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APAC Healthcare AI Market Outlook to 2025 – By Applications (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction), by Countries, by End Users & by Technologies and Current Investment Scenario

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The report titled "APAC Healthcare AI Market Outlook to 2025 – By Applications (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction), by Countries, by End Users & by Technologies and Current Investment Scenario" covers market size by revenue generated by Artificial Intelligence providers in Healthcare Market in Asia Pacific region along with market segmentation by Technology (Deep Learning Method, Querying Method, Natural Language Processing and Context Aware Processing), by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others), by End User (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers) and by Country (Japan, China, Australia, India, Singapore and Rest of APAC) for the period 2013-2025. The report also covers emerging growth drivers and trends; innovation, adoption and application gap in comparison to US and Europe; case studies on various healthcare application areas and competitive landscape of players in the market with special focus on IBM, NVIDIA Corporation, Intel, Microsoft Corporation, iCarbonX, Alphabet Inc., Next IT Verint Corporation, Welltok Incorporation, Oncora Medical, Entilic Incorporation, Koninklijke Philips and General Vision.  The interpretation explores investment trends in the market, major funding opportunities by stage, potential markets of investment activity along with future outlook & projections highlighting the major opportunities & cautions to the reader. This report will particularly help the readers to identify the ongoing trends in the industry and anticipated growth in the future depending upon changing industry dynamics in upcoming years.
APAC AI in Healthcare Market Summary
Market Overview: APAC AI in Healthcare Market has witnessed strong growth owing to rising number of collaborations, investments and partnerships among hospitals, healthcare providers, AI developers and medical device manufacturers; improved accuracy and predictive capacity of AI powered devices, limited number of skilled healthcare professionals in developing countries such as China and India and over the years advancements in processor design and manufacturing techniques across Asia Pacific region. The market size by revenue witnessed a five year CAGR of close to 56% during the review period (2013-2018) due to the combined effect of these factors. The market is currently placed in high growth stage with strong possibility for further innovations and developments at a faster pace with positive trends expected in the industry.

Market Segmentation
s
By Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing)
APAC AI in Healthcare Market incorporates various technologies such as Deep Learning Method, Natural Language Processing and Context Aware Processing. In 2018, majority of the revenue was contributed by Natural Language Processing method owing to its high application in health robots, hospital management systems and decision making services. This was followed by Querying Method which contributed second highest share to the total revenue in 2018. The remaining share was contributed by Context Aware Processing and Deep Learning Method.
By Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others)
APAC AI in Healthcare Market application areas include Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others (including Fitness & Wellness Tech Devices). In 2018, highest contribution to overall revenue was made by machine/robot assisted medical procedures owing to high robot costs and limited technical capabilities in Asia Pacific region. Second highest contribution to revenue was made by clinical trial & drug discovery/development and preliminary diagnosis owing to its application in multiple fields. This was followed by administrative workflow assistance, virtual nursing assistant, fraud detection, dosage error reduction and others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness).
By End Users (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers)
APAC AI in Healthcare majorly includes four categories of end users including Hospitals/Clinics/Healthcare Providers, Medical Devices Manufacturers or Companies, Pharmaceuticals & Biotechnology Companies and Others, including Payers and Other Software Providers. In 2018, highest proportion of revenue was contributed by Hospitals/Clinics/Healthcare Providers. Factors driving demand in Hospitals and healthcare centers includes high application of AI in overall management of hospitals through usage of several healthcare management software, high adoption of AI in medical devices and machineries used in hospitals, AI being used for mundane tasks in order to reduce workload of doctors, nurses and others. Medical device manufacturers were seen to be the second highest contributor to revenue in 2018. This was followed by Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers.
By Country (Japan, China, Australia, India, Singapore and Rest of APAC)
In global scenario, Asia Pacific region is one of the fastest growing regions with presence of leading companies such as IBM, Microsoft, Google and others. In terms of technological developments and innovations, Japan and China are seen to be fastest growing nations in Asia Pacific region. In 2018, Japan contributed highest revenue to the overall revenue generated in AI healthcare market in Asia Pacific region followed by China with very low difference. Other APAC countries such as Thailand and Malaysia were noted to be the third largest revenue contributors in the region owing to factors such as high AI adoption rate in these countries. This was followed by Australia, India and Singapore.
Competitive Landscape in APAC AI in Healthcare Market: The nature of APAC AI in Healthcare Market differs on the basis of the number of players and share in overall revenue generation. When analyzing on the basis of number of players, the market is considered to be fragmented with high number of small and large players present in the market though only few big players occupy the highest revenue share. These include companies such as IBM, Microsoft, iCarbonX, Alphabet Inc. and others. The major competing parameters in the market include ease of AI integration in current systems and devices, customization services offered in AI application software, accessibility and number of patents earned.
APAC AI in Healthcare Market Future Outlook and Projections: Over the forecast period 2019-2025, APAC AI Healthcare Market is predicted to grow at a CAGR of close to 54% in terms of revenue. Major growth in coming years will be supported by factors such as supportive legislative regulations, high investments by new startups and already established companies looking for expansion, innovations and developments for new products and others.
Key Segments Covered in APAC AI in Healthcare Market
  • By Technology(On the basis of Revenue)
  • Deep Learning Method
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing
  • By Application (On the basis of Revenue)
  • Machine/Robot Assisted Medical Procedures
  • Clinical Trial & Drug Discovery/Development
  • Preliminary Diagnosis
  • Administrative Workflow Assistance
  • Virtual Nursing Assistant
  • Fraud Detection
  • Dosage Error Reduction
  • Others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness)
  • By End Users (On the basis of Revenue)
  • Hospitals/Clinics/Healthcare Providers
  • Medical Devices Companies
  • Pharmaceuticals & Biotechnology Companies
  • Others Including Payers and Other Software Providers
  • By Country (On the basis of Revenue)
  • Japan
  • China
  • Australia
  • India
  • Singapore
  • Rest of APAC
Key Target Audience
  • Hospitals, Clinics and Healthcare Providers
  • Medical Device Manufacturers
  • Insurance Providers
  • AI Developers
  • Healthcare Software Providers
  • Pharmaceuticals & Biotechnology Companies
  • Research Institutes
  • Venture Capital Firms
Time Period Captured in the Report:
  • Historical Period – 2013-2018
  • Forecast Period – 2019-2025
Companies Covered:
  • IBM
  • NVIDIA Corporation
  • Intel
  • Microsoft Corporation
  • iCarbonX
  • Alphabet Inc.
  • Next IT Verint Corporation
  • Welltok Incorporation
  • Oncora Medical
  • Entilic Incorporation
  • Koninklijke Philips
  • General Vision
Key Topics Covered in the Report
  • APAC AI in Healthcare Value Chain & Ecosystem
  • APAC AI in Healthcare Market Size Analysis, 2013– 2018
  • APAC Healthcare AI Market Segmentation, 2013-2025E
  • Innovation, Adoption and Application Gap - Comparison of APAC with Europe & US
  • Regulatory Framework in APAC AI in Healthcare Market
  • Case Studies on Various Application Areas of AI in Healthcare, 2013-2018
  • Competitive Landscape in APAC AI in Healthcare Market, 2018
  • Company Profiling Of Major Players Operating in APAC Artificial Intelligence in Healthcare Market
  • Investment Scenario- Healthcare in AI, 2018
  • Taxonomy
  • Markets of Investment Activity
  • Future Market Sizing Analysis, 2019E-2025E
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Table Of Content

