Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026

新型コロナウイルス感染症の影響による医療における人工知能の世界市場予測(~2026):提供方式別、技術別、最終用途別、エンドユーザー別、地域別

◆タイトル:Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026
◆商品コード:SE 5225
◆調査・発行会社:MarketsandMarkets
◆発行日:2020年6月9日
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◆レポート形式:PDF / 英語
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【レポートの概要】

MarketsandMarkets社は新型コロナウイルス感染症の影響による医療における人工知能の世界市場が2020年134億ドルから2025年257億ドルまで、年平均14.0%成長すると見込んでいます。本調査レポートでは、新型コロナウイルス感染症の影響による医療における人工知能の世界市場を詳細に調査・分析し、イントロダクション、調査手法、プレミアムインサイト、市場概要、提供方式別(ハードウェア、ソフトウェア、サービス) 分析、技術別(機械学習、自然言語処理、コンテキストアウェアコンピューティング、コンピュータビジョン)分析、エンドユース別(患者データ・リスク分析、入院治療・病院管理、医療用画像・診断、ライフスタイル管理・リモート患者モニタリング、仮想アシスタント)分析、エンドユーザー別(病院・医療提供者、患者、医薬品・バイオテクノロジー企業、医療費支払い)分析、地域別分析、競争状況、企業概要などを含めています。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場概要
・新型コロナウイルス感染症の影響による医療における人工知能の世界市場規模:提供方式別(ハードウェア、ソフトウェア、サービス)
・新型コロナウイルス感染症の影響による医療における人工知能の世界市場規模:技術別(機械学習、自然言語処理、コンテキストアウェアコンピューティング、コンピュータビジョン)
・新型コロナウイルス感染症の影響による医療における人工知能の世界市場規模:エンドユース別(患者データ・リスク分析、入院治療・病院管理、医療用画像・診断、ライフスタイル管理・リモート患者モニタリング、仮想アシスタント)
・新型コロナウイルス感染症の影響による医療における人工知能の世界市場規模:エンドユーザー別(病院・医療提供者、患者、医薬品・バイオテクノロジー企業、医療費支払い)
・新型コロナウイルス感染症の影響による医療における人工知能の世界市場規模:地域別
・競争状況
・企業概要

“AI in healthcare market projected to grow at a CAGR of 44.9% from 2020 to 2026.”
The global AI in healthcare market is expected to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026; it is projected to grow at a CAGR of 44.9% during the forecast period. The major factors driving the growth of the market are the increasing volume of healthcare data and growing complexities of datasets, the intensifying need to reduce towering healthcare costs, improving computing power and declining hardware costs, growing number of cross-industry partnerships and collaborations, and rising imbalance between health workforce and patients driving the need for improvised healthcare services.
Another major driving factor fueling the market growth currently is the adoption of this technology by multiple pharmaceutical and biotechnology companies across the world to expedite vaccine or drug development processes for COVID-19. The major restraint for the market is the reluctance among medical practitioners to adopt AI-based technologies and lack of skilled workforce.

“MPU processor segment expected to hold largest share in AI in healthcare in 2020”
An MPU contains all or most of the CPU functions and is the engine that goes into motion when the computer is on. A microprocessor is specially designed to perform arithmetic and logic operations that use small number-holding areas called registers. Typical microprocessor operations include adding, subtracting, comparing two numbers, and fetching numbers. These operations are the result of a set of instructions that are part of the microprocessor design.

“AI in healthcare market for machine learning projected to grow at highest CAGR during forecast period”
Growing adoption of deep learning in various healthcare applications, especially in the areas of medical imaging, disease diagnostics, and drug discovery, and the use of different sensors and devices to track a patient’s health status in real time are supplementing the growth of the market.
Patient data & risk analysis segment to capture largest share of AI in healthcare market
The growth of the patient data & risk analysis segment is attributed to the increasing adoption of EMRs and various advantages offered by AI systems to healthcare service providers, patients, pharmaceuticals companies, and payers.

Breakdown of profiles of primary participants:
• By Company Type: Tier 1 – 40%, Tier 2 – 25%, and Tier 3 – 35%
• By Designation: C-level Executives – 45%, Directors – 25%, and Others – 30%
• By Region: North America – 55%, Europe – 15%, Asia Pacific (APAC)– 20%, and the Rest of the World (RoW) – 10%

Major players in the AI in healthcare market are NVIDIA Corporation (NVIDIA) (US), Intel Corporation (Intel) (US), International Business Machines Corporation (IBM) (US), Google Inc. (Google) (US), Microsoft Corporation (Microsoft) (US), Amazon Web Services (an Amazon.com, Inc. subsidiary) (AWS) (US), General Vision, Inc. (US), General Electric (GE) Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US), Johnson & Johnson Services, Inc. (Johnson & Johnson) (US), and Koninklijke Philips N.V. (Netherlands).

Research Coverage:
The AI in healthcare market has been segmented based on offering, technology, end-use application, and end user. It also provides a detailed view of the market across 4 main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:
• This report includes statistics pertaining to the AI in healthcare market based on offering, technology, end-use application, end user, and geography.
• This report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the AI in healthcare market.
• The report includes illustrative segmentation, analysis, and forecast for the AI in healthcare market based on its segments and subsegments.

