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
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:
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.
“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%
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.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 GEOGRAPHIC SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 1 AI IN HEALTHCARE MARKET: RESEARCH DESIGN
2.2 SECONDARY AND PRIMARY RESEARCH
FIGURE 2 AI IN HEALTHCARE MARKET: RESEARCH APPROACH
2.2.1 SECONDARY DATA
2.2.1.1 List of major secondary sources
2.2.1.2 Key data from secondary sources
2.2.2 PRIMARY DATA
2.2.2.1 Primary interviews with experts
2.2.2.2 Key data from primary sources
2.2.2.3 Key industry insights
2.2.2.4 Breakdown of primaries
2.3 MARKET SIZE ESTIMATION
2.3.1 BOTTOM-UP APPROACH
2.3.1.1 Estimating market size by bottom-up approach (demand side)
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (SUPPLY SIDE) —ILLUSTRATION OF REVENUE ESTIMATION OF COMPANIES FROM SALES OF AI IN HEALTHCARE OFFERING
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (DEMAND SIDE) —ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET, BY END USER
2.3.2 TOP-DOWN APPROACH
2.3.2.1 Estimating market size by top-down approach (supply side)
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: (SUPPLY SIDE)—REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 8 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
FIGURE 9 ASSUMPTIONS FOR RESEARCH STUDY
2.6 IMPACT OF RECESSION
2.7 RISK ASSESSMENT
TABLE 1 LIMITATIONS AND ASSOCIATED RISKS
2.8 LIMITATIONS
3 EXECUTIVE SUMMARY
3.1 AI IN HEALTHCARE MARKET: RECESSION IMPACT
FIGURE 10 RECESSION IMPACT: GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES
FIGURE 11 RECESSION IMPACT ON AI IN HEALTHCARE MARKET, 2019–2028 (USD MILLION)
FIGURE 12 SOFTWARE SEGMENT TO HOLD SECOND-LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
FIGURE 13 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
FIGURE 14 PATIENTS SEGMENT TO REGISTER HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
FIGURE 15 MEDICAL IMAGING & DIAGNOSTICS APPLICATION TO GROW AT HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
FIGURE 16 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2022
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR AI IN HEALTHCARE MARKET
FIGURE 17 INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES TO DRIVE MARKET GROWTH DURING 2023–2028
4.2 AI IN HEALTHCARE MARKET, BY OFFERING
FIGURE 18 SOFTWARE TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
FIGURE 19 MACHINE LEARNING TECHNOLOGY TO BE LARGEST SHAREHOLDER OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
4.4 AI IN HEALTHCARE MARKET, BY APPLICATION
FIGURE 20 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO REGISTER HIGHEST CAGR DURING 2023–2028
4.5 AI IN HEALTHCARE MARKET, BY END USER
FIGURE 21 HOSPITALS & HEALTHCARE PROVIDERS TO BE LARGEST SHAREHOLDERS OF AI IN HEALTHCARE MARKET IN 2023 TO 2028
4.6 AI IN HEALTHCARE MARKET, BY COUNTRY
FIGURE 22 AI IN HEALTHCARE MARKET IN CHINA AND MEXICO TO GROW AT HIGHEST CAGR FROM 2023 TO 2028
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 23 AI IN HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
FIGURE 24 ANALYSIS OF IMPACT OF DRIVERS ON AI IN HEALTHCARE MARKET
5.2.1.1 Generation of large and complex healthcare datasets
5.2.1.2 Pressing need to reduce healthcare costs
5.2.1.3 Improving computing power and declining hardware cost
5.2.1.4 Rising number of partnerships and collaborations among different domains in healthcare sector
5.2.1.5 Growing need for improvised healthcare services due to imbalance between healthcare workforce and patients
5.2.2 RESTRAINTS
FIGURE 25 ANALYSIS OF IMPACT OF RESTRAINTS ON AI IN HEALTHCARE MARKET
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies
5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software
5.2.3 OPPORTUNITIES
FIGURE 26 ANALYSIS OF IMPACT OF OPPORTUNITIES ON AI IN HEALTHCARE MARKET
5.2.3.1 Growing potential of AI-based tools for elderly care
5.2.3.2 Increasing focus on developing human-aware AI systems
5.2.3.3 Rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics
5.2.4 CHALLENGES
FIGURE 27 ANALYSIS OF IMPACT OF CHALLENGES ON AI IN HEALTHCARE MARKET
5.2.4.1 Lack of curated healthcare data
5.2.4.2 Concerns regarding data privacy
FIGURE 28 HEALTHCARE BREACHES REPORTED TO US DEPARTMENT OF HEALTH AND HUMAN SERVICES, 2019 TO 2021
5.2.4.3 Lack of interoperability between AI solutions offered by different vendors
FIGURE 29 CHALLENGES OF HEALTHCARE DATA INTEROPERABILITY
5.3 VALUE CHAIN ANALYSIS
FIGURE 30 AI IN HEALTHCARE MARKET VALUE CHAIN
5.4 PORTER’S FIVE FORCES ANALYSIS
TABLE 2 AI IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.5 ECOSYSTEM ANALYSIS
FIGURE 31 ECOSYSTEM OF AI IN HEALTHCARE
TABLE 3 ECOSYSTEM: AI IN HEALTHCARE MARKET
5.6 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR AI IN HEALTHCARE MARKET
FIGURE 32 TRENDS/DISRUPTION IMPACTING CUSTOMER BUSINESS
5.7 CASE STUDY ANALYSIS
5.7.1 USE CASE – BIOBEAT (ISRAEL)
5.7.2 USE CASE – CLEVELAND CLINIC AND MICROSOFT
5.7.3 USE CASE – TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN)
5.8 TECHNOLOGY ANALYSIS
5.8.1 CLOUD COMPUTING
5.8.2 CLOUD GPU
5.9 PRICING ANALYSIS
FIGURE 33 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS IN AI IN HEALTHCARE MARKET, 2019–2028 (USD)
5.9.1 AVERAGE SELLING PRICE (ASP) ANALYSIS OF COMPONENTS OFFERED BY KEY PLAYERS
FIGURE 34 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS OFFERED BY KEY COMPANIES
TABLE 4 ASP RANGE OF PROCESSOR COMPONENTS, 2019–2028
TABLE 5 ASP RANGE OF SERVER SOFTWARE
5.9.2 ASP TRENDS
5.10 TRADE ANALYSIS
FIGURE 35 EXPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND)
