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Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, and Services), Algorithm (Deep Learning, Querying Method, Natural Language Processing, and Context Aware Processing), Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, and Others), and End User (Healthcare Provider, Pharmaceutical & Biotechnology Company, Patient, and Payer) - Global Opportunity Analysis and Industry Forecast, 2017-2023

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LI_182421
Pages: 330
Mar 2018 | 6165 Views
 
Author's : Tenzin Kunsel and Onkar Sumant
Tables: 163
Charts: 44
 

Artificial Intelligence in Healthcare Market Overview:

Artificial intelligence (AI) can be defined as the science and engineering adopted to design intelligent machines, especially intelligent computer programs. AI is an intelligent system that applies various human intelligence based functions such as reasoning, learning, and problem-solving skills on different disciplines such as biology, computer science, mathematics, linguistics, psychology, and engineering. AI is widely applicable in medication management, treatment plans, and drug discovery. The global AI in healthcare market was valued at $1,441 million in 2016, and is estimated to reach at $22,790 million by 2023, registering a CAGR of 48.7% from 2017 to 2023.

The growth of the global AI in healthcare market is driven by the ability of AI to improve patient outcomes, need to increase coordination between healthcare workforce & patients, increase in adoption of precision medicine, and a notable rise in venture capital investments. In addition, rise in importance of big data in healthcare is expected to fuel the market growth. The market is expected to witness a moderate growth during the forecast period, owing to rise in adoption of AI systems. Furthermore, technological advancements in AI systems are anticipated to augment the market growth. Prospective of AI-based tools for elderly care and the untapped potential of emerging markets, such as China and India, are expected to present various opportunities for market expansion. However, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the market growth.

Offering Segment Review

On the basis of offering, the market is divided into hardware, software, and services. The software segment occupied the highest share in 2016, 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.

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Algorithm Segment Review

Based on algorithm, it is classified into deep learning, querying method, natural language processing, and context aware processing. The deep learning segment is projected to grow at the highest CAGR during the forecast period, owing to increase in use of signal reduction, data mining, and image recognition, which are integral components of most AI protocols.

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Global AI in healthcare Market: Key Geographic Segment

Based on region, the AI in healthcare market is divided into North America, Europe, Asia-Pacific, and LAMEA. North America accounted for the largest market share in the AI in healthcare market in 2016, and is expected to retain its dominance throughout the forecast period.

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The report provides extensive competitive analysis and profiles of key market players, such as Welltok, Inc., Intel Corporation, Nvidia Corporation, Google Inc., IBM Corporation, Microsoft Corporation, General Vision, Inc., Enlitic, Inc., Next IT Corporation, and iCarbonX.

The other players in the value chain include Shimadzu Recursion Pharmaceuticals, Inc., Siemens Healthineers, General Electric (GE) Company, Koninklijke Philips N.V., Cloudmedx, Inc., and Bay Labs, Inc.

Key Benefits for Stakeholders

  • This report entails a detailed quantitative analysis of the current market trends from 2016 to 2023 to identify the prevailing opportunities.
  • Market estimations are based on comprehensive analysis of the key developments in the industry.
  • The global market is comprehensively analyzed with respect to offering, algorithm, application, end user, and region.
  • In-depth analysis based on geography assists in understanding 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 Healthcare Market Key Segments:

By Offering

  • Hardware
  • Software
  • Service

By Algorithm

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

By Application

  • Robot-assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

By End User

  • Healthcare Provider
  • Pharmaceutical & Biotechnology Company
  • Patient
  • Payer

By Geography

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Russia
    • Netherlands
    • Sweden
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • Australia
    • India
    • Singapore
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • Turkey
    • 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. Subsidy programs and funding
3.4. Porter’s five forces analysis
3.5. Regulations and reimbursement scenario
3.6. Market dynamics

3.6.1. Drivers

3.6.1.1. Increase in processing power of AI systems leading to enhanced AI capabilities
3.6.1.2. Dearth of skilled healthcare professionals
3.6.1.3. Application of AI for novel surgeries and screening

3.6.2. Restraints

3.6.2.1. Limitations of AI decision-making
3.6.2.2. Limited acceptance from healthcare professionals owing to risk of injury and misinterpretation

3.6.3. Opportunities

3.6.3.1. Untapped market in developing regions

Chapter: 4: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING

4.1. Overview

4.1.1. Market size and forecast

4.2. Hardware

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

4.3. Software

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

4.4. Services

4.4.1. Key market trends
4.4.2. Key growth factors and opportunities
4.4.3. Market size and forecast
4.4.4. 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 HEALTHCARE MARKET, BY APPLICATION

6.1. Overview

6.1.1. Market size and forecast

6.2. Robot-assisted surgery

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

6.3. Virtual nursing assistant

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

6.4. Administrative workflow assistance

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

6.5. Fraud detection

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

6.6. Dosage error reduction

6.6.1. Market size and forecast
6.6.2. Market analysis, by country

6.7. Clinical trial participant identifier

6.7.1. Market size and forecast
6.7.2. Market analysis, by country

6.8. Preliminary diagnosis

6.8.1. Market size and forecast
6.8.2. Market analysis, by country

6.9. Others

6.9.1. Market size and forecast
6.9.2. Market analysis, by country

Chapter: 7: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER

7.1. Overview

7.1.1. Market size and forecast

7.2. Healthcare providers

7.2.1. Market size and forecast
7.2.2. Market analysis, by country

7.3. Pharmaceuticals & biotechnology companies

7.3.1. Market size and forecast
7.3.2. Market analysis, by country

7.4. Patients

7.4.1. Market size and forecast
7.4.2. Market analysis, by country

7.5. Payer

7.5.1. Market size and forecast
7.5.2. Market analysis, by country

Chapter: 8: ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION

8.1. Overview

8.1.1. Market size and forecast

8.2. North America

8.2.1. Key market trends
8.2.2. Key growth factors and opportunities
8.2.3. Market size and forecast, by offering
8.2.4. Market size and forecast, by technology
8.2.5. Market size and forecast, by application
8.2.6. Market size and forecast, by end user
8.2.7. Market size and forecast, by country

8.2.7.1. U.S. Market size and forecast, by offering
8.2.7.2. U.S. Market size and forecast, by technology
8.2.7.3. U.S. Market size and forecast, by application
8.2.7.4. U.S. Market size and forecast, by end user
8.2.7.5. Canada Market size and forecast, by offering
8.2.7.6. Canada Market size and forecast, by technology
8.2.7.7. Canada Market size and forecast, by application
8.2.7.8. Canada Market size and forecast, by end user
8.2.7.9. Mexico Market size and forecast, by offering
8.2.7.10. Mexico Market size and forecast, by technology
8.2.7.11. Mexico Market size and forecast, by application
8.2.7.12. Mexico Market size and forecast, by end user

8.3. Europe

8.3.1. Key market trends
8.3.2. Key growth factors and opportunities
8.3.3. Market size and forecast, by offering
8.3.4. Market size and forecast, by technology
8.3.5. Market size and forecast, by application
8.3.6. Market size and forecast, by end user
8.3.7. Market size and forecast, by country

8.3.7.1. Germany Market size and forecast, by offering
8.3.7.2. Germany Market size and forecast, by technology
8.3.7.3. Germany Market size and forecast, by application
8.3.7.4. Germany Market size and forecast, by end user
8.3.7.5. France Market size and forecast, by offering
8.3.7.6. France Market size and forecast, by technology
8.3.7.7. France Market size and forecast, by application
8.3.7.8. France Market size and forecast, by end user
8.3.7.9. UK Market size and forecast, by offering
8.3.7.10. UK Market size and forecast, by technology
8.3.7.11. UK Market size and forecast, by application
8.3.7.12. UK Market size and forecast, by end user
8.3.7.13. Italy Market size and forecast, by offering
8.3.7.14. Italy Market size and forecast, by technology
8.3.7.15. Italy Market size and forecast, by application
8.3.7.16. Italy Market size and forecast, by end user
8.3.7.17. Spain Market size and forecast, by offering
8.3.7.18. Spain Market size and forecast, by technology
8.3.7.19. Spain Market size and forecast, by application
8.3.7.20. Spain Market size and forecast, by end user
8.3.7.21. Russia Market size and forecast, by offering
8.3.7.22. Russia Market size and forecast, by technology
8.3.7.23. Russia Market size and forecast, by application
8.3.7.24. Russia Market size and forecast, by end user
8.3.7.25. Netherlands Market size and forecast, by offering
8.3.7.26. Netherlands Market size and forecast, by technology
8.3.7.27. Netherlands Market size and forecast, by application
8.3.7.28. Netherlands Market size and forecast, by end user
8.3.7.29. Sweden Market size and forecast, by offering
8.3.7.30. Sweden Market size and forecast, by technology
8.3.7.31. Sweden Market size and forecast, by application
8.3.7.32. Sweden Market size and forecast, by end user
8.3.7.33. Rest of Europe Market size and forecast, by offering
8.3.7.34. Rest of Europe Market size and forecast, by technology
8.3.7.35. Rest of Europe Market size and forecast, by application
8.3.7.36. Rest of Europe Market size and forecast, by end user

8.4. Asia-Pacific

8.4.1. Key market trends
8.4.2. Key growth factors and opportunities
8.4.3. Market size and forecast, by offering
8.4.4. Market size and forecast, by technology
8.4.5. Market size and forecast, by application
8.4.6. Market size and forecast, by end user
8.4.7. Market size and forecast, by country

8.4.7.1. Japan Market size and forecast, by offering
8.4.7.2. Japan Market size and forecast, by technology
8.4.7.3. Japan Market size and forecast, by application
8.4.7.4. Japan Market size and forecast, by end user
8.4.7.5. China Market size and forecast, by offering
8.4.7.6. China Market size and forecast, by technology
8.4.7.7. China Market size and forecast, by application
8.4.7.8. China Market size and forecast, by end user
8.4.7.9. Australia Market size and forecast, by offering
8.4.7.10. Australia Market size and forecast, by technology
8.4.7.11. Australia Market size and forecast, by application
8.4.7.12. Australia Market size and forecast, by end user
8.4.7.13. India Market size and forecast, by offering
8.4.7.14. India Market size and forecast, by technology
8.4.7.15. India Market size and forecast, by application
8.4.7.16. India Market size and forecast, by end user
8.4.7.17. Singapore Market size and forecast, by offering
8.4.7.18. Singapore Market size and forecast, by technology
8.4.7.19. Singapore Market size and forecast, by application
8.4.7.20. Singapore Market size and forecast, by end user
8.4.7.21. Rest of Asia-Pacific Market size and forecast, by offering
8.4.7.22. Rest of Asia-Pacific Market size and forecast, by technology
8.4.7.23. Rest of Asia-Pacific Market size and forecast, by application
8.4.7.24. Rest of Asia-Pacific Market size and forecast, by end user

8.5. LAMEA

8.5.1. Key market trends
8.5.2. Key growth factors and opportunities
8.5.3. Market size and forecast, by offering
8.5.4. Market size and forecast, by technology
8.5.5. Market size and forecast, by application
8.5.6. Market size and forecast, by end user
8.5.7. Market size and forecast, by country

8.5.7.1. Brazil Market size and forecast, by offering
8.5.7.2. Brazil Market size and forecast, by technology
8.5.7.3. Brazil Market size and forecast, by application
8.5.7.4. Brazil Market size and forecast, by end user
8.5.7.5. Turkey Market size and forecast, by offering
8.5.7.6. Turkey Market size and forecast, by technology
8.5.7.7. Turkey Market size and forecast, by application
8.5.7.8. Turkey Market size and forecast, by end user
8.5.7.9. Saudi Arabia Market size and forecast, by offering
8.5.7.10. Saudi Arabia Market size and forecast, by technology
8.5.7.11. Saudi Arabia Market size and forecast, by application
8.5.7.12. Saudi Arabia Market size and forecast, by end user
8.5.7.13. South Africa Market size and forecast, by offering
8.5.7.14. South Africa Market size and forecast, by technology
8.5.7.15. South Africa Market size and forecast, by application
8.5.7.16. South Africa Market size and forecast, by end user
8.5.7.17. Rest of LAMEA Market size and forecast, by offering
8.5.7.18. Rest of LAMEA Market size and forecast, by technology
8.5.7.19. Rest of LAMEA Market size and forecast, by application
8.5.7.20. Rest of LAMEA Market size and forecast, by end user

Chapter: 9: COMPANY PROFILES

9.1. Alphabet Inc. (Google Inc.)

9.1.1. Company overview
9.1.2. Company snapshot
9.1.3. Operating business segments
9.1.4. Product portfolio
9.1.5. Business performance

9.2. Enlitic Inc.

9.2.1. Company overview
9.2.2. Company snapshot
9.2.3. Product portfolio
9.2.4. Key strategic moves and developments

9.3. General Vision

9.3.1. Company overview
9.3.2. Company snapshot
9.3.3. Operating business segments
9.3.4. Product portfolio
9.3.5. Key strategic moves and developments

9.4. iCarbonX

9.4.1. Company overview
9.4.2. Company snapshot
9.4.3. Product portfolio
9.4.4. Key strategic moves and developments

9.5. Intel Corporation

9.5.1. Company overview
9.5.2. Company snapshot
9.5.3. Operating business segments
9.5.4. Product portfolio
9.5.5. Business performance
9.5.6. Key strategic moves and developments

9.6. IBM Corporation

9.6.1. Company overview
9.6.2. Company snapshot
9.6.3. Operating business segments
9.6.4. Product portfolio
9.6.5. Business performance
9.6.6. Key strategic moves and developments

9.7. Microsoft Corporation

9.7.1. Company overview
9.7.2. Company snapshot
9.7.3. Operating business segments
9.7.4. Product portfolio
9.7.5. Business performance
9.7.6. Key strategic moves and developments

9.8. Nvidia Corporation

9.8.1. Company overview
9.8.2. Company snapshot
9.8.3. Operating business segments
9.8.4. Product portfolio
9.8.5. Business performance
9.8.6. Key strategic moves and developments

9.9. Next IT Corp.

9.9.1. Company overview
9.9.2. Company snapshot
9.9.3. Operating business segments
9.9.4. Product portfolio

9.10. Welltok Inc.

9.10.1. Company overview
9.10.2. Company snapshot
9.10.3. Operating business segments
9.10.4. Product portfolio
9.10.5. Key strategic moves and developments

LIST OF TABLES

TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 02. HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 03. SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 04. SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 05. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 06. DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 07. QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 08. NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 09. CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY REGION, 2016-2023 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY REGION, 2016-2023 ($MILLION)
TABLE 13. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY REGION, 2016-2023 ($MILLION)
TABLE 14. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY REGION, 2016-2023 ($MILLION)
TABLE 15. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY REGION, 2016-2023 ($MILLION)
TABLE 16. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY REGION, 2016-2023 ($MILLION)
TABLE 17. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY REGION, 2016-2023 ($MILLION)
TABLE 18. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2016-2023 ($MILLION)
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 20. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY REGION, 2016-2023 ($MILLION)
TABLE 21. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2016-2023 ($MILLION)
TABLE 22. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 2016-2023 ($MILLION)
TABLE 23. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PAYER, BY REGION, 2016-2023 ($MILLION)
TABLE 24. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, 2016-2023 ($MILLION)
TABLE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 29. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 30. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 31. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 32. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 33. U.S. ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 34. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 35. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 36. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 37. CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 38. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 39. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 40. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 41. MEXICO ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 42. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 43. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 44. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 45. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 46. EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 47. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 48. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 49. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 50. GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 51. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 52. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 53. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 54. FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 55. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 56. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 57. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 58. UK ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 59. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 60. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 61. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 62. ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 63. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 64. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 65. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 66. SPAIN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 67. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 68. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 69. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 70. RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 71. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 72. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 73. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 74. NETHERLANDS ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 75. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 76. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 77. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 78. SWEDEN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 79. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 80. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 81. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 82. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 83. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 84. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 85. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 86. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 87. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 88. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 89. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 90. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 91. JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 92. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 93. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 94. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 95. CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 96. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 97. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 98. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 99. AUSTRALIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 100. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 101. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 102. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 103. INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 104. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 105. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 106. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 107. SINGAPORE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 108. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 109. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 110. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 111. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 112. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 113. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 114. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 115. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 116. LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016-2023 ($MILLION)
TABLE 117. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 118. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 119. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 120. BRAZIL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 121. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 122. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 123. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 124. TURKEY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 125. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 126. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 127. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 128. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 129. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 130. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 131. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 132. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 133. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING, 2016-2023 ($MILLION)
TABLE 134. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, 2016-2023 ($MILLION)
TABLE 135. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, 2016-2023 ($MILLION)
TABLE 136. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER, 2016-2023 ($MILLION)
TABLE 137. ALPHABET INC.: COMPANY SNAPSHOT
TABLE 138. ALPHABET INC.: OPERATING SEGMENTS
TABLE 139. ALPHABET INC.: PRODUCT PORTFOLIO
TABLE 140. ENLITIC: COMPANY SNAPSHOT
TABLE 141. ENLITIC: PRODUCT PORTFOLIO
TABLE 142. GENERAL VISION: COMPANY SNAPSHOT
TABLE 143. GENERAL VISION: THREE TECHNOLOGIES
TABLE 144. GENERAL VISION: PRODUCT PORTFOLIO
TABLE 145. ICARBONX: COMPANY SNAPSHOT
TABLE 146. ICARBONX: PRODUCT PORTFOLIO
TABLE 147. INTEL CORPORATION: COMPANY SNAPSHOT
TABLE 148. INTEL CORPORATION: OPERATING SEGMENTS
TABLE 149. INTEL CORPORATION: PRODUCT PORTFOLIO
TABLE 150. IBM CORPORATION: COMPANY SNAPSHOT
TABLE 151. IBM: OPERATING SEGMENTS
TABLE 152. IBM: PRODUCT PORTFOLIO
TABLE 153. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 154. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 155. NVIDIA: COMPANY SNAPSHOT
TABLE 156. NVIDIA: OPERATING SEGMENTS
TABLE 157. NVIDIA: PRODUCT PORTFOLIO
TABLE 158. NEXT IT: COMPANY SNAPSHOT
TABLE 159. NEXT IT: PRODUCT CATEGORIES
TABLE 160. NEXT IT: PRODUCT PORTFOLIO
TABLE 161. WELLTOK: COMPANY SNAPSHOT
TABLE 162. WELLTOK: PRODUCT CATEGORIES
TABLE 163. WELLTOK: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE 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 HARDWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 12. COMPARATIVE SHARE ANALYSIS OF SOFTWARE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 13. COMPARATIVE SHARE ANALYSIS OF SERVICES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF DEEP LEARNING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF QUERYING METHOD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF NATURAL LANGUAGE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF CONTEXT AWARE PROCESSING ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, 2016 & 2023 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ROBOT-ASSISTED SURGERY, BY COUNTRY, 2016 & 2023 (%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR VIRTUAL NURSING ASSISTANT, BY COUNTRY, 2016 & 2023 (%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR ADMINISTRATIVE WORKFLOW ASSISTANCE, BY COUNTRY, 2016 & 2023 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR FRAUD DETECTION, BY COUNTRY, 2016 & 2023 (%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR DOSAGE ERROR REDUCTION, BY COUNTRY, 2016 & 2023 (%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR CLINICAL TRIAL PARTICIPANT IDENTIFIER, BY COUNTRY, 2016 & 2023 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PRELIMINARY DIAGNOSIS, BY COUNTRY, 2016 & 2023 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR OTHERS, BY COUNTRY, 2016 & 2023 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR HEALTHCARE PROVIDERS, BY COUNTRY, 2016 & 2023 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY COUNTRY, 2016 & 2023 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FOR PATIENTS, BY COUNTRY, 2016 & 2023 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET BY PAYER, BY COUNTRY, 2016 & 2023 (%)
FIGURE 30. ALPHABET INC.: REVENUE, 2015-2017 ($MILLION)
FIGURE 31. ALPHABET INC.: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 32. ALPHABET INC.: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 33. INTEL CORPORATION: REVENUE, 2015-2017 ($MILLION)
FIGURE 34. INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 35. INTEL CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 36. IBM: REVENUE, 2014-2016 ($MILLION)
FIGURE 37. IBM: REVENUE SHARE BY SEGMENT, 2016 (%)
FIGURE 38. IBM: REVENUE SHARE BY GEOGRAPHY, 2016 (%)
FIGURE 39. MICROSOFT CORPORATION: REVENUE, 2015-2017 ($MILLION)
FIGURE 40. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2017 (%)
FIGURE 41. MICROSOFT CORPORATION: REVENUE SHARE BY GEOGRAPHY, 2017 (%)
FIGURE 42. NVIDIA: REVENUE, 2016-2018 ($MILLION)
FIGURE 43. NVIDIA: REVENUE SHARE BY SEGMENT, 2018 (%)
FIGURE 44. NVIDIA: REVENUE SHARE BY GEOGRAPHY, 2018 (%)

 

The demand for artificial intelligence systems (AI) is increasing exponentially, as these systems can accomplish challenging tasks without human intervention. These systems can enhance their perception and reasoning power, which helps the system to perform any repetitive functions carried out manually. Different technologies such as natural language processing and deep learning are used in AI systems to improve its efficiency in the healthcare market.

Presently, AI systems in the healthcare sector are used for therapy planning, retrieve patient information, and to interpret images. Eventually, these systems can replace manual involvement by providing virtual assistance for management of patient’s health, diagnostic purposes, and other tasks. The use of AI systems can help to reduce numerous human errors such as unstable hand movements during a surgery/drug delivery and to precisely measure the dosage of a pharmaceutical drug. In addition, these systems can also be used to operate on a person with minimal human supervision and monitor the health of a patient using different wearable devices. Moreover, they are used to analyze the medical records of a patient and predict disease onset.

Employment of technologically advanced products is highest in North America, owing to increase in adoption of these products and availability of capital investments to provide new ventures for the AI systems. Furthermore, rise in disposable income, growth 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 market.

 

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