[조사자료] 세계의 의료용 인공지능 (AI) 시장 (~2028년)

■ 영문 제목 : Artificial Intelligence in Healthcare Market by Offering (Hardware, Software, Services), Technology (Machine Learning, NLP, Context-aware Computing, Computer Vision), Application, End User and Region - Global Forecast to 2028
	■ 상품코드 : SE5225-23 ■ 조사/발행회사 : MarketsandMarkets ■ 발행일 : 2023년 2월 ■ 페이지수 : 292 ■ 작성언어 : 영어 ■ 보고서 형태 : PDF ■ 납품 방식 : E메일 ■ 조사대상 지역 : 글로벌 ■ 산업 분야 : 반도체

■ 판매가격 / 옵션 (부가세 10% 별도)

Single User (1인 열람용)	USD4,950 ⇒환산￦6,930,000	견적의뢰/주문/질문
Five User (5인 열람용)	USD6,650 ⇒환산￦9,310,000	견적의뢰/주문/질문
Corporate License (동일 법인내 공유가능)	USD8,150 ⇒환산￦11,410,000	견적의뢰/구입/질문

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마켓츠앤마켓츠(MarketsandMarkets)는 세계의 의료용 인공지능 (AI) 시장 규모가 2023년 146억 달러에서 2028년 1, 027억 달러에 이르며, 예측 기간 동안 연평균 47.6%로 성장할 것으로 추정하고 있습니다. 본 조사 보고서는 세계의 의료용 인공지능 (AI) 시장을 조사 및 분석하여, 소개, 조사 수법, 개요, 프리미엄 인사이트, 시장 개요, 제공별 (하드웨어, 소프트웨어, 서비스) 분석, 기술별 (머신러닝, NLP, 상황 인식 컴퓨팅, 컴퓨터 비전) 분석, 용도별 (환자 데이터 및 위험 분석, 입원 환자 관리 및 병원 관리, 의료용 이미지 및 진단, 라이프 스타일 관리 및 환자 원격 모니터링, 가상 어시스턴트) 분석, 최종 용도별 (병원 및 의료 기관, 환자, 제약 및 바이오테크 기업, 의료 관계자, 기타) 분석, 지역별 (지역별 북미, 유럽, 아시아 태평양, 기타 지역) 분석, 경쟁 현황, 기업 정보 등의 항목을 게재하고 있습니다. 또한 본 보고서는 Corporation (US) , Koninklijke Philips N.V., (Netherlands) , Microsoft (US) , Siemens Healthineers (Germany) , NVIDIA Corporation (US) 등의 기업 정보를 포함하고 있습니다.
· 소개
· 조사 수법
· 개요
· 프리미엄 인사이트
· 시장 개요
· 세계의 의료용 인공지능 (AI) 시장 규모 : 제공별
- 하드웨어의 시장 규모
- 소프트웨어의 시장 규모
- 서비스의 시장 규모
· 세계의 의료용 인공지능 (AI) 시장 규모 : 기술별
- 머신러닝 기술의 시장 규모
- NLP 기술의 시장 규모
- 상황 인식 컴퓨팅 기술의 시장 규모
- 컴퓨터 비전 기술의 시장 규모
· 세계의 의료용 인공지능 (AI) 시장 규모 : 용도별
- 환자 데이터 및 위험 분석에 사용되는 AI의 시장 규모
- 입원 환자 관리 및 병원 관리에 사용되는 AI의 시장 규모
- 의료용 이미지 및 진단에 사용되는 AI의 시장 규모
- 라이프스타일 관리 및 환자 원격 모니터링에 사용되는 AI의 시장 규모
- 가상 어시스턴트에 사용되는 AI의 시장 규모
· 세계의 의료용 인공지능 (AI) 시장 규모 : 최종 용도별
- 병원 및 의료 기관에서 사용되는 의료용 인공지능 (AI) 의 시장 규모
- 환자에게 사용되는 의료용 인공지능 (AI) 의 시장 규모
- 제약 및 바이오테크 기업에서 사용되는 의료용 인공지능 (AI) 의 시장 규모
- 의료 관계자가 사용하는 의료용 인공지능 (AI) 의 시장 규모
- 기타 최종 용도 에서 사용되는 의료용 인공지능 (AI) 의 시장 규모
· 세계의 의료용 인공지능 (AI) 시장 규모 : 지역별
- 북미의 의료용 인공지능 (AI) 시장 규모
- 유럽의 의료용 인공지능 (AI) 시장 규모
- 아시아 태평양의 의료용 인공지능 (AI) 시장 규모
- 기타 지역의 의료용 인공지능 (AI) 시장 규모
· 경쟁 현황
· 기업 정보

■ 보고서 개요

“The AI in Healthcare Market is projected to grow from USD 14.6 Billion in 2023 to USD 102.7 Billion by 2028; it is expected to grow at a CAGR of 47.6% during the forecast period.” Increasing requirements of improvised healthcare services due to the imbalance between healthcare workforce and patients will propel the growth opportunities for AI in Healthcare providers. Increasing focus on developing human-aware AI systems will boost market growth. Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software will restrain the market growth.

