The artificial intelligence in healthcare market is projected to grow from USD 6.9 billion in 2021 to USD 67.4 billion by 2027; it is expected to grow at a CAGR of 46.2%from 2021 to 2027.
Many companies are developing software solutions for various healthcare applications; this is the key factor complementing the growth of the software segment. Strong demand among software developers (especially in medical centers and universities) and widening applications of AI in the healthcare sector are among the prime factors complementing the growth of the AI platform within the software segment. Google AI Platform, TensorFlow, Microsoft Azure, Premonition, Watson Studio, Lumiata, and Infrrd are some of the top AI platforms.

“The market for machine learning segment is expected to grow at the highest CAGR during the forecast period”
The increasing adoption of machine learning technology (especially deep learning) in various healthcare applications such as inpatient monitoring & hospital management, drug discovery, medical imaging & diagnostics, and cybersecurity is driving the adoption of machine learning technology in the AI in healthcare market.

“The medical imaging & diagnostics segment is expected to grow at the highest CAGR of the artificial intelligence in healthcare market during the forecast period.”
The high growth of the medical imaging and diagnostics segment can be attributed to factors such as the presence of a large volume of imaging data, advantages offered by AI systems to radiologists in diagnosis and treatment management, and the influx of a large number of startups in this segment.

“North America region is expected to hold the largest share of the artificial intelligence in healthcare market during the forecast period.”
Increasing adoption of AI technology across the continuum of care, especially in the US, and high healthcare spending combined with the onset of COVID-19 pandemic accelerating the adoption of AI in hospital and clinics across the region are the major factors driving the growth of the North American market.

Break-up of the profiles of primary participants:
• By Company Type – Tier 1 – 40%, Tier 2 – 25%, and Tier 3 – 35%
• By Designation – C-level – 40%, Director-level – 35%, and, Other – 25%
• By Region – North America - 30%, Europe – 20%, APAC – 45%, and RoW – 5%

The key players operating in the artificial intelligence in healthcare market include Intel (US), Koninklijke Philips (Netherlands), Microsoft (US), IBM (US), and Siemens Healthineers (US)

The artificial intelligence in healthcare market has been segmented into offering, technology, application, end user, and region.

Based on offering the market has been segmented into hardware, software, and services. Based on technology the market has been segmented machine learning, natural language processing, context-aware computing, and computer vision. Based on application the market has been segmented into patient data & risk analysis, inpatient care & hospital management, medical imaging & diagnostics, lifestyle management & monitoring, virtual assistants, drug discovery, research, healthcare assistance robots, precision medicine, emergency room & surgery, wearables, mental health, and cybersecurity. Based on end user, the market has been segmented into hospitals & healthcare providers, patients, pharmaceutical & biotechnology companies, healthcare payers, and others. The artificial intelligence in healthcare market has been studied for North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW).

Reasons to buy the report:
• Illustrative segmentation, analysis, and forecast of the market based on offering, technology, application, end user, and region have been conducted to give an overall view of the artificial intelligence in healthcare market.
• A value chain analysis has been performed to provide in-depth insights into the artificial intelligence in healthcare market.
• The key drivers, restraints, opportunities, and challenges pertaining to the artificial intelligence in healthcare market have been detailed in this report.
• Detailed information regarding the COVID-19 impact on the artificial intelligence in healthcare market has been provided in the report.
• The report includes a detailed competitive landscape of the market, along with key players, as well as in-depth analysis of their revenues

1 INTRODUCTION 25

1.1 STUDY OBJECTIVES 25

1.2 MARKET DEFINITION 26

1.2.1 INCLUSIONS AND EXCLUSIONS 26

1.3 STUDY SCOPE 27

1.3.1 MARKETS COVERED 27

1.3.2 GEOGRAPHIC SCOPE 27

1.3.3 YEARS CONSIDERED 28

1.4 CURRENCY 28

1.5 VOLUME UNIT CONSIDERED 28

1.6 LIMITATIONS 29

1.7 STAKEHOLDERS 29

1.8 SUMMARY OF CHANGES 30

2 RESEARCH METHODOLOGY 31

2.1 RESEARCH DATA 31

FIGURE 1 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESEARCH DESIGN 31

2.1.1 SECONDARY AND PRIMARY RESEARCH 33

2.1.2 SECONDARY DATA 33

2.1.2.1 List of major secondary sources 34

2.1.2.2 Secondary sources 34

2.1.3 PRIMARY DATA 35

2.1.3.1 Primary interviews with experts 35

2.1.3.2 Key industry insights 35

2.1.3.3 Breakdown of primaries 36

2.2 MARKET SIZE ESTIMATION 36

2.2.1 BOTTOM-UP APPROACH 36

2.2.1.1 Estimating market size by bottom-up approach (demand side) 36

FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 37

FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 2 BOTTOM-UP (SUPPLY SIDE)—ILLUSTRATION OF REVENUE ESTIMATION OF COMPANIES FROM SALES OF AI IN HEALTHCARE OFFERING 37

FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3—BOTTOM-UP (DEMAND SIDE) ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET, 

BY END USER 38

2.2.2 TOP-DOWN APPROACH 39

2.2.2.1 Estimating market size by top-down approach (supply side) 39

FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 39

FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE)—REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS 40