Scope

1. Executive Summary
Market Size and Overview
Market Segmentation
Competitive Analysis
Future Projections

2. Research Methodology
2.1. Market Definitions
2.2. Abbreviations
2.3. Consolidated Research Approach
2.4. Market Sizing Approach
2.5. Market Limitations
2.6. Final Conclusion

3. APAC AI in Healthcare Value Chain & Ecosystem
Market Ecosystem, 2018
Market Value Chain(Inter-Entity Relationship Analysis), 2018

4. APAC AI in Healthcare Market Size Analysis, 2013– 2018
Key Takeaways

5. APAC Healthcare AI Market Segmentation, 2013-2025E
5.1. By Application, 2013-2025E
5.2. By End User (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals, Biotechnology Companies & Others), 2013-2025E
5.3. By Country (Japan, China, Australia, India, Singapore & Rest of APAC), 2013-2023E
India Healthcare AI Market, 2013-2023E
Singapore Healthcare AI Market, 2013-2023E
Japan Healthcare AI Market, 2013-2023E
China Healthcare AI Market, 2013-2023E
Australia Healthcare AI Market, 2013-2023E
OTher APAC Countries AI in Healthcare MArket, 2013-2023E
5.4. By Technology (Deep Learning, Querying Method, Natural Language Processing & Context Aware Processing), 2013-2023E
Deep Learning
Querying Method
Natural Language Processing
Context Awareness Processing

6. Innovation, Adoption and Application Gap - Comparison of APAC with Europe & US
7. Regulatory Framework in APAC AI in Healthcare Market

8. Case Studies on Various Application Areas of AI in Healthcare, 2013-2018

8.1. Automated Report Generating Model
8.2. Hospital Patient Management System
8.3. Digital Pathology
8.4. Face Recognition in Healthcare
8.5. Converting Paperwork into Digital Data
8.6. Healthcare Vascular Disrupting Agent
8.7. Counterfeit Medicine Analysis
8.8. Medical Treatment Recommendations
8.9. Predicting Illness and Patient Outcomes
8.10. Text Classification and Mining for Biomedical Literature
8.11. Portable Ultrasound Devices
8.12. Methods of Monitoring Vitals
8.13. Drug Discovery
8.14. Biomarker Discovery

9. Competitive Landscape in APAC AI in Healthcare Market, 2018
9.1. Competition Scenario in APAC AI in Healthcare Market, 2018
9.2. Strengths and Weaknesses Of Major Players, 2018

10. Company Profiling of Major Players Operating in APAC Artificial Intelligence in Healthcare Market (Including Company Overview, Software Offerings, Applications, Business Strategies, Partnerships, Products Offered, Watson in APAC, Challenges Faced etc.)
10.1.1. IBM
10.2. NVIDIA Corporation
10.3. Intel
10.4. Microsoft Corporation
10.5. iCarbonX
10.6. Alphabet Inc. (Google Inc)
10.7. Next-IT Verint Corporation
10.8. Welltok Incorporation
10.9. Oncora Medical
10.10. Entilic Incorporation
10.11. Koninklijke Philips
10.12. General Vision

11. Investment Sceanrio-Heathcare in AI, 2018
11.1. List of Companies By Public, Acquired and Unicorn, 2018
11.2. Competition Analysis & Investment Outlook by Sector
11.2.1. List of Companies By Biopharma (by Therapy)
11.2.2. List of Companies By Healthcare Analytics
11.2.3. List of Companies By Clinical Analytics
11.2.4. List of Companies By Diagnostics (by Disease)
11.2.5. List of Companies By Consumer HealthTech
11.2.6. List of Companies By Healthcare IT
11.2.7. List of Companies Diagnostics (By Technology)
11.2.8. List of Companies By Medical Devices
11.2.9. List of Companies By Research and Development
11.3. Major Funding By Stage (Late, Early and Seed), June 2017- June 2019
11.4. Investment Trends

12. Healthcare AI Market Mapping
12.1. Biopharma (By Theraphy)
12.2. Healthcare Analytics
12.3. Biopharma (by Disease)
12.4. Diagnostics (By Disease)
12.5. Consumer HealthTech
12.6. By Fitness and Wellness Tech
12.7. By Healthcare IT
12.8. Diagnostics (by Technology)
12.9. By Medical Devices
12.10. Life Sciences Tech
12.11. Biotech R&D
12.12. Biopharma Outsourcing
12.13. Genomics
12.14. Assistive Tech
12.15. Others

13. Markets of Investment Activity
13.1. Suite
13.2. Sequencing Analysis
13.3. Cheminformatics
13.4. Patient Health
13.5. Aging
13.6. AI
13.7. Virtual Care
13.8. Access Solutions
13.9. WorkFlow Optimization
13.10. Disease Agnostic AI

14. Future Market Sizing Analysis, 2019E-2025E
Why AI & What For?
Company Focus by 2025
Disclaimer
Contact Us


List Of Figure

Figure 1-1: APAC AI in Healthcare Market Flow Chart Including Major Market Segments, 2018
Figure 4-1: APAC AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2018
Figure 5-1: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others) on the basis of Revenue, 2013-2018
Figure 5-2: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others) on the basis of Revenue, 2019-2025E
Figure 5-3: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue, 2013-2018
Figure 5-4: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue, 2019-2025E
Figure 5-5: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, and Rest of APAC) on the basis of Revenue, 2013-2018
Figure 5-6: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, and Rest of APAC) on the basis of Revenue, 2019-2023E
Figure 5-7: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, Rest of APAC) on the basis of Revenue, 2019-2023E
Figure 5-8: India AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-9: India AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-10: India AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-11: India AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-12: Singapore AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-13: Singapore AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-14: Singapore AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-15: Singapore AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-16: Japan AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-17: Japan AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-18: Japan AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-19: Japan AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-20: China AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-21: China AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-22: China AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-23: China AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-24: Australia AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-25: Australia AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-26: Australia AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-27: Australia AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-28: Other APAC Countries in AI Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-29: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2013-2018
Figure 5-30: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2019E-2025E
Figure 6-1: Comparison Chart Including Proportion of Employment in Global AI Scenarios by Country (USA, China, India, Germany, UK and Others) in Percentage, 2018
Table 7-1: Government Policies/Regulations Affecting APAC AI in Healthcare Market Including Country Wise Analysis, 2018
Figure 10-1: Financial Performance of Intel Corporation on the Basis of Global Market Revenue in USD Million and Growth Rates (%), 2015-2017
Figure 10-2 Intel Corporation Revenue Share by Market Segment, 2017
Figure 10-3: Financial Performance of Microsoft on the Basis of Global Market Revenue in USD Million and Growth Rate in Percentage (%), 2015-2017
Figure 10-4: Financial Performance of Alphabet Inc. on the Basis of Global Market Revenue in USD Million and Growth Rate in Percentage (%), 2015-2017
Figure 10-5: Funding Received by Welltok Incorporation, 2012-2018
Figure 14-1: APAC Healthcare AI Market Future Outlook and Projections by Revenues in USD Million and Growth Rate in Percentage (%), 2019E-2025E


