市場調查報告書
商品編碼
1423221
2024-2032 年按產品類型(軟體、服務、硬體)、最終用途部門(銀行部門、零售部門、醫療保健部門等)和地區分類的認知系統市場報告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年全球認知系統市場規模達到469億美元。展望未來, IMARC Group預計到2032年市場規模將達到5,120億美元,2024-2032年複合年成長率(CAGR)為29.5%。
認知系統是一種結合自然語言處理和機器學習 (ML) 的自學習技術,可簡化人與機器之間的互動。他們處理大量資料來回應查詢並根據個人的要求提出智慧建議。它們透過分析、學習和評估人類思考過程並改進決策來模仿人類大腦的工作方式。此外,他們還分析開發模式、識別業務可能性並即時管理與流程相關的關鍵問題。由於認知系統透過提供有用的、相關的和上下文的資訊來改善消費者關係,因此在全球的製造、醫療保健、銀行、金融服務和保險領域得到了廣泛的應用。
目前,銀行和金融機構擴大利用認知系統來加快營運速度並滿足客戶不斷成長的需求。這加上對預測分析以提高生產過程的成本效益的需求不斷成長,是推動市場的關鍵因素之一。此外,各行業對認知系統管理大量非結構化資料的需求不斷增加。再加上認知系統中物聯網 (IoT) 的日益普及,正在推動市場的成長。除此之外,醫療保健行業擴大使用認知系統進行資料同化和先進的資料分析技術來了解疾病的不同模式並發現新的治療藥物,這對市場產生了積極影響。此外,研究人員正在依靠認知解決方案的潛力來加強臨床試驗並釋放醫療保健產業的新機會。
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.