2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 41

FIGURE 7 DATA TRIANGULATION 41

2.4 RESEARCH ASSUMPTIONS 42

FIGURE 8 ASSUMPTIONS FOR RESEARCH STUDY 42

2.5 RISK ASSESSMENT 43

TABLE 1 LIMITATIONS AND ASSOCIATED RISKS 43

2.6 LIMITATIONS 43

3 EXECUTIVE SUMMARY 44

3.1 GROWTH RATE ASSUMPTIONS/GROWTH FORECAST 44

TABLE 2 GLOBAL AI IN HEALTHCARE MARKET, 2018–2020 (USD MILLION) 45

TABLE 3 GLOBAL AI IN HEALTHCARE MARKET, 2021–2027 (USD MILLION) 45

FIGURE 9 EFFECT OF COVID-19 ON AI IN HEALTHCARE MARKET 46

3.2 POST-COVID-19 SCENARIO 46

TABLE 4 POST-COVID-19 SCENARIO: AI IN HEALTHCARE MARKET, 

2021–2027 (USD MILLION) 46

3.3 OPTIMISTIC SCENARIO (POST-COVID-19) 46

TABLE 5 OPTIMISTIC SCENARIO (POST-COVID-19): AI IN HEALTHCARE MARKET, 2021–2027 (USD MILLION) 46

3.4 PESSIMISTIC SCENARIO (POST-COVID-19) 46

TABLE 6 PESSIMISTIC SCENARIO (POST-COVID-19): AI IN HEALTHCARE MARKET, 2021–2027 (USD BILLION) 46

FIGURE 10 SOFTWARE SEGMENT TO LEAD AI IN HEALTHCARE MARKET, IN TERMS OF SIZE, FROM 2018 TO 2027 47

FIGURE 11 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET 

IN 2021 48

4 PREMIUM INSIGHTS 49

4.1 ATTRACTIVE GROWTH OPPORTUNITIES IN AI IN HEALTHCARE MARKET 49

FIGURE 12 AVAILABILITY OF BIG DATA IN HEALTHCARE AND INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES ARE MAJOR FACTORS DRIVING MARKET GROWTH DURING 2021–2027 49

4.2 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 49

FIGURE 13 MACHINE LEARNING TECHNOLOGY TO ACCOUNT FOR LARGEST SIZE OF AI IN HEALTHCARE MARKET FROM 2021 TO 2027 49

4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY AND REGION 50

FIGURE 14 MACHINE LEARNING TECHNOLOGY AND NORTH AMERICA TO BE LARGEST SHAREHOLDERS OF AI IN HEALTHCARE MARKET IN IN 2021 50

4.4 AI IN HEALTHCARE MARKET, BY COUNTRY 50

FIGURE 15 AI IN HEALTHCARE MARKET IN CHINA AND MEXICO TO GROW AT HIGHEST CAGR FROM 2021 TO 2027 50

 

5 MARKET OVERVIEW 51

5.1 INTRODUCTION 51

5.2 MARKET DYNAMICS 52

FIGURE 16 AI IN HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, 

AND CHALLENGES 52

5.2.1 DRIVERS 53

5.2.1.1 Influx of large and complex healthcare datasets 53

5.2.1.2 Growing need to reduce healthcare costs 54

5.2.1.3 Improving computing power and declining hardware cost 55

5.2.1.4 Rising number of partnerships and collaborations among different domains in healthcare sector 55

5.2.1.5 Surging need for improvised healthcare services due to imbalance between health workforce and patients 57

5.2.2 RESTRAINTS 57

5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies 58

5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines 

for medical software 58

5.2.3 OPPORTUNITIES 59

5.2.3.1 Growing potential of AI-based tools for elderly care 59

5.2.3.2 Increasing focus on developing human-aware AI systems 60

5.2.3.3 Rising potential of AI technology in genomics, drug discovery, 

and imaging & diagnostics to fight COVID-19 60

5.2.4 CHALLENGES 61

5.2.4.1 Lack of curated healthcare data 61

5.2.4.2 Concerns regarding data privacy 61

FIGURE 17 TYPES OF HEALTHCARE BREACHES REPORTED TO US DEPARTMENT OF HEALTH AND HUMAN SERVICES (2019 TO 2021) 62

5.2.4.3 Lack of interoperability between AI solutions offered by different vendors 62

5.3 VALUE CHAIN ANALYSIS 62

FIGURE 18 AI IN HEALTHCARE MARKET VALUE CHAIN IN 2020 63

5.4 PORTER’S FIVE FORCES ANALYSIS 64

TABLE 7 AI IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS 64

5.5 ECOSYSTEM ANALYSIS 65

TABLE 8 ECOSYSTEM: AI IN HEALTHCARE MARKET 66

5.6 REVENUE SHIFT AND NEW REVENUE POCKETS FOR AI IN HEALTHCARE MARKET 67

FIGURE 19 YC–YCC SHIFT: AI IN HEALTHCARE MARKET 67

5.7 CASE STUDY ANALYSIS 68

5.7.1 USE CASE – BIOBEAT (ISRAEL) 68

5.7.2 USE CASE – CLEVELAND CLINIC AND MICROSOFT 68

5.7.3 USE CASE – GOVERNMENT OF INDIA, MICROSOFT, AND ACCENTURE 69

 

5.8 TECHNOLOGY ANALYSIS 69

5.8.1 CLOUD COMPUTING 69

5.8.2 CLOUD GPU 69

5.9 PRICING ANALYSIS 70

FIGURE 20 ASP OF PROCESSOR COMPONENTS, AI IN HEALTHCARE MARKET, 

2018–2027 (USD) 70

TABLE 9 ASP RANGE OF PROCESSOR COMPONENTS IN AI IN HEALTHCARE MARKET, 2018–2027 70

TABLE 10 ASP RANGE OF SERVER SOFTWARE IN AI IN HEALTHCARE MARKET 71

5.10 TRADE ANALYSIS 71

TABLE 11 EXPORTS DATA, BY COUNTRY, 2016–2020 71

FIGURE 21 EXPORTS DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2016–2020 (THOUSAND UNITS) 72