【レポートの目次】

1 INTRODUCTION 22
1.1 STUDY OBJECTIVES 22
1.2 MARKET DEFINITION 22
1.2.1 INCLUSIONS AND EXCLUSIONS 23
1.3 STUDY SCOPE 24
1.3.1 MARKETS COVERED 24
1.3.2 YEARS CONSIDERED 25
1.4 CURRENCY 25
1.5 STAKEHOLDERS 25

2 RESEARCH METHODOLOGY 26
2.1 RESEARCH DATA 26
2.1.1 SECONDARY AND PRIMARY RESEARCH 28
2.1.1.1 Key industry insights 28
2.1.2 SECONDARY DATA 29
2.1.2.1 List of major secondary sources 29
2.1.2.2 Secondary sources 30
2.1.3 PRIMARY DATA 30
2.1.3.1 Primary interviews with experts 30
2.1.3.2 Breakdown of primaries 31
2.1.3.3 Key data from primary sources 31
2.2 MARKET SIZE ESTIMATION 32
2.2.1 BOTTOM-UP APPROACH 35
2.2.1.1 Estimating market size by bottom-up approach (demand side) 35
2.2.2 TOP-DOWN APPROACH 36
2.2.2.1 Estimating market size by top-down approach (supply side) 36
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 37
2.4 RESEARCH ASSUMPTIONS 38

3 EXECUTIVE SUMMARY 39
3.1 COVID-19 IMPACT ANALYSIS: AI IN HEALTHCARE MARKET 45
3.1.1 PRE-COVID-19 SCENARIO 45
3.1.2 REALISTIC SCENARIO 45
3.1.3 OPTIMISTIC SCENARIO 46
3.1.4 PESSIMISTIC SCENARIO 46

4 PREMIUM INSIGHTS 47
4.1 ATTRACTIVE OPPORTUNITIES IN AI IN HEALTHCARE MARKET 47
4.2 AI IN HEALTHCARE MARKET, BY OFFERING 47
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 48
4.4 EUROPE: AI IN HEALTHCARE MARKET, BY END USER AND COUNTRY 48
4.5 AI IN HEALTHCARE MARKET, BY COUNTRY 49

5 MARKET OVERVIEW 50
5.1 INTRODUCTION 50
5.2 MARKET DYNAMICS 51
5.2.1 DRIVERS 52
5.2.1.1 Influx of large and complex healthcare datasets 52
5.2.1.2 Growing need to reduce healthcare costs 53
5.2.1.3 Improving computing power and declining hardware cost 54
5.2.1.4 Growing number of cross-industry partnerships and collaborations 55
5.2.1.5 Rising need for improvised healthcare services due to imbalance between health workforce and patients 56
5.2.2 RESTRAINTS 57
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies 57
5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software 58
5.2.3 OPPORTUNITIES 58
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 59
5.2.3.3 Growing potential of AI-technology in genomics, drug discovery,
and imaging & diagnostics to fight COVID-19 59
5.2.4 CHALLENGES 60
5.2.4.1 Lack of curated healthcare data 60
5.2.4.2 Concerns regarding data privacy 61
5.2.4.3 Lack of interoperability between AI solutions offered by different vendors 61
5.3 VALUE CHAIN ANALYSIS 62
5.4 CASE STUDIES 63
5.4.1 MAYO CLINIC’S CENTER FOR INDIVIDUALIZED MEDICINE COLLABORATED WITH TEMPUS TO PERSONALIZE CANCER TREATMENT 63
5.4.2 MICROSOFT COLLABORATED WITH CLEVELAND CLINIC TO IDENTIFY POTENTIAL AT-RISK PATIENTS UNDER ICU CARE 63
5.4.3 NVIDIA AND MASSACHUSETTS GENERAL HOSPITAL PARTNERED TO USE ARTIFICIAL INTELLIGENCE FOR ADVANCED RADIOLOGY, PATHOLOGY,
AND GENOMICS 64
5.4.4 MICROSOFT PARTNERED WITH WEIL CORNELL MEDICINE TO DEVELOP AI-POWERED CHATBOT 64
5.4.5 PARTNERS HEALTHCARE AND GE HEALTHCARE ENTERED INTO 10-YEAR COLLABORATION FOR INTEGRATING AI ACROSS CONTINUUM OF CARE 64
5.4.6 ULTRONICS, ZEBRA MEDICAL VISION, AI2 INCUBATOR, AND FUJIFILM SONOSITE ARE USING AI PLATFORM FOR ENHANCING MEDICAL IMAGING ANALYSIS 64
5.4.7 NUMEDII, 4QUANT, AND DESKTOP GENETICS TO USE AI FOR RESEARCH AND DEVELOPMENT 65
5.4.8 NUANCE LAUNCHED DRAGON MEDICAL VIRTUAL ASSISTANT 65
5.4.9 GE HEALTHCARE LAUNCHED COMMAND CENTER FOR EMERGENCY ROOMS AND SURGERIES 65
5.4.10 AISERVE OFFERS AI WEARABLE FOR BLIND AND PARTIALLY SIGHTED 65
5.5 IMPACT OF COVID-19 ON AI IN HEALTHCARE MARKET 66

