ヘルスケアにおけるAI(人工知能)の世界市場予測(~2025年)

【英語タイトル】Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-Aware Computing, Computer Vision), End-Use Application, End User, and Geography – Global Forecast to 2025

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・発行日:2018年12月18日
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・レポート言語:英語
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ヘルスケアにおけるAI(人工知能)の世界市場は、2018年の21億米ドルから2024年には361億米ドルに達し、この期間中50.2%の年平均成長率で成長すると予測されています。この市場の成長を促す要因として、ビッグデータとして利用可能な増大し続ける複雑なデータセット、増加する医療費を削減するニーズの高まり、そしてコンピューティング能力の向上とハードウェアコストの低下などが考えられます。一方で、AIベースの技術を採用することへの消極的な医療従事者の姿勢、および医療ソフトウェアに関する熟練した労働力と規制ガイドラインの欠如により、市場の成長は抑制される可能性があります。当調査レポートでは、ヘルスケアにおけるAI(人工知能)の世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、提供(ハードウェア、ソフトウェア、サービス)分析、技術(機械学習、NLP、コンテキストアウェアコンピューティング、コンピュータービジョン)分析、最終用途分析、エンドユーザー分析、ヘルスケアにおけるAI(人工知能)の世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。
【レポートの概要】

“AI in healthcare market projected to grow at 50.2% CAGR during 2018–2025” The AI in healthcare market is expected to grow from USD 2.1 billion in 2018 to USD 36.1 billion by 2025, at a CAGR of 50.2% during the forecast period. Increasingly large and complex data set available in the form of big data and growing need to reduce the increasing healthcare cost drive the growth of this market. Improving computing power and declining cost of hardware are other key factors driving this market. However, reluctance among medical practitioners to adopt AI-based technologies and the lack of skilled workforce and ambiguous regulatory guidelines for medical software are among the major factors restraining the growth of the AI in healthcare market.
“Services segment to witness highest growth rate among other offerings during forecast period”
Growing adoption of AI solutions is expected to propel the growth of services segment, which is expected to witness the highest growth. For the successful deployment of AI, there is a need for deployment and integration, and support and maintenance services. Most companies that manufacture and develop AI systems and software provide both online and offline support depending on the applications.
“Machine learning to hold largest market followed by NLP in AI healthcare market”
Machine learning’s ability to collect and handle big data and increasing adoption of ML by hospitals, research centers, pharmaceutical companies, and other healthcare institutions to improve patient health are fueling its growth in AI in healthcare market. The growing adoption of NLP is applications such as patient-data and risk analysis, lifestyle management and monitoring, and mental health is propelling the growth of this technology in the market
“Hospitals and providers to hold largest market during forecast period”
The hospitals and providers segment is expected to hold the largest size of AI in healthcare market in terms of end user, during the forecast period. A few major factors responsible for the high share of the hospitals and providers segment include a large number of applications of AI solutions across provider settings; ability of AI systems to improve care delivery, patient experience, and bring down costs; and growing adoption of electronic health records by healthcare organizations. Moreover, AI-based tools, such as voice recognition software and clinical decision support systems, help streamline workflow processes in hospitals, lower cost, improve care delivery, and enhance patient experience.

“North America to witness highest growth from 2018 to 2025”
North America to likely to witness the highest CAGR during the forecast period. The US is considered one of the major contributors in the North American AI in healthcare market. The US is one of the leading countries in the world to adopt AI technology across the continuum of care. Moreover, high consumerization of personal care products—routine check-up medical tools and wearable devices—is further complementing the growth of AI in healthcare market.
In the process of determining and verifying the market size for several segments and subsegments gathered through the secondary research, extensive primary interviews have been conducted with key industry experts in the AI in healthcare marketspace. The break-up of primary participants for the report has been shown below:
• 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 – 20%, APAC – 15%, and RoW – 10
The report profiles key players in the AI in healthcare market with their respective market ranking analysis. Prominent players profiled in this report are NVIDIA (US), Intel (US), IBM (US), Google (US), Microsoft (US), AWS (US), General Vision (US), GE Healthcare (US), Siemens Healthineers (Germany), Medtronic plc (US), Johnson & Johnson (US), and Koninklijke Philips N.V. (Netherlands).
Research Coverage:
This research report categorizes the global AI market on the basis of offering, technology, end-use application, end user, and geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in healthcare market and forecasts the same till 2025.
Key Benefits of Buying the Report
The report would help leaders/new entrants in this market in the following ways:
1. This report segments the AI in healthcare market comprehensively and provides the closest market size projection for all subsegments across different regions.
2. The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth.
3. The report helps stakeholders to understand value-chain of AI in healthcare market along with recent case studies.
4. This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes product launch, acquisition, collaboration, expansion, and partnership.