“Market for services to grow at higher CAGR during forecast period”
Installation services allow the software to be integrated with the analytics side to enable data retrieval and generate desired results through computation. Using computer systems for AI increases the amount of work involved in the installation. For instance, IBM Watson Health, an AI system that requires installation. Before the installation, the system’s requirements are checked, such as OS compatibility, necessary software, adequate memory, and hard disk space. IBM provides a separate installation program for the ICA studio, which is used to create and deploy custom text analytics for Watson Content Analytics applications.

“Market for deep learning in machine learning segment to hold for the majority of share in 2028”
Deep learning is a class of machine learning based on multiple algorithms for creating relationships among data. Deep learning uses artificial neural networks to learn multiple levels of data, such as texts, images, and sounds. Its algorithms help in identifying patterns from a set of unstructured data. Deep learning technology is used in voice recognition, fraud detection, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection, among others. Imaging, diagnostics, and drug discovery are among the applications using deep learning. There is a need for advanced technologies to read and interpret images (X-rays, MRIs, and CT scans) and blood and tissue reports, and provide an accurate and quick diagnosis for critical ailments (e.g., tumors and cancers).

“Market for patients to grow at highest CAGR during forecast period”
The popularity of AI-based solutions is increasing among patients. ML, cognitive computing, NLP, Context-aware Computing, and computer vision are increasingly being used in smartphones and homecare systems; with the rapid evolution of these technologies, their adoption is further estimated to increase. Various smartphone apps offer medical AI consultations based on personal medical history and common medical knowledge. These apps help identify a patient’s lifestyle, mental health, and other biomedical parameters to improve their health. Moreover, these apps enhance the efficiency of diagnosing patients while sparing the patient long waiting hours in a doctor’s clinic.

“North America to hold for majority of share among AI in Healthcare market during the forecast period”
Improvements in cloud computing platforms, which are now more efficient, affordable, and capable of processing complex information, have led to the growth of inexpensive software development tools and vast data sets that play a vital role in the development of AI technology. The US recorded the highest healthcare expenditure of 18.1% of the total gross domestic product (GDP) in 2020. The healthcare spending of the country has doubled in the last three decades. This, in turn, is creating a conducive environment for market growth.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews have been conducted with key industry experts in the AI in Healthcare market space. The break-up of primary participants for the report has been shown below:
• By Company Type: Tier 1 – 40%, Tier 2 – 25%, and Tier 35%
• By Designation: C-level Executives – 40%, Directors – 35%, and Others – 25%
• By Region: North America –45%, APAC– 30%, Europe – 20%, and RoW – 5%

The report profiles key players in the AI in Healthcare market with their respective market ranking analysis. Prominent players profiled in this report are Intel Corporation (US), Koninklijke Philips N.V., (Netherlands), Microsoft (US), Siemens Healthineers (Germany), and NVIDIA Corporation (US) among others.

Research Coverage:
This research report categorizes the AI in Healthcare market on the basis of offerings, technology, 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 2028. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the AI in Healthcare ecosystem.

Key Benefits of Buying the Report
The report will help market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI in Healthcare market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