TABLE 12 IMPORTS DATA, BY COUNTRY, 2016–2020 72

FIGURE 22 IMPORTS DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2016–2020 (THOUSAND UNITS) 73

5.11 PATENT ANALYSIS 74

FIGURE 23 PATENT ANALYSIS: AI IN HEALTHCARE MARKET 74

TABLE 13 LIST OF PATENTS 75

5.12 REGULATORY LANDSCAPE 76

TABLE 14 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS 

AND CONTROLLERS ARE EXPORTED BY US, 2020 76

TABLE 15 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS 

AND CONTROLLERS ARE EXPORTED BY CHINA, 2020 77

TABLE 16 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS 

AND CONTROLLERS EXPORTED BY GERMANY, 2020 77

5.12.1 REGULATIONS 77

5.12.1.1 Export-import regulations 78

5.12.2 RESTRICTION OF HAZARDOUS SUBSTANCES (ROHS) AND WASTE ELECTRICAL AND ELECTRONIC EQUIPMENT (WEEE) 78

5.12.3 REGISTRATION, EVALUATION, AUTHORIZATION, AND RESTRICTION OF CHEMICALS (REACH) 79

5.12.4 GENERAL DATA PROTECTION REGULATION (GDPR) 79

6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING 80

6.1 INTRODUCTION 81

FIGURE 24 AI IN HEALTHCARE MARKET, BY OFFERING 81

FIGURE 25 SOFTWARE TO HOLD LARGEST SIZE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 82

TABLE 17 AI IN HEALTHCARE MARKET, BY OFFERING, 2018–2020 (USD MILLION) 82

TABLE 18 AI IN HEALTHCARE MARKET, BY OFFERING, 2021–2027 (USD MILLION) 82

6.2 HARDWARE 83

6.2.1 PROCESSORS, MEMORY DEVICES, AND NETWORK SYSTEMS ARE INALIENABLE HARDWARE COMPONENTS OF AI IN HEALTHCARE ECOSYSTEM 83

TABLE 19 AI IN HEALTHCARE MARKET, BY HARDWARE, 2018–2020 (USD MILLION) 83

TABLE 20 AI IN HEALTHCARE MARKET, BY HARDWARE, 2021–2027 (USD MILLION) 83

TABLE 21 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION, 

2018–2020 (USD MILLION) 83

TABLE 22 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION, 

2021–2027 (USD MILLION) 84

6.2.2 PROCESSOR 84

6.2.2.1 Intel (US), Nvidia (US), and Xilinx (US) are key providers of hardware components for AI applications 84

TABLE 23 AI IN HEALTHCARE MARKET, BY PROCESSOR TYPE, 

2018–2020 (MILLION UNITS) 84

TABLE 24 AI IN HEALTHCARE MARKET, BY PROCESSOR TYPE, 

2021–2027 (MILLION UNITS) 85

TABLE 25 AI IN HEALTHCARE MARKET, BY PROCESSOR TYPE, 

2018–2020 (USD MILLION) 85

TABLE 26 AI IN HEALTHCARE MARKET, BY PROCESSOR TYPE, 

2021–2027 (USD MILLION) 85

6.2.2.2 MPU/CPU 85

6.2.2.2.1 Use case: Dynalife and Altaml colon polyp project 86

6.2.2.3 GPU 86

6.2.2.3.1 Use case: University of Sydney, brain and mind center (SNAC) and Nvidia 86

6.2.2.4 FPGA 86

6.2.2.4.1 Use case: Xilinx and spline. AI 87

6.2.2.5 ASIC 87

6.2.2.5.1 Neureality: NR1-p Soc’s 87

6.2.3 MEMORY 87

6.2.3.1 High-bandwidth memory is being developed and deployed for 

AI applications, independent of its computing architecture 87

6.2.3.2 Case study: INTEL, DELL, and university of florida 88

6.2.4 NETWORK 88

6.2.4.1 Nvidia (US) and Intel (US) are key providers of network interconnect adapters for AI applications 88

6.2.4.2 Recent development: 88

TABLE 27 AI IN HEALTHCARE MARKET, BY NETWORK, 2018–2020 (MILLION UNITS) 89

TABLE 28 AI IN HEALTHCARE MARKET, BY NETWORK, 2021–2027 (MILLION UNITS) 89

TABLE 29 AI IN HEALTHCARE MARKET, BY NETWORK, 2018–2020 (USD MILLION) 89

TABLE 30 AI IN HEALTHCARE MARKET, BY NETWORK, 2021–2027 (USD MILLION) 89

6.3 SOFTWARE 90

6.3.1 SOFTWARE SEGMENT HOLDS LARGEST SHARE IN AI IN HEALTHCARE MARKET 90

TABLE 31 AI IN HEALTHCARE MARKET, BY SOFTWARE TYPE, 2018–2020 (USD MILLION) 90

TABLE 32 AI IN HEALTHCARE MARKET, BY SOFTWARE TYPE, 2021–2027 (USD MILLION) 90

TABLE 33 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION, 

2018–2020 (USD MILLION) 90

TABLE 34 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION, 

2021–2027 (USD MILLION) 91

6.3.2 AI SOLUTION 91

6.3.2.1 Case study: VA Hospital (TEXAS) and DeepMind health 91

TABLE 35 AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT MODE, 2018–2020 (USD MILLION) 91

