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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

Region:Asia

Author(s):Vibhuti Sharma, Rain Bakshi

Product Code:KR862

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Published On

August 2019

Total pages

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About the Report

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 Segmentations

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 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

Products

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

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 Covered:

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

1. Executive Summary

1.1. Market Size and Overview

1.2. Market Segmentation

1.3. Competitive Analysis

1.4. 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

3.1. Market Ecosystem, 2018

3.2. 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

14.1. Why AI & What For?

14.2. Company Focus by 2025

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