■ 보고서 목차

1 INTRODUCTION 36
1.1 STUDY OBJECTIVES 36
1.2 MARKET DEFINITION 37
1.2.1 INCLUSIONS AND EXCLUSIONS 37
1.3 STUDY SCOPE 38
1.3.1 MARKETS COVERED 38
1.3.2 GEOGRAPHIC SCOPE 38
1.3.3 YEARS CONSIDERED 39
1.4 CURRENCY CONSIDERED 39
1.5 UNITS CONSIDERED 39
1.6 LIMITATIONS 40
1.7 STAKEHOLDERS 40
1.8 SUMMARY OF CHANGES 41
2 RESEARCH METHODOLOGY 42
2.1 RESEARCH DATA 42
FIGURE 1 AI IN HEALTHCARE MARKET: RESEARCH DESIGN 43
2.2 SECONDARY AND PRIMARY RESEARCH 44
FIGURE 2 AI IN HEALTHCARE MARKET: RESEARCH APPROACH 44
2.2.1 SECONDARY DATA 45
2.2.1.1 List of major secondary sources 45
2.2.1.2 Key data from secondary sources 46
2.2.2 PRIMARY DATA 46
2.2.2.1 Primary interviews with experts 47
2.2.2.2 Key data from primary sources 47
2.2.2.3 Key industry insights 48
2.2.2.4 Breakdown of primaries 48
2.3 MARKET SIZE ESTIMATION 48
2.3.1 BOTTOM-UP APPROACH 49
2.3.1.1 Estimating market size by bottom-up approach (demand side) 49
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 49
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (SUPPLY SIDE) —ILLUSTRATION OF REVENUE ESTIMATION OF COMPANIES FROM SALES OF AI IN HEALTHCARE OFFERING 50
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (DEMAND SIDE) —ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET, BY END USER 51
2.3.2 TOP-DOWN APPROACH 51
2.3.2.1 Estimating market size by top-down approach (supply side) 52
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 52
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: (SUPPLY SIDE)—REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS 53
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION 54
FIGURE 8 DATA TRIANGULATION 54
2.5 RESEARCH ASSUMPTIONS 55
FIGURE 9 ASSUMPTIONS FOR RESEARCH STUDY 55
2.6 IMPACT OF RECESSION 55
2.7 RISK ASSESSMENT 56
TABLE 1 LIMITATIONS AND ASSOCIATED RISKS 56
2.8 LIMITATIONS 56
3 EXECUTIVE SUMMARY 57
3.1 AI IN HEALTHCARE MARKET: RECESSION IMPACT 57
FIGURE 10 RECESSION IMPACT: GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES 57
FIGURE 11 RECESSION IMPACT ON AI IN HEALTHCARE MARKET, 2019–2028 (USD MILLION) 58
FIGURE 12 SOFTWARE SEGMENT TO HOLD SECOND-LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028 59
FIGURE 13 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028 59
FIGURE 14 PATIENTS SEGMENT TO REGISTER HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 60
FIGURE 15 MEDICAL IMAGING & DIAGNOSTICS APPLICATION TO GROW AT HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 61
FIGURE 16 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2022 62
4 PREMIUM INSIGHTS 63
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR AI IN HEALTHCARE MARKET 63
FIGURE 17 INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES TO DRIVE MARKET GROWTH DURING 2023–2028 63
4.2 AI IN HEALTHCARE MARKET, BY OFFERING 63
FIGURE 18 SOFTWARE TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028 63
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 64
FIGURE 19 MACHINE LEARNING TECHNOLOGY TO BE LARGEST SHAREHOLDER OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028 64
4.4 AI IN HEALTHCARE MARKET, BY APPLICATION 64
FIGURE 20 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO REGISTER HIGHEST CAGR DURING 2023–2028 64
4.5 AI IN HEALTHCARE MARKET, BY END USER 65
FIGURE 21 HOSPITALS & HEALTHCARE PROVIDERS TO BE LARGEST SHAREHOLDERS OF AI IN HEALTHCARE MARKET IN 2023 TO 2028 65

4.6 AI IN HEALTHCARE MARKET, BY COUNTRY 65
FIGURE 22 AI IN HEALTHCARE MARKET IN CHINA AND MEXICO TO GROW AT HIGHEST CAGR FROM 2023 TO 2028 65
5 MARKET OVERVIEW 66
5.1 INTRODUCTION 66
5.2 MARKET DYNAMICS 67
FIGURE 23 AI IN HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 67
5.2.1 DRIVERS 68
FIGURE 24 ANALYSIS OF IMPACT OF DRIVERS ON AI IN HEALTHCARE MARKET 68
5.2.1.1 Generation of large and complex healthcare datasets 68
5.2.1.2 Pressing need to reduce healthcare costs 69
5.2.1.3 Improving computing power and declining hardware cost 70
5.2.1.4 Rising number of partnerships and collaborations among different domains in healthcare sector 70
5.2.1.5 Growing need for improvised healthcare services due to imbalance between healthcare workforce and patients 72
5.2.2 RESTRAINTS 72
FIGURE 25 ANALYSIS OF IMPACT OF RESTRAINTS ON AI IN HEALTHCARE MARKET 72
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies 73
5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software 73
5.2.3 OPPORTUNITIES 74
FIGURE 26 ANALYSIS OF IMPACT OF OPPORTUNITIES ON AI IN HEALTHCARE MARKET 74
5.2.3.1 Growing potential of AI-based tools for elderly care 74
5.2.3.2 Increasing focus on developing human-aware AI systems 75
5.2.3.3 Rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics 75
5.2.4 CHALLENGES 76
FIGURE 27 ANALYSIS OF IMPACT OF CHALLENGES ON AI IN HEALTHCARE MARKET 76
5.2.4.1 Lack of curated healthcare data 76
5.2.4.2 Concerns regarding data privacy 77
FIGURE 28 HEALTHCARE BREACHES REPORTED TO US DEPARTMENT OF HEALTH AND HUMAN SERVICES, 2019 TO 2021 77
5.2.4.3 Lack of interoperability between AI solutions offered by different vendors 77
FIGURE 29 CHALLENGES OF HEALTHCARE DATA INTEROPERABILITY 78
5.3 VALUE CHAIN ANALYSIS 78
FIGURE 30 AI IN HEALTHCARE MARKET VALUE CHAIN 78
5.4 PORTER’S FIVE FORCES ANALYSIS 79
TABLE 2 AI IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS 79

