+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Development of Global Healthcare AI Startups and Their Deployment Strategies

  • ID: 5356074
  • Report
  • June 2021
  • Region: Global
  • 32 Pages
  • Market Intelligence & Consulting Institute (MIC)

FEATURED COMPANIES

  • Aetion
  • Biiofourmis
  • Embodied
  • Insitro
  • Nuance
  • Quartet Health

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.

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

This report will be delivered within 3-5 business days.

Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Aetion
  • Biiofourmis
  • Embodied
  • Insitro
  • Nuance
  • Quartet Health

1. Scope and Definition 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. Publisher Perspective

5. Appendix

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 Tables
Table 1 Breakdown of Healthcare AI Sub-sectors

Note: Product cover images may vary from those shown
  • 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
Note: Product cover images may vary from those shown

Primary research with a holistic, cross-domain approach

The exhaustive primary research methods are central to the value that the analyst delivers. A combination of questionnaires and on-site visits to the major manufacturers provides a first view of the latest data and trends. Information is subsequently validated by interviews with the manufacturers' suppliers and customers, covering a holistic industry value chain. This process is backed up by a cross-domain team-based approach, creating an interlaced network across numerous interrelated components and system-level devices to ensure statistical integrity and provide in-depth insight.

Complementing primary research is a running database and secondary research of industry and market information. Dedicated research into the macro-environmental trends shaping the ICT industry also allows the analyst to forecast future development trends and generate foresight perspectives. With more than 20 years of experience and endeavors in research, the methods and methodologies include:

Method

  • Component supplier interviews
  • System supplier interviews
  • User interviews
  • Channel interviews
  • IPO interviews
  • Focus groups
  • Consumer surveys
  • Production databases
  • Financial data
  • Custom databases

Methodology

  • Technology forecasting and assessment
  • Product assessment and selection
  • Product life cycles
  • Added value analysis
  • Market trends
  • Scenario analysis
  • Competitor analysis

Loading
LOADING...

Adroll
adroll