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IT 营运平台人工智慧的全球市场规模、份额和成长分析(按产品和应用划分)—2024-2031 年产业预测Global Artificial Intelligence for IT Operations Platform Market Size, Share, Growth Analysis, By Offering(Platform, Service), By Application(Infrastructure Management, Application Performance Analysis) - Industry Forecast 2024-2031 |
IT维运平台人工智慧的全球市场规模从2023年的98.4亿美元增至2022年的83.6亿美元,预测期内(2024-2031年)复合年增长率为17.70%,预计将增长至2022年的83.6亿美元。到 2031 年将达到 362.4 亿。
IT营运平台人工智慧市场的未来成长预计将受到人工智慧技术进步和IT基础设施日益复杂性的推动。各行业越来越重视提高 IT 营运的效率和生产力,进一步推动了这一成长。在机器学习和人工智慧的支援下,这些创新平台可以有效地分析大量资料并提供及时且有意义的见解。透过检测问题、识别模式并在问题发生之前进行预防,帮助提高生产效率并减少停机时间。此外,复杂 IT 系统的资料量不断增加、快速故障排除的需求以及对IT安全日益关注等因素进一步推动了市场的成长。由于云端处理数位化趋势, IT基础设施的重要性日益增加,预计将推动对人工智慧主导的IT营运平台的需求。随着这些平台对于管理IT基础设施变得越来越重要,整合预测分析已成为企业需要考虑的重要长期趋势。
Global Artificial Intelligence For IT Operations Platform Market size was valued at USD 8.36 Billion in 2022 and is poised to grow from USD 9.84 Billion in 2023 to USD 36.24 Billion by 2031, at a CAGR of 17.70% during the forecast period (2024-2031).
The future growth of the artificial intelligence for IT operations platform market is anticipated to be propelled by advancements in AI technology and the increasing complexity of IT infrastructure. This growth is further driven by a rising emphasis on enhancing IT operations' efficiency and productivity across various industry verticals. These innovative platforms, leveraging machine learning and AI, can efficiently analyze vast amounts of data, providing timely and meaningful insights. By detecting issues, recognizing patterns, and potentially preventing problems before they arise, they contribute to enhanced productivity and reduced downtime. Additionally, factors such as the expanding data volume from complex IT systems, the need for swift troubleshooting, and heightened concerns about IT security are further stimulating market growth. The growing significance of IT infrastructure due to cloud computing and digitization trends is expected to fuel demand for AI-driven IT operations platforms. As these platforms become increasingly indispensable for managing IT infrastructure, integrating predictive analytics emerges as a crucial long-term trend for companies to consider.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence For IT Operations Platform Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence For IT Operations Platform Market Segmental Analysis
The Global Artificial Intelligence for IT Operations Platform Market is segmented on the basis of Offering, Application, Deployment Mode, Organization Size, Vertical, and Regional. Based on Offering, the market is bifurcated into Platforms and Services. In terms of Application, the market is segmented into Infrastructure Management, Application Performance Analysis, Real-Time Analytics, Network & Security Management, and Others. On the basis of Deployment Mode, the market is divided into, Cloud and On-premise. Based on Organization Size, the market is segmented into SMEs and Large Enterprises. In terms of Vertical, the market is bifurcated into BFSI, Healthcare & Life Sciences, Retail & E-commerce, IT & Telecom, Energy & Utilities, Government & Public Sector, Media & Entertainment, and Others. On a regional level, the market is divided into North America, Europe, Asia-Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Artificial Intelligence For IT Operations Platform Market
The growing interconnectivity of networks and systems within various organizations is leading to an escalation in the complexity of IT infrastructure. This trend is fueling a heightened need for AI-driven IT operations solutions, which are essential for effectively managing, monitoring, and securing IT platforms.
Restraints in the Global Artificial Intelligence For IT Operations Platform Market
Integrating an AIOps platform with various IT systems or infrastructures poses a significant challenge, demanding extensive time and effort for proper execution. This complexity not only escalates deployment expenses but also hampers market expansion due to prolonged implementation periods.
Market Trends of the Global Artificial Intelligence For IT Operations Platform Market
Artificial intelligence operations platforms are honing in on harnessing the capabilities of machine learning and predictive analytics to enhance enterprise operations. By incorporating these cutting-edge technologies, these platforms aim to elevate IT performance and mitigate downtime, ultimately driving efficiency and reliability within organizations.