Global AIOps Platform Market Size By Vertical (BFSI, Telecom and IT), By Application (Real-Time Analytics, Network Performance Management (NPM)), By Services (Implementation Service, License and Maintenance Service, Training, Education Service, Consulting Service, Managed Service), By Type (On-premise and Cloud), By Geographic Scope And Forecast

AIOps Platform Market Size And Forecast

AIOps Platform Market size is valued at USD 8391.56 Million in 2024 and is anticipated to reach USD 46209.8 Million by 2031, growing at a CAGR of 26.22% from 2024 to 2031.

• DevOps professionals often face a lot of IT noise, warnings and signals from various technologies, which makes it challenging to manage events efficiently and quickly while also improving IT infrastructure performance.
• To address this issue, many companies are turning to AI-based solutions that can provide valuable insights and help streamline IT operations. As the number of employees working from home continues to grow, the AIOps industry is expected to expand further.
• According to the World Economic Forum, the number of US employees working from home increased from 1.58 days per week in January 2021 to 2.37 days per week last year.
• The popularity of AIOps is also on the rise as networks become more complex, devices become smarter, and data storage requirements increase. Additionally, cloud computing is driving the automation of many operations, making AIOps platforms more essential for businesses that use cloud services.
• The ITOM industry is also responding to the introduction of SaaS ITOM, which has proven to be highly beneficial for IT helpdesks and infrastructure monitoring. These solutions typically include log management, website monitoring, server monitoring, and cloud management acquired from SaaS vendors.
• Despite the many benefits, the lack of awareness about these solutions remains a significant concern that could restrain market growth during the forecast period.

Global AIOps Platform Market Dynamics

The key market dynamics that are shaping the global AIOps platform market include

Key Market Drivers

• Increasing Complexity of IT EnvironmentsIT operations teams face difficulties in managing and monitoring performance, availability, and security due to the growing complexity of IT infrastructure, which includes distributed systems, hybrid and multi-cloud environments, and a variety of application stacks. Advanced analytics and automation features are provided by AIOps platforms to assist enterprises in navigating this complexity and streamlining IT operations.

• Demand for Proactive and Predictive IT OperationsTo reduce downtime, boost efficiency, and enhance user experience, organizations are moving away from reactive to proactive and predictive IT operations. AIOps platforms use artificial intelligence (AI) and machine learning (ML) algorithms to analyze massive amounts of data from multiple sources, find patterns, spot anomalies, and forecast possible problems before they affect business operations.

• Need for Faster Incident ResolutionRapid incident resolution is necessary since service interruptions and outages can seriously harm an organization’s finances and reputation. AIOps platforms correlate data from various monitoring tools, automate remediation workflows, and give IT operations team’s actionable insights to facilitate faster incident detection, root cause analysis, and resolution.

• Embracing DevOps and Agile PracticesWhile implementing these approaches speeds up software delivery cycles, managing and monitoring dynamic and transient infrastructure becomes more difficult.

• Growth of Digital Transformation InitiativesModern IT operations solutions that can support nimble, scalable, and resilient digital infrastructures are becoming more and more necessary as a result of digital transformation initiatives like cloud migration, IoT adoption, and microservices architecture adoption.

Key Challenges

• Data Integration and QualityAIOps platforms rely on massive volumes of data from multiple sources, such as applications, logs, metrics, events, and IT infrastructure. The accuracy and efficacy of AIOps insights and recommendations are, however, impacted by the significant challenges associated with integrating disparate data sources and guaranteeing data quality and consistency.

• Scalability and ComplexityWith distributed systems, microservices, containers, hybrid and multi-cloud architectures, and distributed systems, IT environments are getting more and more complicated. In order to maintain performance and reliability while monitoring, analyzing, and managing a variety of IT environments, AIOps platforms must be able to handle this complexity and scale with ease.

• Model Interpretability and ExplainabilityAI and machine learning algorithms are used by AIOps platforms to analyze data and extract insights, but these models’ lack of transparency and interpretability makes it difficult for IT teams to comprehend and rely on the platform’s recommendations.

• Alert Fatigue and Noise ReductionThe reduction of alert fatigue and noise is the goal of AIOps platforms, which correlate and prioritize alerts. However, there is still difficulty in accurately differentiating between noise and actionable incidents. AIOps platforms may overwhelm IT teams with a high volume of alerts if they are not properly tuned and customized, which could cause alert fatigue and desensitization.

