市场调查报告书
商品编码
1423221
2024-2032 年按产品类型(软体、服务、硬体)、最终用途部门(银行部门、零售部门、医疗保健部门等)和地区分類的认知系统市场报告Cognitive Systems Market Report by Product Type (Software, Services, Hardware), End-Use Sector (Banking Sector, Retail Sector, Healthcare Sector, and Others), and Region 2024-2032 |
2023年全球认知系统市场规模达到469亿美元。展望未来, IMARC Group预计到2032年市场规模将达到5,120亿美元,2024-2032年复合年增长率(CAGR)为29.5%。
认知系统是一种结合自然语言处理和机器学习 (ML) 的自学习技术,可简化人与机器之间的互动。他们处理大量资料来回应查询并根据个人的要求提出智慧建议。它们透过分析、学习和评估人类思考过程并改进决策来模仿人类大脑的工作方式。此外,他们还分析开发模式、识别业务可能性并即时管理与流程相关的关键问题。由于认知系统透过提供有用的、相关的和上下文的资讯来改善消费者关係,因此在全球的製造、医疗保健、银行、金融服务和保险领域得到了广泛的应用。
目前,银行和金融机构越来越多地利用认知系统来加快营运速度并满足客户不断增长的需求。这加上对预测分析以提高生产过程的成本效益的需求不断增长,是推动市场的关键因素之一。此外,各行业对认知系统管理大量非结构化资料的需求不断增加。再加上认知系统中物联网 (IoT) 的日益普及,正在推动市场的成长。除此之外,医疗保健行业越来越多地使用认知系统进行资料同化和先进的资料分析技术来了解疾病的不同模式并发现新的治疗药物,这对市场产生了积极影响。此外,研究人员正在依靠认知解决方案的潜力来加强临床试验并释放医疗保健产业的新机会。
The global cognitive systems market size reached US$ 46.9 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 512.0 Billion by 2032, exhibiting a growth rate (CAGR) of 29.5% during 2024-2032.
Cognitive systems are self-learning technologies combining natural language processing and machine learning (ML) to ease the interaction between humans and machines. They process a considerable amount of data to respond to queries and make intelligent recommendations according to the requirements of an individual. They mimic the way a human brain works by analyzing, learning, and assessing human thought processes and improving decision making. In addition, they analyze developing patterns, identify business possibilities, and manage crucial process-related issues in real-time. As they improve consumer relationships by giving useful, relevant, and contextual information, cognitive systems find extensive applications in the manufacturing, healthcare, and banking, financial services and insurance sectors across the globe.
At present, there is a rise in the utilization of cognitive systems in banking and financial institutes for speeding operations and meeting the escalating demand of customers. This, along with the growing need for predictive analytics to improve the cost-effectiveness of the production process, represents one of the key factors driving the market. Moreover, there is an increase in the demand for cognitive systems to manage large unstructured data in various industries. This, coupled with the rising adoption of the internet of things (IoT) in cognitive systems, is propelling the growth of the market. Besides this, the growing employment of cognitive systems in the healthcare industry for data assimilation and advanced data analytics technologies to understand different patterns of the disease and discover a new drug for treatment is positively influencing the market. In addition, researchers are relying on the potential of cognitive solutions to enhance clinical trials and unlock new opportunities in the healthcare industry.
IMARC Group provides an analysis of the key trends in each sub-segment of the global cognitive systems market report, along with forecasts at the global and regional level from 2024-2032. Our report has categorized the market based on product type and end-use sector.
Software
Services
Hardware
Software currently holds the dominant market share, due to the increasing need for efficient business processes and enhanced customer communication.
Banking Sector
Retail Sector
Healthcare Sector
Others
Cognitive systems are widely utilized in the banking sector to minimize potential risks and assist customers and employees via human interfaces.
North America
Europe
Asia Pacific
Latin America
Middle East and Africa
North America holds the largest market share due to the growing commercialization of predictive analytics, along with the favorable government initiatives implemented in various countries to promote the utilization of cognitive systems.
The competitive landscape of the market has been analyzed in the report, along with the detailed profiles of the major players operating in the industry. Some of these players are International Business Machines (IBM) Corporation, Infosys Limited, HP Inc., Microsoft Corporation, and SAP SE.