FIGURE 36 IMPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND)
5.11 PATENT ANALYSIS
FIGURE 37 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
TABLE 6 TOP 20 PATENT OWNERS IN LAST 10 YEARS
FIGURE 38 NUMBER OF PATENTS GRANTED PER YEAR, 2012–2021
5.11.1 MAJOR PATENTS
TABLE 7 MAJOR PATENTS IN AI IN HEALTHCARE MARKET
5.12 REGULATORY LANDSCAPE
TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2022
TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2022
TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY GERMANY, 2020
5.12.1 REGULATIONS
5.12.1.1 Export–import regulations
5.12.1.2 Restriction of Hazardous Substances (ROHS) and Waste Electrical and Electronic Equipment (WEEE)
5.12.1.3 Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH)
5.12.1.4 General Data Protection Regulation (GDPR)
6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
6.1 INTRODUCTION
FIGURE 39 AI IN HEALTHCARE MARKET, BY OFFERING
FIGURE 40 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
TABLE 11 AI IN HEALTHCARE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 12 AI IN HEALTHCARE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 HARDWARE
TABLE 13 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 14 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 15 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 16 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1 PROCESSOR
6.2.1.1 Intel Corporation (US), NVIDIA Corporation (US), AND Xilinx (US) key providers of hardware components for AI applications
TABLE 17 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS)
TABLE 18 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS)
TABLE 19 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 20 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
6.2.1.2 MPU/CPU
TABLE 21 CASE STUDY: DYNALIFE’S AND ALTAML’S COLON POLYP PROJECT
6.2.1.3 GPU
TABLE 22 CASE STUDY: UNIVERSITY OF SYDNEY, BRAIN AND MIND CENTER (SNAC) AND NVIDIA CORPORATION
6.2.1.4 FPGA
TABLE 23 FPGA: RECENT DEVELOPMENT
6.2.1.5 GPU
TABLE 24 CASE STUDY: XILINX AND SPLINE. AI
6.2.1.6 ASIC
6.2.1.7 GPU
TABLE 25 CASE STUDY: LONDON MEDICAL IMAGING & AI CENTRE & RUN:AI
6.2.2 MEMORY
6.2.2.1 Development of high-bandwidth memory for AI applications to drive market
TABLE 26 MEMORY: RECENT DEVELOPMENT
TABLE 27 CASE STUDY: INTEL, DELL, AND UNIVERSITY OF FLORIDA
6.2.3 NETWORK
6.2.3.1 NVIDIA Corporation (US) and Intel Corporation (US) among key providers of network interconnect adapters for AI applications
TABLE 28 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS)
TABLE 29 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS)
TABLE 30 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 31 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
6.3 SOFTWARE
TABLE 32 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 33 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 34 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 35 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1 AI SOLUTION
6.3.1.1 Integration of non-procedural languages in AI solutions to propel segmental growth
TABLE 36 CASE STUDY: PHILIPS AND AWS
TABLE 37 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 38 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
6.3.1.2 On-premises
TABLE 39 ON-PREMISES: RECENT DEVELOPMENT
6.3.1.3 Cloud
6.3.2 AI PLATFORM
6.3.2.1 Increasing use of AI platforms for decision-making and data management to boost segmental growth
TABLE 40 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2019–2022 (USD MILLION)
TABLE 41 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2023–2028 (USD MILLION)
6.3.2.2 Machine learning framework
6.3.2.3 Application program interface
6.4 SERVICES
TABLE 42 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 43 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 44 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.4.1 DEPLOYMENT & INTEGRATION
6.4.1.1 Key services for configuring AI systems in healthcare
6.4.2 SUPPORT & MAINTENANCE
6.4.2.1 Help to keep up performance of systems post installation
7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
FIGURE 41 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
FIGURE 42 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
TABLE 46 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 47 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
7.2 MACHINE LEARNING
TABLE 48 CASE STUDY: THE HEALTH MANAGEMENT ACADEMY (THE ACADEMY) AND NUANCE
TABLE 49 CAST STUDY: MAYO CLINIC AND GOOGLE INC
TABLE 50 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 51 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.2.1 DEEP LEARNING
7.2.1.1 Enables machines to build hierarchical representations
TABLE 52 CASE STUDY: SUBTLE MEDICAL AND BAYER
7.2.2 SUPERVISED LEARNING
7.2.2.1 Classification and regression major segments of supervised learning
7.2.3 REINFORCEMENT LEARNING
7.2.3.1 Allows systems and software to determine ideal behavior for maximizing performance of systems
7.2.4 UNSUPERVISED LEARNING
7.2.4.1 Includes clustering methods consisting of algorithms with unlabeled training data
7.2.5 OTHERS
7.3 NATURAL LANGUAGE PROCESSING
7.3.1 WIDELY USED BY CLINICAL AND RESEARCH COMMUNITIES IN HEALTHCARE
TABLE 53 CASE STUDY: ROCHE AND JOHN SNOW LABS
TABLE 54 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 55 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.4 CONTEXT-AWARE COMPUTING
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS TO ACCELERATE GROWTH OF CONTEXT-AWARE COMPUTING
TABLE 56 CONTEXT-AWARE COMPUTING: RECENT DEVELOPMENT
TABLE 57 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 58 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.5 COMPUTER VISION
7.5.1 USED FOR SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY
8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
8.1 INTRODUCTION
FIGURE 43 AI IN HEALTHCARE MARKET, BY APPLICATION
FIGURE 44 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2028
TABLE 59 AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 60 AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
8.2 PATIENT DATA & RISK ANALYSIS
8.2.1 PROVIDE PREDICTIVE INSIGHTS INTO PATIENT HEALTH USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING ALGORITHMS
TABLE 61 CASE STUDY: CLEVELAND CLINIC AND MICROSOFT
TABLE 62 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 63 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 64 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 65 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.3 IN-PATIENT CARE & HOSPITAL MANAGEMENT
8.3.1 HELP TO CUT DOWN EXCESSIVE OPERATIONAL COSTS AND LOWER COST OF PATIENT CARE
TABLE 66 CASE STUDY: TIDALHEALTH AND REGARDS
TABLE 67 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 68 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 69 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 70 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.4 MEDICAL IMAGING & DIAGNOSTICS
8.4.1 HELP TO GENERATE HIGHLY ACCURATE IMAGING DATA
TABLE 71 MEDICAL IMAGING DIAGNOSIS: RECENT DEVELOPMENT
TABLE 72 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 74 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 75 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING
8.5.1 HELP REDUCE BURDEN ON HOSPITALS
TABLE 76 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: RECENT DEVELOPMENT
TABLE 77 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 78 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 79 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 80 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.6 VIRTUAL ASSISTANTS
8.6.1 ASSIST IN DISSEMINATING PRECISE MEDICAL INFORMATION AMONG VULNERABLE POPULATIONS
TABLE 81 VIRTUAL ASSISTANT: RECENT DEVELOPMENT
TABLE 82 CASE STUDY: GOVERNMENT OF INDIA, ACCENTURE, AND MICROSOFT
TABLE 83 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 84 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 85 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 86 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.7 DRUG DISCOVERY
8.7.1 AI EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY
TABLE 87 DRUG DISCOVERY: RECENT DEVELOPMENT
TABLE 88 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 90 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 91 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.8 RESEARCH
8.8.1 AI ALGORITHMS USED BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING
TABLE 92 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 94 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 95 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.9 HEALTHCARE ASSISTANCE ROBOTS
8.9.1 HELP TO SIGNIFICANTLY REDUCE NEED FOR ROUND-THE-CLOCK MANUAL NURSING CARE
TABLE 96 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 97 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 98 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 99 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.10 PRECISION MEDICINE
8.10.1 AI EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE
TABLE 100 PRECISION MEDICINE: RECENT DEVELOPMENT
TABLE 101 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 102 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 103 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 104 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.11 EMERGENCY ROOM & SURGERY
8.11.1 LIMITED AVAILABILITY OF SKILLED WORKFORCE IN EMERGENCY ROOMS TO DRIVE ADOPTION OF AI
TABLE 105 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 106 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 107 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 108 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.12 WEARABLES
8.12.1 FACILITATE IMPROVED, REAL-TIME PATIENT MONITORING
TABLE 109 CASE STUDY: KENSCI, MICROSOFT, AND FEDERAL GOVERNMENT
TABLE 110 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 111 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 112 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 113 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.13 MENTAL HEALTH
8.13.1 AI USED IN DIAGNOSIS OF MENTAL DISTRESS AND NEUROLOGICAL ABNORMALITIES
TABLE 114 MENTAL HEALTH: RECENT DEVELOPMENT
TABLE 115 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 116 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 117 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 118 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.14 CYBERSECURITY
8.14.1 AI IN HEALTHCARE CYBERSECURITY TO BECOME CRITICAL IN PROTECTION OF ONSITE SYSTEMS
TABLE 119 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 120 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 121 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 122 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
9.1 INTRODUCTION
FIGURE 45 AI IN HEALTHCARE MARKET, BY END USER
FIGURE 46 HOSPITALS & HEALTHCARE PROVIDERS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
TABLE 123 AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 124 AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
9.2 HOSPITALS AND HEALTHCARE PROVIDERS
9.2.1 UTILIZE AI TO PREDICT AND PREVENT READMISSIONS AND IMPROVE OPERATIONS
TABLE 125 HOSPITALS & HEALTHCARE PROVIDERS: RECENT DEVELOPMENT
TABLE 126 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 127 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 128 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 129 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.3 PATIENTS