6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING 68
6.1 INTRODUCTION 69
6.2 HARDWARE 70
6.2.1 PROCESSOR 71
6.2.1.1 MPU 72
6.2.1.2 GPU 73
6.2.1.3 FPGA 73
6.2.1.4 ASIC 73
6.2.2 MEMORY 74
6.2.2.1 High-bandwidth memory is being developed and deployed for
AI applications, independent of its computing architecture 74
6.2.3 NETWORK 74
6.2.3.1 NVIDIA (US) and Intel (US) are key providers of network interconnect adapters for AI applications 74
6.3 SOFTWARE 75
6.3.1 AI SOLUTIONS 76
6.3.1.1 On-premises 77
6.3.1.1.1 Data-sensitive enterprises prefer advanced on-premises NLP and ML tools for use in AI solutions 77
6.3.1.2 Cloud 77
6.3.1.2.1 Cloud provides additional flexibility for business operations and real-time deployment ease to companies that are implementing real-time analytics 77
6.3.2 AI PLATFORM 78
6.3.2.1 Machine learning framework 78
6.3.2.1.1 Major tech companies such as Google, IBM, and Microsoft are developing and offering ML frameworks 78
6.3.2.2 Application program interface (API) 79
6.3.2.2.1 APIs are used during programming of graphical user interface (GUI) components 79
6.4 SERVICES 79
6.4.1 DEPLOYMENT & INTEGRATION 80
6.4.1.1 Need for deployment and integration services for AI hardware and software solutions is supplementing growth of this segment 80
6.4.2 SUPPORT & MAINTENANCE 80
6.4.2.1 Maintenance services are required to keep the performance of systems at an acceptable standard 80

7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY 81
7.1 INTRODUCTION 82
7.2 MACHINE LEARNING 83
7.2.1 DEEP LEARNING 84
7.2.1.1 Deep learning enables machines to build hierarchical representations 84
7.2.2 SUPERVISED LEARNING 85
7.2.2.1 Classification and regression are major segments of supervised learning 85
7.2.3 REINFORCEMENT LEARNING 85
7.2.3.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of systems 85
7.2.4 UNSUPERVISED LEARNING 85
7.2.4.1 Unsupervised learning includes clustering methods consisting of algorithms with unlabeled training data 85
7.2.5 OTHERS 85
7.3 NATURAL LANGUAGE PROCESSING 86
7.3.1 NLP IS WIDELY USED BY CLINICAL AND RESEARCH COMMUNITY IN HEALTHCARE 86
7.4 CONTEXT-AWARE COMPUTING 87
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED GROWTH OF CONTEXT-AWARE COMPUTING 87
7.5 COMPUTER VISION 88
7.5.1 COMPUTER VISION TECHNOLOGY HAS SHOWN SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY 88

8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USE APPLICATION 89
8.1 INTRODUCTION 90
8.2 PATIENT DATA AND RISK ANALYSIS 91
8.2.1 GROWTH IN HEALTHCARE DATA HAS ESCALATED USE OF PATIENT DATA
AND RISK ANALYSIS SOLUTIONS 91
8.3 INPATIENT CARE & HOSPITAL MANAGEMENT 93
8.3.1 DEMAND TO REDUCE OPERATIONAL COST IN HOSPITALS TO GENERATE DEMAND FOR AI-BASED INPATIENT CARE AND HOSPITAL MANAGEMENT SOLUTIONS 93
8.4 MEDICAL IMAGING & DIAGNOSTICS 94
8.4.1 GROWTH IN MEDICAL IMAGING DATA HAS PROPELLED USE OF AI IN MEDICAL IMAGING AND DIAGNOSTICS APPLICATION 94
8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING 96
8.5.1 AI SOLUTIONS FOR LIFESTYLE MANAGEMENT AND MONITORING HELP PATIENTS IN MAKING HEALTHIER LIFESTYLE CHANGES 96
8.6 VIRTUAL ASSISTANTS 97
8.6.1 INCREASING DEMAND TO IMPROVE FOLLOW-UP CARE, ESPECIALLY FOR PATIENTS WITH CHRONIC DISEASES, IS DRIVING GROWTH OF VIRTUAL ASSISTANTS SEGMENT 97
8.7 DRUG DISCOVERY 99
8.7.1 AI IS EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY 99
8.8 RESEARCH 100
8.8.1 USE OF AI ALGORITHMS BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING DRIVES ADOPTION OF AI IN RESEARCH 100
8.9 HEALTHCARE ASSISTANCE ROBOTS 102
8.9.1 HEALTHCARE ASSISTANCE ROBOTS HAVE BEEN ADOPTED IN SEVERAL AREAS THAT DIRECTLY AFFECT PATIENT CARE 102
8.10 PRECISION MEDICINE 103
8.10.1 AI IS EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE 103
8.11 EMERGENCY ROOM & SURGERY 105
8.11.1 LIMITED WORKFORCE IN EMERGENCY ROOMS AND DEMAND TO SUPPORT CLINICIANS WITH SURGICAL DATA TO DRIVE GROWTH OF AI IN EMERGENCY ROOM AND SURGERY 105
8.12 WEARABLES 107
8.12.1 WEARABLE DEVICES ARE CLINICALLY USEFUL FOR IMPROVING REAL-TIME MONITORING OF PATIENTS 107
8.13 MENTAL HEALTH 108
8.13.1 GLOBAL INCREASE IN MENTAL DISORDERS IS KEY SUPPORTING FACTOR FOR GROWING USE OF AI IN MENTAL HEALTH APPLICATION 108
8.14 CYBERSECURITY 109
8.14.1 AI IN HEALTHCARE CYBERSECURITY IS BECOMING CRITICAL FOR PROTECTING ONSITE SYSTEMS 109