【レポートの目次】

TABLE OF CONTENTS

1 INTRODUCTION 20
1.1 STUDY OBJECTIVES 20
1.2 MARKET DEFINITION 20
1.3 STUDY SCOPE 21
1.3.1 MARKETS COVERED 21
1.3.2 YEARS CONSIDERED 22
1.4 CURRENCY 22
1.5 STAKEHOLDERS 22
2 RESEARCH METHODOLOGY 23
2.1 RESEARCH DATA 23
2.1.1 SECONDARY AND PRIMARY RESEARCH 25
2.1.1.1 Key industry insights 25
2.1.2 SECONDARY DATA 26
2.1.2.1 List of major secondary sources 26
2.1.2.2 Secondary sources 26
2.1.3 PRIMARY DATA 27
2.1.3.1 Primary interviews with experts 27
2.1.3.2 Breakdown of primaries 27
2.1.3.3 Primary sources 28
2.2 MARKET SIZE ESTIMATION 28
2.2.1 BOTTOM-UP APPROACH 28
2.2.1.1 Approach for capturing the market share by bottom-up analysis (demand side) 29
2.2.2 TOP-DOWN APPROACH 30
2.2.2.1 Approach for capturing the market share by top-down analysis (supply side) 30
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 31
2.4 RESEARCH ASSUMPTIONS 32
3 EXECUTIVE SUMMARY 33
4 PREMIUM INSIGHTS 40
4.1 ATTRACTIVE OPPORTUNITIES IN AI IN HEALTHCARE MARKET 40
4.2 AI IN HEALTHCARE MARKET, BY OFFERING 41
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 41
4.4 EUROPE: AI IN HEALTHCARE MARKET, BY END USER AND COUNTRY 42
4.5 AI IN HEALTHCARE MARKET, BY COUNTRY 43
5 MARKET OVERVIEW 44
5.1 INTRODUCTION 44
5.2 MARKET DYNAMICS 45
5.2.1 DRIVERS 46
5.2.1.1 Increasingly large and complex data set 46
5.2.1.2 Growing demand to reduce healthcare costs 47
5.2.1.3 Improving computing power and declining hardware cost 48
5.2.1.4 Growing number of cross-industry partnerships and collaborations 49
5.2.1.5 Rising need for improvised healthcare services due to imbalance between health workforce and patients 50
5.2.2 RESTRAINTS 50
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies 50
5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software 51
5.2.3 OPPORTUNITIES 52
5.2.3.1 Growing potential of AI-based tools for elderly care 52
5.2.3.2 Increasing focus on developing human-aware AI systems 52
5.2.4 CHALLENGES 53
5.2.4.1 Lack of curated healthcare data 53
5.2.4.2 Concerns regarding data privacy 53
5.2.4.3 Lack of interoperability between AI solutions offered
by different vendors 54
5.3 VALUE CHAIN ANALYSIS 55
5.4 CASE STUDIES 56
5.4.1 MAYO CLINIC’S CENTRE FOR INDIVIDUALIZED MEDICINE COLLABORATED WITH TEMPUS TO PERSONALIZE CANCER TREATMENT 56
5.4.2 MICROSOFT COLLABORATED WITH CLEVELAND CLINIC TO IDENTIFY POTENTIAL AT-RISK PATIENTS UNDER ICU CARE 56
5.4.3 NVIDIA AND MASSACHUSETTS GENERAL HOSPITAL PARTNERED
TO USE ARTIFICIAL INTELLIGENCE FOR ADVANCED RADIOLOGY, PATHOLOGY, & GENOMICS 56
5.4.4 MICROSOFT PARTNERED WITH WEIL CORNELL MEDICINE TO DEVELOP
AI-POWERED CHATBOT 57
5.4.5 PARTNERS HEALTHCARE AND GE HEALTHCARE ENTERED INTO 10-YEAR COLLABORATION FOR INTEGRATING AI ACROSS CONTINUUM OF CARE 57
6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING 58
6.1 INTRODUCTION 59
6.2 HARDWARE 60
6.2.1 PROCESSOR 61
6.2.1.1 MPU 62
6.2.1.2 GPU 63
6.2.1.3 FPGA 63
6.2.1.4 ASIC 63
6.2.2 MEMORY 63
6.2.2.1 High-bandwidth memory is being developed and deployed for
AI applications, independent of its computing architecture 63
6.2.3 NETWORK 64
6.2.3.1 NVIDIA (US), Intel (US) and Mellanox Technologies (Israel) are the key providers of network interconnect adapters for AI applications 64
6.3 SOFTWARE 64
6.3.1 AI SOLUTIONS 66
6.3.1.1 On-premises 66
6.3.1.1.1 Data-Sensitive enterprises prefer on-premises’ advanced NLP and ML tools to be used in AI solutions 66
6.3.1.2 Cloud 67