9.3.1 INCREASING POPULARITY OF SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF AI AMONG PATIENTS
TABLE 130 PATIENTS: RECENT DEVELOPMENT
TABLE 131 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 132 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 133 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 134 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES
9.4.1 USE AI FOR DRUG DISCOVERY, PRECISION MEDICINE, AND RESEARCH APPLICATIONS
TABLE 135 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: RECENT DEVELOPMENT
TABLE 136 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 137 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 138 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 139 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.5 HEALTHCARE PAYERS
9.5.1 USE AI TOOLS TO MANAGE RISKS, IDENTIFY CLAIM TRENDS, AND MAXIMIZE PAYMENT ACCURACY
TABLE 140 HEALTHCARE PAYERS: RECENT DEVELOPMENT
TABLE 141 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 142 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 143 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 144 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.6 OTHERS
TABLE 145 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 146 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 147 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 148 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION
10.1 INTRODUCTION
FIGURE 47 CHINA AND MEXICO TO EMERGE AS NEW HOTSPOTS FOR AI IN HEALTHCARE MARKET
FIGURE 48 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 149 AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 150 AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
10.2 NORTH AMERICA
FIGURE 49 NORTH AMERICA: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 50 US TO DOMINATE AI IN HEALTHCARE MARKET IN NORTH AMERICA IN 2028
TABLE 151 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 152 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 153 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 154 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.2.1 US
10.2.1.1 High healthcare spending combined with increasing demand for AI in medical sector to complement market growth
TABLE 155 US: RECENT DEVELOPMENT
10.2.2 CANADA
10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada to propel market
TABLE 156 CANADA: RECENT DEVELOPMENT
10.2.3 MEXICO
10.2.3.1 Mexico to account for smallest share of AI in healthcare market in North America during forecast period
TABLE 157 MEXICO: RECENT DEVELOPMENT
10.3 EUROPE
FIGURE 51 EUROPE: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 52 REST OF EUROPE TO EXHIBIT HIGHEST CAGR IN EUROPEAN AI IN HEALTHCARE MARKET IN 2028
TABLE 158 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 159 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 160 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 161 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 162 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 163 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.3.1 GERMANY
10.3.1.1 Government initiatives to expedite AI development to support market growth
TABLE 164 GERMANY: RECENT DEVELOPMENT
10.3.2 UK
10.3.2.1 Adoption of AI in drug discovery space to fuel market growth
TABLE 165 UK: RECENT DEVELOPMENT
10.3.3 FRANCE
10.3.3.1 Government endeavors to develop healthcare IT in France likely to support market
TABLE 166 FRANCE: RECENT DEVELOPMENT
10.3.4 ITALY
10.3.4.1 Development of electronic health records and aging population to drive market
TABLE 167 ITALY: RECENT DEVELOPMENT
10.3.5 SPAIN
10.3.5.1 Growing awareness of AI in Spain to favor market growth
TABLE 168 SPAIN: RECENT DEVELOPMENT
10.3.6 REST OF EUROPE
10.4 ASIA PACIFIC
FIGURE 53 ASIA PACIFIC: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 54 CHINA TO EXHIBIT HIGHEST CAGR IN AI IN HEALTHCARE MARKET ASIA PACIFIC IN 2028
TABLE 169 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 170 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 171 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 172 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 173 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 174 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.4.1 CHINA
10.4.1.1 Concrete government measures to accelerate AI development to augment market growth
TABLE 175 CHINA: RECENT DEVELOPMENT
10.4.2 JAPAN
10.4.2.1 AI adoption to expedite drug discovery to motivate market growth
10.4.3 SOUTH KOREA
10.4.3.1 Government’s AI National Strategy to push market growth in South Korea
TABLE 176 SOUTH KOREA: RECENT DEVELOPMENT
10.4.4 INDIA
10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives to spur market growth
TABLE 177 INDIA: RECENT DEVELOPMENT
10.4.5 REST OF ASIA PACIFIC
TABLE 178 REST OF ASIA PACIFIC: RECENT DEVELOPMENT
10.5 REST OF THE WORLD
FIGURE 55 REST OF THE WORLD: SNAPSHOT OF AI IN HEALTHCARE MARKET
FIGURE 56 SOUTH AMERICA TO DOMINATE MARKET IN ROW IN 2028
TABLE 179 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 180 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 181 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 182 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 183 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 184 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.5.1 SOUTH AMERICA
10.5.1.1 High investments in healthcare IT to encourage market growth
10.5.2 MIDDLE EAST AND AFRICA
10.5.2.1 Growing healthcare expenditure in Middle East and North Africa to foster growth of AI in healthcare market
TABLE 185 MIDDLE EAST AND AFRICA: RECENT DEVELOPMENT
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 MARKET EVALUATION FRAMEWORK
TABLE 186 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI IN HEALTHCARE MARKET