TABLE 36 AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT MODE, 2021–2027 (USD MILLION) 91

6.3.2.2 On premises 92

6.3.2.2.1 Data-sensitive enterprises prefer advanced on-premises NLP and ML tools for use in AI solutions 92

6.3.2.2.2 Recent development: 92

6.3.2.3 Cloud 92

6.3.2.3.1 Cloud provides additional flexibility for business operations and real-time deployment ease to companies that are implementing real-time analytics 92

6.3.2.3.2 Case study: Google and Portal Telemedicina 92

6.3.3 AI PLATFORM 93

TABLE 37 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY AI PLATFORM, 

2018–2020 (USD MILLION) 93

TABLE 38 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY AI PLATFORM, 

2021–2027 (USD MILLION) 93

6.3.3.1 Machine learning framework 94

6.3.3.2 Application program interface 94

6.3.3.2.1 Case study: AWS and Caremonitor 94

6.4 SERVICES 94

6.4.1 BIG TECHNOLOGY COMPANIES SUCH AS MICROSOFT (US), AND GOOGLE (US) ARE PROVIDING CLOUD SERVICES FOR AI IN HEALTHCARE APPLICATIONS 94

TABLE 39 AI IN HEALTHCARE MARKET, BY SERVICE TYPE, 2018–2020 (USD MILLION) 95

TABLE 40 AI IN HEALTHCARE MARKET, BY SERVICE TYPE, 2021–2027 (USD MILLION) 95

TABLE 41 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION, 

2018–2020 (USD MILLION) 95

TABLE 42 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION, 

2021–2027 (USD MILLION) 95

6.4.2 DEPLOYMENT & INTEGRATION 96

6.4.3 SUPPORT & MAINTENANCE 96

7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY 97

7.1 INTRODUCTION 98

FIGURE 26 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 98

FIGURE 27 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SIZE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 98

TABLE 43 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2018–2020 (USD MILLION) 99

TABLE 44 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2021–2027 (USD MILLION) 99

7.2 MACHINE LEARNING 99

7.2.1 CASE STUDY: MAYO CLINIC AND GOOGLE 100

TABLE 45 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING, BY TYPE, 

2018–2020 (USD MILLION) 100

TABLE 46 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING, BY TYPE, 

2021–2027 (USD MILLION) 100

7.2.2 DEEP LEARNING 101

7.2.2.1 Deep learning enables machines to build hierarchical representations 101

7.2.2.2 Case study: Johns Hopkins university and Google 102

7.2.3 SUPERVISED LEARNING 102

7.2.3.1 Classification and regression are major segments of supervised learning 102

7.2.4 REINFORCEMENT LEARNING 102

7.2.4.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of systems 102

7.2.5 UNSUPERVISED LEARNING 102

7.2.5.1 Unsupervised learning includes clustering methods consisting of algorithms with unlabeled training data 102

7.2.6 OTHERS 103

7.3 NATURAL LANGUAGE PROCESSING 103

7.3.1 NLP IS WIDELY USED BY CLINICAL AND RESEARCH COMMUNITIES IN HEALTHCARE 103

7.3.2 CASE STUDY: ROCHE AND JOHN SNOW LABS 103

7.3.3 CASE STUDY: DEEP 6 AI AND JOHN SNOW LABS 104

TABLE 47 AI IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, 

BY TYPE, 2018–2020 (USD MILLION) 104

TABLE 48 AI IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, 

BY TYPE, 2021–2027 (USD MILLION) 104

7.4 CONTEXT-AWARE COMPUTING 105

7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED GROWTH OF CONTEXT-AWARE COMPUTING 105

7.4.2 RECENT DEVELOPMENT: PEGASYSTEMS 105

TABLE 49 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2018–2020 (USD MILLION) 105

TABLE 50 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2021–2027 (USD MILLION) 106

7.5 COMPUTER VISION 106

7.5.1 COMPUTER VISION TECHNOLOGY HAS SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY 106

7.5.2 RECENT DEVELOPMENT: NORTHWESTERN MEMORIAL HOSPITAL AND NVIDIA 106

8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION 107

8.1 INTRODUCTION 108

FIGURE 28 AI IN HEALTHCARE MARKET, BY APPLICATION 108

FIGURE 29 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SIZE OF 

AI IN HEALTHCARE MARKET IN 2027 109

TABLE 51 AI IN HEALTHCARE MARKET, BY APPLICATION, 2018–2020 (USD MILLION) 109

TABLE 52 AI IN HEALTHCARE MARKET, BY APPLICATION, 2021–2027 (USD MILLION) 110

 

8.2 PATIENT DATA & RISK ANALYSIS 110

8.2.1 GROWTH IN HEALTHCARE DATASETS AND PATIENTS’ HISTORIES HAS LED TO ADOPTION OF PATIENT DATA & RISK ANALYSIS SOLUTIONS 110