5.5 ECOSYSTEM ANALYSIS 81
FIGURE 31 ECOSYSTEM OF AI IN HEALTHCARE 81
TABLE 3 ECOSYSTEM: AI IN HEALTHCARE MARKET 82
5.6 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR AI IN HEALTHCARE MARKET 83
FIGURE 32 TRENDS/DISRUPTION IMPACTING CUSTOMER BUSINESS 83
5.7 CASE STUDY ANALYSIS 84
5.7.1 USE CASE – BIOBEAT (ISRAEL) 84
5.7.2 USE CASE – CLEVELAND CLINIC AND MICROSOFT 84
5.7.3 USE CASE – TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN) 85
5.8 TECHNOLOGY ANALYSIS 85
5.8.1 CLOUD COMPUTING 85
5.8.2 CLOUD GPU 85
5.9 PRICING ANALYSIS 86
FIGURE 33 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS IN AI IN HEALTHCARE MARKET, 2019–2028 (USD) 86
5.9.1 AVERAGE SELLING PRICE (ASP) ANALYSIS OF COMPONENTS OFFERED BY KEY PLAYERS 86
FIGURE 34 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS OFFERED BY KEY COMPANIES 87
TABLE 4 ASP RANGE OF PROCESSOR COMPONENTS, 2019–2028 87
TABLE 5 ASP RANGE OF SERVER SOFTWARE 87
5.9.2 ASP TRENDS 88
5.10 TRADE ANALYSIS 88
FIGURE 35 EXPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND) 89
FIGURE 36 IMPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND) 89
5.11 PATENT ANALYSIS 90
FIGURE 37 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS 90
TABLE 6 TOP 20 PATENT OWNERS IN LAST 10 YEARS 90
FIGURE 38 NUMBER OF PATENTS GRANTED PER YEAR, 2012–2021 91
5.11.1 MAJOR PATENTS 92
TABLE 7 MAJOR PATENTS IN AI IN HEALTHCARE MARKET 92
5.12 REGULATORY LANDSCAPE 94
TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2022 94
TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2022 94
TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY GERMANY, 2020 94
5.12.1 REGULATIONS 95
5.12.1.1 Export–import regulations 95
5.12.1.2 Restriction of Hazardous Substances (ROHS) and Waste Electrical and Electronic Equipment (WEEE) 96
5.12.1.3 Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) 96
5.12.1.4 General Data Protection Regulation (GDPR) 97
6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING 98
6.1 INTRODUCTION 99
FIGURE 39 AI IN HEALTHCARE MARKET, BY OFFERING 99
FIGURE 40 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 100
TABLE 11 AI IN HEALTHCARE MARKET, BY OFFERING, 2019–2022 (USD MILLION) 100
TABLE 12 AI IN HEALTHCARE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 100
6.2 HARDWARE 101
TABLE 13 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 101
TABLE 14 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 101
TABLE 15 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 101
TABLE 16 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 102
6.2.1 PROCESSOR 102
6.2.1.1 Intel Corporation (US), NVIDIA Corporation (US), AND Xilinx (US) key providers of hardware components for AI applications 102
TABLE 17 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS) 102
TABLE 18 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS) 103
TABLE 19 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 103
TABLE 20 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 103
6.2.1.2 MPU/CPU 104
TABLE 21 CASE STUDY: DYNALIFE’S AND ALTAML’S COLON POLYP PROJECT 104
6.2.1.3 GPU 104
TABLE 22 CASE STUDY: UNIVERSITY OF SYDNEY, BRAIN AND MIND CENTER (SNAC) AND NVIDIA CORPORATION 105
6.2.1.4 FPGA 105
TABLE 23 FPGA: RECENT DEVELOPMENT 106
6.2.1.5 GPU 106
TABLE 24 CASE STUDY: XILINX AND SPLINE. AI 106
6.2.1.6 ASIC 107
6.2.1.7 GPU 107
TABLE 25 CASE STUDY: LONDON MEDICAL IMAGING & AI CENTRE & RUN:AI 107

6.2.2 MEMORY 107
6.2.2.1 Development of high-bandwidth memory for AI applications to drive market 107
TABLE 26 MEMORY: RECENT DEVELOPMENT 108
TABLE 27 CASE STUDY: INTEL, DELL, AND UNIVERSITY OF FLORIDA 109
6.2.3 NETWORK 109
6.2.3.1 NVIDIA Corporation (US) and Intel Corporation (US) among key providers of network interconnect adapters for AI applications 109
TABLE 28 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS) 109
TABLE 29 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS) 110
TABLE 30 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 110
TABLE 31 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 110
6.3 SOFTWARE 110
TABLE 32 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 111
TABLE 33 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 111
TABLE 34 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 111
TABLE 35 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 111
6.3.1 AI SOLUTION 112
6.3.1.1 Integration of non-procedural languages in AI solutions to propel segmental growth 112
TABLE 36 CASE STUDY: PHILIPS AND AWS 112
TABLE 37 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION) 112
TABLE 38 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION) 113
6.3.1.2 On-premises 113
TABLE 39 ON-PREMISES: RECENT DEVELOPMENT 113
6.3.1.3 Cloud 114
6.3.2 AI PLATFORM 114
6.3.2.1 Increasing use of AI platforms for decision-making and data management to boost segmental growth 114
TABLE 40 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2019–2022 (USD MILLION) 115
TABLE 41 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2023–2028 (USD MILLION) 115
6.3.2.2 Machine learning framework 115
6.3.2.3 Application program interface 115