11.2.1 PRODUCT PORTFOLIO
11.2.2 REGIONAL FOCUS
11.2.3 MANUFACTURING FOOTPRINT
11.2.4 ORGANIC/INORGANIC GROWTH STRATEGIES
11.3 REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET
FIGURE 57 FIVE-YEAR REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET
11.4 MARKET SHARE ANALYSIS, 2022
TABLE 187 AI IN HEALTHCARE MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 PERVASIVE PLAYERS
11.5.3 EMERGING LEADERS
11.5.4 PARTICIPANTS
FIGURE 58 AI IN HEALTHCARE MARKET: COMPANY EVALUATION QUADRANT, 2022
11.6 STARTUP/SME EVALUATION QUADRANT
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
FIGURE 59 AI IN HEALTHCARE MARKET: STARTUP/SME EVALUATION QUADRANT, 2022
11.7 AI IN HEALTHCARE MARKET: COMPANY FOOTPRINT
TABLE 188 COMPANY FOOTPRINT
TABLE 189 COMPANY OFFERING FOOTPRINT
TABLE 190 END-USER FOOTPRINT OF COMPANIES
TABLE 191 REGIONAL FOOTPRINT OF COMPANIES
11.8 COMPETITIVE BENCHMARKING
TABLE 192 STARTUPS/SMES MATRIX: DETAILED LIST OF KEY STARTUPS
TABLE 193 AI IN HEALTHCARE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
11.9 COMPETITIVE SCENARIOS AND TRENDS
11.9.1 PRODUCT LAUNCHES & DEVELOPMENTS
TABLE 194 AI IN HEALTHCARE MARKET: PRODUCT LAUNCHES & DEVELOPMENTS, JANUARY 2019–DECEMBER 2022
11.9.2 DEALS
TABLE 195 AI IN HEALTHCARE MARKET: DEALS, JANUARY 2019–DECEMBER 2022
12 COMPANY PROFILES
12.1 KEY PLAYERS
(Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View)*
12.1.1 INTEL CORPORATION
TABLE 196 INTEL CORPORATION: BUSINESS OVERVIEW
FIGURE 60 INTEL CORPORATION: COMPANY SNAPSHOT
12.1.2 KONINKLIJKE PHILIPS N.V.
TABLE 197 KONINKLIJKE PHILIPS N.V.: BUSINESS OVERVIEW
FIGURE 61 KONINKLIJKE PHILIPS N.V.: COMPANY SNAPSHOT
12.1.3 MICROSOFT
TABLE 198 MICROSOFT: BUSINESS OVERVIEW
FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
12.1.4 SIEMENS HEALTHINEERS
TABLE 199 SIEMENS HEALTHINEERS: BUSINESS OVERVIEW
FIGURE 63 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT
12.1.5 NVIDIA CORPORATION
TABLE 200 NVIDIA CORPORATION: BUSINESS OVERVIEW
FIGURE 64 NVIDIA CORPORATION: COMPANY SNAPSHOT
12.1.6 GOOGLE INC.
TABLE 201 GOOGLE INC.: BUSINESS OVERVIEW
FIGURE 65 GOOGLE INC.: COMPANY SNAPSHOT
12.1.7 GENERAL ELECTRIC COMPANY
TABLE 202 GENERAL ELECTRIC COMPANY: BUSINESS OVERVIEW
FIGURE 66 GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT
12.1.8 MEDTRONIC
TABLE 203 MEDTRONIC: BUSINESS OVERVIEW
FIGURE 67 MEDTRONIC: COMPANY SNAPSHOT
12.1.9 MICRON TECHNOLOGY, INC.
TABLE 204 MICRON TECHNOLOGY, INC.: BUSINESS OVERVIEW
FIGURE 68 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
12.1.10 AMAZON WEB SERVICES (AWS)
TABLE 205 AMAZON WEB SERVICES (AWS): BUSINESS OVERVIEW
FIGURE 69 AMAZON WEB SERVICES: COMPANY SNAPSHOT
12.1.11 JOHNSON & JOHNSON SERVICES, INC.
TABLE 206 JOHNSON & JOHNSON SERVICES, INC.: BUSINESS OVERVIEW
FIGURE 70 JOHNSON & JOHNSON SERVICES, INC.: COMPANY SNAPSHOT
* Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
12.2 STARTUP ECOSYSTEM
12.2.1 MERATIVE
12.2.2 GENERAL VISION
12.2.3 CLOUDMEDX
12.2.4 ONCORA MEDICAL
12.2.5 ENLITIC
12.2.6 LUNIT INC.
12.2.7 QURE.AI
12.2.8 ARTERYS INC.
12.2.9 COTA
12.2.10 FDNA INC.
12.2.11 RECURSION
12.2.12 ATOMWISE
12.2.13 VIRGIN PULSE
12.2.14 BABYLON HEALTH
12.2.15 MDLIVE (EVERNORTH GROUP)
12.2.16 STRYKER
12.2.17 QVENTUS
12.2.18 DESKTOP GENETICS
12.2.19 SIRONA MEDICAL, INC.
12.2.20 GINGER
12.2.21 BIOBEAT
13 APPENDIX
13.1 INSIGHTS FROM INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 CUSTOMIZATION OPTIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED
1.3.2 GEOGRAPHIC SCOPE
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 UNITS CONSIDERED
1.6 LIMITATIONS
1.7 STAKEHOLDERS
1.8 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
FIGURE 1 AI IN HEALTHCARE MARKET: RESEARCH DESIGN
2.2 SECONDARY AND PRIMARY RESEARCH
FIGURE 2 AI IN HEALTHCARE MARKET: RESEARCH APPROACH
2.2.1 SECONDARY DATA
2.2.1.1 List of major secondary sources
2.2.1.2 Key data from secondary sources
2.2.2 PRIMARY DATA
