查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1571461

醫療保健認知計算市場規模、佔有率、趨勢分析報告：按技術、按部署、按地區、細分市場預測，2024-2030 年

Healthcare Cognitive Computing Market Size, Share & Trends Analysis Report By Technology (Natural Language Processing, Machine Learning, Automated Reasoning), By Deployment, By Region, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

醫療保健認知計算市場成長與趨勢：

Grand View Research, Inc.最新報告顯示，預計到2030年，全球醫療保健認知運算市場規模將達到約446.5億美元，複合年成長率為27.0%。

推動市場成長的主要因素是科學資料庫的快速成長、個人化醫療保健的需求以及降低醫療保健成本的需要。老年人口的增加是多種疾病盛行率增加的主要因素。

目前資訊科技和巨量資料分析在醫療保健行業的滲透率很低，為了應對不斷上漲的醫療保健成本和改善客戶體驗，許多製造商和研究機構正在積極與科技公司合作，改進他們的產品。服務。

2015 年，強生 (J&J) 和美敦力等領先的醫療保健公司與 IBM 合作，利用該公司的認知運算平台 Watson。強生計畫利用 Watson 打造個人門房服務，幫助病患為膝蓋手術做準備。美敦力 (Medtronic) 使用 Watson 圍繞醫療設備開發物聯網 (IOT) 平台，收集患者個人使用情況的資料，以了解產品性能和患者反應。

此外，蘋果也在 Watson 平台上投入巨資，為 HealthKIT 和 ResearchKit 工具系統開發 IOS 供應商生態系統。這些供應商開發用於個人健康資料收集的應用程式和其他系統，並將資料用於臨床試驗和其他醫療保健應用。

2023年，自然語言處理技術市場佔比最大，為41.9%。這是因為自然語言關鍵字和學習不同語言的能力可以實現簡單的使用者介面。此外，IBM Watson 等平台使新新興企業能夠協作並開發新的行動和雲端應用程式。然而，由於自動推理能夠應用邏輯推理和解決複雜問題，因此預計在預測期內將成長最快。

醫療保健認知計算市場報告亮點：

  • 2023年，自然語言處理（NLP）領域佔據41.9%的市場。市場成長是由 NLP 應用程式的增加所推動的，因為利用自然語言關鍵字來促進場景和分析過程中的搜尋。
  • 2023年，雲端細分市場佔據壓倒性的市場佔有率，達到72.0%。市場成長得益於雲端基礎的認知運算的擴充性、適應性和成本效益。
  • 北美在全球醫療保健認知計算市場佔據主導地位，2023 年收益佔有率為 38.8%。這一成長得益於先進的技術基礎設施以及政府和私人機構對人工智慧和認知技術的投資增加。

目錄

第1章調查方法與範圍

第 2 章執行摘要

第3章醫療保健認知計算市場變數、趨勢和範圍

  • 市場介紹/系統展望
  • 市場規模及成長前景
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
  • 醫療保健認知運算市場分析工具
    • 波特的分析
    • PESTEL分析

第4章醫療保健認知計算市場：技術評估與趨勢分析

  • 細分儀表板
  • 醫療保健認知計算市場：技術變化分析，百萬美元，2023-2030
  • 自然語言處理
  • 機器學習
  • 自動推理
  • 資訊搜尋

第5章 醫療保健認知計算市場：發展預估與趨勢分析

  • 細分儀表板
  • 醫療保健認知計算市場：部署變化分析，百萬美元，2023-2030
  • 雲
  • 本地

第6章 醫療保健認知計算市場：區域估計與趨勢分析

  • 醫療保健認知計算市場佔有率（按地區），2023 年和 2030 年，百萬美元
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 丹麥
    • 瑞典
    • 挪威
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
    • 泰國
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中東/非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第7章 競爭格局

  • 最新趨勢與影響分析：主要市場參與企業
  • 公司分類
  • 企業熱力圖分析
  • 公司簡介
    • Microsoft
    • IBM Corporation
    • NVIDIA Corporation
    • Intel Corporation
    • Iterx Group
    • GE Healthcare
    • Medtronic
    • Oracle
    • Medidata
    • Google
簡介目錄
Product Code: 978-1-68038-719-3

Healthcare Cognitive Computing Market Growth & Trends:

The global healthcare cognitive computing market size is expected to reach nearly USD 44.65 billion by 2030, registering a CAGR of 27.0%, according to a new report by Grand View Research, Inc. Key factors attributing to the market growth are rapid growth in the scientific database, demand for personalized healthcare, and the need to reduce healthcare expenditure levels. Increasing geriatric population is a major factor increasing the prevalence rate of several diseases.