6.4 SERVICES 116
TABLE 42 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 116
TABLE 43 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 116
TABLE 44 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 116
TABLE 45 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 117
6.4.1 DEPLOYMENT & INTEGRATION 117
6.4.1.1 Key services for configuring AI systems in healthcare 117
6.4.2 SUPPORT & MAINTENANCE 117
6.4.2.1 Help to keep up performance of systems post installation 117
7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY 118
7.1 INTRODUCTION 119
FIGURE 41 AI IN HEALTHCARE MARKET, BY TECHNOLOGY 119
FIGURE 42 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD 120
TABLE 46 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 120
TABLE 47 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 120
7.2 MACHINE LEARNING 121
TABLE 48 CASE STUDY: THE HEALTH MANAGEMENT ACADEMY (THE ACADEMY) AND NUANCE 121
TABLE 49 CAST STUDY: MAYO CLINIC AND GOOGLE INC 121
TABLE 50 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 122
TABLE 51 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 122
7.2.1 DEEP LEARNING 122
7.2.1.1 Enables machines to build hierarchical representations 122
TABLE 52 CASE STUDY: SUBTLE MEDICAL AND BAYER 123
7.2.2 SUPERVISED LEARNING 124
7.2.2.1 Classification and regression major segments of supervised learning 124
7.2.3 REINFORCEMENT LEARNING 124
7.2.3.1 Allows systems and software to determine ideal behavior for maximizing performance of systems 124
7.2.4 UNSUPERVISED LEARNING 124
7.2.4.1 Includes clustering methods consisting of algorithms with unlabeled training data 124
7.2.5 OTHERS 124
7.3 NATURAL LANGUAGE PROCESSING 125
7.3.1 WIDELY USED BY CLINICAL AND RESEARCH COMMUNITIES IN HEALTHCARE 125
TABLE 53 CASE STUDY: ROCHE AND JOHN SNOW LABS 125
TABLE 54 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 126
TABLE 55 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 126
7.4 CONTEXT-AWARE COMPUTING 126
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS TO ACCELERATE GROWTH OF CONTEXT-AWARE COMPUTING 126
TABLE 56 CONTEXT-AWARE COMPUTING: RECENT DEVELOPMENT 127
TABLE 57 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION) 127
TABLE 58 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION) 127
7.5 COMPUTER VISION 128
7.5.1 USED FOR SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY 128
8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION 129
8.1 INTRODUCTION 130
FIGURE 43 AI IN HEALTHCARE MARKET, BY APPLICATION 130
FIGURE 44 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2028 131
TABLE 59 AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 132
TABLE 60 AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 132
8.2 PATIENT DATA & RISK ANALYSIS 133
8.2.1 PROVIDE PREDICTIVE INSIGHTS INTO PATIENT HEALTH USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING ALGORITHMS 133
TABLE 61 CASE STUDY: CLEVELAND CLINIC AND MICROSOFT 134
TABLE 62 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 134
TABLE 63 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 134
TABLE 64 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 135
TABLE 65 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 135
8.3 IN-PATIENT CARE & HOSPITAL MANAGEMENT 135
8.3.1 HELP TO CUT DOWN EXCESSIVE OPERATIONAL COSTS AND LOWER COST OF PATIENT CARE 135
TABLE 66 CASE STUDY: TIDALHEALTH AND REGARDS 136
TABLE 67 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 136
TABLE 68 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 136
TABLE 69 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 137
TABLE 70 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 137

8.4 MEDICAL IMAGING & DIAGNOSTICS 137
8.4.1 HELP TO GENERATE HIGHLY ACCURATE IMAGING DATA 137
TABLE 71 MEDICAL IMAGING DIAGNOSIS: RECENT DEVELOPMENT 138
TABLE 72 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 138
TABLE 73 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 139
TABLE 74 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 139
TABLE 75 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 139
8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING 140
8.5.1 HELP REDUCE BURDEN ON HOSPITALS 140
TABLE 76 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: RECENT DEVELOPMENT 140
TABLE 77 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 140
TABLE 78 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 141
TABLE 79 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 141
TABLE 80 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 141
8.6 VIRTUAL ASSISTANTS 141
8.6.1 ASSIST IN DISSEMINATING PRECISE MEDICAL INFORMATION AMONG VULNERABLE POPULATIONS 141
TABLE 81 VIRTUAL ASSISTANT: RECENT DEVELOPMENT 142
TABLE 82 CASE STUDY: GOVERNMENT OF INDIA, ACCENTURE, AND MICROSOFT 142
TABLE 83 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 143
TABLE 84 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 143
TABLE 85 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 143
TABLE 86 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 144
8.7 DRUG DISCOVERY 144
8.7.1 AI EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY 144
TABLE 87 DRUG DISCOVERY: RECENT DEVELOPMENT 145
TABLE 88 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 145
TABLE 89 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 146
TABLE 90 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 146
TABLE 91 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 146
8.8 RESEARCH 147
8.8.1 AI ALGORITHMS USED BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING 147
TABLE 92 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 147
TABLE 93 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 148
TABLE 94 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 148
TABLE 95 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 148
8.9 HEALTHCARE ASSISTANCE ROBOTS 148
8.9.1 HELP TO SIGNIFICANTLY REDUCE NEED FOR ROUND-THE-CLOCK MANUAL NURSING CARE 148
TABLE 96 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 149
TABLE 97 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 149
TABLE 98 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 149
TABLE 99 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 150
8.10 PRECISION MEDICINE 150
8.10.1 AI EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE 150
TABLE 100 PRECISION MEDICINE: RECENT DEVELOPMENT 150
TABLE 101 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 151
TABLE 102 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 151
TABLE 103 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 151
TABLE 104 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 152
8.11 EMERGENCY ROOM & SURGERY 152
8.11.1 LIMITED AVAILABILITY OF SKILLED WORKFORCE IN EMERGENCY ROOMS TO DRIVE ADOPTION OF AI 152
TABLE 105 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 153
TABLE 106 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 153
TABLE 107 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 153
TABLE 108 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 153