6.3.1.2.1 The cloud provides additional flexibility for business operations and real-time deployment ease to companies that are implementing real-time analytics 67
6.3.2 AI PLATFORM 67
6.3.2.1 Machine learning framework 68
6.3.2.1.1 Major tech companies such as Google, IBM, Microsoft are developing and offering their own ML frameworks 68
6.3.2.2 Application program interface (API) 68
6.3.2.2.1 APIs are used when programming graphical user interface (GUI) components 68
6.4 SERVICES 68
6.4.1 DEPLOYMENT & INTEGRATION 69
6.4.1.1 Need for deployment and integration services for AI hardware and software solutions is supplementing the growth of services 69
6.4.2 SUPPORT & MAINTENANCE 70
6.4.2.1 The ultimate objective of maintenance services is to keep the system at an acceptable standard 70
7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY 71
7.1 INTRODUCTION 72
7.2 MACHINE LEARNING 73
7.2.1 DEEP LEARNING 74
7.2.1.1 Deep learning enables a machine to build a hierarchical representation. 74
7.2.2 SUPERVISED LEARNING 74
7.2.2.1 Classification and regression are major segmentation
of Supervised learning 74
7.2.3 REINFORCEMENT LEARNING 75
7.2.3.1 Reinforcement learning allows systems and software to determine ideal behaviour for maximizing performance of the systems 75
7.2.4 UNSUPERVISED LEARNING 75
7.2.4.1 Unsupervised learning include clustering methods consisting of algorithms with unlabelled training data 75
7.2.5 OTHERS 75
7.3 NATURAL LANGUAGE PROCESSING 76
7.3.1 NLP IS WIDELY USED BY THE CLINICAL AND RESEARCH COMMUNITY
IN HEALTHCARE 76
7.4 CONTEXT-AWARE COMPUTING 77
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED THE GROWTH OF CONTEXT-AWARE COMPUTING 77
7.5 COMPUTER VISION 78
7.5.1 COMPUTER VISION TECHNOLOGY HAS SHOWN SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY 78
8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET,
BY END-USE APPLICATION 79
8.1 INTRODUCTION 80
8.2 PATIENT DATA AND RISK ANALYSIS 81
8.2.1 GROWTH IN HEALTHCARE DATA HAS ESCALATED PATIENT DATA AND RISK ANALYSIS APPLICATION 81
8.3 INPATIENT CARE & HOSPITAL MANAGEMENT 83
8.3.1 DEMAND TO REDUCE THE OPERATIONAL COST IN HOSPITALS TO GENERATE DEMAND FOR AI-BASED IN-PATIENT CARE AND HOSPITAL MANAGEMENT 83
8.4 MEDICAL IMAGING & DIAGNOSTICS 84
8.4.1 GROWTH IN MEDICAL IMAGING DATA HAS PROPELLED THE GROWTH OF MEDICAL IMAGING AND DIAGNOSTICS APPLICATION 84
8.5 LIFESTYLE MANAGEMENT & MONITORING 85
8.5.1 AI SOLUTIONS FOR LIFESTYLE MANAGEMENT AND MONITORING HELPS PATIENTS IN MAKING HEALTHIER LIFESTYLE CHANGES 85
8.6 VIRTUAL ASSISTANT 87
8.6.1 INCREASING DEMAND TO IMPROVE FOLLOW-UP CARE, ESPECIALLY
FOR PATIENTS WITH CHRONIC DISEASES, IS DRIVING THE GROWTH OF VIRTUAL ASSISTANTS 87
8.7 DRUG DISCOVERY 88
8.7.1 AI TO REDUCE THE TIME AND COST REQUIRED IN DRUG DISCOVERY 88
8.8 RESEARCH 90
8.8.1 GROWING ADOPTION OF DIFFERENT TYPES OF AI ALGORITHMS AMONG BIOINFORMATICS RESEARCHERS, ESPECIALLY FOR CLASSIFYING AND MINING THEIR DATABASES, IS THE KEY APPLICATION OF AI IN RESEARCH 90
8.9 HEALTHCARE ASSISTANCE ROBOTS 91
8.9.1 HEALTHCARE ASSISTANCE ROBOTS HAVE BEEN ADOPTED IN SEVERAL AREAS THAT DIRECTLY AFFECT PATIENT CARE 91
8.10 PRECISION MEDICINE 93
8.10.1 AI IS EXPECTED TO FULFILL THE DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE 93
8.11 EMERGENCY ROOM & SURGERY 94
8.11.1 LIMITED WORKFORCE IN EMERGENCY ROOMS AND DEMAND TO SUPPORT CLINICIANS WITH SURGICAL DATA TO DRIVE THE GROWTH OF AI IN EMERGENCY ROOM AND SURGERY 94