8.2.2 USE CASE: UNIVERSITY OF NOTTINGHAM 111

8.2.3 USE CASE: CLEVELAND CLINIC AND MICROSOFT 111

TABLE 53 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, 

BY REGION, 2018–2020 (USD MILLION) 111

TABLE 54 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, 

BY REGION, 2021–2027 (USD MILLION) 111

TABLE 55 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, 

BY END USER, 2018–2020 (USD MILLION) 112

TABLE 56 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, 

BY END USER, 2021–2027 (USD MILLION) 112

8.3 INPATIENT CARE & HOSPITAL MANAGEMENT 112

8.3.1 EXCESSIVE OPERATIONAL COSTS TO GENERATE DEMAND FOR AI-BASED INPATIENT CARE AND HOSPITAL MANAGEMENT SOLUTIONS 112

8.3.2 USE CASE: QURE.AI AND ROYAL BOLTON HOSPITAL 113

TABLE 57 AI IN HEALTHCARE MARKET FOR INPATIENT CARE & HOSPITAL MANAGEMENT, BY REGION, 2018–2020 (USD MILLION) 113

TABLE 58 AI IN HEALTHCARE MARKET FOR INPATIENT CARE & HOSPITAL MANAGEMENT, BY REGION, 2021–2027 (USD MILLION) 113

TABLE 59 AI IN HEALTHCARE MARKET FOR INPATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2018–2020 (USD MILLION) 114

TABLE 60 AI IN HEALTHCARE MARKET FOR INPATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2021–2027 (USD MILLION) 114

8.4 MEDICAL IMAGING & DIAGNOSTICS 114

8.4.1 LEVERAGING CAPABILITIES OF HIGH-END GPU IN GENERATING HIGHLY ACCURATE IMAGING DATA HAS LED TO GROWTH OF AI-BASED MEDICAL IMAGING & DIAGNOSTICS SOLUTIONS 114

8.4.2 USE CASE: ULTRONICS, ZEBRA MEDICAL VISION, AI2, AND FUJIFILM SONOSITE 115

TABLE 61 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, 

BY REGION, 2018–2020 (USD MILLION) 115

TABLE 62 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, 

BY REGION, 2021–2027 (USD MILLION) 115

TABLE 63 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, 

BY END USER, 2018–2020 (USD MILLION) 116

TABLE 64 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS, 

BY END USER, 2021–2027 (USD MILLION) 116

8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING 116

8.5.1 GROWTH IN AI-DRIVEN REMOTE PATIENT MONITORING SOLUTIONS SUCH AS MEDICAL WEARABLES HAS HELPED DOCTORS REDUCE BURDEN ON HOSPITALS DURING COVID-19 PANDEMIC 116

8.5.2 RECENT DEVELOPMENTS: 116

TABLE 65 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY REGION, 2018–2020 (USD MILLION) 117

TABLE 66 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY REGION, 2021–2027 (USD MILLION) 117

TABLE 67 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY END USER, 2018–2020 (USD MILLION) 117

TABLE 68 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING, BY END USER, 2021–2027 (USD MILLION) 118

8.6 VIRTUAL ASSISTANTS 118

8.6.1 INCREASING NEED TO DISSEMINATE PRECISE MEDICAL INFORMATION AMONG VULNERABLE POPULATIONS HAS RESULTED IN GROWTH OF VIRTUAL ASSISTANTS 118

8.6.2 KEY DEVELOPMENTS: 118

8.6.3 CASE STUDY: GOVERNMENT OF INDIA 119

TABLE 69 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION, 

2018–2020 (USD MILLION) 119

TABLE 70 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION, 

2021–2027 (USD MILLION) 119

TABLE 71 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY END USER, 

2018–2020 (USD MILLION) 119

TABLE 72 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY END USER, 

2021–2027 (USD MILLION) 120

8.7 DRUG DISCOVERY 120

8.7.1 AI IS EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY 120

8.7.2 RECENT DEVELOPMENTS: 120

TABLE 73 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY REGION, 

2018–2020 (USD MILLION) 121

TABLE 74 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY REGION, 

2021–2027 (USD MILLION) 121

TABLE 75 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY END USER, 

2018–2020 (USD MILLION) 121

TABLE 76 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY END USER, 

2021–2027 (USD MILLION) 122

8.8 RESEARCH 122

8.8.1 USE OF AI ALGORITHMS BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING DRIVES ADOPTION OF AI IN RESEARCH 122

8.8.2 USE CASES: NUMEDII, 4QUANT, AND DESKTOP GENETICS 122

TABLE 77 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION, 

2018–2020 (USD MILLION) 123

TABLE 78 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION, 

2021–2027 (USD MILLION) 123

TABLE 79 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER, 

2018–2020 (USD MILLION) 123

TABLE 80 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER, 

2021–2027 (USD MILLION) 123

8.9 HEALTHCARE ASSISTANCE ROBOTS 124

8.9.1 HEALTHCARE ASSISTANT ROBOTS HAVE SIGNIFICANTLY HELPED IN REDUCING NEED FOR ROUND THE CLOCK MANUAL NURSING CARE 124

8.9.2 USE CASES: MAYO CLINIC 124

TABLE 81 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, 

BY REGION, 2018–2020 (USD MILLION) 124

TABLE 82 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, 

BY REGION, 2021–2027 (USD MILLION) 124

TABLE 83 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, 

BY END USER, 2018–2020 (USD MILLION) 125

TABLE 84 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, 

BY END USER, 2021–2027 (USD MILLION) 125

8.10 PRECISION MEDICINE 125

8.10.1 AI IS EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE 125

8.10.2 RECENT DEVELOPMENTS: 125

TABLE 85 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION, 

2018–2020 (USD MILLION) 126

TABLE 86 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION, 

2021–2027 (USD MILLION) 126

TABLE 87 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER, 2018–2020 (USD MILLION) 126

TABLE 88 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER, 2021–2027 (USD MILLION) 127