• Adoption and Skill Gap ChallengesOrganizations trying to successfully deploy AIOps platforms face difficulties due to a lack of qualified AI and data science specialists. Moreover, organizational silos, cultural resistance, and outdated procedures could prevent IT teams from implementing AIOps techniques and technologies.

• Security and Privacy IssuesPerformance metrics, logs, and configuration information are just a few examples of the sensitive data that AIOps platforms manage. For providers and users of AIOps platforms, ensuring the security and privacy of this data poses challenges, particularly in light of growing regulatory requirements like GDPR and CCPA.

• Vendor Lock-in and IntegrationWhen implementing AIOps platforms, organizations may run into issues with vendor lock-in, especially if they rely significantly on proprietary data formats, algorithms, or integration frameworks. To optimize the return on investment from AIOps investments, interoperability and smooth integration with current IT tools and systems are essential.

Key Opportunities

• Enhanced IT OperationsBy utilizing artificial intelligence (AI) and machine learning (ML) algorithms to automate repetitive tasks, identify abnormalities, and provide actionable insights, AIOps platforms provide the chance to improve IT operations by increasing efficiency and decreasing downtime.
• Proactive Issue ResolutionBefore they influence business operations, organizations can proactively detect and address IT issues thanks to AIOps platforms. Through extensive data analysis from various sources, such as logs, metrics, and events, AIOps platforms can anticipate and avert possible problems, resulting in enhanced system performance and dependability.
• Real-time Monitoring and AnalysisBy offering real-time monitoring and analysis functionalities, AIOps platforms enable enterprises to obtain a thorough understanding of their IT environments. Rapid decision-making and response to critical incidents are made possible by AIOps platforms’ ability to aggregate and correlate data from various sources to identify patterns, trends, and anomalies.
• Automation of Routine TasksBy automating tasks like incident triage, root cause analysis, and remediation, AIOps platforms free up IT staff time to concentrate on innovative and strategic projects. AIOps platforms can decrease human error, speed up time to resolution, and improve operational efficiency by automating manual processes.
• Integration with DevOps PracticesOrganizations can streamline software development and deployment processes by utilizing AIOps platforms, which seamlessly integrate with DevOps practices. DevOps teams can optimize code releases, improve application quality, and boost customer satisfaction by utilizing AIOps platforms, which offer insights into application performance, infrastructure health, and user experience.
• Multi-cloud and Hybrid Cloud ManagementAIOps platforms facilitate multi-cloud and hybrid environments by offering visibility and control over a range of infrastructure stacks. Through the consolidation of on-premises and cloud resource monitoring, management, and optimization, AIOps platforms help enterprises maximize resource use, cut expenses, and guarantee service level agreement (SLA) compliance.

Global AIOps Platform Market Regional Analysis

Here is a more detailed regional analysis of the global AIOps platform market

Asia Pacific

• Asia is seeing a sharp increase in the digitalization of many industries, including manufacturing, healthcare, finance, and telecommunications. Large volumes of data are being generated by this transition from a variety of sources, opening up new opportunities for AIOps platforms to support digital initiatives with insights, automation, and optimization.
• Asia is experiencing an increase in IT complexity due to the growth of digital infrastructure and the adoption of cloud, IoT, and edge computing technologies. By offering visibility, automation, and intelligence to monitor, analyze, and optimize IT operations across hybrid and multi-cloud environments, AIOps platforms can assist enterprises in managing this complexity.
• In order to stay competitive in the digital age, Asian organizations are working to increase service reliability, lower operating costs, and improve IT efficiency. AIOps platforms provide chances to automate repetitive tasks, improve productivity, and proactively identify and fix problems, all of which contribute to cost savings and simplified IT operations.

North America

• With a thriving ecosystem of AI and machine learning research, development, and application, North America is a center for technological innovation. North America is home to several of the top Transplant Diagnostics providers, who take advantage of the regions highly developed technological infrastructure and skilled workforce to create innovative solutions.
• AIOps platforms have been early adopters by North American enterprises, including those in the finance, healthcare, technology, and retail sectors, to improve IT operations, boost efficiency, and support digital transformation initiatives. Due to the size and diversity of the market in the area, Transplant Diagnostics providers have many chances to establish their credibility and win over businesses of all kinds.
• Some of the biggest cloud computing companies in the world, including Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), are based in North America.
• In order to support AIOps platforms, these cloud providers provide strong infrastructure and platform services that facilitate easy integration, scalability, and performance optimization for IT operations.

