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Artificial Intelligence For IT Operations Platform Market Report 2024: Size, Share, Growth Rate, Industry Trends
Artificial Intelligence For IT Operations Platform Market
The Business Research Company presents an extensive market research report on the Artificial Intelligence For IT Operations Platform Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.
Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.
Market Sizing:
The artificial intelligence for IT operations platform market size has grown exponentially in recent years. It will grow from $12.02 billion in 2023 to $14.81 billion in 2024 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to increasing complexity of IT infrastructure, growing data volumes, demand for real-time insights, and need for cost efficiency.
The artificial intelligence for IT operations platform market size is expected to see exponential growth in the next few years. It will grow to $33.17 billion in 2028 at a compound annual growth rate (CAGR) of 22.3%. The growth in the forecast period can be attributed to adoption of machine learning algorithms, integration with DevOps practices, emphasis on predictive analytics, rise of autonomous IT operations, and expansion of edge computing. Major trends in the forecast period include hybrid and multi-cloud management, focus on AIOps for cybersecurity, integration of AI with IT service management (ITSM), shift towards event correlation and root cause analysis, and emergence of explainable AI for transparency and compliance.
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Key Market Players:
Major companies operating in the artificial intelligence for it operations platform market report are Amazon.com Inc., Apple Inc., Google (Alphabet Inc.), Microsoft Corporation, IBM Corporation, Broadcom Inc., VMware Inc., HCL Technologies Limited, ServiceNow Inc., Splunk Inc., BMC Software Inc., Micro Focus International plc, SS&C Blue Prism, Dynatrace Inc., Sumo Logic Inc., C3.ai Inc., DataRobot Inc., AppDynamics, Lily AI, Resolve Systems LLC, Big Panda Inc, FixStream Network Inc., ProphetStor Data Services Inc., OpenAI LP, Clarifai Inc., Sherpa.ai, Moogsoft Inc., H2O.ai, Nauto Inc
Market Drivers:
The rapid adoption of cloud-based infrastructure in the IT sector is expected to propel the growth of the artificial intelligence for IT operations platform market going forward. Cloud-based infrastructure refers to computing resources, such as servers and storage, delivered and managed over the internet through cloud services. Cloud-based platforms enhance artificial intelligence for IT operations (AIOps) by providing scalable infrastructure, facilitating seamless data storage, and enabling real-time analytics to optimize and automate IT operations. For instance, in December 2023, according to the European Commission (EC), a Belgium-based executive body of the European Union (EU), the adoption of cloud-based solutions in 2023 in the European Union increased by 4.2%, with 45.2% of enterprises purchasing cloud computing services, 79% in the information and communication sector, and 77.6% in large enterprises showcasing a notable rise compared to 2021. Therefore, the rapid adoption of cloud-based infrastructure in the IT sector is driving the growth of the artificial intelligence for IT operations platform market.
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https://www.thebusinessresearchcompany.com/report/artificial-intelligence-for-it-operations-platform-global-market-report
The artificial intelligence for it operations platform market covered in this report is segmented -
1) By Type: Software, Service
2) By Technology: Natural Language Processing (NLP), Computer Vision, Machine Learning (ML), Context-Aware Computing
3) By Deployment Model: Cloud, On-Premises
4) By Organization Size: Small And Medium Enterprises (SMEs), Large Enterprises
5) By Application: IT Infrastructure, Application Performance Monitoring (APM), Real-Time Analytics, Network Security
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