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市场调查报告书
商品编码
1400554
认知分析市场规模- 按组件(工具、服务[託管、专业])、部署(本地、云端)、企业规模(中小企业、大型企业)、应用程式、最终用户、成长前景、区域展望和预测, 2023 年- 2032Cognitive Analytics Market Size - By Component (Tools, Services [Managed, Professional]), Deployment (On-premise, Cloud), Enterprise Size (SMEs, Large Enterprise), Application, End User, Growth Prospects, Regional Outlook & Forecast, 2023 - 2032 |
在全球数位转型措施激增的推动下,认知分析市场规模预计从 2023 年到 2032 年将以 34% 的CAGR成长。最近,多个行业的组织正在拥抱全面的数位转型,利用认知分析从大量资料集中获取可行的见解。随着企业流程日益数位化,高阶分析解决方案的需求不断增长。
此外,人工智慧技术的不断发展,包括机器学习和自然语言处理,以增强认知分析的能力,将促进市场成长。例如,2023 年 11 月,BCW 与 Limbik 合作创建了 Decipher Index,这是一个部署认知人工智慧的新平台,用于识别最有可能产生未来影响的最重要主题。
认知分析产业分为组件、部署、企业规模、应用程式、最终用户和区域。
从组成部分来看,服务领域的市场份额预计将在 2023 年至 2032 年期间大幅增长。认知分析服务涵盖一系列产品,包括咨询、实施和支援服务,以促进无缝整合到不同的业务环境中。对增强决策、客户参与和跨企业营运效率的服务的需求不断增长,也将推动该细分市场的成长。
对于最终用户而言,IT 和电信领域的认知分析市场预计将在 2023 年至 2032 年间出现高需求。IT 和电信领域的公司正在利用认知分析进行即时资料分析、预测性维护和增强型客户体验。此外,IT和电信营运数位转型投资的增加将有利于该细分市场的扩张。
从地区来看,预计到 2032 年,亚太地区认知分析市场将出现强劲成长。数位转型措施的激增正在推动中国、印度和日本各产业采用认知分析解决方案。不断扩大的 IT 基础设施,加上该地区对高阶分析优势的认识不断增强,正在推动各行业对认知分析解决方案和服务的接受度不断提高。此外,一些行业参与者正在开发创新解决方案来满足该地区的需求,从而促进市场成长。举个例子,2023 年3 月,塔塔咨询服务公司推出了TCS 认知工厂营运顾问,这是一款适用于Microsoft Azure 私有行动边缘运算平台的5G 解决方案,可协助多个产业的企业利用人工智慧和机器学习来转变其生产流程他们更加聪明、敏捷和有弹性。
Cognitive Analytics Market size is anticipated to grow at 34% CAGR from 2023-2032 driven by the global surge in digital transformation initiatives. Of late, organizations across several industries are embracing comprehensive digital transformations for leveraging cognitive analytics to derive actionable insights from vast datasets. With businesses increasingly digitizing their processes, the demand for advanced analytics solutions is rising.
Furthermore, continuous developments in AI technologies, including machine learning and natural language processing to enhance the capabilities of cognitive analytics will foster the market growth. For instance, in November 2023, BCW collaborated with Limbik to create the Decipher Index, a new platform that deploys cognitive AI to identify the topmost themes with the most potential for future impact.
The cognitive analytics industry is segmented into component, deployment, enterprise size, application, end-user, and region.
Based on component, the market share from the services segment is anticipated to record substantial growth from 2023-2032. Cognitive analytics services encompass a spectrum of offerings, including consulting, implementation, and support services for facilitating seamless integration into diverse business environments. The surging need for services that enhance decision-making, customer engagement, and operational efficiency across businesses will also boost the segment growth.
As per end user, the cognitive analytics market from the IT and telecom segment is set to witness high demand between 2023 and 2032. Companies operating in the IT and telecommunications sector are leveraging cognitive analytics for real-time data analysis, predictive maintenance, and enhanced customer experiences. Furthermore, the rising investments in the digital transformation of IT and telecom operations will favor the segment expansion.
Regionally, the Asia Pacific cognitive analytics market is foreseen to experience robust growth through 2032. This surge in digital transformation initiatives is propelling the adoption of cognitive analytics solutions across diverse industries in China, India, and Japan. The expanding IT infrastructure coupled with the growing awareness of the benefits of advanced analytics in the region are contributing to the increasing acceptance of cognitive analytics solutions and services across industries. Moreover, several industry participants are developing innovative solutions to address needs in the region, adding to the market growth. To cite an instance, in March 2023, Tata Consultancy Services introduced TCS Cognitive Plant Operations Adviser, a 5G-enabled solution for Microsoft Azure Private Mobile Edge Computing platform to assist businesses across several sectors to transform their production processes by utilizing AI and ML to make them more intelligent, agile, and resilient.