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Artificial Intelligence in Medicine Market by Product Type (Hardware, Software, and Services), Technology (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing), and Application (Drug Discovery & Repurposing, Clinical Research Trial, Personalized Medicine, and Others) - Global Opportunity Analysis and Industry Forecast, 2018-2025

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Pages: 231
Jul 2018 | 1411 Views
 
Author's : Tenzin Kunsel and Garima Chandra
Tables: 116
Charts: 36
 

Artificial Intelligence in Medicine Market Overview:

The global artificial intelligence in medicines market was valued at $719 million in 2017 and is estimated to reach $18,119 million at a CAGR of 49.6% from 2018 to 2025. Artificial intelligence (AI) in medicine is used to analyze complex medical data by approximating human cognition with the help of algorithms and software. The development of novel pharmaceuticals and biologicals through clinical trials can take more than a decade and cost billions of dollars during that tenure period. AI technology can help to make this process faster and cheaper, which in turn is expected to help improve the efficiency of pharmaceutical and biotechnology companies.

The major factors that drive the growth of the AI in medicine market include dearth of skilled healthcare professionals and increase in the processing power of AI systems that is estimated to help improve the efficiency of drug discovery and management of clinical trials. In addition, the growth in importance of precision medicine and rise in funding for the R&D activities of the use of AI technology in the field of medicine are anticipated to help boost the market growth. However, limited acceptance from healthcare professionals and limitations of AI decision-making can hamper the market growth. Moreover, untapped market opportunities available in developing regions such as India and China help open new avenues for the market growth during the forecast period.

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Product Type Segment Review

Based on the product type, the market is segmented into hardware, software, and service. The software segment occupied the highest share in 2017, owing to continuous software innovation that caters to the requirement in the healthcare sector. The hardware segment is projected to witness the highest growth rate during the forecast period.

Technology Segment Review

Based on technology, it is classified into deep learning, querying method, natural language processing, and context aware processing. The natural language processing segment accounted for the highest share in 2017 as this technology in frequently used during various applications such as drug discovery and clinical trial identification.

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Key Geographical Segment

As per region, the artificial intelligence in medicine market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. North America accounted for the largest market share in 2017 and is expected to retain its dominance throughout the forecast period owing to the availability of capital investments and increase in adoption of AI technology.

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The key players operating in the global artificial intelligence in medicine market include Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., BioXcel Corporation, and Berg Health.

Other prominent players in the value chain include InSilico Medicine, Inc., Globavir Biosciences, Inc., GNS Healthcare, Flatiron Health, Benevolent AI, Atomwise, Verge Genomics, Cloud Pharmaceuticals, and Recursion Pharmaceuticals.

Key Benefits for Stakeholders

  • This report entails a detailed quantitative analysis of the current market trends from 2017 to 2025 to identify the prevailing opportunities.
  • Market estimations are based on a comprehensive analysis of the key developments in the industry.
  • The global market is comprehensively analyzed with respect to product type, technology, application, and region.
  • In-depth analysis based on region assists to understand the regional market to assist in strategic business planning.
  • The development strategies adopted by key manufacturers are enlisted to understand the competitive scenario of the market.

Artificial Intelligence in Medicine Market Key Segments:

By Product Type

  • Hardware
  • Software
  • Service

By Technology

  • Deep Learning
  • Querying Method
  • Natural Language Processing
  • Context Aware Processing

By Application

  • Drug Discovery & Repurposing (Preclinical Phase)
  • Clinical Research Trial
  • Personalized Medicine
  • Others

By Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • Australia
    • India
    • South Korea
    • Taiwan
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • Saudi Arabia
    • South Africa
    • Rest of LAMEA
 

Chapter: 1: INTRODUCTION

1.1. Report description
1.2. Key benefits for stakeholders
1.3. Key market segments
1.4. Research methodology

1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools and models

Chapter: 2: EXECUTIVE SUMMARY

2.1. CXO perspective

Chapter: 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings

3.2.1. Top investment pockets
3.2.2. Top winning strategies

3.3. Porter’s five forces analysis
3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Increase in processing power of AI systems leading to enhanced AI capabilities
3.4.1.2. Dearth of skilled healthcare professionals
3.4.1.3. Growing importance of precision medicine