Information technology and big data analytics penetration in the healthcare industry is presently very less, and to tackle the increasing healthcare expenditure and improve customer experience, many manufacturers and research organizations are actively collaborating with technology firms to improve their products and services.

In 2015, big healthcare firms such as Johnson and Johnson (J&J) and Medtronic have partnered with IBM to utilize its cognitive computing platform Watson. J&J plans to utilize Watson to create a personal concierge service which can be used to prepare patients for knee surgery. Medtronic will use Watson to develop an internet of things (IOT) platform around its medical devices to collect data from patient's personal use to understand product performance and patient response.

Furthermore, Apple has also invested significantly in the Watson platform to develop an IOS vendor ecosystem for its HealthKIT and ReasearchKit tool systems. These vendors would develop apps and other systems for personal health data collection, and utilizing the data for clinical trials and other healthcare applications.

In 2023, the natural language processing technology market accounted for the largest share at 41.9%, due to its ability to learn natural language key words, and different languages, thereby enabling easy user interface. Additionally, platforms such as IBM Watson are enabling the new startups to collaborate and develop new mobile and cloud applications. However, automated reasoning is expected to be the fastest growing with a over the forecast period, owing to its ability to apply logical reasoning and solve complex problems.

Healthcare Cognitive Computing Market Report Highlights:

  • The Natural Language Processing (NLP) segment dominated the market in 2023, with a share of 41.9%. The factors attributing to the market growth are the increased applications of NLP, as natural language keywords are utilized to make searching easier during scenarios and analysis.
  • The cloud segment dominated the market in 2023, with a share of 72.0%. The market growth is due to the ability of cloud-based cognitive computing to scale, adapt, and be cost-efficient.
  • North America dominated the global healthcare cognitive computing market with a revenue share of 38.8% in 2023. This growth was attributed to advanced technological infrastructure and increased investment by government and private institutes in artificial intelligence and cognitive technologies.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Healthcare Cognitive Computing Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Market Size and Growth Prospects (USD Million)
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
    • 3.3.2. Market Restraints Analysis
  • 3.4. Healthcare Cognitive Computing Market Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. Healthcare Cognitive Computing Market: Technology Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Healthcare Cognitive Computing Market: Technology Movement Analysis, USD Million, 2023 & 2030
  • 4.3. Natural Language Processing
    • 4.3.1. Natural Language Processing Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Machine Learning
    • 4.4.1. Machine Learning Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Automated Reasoning
    • 4.5.1. Automated Reasoning Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.6. Information Retrieval
    • 4.6.1. Information Retrieval Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. Healthcare Cognitive Computing Market: Deployment Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Healthcare Cognitive Computing Market: Deployment Movement Analysis, USD Million, 2023 & 2030
  • 5.3. Cloud
    • 5.3.1. Cloud Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.4. On-Premise
    • 5.4.1. On-Premise Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. Healthcare Cognitive Computing Market: Regional Estimates & Trend Analysis