2.2.2.1 Primary interviews with experts
2.2.2.2 Key data from primary sources
2.2.2.3 Key industry insights
2.2.2.4 Breakdown of primaries
2.3 MARKET SIZE ESTIMATION
2.3.1 BOTTOM-UP APPROACH
2.3.1.1 Estimating market size by bottom-up approach (demand side)
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (SUPPLY SIDE) —ILLUSTRATION OF REVENUE ESTIMATION OF COMPANIES FROM SALES OF AI IN HEALTHCARE OFFERING
FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP (DEMAND SIDE) —ESTIMATION OF SIZE OF AI IN HEALTHCARE MARKET, BY END USER
2.3.2 TOP-DOWN APPROACH
2.3.2.1 Estimating market size by top-down approach (supply side)
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: (SUPPLY SIDE)—REVENUE GENERATED FROM AI IN HEALTHCARE OFFERINGS
2.4 MARKET BREAKDOWN AND DATA TRIANGULATION
FIGURE 8 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
FIGURE 9 ASSUMPTIONS FOR RESEARCH STUDY
2.6 IMPACT OF RECESSION
2.7 RISK ASSESSMENT
TABLE 1 LIMITATIONS AND ASSOCIATED RISKS
2.8 LIMITATIONS
3 EXECUTIVE SUMMARY
3.1 AI IN HEALTHCARE MARKET: RECESSION IMPACT
FIGURE 10 RECESSION IMPACT: GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES
FIGURE 11 RECESSION IMPACT ON AI IN HEALTHCARE MARKET, 2019–2028 (USD MILLION)
FIGURE 12 SOFTWARE SEGMENT TO HOLD SECOND-LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
FIGURE 13 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
FIGURE 14 PATIENTS SEGMENT TO REGISTER HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
FIGURE 15 MEDICAL IMAGING & DIAGNOSTICS APPLICATION TO GROW AT HIGHEST CAGR AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
FIGURE 16 NORTH AMERICA ACCOUNTED FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2022
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR AI IN HEALTHCARE MARKET
FIGURE 17 INCREASING ADOPTION OF AI-BASED TOOLS IN HEALTHCARE FACILITIES TO DRIVE MARKET GROWTH DURING 2023–2028
4.2 AI IN HEALTHCARE MARKET, BY OFFERING
FIGURE 18 SOFTWARE TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
4.3 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
FIGURE 19 MACHINE LEARNING TECHNOLOGY TO BE LARGEST SHAREHOLDER OF AI IN HEALTHCARE MARKET FROM 2023 TO 2028
4.4 AI IN HEALTHCARE MARKET, BY APPLICATION
FIGURE 20 MEDICAL IMAGING & DIAGNOSTICS SEGMENT TO REGISTER HIGHEST CAGR DURING 2023–2028
4.5 AI IN HEALTHCARE MARKET, BY END USER
FIGURE 21 HOSPITALS & HEALTHCARE PROVIDERS TO BE LARGEST SHAREHOLDERS OF AI IN HEALTHCARE MARKET IN 2023 TO 2028
4.6 AI IN HEALTHCARE MARKET, BY COUNTRY
FIGURE 22 AI IN HEALTHCARE MARKET IN CHINA AND MEXICO TO GROW AT HIGHEST CAGR FROM 2023 TO 2028
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
FIGURE 23 AI IN HEALTHCARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
5.2.1 DRIVERS
FIGURE 24 ANALYSIS OF IMPACT OF DRIVERS ON AI IN HEALTHCARE MARKET
5.2.1.1 Generation of large and complex healthcare datasets
5.2.1.2 Pressing need to reduce healthcare costs
5.2.1.3 Improving computing power and declining hardware cost
5.2.1.4 Rising number of partnerships and collaborations among different domains in healthcare sector
5.2.1.5 Growing need for improvised healthcare services due to imbalance between healthcare workforce and patients
5.2.2 RESTRAINTS
FIGURE 25 ANALYSIS OF IMPACT OF RESTRAINTS ON AI IN HEALTHCARE MARKET
5.2.2.1 Reluctance among medical practitioners to adopt AI-based technologies
5.2.2.2 Lack of skilled AI workforce and ambiguous regulatory guidelines for medical software
5.2.3 OPPORTUNITIES
FIGURE 26 ANALYSIS OF IMPACT OF OPPORTUNITIES ON AI IN HEALTHCARE MARKET
5.2.3.1 Growing potential of AI-based tools for elderly care
5.2.3.2 Increasing focus on developing human-aware AI systems
5.2.3.3 Rising potential of AI technology in genomics, drug discovery, and imaging & diagnostics
5.2.4 CHALLENGES
FIGURE 27 ANALYSIS OF IMPACT OF CHALLENGES ON AI IN HEALTHCARE MARKET
5.2.4.1 Lack of curated healthcare data