8.12 WEARABLES 154
8.12.1 FACILITATE IMPROVED, REAL-TIME PATIENT MONITORING 154
TABLE 109 CASE STUDY: KENSCI, MICROSOFT, AND FEDERAL GOVERNMENT 154
TABLE 110 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 154
TABLE 111 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 155
TABLE 112 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 155
TABLE 113 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 155
8.13 MENTAL HEALTH 155
8.13.1 AI USED IN DIAGNOSIS OF MENTAL DISTRESS AND NEUROLOGICAL ABNORMALITIES 155
TABLE 114 MENTAL HEALTH: RECENT DEVELOPMENT 156
TABLE 115 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 156
TABLE 116 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 156
TABLE 117 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 157
TABLE 118 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 157
8.14 CYBERSECURITY 157
8.14.1 AI IN HEALTHCARE CYBERSECURITY TO BECOME CRITICAL IN PROTECTION OF ONSITE SYSTEMS 157
TABLE 119 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 158
TABLE 120 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 158
TABLE 121 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 158
TABLE 122 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 159
9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER 160
9.1 INTRODUCTION 161
FIGURE 45 AI IN HEALTHCARE MARKET, BY END USER 161
FIGURE 46 HOSPITALS & HEALTHCARE PROVIDERS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD 162
TABLE 123 AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 162
TABLE 124 AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 162
9.2 HOSPITALS AND HEALTHCARE PROVIDERS 163
9.2.1 UTILIZE AI TO PREDICT AND PREVENT READMISSIONS AND IMPROVE OPERATIONS 163
TABLE 125 HOSPITALS & HEALTHCARE PROVIDERS: RECENT DEVELOPMENT 164
TABLE 126 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 165
TABLE 127 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 165
TABLE 128 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 166
TABLE 129 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 166
9.3 PATIENTS 166
9.3.1 INCREASING POPULARITY OF SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF AI AMONG PATIENTS 166
TABLE 130 PATIENTS: RECENT DEVELOPMENT 167
TABLE 131 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 167
TABLE 132 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 167
TABLE 133 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 168
TABLE 134 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 168
9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES 168
9.4.1 USE AI FOR DRUG DISCOVERY, PRECISION MEDICINE, AND RESEARCH APPLICATIONS 168
TABLE 135 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: RECENT DEVELOPMENT 169
TABLE 136 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 169
TABLE 137 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 170
TABLE 138 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 170
TABLE 139 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 170
9.5 HEALTHCARE PAYERS 171
9.5.1 USE AI TOOLS TO MANAGE RISKS, IDENTIFY CLAIM TRENDS, AND MAXIMIZE PAYMENT ACCURACY 171
TABLE 140 HEALTHCARE PAYERS: RECENT DEVELOPMENT 172
TABLE 141 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 172
TABLE 142 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 172
TABLE 143 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 173
TABLE 144 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 173