9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER 111
9.1 INTRODUCTION 112
9.2 HOSPITALS AND HEALTHCARE PROVIDERS 113
9.2.1 AI CAN BE UTILIZED TO PREDICT AND PREVENT READMISSIONS,
AND IMPROVE OPERATIONS OF HOSPITALS AND CARE PROVIDERS 113
9.3 PATIENTS 117
9.3.1 SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF
AI AMONG PATIENTS 117
9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES 120
9.4.1 APPLICATIONS SUCH AS DRUG DISCOVERY, PRECISION MEDICINE,
AND RESEARCH ARE EXPECTED TO DRIVE USE OF AI BY PHARMACEUTICALS AND BIOTECHNOLOGY COMPANIES 120
9.5 HEALTHCARE PAYERS 124
9.5.1 HEALTHCARE PAYERS USE AI TOOLS MAINLY FOR MANAGING RISKS, IDENTIFYING CLAIMS TRENDS, AND MAXIMIZING PAYMENT ACCURACY 124
9.6 OTHERS 127
9.6.1 PATIENT DATA AND RISK ANALYSIS, AND HEALTHCARE ASSISTANCE ROBOTS TO DRIVE USE OF AI BY ACOS AND MCOS 127

10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION 130
10.1 INTRODUCTION 131
10.2 NORTH AMERICA 133
10.2.1 US 137
10.2.1.1 High healthcare spending to complement the growth of AI in the US 137
10.2.2 CANADA 139
10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada to propel AI in healthcare market 139
10.2.3 MEXICO 140
10.2.3.1 AI-enabled devices for the healthcare sector have been gaining traction in Mexico 140
10.3 EUROPE 141
10.3.1 GERMANY 145
10.3.1.1 Government initiatives to expedite AI development supporting AI in healthcare market growth in Germany 145
10.3.2 UK 146
10.3.2.1 Adoption of AI in drug discovery space is fueling growth of AI in healthcare market in UK 146
10.3.3 FRANCE 147
10.3.3.1 Government endeavors to develop healthcare IT in France is likely to support AI in healthcare market 147
10.3.4 ITALY 149
10.3.4.1 Development of electronic health records and aging population is driving market growth in Italy 149
10.3.5 SPAIN 150
10.3.5.1 Growing awareness of AI in Spain is favoring AI in healthcare market growth 150
10.3.6 REST OF EUROPE 151
10.4 ASIA PACIFIC 152
10.4.1 CHINA 157
10.4.1.1 Concrete government measures to accelerate AI development is fueling AI in healthcare market growth in China 157
10.4.2 JAPAN 158
10.4.2.1 AI application to expedite drug discovery is motivating growth of AI in healthcare market in Japan 158
10.4.3 SOUTH KOREA 159
10.4.3.1 Quality healthcare services and rapid expansion of medical
insurance coverage is motivating growth of AI in healthcare market
in South Korea 159
10.4.4 INDIA 160
10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives supporting growth of AI in healthcare market in India 160
10.4.5 REST OF ASIA PACIFIC 161
10.5 REST OF THE WORLD 162
10.5.1 SOUTH AMERICA 164
10.5.1.1 Heavy investment in healthcare IT is driving growth of market in
South America 164
10.5.2 MIDDLE EAST AND AFRICA 165
10.5.2.1 Growing healthcare expenditure in Middle East and North Africa is fostering growth of AI in healthcare market 165

11 COMPETITIVE LANDSCAPE 167
11.1 OVERVIEW 167
11.2 RANKING OF PLAYERS, 2019 168
11.3 COMPETITIVE LEADERSHIP MAPPING 170
11.3.1 VISIONARY LEADERS 170
11.3.2 DYNAMIC DIFFERENTIATORS 170
11.3.3 INNOVATORS 170
11.3.4 EMERGING COMPANIES 171
11.4 COMPETITIVE SCENARIO 172
11.4.1 PRODUCT DEVELOPMENTS AND LAUNCHES 173
11.4.2 COLLABORATIONS, PARTNERSHIPS, AND STRATEGIC ALLIANCES 175
11.4.3 ACQUISITIONS & JOINT VENTURES 178

