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1534274

全球醫療保健認知計算市場研究報告 - 2024 年至 2032 年行業分析、規模、佔有率、成長、趨勢和預測

Global Healthcare Cognitive Computing Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

出版日期: 2024年07月01日 | 出版商:

Value Market Research | 英文 126 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

全球醫療保健認知運算市場需求預計將從 2023 年的 70.8 億美元達到近 648 億美元的市場規模，2024-2032 年研究期間複合年成長率為 27.88%。

醫療保健認知計算應用人工智慧（AI）和機器學習技術來處理和分析大量醫療保健資料。這些系統模仿人類認知功能，例如理解、推理和學習，以提供改善臨床決策和患者護理的見解。醫療保健領域的認知計算系統利用自然語言處理、預測分析和資料探勘來解釋複雜的醫療資料、識別模式並產生可行的建議。它們提高了診斷準確性、個人化治療計劃並簡化了管理流程。透過整合電子健康記錄 (EHR)、醫學影像和患者資料，認知計算旨在最佳化結果、減少錯誤並支持醫療保健專業人員提供高效、基於證據的護理。

市場動態

由於電子健康記錄 (EHR)、醫學影像和穿戴式健康設備的日益普及，醫療保健資料激增，醫療保健認知運算市場有望實現顯著成長。認知運算系統可以分析這些大量資料，揭示傳統方法可能遺漏的見解和模式。這種能力對於提高診斷準確性、個人化治療計劃和改善患者治療效果至關重要。人工智慧 (AI) 和機器學習的進步也推動了醫療保健認知運算市場的成長。自然語言處理和深度學習演算法等尖端技術使認知系統能夠解釋非結構化資料，例如醫生筆記和醫學文獻，從而做出更明智的臨床決策。此外，人們對精準醫療的日益關注，旨在根據患者個體情況量身定做治療方案，這就產生了對認知計算解決方案來整合和分析不同資料源的需求。此外，對基於價值的護理模式的推動鼓勵採用認知計算來提高效率並降低成本。這些系統有助於更好的資源管理、最佳化工作流程並支持主動護理策略，與基於價值的護理目標保持一致。遠距醫療和遠距患者監護的擴展也為認知計算提供了機會。這些技術可以增強虛擬諮詢、分析遠端患者資料並支援醫療保健提供者遠端提供有效的護理。隨著醫療保健組織擴大投資於數位轉型，認知運算預計將在醫療保健服務的發展中發揮不可或缺的作用。然而，資料隱私問題和高昂的實施成本可能會限制醫療保健認知運算市場的成長。

研究報告涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰地了解行業結構並評估全球範圍內的競爭吸引力。此外，這些工具還對全球醫療保健認知運算市場的每個細分市場進行了包容性評估。醫療保健認知計算行業的成長和趨勢為本研究提供了整體方法。

市場區隔

醫療保健認知計算市場報告的這一部分提供了國家和地區層面細分市場的詳細資料，從而幫助戰略家確定相應產品或服務的目標人群以及即將到來的機會。

依技術

自然語言處理
機器學習
自動推理
其他技術

按最終用途

醫院
藥品
醫療器材
保險
其他

區域分析

本節涵蓋區域前景，重點介紹北美、歐洲、亞太地區、拉丁美洲以及中東和非洲醫療保健認知運算市場當前和未來的需求。此外，該報告重點關注所有主要地區各個應用領域的需求、估計和預測。

該研究報告還涵蓋了市場主要參與者的全面概況以及對全球競爭格局的深入了解。醫療保健認知運算市場的主要參與者包括Google、IBM、蘋果、PTC、Palantir、微軟。本節包含競爭格局的整體視圖，包括各種策略發展，例如關鍵併購、未來產能、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請寫信給我們。我們的研究團隊可以根據您的需求提供客製化報告。

區域展望
介紹
北美銷售分析
- 概覽、歷史與預測資料銷售分析
- 北美按細分市場銷售分析
- 北美按國家銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 歐洲按細分市場銷售分析
- 歐洲按國家銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概覽、歷史與預測資料銷售分析
- 亞太地區按細分市場銷售分析
- 亞太地區按國家銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 東南亞銷售分析
- 亞太地區其他地區銷售分析
拉丁美洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 拉丁美洲按細分市場銷售分析
- 拉丁美洲按國家銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概覽、歷史與預測資料銷售分析
- 中東和非洲按細分市場銷售分析
- 中東和非洲按國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東其他地區和非洲銷售分析