List Of Table

Table 2-1: Abbreviations used in APAC AI in Healthcare Market, 2018
Table 3-1: APAC AI in Healthcare Ecosystem including Entities and Companies Involved, 2018
Table 3-2: APAC AI in Healthcare Market Value Chain Entities including AI Domain Specialists, Solution Enablers– Solution Providers and Industry Specialist, 2013-18
Table 4-1: APAC AI in Healthcare Market Size on the Basis of Revenue Including Market Size (2013-2018) & Players , Shaping-Up APAC in Global AI Healthcare Landscape , Return on Investment , Reasons for Market Growth , Major Mergers & Acquisitions, Adoption/Penetration of AI in Healthcare, Major Market Restraints, Key Highlight Innovations by Companies, AI Technologies for Knowledge Synthesis and Period CAGR, 2013-2018
Table 5-1: APAC AI in Healthcare Market Segmentation by Application on the basis of Revenue including Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others (Health Monitoring apps), 2013-2018
Table 5-2: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development , Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others) on the basis of Revenue in USD Million, 2013-2018
Table 5-3: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development , Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others) on the basis of Revenue in USD Million, 2019E-2025E
Table 5-4: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue including Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others, 2013-2025E
Table 5-5: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue in USD Million, 2013-2018
Table 5-6: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue in USD Million, 2019-2025E
Table 5-7: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, Rest of APAC) on the basis of Revenue, 2013-2018
Table 5-8: India AI in Healthcare Market Size and Segmentation including AI in Healthcare, Government Initiatives, Prominent AI startups in India and Challenges, 2013-2023E
Table 5-9: Sales Revenue in USD Million Generated by Prominent Startups in India, FY’16-FY’18
Table 5-10: India AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-11: India AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-12: India AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-13: Singapore AI in Healthcare Market Size and Segmentation including AI Healthcare in Singapore, Products in Pipeline, Problems that will be solved with AI, Major AI companies in Singapore, 2013-2023E
Table 5-14: Singapore AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-15: Singapore AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-16: Singapore in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-17: Japan AI in Healthcare Market Size and Segmentation including AI in Healthcare Overview , Initiatives by Government, Japanese Healthcare AI companies, Leading AI Robots in Japan and Future Developments, 2013-2023E
Table 5-18: Japan AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-19: Japan AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-20: Japan AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-21: China AI in Healthcare Market Size and Segmentation including Overview, Initiatives by Government, Major AI companies in China and Recent Developments, 2013-2023E
Table 5-22: China AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-23: China AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-24: China AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-25: Australia AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-26: Australia AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-27: Australia AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-28: Other APAC Countries AI in Healthcare Market Size and Segmentation including Overview, Recent Developments, Major Healthtech Startups, Investments, Market Revenue and Future Market Revenue, 2013-2023E
Table 5-29: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2016-2018
Table 5-30: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2019E-25E
Table 5-31: Deep Learning Method including Role in Healthcare, Application Areas, Benefits of using Deep Learning, Market Revenue and Future, 2013-2025E
Table 5-32: Querying Method including Overview, Solutions Provided, Market Revenue, System Providers and Future, 2013-2025E
Table 5-33: Natural Language Processing Method including Overview, Application Areas, NLP Softwares Available, NLP Used Cases, Market Revenue, Challenges of Adopting NLP tools and Future, 2013-2025E
Table 5-34: Context Awareness Processing Method including Overview and Applications, 2013-2025E
Table 6-1: Comparison between US & Europe and APAC on the basis of Positioning APAC V/S US & Europe, Research & Development and Innovation, Investments and Adoption, 2018
Table 6-2: Comparison Chart Including Proportion of Employment in Global AI Scenarios by Country (USA, China, India, Germany, UK and Others) in Numbers, 2018
Table 8-1: Automated Report Generating Model including Need for Developing Automated Report Generating Technique, Areas of Application, Imaging Equipment Vendors, Current Technologies Used and Startups Involved in APAC, 2018
Table 8-2: Hospital Management System including Overview, Challenges Faced, Available Softwares, Other Startups Involved in APAC, Demanded Features and Future Opportunities, 2018
Table 8-3: Digital Pathology including Overview, Companies, Software, Evolution of Pathology, Products, End Users, Applications and Future Innovations, 2018
Table 8-4: Face Recognition Systems including Need for Face Recognition Technology, Areas of Application, Companies Involved, Challenges Faced, Cases where FRT has been used and Future Opportunities, 2018
Table 8-5: Converting Paperwork into Digital Data including Softwares Available, Other Software Developers, Software Selection Parameters, Benefits and Disadvantages of using EMR system, 2018
Table 8-6: Healthcare Vascular Disrupting Agent including what are Vascular Disrupting Agents (VDAs)?, Ligand-directed VDAs, Small Molecule VDAs, Applications, Available VDAs, VDAs in Development and Results of using VDAs, 2018
Table 8-7: Counterfeit Medicine Analysis including Overview and Technologies Used, 2018
Table 8-8: Medical Treatment Recommendations including Softwares Used, Project’s in Pipeline, Complementing Human Decision Making and Challenges Faced, 2018
Table 8-9: Predicting Illness and Patient Outcomes including Overview, Benefits, Applications and Technologies in Use and Predictive Analytics Presentation, 2018
Table 8-10: Text Classification and Mining for Biomedical Literature including Overview, Benefits, Applications and Technologies in Use, 2018
Table 8-11: Portable Ultrasound Devices including Overview, Growth Factors, Portable Models Available, Emerging Startups, Price Range, Challenges and Future Development Areas, 2018
Table 8-12: Methods of Monitoring Vitals including Overview, Monitoring Devices Types and Companies & Products, 2018
Table 8-13: Drug Discovery including Need, Software, Companies, Innovation of AI in Drug Discovery, Advantages and Challenges, 2018
Table 8-14: Biomarker Discovery including Classifying Biomarkers, Imaging Biomarker Roadmap, Parties Involved in Biomarker Discovery and Application, 2018
Table 9-1: APAC AI in Healthcare Market Competitive Scenario Including Market Nature, Major Barriers to Entry, Challenges Faced by Existing Players and Major Competing Parameters, 2018
Table 9-2: Competitive Strengths, Weaknesses of Major Companies including IBM, NVIDIA Corporation, Intel Corporation, Microsoft Corporation, Alphabet Inc., iCarbonX, 2018
Table 10-1: Company Profile of IBM including Company Overview, Software Offerings, Applications, Business Strategies, Partnerships, Products Offered, Watson in APAC, Challenges Faced, 2018
Table 10-2: Company Profile of NVIDIA Corporation including Company Overview, Business Segments, NVIDIA CLARA, Business Strategies, Company Financials and Recent Collaborations, 2018
Table 10-3: Technology Stack followed by NVIDIA Corporation, 2018
Table 10-4: Company Profile of Intel Including Company Overview, Intel Pharma Analytics Platform, Collaborations, Applications, Technology Stack Used, Company Financials and Partnerships & Collaborations, 2018
Table 10-5: Company Profile of Microsoft Corporation including Company Overview, Key Strategic Moves & Developments, Microsoft in APAC and Future Plans, 2018
Table 10-6: Microsoft Product Portfolio, 2018
Table 10-7: Company Profile of iCarbonX including Company Overview, Awards & Recognitions, Acquisitions & Collaborations and Future Developments, 2018
Table 10-8: iCarbonX Product Portfolio, 2018
Table 10-9: Company Profile of Alphabet Inc. Including Company Overview, Verily, Calico, Acquisitions & Collaborations, Google Healthcare AI in APAC, Projects in Pipeline, Business Strategies, Powering Data Infrastructure and Company Financials, 2018
Table 10-10: Alphabet Inc’s Product Portfolio, 2018
Table 10-11: Company Profile of Next IT Verint Corporation. Including Company Overview, Technologies, Services and Recent Developments, 2018
Table 10-12: Company Profile of Welltok Incorporation including Company Overview, Product and Services and Key Strategic Moves, 2018
Table 10-13 Company Profile of Oncora Medical including Company Overview, Precision Radiation Oncology Platform, Technologies and Recent Developments, 2018
Table 10-14: Company Profile of Entilic Incorporation including Company Overview, X-ray and Imaging and Key Strategic Moves, 2018
Table 10-15: Company Profile of Koninklijke Philips including Company Overview, Acquisitions, Company Financials and Rewards and Recognition, 2018
Table 10-16: Product Portfolio of Koninklijke Philips, 2018
Table 10-17: Company Profile of General Vision including Company Overview, Business Strategy, AI Platforms, Pricing Structure and Recent Developments, 2018
Table 11-1: List of Companies (Public, Acquired and Unicorn) including Year of Establishment, Location and Funding, in AI Healthcare, 2018
Table 11-2: List of Companies by Biopharma (by Therapy) including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-3: List of Companies by Healthcare Analytics including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-4: List of Companies by Clinical Analytics including Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-5: List of Companies by Diagnostics (by Disease) including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-6: List of Companies by Consumer HealthTech including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-7: List of Companies by Healthcare IT including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-8: List of Companies by Diagnostics (By Technology) including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-9: List of Companies by Medical Devices including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-10: List of Companies by Research and Development including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-11: Major Funding by Stage (Late, Early and Seed) in AI in Healthcare, June, 2017-June 2019
Table 11-12: Top Ecosystem Investors in AI in Healthcare, (Jun 2014-Jun 2019)
Table 11-13: Investors in Public companies, Mega Acquisitions, Unicorns and Soonicorns in AI in Healthcare by stage of entry (Seed, Early and Late)
Table 11-14: Investors with maximum number of Public companies, Mega Acquisitions and Unicorn companies in AI in Healthcare
Table 12-1: Taxonomy in Biopharma (By Theraphy) including description, total funding, investment and notable companies, 2018
Table 12-2: Taxonomy in Healthcare Analytics including description, total funding, investment and notable companies, 2018
Table 12-3: Taxonomy in Biopharma (by Disease) including description, total funding, investment and notable companies, 2018
Table 12-4: Taxonomy in Diagnostics (By Disease) including description, total funding, investment and notable companies
Table 12-5: Taxonomy in Consumer HealthTech including description, total funding, investment and notable companies, 2018
Table 12-6: Taxonomy in Fitness and Wellness Tech including description, total funding, investment and notable companies, 2018
Table 12-7: Taxonomy in Healthcare IT including description, total funding, investment and notable companies
Table 12-8: Taxonomy in Diagnostics (by Technology) including description, total funding, investment and notable companies, 2018
Table 12-9: Taxonomy in Medical Devices including description, total funding, investment and notable companies, 2018
Table 12-10: Taxonomy in Life Sciences Tech including description, total funding, investment and notable companies, 2018
Table 12-11: Taxonomy in Biotech R&D including description, total funding, investment and notable companies, 2018
Table 12-12: Taxonomy in Biopharma Outsourcing including description, total funding, investment and notable companies, 2018
Table 12-13: Taxonomy in Genomics including description, total funding, investment and notable companies, 2018
Table 12-14: Taxonomy in Assistive Tech including description, total funding, investment and notable companies, 2018
Table 12-15: Taxonomy in Others (Nutraceutical Ingredients and Generics & Biosimilars) including description, total funding, investment and notable companies, 2018
Table 13-1: Investment Activity for/in Suite including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-2: Top Companies in Suite including Year, Location, Stage and Funding
Table 13-3: Investment Activity for Sequencing Analysis including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-4: Top Companies in Sequencing Analysis including Year, Location, Stage and Funding, 2018
Table 13-5: Investment Activity for Cheminformatics including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-6: Top Companies in Cheminformatics including Year, Location, Stage and Funding
Table 13-7: Investment Activity for Patient Health including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019