8.12 WEARABLES 96
8.12.1 WEARABLE DEVICES ARE CLINICALLY USEFUL FOR IMPROVING REAL-TIME MONITORING OF PATIENTS 96
8.13 MENTAL HEALTH 97
8.13.1 INCREASE IN MENTAL DISORDERS ACROSS THE WORLD IS THE KEY FACTOR SUPPORTING THE GROWTH OF MENTAL HEALTH APPLICATION 97
9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER 99
9.1 INTRODUCTION 100
9.2 HOSPITALS AND PROVIDERS 101
9.2.1 AI CAN BE UTILIZED TO PREDICT AND PREVENT READMISSIONS, AND IMPROVE OPERATIONS AMONG HOSPITALS AND PROVIDERS 101
9.3 PATIENTS 103
9.3.1 SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE THE ADOPTION OF AI AMONG PATIENTS 103
9.4 PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES 105
9.4.1 APPLICATIONS SUCH AS DRUG DISCOVERY, PRECISION MEDICINE,
AND RESEARCH TO DRIVE AI IN PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES 105
9.5 HEALTHCARE PAYERS 107
9.5.1 HEALTHCARE PAYERS USE AI TOOLS MAINLY FOR MANAGING RISK, IDENTIFYING CLAIMS TRENDS, AND MAXIMIZING PAYMENT ACCURACY 107
9.6 OTHERS 109
9.6.1 PATIENT DATA AND RISK ANALYTICS AND HEALTHCARE ASSISTANCE ROBOTS TO DRIVE THE GROWTH OF AI IN ACOS AND MCOS 109
10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION 111
10.1 INTRODUCTION 112
10.2 NORTH AMERICA 114
10.2.1 US 117
10.2.1.1 High healthcare spending to complement the growth of AI in the US 117
10.2.2 CANADA 118
10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada propels the AI in healthcare market 118
10.2.3 MEXICO 118
10.2.3.1 AI-enabled devices for the healthcare sector have been gaining traction in Mexico 118
10.3 EUROPE 119
10.3.1 GERMANY 123
10.3.1.1 Rising healthcare data generation in the country will be a key driving factor for the growth of the market 123
10.3.2 UK 123
10.3.2.1 Large volume of data generated by NHS and digital health solutions have paved the way for AI in the UK 123