第 8 章：醫療保健認知運算公司的競爭格局

醫療保健認知運算市場競爭
夥伴關係/協作/協議
併購
新產品發布
其他發展

第 9 章：公司簡介

頂級公司市佔率分析
市場集中度
Google

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Apple

公司概況
公司收入
產品
最新動態

公司概況
公司收入
產品
最新動態

Palantir

公司概況
公司收入
產品
最新動態

Microsoft

公司概況
公司收入
產品
最新動態

註 - 在公司概況中，財務詳細資訊和最新發展視情況而定，或對私人公司而言可能不包括在內

簡介目錄圖表

Product Code: VMR112115346

The global demand for Healthcare Cognitive Computing Market is presumed to reach the market size of nearly USD 64.8 Billion by 2032 from USD 7.08 Billion in 2023 with a CAGR of 27.88% under the study period 2024-2032.

Healthcare cognitive computing applies artificial intelligence (AI) and machine learning technologies to process and analyze vast healthcare data. These systems mimic human cognitive functions, such as understanding, reasoning, and learning, to provide insights that improve clinical decision-making and patient care. Cognitive computing systems in healthcare leverage natural language processing, predictive analytics, and data mining to interpret complex medical data, identify patterns, and generate actionable recommendations. They enhance diagnostic accuracy, personalize treatment plans, and streamline administrative processes. By integrating electronic health records (EHRs), medical imaging, and patient data, cognitive computing aims to optimize outcomes, reduce errors, and support healthcare professionals in delivering efficient, evidence-based care.

MARKET DYNAMICS

The healthcare cognitive computing market is poised for significant growth due to the explosion of healthcare data, driven by the increasing adoption of electronic health records (EHRs), medical imaging, and wearable health devices. Cognitive computing systems can analyze this vast data, uncovering insights and patterns that traditional methods might miss. This capability is crucial for improving diagnostic accuracy, personalizing treatment plans, and enhancing patient outcomes. Artificial intelligence (AI) and machine learning advancements are also propelling healthcare cognitive computing market growth. Cutting-edge technologies, such as natural language processing & deep learning algorithms, enable cognitive systems to interpret unstructured data, such as physician notes and medical literature, leading to more informed clinical decisions. Additionally, the rising focus on precision medicine, which seeks to tailor treatments to individual patient profiles, creates a demand for cognitive computing solutions to integrate and analyze diverse data sources. Furthermore, the push towards value-based care models encourages the adoption of cognitive computing to improve efficiency and reduce costs. These systems facilitate better resource management, optimize workflows, and support proactive care strategies, aligning with value-based care goals. The expansion of telemedicine & remote patient monitoring also presents opportunities for cognitive computing. These technologies can enhance virtual consultations, analyze remote patient data, and support healthcare providers in delivering effective care remotely. As healthcare organizations increasingly invest in digital transformation, cognitive computing is expected to play an integral role in the evolution of healthcare delivery. However, data privacy concerns and high implementation costs may restrain healthcare cognitive computing market growth.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Healthcare Cognitive Computing. The growth and trends of Healthcare Cognitive Computing industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Healthcare Cognitive Computing market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Technology

Natural Language Processing
Machine Learning
Automated Reasoning
Other Technologies

By End-Use

Hospitals
Pharmaceuticals
Medical Devices
Insurance
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Healthcare Cognitive Computing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Healthcare Cognitive Computing market include Google, IBM, Apple, PTC, Palantir, Microsoft. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. HEALTHCARE COGNITIVE COMPUTING - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Technology
- 3.7.2 Market Attractiveness Analysis By End-Use
- 3.7.3 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL HEALTHCARE COGNITIVE COMPUTING MARKET ANALYSIS BY TECHNOLOGY

5.1. Overview By Technology
5.2. Historical and Forecast Data Analysis By Technology
5.3. Natural Language Processing Historic and Forecast Sales By Regions
5.4. Machine Learning Historic and Forecast Sales By Regions
5.5. Automated Reasoning Historic and Forecast Sales By Regions
5.6. Other Technologies Historic and Forecast Sales By Regions

6. GLOBAL HEALTHCARE COGNITIVE COMPUTING MARKET ANALYSIS BY END-USE

6.1. Overview By End-Use
6.2. Historical and Forecast Data Analysis By End-Use
6.3. Hospitals Historic and Forecast Sales By Regions
6.4. Pharmaceuticals Historic and Forecast Sales By Regions
6.5. Medical Devices Historic and Forecast Sales By Regions
6.6. Insurance Historic and Forecast Sales By Regions
6.7. Others Historic and Forecast Sales By Regions