8.11 EMERGENCY ROOM & SURGERY 127

8.11.1 LIMITED AVAILABILITY OF SKILLED WORKFORCE IN EMERGENCY ROOMS 

AND DEMAND TO SUPPORT CLINICIANS WITH SURGICAL DATA TO DRIVE ADOPTION OF AI IN EMERGENCY ROOM AND SURGERY 127

8.11.2 USE CASE: THE HOSPITAL FOR SICK CHILDREN (TORONTO, CANADA) 127

TABLE 89 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY REGION, 2018–2020 (USD MILLION) 128

TABLE 90 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, 

BY REGION, 2021–2027 (USD MILLION) 128

TABLE 91 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, 

BY END USER, 2018–2020 (USD MILLION) 128

TABLE 92 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, 

BY END USER, 2021–2027 (USD MILLION) 128

8.12 WEARABLES 129

8.12.1 REAL-TIME PATIENT MONITORING AND GENERATION OF DATA OF VITAL SIGNS DIAGNOSTICS TO BOOST DEMAND FOR AI IN WEARABLES 129

8.12.2 USE CASE: KENSCI AND MICROSOFT 129

TABLE 93 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION, 

2018–2020 (USD MILLION) 129

TABLE 94 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION, 

2021–2027 (USD MILLION) 129

TABLE 95 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER, 

2018–2020 (USD MILLION) 130

TABLE 96 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER, 

2021–2027 (USD MILLION) 130

8.13 MENTAL HEALTH 130

8.13.1 USE OF AI IN DIAGNOSING MENTAL DISTRESS AND NEUROLOGICAL ABNORMALITIES HAS LED TO GROWING ADOPTION OF AI IN MENTAL HEALTH 130

8.13.2 USE CASE: COGNOA 130

TABLE 97 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION, 

2018–2020 (USD MILLION) 131

TABLE 98 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION, 

2021–2027 (USD MILLION) 131

TABLE 99 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER, 

2018–2020 (USD MILLION) 131

TABLE 100 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER, 

2021–2027 (USD MILLION) 131

8.14 CYBERSECURITY 132

8.14.1 AI IN HEALTHCARE CYBERSECURITY IS BECOMING CRITICAL FOR PROTECTING ONSITE SYSTEMS 132

TABLE 101 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY REGION, 

2018–2020 (USD MILLION) 132

TABLE 102 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY REGION, 

2021–2027 (USD MILLION) 133

TABLE 103 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY END USER, 

2018–2020 (USD MILLION) 133

TABLE 104 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY END USER, 

2021–2027 (USD MILLION) 133

9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER 134

9.1 INTRODUCTION 135

FIGURE 30 AI IN HEALTHCARE MARKET, BY END USER 135

FIGURE 31 HOSPITALS & HEALTHCARE PROVIDERS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD 136

TABLE 105 AI IN HEALTHCARE MARKET, BY END USER, 2018–2020 (USD MILLION) 136

TABLE 106 AI IN HEALTHCARE MARKET, BY END USER, 2021–2027 (USD MILLION) 136

9.2 HOSPITALS AND HEALTHCARE PROVIDERS 137

9.2.1 AI CAN BE UTILIZED TO PREDICT AND PREVENT READMISSIONS 

AND IMPROVE OPERATIONS OF HOSPITALS AND CARE PROVIDERS 137

9.2.2 RECENT DEVELOPMENTS: 137

TABLE 107 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS, BY APPLICATION, 2018–2020 (USD MILLION) 138

TABLE 108 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS, BY APPLICATION, 2021–2027 (USD MILLION) 138

TABLE 109 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS, BY REGION, 2018–2020 (USD MILLION) 139

TABLE 110 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS, BY REGION, 2021–2027 (USD MILLION) 139

9.3 PATIENTS 139

9.3.1 INCREASING POPULARITY OF SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF AI AMONG PATIENTS 139

9.3.2 USE CASE: KENSCI AND MICROSOFT 140

9.3.3 USE CASE: BIOBEAT 140

TABLE 111 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION, 

2018–2020 (USD MILLION) 140

TABLE 112 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION, 

2021–2027 (USD MILLION) 140

TABLE 113 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 

2018–2020 (USD MILLION) 141

TABLE 114 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION, 

2021–2027 (USD MILLION) 141

9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES 141

9.4.1 APPLICATIONS SUCH AS DRUG DISCOVERY, PRECISION MEDICINE, 

AND RESEARCH ARE EXPECTED TO DRIVE USE OF AI BY PHARMACEUTICALS AND BIOTECHNOLOGY COMPANIES 141

9.4.2 RECENT DEVELOPMENTS: 142

TABLE 115 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2018–2020 (USD MILLION) 142

TABLE 116 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2021–2027 (USD MILLION) 143

TABLE 117 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2018–2020 (USD MILLION) 143

TABLE 118 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2021–2027 (USD MILLION) 143

9.5 HEALTHCARE PAYERS 144

9.5.1 HEALTHCARE PAYERS USE AI TOOLS MAINLY FOR MANAGING RISKS, IDENTIFYING CLAIM TRENDS, AND MAXIMIZING PAYMENT ACCURACY 144

9.5.2 RECENT DEVELOPMENTS: 144

TABLE 119 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION, 2018–2020 (USD MILLION) 145

TABLE 120 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION, 2021–2027 (USD MILLION) 145