  • 6.1. Healthcare Cognitive Computing Market Share, By Region, 2023 & 2030, USD Million
  • 6.2. North America
    • 6.2.1. North America Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.2.2. U.S.
      • 6.2.2.1. U.S. Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.2.3. Canada
      • 6.2.3.1. Canada Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.2.4. Mexico
      • 6.2.4.1. Mexico Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.3. Europe
    • 6.3.1. Europe Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Billion)
    • 6.3.2. UK
      • 6.3.2.1. UK Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.3. Germany
      • 6.3.3.1. Germany Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.4. France
      • 6.3.4.1. France Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.5. Italy
      • 6.3.5.1. Italy Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.6. Spain
      • 6.3.6.1. Spain Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.7. Denmark
      • 6.3.7.1. Denmark Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.8. Sweden
      • 6.3.8.1. Sweden Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.3.9. Norway
      • 6.3.9.1. Norway Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.4. Asia Pacific
    • 6.4.1. Asia Pacific Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.2. Japan
      • 6.4.2.1. Japan Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.3. China
      • 6.4.3.1. China Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.4. India
      • 6.4.4.1. India Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.5. Australia
      • 6.4.5.1. Australia Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.6. South Korea
      • 6.4.6.1. South Korea Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.4.7. Thailand
      • 6.4.7.1. Thailand Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.5. Latin America
    • 6.5.1. Latin America Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.5.2. Brazil
      • 6.5.2.1. Brazil Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.5.3. Argentina
      • 6.5.3.1. Argentina Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.6. Middle East and Africa
    • 6.6.1. Middle East and Africa Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.6.2. South Africa
      • 6.6.2.1. South Africa Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.6.3. Saudi Arabia
      • 6.6.3.1. Saudi Arabia Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.6.4. UAE
      • 6.6.4.1. UAE Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 6.6.5. Kuwait
      • 6.6.5.1. Kuwait Healthcare Cognitive Computing Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. Competitive Landscape

  • 7.1. Recent Developments & Impact Analysis by Key Market Participants
  • 7.2. Company Categorization
  • 7.3. Company Heat Map Analysis
  • 7.4. Company Profiles
    • 7.4.1. Microsoft
      • 7.4.1.1. Participant's Overview
      • 7.4.1.2. Financial Performance
      • 7.4.1.3. Product Benchmarking
      • 7.4.1.4. Recent Developments/ Strategic Initiatives
    • 7.4.2. IBM Corporation
      • 7.4.2.1. Participant's Overview
      • 7.4.2.2. Financial Performance
      • 7.4.2.3. Product Benchmarking
      • 7.4.2.4. Recent Developments/ Strategic Initiatives
    • 7.4.3. NVIDIA Corporation
      • 7.4.3.1. Participant's Overview
      • 7.4.3.2. Financial Performance
      • 7.4.3.3. Product Benchmarking
      • 7.4.3.4. Recent Developments/ Strategic Initiatives
    • 7.4.4. Intel Corporation
      • 7.4.4.1. Participant's Overview
      • 7.4.4.2. Financial Performance
      • 7.4.4.3. Product Benchmarking
      • 7.4.4.4. Recent Developments/ Strategic Initiatives
    • 7.4.5. Iterx Group
      • 7.4.5.1. Participant's Overview
      • 7.4.5.2. Financial Performance
      • 7.4.5.3. Product Benchmarking
      • 7.4.5.4. Recent Developments/ Strategic Initiatives
    • 7.4.6. GE Healthcare
      • 7.4.6.1. Participant's Overview
      • 7.4.6.2. Financial Performance
      • 7.4.6.3. Product Benchmarking
      • 7.4.6.4. Recent Developments/ Strategic Initiatives
    • 7.4.7. Medtronic
      • 7.4.7.1. Participant's Overview
      • 7.4.7.2. Financial Performance
      • 7.4.7.3. Product Benchmarking
      • 7.4.7.4. Recent Developments/ Strategic Initiatives
    • 7.4.8. Oracle
      • 7.4.8.1. Participant's Overview
      • 7.4.8.2. Financial Performance
      • 7.4.8.3. Product Benchmarking
      • 7.4.8.4. Recent Developments/ Strategic Initiatives
    • 7.4.9. Medidata
      • 7.4.9.1. Participant's Overview
      • 7.4.9.2. Financial Performance
      • 7.4.9.3. Product Benchmarking
      • 7.4.9.4. Recent Developments/ Strategic Initiatives
    • 7.4.10. Google
      • 7.4.10.1. Participant's Overview
      • 7.4.10.2. Financial Performance
      • 7.4.10.3. Product Benchmarking
      • 7.4.10.4. Recent Developments/ Strategic Initiatives