10.3.3 FRANCE 124
10.3.3.1 Healthcare IT in France has witnessed considerable implementation of AI over the last decade 124
10.3.4 ITALY 125
10.3.4.1 Development of electronic health records and aging population to drive the market in Italy 125
10.3.5 SPAIN 125
10.3.5.1 Growing awareness of AI in Spain to drive the AI in healthcare market 125
10.3.6 REST OF EUROPE 126
10.4 ASIA PACIFIC 127
10.4.1 CHINA 131
10.4.1.1 High spending by the government in healthcare and official plans to digitize medical records to drive the AI in healthcare market in China 131
10.4.2 JAPAN 131
10.4.2.1 Aging population to drive the growth of AI in Japan 131
10.4.3 SOUTH KOREA 132
10.4.3.1 Quality healthcare services and rapid expansion of medical insurance coverage are among the driving factors of AI in healthcare market in South Korea 132
10.4.4 INDIA 133
10.4.4.1 Developing IT infrastructure in the country and AI-friendly
initiatives by the government are the key factors supporting
the growth of AI in India 133
10.4.5 REST OF ASIA PACIFIC 133
10.5 REST OF THE WORLD 134
10.5.1 SOUTH AMERICA 136
10.5.1.1 Increasing awareness about potential applications of AI in healthcare is driving the growth of the market in South America 136
10.5.2 MIDDLE EAST AND AFRICA 136
10.5.2.1 Growing healthcare expenditure in the Middle East and North Africa is a key growth driver of AI in healthcare market 136
11 COMPETITIVE LANDSCAPE 138
11.1 OVERVIEW 138
11.2 RANKING OF PLAYERS, 2017 140
11.3 COMPETITIVE SCENARIO 142
11.3.1 PRODUCT DEVELOPMENTS AND LAUNCHES 143
11.3.2 COLLABORATIONS, PARTNERSHIPS, AND STRATEGIC ALLIANCES 144
11.3.3 ACQUISITIONS & JOINT VENTURES 145
12 COMPANY PROFILES 147
12.1 KEY PLAYERS 147
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
12.1.1 NVIDIA 147
12.1.2 INTEL 152
12.1.3 IBM 157
12.1.4 GOOGLE 161
12.1.5 MICROSOFT 165
12.1.6 GENERAL ELECTRIC (GE) COMPANY 169
12.1.7 SIEMENS HEALTHINEERS (A STRATEGIC UNIT OF THE SIEMENS GROUP) 173
12.1.8 MEDTRONIC 176
12.1.9 MICRON TECHNOLOGY 179
12.1.10 AMAZON WEB SERVICES (AWS) 182
* Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.
12.2 OTHER MAJOR COMPANIES 185
12.2.1 JOHNSON & JOHNSON SERVICES 185
12.2.2 KONINKLIJKE PHILIPS 185
12.2.3 GENERAL VISION 186
12.3 COMPANY PROFILES, BY APPLICATION 187
12.3.1 PATIENT DATA & RISK ANALYSIS 187
12.3.1.1 CLOUDMEDX 187
12.3.1.2 ONCORA MEDICAL 187
12.3.1.3 ZEPHYR HEALTH 188
12.3.1.4 SENTRIAN 188
12.3.1.5 CARESKORE 189
12.3.1.6 LINGUAMATICS 189
12.3.2 MEDICAL IMAGING & DIAGNOSTICS 190
12.3.2.1 ENLITIC 190
12.3.2.2 BAY LABS 190
12.3.2.3 BUTTERFLY NETWORKS 191
12.3.2.4 IMAGIA CYBERNETICS 191
12.3.3 PRECISION MEDICINE 192
12.3.3.1 PRECISION HEALTH AI 192
12.3.3.2 COTA 192
12.3.3.3 FDNA 193
12.3.4 DRUG DISCOVERY 193
12.3.4.1 RECURSION PHARMACEUTICALS 193
12.3.4.2 ATOMWISE 194
12.3.4.3 DEEP GENOMICS 194
12.3.4.4 CLOUD PHARMACEUTICALS 195
12.3.5 LIFESTYLE MANAGEMENT & MONITORING 195
12.3.5.1 WELLTOK 195
12.3.5.2 VITAGENE 196
12.3.5.3 LUCINA HEALTH 196

12.3.6 VIRTUAL ASSISTANTS 197
12.3.6.1 NEXT IT (A VERINT SYSTEMS COMPANY) 197
12.3.6.2 BABYLON 197
12.3.6.3 MDLIVE 198
12.3.7 WEARABLES 198
12.3.7.1 MAGNEA 198
12.3.7.2 PHYSIQ 199
12.3.7.3 CYRCADIA HEALTH 199
12.3.8 EMERGENCY ROOM & SURGERY 200
12.3.8.1 CARESYNTAX 200
12.3.8.2 GAUSS SURGICAL 200
12.3.8.3 PERCEIVE3D 201
12.3.8.4 MAXQ AI 201
12.3.9 IN-PATIENT CARE & HOSPITAL MANAGEMENT 202
12.3.9.1 QVENTUS 202
12.3.9.2 WORKFUSION 202
12.3.10 RESEARCH 203
12.3.10.1 ICARBONX 203
12.3.10.2 DESKTOP GENETICS 203
12.3.11 MENTAL HEALTH 204
12.3.11.1 GINGER.IO 204
12.3.11.2 X2AI 204
12.3.11.3 BIOBEATS 205
12.3.12 HEALTHCARE ASSISTANCE ROBOTS 205
12.3.12.1 PILLO 205
12.3.12.2 CATALIA HEALTH 206
13 APPENDIX 207
13.1 INSIGHTS FROM INDUSTRY EXPERTS 207
13.2 DISCUSSION GUIDE 208
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 212
13.4 AVAILABLE CUSTOMIZATIONS 214
13.5 RELATED REPORTS 214
13.6 AUTHOR DETAILS 216