TABLE 121 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION, 

2018–2020 (USD MILLION) 145

TABLE 122 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION, 

2021–2027 (USD MILLION) 145

9.6 OTHERS 146

TABLE 123 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION, 

2018–2020 (USD MILLION) 146

TABLE 124 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION, 

2021–2027 (USD MILLION) 147

TABLE 125 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 

2018–2020 (USD MILLION) 147

TABLE 126 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 

2021–2027 (USD MILLION) 147

10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GEOGRAPHIC ANALYSIS 148

10.1 INTRODUCTION 149

FIGURE 32 CHINA AND US ARE EMERGING AS NEW HOTSPOTS FOR AI IN HEALTHCARE MARKET 149

FIGURE 33 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 150

TABLE 127 AI IN HEALTHCARE MARKET, BY REGION, 2018–2020 (USD MILLION) 150

TABLE 128 AI IN HEALTHCARE MARKET, BY REGION, 2021–2027 (USD MILLION) 150

 

10.2 NORTH AMERICA 151

FIGURE 34 NORTH AMERICA: SNAPSHOT OF AI IN HEALTHCARE MARKET 151

TABLE 129 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY, 

2018–2020 (USD MILLION) 152

TABLE 130 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY, 

2021–2027 (USD MILLION) 152

TABLE 131 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY APPLICATION, 

2018–2020 (USD MILLION) 152

TABLE 132 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY APPLICATION, 

2021–2027 (USD MILLION) 153

10.2.1 US 153

10.2.1.1 High healthcare spending combined with increasing demand for AI in medical sector due to COVID-19 pandemic to complement growth of AI market in US 153

10.2.1.2 Recent developments: 154

10.2.2 CANADA 154

10.2.2.1 Continuous research on NLP and ML across research institutions 

and universities in Canada to propel AI in healthcare market 154

10.2.2.2 Recent developments: 155

10.2.3 MEXICO 155

10.2.3.1 AI-enabled devices for healthcare sector have been gaining traction in Mexico 155

10.2.3.2 Recent developments: 155

10.3 EUROPE 156

FIGURE 35 EUROPE: SNAPSHOT OF AI IN HEALTHCARE MARKET 157

TABLE 133 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 

2018–2020 (USD MILLION) 158

TABLE 134 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 

2021–2027 (USD MILLION) 158

TABLE 135 AI IN HEALTHCARE MARKET IN EUROPE, BY APPLICATION, 

2018–2020 (USD MILLION) 159

TABLE 136 AI IN HEALTHCARE MARKET IN EUROPE, BY APPLICATION, 

2021–2027 (USD MILLION) 159

10.3.1 GERMANY 160

10.3.1.1 Government initiatives to expedite AI development supporting AI in healthcare market growth in Germany 160

10.3.1.2 Recent developments: 160

10.3.2 UK 160

10.3.2.1 Adoption of AI in drug discovery space is fueling growth of AI in healthcare market in UK 160

10.3.2.2 Recent developments: 161

10.3.3 FRANCE 161

10.3.3.1 Government endeavors to develop healthcare IT in France is likely to support AI in healthcare market 161

10.3.3.2 Recent developments: 161

 

10.3.4 ITALY 162

10.3.4.1 Development of electronic health records and aging population are driving market growth in Italy 162

10.3.4.2 Recent developments: 162

10.3.5 SPAIN 163

10.3.5.1 Growing awareness of AI in Spain is favoring AI in healthcare market growth 163

10.3.5.2 Recent developments: 163

10.3.6 REST OF EUROPE 163

10.4 APAC 164

FIGURE 36 APAC: SNAPSHOT OF AI IN HEALTHCARE MARKET 165

TABLE 137 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 

2018–2020 (USD MILLION) 166

TABLE 138 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 

2021–2027 (USD MILLION) 166

TABLE 139 AI IN HEALTHCARE MARKET IN APAC, BY APPLICATION, 

2018–2020 (USD MILLION) 167

TABLE 140 AI IN HEALTHCARE MARKET IN APAC, BY APPLICATION, 

2021–2027 (USD MILLION) 167

10.4.1 CHINA 168

10.4.1.1 Concrete government measures to accelerate AI development are fueling AI in healthcare market growth in China 168

10.4.1.2 Recent developments: 168

10.4.2 JAPAN 169

10.4.2.1 AI applications to expedite drug discovery is motivating growth of 

AI in healthcare market in Japan 169

10.4.3 SOUTH KOREA 169

10.4.3.1 Quality healthcare services and rapid expansion of medical insurance coverage are motivating growth of AI in healthcare market in South Korea 169

10.4.3.2 Recent developments: 170

10.4.4 INDIA 170

10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives supporting growth of AI in healthcare market in India 170

10.4.4.2 Recent developments: 171

10.4.5 REST OF ASIA PACIFIC 171

10.4.5.1 Recent developments: 171

10.5 ROW 171

FIGURE 37 ROW: SNAPSHOT OF AI IN HEALTHCARE MARKET 172

TABLE 141 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2018–2020 (USD MILLION) 172

TABLE 142 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2021–2027 (USD MILLION) 172

TABLE 143 AI IN HEALTHCARE MARKET IN ROW, BY APPLICATION, 

2018–2020 (USD MILLION) 173

TABLE 144 AI IN HEALTHCARE MARKET IN ROW, BY APPLICATION, 

2021–2027 (USD MILLION) 173

 

10.5.1 SOUTH AMERICA 174

10.5.1.1 Heavy investments in healthcare IT are driving growth of market in South America 174

10.5.2 MIDDLE EAST AND AFRICA 174

10.5.2.1 Growing healthcare expenditure in Middle East and North Africa is fostering growth of AI in healthcare market 174