Table 13-8: Top Companies in Patient Health including Year, Location, Stage and Funding
Table 13-9: Investment Activity for Aging including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-10: Top Companies in Aging including Year, Location, Stage and Funding
Table 13-11: Investment Activity for AI including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-12: Top Companies in AI including Year, Location, Stage and Funding
Table 13-13: Investment Activity for Virtual Care including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-14: Top Companies in Virtual Care including Year, Location, Stage and Funding
Table 13-15: Investment Activity for Access Solutions including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-16: Top Companies in Access Solutions including Year, Location, Stage and Funding
Table 13-17: Investment Activity for WorkFlow Optimization including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-18: Top Companies in WorkFlow Optimization including Year, Location, Stage and Funding
Table 13-19: Investment Activity for Disease Agnostic AI including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-20: Top Companies in Disease Agnostic AI including Year, Location, Stage and Funding
Table 14-1: APAC Healthcare AI Market Future Outlook and Projections by Revenues, Including Key Future Developments & Reasons for Change and Future Growth Opportunities, 2018E-2025E

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Products and Companies

Products

Key Segments Covered in APAC AI in Healthcare Market

  • By Technology(On the basis of Revenue)
  • Deep Learning Method
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing
  • By Application (On the basis of Revenue)
  • Machine/Robot Assisted Medical Procedures
  • Clinical Trial & Drug Discovery/Development
  • Preliminary Diagnosis
  • Administrative Workflow Assistance
  • Virtual Nursing Assistant
  • Fraud Detection
  • Dosage Error Reduction
  • Others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness)
  • By End Users (On the basis of Revenue)
  • Hospitals/Clinics/Healthcare Providers
  • Medical Devices Companies
  • Pharmaceuticals & Biotechnology Companies
  • Others Including Payers and Other Software Providers
  • By Country (On the basis of Revenue)
  • Japan
  • China
  • Australia
  • India
  • Singapore
  • Rest of APAC


Companies

Companies Covered:

  • IBM
  • NVIDIA Corporation
  • Intel
  • Microsoft Corporation
  • iCarbonX
  • Alphabet Inc.
  • Next IT Verint Corporation
  • Welltok Incorporation
  • Oncora Medical
  • Entilic Incorporation
  • Koninklijke Philips
  • General Vision

The report titled "APAC Healthcare AI Market Outlook to 2025 – By Applications (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction), by Countries, by End Users & by Technologies and Current Investment Scenario" covers market size by revenue generated by Artificial Intelligence providers in Healthcare Market in Asia Pacific region along with market segmentation by Technology (Deep Learning Method, Querying Method, Natural Language Processing and Context Aware Processing), by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others), by End User (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers) and by Country (Japan, China, Australia, India, Singapore and Rest of APAC) for the period 2013-2025. The report also covers emerging growth drivers and trends; innovation, adoption and application gap in comparison to US and Europe; case studies on various healthcare application areas and competitive landscape of players in the market with special focus on IBM, NVIDIA Corporation, Intel, Microsoft Corporation, iCarbonX, Alphabet Inc., Next IT Verint Corporation, Welltok Incorporation, Oncora Medical, Entilic Incorporation, Koninklijke Philips and General Vision.  The interpretation explores investment trends in the market, major funding opportunities by stage, potential markets of investment activity along with future outlook & projections highlighting the major opportunities & cautions to the reader. This report will particularly help the readers to identify the ongoing trends in the industry and anticipated growth in the future depending upon changing industry dynamics in upcoming years.
APAC AI in Healthcare Market Summary
Market Overview: APAC AI in Healthcare Market has witnessed strong growth owing to rising number of collaborations, investments and partnerships among hospitals, healthcare providers, AI developers and medical device manufacturers; improved accuracy and predictive capacity of AI powered devices, limited number of skilled healthcare professionals in developing countries such as China and India and over the years advancements in processor design and manufacturing techniques across Asia Pacific region. The market size by revenue witnessed a five year CAGR of close to 56% during the review period (2013-2018) due to the combined effect of these factors. The market is currently placed in high growth stage with strong possibility for further innovations and developments at a faster pace with positive trends expected in the industry.