12 COMPANY PROFILES 180
(Business overview, Products offered, Recent developments, SWOT analysis & MnM View)*
12.1 KEY PLAYERS 180
12.1.1 NVIDIA 180
12.1.2 INTEL 185
12.1.3 IBM 189
12.1.4 GOOGLE 193
12.1.5 MICROSOFT 197
12.1.6 GENERAL ELECTRIC (GE) COMPANY 201
12.1.7 SIEMENS HEALTHINEERS (A STRATEGIC UNIT OF SIEMENS GROUP) 205
12.1.8 MEDTRONIC 208
12.1.9 MICRON TECHNOLOGY 211
12.1.10 AMAZON WEB SERVICES (AWS) 215
*Details on Business overview, Products offered, Recent developments, SWOT analysis & MnM View might not be captured in case of unlisted companies.
12.2 RIGHT TO WIN 219
12.3 OTHER MAJOR COMPANIES 220
12.3.1 JOHNSON & JOHNSON SERVICES 220
12.3.2 KONINKLIJKE PHILIPS 220
12.3.3 GENERAL VISION 221
12.4 COMPANY PROFILES, BY APPLICATION 222
12.4.1 PATIENT DATA & RISK ANALYSIS 222
12.4.1.1 CloudMedx 222
12.4.1.2 Oncora medical 222
12.4.1.3 Anju life sciences software 223
12.4.1.4 CareSkore 223
12.4.1.5 Linguamatics 224
12.4.2 MEDICAL IMAGING & DIAGNOSTICS 224
12.4.2.1 Enlitic 224
12.4.2.2 Lunit 225
12.4.2.3 CureMetrix 225
12.4.2.4 Qure.ai 226
12.4.2.5 ContextVision 226
12.4.2.6 Caption health 227
12.4.2.7 Butterfly networks 227
12.4.2.8 Imagia cybernetics 228
12.4.3 PRECISION MEDICINE 229
12.4.3.1 Precision health AI 229
12.4.3.2 Cota 229
12.4.3.3 FDNA 230
12.4.4 DRUG DISCOVERY 230
12.4.4.1 Recursion pharmaceuticals 230
12.4.4.2 Atomwise 231
12.4.4.3 Deep genomics 231
12.4.4.4 Cloud pharmaceuticals 232
12.4.5 LIFESTYLE MANAGEMENT & MONITORING 232
12.4.5.1 Welltok 232
12.4.5.2 Vitagene 233
12.4.5.3 Lucina health 233
12.4.6 VIRTUAL ASSISTANTS 234
12.4.6.1 Next IT (A verint systems company) 234
12.4.6.2 Babylon 235
12.4.6.3 MDLIVE 235
12.4.7 WEARABLES 236
12.4.7.1 Magnea 236
12.4.7.2 PhysIQ 236
12.4.7.3 Cyrcadia health 237
12.4.8 EMERGENCY ROOM & SURGERY 237
12.4.8.1 Caresyntax 237
12.4.8.2 Gauss surgical 238
12.4.8.3 Perceive 3D 238
12.4.8.4 MaxQ AI 239
12.4.9 INPATIENT CARE & HOSPITAL MANAGEMENT 239
12.4.9.1 Qventus 239
12.4.9.2 WorkFusion 240
12.4.10 RESEARCH 240
12.4.10.1 iCarbonX 240
12.4.10.2 Desktop genetics 241
12.4.11 CYBERSECURITY 241
12.4.11.1 Darktrace 241
12.4.11.2 Cylance 242
12.4.11.3 LexisNexis risk solutions 242
12.4.11.4 Securonix 243
12.4.12 MENTAL HEALTH 243
12.4.12.1 Ginger.io 243
12.4.12.2 X2AI 244
12.4.12.3 BioBeats 244
12.4.13 HEALTHCARE ASSISTANCE ROBOTS 245
12.4.13.1 Pillo 245
12.4.13.2 Catalia health 245

13 APPENDIX 246
13.1 INSIGHTS FROM INDUSTRY EXPERTS 246
13.2 DISCUSSION GUIDE 246
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 251
13.4 AVAILABLE CUSTOMIZATIONS 253
13.5 RELATED REPORTS 253
13.6 AUTHOR DETAILS 255