10.5.2.2 Recent developments: 175

11 COMPETITIVE LANDSCAPE 176

11.1 KEY PLAYER STRATEGIES/RIGHT TO WIN 176

11.2 OVERVIEW 176

11.3 TOP 5 COMPANY REVENUE ANALYSIS 177

FIGURE 38 3 YEARS REVENUE ANALYSIS OF TOP 5 PLAYERS IN AI IN HEALTHCARE MARKET 177

11.4 MARKET SHARE ANALYSIS (2020) 177

TABLE 145 AI IN HEALTHCARE MARKET: MARKET SHARE ANALYSIS 178

11.5 COMPANY EVALUATION QUADRANT, 2020 179

11.5.1 STAR 179

11.5.2 PERVASIVE 179

11.5.3 EMERGING LEADER 179

11.5.4 PARTICIPANT 179

FIGURE 39 AI IN HEALTHCARE MARKET (GLOBAL) COMPANY EVALUATION QUADRANT, 2020 180

11.6 SMALL AND MEDIUM ENTERPRISES (SME) EVALUATION QUADRANT, 2020 180

11.6.1 PROGRESSIVE COMPANY 180

11.6.2 RESPONSIVE COMPANY 180

11.6.3 DYNAMIC COMPANY 181

11.6.4 STARTING BLOCK 181

FIGURE 40 AI IN HEALTHCARE MARKET (GLOBAL), SME EVALUATION QUADRANT, 2020 181

TABLE 146 AI IN HEALTHCARE MARKET: COMPANY FOOTPRINT 182

TABLE 147 COMPANY END USER FOOTPRINT 183

TABLE 148 COMPANY APPLICATION FOOTPRINT 184

TABLE 149 COMPANY REGION FOOTPRINT 185

11.7 COMPETITIVE SCENARIO 187

TABLE 150 AI IN HEALTHCARE MARKET: PRODUCT LAUNCHES AND DEVELOPMENTS, MARCH 2019 TO OCTOBER 2021 187

TABLE 151 AI IN HEALTHCARE MARKET: DEALS, MARCH 2019−OCTOBER 2021 188

 

12 COMPANY PROFILES 189

(Business overview, Products/solutions/services offered, Recent developments & MnM View)*

12.1 KEY PLAYERS 189

12.1.1 INTEL 189

TABLE 152 INTEL: BUSINESS OVERVIEW 189

FIGURE 41 INTEL: COMPANY SNAPSHOT 190

12.1.2 KONINKLIJKE PHILIPS 194

TABLE 153 KONINKLIJKE PHILIPS: BUSINESS OVERVIEW 194

FIGURE 42 KONINKLIJKE PHILIPS: COMPANY SNAPSHOT 195

12.1.3 MICROSOFT 199

TABLE 154 MICROSOFT: BUSINESS OVERVIEW 199

FIGURE 43 MICROSOFT: COMPANY SNAPSHOT 200

12.1.4 IBM 204

TABLE 155 IBM: BUSINESS OVERVIEW 204

FIGURE 44 IBM: COMPANY SNAPSHOT 205

12.1.5 SIEMENS HEALTHINEERS 208

TABLE 156 SIEMENS HEALTHINEERS: BUSINESS OVERVIEW 208

FIGURE 45 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT 209

12.1.6 NVIDIA 212

TABLE 157 NVIDIA: BUSINESS OVERVIEW 212

FIGURE 46 NVIDIA: COMPANY SNAPSHOT 213

12.1.7 GOOGLE 216

TABLE 158 GOOGLE: BUSINESS OVERVIEW 216

FIGURE 47 GOOGLE: COMPANY SNAPSHOT 217

12.1.8 GENERAL ELECTRIC (GE) COMPANY 219

TABLE 159 GENERAL ELECTRIC: BUSINESS OVERVIEW 219

FIGURE 48 GENERAL ELECTRIC: COMPANY SNAPSHOT 220

12.1.9 MEDTRONIC 222

TABLE 160 MEDTRONIC: BUSINESS OVERVIEW 222

FIGURE 49 MEDTRONIC: COMPANY SNAPSHOT 223

12.1.10 MICRON TECHNOLOGY 225

TABLE 161 MICRON TECHNOLOGY: BUSINESS OVERVIEW 225

FIGURE 50 MICRON TECHNOLOGY: COMPANY SNAPSHOT 226

12.1.11 AMAZON WEB SERVICES (AWS) 228

TABLE 162 AMAZON WEB SERVICES (AWS): BUSINESS OVERVIEW 228

FIGURE 51 AMAZON WEB SERVICES: COMPANY SNAPSHOT 228

12.1.12 JOHNSON & JOHNSON 231

TABLE 163 JOHNSON & JOHNSON: BUSINESS OVERVIEW 231

FIGURE 52 JOHNSON & JOHNSON: COMPANY SNAPSHOT 232

*Details on Business overview, Products/solutions/services offered, Recent developments & MnM View might not be captured in case of unlisted companies.

12.2 STARTUP ECOSYSTEM 233

12.2.1 GENERAL VISION 233

12.2.2 CLOUDMEDX 234

12.2.3 ONCORA MEDICAL 234

12.2.4 ENLITIC 235

12.2.5 LUNIT 235

12.2.6 QURE.AI 236

12.2.7 PRECISION HEALTH AI 236

12.2.8 COTA 237

12.2.9 FDNA 237

12.2.10 RECURSION PHARMACEUTICALS 238

12.2.11 ATOMWISE 238

12.2.12 WELLTOK 239

12.2.13 BABYLON HEALTH 239

12.2.14 MDLIVE (EVERNORTH GROUP) 240

12.2.15 GAUSS SURGICAL 240

12.2.16 QVENTUS 241

12.2.17 DESKTOP GENETICS 241

12.2.18 CYLANCE 242

12.2.19 GINGER.IO 242

12.2.20 PILLO 243