Market Segmentation
s
By Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing)
APAC AI in Healthcare Market incorporates various technologies such as Deep Learning Method, Natural Language Processing and Context Aware Processing. In 2018, majority of the revenue was contributed by Natural Language Processing method owing to its high application in health robots, hospital management systems and decision making services. This was followed by Querying Method which contributed second highest share to the total revenue in 2018. The remaining share was contributed by Context Aware Processing and Deep Learning Method.
By Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others)
APAC AI in Healthcare Market application areas include Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development, Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others (including Fitness & Wellness Tech Devices). In 2018, highest contribution to overall revenue was made by machine/robot assisted medical procedures owing to high robot costs and limited technical capabilities in Asia Pacific region. Second highest contribution to revenue was made by clinical trial & drug discovery/development and preliminary diagnosis owing to its application in multiple fields. This was followed by administrative workflow assistance, virtual nursing assistant, fraud detection, dosage error reduction and others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness).
By End Users (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers)
APAC AI in Healthcare majorly includes four categories of end users including Hospitals/Clinics/Healthcare Providers, Medical Devices Manufacturers or Companies, Pharmaceuticals & Biotechnology Companies and Others, including Payers and Other Software Providers. In 2018, highest proportion of revenue was contributed by Hospitals/Clinics/Healthcare Providers. Factors driving demand in Hospitals and healthcare centers includes high application of AI in overall management of hospitals through usage of several healthcare management software, high adoption of AI in medical devices and machineries used in hospitals, AI being used for mundane tasks in order to reduce workload of doctors, nurses and others. Medical device manufacturers were seen to be the second highest contributor to revenue in 2018. This was followed by Pharmaceuticals & Biotechnology Companies and Others Including Payers and Other Software Providers.
By Country (Japan, China, Australia, India, Singapore and Rest of APAC)
In global scenario, Asia Pacific region is one of the fastest growing regions with presence of leading companies such as IBM, Microsoft, Google and others. In terms of technological developments and innovations, Japan and China are seen to be fastest growing nations in Asia Pacific region. In 2018, Japan contributed highest revenue to the overall revenue generated in AI healthcare market in Asia Pacific region followed by China with very low difference. Other APAC countries such as Thailand and Malaysia were noted to be the third largest revenue contributors in the region owing to factors such as high AI adoption rate in these countries. This was followed by Australia, India and Singapore.
Competitive Landscape in APAC AI in Healthcare Market: The nature of APAC AI in Healthcare Market differs on the basis of the number of players and share in overall revenue generation. When analyzing on the basis of number of players, the market is considered to be fragmented with high number of small and large players present in the market though only few big players occupy the highest revenue share. These include companies such as IBM, Microsoft, iCarbonX, Alphabet Inc. and others. The major competing parameters in the market include ease of AI integration in current systems and devices, customization services offered in AI application software, accessibility and number of patents earned.
APAC AI in Healthcare Market Future Outlook and Projections: Over the forecast period 2019-2025, APAC AI Healthcare Market is predicted to grow at a CAGR of close to 54% in terms of revenue. Major growth in coming years will be supported by factors such as supportive legislative regulations, high investments by new startups and already established companies looking for expansion, innovations and developments for new products and others.
Key Segments Covered in APAC AI in Healthcare Market
  • By Technology(On the basis of Revenue)
  • Deep Learning Method
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing
  • By Application (On the basis of Revenue)
  • Machine/Robot Assisted Medical Procedures
  • Clinical Trial & Drug Discovery/Development
  • Preliminary Diagnosis
  • Administrative Workflow Assistance
  • Virtual Nursing Assistant
  • Fraud Detection
  • Dosage Error Reduction
  • Others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness)
  • By End Users (On the basis of Revenue)
  • Hospitals/Clinics/Healthcare Providers
  • Medical Devices Companies
  • Pharmaceuticals & Biotechnology Companies
  • Others Including Payers and Other Software Providers
  • By Country (On the basis of Revenue)
  • Japan
  • China
  • Australia
  • India
  • Singapore
  • Rest of APAC
Key Target Audience
  • Hospitals, Clinics and Healthcare Providers
  • Medical Device Manufacturers
  • Insurance Providers
  • AI Developers
  • Healthcare Software Providers
  • Pharmaceuticals & Biotechnology Companies
  • Research Institutes
  • Venture Capital Firms
Time Period Captured in the Report:
  • Historical Period – 2013-2018
  • Forecast Period – 2019-2025
Companies Covered:
  • IBM
  • NVIDIA Corporation
  • Intel
  • Microsoft Corporation
  • iCarbonX
  • Alphabet Inc.
  • Next IT Verint Corporation
  • Welltok Incorporation
  • Oncora Medical
  • Entilic Incorporation
  • Koninklijke Philips
  • General Vision
Key Topics Covered in the Report
  • APAC AI in Healthcare Value Chain & Ecosystem
  • APAC AI in Healthcare Market Size Analysis, 2013– 2018
  • APAC Healthcare AI Market Segmentation, 2013-2025E
  • Innovation, Adoption and Application Gap - Comparison of APAC with Europe & US
  • Regulatory Framework in APAC AI in Healthcare Market
  • Case Studies on Various Application Areas of AI in Healthcare, 2013-2018
  • Competitive Landscape in APAC AI in Healthcare Market, 2018
  • Company Profiling Of Major Players Operating in APAC Artificial Intelligence in Healthcare Market
  • Investment Scenario- Healthcare in AI, 2018
  • Taxonomy
  • Markets of Investment Activity
  • Future Market Sizing Analysis, 2019E-2025E
READ MORE

Scope

1. Executive Summary
Market Size and Overview
Market Segmentation
Competitive Analysis
Future Projections

2. Research Methodology
2.1. Market Definitions
2.2. Abbreviations
2.3. Consolidated Research Approach
2.4. Market Sizing Approach
2.5. Market Limitations
2.6. Final Conclusion

3. APAC AI in Healthcare Value Chain & Ecosystem
Market Ecosystem, 2018
Market Value Chain(Inter-Entity Relationship Analysis), 2018