3.4.2. Restraints

3.4.2.1. Limitations of AI decision-making
3.4.2.2. Limited acceptance from healthcare professionals

3.4.3. Opportunities

3.4.3.1. Untapped market in developing regions

Chapter: 4: ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE

4.1. Overview

4.1.1. Market size and forecast

4.2. Hardware

4.2.1. Key market trends, growth factors and growth opportunities
4.2.2. Market size and forecast
4.2.3. Market analysis, by country

4.3. Software

4.3.1. Key market trends, growth factors and growth opportunities
4.3.2. Market size and forecast
4.3.3. Market analysis, by country

4.4. Services

4.4.1. Key market trends, growth factors and opportunities
4.4.2. Market size and forecast
4.4.3. Market analysis, by country

Chapter: 5: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY

5.1. Overview

5.1.1. Market size and forecast

5.2. Deep learning

5.2.1. Market size and forecast
5.2.2. Market analysis, by country

5.3. Querying method

5.3.1. Market size and forecast
5.3.2. Market analysis, by country

5.4. Natural language processing

5.4.1. Market size and forecast
5.4.2. Market analysis, by country

5.5. Context aware processing

5.5.1. Market size and forecast
5.5.2. Market analysis, by country

Chapter: 6: ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION

6.1. Overview

6.1.1. Market size and forecast

6.2. Drug Discovery

6.2.1. Market size and forecast
6.2.2. Market analysis, by country

6.3. Clinical Research Trial

6.3.1. Market size and forecast
6.3.2. Market analysis, by country

6.4. Personalized medicine

6.4.1. Market size and forecast
6.4.2. Market analysis, by country

6.5. Others

6.5.1. Market size and forecast
6.5.2. Market analysis, by country

Chapter: 7: ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY REGION

7.1. Overview

7.1.1. Market size and forecast

7.2. North America

7.2.1. Key market trends, growth factors and opportunities
7.2.2. North America market size and forecast, by product type
7.2.3. North America market size and forecast, by technology
7.2.4. North America market size and forecast, by application
7.2.5. North America market size and forecast, by country

7.2.5.1. U.S. market size and forecast, by product type
7.2.5.2. U.S. market size and forecast, by technology
7.2.5.3. U.S. market size and forecast, by application
7.2.5.4. Canada market size and forecast, by product type
7.2.5.5. Canada market size and forecast, by technology
7.2.5.6. Canada market size and forecast, by application
7.2.5.7. Mexico market size and forecast, by product type
7.2.5.8. Mexico market size and forecast, by technology
7.2.5.9. Mexico market size and forecast, by application

7.3. Europe

7.3.1. Key market trends, growth factors and opportunities
7.3.2. Europe market size and forecast, by product type
7.3.3. Europe market size and forecast, by technology
7.3.4. Europe market size and forecast, by application
7.3.5. Europe market size and forecast, by country

7.3.5.1. Germany market size and forecast, by product type
7.3.5.2. Germany market size and forecast, by technology
7.3.5.3. Germany market size and forecast, by application
7.3.5.4. France market size and forecast, by product type
7.3.5.5. France market size and forecast, by technology
7.3.5.6. France market size and forecast, by application
7.3.5.7. UK market size and forecast, by product type
7.3.5.8. UK market size and forecast, by technology
7.3.5.9. UK market size and forecast, by application
7.3.5.10. Italy market size and forecast, by product type
7.3.5.11. Italy market size and forecast, by technology
7.3.5.12. Italy market size and forecast, by application
7.3.5.13. Spain market size and forecast, by product type
7.3.5.14. Spain market size and forecast, by technology
7.3.5.15. Spain market size and forecast, by application
7.3.5.16. Rest of Europe market size and forecast, by product type
7.3.5.17. Rest of Europe market size and forecast, by technology
7.3.5.18. Rest of Europe market size and forecast, by application