5.2.4.2 Concerns regarding data privacy
FIGURE 28 HEALTHCARE BREACHES REPORTED TO US DEPARTMENT OF HEALTH AND HUMAN SERVICES, 2019 TO 2021
5.2.4.3 Lack of interoperability between AI solutions offered by different vendors
FIGURE 29 CHALLENGES OF HEALTHCARE DATA INTEROPERABILITY
5.3 VALUE CHAIN ANALYSIS
FIGURE 30 AI IN HEALTHCARE MARKET VALUE CHAIN
5.4 PORTER’S FIVE FORCES ANALYSIS
TABLE 2 AI IN HEALTHCARE MARKET: PORTER’S FIVE FORCES ANALYSIS
5.5 ECOSYSTEM ANALYSIS
FIGURE 31 ECOSYSTEM OF AI IN HEALTHCARE
TABLE 3 ECOSYSTEM: AI IN HEALTHCARE MARKET
5.6 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR AI IN HEALTHCARE MARKET
FIGURE 32 TRENDS/DISRUPTION IMPACTING CUSTOMER BUSINESS
5.7 CASE STUDY ANALYSIS
5.7.1 USE CASE – BIOBEAT (ISRAEL)
5.7.2 USE CASE – CLEVELAND CLINIC AND MICROSOFT
5.7.3 USE CASE – TRANSLATIONAL GENOMICS RESEARCH INSTITUTE (TGEN)
5.8 TECHNOLOGY ANALYSIS
5.8.1 CLOUD COMPUTING
5.8.2 CLOUD GPU
5.9 PRICING ANALYSIS
FIGURE 33 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS IN AI IN HEALTHCARE MARKET, 2019–2028 (USD)
5.9.1 AVERAGE SELLING PRICE (ASP) ANALYSIS OF COMPONENTS OFFERED BY KEY PLAYERS
FIGURE 34 AVERAGE SELLING PRICE OF PROCESSOR COMPONENTS OFFERED BY KEY COMPANIES
TABLE 4 ASP RANGE OF PROCESSOR COMPONENTS, 2019–2028
TABLE 5 ASP RANGE OF SERVER SOFTWARE
5.9.2 ASP TRENDS
5.10 TRADE ANALYSIS
FIGURE 35 EXPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND)
FIGURE 36 IMPORT DATA FOR HS CODE 854231 FOR TOP COUNTRIES IN AI IN HEALTHCARE MARKET, 2017–2021 (USD THOUSAND)
5.11 PATENT ANALYSIS
FIGURE 37 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
TABLE 6 TOP 20 PATENT OWNERS IN LAST 10 YEARS
FIGURE 38 NUMBER OF PATENTS GRANTED PER YEAR, 2012–2021
5.11.1 MAJOR PATENTS
TABLE 7 MAJOR PATENTS IN AI IN HEALTHCARE MARKET
5.12 REGULATORY LANDSCAPE
TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2022
TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2022
TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY GERMANY, 2020
5.12.1 REGULATIONS
5.12.1.1 Export–import regulations
5.12.1.2 Restriction of Hazardous Substances (ROHS) and Waste Electrical and Electronic Equipment (WEEE)
5.12.1.3 Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH)
5.12.1.4 General Data Protection Regulation (GDPR)
6 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERING
6.1 INTRODUCTION
FIGURE 39 AI IN HEALTHCARE MARKET, BY OFFERING
FIGURE 40 SOFTWARE TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
TABLE 11 AI IN HEALTHCARE MARKET, BY OFFERING, 2019–2022 (USD MILLION)
TABLE 12 AI IN HEALTHCARE MARKET, BY OFFERING, 2023–2028 (USD MILLION)
6.2 HARDWARE
TABLE 13 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 14 HARDWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 15 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 16 HARDWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.2.1 PROCESSOR
6.2.1.1 Intel Corporation (US), NVIDIA Corporation (US), AND Xilinx (US) key providers of hardware components for AI applications
TABLE 17 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS)
TABLE 18 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS)
TABLE 19 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 20 PROCESSOR: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
6.2.1.2 MPU/CPU
TABLE 21 CASE STUDY: DYNALIFE’S AND ALTAML’S COLON POLYP PROJECT
6.2.1.3 GPU
TABLE 22 CASE STUDY: UNIVERSITY OF SYDNEY, BRAIN AND MIND CENTER (SNAC) AND NVIDIA CORPORATION
6.2.1.4 FPGA
TABLE 23 FPGA: RECENT DEVELOPMENT
6.2.1.5 GPU
TABLE 24 CASE STUDY: XILINX AND SPLINE. AI
6.2.1.6 ASIC
6.2.1.7 GPU
TABLE 25 CASE STUDY: LONDON MEDICAL IMAGING & AI CENTRE & RUN:AI
6.2.2 MEMORY
6.2.2.1 Development of high-bandwidth memory for AI applications to drive market
TABLE 26 MEMORY: RECENT DEVELOPMENT
TABLE 27 CASE STUDY: INTEL, DELL, AND UNIVERSITY OF FLORIDA
6.2.3 NETWORK