4. APAC AI in Healthcare Market Size Analysis, 2013– 2018
Key Takeaways

5. APAC Healthcare AI Market Segmentation, 2013-2025E
5.1. By Application, 2013-2025E
5.2. By End User (Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals, Biotechnology Companies & Others), 2013-2025E
5.3. By Country (Japan, China, Australia, India, Singapore & Rest of APAC), 2013-2023E
India Healthcare AI Market, 2013-2023E
Singapore Healthcare AI Market, 2013-2023E
Japan Healthcare AI Market, 2013-2023E
China Healthcare AI Market, 2013-2023E
Australia Healthcare AI Market, 2013-2023E
OTher APAC Countries AI in Healthcare MArket, 2013-2023E
5.4. By Technology (Deep Learning, Querying Method, Natural Language Processing & Context Aware Processing), 2013-2023E
Deep Learning
Querying Method
Natural Language Processing
Context Awareness Processing

6. Innovation, Adoption and Application Gap - Comparison of APAC with Europe & US
7. Regulatory Framework in APAC AI in Healthcare Market

8. Case Studies on Various Application Areas of AI in Healthcare, 2013-2018

8.1. Automated Report Generating Model
8.2. Hospital Patient Management System
8.3. Digital Pathology
8.4. Face Recognition in Healthcare
8.5. Converting Paperwork into Digital Data
8.6. Healthcare Vascular Disrupting Agent
8.7. Counterfeit Medicine Analysis
8.8. Medical Treatment Recommendations
8.9. Predicting Illness and Patient Outcomes
8.10. Text Classification and Mining for Biomedical Literature
8.11. Portable Ultrasound Devices
8.12. Methods of Monitoring Vitals
8.13. Drug Discovery
8.14. Biomarker Discovery

9. Competitive Landscape in APAC AI in Healthcare Market, 2018
9.1. Competition Scenario in APAC AI in Healthcare Market, 2018
9.2. Strengths and Weaknesses Of Major Players, 2018

10. Company Profiling of Major Players Operating in APAC Artificial Intelligence in Healthcare Market (Including Company Overview, Software Offerings, Applications, Business Strategies, Partnerships, Products Offered, Watson in APAC, Challenges Faced etc.)
10.1.1. IBM
10.2. NVIDIA Corporation
10.3. Intel
10.4. Microsoft Corporation
10.5. iCarbonX
10.6. Alphabet Inc. (Google Inc)
10.7. Next-IT Verint Corporation
10.8. Welltok Incorporation
10.9. Oncora Medical
10.10. Entilic Incorporation
10.11. Koninklijke Philips
10.12. General Vision

11. Investment Sceanrio-Heathcare in AI, 2018
11.1. List of Companies By Public, Acquired and Unicorn, 2018
11.2. Competition Analysis & Investment Outlook by Sector
11.2.1. List of Companies By Biopharma (by Therapy)
11.2.2. List of Companies By Healthcare Analytics
11.2.3. List of Companies By Clinical Analytics
11.2.4. List of Companies By Diagnostics (by Disease)
11.2.5. List of Companies By Consumer HealthTech
11.2.6. List of Companies By Healthcare IT
11.2.7. List of Companies Diagnostics (By Technology)
11.2.8. List of Companies By Medical Devices
11.2.9. List of Companies By Research and Development
11.3. Major Funding By Stage (Late, Early and Seed), June 2017- June 2019
11.4. Investment Trends

12. Healthcare AI Market Mapping
12.1. Biopharma (By Theraphy)
12.2. Healthcare Analytics
12.3. Biopharma (by Disease)
12.4. Diagnostics (By Disease)
12.5. Consumer HealthTech
12.6. By Fitness and Wellness Tech
12.7. By Healthcare IT
12.8. Diagnostics (by Technology)
12.9. By Medical Devices
12.10. Life Sciences Tech
12.11. Biotech R&D
12.12. Biopharma Outsourcing
12.13. Genomics
12.14. Assistive Tech
12.15. Others

13. Markets of Investment Activity
13.1. Suite
13.2. Sequencing Analysis
13.3. Cheminformatics
13.4. Patient Health
13.5. Aging
13.6. AI
13.7. Virtual Care
13.8. Access Solutions
13.9. WorkFlow Optimization
13.10. Disease Agnostic AI

14. Future Market Sizing Analysis, 2019E-2025E
Why AI & What For?
Company Focus by 2025
Disclaimer
Contact Us


List Of Figure

Figure 1-1: APAC AI in Healthcare Market Flow Chart Including Major Market Segments, 2018
Figure 4-1: APAC AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2018
Figure 5-1: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others) on the basis of Revenue, 2013-2018
Figure 5-2: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others) on the basis of Revenue, 2019-2025E
Figure 5-3: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue, 2013-2018
Figure 5-4: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue, 2019-2025E
Figure 5-5: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, and Rest of APAC) on the basis of Revenue, 2013-2018
Figure 5-6: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, and Rest of APAC) on the basis of Revenue, 2019-2023E
Figure 5-7: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, Rest of APAC) on the basis of Revenue, 2019-2023E
Figure 5-8: India AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-9: India AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-10: India AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-11: India AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-12: Singapore AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-13: Singapore AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-14: Singapore AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-15: Singapore AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-16: Japan AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-17: Japan AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-18: Japan AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-19: Japan AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-20: China AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-21: China AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-22: China AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-23: China AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-24: Australia AI in Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-25: Australia AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Figure 5-26: Australia AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Figure 5-27: Australia AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Figure 5-28: Other APAC Countries in AI Healthcare Market Size on the Basis of Revenue in USD Million and Growth Rate in Percentage (%), 2013-2023E
Figure 5-29: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2013-2018
Figure 5-30: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2019E-2025E
Figure 6-1: Comparison Chart Including Proportion of Employment in Global AI Scenarios by Country (USA, China, India, Germany, UK and Others) in Percentage, 2018
Table 7-1: Government Policies/Regulations Affecting APAC AI in Healthcare Market Including Country Wise Analysis, 2018
Figure 10-1: Financial Performance of Intel Corporation on the Basis of Global Market Revenue in USD Million and Growth Rates (%), 2015-2017
Figure 10-2 Intel Corporation Revenue Share by Market Segment, 2017
Figure 10-3: Financial Performance of Microsoft on the Basis of Global Market Revenue in USD Million and Growth Rate in Percentage (%), 2015-2017
Figure 10-4: Financial Performance of Alphabet Inc. on the Basis of Global Market Revenue in USD Million and Growth Rate in Percentage (%), 2015-2017
Figure 10-5: Funding Received by Welltok Incorporation, 2012-2018
Figure 14-1: APAC Healthcare AI Market Future Outlook and Projections by Revenues in USD Million and Growth Rate in Percentage (%), 2019E-2025E