7.4. Asia-Pacific

7.4.1. Key market trends, growth factors and opportunities
7.4.2. Asia-Pacific market size and forecast, by product type
7.4.3. Asia-Pacific market size and forecast, by technology
7.4.4. Asia-Pacific market size and forecast, by application
7.4.5. Asia-Pacific market size and forecast, by country

7.4.5.1. Japan market size and forecast, by product type
7.4.5.2. Japan market size and forecast, by technology
7.4.5.3. Japan market size and forecast, by application
7.4.5.4. China market size and forecast, by product type
7.4.5.5. China market size and forecast, by technology
7.4.5.6. China market size and forecast, by application
7.4.5.7. Australia market size and forecast, by product type
7.4.5.8. Australia market size and forecast, by technology
7.4.5.9. Australia market size and forecast, by application
7.4.5.10. India market size and forecast, by product type
7.4.5.11. India market size and forecast, by technology
7.4.5.12. India market size and forecast, by application
7.4.5.13. South Korea market size and forecast, by product type
7.4.5.14. South Korea market size and forecast, by technology
7.4.5.15. South Korea market size and forecast, by application
7.4.5.16. Taiwan market size and forecast, by product type
7.4.5.17. Taiwan market size and forecast, by technology
7.4.5.18. Taiwan market size and forecast, by application
7.4.5.19. Rest of Asia-Pacific market size and forecast, by product type
7.4.5.20. Rest of Asia-Pacific market size and forecast, by technology
7.4.5.21. Rest of Asia-Pacific market size and forecast, by application

7.5. LAMEA

7.5.1. Key market trends, growth factors, and opportunities
7.5.2. LAMEA market size and forecast, by product type
7.5.3. LAMEA market size and forecast, by technology
7.5.4. LAMEA market size and forecast, by application
7.5.5. LAMEA market size and forecast, by country

7.5.5.1. Brazil market size and forecast, by product type
7.5.5.2. Brazil market size and forecast, by technology
7.5.5.3. Brazil market size and forecast, by application
7.5.5.4. Saudi Arabia market size and forecast, by product type
7.5.5.5. Saudi Arabia market size and forecast, by technology
7.5.5.6. Saudi Arabia market size and forecast, by application
7.5.5.7. South Africa market size and forecast, by product type
7.5.5.8. South Africa market size and forecast, by technology
7.5.5.9. South Africa market size and forecast, by application
7.5.5.10. Rest of LAMEA market size and forecast, by product type
7.5.5.11. Rest of LAMEA market size and forecast, by technology
7.5.5.12. Rest of LAMEA market size and forecast, by application

Chapter: 8: COMPANY PROFILES

8.1. Alphabet Inc. (Google Inc.)

8.1.1. Company overview
8.1.2. Company snapshot
8.1.3. Operating business segments
8.1.4. Product portfolio
8.1.5. Business performance
8.1.6. Key strategic moves and developments

8.2. Berg Health

8.2.1. Company overview
8.2.2. Company snapshot
8.2.3. Product portfolio
8.2.4. Key strategic moves and developments

8.3. BioXcel Corporation

8.3.1. Company overview
8.3.2. Company snapshot
8.3.3. Product portfolio

8.4. Enlitic Inc.

8.4.1. Company overview
8.4.2. Company snapshot
8.4.3. Product portfolio
8.4.4. Key strategic moves and developments

8.5. General Vision

8.5.1. Company overview
8.5.2. Company snapshot
8.5.3. Operating business segments
8.5.4. Product portfolio
8.5.5. Key strategic moves and developments

8.6. IBM Corporation

8.6.1. Company overview
8.6.2. Company snapshot
8.6.3. Operating business segments
8.6.4. Product portfolio
8.6.5. Business performance
8.6.6. Key strategic moves and developments

8.7. Intel Corporation

8.7.1. Company overview
8.7.2. Company snapshot
8.7.3. Operating business segments
8.7.4. Product portfolio
8.7.5. Business performance
8.7.6. Key strategic moves and developments