LIST OF TABLES

TABLE 1 INCREASE IN NEUROIMAGING AND GENETICS DATA, AND COMPLEXITY RELATIVE TO COMPUTATIONAL POWER 46
TABLE 2 PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES) 48
TABLE 3 AI IN HEALTHCARE MARKET, BY OFFERING, 2015–2025 (USD MILLION) 60
TABLE 4 AI IN HEALTHCARE MARKET, BY HARDWARE, 2015–2025 (USD MILLION) 60
TABLE 5 AI IN HEALTHCARE MARKET FOR HARDWARE, BY REGION,
2015–2025 (USD MILLION) 61
TABLE 6 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2015–2025 (USD MILLION) 62
TABLE 7 AI IN HEALTHCARE MARKET FOR OFFERING, BY SOFTWARE,
2015–2025 (USD MILLION) 64
TABLE 8 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY REGION,
2015–2025 (USD MILLION) 65
TABLE 9 AI IN HEALTHCARE MARKET FOR SOLUTION, BY DEPLOYMENT,
2015–2025 (USD MILLION) 66
TABLE 10 AI IN HEALTHCARE MARKET FOR SOFTWARE, BY PLATFORM,
2015–2025 (USD MILLION) 67
TABLE 11 AI IN HEALTHCARE MARKET, BY SERVICES, 2015–2025 (USD MILLION) 68
TABLE 12 AI IN HEALTHCARE MARKET FOR SERVICES, BY REGION,
2015–2025 (USD MILLION) 69
TABLE 13 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2015–2025 (USD MILLION) 73
TABLE 14 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING, BY TYPE,
2015–2025 (USD MILLION) 73
TABLE 15 AI IN HEALTHCARE MARKET FOR NATURAL LANGUAGE PROCESSING, BY TYPE, 2015–2025 (USD MILLION) 76
TABLE 16 AI IN HEALTHCARE MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE,
2015–2025 (USD MILLION) 77
TABLE 17 AI IN HEALTHCARE MARKET, BY END-USE APPLICATION,
2015–2025 (USD MILLION) 81
TABLE 18 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS, BY REGION, 2015–2025 (USD MILLION) 82
TABLE 19 AI IN HEALTHCARE MARKET FOR PATIENT DATA AND RISK ANALYSIS,
BY END USER, 2015–2025 (USD MILLION) 82
TABLE 20 AI IN HEALTHCARE MARKET FOR IN-PATIENT CARE & HOSPITAL MANAGEMENT,
BY REGION, 2015–2025 (USD MILLION) 83
TABLE 21 AI IN HEALTHCARE MARKET FOR IN-PATIENT CARE AND HOSPITAL MANAGEMENT, BY END USER, 2015–2025 (USD MILLION) 84
TABLE 22 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS,
BY REGION, 2015–2025 (USD MILLION) 84
TABLE 23 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING AND DIAGNOSTICS,
BY END USER, 2015–2025 (USD MILLION) 85
TABLE 24 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING,
BY REGION, 2015–2025 (USD MILLION) 86
TABLE 25 AI IN HEALTHCARE MARKET FOR LIFESTYLE MANAGEMENT & MONITORING,
BY END USER, 2015–2025 (USD MILLION) 87
TABLE 26 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY REGION,
2015–2025 (USD MILLION) 87
TABLE 27 AI IN HEALTHCARE MARKET FOR VIRTUAL ASSISTANT, BY END USER,
2015–2025 (USD MILLION) 88
TABLE 28 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY REGION,
2015–2025 (USD MILLION) 89
TABLE 29 AI IN HEALTHCARE MARKET FOR DRUG DISCOVERY, BY END USER,
2015–2025 (USD MILLION) 89
TABLE 30 AI IN HEALTHCARE MARKET FOR RESEARCH, BY REGION,
2015–2025 (USD MILLION) 91
TABLE 31 AI IN HEALTHCARE MARKET FOR RESEARCH, BY END USER,
2015–2025 (USD MILLION) 91
TABLE 32 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS, BY REGION, 2015–2025 (USD MILLION) 92