AIOps Platform MarketSegmentation Analysis

The AIOps Platform Market is segmented on the basis of Vertical, Application, Service Type, and Geography.

AIOps Platform Market, By Vertical

• Banking, Financial Services, and Insurance (BFSI)
• Telecom and IT
• Healthcare and Life Sciences
• Retail
• Consumer Goods
• Others

Based on Vertical, the market is segmented into Banking, Financial Services, and Insurance (BFSI), Telecom and IT, Healthcare and Life Sciences, Retail, Consumer Goods, and Others. The BFSI segment accounted for the largest market share and is projected to grow at a CAGR of 19.96% during the forecast period. This dominance is primarily due to the need for improving IT infrastructure performance.

AIOps Platform Market, By Application

• Real-Time Analytics
• Network Performance Management (NPM)
• Application Performance Management (APM)
• Infrastructure Management

Based on Application, the market is segmented into Real-Time Analytics, Network Performance Management (NPM), Application Performance Management (APM), Infrastructure Management, and Others. The Real-Time Analytics segment is accounted for the largest market share and is projected to grow at the highest CAGR of 19.4% during the forecast period. The real-time analytics segment is dominating the market in the forecasted years. The AIOps platforms analyse large volumes of data from disparate sources in real time by applying various algorithms to the data to provide real-time pattern discovery. This platform facilitates real-time issue analysis, diagnosis, and actionable insights. Using a data-driven approach, organizations can use real-time analytics to detect, prioritize, diagnose, and resolve incidents. It contributes to a shorter mean time to detect and repair.

AIOps Platform Market, Service

• Implementation Service
• License and Maintenance Service
• Training, Education Service
• Consulting Service
• Managed Service

Based on services, includes implementation service, license and maintenance service, training and education service, consulting service, and managed service. Implementation service segment is expected to dominate the global market during the forecast period. Its corporate advantages, including improved decision-making, quicker digital transformation, effective data processing, and integrated agility, should be credited for this significant market share.

AIOps Platform Market, Type

• On-premise
• Cloud

Based on Type, the market is segmented into On-premise and Cloud. The on premise segment is accounted for the largest market share and is projected to grow at the highest CAGR of 24.45% during the forecast period. On-premises software is installed on the devices located in the organization or on-premises. Most companies adopt on-premises software to hold data within their in-house servers and IT infrastructure. Also, the data is secure and safe with superior power and influence. The enterprises need to buy a complete license package to use the software across their infrastructure. The adoption of an on premise Transplant Diagnostics offers total ownership of the software to the enterprise as it pays once for the licenses.

AIOps Platform Market, By Geography

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

Based on Geography, The Global AIOps Platform Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. The North American region is expected to hold major share in the global market followed by Europe and is expected to continue the trend in the forecast period. The Asia Pacific region is expected to grow at a rapid pace in the forecast period owing to rapid urbanization and industrialization with an increased investment towards smart & efficient technology and increased per capita income.

Key Players

The “Global AIOps Platform Market” study report will provide valuable insight with an emphasis on the global market. The major players in the market are AppDynamics, BMC Software, Inc., Broadcom, HCL Technologies Limited, International Business Machines Corporatio, Micro Focus, Moogsoft, Prophet Stor Data Services, Inc., Resolve Systems and Splunk Inc.

Our market analysis also entails a section solely dedicated for such major players wherein our analysts provide an insight to the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share and market ranking analysis of the above-mentioned players globally.

AIOps Platform Market Recent Developments

• In November 2022, Aprecomm, a provider of network intelligence, unveiled their AIOps solution for Edgecore ecCloud controllers, the Aprecomm Virtual Wireless Expert. According to a release, all users of Edgecore Wi-Fi 6 access points can increase network performance due to the Edgecore Wi-Fi AIOps solution that the two firms jointly introduced.
• In June 2022, The HCL Technologies DRYiCE introduced DRYiCE IntelliOps (IntelliOps), a solution that addresses an enterprise’s full-stack AIOps and workflow observability demands. Businesses have made significant investments in sophisticated digital efforts to modernize their IT environment and strive to meet consumer expectations for constantly available digital services. However, a few obstacles still need to be overcome.

Report Scope

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• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors• Provision of market value (USD Billion) data for each segment and sub-segment• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market• Analysis by geography highlighting the consumption of the product/