8.8. Microsoft Corporation

8.8.1. Company overview
8.8.2. Company snapshot
8.8.3. Operating business segments
8.8.4. Product portfolio
8.8.5. Business performance
8.8.6. Key strategic moves and developments

8.9. Nvidia Corporation

8.9.1. Company overview
8.9.2. Company snapshot
8.9.3. Operating business segments
8.9.4. Product portfolio
8.9.5. Business performance
8.9.6. Key strategic moves and developments

8.10. Welltok Inc.

8.10.1. Company overview
8.10.2. Company snapshot
8.10.3. Operating business segments
8.10.4. Product portfolio
8.10.5. Key strategic moves and developments

LIST OF TABLES

TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 02. ARTIFICIAL INTELLIGENCE HARDWARE IN MEDICINE MARKET, BY REGION, 2017–2025 ($MILLION)
TABLE 03. ARTIFICIAL INTELLIGENCE SOFTWARE IN MEDICINE MARKET, BY REGION, 2017–2025 ($MILLION)
TABLE 04. ARTIFICIAL INTELLIGENCE SERVICES IN MEDICINE MARKET, BY REGION, 2017–2025 ($MILLION)
TABLE 05. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 06. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DEEP LEARNING, BY REGION, 2017–2025 ($MILLION)
TABLE 07. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR QUERYING METHOD, BY REGION, 2017–2025 ($MILLION)
TABLE 08. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2017–2025 ($MILLION)
TABLE 09. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CONTEXT AWARE PROCESSING, BY REGION, 2017–2025 ($MILLION)
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR DRUG DISCOVERY, BY REGION, 2017–2025 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR CLINICAL RESEARCH TRIAL, BY REGION, 2017–2025 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR PERSONALIZED MEDICINE, BY REGION, 2017–2025 ($MILLION)
TABLE 14. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR OTHER MEDICINE APPLICATIONS, BY REGION, 2017–2025 ($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY REGION, 2017–2025 ($MILLION)
TABLE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 17. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 18. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 19. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 20. U.S. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 21. U.S. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 22. U.S. ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 23. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 24. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 25. CANADA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 26. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 27. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 28. MEXICO ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 29. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 30. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 31. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 32. EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 33. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 34. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 35. GERMANY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 36. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 37. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 38. FRANCE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 39. UK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 40. UK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 41. UK ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 42. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 43. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 44. ITALY ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 45. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 46. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 47. SPAIN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 48. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 49. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 50. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 52. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 53. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 54. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 55. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 56. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 57. JAPAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 58. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 59. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 60. CHINA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 61. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 62. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 63. AUSTRALIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 64. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 65. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 66. INDIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 67. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 68. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 69. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 70. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 71. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 72. TAIWAN ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 73. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 74. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 75. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 76. LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 77. LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 78. LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 79. LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY COUNTRY, 2017–2025 ($MILLION)
TABLE 80. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 81. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 82. BRAZIL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 83. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 84. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 85. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 86. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 87. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 88. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 89. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY PRODUCT TYPE, 2017–2025 ($MILLION)
TABLE 90. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY TECHNOLOGY, 2017–2025 ($MILLION)
TABLE 91. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET, BY APPLICATION, 2017–2025 ($MILLION)
TABLE 92. ALPHABET INC.: COMPANY SNAPSHOT
TABLE 93. ALPHABET INC.: OPERATING SEGMENTS
TABLE 94. ALPHABET INC.: PRODUCT PORTFOLIO
TABLE 95. BERG HEALTH: COMPANY SNAPSHOT
TABLE 96. BERG HEALTH: PRODUCT PORTFOLIO
TABLE 97. BIOXCEL: COMPANY SNAPSHOT
TABLE 98. ENLITIC: COMPANY SNAPSHOT
TABLE 99. ENLITIC: PRODUCT PORTFOLIO
TABLE 100. GENERAL VISION: COMPANY SNAPSHOT
TABLE 101. GENERAL VISION: THREE TECHNOLOGIES
TABLE 102. GENERAL VISION: PRODUCT PORTFOLIO
TABLE 103. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 104. IBM: OPERATING SEGMENTS
TABLE 105. IBM: PRODUCT PORTFOLIO
TABLE 106. INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 107. INTEL CORPORATION: OPERATING SEGMENTS
TABLE 108. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 109. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 110. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 111. NVIDIA: COMPANY SNAPSHOT
TABLE 112. NVIDIA: OPERATING SEGMENTS
TABLE 113. NVIDIA: PRODUCT PORTFOLIO
TABLE 114. WELLTOK: COMPANY SNAPSHOT
TABLE 115. WELLTOK: PRODUCT CATEGORIES
TABLE 116. WELLTOK: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET SEGMENTATION
FIGURE 02. TOP INVESTMENT POCKETS
FIGURE 03. TOP WINNING STRATEGIES, BY YEAR, 2015–2018*
FIGURE 04. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2015–2018* (%)
FIGURE 05. TOP WINNING STRATEGIES, BY COMPANY, 2015–2018*
FIGURE 06. LOW BARGAINING POWER OF BUYERS
FIGURE 07. HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 08. HIGH THREAT OF NEW ENTRANTS
FIGURE 09. LOW THREAT OF SUBSTITUTION
FIGURE 10. HIGH COMPETITIVE RIVALRY
FIGURE 11. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE HARDWARE IN MEDICINE MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE SOFTWARE IN MEDICINE MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE SERVICES IN MEDICINE MARKET, BY COUNTRY, 2017 & 2025 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DEEP LEARNING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR QUERYING METHOD, BY COUNTRY, 2017 & 2025 (%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CONTEXT AWARE PROCESSING, BY COUNTRY, 2017 & 2025 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR DRUG DISCOVERY, BY COUNTRY, 2017 & 2025 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR CLINICAL RESEARCH TRIAL, BY COUNTRY, 2017 & 2025 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR PERSONALIZED MEDICINE, BY COUNTRY, 2017 & 2025 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN MEDICINE MARKET FOR OTHER MEDICINE APPLICATIONS, BY COUNTRY, 2017 & 2025 (%)
FIGURE 22. ALPHABET INC.: REVENUE, 2015–2017 ($MILLION)
FIGURE 23. ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 24. ALPHABET INC.: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 25. IBM: REVENUE, 2015–2017 ($MILLION)
FIGURE 26. IBM: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 27. IBM: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 28. INTEL CORPORATION: REVENUE, 2015–2017 ($MILLION)
FIGURE 29. INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 30. INTEL CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 31. MICROSOFT CORPORATION: REVENUE, 2015–2017 ($MILLION)
FIGURE 32. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 33. MICROSOFT CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 34. NVIDIA: REVENUE, 2016–2018 ($MILLION)
FIGURE 35. NVIDIA: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 36. NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2018 (%)

 

AI systems can accomplish challenging tasks without human intervention, hence there is a growth in demand for these systems in the field of medicine. The pharmaceutical industry is beginning to invest in artificial intelligence (AI) to develop better biomarkers, to identify drug targets, and design new drugs. There is an increase in the number of partnerships between large pharmaceutical companies and AI start-ups in 2017. In addition, there is advancement in the technology related to deep learning and natural language processing that is used in AI system and helps improve the efficiency of data management in the field of medicine.

Currently, AI technology are used for various purposes by pharmaceutical and biotechnology industries such as retrieve patient information, maintain clinical data, drug discovery, and lead optimization. Moreover, these systems can enhance their perception and reasoning power, which helps the system to perform the repetitive functions carried out manually. Thus, the use of AI systems can help reduce numerous human errors such as unstable hand movements during the development of any drug and precisely measure the dosage of a pharmaceutical drug. Moreover, they are used to analyze the medical records of a patient and predict disease onset.

The use of technologically advanced products is highest in North America, owing to availability of capital investments and increase in adoption of these products for the use of AI technology by the pharmaceutical and biotechnology companies. Furthermore, rise in disposable income, surge in healthcare expenditure in the developing countries, such as China and India, and increase in adoption of AI systems contribute towards the growth of the Asia-Pacific AI in medicine market.

 

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