9.6 OTHERS 173
TABLE 145 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 174
TABLE 146 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 174
TABLE 147 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 174
TABLE 148 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 175
10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION 176
10.1 INTRODUCTION 177
FIGURE 47 CHINA AND MEXICO TO EMERGE AS NEW HOTSPOTS FOR AI IN HEALTHCARE MARKET 177
FIGURE 48 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 178
TABLE 149 AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 178
TABLE 150 AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 178
10.2 NORTH AMERICA 179
FIGURE 49 NORTH AMERICA: AI IN HEALTHCARE MARKET SNAPSHOT 180
FIGURE 50 US TO DOMINATE AI IN HEALTHCARE MARKET IN NORTH AMERICA IN 2028 180
TABLE 151 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 181
TABLE 152 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 181
TABLE 153 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 181
TABLE 154 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 182
10.2.1 US 182
10.2.1.1 High healthcare spending combined with increasing demand for AI in medical sector to complement market growth 182
TABLE 155 US: RECENT DEVELOPMENT 183
10.2.2 CANADA 184
10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada to propel market 184
TABLE 156 CANADA: RECENT DEVELOPMENT 184
10.2.3 MEXICO 185
10.2.3.1 Mexico to account for smallest share of AI in healthcare market in North America during forecast period 185
TABLE 157 MEXICO: RECENT DEVELOPMENT 185
10.3 EUROPE 185
FIGURE 51 EUROPE: AI IN HEALTHCARE MARKET SNAPSHOT 186
FIGURE 52 REST OF EUROPE TO EXHIBIT HIGHEST CAGR IN EUROPEAN AI IN HEALTHCARE MARKET IN 2028 187
TABLE 158 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 187
TABLE 159 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 188
TABLE 160 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 188
TABLE 161 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 188
TABLE 162 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 189
TABLE 163 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 189
10.3.1 GERMANY 190
10.3.1.1 Government initiatives to expedite AI development to support market growth 190
TABLE 164 GERMANY: RECENT DEVELOPMENT 190
10.3.2 UK 191
10.3.2.1 Adoption of AI in drug discovery space to fuel market growth 191
TABLE 165 UK: RECENT DEVELOPMENT 191
10.3.3 FRANCE 192
10.3.3.1 Government endeavors to develop healthcare IT in France likely to support market 192
TABLE 166 FRANCE: RECENT DEVELOPMENT 192
10.3.4 ITALY 193
10.3.4.1 Development of electronic health records and aging population to drive market 193
TABLE 167 ITALY: RECENT DEVELOPMENT 193
10.3.5 SPAIN 194
10.3.5.1 Growing awareness of AI in Spain to favor market growth 194
TABLE 168 SPAIN: RECENT DEVELOPMENT 194
10.3.6 REST OF EUROPE 194
10.4 ASIA PACIFIC 195
FIGURE 53 ASIA PACIFIC: AI IN HEALTHCARE MARKET SNAPSHOT 196
FIGURE 54 CHINA TO EXHIBIT HIGHEST CAGR IN AI IN HEALTHCARE MARKET ASIA PACIFIC IN 2028 197
TABLE 169 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 197
TABLE 170 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 197
TABLE 171 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 198
TABLE 172 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 198
TABLE 173 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 199
TABLE 174 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 199

10.4.1 CHINA 200
10.4.1.1 Concrete government measures to accelerate AI development to augment market growth 200
TABLE 175 CHINA: RECENT DEVELOPMENT 200
10.4.2 JAPAN 201
10.4.2.1 AI adoption to expedite drug discovery to motivate market growth 201
10.4.3 SOUTH KOREA 202
10.4.3.1 Government’s AI National Strategy to push market growth in South Korea 202
TABLE 176 SOUTH KOREA: RECENT DEVELOPMENT 202
10.4.4 INDIA 203
10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives to spur market growth 203
TABLE 177 INDIA: RECENT DEVELOPMENT 203
10.4.5 REST OF ASIA PACIFIC 204
TABLE 178 REST OF ASIA PACIFIC: RECENT DEVELOPMENT 204
10.5 REST OF THE WORLD 205
FIGURE 55 REST OF THE WORLD: SNAPSHOT OF AI IN HEALTHCARE MARKET 205
FIGURE 56 SOUTH AMERICA TO DOMINATE MARKET IN ROW IN 2028 206
TABLE 179 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION) 206
TABLE 180 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION) 206
TABLE 181 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION) 207
TABLE 182 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION) 207
TABLE 183 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION) 208
TABLE 184 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 208
10.5.1 SOUTH AMERICA 209
10.5.1.1 High investments in healthcare IT to encourage market growth 209
10.5.2 MIDDLE EAST AND AFRICA 209
10.5.2.1 Growing healthcare expenditure in Middle East and North Africa to foster growth of AI in healthcare market 209
TABLE 185 MIDDLE EAST AND AFRICA: RECENT DEVELOPMENT 210
11 COMPETITIVE LANDSCAPE 211
11.1 INTRODUCTION 211
11.2 MARKET EVALUATION FRAMEWORK 211
TABLE 186 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI IN HEALTHCARE MARKET 211
11.2.1 PRODUCT PORTFOLIO 213
11.2.2 REGIONAL FOCUS 213
11.2.3 MANUFACTURING FOOTPRINT 213
11.2.4 ORGANIC/INORGANIC GROWTH STRATEGIES 213
11.3 REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET 214
FIGURE 57 FIVE-YEAR REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET 214
11.4 MARKET SHARE ANALYSIS, 2022 215
TABLE 187 AI IN HEALTHCARE MARKET: DEGREE OF COMPETITION 215
11.5 COMPANY EVALUATION QUADRANT 217
11.5.1 STARS 217
11.5.2 PERVASIVE PLAYERS 217
11.5.3 EMERGING LEADERS 218
11.5.4 PARTICIPANTS 218
FIGURE 58 AI IN HEALTHCARE MARKET: COMPANY EVALUATION QUADRANT, 2022 218
11.6 STARTUP/SME EVALUATION QUADRANT 219
11.6.1 PROGRESSIVE COMPANIES 219
11.6.2 RESPONSIVE COMPANIES 219
11.6.3 DYNAMIC COMPANIES 219
11.6.4 STARTING BLOCKS 219
FIGURE 59 AI IN HEALTHCARE MARKET: STARTUP/SME EVALUATION QUADRANT, 2022 220
11.7 AI IN HEALTHCARE MARKET: COMPANY FOOTPRINT 221
TABLE 188 COMPANY FOOTPRINT 221
TABLE 189 COMPANY OFFERING FOOTPRINT 221
TABLE 190 END-USER FOOTPRINT OF COMPANIES 222
TABLE 191 REGIONAL FOOTPRINT OF COMPANIES 222
11.8 COMPETITIVE BENCHMARKING 223
TABLE 192 STARTUPS/SMES MATRIX: DETAILED LIST OF KEY STARTUPS 223
TABLE 193 AI IN HEALTHCARE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES 224
11.9 COMPETITIVE SCENARIOS AND TRENDS 225
11.9.1 PRODUCT LAUNCHES & DEVELOPMENTS 225
TABLE 194 AI IN HEALTHCARE MARKET: PRODUCT LAUNCHES & DEVELOPMENTS, JANUARY 2019–DECEMBER 2022 225
11.9.2 DEALS 226
TABLE 195 AI IN HEALTHCARE MARKET: DEALS, JANUARY 2019–DECEMBER 2022 226