7. GLOBAL HEALTHCARE COGNITIVE COMPUTING MARKET ANALYSIS BY GEOGRAPHY

7.1. Regional Outlook
7.2. Introduction
7.3. North America Sales Analysis
- 7.3.1 Overview, Historic and Forecast Data Sales Analysis
- 7.3.2 North America By Segment Sales Analysis
- 7.3.3 North America By Country Sales Analysis
- 7.3.4 United States Sales Analysis
- 7.3.5 Canada Sales Analysis
- 7.3.6 Mexico Sales Analysis
7.4. Europe Sales Analysis
- 7.4.1 Overview, Historic and Forecast Data Sales Analysis
- 7.4.2 Europe By Segment Sales Analysis
- 7.4.3 Europe By Country Sales Analysis
- 7.4.4 United Kingdom Sales Analysis
- 7.4.5 France Sales Analysis
- 7.4.6 Germany Sales Analysis
- 7.4.7 Italy Sales Analysis
- 7.4.8 Russia Sales Analysis
- 7.4.9 Rest Of Europe Sales Analysis
7.5. Asia Pacific Sales Analysis
- 7.5.1 Overview, Historic and Forecast Data Sales Analysis
- 7.5.2 Asia Pacific By Segment Sales Analysis
- 7.5.3 Asia Pacific By Country Sales Analysis
- 7.5.4 China Sales Analysis
- 7.5.5 India Sales Analysis
- 7.5.6 Japan Sales Analysis
- 7.5.7 South Korea Sales Analysis
- 7.5.8 Australia Sales Analysis
- 7.5.9 South East Asia Sales Analysis
- 7.5.10 Rest Of Asia Pacific Sales Analysis
7.6. Latin America Sales Analysis
- 7.6.1 Overview, Historic and Forecast Data Sales Analysis
- 7.6.2 Latin America By Segment Sales Analysis
- 7.6.3 Latin America By Country Sales Analysis
- 7.6.4 Brazil Sales Analysis
- 7.6.5 Argentina Sales Analysis
- 7.6.6 Peru Sales Analysis
- 7.6.7 Chile Sales Analysis
- 7.6.8 Rest of Latin America Sales Analysis
7.7. Middle East & Africa Sales Analysis
- 7.7.1 Overview, Historic and Forecast Data Sales Analysis
- 7.7.2 Middle East & Africa By Segment Sales Analysis
- 7.7.3 Middle East & Africa By Country Sales Analysis
- 7.7.4 Saudi Arabia Sales Analysis
- 7.7.5 UAE Sales Analysis
- 7.7.6 Israel Sales Analysis
- 7.7.7 South Africa Sales Analysis
- 7.7.8 Rest Of Middle East And Africa Sales Analysis

8. COMPETITIVE LANDSCAPE OF THE HEALTHCARE COGNITIVE COMPUTING COMPANIES

8.1. Healthcare Cognitive Computing Market Competition
8.2. Partnership/Collaboration/Agreement
8.3. Merger And Acquisitions
8.4. New Product Launch
8.5. Other Developments

9. COMPANY PROFILES OF HEALTHCARE COGNITIVE COMPUTING INDUSTRY

9.1. Top Companies Market Share Analysis
9.2. Market Concentration Rate
9.3. Google
- 9.3.1 Company Overview
- 9.3.2 Company Revenue
- 9.3.3 Products
- 9.3.4 Recent Developments
9.4. IBM
- 9.4.1 Company Overview
- 9.4.2 Company Revenue
- 9.4.3 Products
- 9.4.4 Recent Developments
9.5. Apple
- 9.5.1 Company Overview
- 9.5.2 Company Revenue
- 9.5.3 Products
- 9.5.4 Recent Developments
9.6. PTC
- 9.6.1 Company Overview
- 9.6.2 Company Revenue
- 9.6.3 Products
- 9.6.4 Recent Developments
9.7. Palantir
- 9.7.1 Company Overview
- 9.7.2 Company Revenue
- 9.7.3 Products
- 9.7.4 Recent Developments
9.8. Microsoft
- 9.8.1 Company Overview
- 9.8.2 Company Revenue
- 9.8.3 Products
- 9.8.4 Recent Developments