List Of Table

Table 2-1: Abbreviations used in APAC AI in Healthcare Market, 2018
Table 3-1: APAC AI in Healthcare Ecosystem including Entities and Companies Involved, 2018
Table 3-2: APAC AI in Healthcare Market Value Chain Entities including AI Domain Specialists, Solution Enablers– Solution Providers and Industry Specialist, 2013-18
Table 4-1: APAC AI in Healthcare Market Size on the Basis of Revenue Including Market Size (2013-2018) & Players , Shaping-Up APAC in Global AI Healthcare Landscape , Return on Investment , Reasons for Market Growth , Major Mergers & Acquisitions, Adoption/Penetration of AI in Healthcare, Major Market Restraints, Key Highlight Innovations by Companies, AI Technologies for Knowledge Synthesis and Period CAGR, 2013-2018
Table 5-1: APAC AI in Healthcare Market Segmentation by Application on the basis of Revenue including Machine/Robot Assisted Medical Procedures, Virtual Nursing Assistants, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Preliminary Diagnosis, Clinical Trial & Drug Discovery/Development and Others (Health Monitoring apps), 2013-2018
Table 5-2: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development , Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others) on the basis of Revenue in USD Million, 2013-2018
Table 5-3: APAC AI in Healthcare Market Segmentation by Application (Machine/Robot Assisted Medical Procedures, Clinical Trial & Drug Discovery/Development , Preliminary Diagnosis, Administrative Workflow Assistance, Virtual Nursing Assistant, Fraud Detection, Dosage Error Reduction and Others) on the basis of Revenue in USD Million, 2019E-2025E
Table 5-4: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue including Hospitals/Clinics/Healthcare Providers, Medical Devices Companies, Pharmaceuticals & Biotechnology Companies and Others, 2013-2025E
Table 5-5: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue in USD Million, 2013-2018
Table 5-6: APAC AI in Healthcare Market Segmentation by End User on the basis of Revenue in USD Million, 2019-2025E
Table 5-7: APAC AI in Healthcare Market Segmentation by Country (Japan, China, Australia, India, Singapore, Rest of APAC) on the basis of Revenue, 2013-2018
Table 5-8: India AI in Healthcare Market Size and Segmentation including AI in Healthcare, Government Initiatives, Prominent AI startups in India and Challenges, 2013-2023E
Table 5-9: Sales Revenue in USD Million Generated by Prominent Startups in India, FY’16-FY’18
Table 5-10: India AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-11: India AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-12: India AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-13: Singapore AI in Healthcare Market Size and Segmentation including AI Healthcare in Singapore, Products in Pipeline, Problems that will be solved with AI, Major AI companies in Singapore, 2013-2023E
Table 5-14: Singapore AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-15: Singapore AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-16: Singapore in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-17: Japan AI in Healthcare Market Size and Segmentation including AI in Healthcare Overview , Initiatives by Government, Japanese Healthcare AI companies, Leading AI Robots in Japan and Future Developments, 2013-2023E
Table 5-18: Japan AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-19: Japan AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-20: Japan AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-21: China AI in Healthcare Market Size and Segmentation including Overview, Initiatives by Government, Major AI companies in China and Recent Developments, 2013-2023E
Table 5-22: China AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-23: China AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-24: China AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-25: Australia AI in Healthcare Market Segmentation by Technology on the basis of Revenue in USD Million, 2016-2023E
Table 5-26: Australia AI in Healthcare Market Segmentation by Application on the basis of Revenue in USD Million, 2016-2023E
Table 5-27: Australia AI in Healthcare Market Segmentation by End Users on the basis of Revenue in USD Million, 2016-2023E
Table 5-28: Other APAC Countries AI in Healthcare Market Size and Segmentation including Overview, Recent Developments, Major Healthtech Startups, Investments, Market Revenue and Future Market Revenue, 2013-2023E
Table 5-29: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2016-2018
Table 5-30: APAC AI in Healthcare Market Segmentation by Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) on the basis of Revenue, 2019E-25E
Table 5-31: Deep Learning Method including Role in Healthcare, Application Areas, Benefits of using Deep Learning, Market Revenue and Future, 2013-2025E
Table 5-32: Querying Method including Overview, Solutions Provided, Market Revenue, System Providers and Future, 2013-2025E
Table 5-33: Natural Language Processing Method including Overview, Application Areas, NLP Softwares Available, NLP Used Cases, Market Revenue, Challenges of Adopting NLP tools and Future, 2013-2025E
Table 5-34: Context Awareness Processing Method including Overview and Applications, 2013-2025E
Table 6-1: Comparison between US & Europe and APAC on the basis of Positioning APAC V/S US & Europe, Research & Development and Innovation, Investments and Adoption, 2018
Table 6-2: Comparison Chart Including Proportion of Employment in Global AI Scenarios by Country (USA, China, India, Germany, UK and Others) in Numbers, 2018
Table 8-1: Automated Report Generating Model including Need for Developing Automated Report Generating Technique, Areas of Application, Imaging Equipment Vendors, Current Technologies Used and Startups Involved in APAC, 2018
Table 8-2: Hospital Management System including Overview, Challenges Faced, Available Softwares, Other Startups Involved in APAC, Demanded Features and Future Opportunities, 2018
Table 8-3: Digital Pathology including Overview, Companies, Software, Evolution of Pathology, Products, End Users, Applications and Future Innovations, 2018
Table 8-4: Face Recognition Systems including Need for Face Recognition Technology, Areas of Application, Companies Involved, Challenges Faced, Cases where FRT has been used and Future Opportunities, 2018
Table 8-5: Converting Paperwork into Digital Data including Softwares Available, Other Software Developers, Software Selection Parameters, Benefits and Disadvantages of using EMR system, 2018
Table 8-6: Healthcare Vascular Disrupting Agent including what are Vascular Disrupting Agents (VDAs)?, Ligand-directed VDAs, Small Molecule VDAs, Applications, Available VDAs, VDAs in Development and Results of using VDAs, 2018
Table 8-7: Counterfeit Medicine Analysis including Overview and Technologies Used, 2018
Table 8-8: Medical Treatment Recommendations including Softwares Used, Project’s in Pipeline, Complementing Human Decision Making and Challenges Faced, 2018
Table 8-9: Predicting Illness and Patient Outcomes including Overview, Benefits, Applications and Technologies in Use and Predictive Analytics Presentation, 2018
Table 8-10: Text Classification and Mining for Biomedical Literature including Overview, Benefits, Applications and Technologies in Use, 2018
Table 8-11: Portable Ultrasound Devices including Overview, Growth Factors, Portable Models Available, Emerging Startups, Price Range, Challenges and Future Development Areas, 2018
Table 8-12: Methods of Monitoring Vitals including Overview, Monitoring Devices Types and Companies & Products, 2018
Table 8-13: Drug Discovery including Need, Software, Companies, Innovation of AI in Drug Discovery, Advantages and Challenges, 2018
Table 8-14: Biomarker Discovery including Classifying Biomarkers, Imaging Biomarker Roadmap, Parties Involved in Biomarker Discovery and Application, 2018
Table 9-1: APAC AI in Healthcare Market Competitive Scenario Including Market Nature, Major Barriers to Entry, Challenges Faced by Existing Players and Major Competing Parameters, 2018
Table 9-2: Competitive Strengths, Weaknesses of Major Companies including IBM, NVIDIA Corporation, Intel Corporation, Microsoft Corporation, Alphabet Inc., iCarbonX, 2018
Table 10-1: Company Profile of IBM including Company Overview, Software Offerings, Applications, Business Strategies, Partnerships, Products Offered, Watson in APAC, Challenges Faced, 2018
Table 10-2: Company Profile of NVIDIA Corporation including Company Overview, Business Segments, NVIDIA CLARA, Business Strategies, Company Financials and Recent Collaborations, 2018
Table 10-3: Technology Stack followed by NVIDIA Corporation, 2018
Table 10-4: Company Profile of Intel Including Company Overview, Intel Pharma Analytics Platform, Collaborations, Applications, Technology Stack Used, Company Financials and Partnerships & Collaborations, 2018
Table 10-5: Company Profile of Microsoft Corporation including Company Overview, Key Strategic Moves & Developments, Microsoft in APAC and Future Plans, 2018
Table 10-6: Microsoft Product Portfolio, 2018
Table 10-7: Company Profile of iCarbonX including Company Overview, Awards & Recognitions, Acquisitions & Collaborations and Future Developments, 2018
Table 10-8: iCarbonX Product Portfolio, 2018
Table 10-9: Company Profile of Alphabet Inc. Including Company Overview, Verily, Calico, Acquisitions & Collaborations, Google Healthcare AI in APAC, Projects in Pipeline, Business Strategies, Powering Data Infrastructure and Company Financials, 2018
Table 10-10: Alphabet Inc’s Product Portfolio, 2018
Table 10-11: Company Profile of Next IT Verint Corporation. Including Company Overview, Technologies, Services and Recent Developments, 2018
Table 10-12: Company Profile of Welltok Incorporation including Company Overview, Product and Services and Key Strategic Moves, 2018
Table 10-13 Company Profile of Oncora Medical including Company Overview, Precision Radiation Oncology Platform, Technologies and Recent Developments, 2018
Table 10-14: Company Profile of Entilic Incorporation including Company Overview, X-ray and Imaging and Key Strategic Moves, 2018
Table 10-15: Company Profile of Koninklijke Philips including Company Overview, Acquisitions, Company Financials and Rewards and Recognition, 2018
Table 10-16: Product Portfolio of Koninklijke Philips, 2018
Table 10-17: Company Profile of General Vision including Company Overview, Business Strategy, AI Platforms, Pricing Structure and Recent Developments, 2018
Table 11-1: List of Companies (Public, Acquired and Unicorn) including Year of Establishment, Location and Funding, in AI Healthcare, 2018
Table 11-2: List of Companies by Biopharma (by Therapy) including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-3: List of Companies by Healthcare Analytics including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-4: List of Companies by Clinical Analytics including Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-5: List of Companies by Diagnostics (by Disease) including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-6: List of Companies by Consumer HealthTech including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-7: List of Companies by Healthcare IT including Segment, Year of Establishment, Location, Funding, Description, Stage and Major Investors
Table 11-8: List of Companies by Diagnostics (By Technology) including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-9: List of Companies by Medical Devices including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-10: List of Companies by Research and Development including Segment, Year of Establishment, Description, Stage and Major Investors
Table 11-11: Major Funding by Stage (Late, Early and Seed) in AI in Healthcare, June, 2017-June 2019
Table 11-12: Top Ecosystem Investors in AI in Healthcare, (Jun 2014-Jun 2019)
Table 11-13: Investors in Public companies, Mega Acquisitions, Unicorns and Soonicorns in AI in Healthcare by stage of entry (Seed, Early and Late)
Table 11-14: Investors with maximum number of Public companies, Mega Acquisitions and Unicorn companies in AI in Healthcare
Table 12-1: Taxonomy in Biopharma (By Theraphy) including description, total funding, investment and notable companies, 2018
Table 12-2: Taxonomy in Healthcare Analytics including description, total funding, investment and notable companies, 2018
Table 12-3: Taxonomy in Biopharma (by Disease) including description, total funding, investment and notable companies, 2018
Table 12-4: Taxonomy in Diagnostics (By Disease) including description, total funding, investment and notable companies
Table 12-5: Taxonomy in Consumer HealthTech including description, total funding, investment and notable companies, 2018
Table 12-6: Taxonomy in Fitness and Wellness Tech including description, total funding, investment and notable companies, 2018
Table 12-7: Taxonomy in Healthcare IT including description, total funding, investment and notable companies
Table 12-8: Taxonomy in Diagnostics (by Technology) including description, total funding, investment and notable companies, 2018
Table 12-9: Taxonomy in Medical Devices including description, total funding, investment and notable companies, 2018
Table 12-10: Taxonomy in Life Sciences Tech including description, total funding, investment and notable companies, 2018
Table 12-11: Taxonomy in Biotech R&D including description, total funding, investment and notable companies, 2018
Table 12-12: Taxonomy in Biopharma Outsourcing including description, total funding, investment and notable companies, 2018
Table 12-13: Taxonomy in Genomics including description, total funding, investment and notable companies, 2018
Table 12-14: Taxonomy in Assistive Tech including description, total funding, investment and notable companies, 2018
Table 12-15: Taxonomy in Others (Nutraceutical Ingredients and Generics & Biosimilars) including description, total funding, investment and notable companies, 2018
Table 13-1: Investment Activity for/in Suite including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-2: Top Companies in Suite including Year, Location, Stage and Funding
Table 13-3: Investment Activity for Sequencing Analysis including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-4: Top Companies in Sequencing Analysis including Year, Location, Stage and Funding, 2018
Table 13-5: Investment Activity for Cheminformatics including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-6: Top Companies in Cheminformatics including Year, Location, Stage and Funding
Table 13-7: Investment Activity for Patient Health including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019