TABLE 33 AI IN HEALTHCARE MARKET FOR HEALTHCARE ASSISTANCE ROBOTS,
BY END USER, 2015–2025 (USD MILLION) 92
TABLE 34 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY REGION,
2015–2025 (USD MILLION) 93
TABLE 35 AI IN HEALTHCARE MARKET FOR PRECISION MEDICINE, BY END USER,
2015–2025 (USD MILLION) 94
TABLE 36 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & SURGERY, BY REGION, 2015–2025 (USD MILLION) 95
TABLE 37 AI IN HEALTHCARE MARKET FOR EMERGENCY ROOM & MONITORING,
BY END USER, 2015–2025 (USD MILLION) 96
TABLE 38 AI IN HEALTHCARE MARKET FOR WEARABLES, BY REGION,
2015–2025 (USD MILLION) 96
TABLE 39 AI IN HEALTHCARE MARKET FOR WEARABLES, BY END USER,
2015–2025 (USD MILLION) 97
TABLE 40 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY REGION,
2015–2025 (USD MILLION) 97
TABLE 41 AI IN HEALTHCARE MARKET FOR MENTAL HEALTH, BY END USER,
2015–2025 (USD MILLION) 98
TABLE 42 AI IN HEALTHCARE MARKET, BY END USER, 2015–2025 (USD MILLION) 101
TABLE 43 AI IN HEALTHCARE MARKET FOR HOSPITALS AND PROVIDERS, BY APPLICATION, 2015–2025 (USD MILLION) 102
TABLE 44 AI IN HEALTHCARE MARKET FOR HOSPITALS AND PROVIDERS, BY REGION,
2015–2025 (USD MILLION) 103
TABLE 45 AI IN HEALTHCARE MARKET FOR PATIENTS, BY APPLICATION,
2015–2025 (USD MILLION) 104
TABLE 46 AI IN HEALTHCARE MARKET FOR PATIENTS, BY REGION,
2015–2025 (USD MILLION) 104
TABLE 47 AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY APPLICATION, 2015–2025 (USD MILLION) 106
TABLE 48 AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, BY REGION, 2015–2025 (USD MILLION) 107
TABLE 49 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY APPLICATION,
2015–2025 (USD MILLION) 108
TABLE 50 AI IN HEALTHCARE MARKET FOR HEALTHCARE PAYERS, BY REGION,
2015–2025 (USD MILLION) 108
TABLE 51 AI IN HEALTHCARE MARKET FOR OTHERS, BY APPLICATION,
2015–2025 (USD MILLION) 109
TABLE 52 AI IN HEALTHCARE MARKET FOR OTHERS, BY REGION, 2015–2025 (USD MILLION) 110
TABLE 53 AI IN HEALTHCARE MARKET, BY REGION, 2015–2025 (USD MILLION) 113
TABLE 54 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY COUNTRY,
2015–2025(USD MILLION) 116
TABLE 55 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY END USER,
2015–2025 (USD MILLION) 116
TABLE 56 AI IN HEALTHCARE MARKET IN NORTH AMERICA, BY OFFERING,
2015–2025 (USD MILLION) 117
TABLE 57 AI IN HEALTHCARE MARKET IN EUROPE, BY COUNTRY, 2015–2025(USD MILLION) 121
TABLE 58 AI IN HEALTHCARE MARKET IN EUROPE, BY END USER,
2015–2025 (USD MILLION) 122
TABLE 59 AI IN HEALTHCARE MARKET IN EUROPE, BY OFFERING,
2015–2025 (USD MILLION) 122
TABLE 60 AI IN HEALTHCARE MARKET IN APAC, BY COUNTRY, 2015–2025 (USD MILLION) 129
TABLE 61 AI IN HEALTHCARE MARKET IN APAC, BY END USER, 2015–2025 (USD MILLION) 129
TABLE 62 AI IN HEALTHCARE MARKET IN APAC, BY OFFERING, 2015–2025 (USD MILLION) 130
TABLE 63 AI IN HEALTHCARE MARKET IN ROW, BY REGION, 2015–2025 (USD MILLION) 135
TABLE 64 AI IN HEALTHCARE MARKET IN ROW, BY END USER, 2015–2025 (USD MILLION) 135
TABLE 65 AI IN HEALTHCARE MARKET IN ROW, BY OFFERING, 2015–2025 (USD MILLION) 135


