AIOps Platform Market Size, Share, By Component (Platforms and Service), Organization Size (Small and medium-sized enterprises (SMEs) and Large Enterprises), By Vertical (banking, financial services, and insurance (BFSI), healthcare and life sciences, retail and consumer goods, It and telecom, manufacturing, government, media and entertainment, and others), and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) - Trends, Analysis and Forecast till 2034

AIOps Platform Market was valued at US$ 28.1 billion in 2024 and is projected to grow at a CAGR of 24.8% to reach US$ 211.3 billion by 2034.

AIOps Platform is an acronym for 'artificial intelligence for IT operations'. It describes systems that use analytics and machine learning (ML) to automate IT tasks. AIOps uses massive data from running appliances and is the only system to identify problems and take action instantly. AIOps uses machine learning (ML) to generate automatic insights from the diverse types of data it gathers, which it then uses to strategy and continuously improves. AIOps aims to solve a rapidly changing IT world with machine learning, automation, and big data.

AIOps optimizes its approach using machine learning and offers real-time analysis and IT issues identification. AIOps will be more critical as cloud use increases to maximize IT operations. Moreover, AIOps strongly aligns with the expanding initiatives to enhance cloud security. Owing to its connection with threat intelligence data sources, AIOps may anticipate and avert cloud framework threats. The process of locating and gathering security events in an IT system is called security event management, and AIOps may be very helpful in automating this process. AIOps can transform event management via machine learning (ML), allowing for the reform of observational and alerting techniques.

Sustained technology developments, increased industry acceptance, and the growing acknowledgment of AIOps as a strategic enabler for digital transformation and operational excellence bode well for the worldwide market's future.

Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.

AIOps Platform Market Drivers:

Growing AIOps usage in the financial sector

• The financial services industry's IT operations use AIOps, a potent technique, extensively. AIOps in finance includes everything from chatbot assistants to event identification and task automation. It might have a good influence if firms use it with research, prudence, and care. The banking sector's implementation of AIOps makes fast IT operations monitoring, security, and effective data management possible. Financial services businesses can handle massive volumes of data created and prevent human mistakes and IT staff workloads using AIOps.
• Finding abnormalities and stopping them is one of the key applications of AIOps in the finance industry. For fraud detection and data breaches, it takes around six months to find it out when using human processes, outdated tools, and technology, whereas it takes only a few seconds to complete using AIOps. With IT now actively participating in the financial sector's operations, IT is more expected to provide client experiences. IT incidents that may impact user experience must be promptly and effectively resolved.

Increasing number of cloud platforms

• The increasing use of cloud platforms by several associations from a variety of industries, including banking, e-commerce, healthcare, and others, increased demand for AlOps platforms spurred development. Numerous artificial intelligence approaches, like as automation, machine learning, research, and others, are combined in the AIOps platform. Machine learning technology is widely used in many commonplace systems, such as speech recognition, picture identification, and recommender systems. This expanding use has led to a rise in the need for machine learning.
• In addition, as image recognition systems have advanced, system accuracy has increased, increasing the need for machine learning in the upcoming years. It also provides a cognitive examination of the data and extracts relevant information for additional processing with the help of big data analytics. Integrating AI with IT operations makes real-time data correlation, multi-dimensional data normalization, severity-based issue prioritization, and reaction methods that minimize future disasters possible. Generating income for the AIOps Platform as a result. 

AIOps Platform Market Restrains:

Lack of skilled professional

• The market is expanding due to many variables, such as the amount of data and alarms that need to be assessed and the ability to do root cause analysis more quickly and accurately. However, the market's growth is limited by the high functional demand and the requirement for highly qualified personnel to implement and update.
• Companies should spend money on training and skill development initiatives to address the shortage of qualified labor. By providing training in AI, machine learning, and IT operations management, it is possible to bridge the skills gap and upskill current IT teams. This would ultimately help remove the obstacles that could eventually hurt the market.

AIOps Platform Market is segmented based on Component, Organization Size, Vertical and region:

Component Insights:

• Platforms:

Platforms include all the software programs that comprise the main components of AIOps operations. The functions that these systems usually provide include event correlation and automation, machine learning capabilities for enhancing AIOps efficacy over time, anomaly detection and root cause analysis, performance optimization, and data collecting and ingestion. AIOPS, BMC Helix AIOps, and Dynatrace AIOPS are a few well-known providers of AIOps platforms.

• Service:

Services provided by AIOps are expert services related to the deployment of AIOps. Consulting, integration, training, and continuing support are a few examples of these services. Service providers help businesses choose the best AIOps platform, customize its features to meet their unique requirements, integrate it with their current IT infrastructure, and guarantee successful adoption,

Among the segments mentioned above, the Platforms segment dominates the market due to its core value proposition and long-term effect; services are still necessary to successfully adopt AIOps and continuously optimize.

Organization Size Insights:

• Small and medium-sized enterprises (SMEs):

SMEs have fewer resources than major organizations. They employ AIOps platforms for a range of objectives targeted at increasing the efficiency and effectiveness of their IT operations. AIOps can proactively identify possible vulnerabilities in the IT infrastructure before they become outages. This aids SMEs in reducing downtime and guaranteeing uninterrupted functioning of their main business processes.

