infrastructures, including multiple data centers, cloud environments, and hybrid setups. AIOps platforms were deployed to manage these complex infrastructures efficiently. Large enterprises deal with a significant volume of IT incidents daily. AIOps' predictive and proactive capabilities were leveraged to detect and resolve incidents before they impacted business operations. Automated incident correlation and root cause analysis facilitated faster resolution, minimizing the impact on end-users and reducing downtime. Thereby, driving the segment growth over the forecast period.

Industry Vertical Insights

The BFSI segment is expected to dominate the market over the forecast period. The IT Operations in the financial services industry frequently use AIOPs, a potent methodology. Whenever used diligently, wisely, and carefully by enterprises, it has the potential to be beneficial. Finance AIOps include anything from chatbot assistance to task automation and incident detection. Security challenges and data breaches are common in the banking sector. AIOps platforms and tools may prevent these problems and raise customer satisfaction levels by improving the standard of financial services provided. Thus, these advantages are expected to propel the segment expansion over the forecast period.

Artificial Intelligence for IT Operations Platform Market Companies

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

Recent Developments

• In February 2022, a new AI platform service called Singularity, developed by Microsoft, was unveiled to support the collaboration of hundreds or even thousands of GPUs and AI accelerators. All of the devices are treated as a single cluster by the infrastructure service. This makes sure that no resources are wasted and that every gadget is utilized to its fullest.
• In February 2022, to help businesses and SMEs with preventative IT system maintenance, Monq Lab, a Latvian AIops startup, launched a free version of its incident control and automation platform available. The solution, formally known as Monq Free Community Edition, is built on a topological database and combines machine learning and robust correlation to predict and address imminent IT crises. It analyzes data from a variety of monitoring systems, automatically determines topology, evaluates the health of the application and infrastructure, and provides rapid root cause analysis, enabling businesses to identify issues with their IT systems quickly.

Segments Covered in the Report:

By Offering

• Platform
• Service

By Application

• Infrastructure Management
• Application Performance Analysis
• Real-Time Analytics
• Network & Security Management
• Others

By Deployment

• Cloud
• On-premise

By Organization Size

• SMEs
• Large Enterprises
• By Industry Vertical
• BFSI
• Healthcare & Life Sciences
• Retail & E-commerce
• IT & Telecom
• Energy & Utilities
• Government & Public Sector
• Media & Entertainment
• Others

By Geography

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa