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Healthcare Artificial Intelligence market, By Technology (Deep Learning, Querying Method, Natural Language Processing and Context Aware Processing) By Application (Drug Discovery, Medical Imaging and Diagnosis, Virtual Assistant, In-Patient Care and Hospital Management and others) opportunities and forecast 2020-2027

  • DLR2165
  • 19 September, 2020
  • Pharma & Healthcare
  • Pages: 120
  • Global
Market Overview

Artificial intelligence (AI) denotes creation of exclusive systems with the help of software and algorithms that can perform definite tasks without human instruction and intervention. AI is used in pharmaceutical and healthcare for the estimation of human cognition and analysis of difficult diagnostic and medical imaging data. The basic purpose for AI in healthcare is to investigate the relationship between patient outcomes and treatment techniques. Moreover, AI is also applicable in drug discovery, medication management, and treatment plans.

Robotic personal assistants and innovation in clinical research should drive healthcare AI market growth. Also, growing application in the field of precision medicine and genomics will increase personalized treatments tailored to an individual patient’s need and requirements. Big data analytics usage in healthcare is growing at a tremendous speed. Growing volume of healthcare data have resulted in increasing need for AI technology to accelerate the speed of service delivery in healthcare and to perform data mining. Rise of promising and novel application for disease monitoring and diagnosis is expected to drive the market growth. Some of the other reasons for the growth of the global AI in healthcare market include increasing need for coordination between patients and healthcare workforce; improve patient outcomes, increasing adoption of precision medicine, substantial use of big data in the healthcare, and significant rise in investments in venture capital. For instance, in 2018, GV and Kleiner Perkins invested around USD 21 million in the Viz.ai-an AI start-up.

High capital requirement due to complicated nature of machines, huge repair and maintenance charges will discourage corporations to venture into the market. Besides, fears regarding adoption of AI technology would lead to large scale unemployment and redundancy should act restrictive for industry expansion. Moreover, AI and robots can analyse and record patient data, improve diagnostics services and support surgeons and doctors in critical interventions leading to the new market opportunities and chances in the future.

Segment Overview

Global AI in healthcare market has been segmented majorly on the basis of technology and application in healthcare. On the basis of technology the market has been segmented as deep learning, querying methods, natural language processing, and context aware processing.

Similarly on the basis on application the market has been segmented as drug discovery, medical imaging and diagnosis, virtual assistant, inpatient care and hospital management, and others. Drug discovery segment has emerged as the largest segment as the companies are focusing on integrating the clinical trials in drug development with AI so as to reduce market time and failure.

Regional Overview

Geographically, the market has been segmented into four major economies including North America, Europe, Asia-Pacific, and LAMEA. North America consists of US, Canada, and Rest of North America. Europe comprises of the major countries including UK, Germany, France, Italy, Spain and Rest of Europe. Similarly, Asia Pacific consists of the major countries such as, Japan, China, India, South Korea, Australia and, Rest of Asia Pacific. LAMEA consists of Brazil, Saudi Arabia, UAE, and Rest of LAMEA.

North America dominated the global healthcare AI market. The Rising adoption of healthcare IT, and availability of funding for AI are some of the major factors contributing to market growth. Asia Pacific is anticipated to emerge as fastest growing region. Improving infrastructure, growing number of AI start-ups, and progressively increasing adoption of the advanced technologies are some of the major factors contributing to the market growth. Furthermore, rise in the number of government initiatives for the AI technology is also expected to support the growth. For instance, in 2019, South Korea, the Ministry of Science and ICT declared that it would initiate trial service of AI-based precision medicine named Dr. Answer, by the end of the year.

Competitor overview

The major players in healthcare AI market are IBM Corporation, NVIDIA Corporation, Nuance Communications, Inc., Microsoft, Intel Corporation, and DeepMind Technologies Limited. Increasing investments in research and development, service differentiation and collaborations with the other major industry participants, are the key strategies adopted by the major players for gaining competitive edge. For instance, in 2019, IBM Corporation, a big technological giant announced 10-year partnerships with the Vanderbilt University Medical Centre and the Brigham and Women’s Hospital. The partnership includes an investment of over USD 50 million in artificial inteligence research.

Key Players
  1. IBM Corporation
  2. Microsoft Corporation
  3. Google Inc.,
  4. Intel Corporation
  5. GE Healthcare
  6. CloudMedX, Inc.,
  7. Nvidia Corporation
  8. iCarbonX
  9. Welltok Inc.,
  10. Next IT Corp.,

Market Segmentation

By Technology
  • Deep Learning
  • Querying Method
  • Natural Language Processing (NLP)
  • Context Aware Processing
By Application
  • Drug Discovery
  • Medical Imaging and Diagnosis
  • Virtual Assistant
  • In Patient Care and Hospital Management
  • Others
By Geography
  • North America
    • US
    • Canada
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • Japan
    • China
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Brazil
    • Saudi Arabia
    • UAE
    • Rest of LAMEA


1 Report Prologue 12

    2 Market Introduction 14

    • 2.1 Scope of Study 15
    • 2.2 Research Objective 15
    • 2.3 List of Assumptions 15

    3 Research Methodology 17

    • 3.1 Research Process 18
    • 3.2 Primary Research 19
    • 3.3 Secondary Research 20
    • 3.4 Market Size Estimation 21

    4 Market Dynamics 22

    • 4.1 Drivers 23
      • 4.1.1 Increasing adoption of artificial intelligence in research areas 23
      • 4.1.2 Shortage of health workforce 23
      • 4.1.3 Increase in AI investments 23
    • 4.2 Restraints 24
      • 4.2.1 High cost 24
      • 4.2.2 Stringent regulatory guidelines 24
    • 4.3 Opportunities 24
      • 4.3.1 The rapid expansion of technology and digital applications in healthcare 24

    5 Market Factor Analysis 25

    • 5.1 Porter’s Five Forces Analysis 26
      • 5.1.1 Threat of New Entrants 26
      • 5.1.2 Bargaining Power of Suppliers 26
      • 5.1.3 Threat of Substitutes 27
      • 5.1.4 Bargaining Power of Buyers 27
      • 5.1.5 Intensity of Rivalry 27
    • 5.2 Value Chain Analysis 28
      • 5.2.1 Inputs 28
      • 5.2.2 Software Development Processes 28
      • 5.2.3 Output 29
      • 5.2.4 Marketing and Distribution 29
      • 5.2.5 Post-Selling Services 29

    6 Global Healthcare Artificial Intelligence Market, By Component 30

    • 6.1 Introduction 31
    • 6.2 Hardware 32
    • 6.3 Software 32
    • 6.4 Services 32

    7 Global Healthcare Artificial Intelligence Market, By Application 33

    • 7.1 Introduction 34
    • 7.2 Robot-Assisted Surgery 35
    • 7.3 Virtual Nursing Assistant 35
    • 7.4 Dosage Error Reduction 35
    • 7.5 Clinical Trial 36
    • 7.6 Preliminary Diagnosis 36
    • 7.7 Automated Image Diagnosis 36

    8 Global Healthcare Artificial Intelligence Market, By Technology 37

    • 8.1 Introduction 38
    • 8.2 Machine Learning 39
    • 8.3 Querying Method 39
    • 8.4 Natural Language Processing 39

    9 Global Healthcare Artificial Intelligence Market, By End User 40

    • 9.1 Introduction 41
    • 9.2 Hospital & Diagnostic Centers 42
    • 9.3 Pharmaceutical & Biotechnology Companies 42
    • 9.4 Academic & Research Laboratories 42

    10 Global Healthcare Artificial Intelligence Market, By Region 43

    • 10.1 Introduction 44
    • 10.2 Americas 45
      • 10.2.1 North America 47
        • 10.2.1.1 U.S 49
        • 10.2.1.2 Canada 50
      • 10.2.2 South America 52
    • 10.3 Europe 54
      • 10.3.1 Western Europe 56
        • 10.3.1.1 Germany 58
        • 10.3.1.2 U.K 59
        • 10.3.1.3 France 61
        • 10.3.1.4 Italy 62
        • 10.3.1.5 Spain 64
        • 10.3.1.6 Rest of Western Europe 65
      • 10.3.2 Eastern Europe 67
    • 10.4 Asia Pacific 69
      • 10.4.1 Japan 71
      • 10.4.2 China 72
      • 10.4.3 India 74
      • 10.4.4 Australia 75
      • 10.4.5 Republic of Korea 77
      • 10.4.6 Rest of Asia Pacific 78
    • 10.5 Middle East & Africa 80
      • 10.5.1 Middle East 82
      • 10.5.2 Africa 83

    11 Competitive Landscape 85

    • 11.1 Introduction 86

    12 Company Profiles 87

    • 12.1 DEEP GENOMICS 88
      • 12.1.1 Company Overview 88
      • 12.1.2 Financial Overview 88
      • 12.1.3 Products Offering 88
      • 12.1.4 Key Developments 88
      • 12.1.5 SWOT Analysis 88
      • 12.1.6 Key Strategy 88
    • 12.2 Next IT Corp. 89
      • 12.2.1 Company Overview 89
      • 12.2.2 Financial Overview 89
      • 12.2.3 Products Offering 90
      • 12.2.4 Key Developments 90
      • 12.2.5 SWOT Analysis 90
      • 12.2.6 Key Strategy 90
    • 12.3 General Vision 91
      • 12.3.1 Company Overview 91
      • 12.3.2 Financial Overview 91
      • 12.3.3 Products 91
      • 12.3.4 Key Developments 91
      • 12.3.5 SWOT Analysis 91
      • 12.3.6 Key Strategy 91
    • 12.4 Google 92
      • 12.4.1 Company Overview 92
      • 12.4.2 Financial Overview 92
      • 12.4.3 Products/Services Offering 93
      • 12.4.4 Key Developments 93
      • 12.4.5 SWOT Analysis 93
      • 12.4.6 Key Strategy 93
    • 12.5 NVIDIA Corporation 94
      • 12.5.1 Company Overview 94
      • 12.5.2 Financial Overview 94
      • 12.5.3 Products Offering 95
      • 12.5.4 Key Developments 95
      • 12.5.5 SWOT Analysis 95
      • 12.5.6 Key Strategy 95
    • 12.6 IBM Watson Health 96
      • 12.6.1 Company Overview 96
      • 12.6.2 Financial Overview 96
      • 12.6.3 Products Offering 97
      • 12.6.4 Key Developments 97
      • 12.6.5 SWOT Analysis 97
      • 12.6.6 Key Strategy 97
    • 12.7 Intel Corporation 98
      • 12.7.1 Company Overview 98
      • 12.7.2 Financial Overview 98
      • 12.7.3 Products Offering 99
      • 12.7.4 Key Developments 99
      • 12.7.5 SWOT Analysis 99
      • 12.7.6 Key Strategy 99
    • 12.8 Koninklijke Philips N.V. 100
      • 12.8.1 Company Overview 100
      • 12.8.2 Financial Overview 100
      • 12.8.3 Products Offering 101
      • 12.8.4 Key Developments 101
      • 12.8.5 SWOT Analysis 101
      • 12.8.6 Key Strategy 101
    • 12.9 GENERAL ELECTRIC 102
      • 12.9.1 Company Overview 102
      • 12.9.2 Financial Overview 102
      • 12.9.3 Products Offering 103
      • 12.9.4 Key Developments 103
      • 12.9.5 SWOT Analysis 103
      • 12.9.6 Key Strategy 104
    • 12.10 Stryker 105
      • 12.10.1 Company Overview 105
      • 12.10.2 Financial Overview 105
      • 12.10.3 Products Offering 106
      • 12.10.4 Key Developments 106
      • 12.10.5 SWOT Analysis 106
      • 12.10.6 Key Strategy 106
    • 12.11 Microsoft Corporation 107
      • 12.11.1 Company Overview 107
      • 12.11.2 Financial Overview 107
      • 12.11.3 Products Offering 108
      • 12.11.4 Key Developments 108
      • 12.11.5 SWOT Analysis 108
      • 12.11.6 Key Strategy 108
    • 12.12 CloudMedx Inc. 109
      • 12.12.1 Company Overview 109
      • 12.12.2 Financial Overview 109
      • 12.12.3 Products Offering 109
      • 12.12.4 Key Developments 109
      • 12.12.5 SWOT Analysis 109
      • 12.12.6 Key Strategy 110

    13 Appendix 111

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