Table 13-8: Top Companies in Patient Health including Year, Location, Stage and Funding
Table 13-9: Investment Activity for Aging including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-10: Top Companies in Aging including Year, Location, Stage and Funding
Table 13-11: Investment Activity for AI including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-12: Top Companies in AI including Year, Location, Stage and Funding
Table 13-13: Investment Activity for Virtual Care including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-14: Top Companies in Virtual Care including Year, Location, Stage and Funding
Table 13-15: Investment Activity for Access Solutions including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-16: Top Companies in Access Solutions including Year, Location, Stage and Funding
Table 13-17: Investment Activity for WorkFlow Optimization including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-18: Top Companies in WorkFlow Optimization including Year, Location, Stage and Funding
Table 13-19: Investment Activity for Disease Agnostic AI including Key Market Statistics, Top Companies, Most Active investors, Recent Investments, Exits and News, 2018-2019
Table 13-20: Top Companies in Disease Agnostic AI including Year, Location, Stage and Funding
Table 14-1: APAC Healthcare AI Market Future Outlook and Projections by Revenues, Including Key Future Developments & Reasons for Change and Future Growth Opportunities, 2018E-2025E

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Products

Key Segments Covered in APAC AI in Healthcare Market

  • By Technology(On the basis of Revenue)
  • Deep Learning Method
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing
  • By Application (On the basis of Revenue)
  • Machine/Robot Assisted Medical Procedures
  • Clinical Trial & Drug Discovery/Development
  • Preliminary Diagnosis
  • Administrative Workflow Assistance
  • Virtual Nursing Assistant
  • Fraud Detection
  • Dosage Error Reduction
  • Others (including Fitness & Wellness Tech (Physical Fitness, Mind & Body Wellness)
  • By End Users (On the basis of Revenue)
  • Hospitals/Clinics/Healthcare Providers
  • Medical Devices Companies
  • Pharmaceuticals & Biotechnology Companies
  • Others Including Payers and Other Software Providers
  • By Country (On the basis of Revenue)
  • Japan
  • China
  • Australia
  • India
  • Singapore
  • Rest of APAC


Companies

Companies Covered:

  • IBM
  • NVIDIA Corporation
  • Intel
  • Microsoft Corporation
  • iCarbonX
  • Alphabet Inc.
  • Next IT Verint Corporation
  • Welltok Incorporation
  • Oncora Medical
  • Entilic Incorporation
  • Koninklijke Philips
  • General Vision