LIST OF TABLES

TABLE 1 AI IN HEALTHCARE MARKET, BY OFFERING, 2017–2026 (USD MILLION) 70
TABLE 2 AI IN HEALTHCARE MARKET, BY HARDWARE, 2017–2026 (USD MILLION) 70
TABLE 3 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION,
2017–2026 (USD MILLION) 71
TABLE 4 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2017–2026 (USD MILLION) 72
TABLE 5 AI IN HEALTHCARE MARKET, BY SOFTWARE, 2017–2026 (USD MILLION) 75
TABLE 6 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION,
2017–2026 (USD MILLION) 76
TABLE 7 AI IN HEALTHCARE MARKET FOR SOLUTION, BY DEPLOYMENT,
2017–2026 (USD MILLION) 77
TABLE 8 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY PLATFORM,
2017–2026 (USD MILLION) 78
TABLE 9 AI IN HEALTHCARE MARKET, BY SERVICES, 2017–2026 (USD MILLION) 79
TABLE 10 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION,
2017–2026 (USD MILLION) 80
TABLE 11 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2017–2026 (USD MILLION) 83
TABLE 12 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING, BY TYPE,
2017–2026 (USD MILLION) 83
TABLE 13 AI IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, BY TYPE, 2017–2026 (USD MILLION) 86
TABLE 14 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE,
2017–2026 (USD MILLION) 87
TABLE 15 AI IN HEALTHCARE MARKET, BY END-USE APPLICATION,
2017–2026 (USD MILLION) 91
TABLE 16 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY REGION, 2017–2026 (USD MILLION) 92
TABLE 17 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS,
BY END USER, 2017–2026 (USD MILLION) 92
TABLE 18 AI IN HEALTHCARE MARKET FOR INPATIENT CARE & HOSPITAL MANAGEMENT,
BY REGION, 2017–2026 (USD MILLION) 93
TABLE 19 AI IN HEALTHCARE MARKET FOR INPATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2017–2026 (USD MILLION) 94
TABLE 20 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS,
BY REGION, 2017–2026 (USD MILLION) 95
TABLE 21 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS,
BY END USER, 2017–2026 (USD MILLION) 95
TABLE 22 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING,
BY REGION, 2017–2026 (USD MILLION) 97
TABLE 23 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING,
BY END USER, 2017–2026 (USD MILLION) 97
TABLE 24 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION,
2017–2026 (USD MILLION) 98
TABLE 25 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANTS, BY END USER,
2017–2026 (USD MILLION) 98
TABLE 26 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY REGION,
2017–2026 (USD MILLION) 99
TABLE 27 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY END USER,
2017–2026 (USD MILLION) 100
TABLE 28 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION,
2017–2026 (USD MILLION) 101
TABLE 29 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER,
2017–2026 (USD MILLION) 101
TABLE 30 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY REGION, 2017–2026 (USD MILLION) 102
TABLE 31 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS,
BY END USER, 2017–2026 (USD MILLION) 103
TABLE 32 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION,
2017–2026 (USD MILLION) 104
TABLE 33 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER,
2017–2026 (USD MILLION) 104
TABLE 34 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY REGION, 2017–2026 (USD MILLION) 106
TABLE 35 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY END USER, 2017–2026 (USD MILLION) 106
TABLE 36 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION,
2017–2026 (USD MILLION) 107
TABLE 37 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER,
2017–2026 (USD MILLION) 107
TABLE 38 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION,
2017–2026 (USD MILLION) 108
TABLE 39 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER,
2017–2026 (USD MILLION) 109
TABLE 40 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY REGION,
2017–2026 (USD MILLION) 110
TABLE 41 AI IN HEALTHCARE MARKET FOR CYBERSECURITY, BY END USER,
2017–2026 (USD MILLION) 110
TABLE 42 AI IN HEALTHCARE MARKET, BY END USER, 2017–2026 (USD MILLION) 113
TABLE 43 AI IN HEALTHCARE MARKET FOR HOSPITAL AND HEALTHCARE PROVIDERS,
BY APPLICATION, 2017–2026 (USD MILLION) 114
TABLE 44 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS,
BY REGION, 2017–2026 (USD MILLION) 115
TABLE 45 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS
IN NORTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION) 115
TABLE 46 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS
IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION) 116
TABLE 47 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS
IN APAC, BY COUNTRY, 2017–2026 (USD MILLION) 116
TABLE 48 AI IN HEALTHCARE MARKET FOR HOSPITALS AND HEALTHCARE PROVIDERS
IN ROW, BY REGION, 2017–2026 (USD MILLION) 116
TABLE 49 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION,
2017–2026 (USD MILLION) 118
TABLE 50 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION,
2017–2026 (USD MILLION) 118
TABLE 51 AI IN HEALTHCARE MARKET FOR PATIENTS IN NORTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION) 118