• Large Enterprises:

AIOps platforms are used by large companies to improve infrastructure management and IT operations. Numerous apps, devices, and systems are commonly present in complex IT environments seen in large businesses. With AIOps, users can see and manage IT infrastructure performance more effectively since it gives a consolidated perspective of the whole ecosystem.

Among the segments mentioned above, the one that dominated the market was large enterprises, as large businesses are implementing AIOps solutions for several sectors, including media and entertainment.

Vertical Insights:

• Banking, Financial Services, and Insurance (BFSI):

Banking operations comprise a variety of recurring and non-recurring tasks carried out by staff members, clients, and outside organizations. Due to the complexity of these processes, monitoring is crucial. Because of the numerous high-profile data breaches over the last several years, banks and other financial institutions have focused on guaranteeing the security of the data they collect.

• Healthcare and life sciences:

By implementing AIOps, the healthcare sector improves the effectiveness of IT operations and guarantees the functionality and availability of vital systems like medical imaging and electronic health records (EHR).

• Retail and consumer goods:

AIOps plays a key role in managing customer-facing apps, inventory systems, and e-commerce platforms in the retail industry. With the help of AIOps solutions, retailers can assure the availability and performance of online and in-store systems, monitor and improve digital storefronts, and analyze customer behavior.

• IT and Telecom:

AIOps in IT and telecom improve operational efficiency by automating processes, increasing network performance, and identifying possible faults. They help telecom firms maintain uninterrupted connections, minimize downtime, and adjust to the ever-increasing demands of a mobile and digitally-driven world.

• Manufacturing:

AIOps may help maximize production processes, reduce downtime, and boost overall efficiency in manufacturing facilities, which are becoming increasingly automated.

• Government:

Government organizations depend on IT for several essential tasks, and AIOps may improve their IT infrastructure's performance, security, and dependability.

• Media and entertainment:

AIOps is used by the media and entertainment sector to handle digital media processes, streaming platforms, and content delivery networks. Real-time dissemination of content monitoring, predictive analysis of audience interaction, and quick resolution of performance problems are all made possible by AIOps technologies.

• Others:

This category encompasses several industries, including energy, transportation, and education, all of which are increasingly embracing AIOps solutions to enhance their IT operations.

Among the segments mentioned above, the one that dominated the market is banking, financial services, and insurance (BFSI). As. In BFSI, artificial intelligence (AI) has an array of applications, including real-time analytics, solving difficult IT problems, automating banking, and increasing scalability, among other use cases.

AIOps Platform Market Regional Insights

• The North American market is estimated to witness a significantly high revenue share over the forecast period because of the early adoption of artificial intelligence (AI), the high concentration of technology companies, strong financial support for IT investments, emphasis on digital transformation, adoption of the cloud, and data privacy concerns.
• The Asia Pacific market is estimated to witness the largest revenue share because the region's diverse industries are quickly adopting automation. Rapid and massive data creation has also made data analytics and other AI-based products and services possible. 
• Europe's market finds lucrative opportunities because of the substantial R&D expenditures and ongoing digital transformation in developed nations. Further, the German AIOps Platform market held the largest market share, and the U.K. AIOps Platform market was the fastest-growing market in the European region.
• The Latin American market is gradually increasing due to the growing demand, particularly in sectors like banking, telecommunications, and e-commerce. As the region embraces digital transformation, AIOps becomes a key enabler for organizations seeking to modernize their IT infrastructures and stay competitive in the global market.
• The Middle East and Africa market is an emerging market due to the region's increasing investment in technology, infrastructure projects, and digital initiatives. AIOps solutions support organizations in optimizing IT operations, ensuring cybersecurity, and meeting the demands of the region's digitally driven economy.

AIOps Platform Market Report Scope:

Attribute	Details
Market Size 2024	US$ 28.1 billion
Projected Market Size 2034	US$ 211.3 billion
CAGR Growth Rate	24.8%
Base year for estimation	2023
Forecast period	2024 – 2034
Market representation	Revenue in USD Billion & CAGR from 2024 to 2034
Market Segmentation	By Component - Platforms and Service. Organization Size - Small and medium-sized enterprises (SMEs) and Large Enterprises. By Vertical - banking, financial services, and insurance (BFSI), healthcare and life sciences, retail, and consumer goods, It and telecom, manufacturing, government, media and entertainment, and others.
Regional scope	North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and analyzes the latest industry trends and opportunities in each sub-segments from 2024 to 2034. For the purpose of this study, has segmented the AIOps Platform Market report based on Component, Organization Size, Vertical, and region:

AIOps Platform Market, By Component:

• Platforms
• Service

AIOps Platform Market, By Organization Size:

• Small and medium-sized enterprises (SMEs)
• Large Enterprises

AIOps Platform Market, By Vertical:

• banking, financial services, and insurance (BFSI)
• healthcare and life sciences
• retail and consumer goods
• It and telecom
• Manufacturing
• Government
• media and entertainment
• others

AIOps Platform Market, By Region:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • Israel
  • South Africa
  • Rest of Middle East & Africa

The key players operating the AIOps Platform Market include International Business Machines (IBM) Corporation, Splunk Inc., CA Technologies, VMware, Inc., Micro Focus International plc, HCL Technologies Limited, AppDynamics, BMC Software, Inc., Moogsoft Inc., and FixStream Network Inc.

Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.

• In February 2024, Wipro Limited, the industry-leading provider of technology services and consulting, announced the release of its new offering, Wipro Enterprise Artificial Intelligence (AI)-Ready Platform, which enables customers to build fully integrated, bespoke AI environments at the enterprise level. The Wipro Enterprise AI-Ready Platform makes use of the Watsonx AI and data platform from IBM, which includes Watsonx.ai and Watsonx.data, Watson. Governance and Watsonx.assistants to provide clients with an interoperable solution that expedites the adoption of AI. This new service improves operations through various features, including rigorous governance, simplified procedures, large language models (LLMs), and tools. It also establishes the groundwork for future industry analytic solutions based on Watsonx.data and AI.
• In February 2024, BMC, a global leader in software solutions for the Autonomous Digital Enterprise, expanded its Enterprise Service Management and AIOps capabilities. These capabilities use AI and machine learning to improve observability, automate IT operations processes, detect patterns, and predict potential issues before they happen.

• International Business Machines (IBM) Corporation*
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• Splunk Inc.
• CA Technologies
• VMware, Inc.
• Micro Focus International plc
• HCL Technologies Limited
• AppDynamics
• BMC Software, Inc.
• Moogsoft Inc.
• FixStream Network Inc.

“*” marked represents similar segmentation in other categories in the respective section.

Research Objective and Assumption

• Preface
• Research Objectives
• Study Scope
• Years Considered for the study
• Assumptions
• Abbreviations

Research Methodology

• Research data
• Primary Data
  • Primary Interviews
  • Primary Breakdown
  • Key data from Primary Sources
  • Key Thickness Insights
• Secondary Data
  • Major Secondary Sources
  • Secondary Sources
• Market Estimation
• Top-Down Approach
  • Approach for estimating Market Share by Top-Down Analysis (Supply Side)
• Bottom-Up Approach
  • Approach for estimating market share by Bottom-up Analysis (Demand Side)
• Market Breakdown and Data Triangulation
• Research Assumptions

Market Preview

• Executive Summary
• Key Findings—Global Outlook for Legal Location Strategies
  • Key Questions this Study Will Answer
  • Market Snippet, By Components
  • Market Snippet, By Organization Size
  • Market Snippet, By Vertical
  • Market Snippet, By Region
• Opportunity Map Analysis
• Executive Summary—3 Big Predictions

Market Dynamics, Regulations, and Trends Analysis

• Market Dynamics
  • Drivers
  • Restrains
  • Market Opportunities
  • Market Trends
• DR Impact Analysis
• PEST Analysis
• Porter’s Five Forces Analysis
• Opportunity Orbit
• Market Investment Feasibility Index
• Macroeconomic Factor Analysis

Market Segmentation, By Components, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Platform
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Services
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Organization Size, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Small and medium-sized enterprises (SMEs)
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Large Enterprises
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Vertical, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Banking, Financial Services, and Insurance (BFSI)
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Healthcare and Life Sciences
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Retail and Consumer Goods
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• IT and Telecom
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Manufacturing
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Government
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Media & Entertainment
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Others
  • Overview
  • Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Global Market, By Region, Forecast Period up to 10 Years, (US$ Bn)

• Overview
  • Market Value and Forecast (US$ Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Regional Trends
• North America
  • Market Size and Forecast (US$ Bn), By Components, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Organization Size, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Vertical, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • U.S.
    • Canada
• Europe
  • Market Size and Forecast (US$ Bn), By Components, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Organization Size, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Vertical, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • UK
    • France
    • Germany
    • Russia
    • Italy
    • Rest of Europe
• Asia Pacific
  • Market Size and Forecast (US$ Bn), By Components, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Organization Size, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Vertical, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • India
    • Japan
    • South Korea
    • China
    • Rest of Asia Pacific
• Latin America
  • Market Size and Forecast (US$ Bn), By Components, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Organization Size, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Vertical, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • Brazil
    • Mexico
    • Rest of Latin America

• Middle East & Africa
  • Market Size and Forecast (US$ Bn), By Components, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Organization Size, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Vertical, Forecast Period up to 10 Years
  • Market Size and Forecast (US$ Bn), By Country, Forecast Period up to 10 Years
    • GCC
    • Israel
    • South Africa
    • Rest of Middle East

Competitive Landscape

• Heat Map Analysis
• Market Presence and Specificity Analysis

Company Profiles

• International Business Machines (IBM) Corporation
• Splunk Inc.
• CA Technologies
• VMware, Inc.
• Micro Focus International plc
• HCL Technologies Limited
• AppDynamics
• BMC Software, Inc.
• Moogsoft Inc.
• FixStream Network Inc.

The Last Word

• Future Impact
• About Us
• Contact