市場調查報告書
商品編碼
1016004

全球醫療人工智能初創公司發展和部署戰略

Development of Global Healthcare AI Startups and Their Deployment Strategies (pre-order)

出版日期: | 出版商: MIC - Market Intelligence & Consulting Institute | 英文 32 Pages | 商品交期: 3-5個工作天內

價格
  • 全貌
  • 簡介
  • 目錄
簡介

在醫療保健領域,人工智能技術的引入正在取得進展。除了國際領先的ICT公司的積極投資外,醫療AI初創公司也在加速使用機器學習和深度學習、CV(計算機視覺)、NLP(自然語言處理)、語音識別等算法。人工智能技術,例如並擴展到醫療保健人工智能的各個子行業。

本報告調查了全球醫療人工智能初創公司的發展和佈局策略,統計了每個子行業的資本金額和人工智能初創公司的數量,以及海外和台灣醫療人工智能初創公司的部署策略和資本。它提供了關於人工智能的見解和人工智能醫療保健領域的前景等信息。

目錄

第一章醫療人工智能子行業的範圍和定義

第二章全球健康AI公司統計

  • 總體統計
    • 初創公司數量
    • 初創公司籌集的資金
    • 按成立年份:醫療保健 AI 初創公司數量
    • 按國家/地區:醫療保健 AI 初創公司的數量
  • 分部門統計
    • 公共衛生領域的人工智能
    • 流程管理和支持系統中的人工智能
    • 臨床實踐中的人工智能
    • 智能護理中的人工智能
    • 精準醫療中的人工智能
    • 精準醫學人工智能

第三章台灣醫療AI公司統計

  • 總體統計
    • 初創公司數量
    • 啟動資金
    • 按成立年份:醫療保健 AI 初創公司數量
    • 按註冊國家/地區:醫療保健 AI 初創公司的數量
  • 分部門統計
    • 公共衛生領域的人工智能
    • 流程管理和支持系統中的人工智能
    • 臨床實踐中的人工智能
    • 智能護理中的人工智能
    • 精準醫療中的人工智能
    • 精準醫學人工智能

第 4 章 MIC 視角

附錄

  • 公司名單
目錄
Product Code: NARPT21060901

AI technology has been increasingly adopted in the healthcare sector. Apart from the aggressive investment of leading international ICT companies, healthcare AI startups have speeded up the use of algorithms such as machine learning and deep learning to drive the development of AI technologies including CV (Computer Vision), NLP (Natural Language Processing), and voice recognition and expand to various sub-sectors of healthcare AI. This report provides an overview of the development of healthcare AI startups by compiling the amount of capital raised by AI startups and the number of AI startups in different sub-sectors; looks into international and Taiwanese healthcare AI startups’ deployment strategies and their capital; examines outlook for the AI healthcare sector.

Table of Contents

1.Scope and Definition of of Healthcare AI Sub-sectors

2.Statistics of Global Health AI Companies

  • 2.1 Overall Statistics
    • 2.1.1 Number of Startups
    • 2.1.2 Capital Raised by Startups
    • 2.1.3 Number of Healthcare AI Startups by Year of Establishment
    • 2.1.4 Number of Healthcare AI Startups by Country
  • 2.2 Sub-sector Statistics
    • 2.2.1 AI in Public Health
    • 2.2.2 AI in Process Management and Support System
    • 2.2.3 AI in Clinic Practice
    • 2.2.4 AI in Intelligent Care
    • 2.2.5 AI in Precision Health
    • 2.2.6 AI in Precision Medicine

3.Statistics of Taiwanese Health AI Companies

  • 3.1 Overall Statistics
    • 3.1.1 Number of Startups
    • 3.1.2 Capital of Startups
    • 3.1.3 Number of Healthcare AI Startups by Year of Establishment
    • 3.1.4 Number of Healthcare AI Startups by Country of Registration
  • 3.2 Sub-sector Statistics
    • 3.2.1 AI in Public Health
    • 3.2.2 AI in Process Management and Support System
    • 3.2.3 AI in Clinic Practice
    • 3.2.4 AI in Intelligent Care
    • 3.2.5 AI in Precision Health
    • 3.2.6 AI in Precision Medicine

4. MIC Perspective

Appendix

  • List of Companies

List of Tables

  • Table 1 Breakdown of Healthcare AI Sub-sectors

List of Figures

  • Figure 1 Healthcare Sub-sectors Targeted by Healthcare AI Startups
  • Figure 2 Number of International Healthcare AI Startups by Sub-sector
  • Figure 3 Total Capital Raised by International Healthcare AI Startups by Sub-sector
  • Figure 4 Average Capital Raised by International Healthcare AI Startups by Sub-sector
  • Figure 5 Number of International Healthcare AI Startups by Year of Establishment across All Sub-sectors
  • Figure 6 Number of International Healthcare AI Startups by Country
  • Figure 7 Capital Raised by International Healthcare AI Startups and Number of Startups in Public Health
  • Figure 8 Capital Raised by Healthcare AI Startups and Number of Startups in Process Management and Support System
  • Figure 9 Capital Raised by Healthcare AI Startups and Number of Startups in Clinic Practice
  • Figure 10 Capital Raised by Healthcare AI Startups and Number of Startups in Intelligent Care
  • Figure 11 Capital Raised by Healthcare AI Startups and Number of Startups in Precision Health
  • Figure 12 Capital Raised by Healthcare AI Startups and Number of Startups in Precision Medicine
  • Figure 13 Number of Taiwanese Healthcare AI Startups by Sub-sector
  • Figure 14. Total Capital of Taiwanese Healthcare AI Startups by Sub-sector
  • Figure 15 Average Capital of Taiwanese Healthcare AI Startups by Sub-sector
  • Figure 16 Number of Taiwanese Healthcare AI Startups by Year of Establishment across All Sub-sectors
  • Figure 17 Number of Taiwanese Healthcare AI Startups by Country of Registration
  • Figure 18 Capital and Number of Taiwanese Healthcare AI Startups in Public Health
  • Figure 19 Capital and Number of Taiwanese Healthcare AI Startups in Process Management and Support System
  • Figure 20 Capital and Number of Taiwanese Healthcare AI Startups in Clinic Practice
  • Figure 21 Capital and Number of Taiwanese Healthcare AI Startups in Intelligent Care
  • Figure 22 Capital and Number of Taiwanese Healthcare AI Startups in Precision Health
  • Figure 23 Capital and Number of Taiwanese Healthcare AI Startups in Precision Medicine

List of Topics

Healthcare AI subs-sectors, including those targeted by healthcare AI startups

Development of global and Taiwan healthcare companies, touching on number of startups, capital raised, number of healthcare AI startups by year of establishment and by country

Development of AI sub-sectors, including AI in public health, process management and support system, clinic practices, intelligent care, precision health, and precision medicine

Companies covered

Aetion
Babylon Health
Bigfoot Biomedical
Biiofourmis
BlueDot
Clarify Health Solutions
Embodied
Freenome
iCarbonX
Insitro
Microsoft
Neuralink
Nuance
NVidia
Olive
Quartet Health
Sword Health
Synyi
Tempus
Voiceitt