TABLE 52 AI IN HEALTHCARE MARKET FOR PATIENTS IN EUROPE, BY COUNTRY,
2017–2026 (USD MILLION) 119
TABLE 53 AI IN HEALTHCARE MARKET FOR PATIENTS IN APAC, BY COUNTRY,
2017–2026 (USD MILLION) 119
TABLE 54 AI IN HEALTHCARE MARKET FOR PATIENTS IN ROW, BY REGION,
2017–2026 (USD MILLION) 119
TABLE 55 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2017–2026 (USD MILLION) 121
TABLE 56 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES, BY REGION, 2017–2026 (USD MILLION) 122
TABLE 57 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN NORTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION) 122
TABLE 58 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION) 123
TABLE 59 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN APAC, BY COUNTRY, 2017–2026 (USD MILLION) 123
TABLE 60 AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES IN ROW, BY REGION, 2017–2026 (USD MILLION) 123
TABLE 61 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION,
2017–2026 (USD MILLION) 125
TABLE 62 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION,
2017–2026 (USD MILLION) 125
TABLE 63 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN NORTH AMERICA,
BY COUNTRY, 2017–2026 (USD MILLION) 126
TABLE 64 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION) 126
TABLE 65 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN APAC, BY COUNTRY, 2017–2026 (USD MILLION) 126
TABLE 66 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS IN ROW, BY REGION, 2017–2026 (USD MILLION) 127
TABLE 67 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION,
2017–2026 (USD MILLION) 128
TABLE 68 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2017–2026 (USD MILLION) 128
TABLE 69 AI IN HEALTHCARE MARKET FOR OTHERS IN NORTH AMERICA, BY COUNTRY, 2017–2026 (USD MILLION) 128
TABLE 70 AI IN HEALTHCARE MARKET FOR OTHERS IN EUROPE, BY COUNTRY,
2017–2026 (USD MILLION) 129
TABLE 71 AI IN HEALTHCARE MARKET FOR OTHERS IN APAC, BY COUNTRY,
2017–2026 (USD MILLION) 129
TABLE 72 AI IN HEALTHCARE MARKET FOR OTHERS IN ROW, BY REGION,
2017–2026 (USD MILLION) 129
TABLE 73 AI IN HEALTHCARE MARKET, BY REGION, 2017–2026 (USD MILLION) 133
TABLE 74 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY,
2017–2026 (USD MILLION) 135
TABLE 75 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY END USER,
2017–2026 (USD MILLION) 135
TABLE 76 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY OFFERING,
2017–2026 (USD MILLION) 136
TABLE 77 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY APPLICATION,
2017–2026 (USD MILLION) 137
TABLE 78 AI IN HEALTHCARE MARKET IN US, BY END USER, 2017–2026 (USD MILLION) 138
TABLE 79 AI IN HEALTHCARE MARKET IN CANADA, BY END USER,
2017–2026 (USD MILLION) 139
TABLE 80 AI IN HEALTHCARE MARKET IN MEXICO, BY END USER, 2017–2026 (USD MILLION) 140
TABLE 81 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 2017–2026 (USD MILLION) 143
TABLE 82 AI IN HEALTHCARE MARKET IN EUROPE, BY END USER,
2017–2026 (USD MILLION) 144
TABLE 83 AI IN HEALTHCARE MARKET IN EUROPE, BY OFFERING,
2017–2026 (USD MILLION) 144
TABLE 84 AI IN HEALTHCARE MARKET IN EUROPE, BY APPLICATION,
2017–2026 (USD MILLION) 145
TABLE 85 AI IN HEALTHCARE MARKET IN GERMANY, BY END USER,
2017–2026 (USD MILLION) 146
TABLE 86 AI IN HEALTHCARE MARKET IN UK, BY END USER, 2017–2026 (USD MILLION) 147
TABLE 87 AI IN HEALTHCARE MARKET IN FRANCE, BY END USER,
2017–2026 (USD MILLION) 148
TABLE 88 AI IN HEALTHCARE MARKET IN ITALY, BY END USER, 2017–2026 (USD MILLION) 149
TABLE 89 AI IN HEALTHCARE MARKET IN SPAIN, BY END USER, 2017–2026 (USD MILLION) 150
TABLE 90 AI IN HEALTHCARE MARKET IN REST OF EUROPE, BY END USER,
2017–2026 (USD MILLION) 151
TABLE 91 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 2017–2026 (USD MILLION) 154
TABLE 92 AI IN HEALTHCARE MARKET IN APAC, BY END USER, 2017–2026 (USD MILLION) 154
TABLE 93 AI IN HEALTHCARE MARKET IN APAC, BY OFFERING, 2017–2026 (USD MILLION) 155
TABLE 94 AI IN HEALTHCARE MARKET IN APAC, BY APPLICATION, 2017–2026 (USD MILLION) 156
TABLE 95 AI IN HEALTHCARE MARKET IN CHINA, BY END USER, 2017–2026 (USD MILLION) 157
TABLE 96 AI IN HEALTHCARE MARKET IN JAPAN, BY END USER, 2017–2026 (USD MILLION) 158
TABLE 97 AI IN HEALTHCARE MARKET IN SOUTH KOREA, BY END USER,
2017–2026 (USD MILLION) 159
TABLE 98 AI IN HEALTHCARE MARKET IN INDIA, BY END USER, 2017–2026 (USD MILLION) 161
TABLE 99 AI IN HEALTHCARE MARKET IN REST OF ASIA PACIFIC, BY END USER,
2017–2026 (USD MILLION) 161
TABLE 100 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2017–2026 (USD MILLION) 162
TABLE 101 AI IN HEALTHCARE MARKET IN ROW, BY END USER, 2017–2026 (USD MILLION) 163
TABLE 102 AI IN HEALTHCARE MARKET IN ROW, BY OFFERING, 2017–2026 (USD MILLION) 163
TABLE 103 AI IN HEALTHCARE MARKET IN ROW, BY APPLICATION, 2017–2026 (USD MILLION) 164
TABLE 104 AI IN HEALTHCARE MARKET IN SOUTH AMERICA, BY END USER,
2017–2026 (USD MILLION) 165
TABLE 105 AI IN HEALTHCARE MARKET IN MIDDLE EAST & AFRICA, BY END USER,
2017–2026 (USD MILLION) 166