LIST OF FIGURES

FIGURE 1 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET: RESEARCH DESIGN 23
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 29
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 30
FIGURE 4 DATA TRIANGULATION 31
FIGURE 5 ASSUMPTIONS FOR THE RESEARCH STUDY 32
FIGURE 6 AI IN HEALTHCARE MARKET, BY OFFERING, 2018 VS. 2025 (USD MILLION) 34
FIGURE 7 AI IN HEALTHCARE MARKET, BY PROCESSOR, 2018 VS. 2025 (USD MILLION) 35
FIGURE 8 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION) 36
FIGURE 9 AI IN HEALTHCARE MARKET, BY APPLICATION, 2018 VS. 2025 (USD MILLION) 37
FIGURE 10 AI IN HEALTHCARE MARKET, BY END USER, 2018 VS. 2025 (USD MILLION) 38
FIGURE 11 AI IN HEALTHCARE MARKET, BY REGION, 2018 39
FIGURE 12 GROWING BIG DATA IN HEALTHCARE AND INCREASING ADOPTION
OF AI-BASED TOOLS IN HEALTHCARE FACILITIES ARE MAJOR FACTORS DRIVING MARKET GROWTH 40
FIGURE 13 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 41
FIGURE 14 AI IN HEALTHCARE MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2018 TO 2025 41
FIGURE 15 GERMANY EXPECTED TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET
IN 2018 IN EUROPE 42
FIGURE 16 US TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2018 43
FIGURE 17 INCREASINGLY LARGE AND COMPLEX DATA SET AND GROWING DEMAND TO REDUCE HEALTHCARE COSTS ARE DRIVING MARKET GROWTH 45
FIGURE 18 TYPES OF HEALTHCARE BREACHES REPORTED TO U.S. DEPARTMENT OF HEALTH AND HUMAN SERVICES 54
FIGURE 19 AI IN HEALTHCARE MARKET VALUE CHAIN IN 2017 55
FIGURE 20 SOFTWARE TO HOLD LARGEST SIZE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 59
FIGURE 21 AI IN HEALTHCARE PROCESSOR MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 62
FIGURE 22 NORTH AMERICA TO HOLD LARGEST MARKET IN AI IN HEALTHCARE MARKET
FOR SOFTWARE DURING FORECAST PERIOD 65
FIGURE 23 MACHINE LEARNING TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 72
FIGURE 24 AI IN HEALTHCARE MARKET FOR MEDICAL IMAGING & DIAGNOSTICS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 80
FIGURE 25 NORTH AMERICA TO LEAD LIFESTYLE MANAGEMENT & MONITORING APPLICATION DURING FORECAST PERIOD 86
FIGURE 26 NORTH AMERICA TO HOLD LARGEST MARKET IN RESEARCH APPLICATION DURING FORECAST PERIOD 90
FIGURE 27 NORTH AMERICA TO HOLD LARGEST SHARE IN EMERGENCY ROOM & SURGERY APPLICATION IN 2018 95
FIGURE 28 HOSPITALS AND PROVIDERS TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2018 & 2025 100
FIGURE 29 PRECISION MEDICINE APPLICATION TO WITNESS HIGHEST CAGR IN AI IN HEALTHCARE MARKET FOR PHARMACEUTICAL & BIOTECHNOLOGY COMPANIES DURING FORECAST PERIOD 106
FIGURE 30 CHINA & US ARE EMERGING AS NEW HOT SPOTS IN AI IN HEALTHCARE MARKET 112
FIGURE 31 NORTH AMERICA TO DOMINATE AI IN HEALTHCARE MARKET
DURING FORECAST PERIOD 113
FIGURE 32 NORTH AMERICA: SNAPSHOT OF AI IN HEALTHCARE MARKET 115
FIGURE 33 EUROPE: SNAPSHOT OF AI IN HEALTHCARE MARKET 120
FIGURE 34 HOSPITALS & PROVIDERS HELD LARGEST SHARE IN EUROPEAN AI IN HEALTHCARE MARKET IN 2018 121
FIGURE 35 APAC: SNAPSHOT OF AI IN HEALTHCARE MARKET 128
FIGURE 36 SERVICES TO WITNESS HIGHEST CAGR IN AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 130
FIGURE 37 ROW: SNAPSHOT OF AI IN HEALTHCARE MARKET 134
FIGURE 38 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN HEALTHCARE MARKET FROM 2015 TO MID-2018 139
FIGURE 39 RANKING OF KEY COMPANIES IN AI IN HEALTHCARE MARKET (2017) 140
FIGURE 40 NVIDIA: COMPANY SNAPSHOT 148
FIGURE 41 INTEL: COMPANY SNAPSHOT 152
FIGURE 42 IBM: COMPANY SNAPSHOT 157
FIGURE 43 GOOGLE: COMPANY SNAPSHOT 161
FIGURE 44 MICROSOFT: COMPANY SNAPSHOT 165
FIGURE 45 GE: COMPANY SNAPSHOT 169
FIGURE 46 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT 173
FIGURE 47 MEDTRONIC: COMPANY SNAPSHOT 176
FIGURE 48 MICRON TECHNOLOGY: COMPANY SNAPSHOT 179
FIGURE 49 AWS: COMPANY SNAPSHOT 182


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