12 COMPANY PROFILES 228
12.1 KEY PLAYERS 228
(Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View)*
12.1.1 INTEL CORPORATION 228
TABLE 196 INTEL CORPORATION: BUSINESS OVERVIEW 228
FIGURE 60 INTEL CORPORATION: COMPANY SNAPSHOT 229
12.1.2 KONINKLIJKE PHILIPS N.V. 234
TABLE 197 KONINKLIJKE PHILIPS N.V.: BUSINESS OVERVIEW 234
FIGURE 61 KONINKLIJKE PHILIPS N.V.: COMPANY SNAPSHOT 235
12.1.3 MICROSOFT 240
TABLE 198 MICROSOFT: BUSINESS OVERVIEW 240
FIGURE 62 MICROSOFT: COMPANY SNAPSHOT 241
12.1.4 SIEMENS HEALTHINEERS 245
TABLE 199 SIEMENS HEALTHINEERS: BUSINESS OVERVIEW 245
FIGURE 63 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT 246
12.1.5 NVIDIA CORPORATION 249
TABLE 200 NVIDIA CORPORATION: BUSINESS OVERVIEW 249
FIGURE 64 NVIDIA CORPORATION: COMPANY SNAPSHOT 250
12.1.6 GOOGLE INC. 255
TABLE 201 GOOGLE INC.: BUSINESS OVERVIEW 255
FIGURE 65 GOOGLE INC.: COMPANY SNAPSHOT 256
12.1.7 GENERAL ELECTRIC COMPANY 259
TABLE 202 GENERAL ELECTRIC COMPANY: BUSINESS OVERVIEW 259
FIGURE 66 GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT 260
12.1.8 MEDTRONIC 263
TABLE 203 MEDTRONIC: BUSINESS OVERVIEW 263
FIGURE 67 MEDTRONIC: COMPANY SNAPSHOT 264
12.1.9 MICRON TECHNOLOGY, INC. 266
TABLE 204 MICRON TECHNOLOGY, INC.: BUSINESS OVERVIEW 266
FIGURE 68 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT 267
12.1.10 AMAZON WEB SERVICES (AWS) 270
TABLE 205 AMAZON WEB SERVICES (AWS): BUSINESS OVERVIEW 270
FIGURE 69 AMAZON WEB SERVICES: COMPANY SNAPSHOT 270
12.1.11 JOHNSON & JOHNSON SERVICES, INC. 273
TABLE 206 JOHNSON & JOHNSON SERVICES, INC.: BUSINESS OVERVIEW 273
FIGURE 70 JOHNSON & JOHNSON SERVICES, INC.: COMPANY SNAPSHOT 274
* Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
12.2 STARTUP ECOSYSTEM 275
12.2.1 MERATIVE 275
12.2.2 GENERAL VISION 276
12.2.3 CLOUDMEDX 277
12.2.4 ONCORA MEDICAL 278
12.2.5 ENLITIC 279
12.2.6 LUNIT INC. 280
12.2.7 QURE.AI 281
12.2.8 ARTERYS INC. 282
12.2.9 COTA 283
12.2.10 FDNA INC. 284
12.2.11 RECURSION 285
12.2.12 ATOMWISE 286
12.2.13 VIRGIN PULSE 286
12.2.14 BABYLON HEALTH 287
12.2.15 MDLIVE (EVERNORTH GROUP) 288
12.2.16 STRYKER 288
12.2.17 QVENTUS 289
12.2.18 DESKTOP GENETICS 289
12.2.19 SIRONA MEDICAL, INC. 290
12.2.20 GINGER 290
12.2.21 BIOBEAT 291
13 APPENDIX 292
13.1 INSIGHTS FROM INDUSTRY EXPERTS 292
13.2 DISCUSSION GUIDE 293
13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 297
13.4 CUSTOMIZATION OPTIONS 299
13.5 RELATED REPORTS 299
13.6 AUTHOR DETAILS 300

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세계의 의료용 인공지능 (AI) 시장 (~2028년)

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