LIST OF FIGURES

FIGURE 1 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESEARCH DESIGN 26
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 1 (SUPPLY SIDE)—REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS 32
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 33
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: APPROACH 3—BOTTOM-UP
(DEMAND SIDE) ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET,
BY END USER 34
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 35
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 36
FIGURE 7 DATA TRIANGULATION 37
FIGURE 8 ASSUMPTIONS FOR THE RESEARCH STUDY 38
FIGURE 9 AI IN HEALTHCARE MARKET, BY OFFERING, 2020 VS. 2026 (USD MILLION) 40
FIGURE 10 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2020 VS. 2026 (USD MILLION) 41
FIGURE 11 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2017–2026 (USD MILLION) 42
FIGURE 12 AI IN HEALTHCARE MARKET, BY APPLICATION, 2020 VS. 2026 (USD MILLION) 43
FIGURE 13 AI IN HEALTHCARE MARKET, BY END USER, 2020 VS. 2026 (USD MILLION) 44
FIGURE 14 AI IN HEALTHCARE MARKET, BY REGION, 2020 44
FIGURE 15 ANALYZING AI IN HEALTHCARE MARKET SCENARIOS 45
FIGURE 16 AVAILABILITY OF BIG DATA IN HEALTHCARE AND INCREASING ADOPTION OF
AI-BASED TOOLS IN HEALTHCARE FACILITIES ARE MAJOR FACTORS DRIVING MARKET GROWTH 47
FIGURE 17 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 47
FIGURE 18 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2020 TO 2026 48
FIGURE 19 GERMANY EXPECTED TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET
IN 2020 IN EUROPE 48
FIGURE 20 US TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2020 49
FIGURE 21 INCREASINGLY LARGE AND COMPLEX DATASETS AND GROWING DEMAND TO REDUCE HEALTHCARE COSTS ARE DRIVING MARKET GROWTH 51
FIGURE 22 TYPES OF HEALTHCARE BREACHES REPORTED TO US DEPARTMENT
OF HEALTH AND HUMAN SERVICES (2018 TO 2020) 61
FIGURE 23 AI IN HEALTHCARE MARKET VALUE CHAIN IN 2019 62
FIGURE 24 SOFTWARE TO HOLD LARGEST SIZE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 69
FIGURE 25 AI IN HEALTHCARE PROCESSOR MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 72
FIGURE 26 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR SOFTWARE DURING FORECAST PERIOD 76
FIGURE 27 MACHINE LEARNING TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 82
FIGURE 28 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SIZE OF
AI IN HEALTHCARE MARKET IN 2026 90
FIGURE 29 NORTH AMERICA TO LEAD LIFESTYLE MANAGEMENT & MONITORING APPLICATION DURING FORECAST PERIOD 96
FIGURE 30 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET
FOR RESEARCH DURING FORECAST PERIOD 101
FIGURE 31 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET
FOR EMERGENCY ROOM & SURGERY APPLICATION IN 2020 105
FIGURE 32 HOSPITAL AND HEALTHCARE PROVIDERS TO HOLD LARGEST SHARE OF
AI IN HEALTHCARE MARKET IN 2020 AND 2026 112
FIGURE 33 VIRTUAL ASSISTANTS APPLICATION TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FOR PATIENTS DURING FORECAST PERIOD 117
FIGURE 34 MEDICAL IMAGING & DIAGNOSTICS APPLICATION TO WITNESS HIGHEST CAGR
IN AI IN HEALTHCARE MARKET FOR PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES DURING FORECAST PERIOD 121
FIGURE 35 CYBERSECURITY APPLICATION TO HOLD LARGER SHARE OF AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS DURING FORECAST PERIOD 125
FIGURE 36 CHINA AND US ARE EMERGING AS NEW HOTSPOTS FOR
AI IN HEALTHCARE MARKET 132
FIGURE 37 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 132
FIGURE 38 NORTH AMERICA: SNAPSHOT OF AI IN HEALTHCARE MARKET 134
FIGURE 39 NORTH AMERICA AI IN HEALTHCARE MARKET FOR SERVICE OFFERINGS
TO CAPTURE HIGHEST CAGR DURING FORECAST PERIOD 136
FIGURE 40 EUROPE: SNAPSHOT OF AI IN HEALTHCARE MARKET 142
FIGURE 41 HOSPITALS & PROVIDERS SEGMENT TO HOLD LARGEST SHARE OF EUROPEAN
AI IN HEALTHCARE MARKET IN 2020 143
FIGURE 42 APAC: SNAPSHOT OF AI IN HEALTHCARE MARKET 153
FIGURE 43 SERVICE OFFERINGS TO WITNESS HIGHEST CAGR IN APAC AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 155
FIGURE 44 ROW: SNAPSHOT OF AI IN HEALTHCARE MARKET 162
FIGURE 45 HOSPITALS & PROVIDERS TO BE LARGEST END USER SEGMENT IN ROW
AI IN HEALTHCARE MARKET IN 2020 163
FIGURE 46 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN HEALTHCARE MARKET FROM 2017 TO MID-2020 167
FIGURE 47 RANKING OF KEY COMPANIES IN AI IN HEALTHCARE MARKET (2019) 168
FIGURE 48 AI IN HEALTHCARE MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019 171
FIGURE 49 COLLABORATIONS, PARTNERSHIPS, AND STRATEGIC ALLIANCES WAS THE KEY STRATEGY ADOPTED BY MARKET PLAYERS FROM JANUARY 2017 TO MARCH 2020 172
FIGURE 50 NVIDIA: COMPANY SNAPSHOT 181
FIGURE 51 INTEL: COMPANY SNAPSHOT 185
FIGURE 52 IBM: COMPANY SNAPSHOT 189
FIGURE 53 GOOGLE: COMPANY SNAPSHOT 193
FIGURE 54 MICROSOFT: COMPANY SNAPSHOT 197
FIGURE 55 GE: COMPANY SNAPSHOT 201
FIGURE 56 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT 205
FIGURE 57 MEDTRONIC: COMPANY SNAPSHOT 208
FIGURE 58 MICRON TECHNOLOGY: COMPANY SNAPSHOT 211
FIGURE 59 AWS: COMPANY SNAPSHOT 215


★調査レポート[新型コロナウイルス感染症の影響による医療における人工知能の世界市場予測(~2026):提供方式別、技術別、最終用途別、エンドユーザー別、地域別] ( Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026 / SE 5225) 販売に関する免責事項
[新型コロナウイルス感染症の影響による医療における人工知能の世界市場予測(~2026):提供方式別、技術別、最終用途別、エンドユーザー別、地域別] ( Artificial Intelligence in Healthcare Market with Covid-19 Impact Analysis by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User and Region - Global Forecast to 2026 / SE 5225) についてEメールでお問い合わせ


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