6.2.3.1 NVIDIA Corporation (US) and Intel Corporation (US) among key providers of network interconnect adapters for AI applications
TABLE 28 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (MILLION UNITS)
TABLE 29 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (MILLION UNITS)
TABLE 30 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 31 NETWORK: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
6.3 SOFTWARE
TABLE 32 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 33 SOFTWARE: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 34 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 35 SOFTWARE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.3.1 AI SOLUTION
6.3.1.1 Integration of non-procedural languages in AI solutions to propel segmental growth
TABLE 36 CASE STUDY: PHILIPS AND AWS
TABLE 37 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2019–2022 (USD MILLION)
TABLE 38 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI SOLUTIONS, BY DEPLOYMENT TYPE, 2023–2028 (USD MILLION)
6.3.1.2 On-premises
TABLE 39 ON-PREMISES: RECENT DEVELOPMENT
6.3.1.3 Cloud
6.3.2 AI PLATFORM
6.3.2.1 Increasing use of AI platforms for decision-making and data management to boost segmental growth
TABLE 40 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2019–2022 (USD MILLION)
TABLE 41 SOFTWARE: AI IN HEALTHCARE MARKET FOR AI PLATFORMS, BY TYPE, 2023–2028 (USD MILLION)
6.3.2.2 Machine learning framework
6.3.2.3 Application program interface
6.4 SERVICES
TABLE 42 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 43 SERVICES: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
TABLE 44 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 45 SERVICES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
6.4.1 DEPLOYMENT & INTEGRATION
6.4.1.1 Key services for configuring AI systems in healthcare
6.4.2 SUPPORT & MAINTENANCE
6.4.2.1 Help to keep up performance of systems post installation
7 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY
7.1 INTRODUCTION
FIGURE 41 AI IN HEALTHCARE MARKET, BY TECHNOLOGY
FIGURE 42 MACHINE LEARNING TECHNOLOGY TO HOLD LARGEST SHARE OF AI IN HEALTHCARE MARKET DURING FORECAST PERIOD
TABLE 46 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION)
TABLE 47 AI IN HEALTHCARE MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION)
7.2 MACHINE LEARNING
TABLE 48 CASE STUDY: THE HEALTH MANAGEMENT ACADEMY (THE ACADEMY) AND NUANCE
TABLE 49 CAST STUDY: MAYO CLINIC AND GOOGLE INC
TABLE 50 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 51 MACHINE LEARNING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.2.1 DEEP LEARNING
7.2.1.1 Enables machines to build hierarchical representations
TABLE 52 CASE STUDY: SUBTLE MEDICAL AND BAYER
7.2.2 SUPERVISED LEARNING
7.2.2.1 Classification and regression major segments of supervised learning
7.2.3 REINFORCEMENT LEARNING
7.2.3.1 Allows systems and software to determine ideal behavior for maximizing performance of systems
7.2.4 UNSUPERVISED LEARNING
7.2.4.1 Includes clustering methods consisting of algorithms with unlabeled training data
7.2.5 OTHERS
7.3 NATURAL LANGUAGE PROCESSING
7.3.1 WIDELY USED BY CLINICAL AND RESEARCH COMMUNITIES IN HEALTHCARE
TABLE 53 CASE STUDY: ROCHE AND JOHN SNOW LABS
TABLE 54 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 55 NATURAL LANGUAGE PROCESSING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.4 CONTEXT-AWARE COMPUTING
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS TO ACCELERATE GROWTH OF CONTEXT-AWARE COMPUTING
TABLE 56 CONTEXT-AWARE COMPUTING: RECENT DEVELOPMENT
TABLE 57 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2019–2022 (USD MILLION)
TABLE 58 CONTEXT-AWARE COMPUTING: AI IN HEALTHCARE MARKET, BY TYPE, 2023–2028 (USD MILLION)
7.5 COMPUTER VISION
7.5.1 USED FOR SIGNIFICANT APPLICATIONS IN SURGERY AND THERAPY
8 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION
8.1 INTRODUCTION
FIGURE 43 AI IN HEALTHCARE MARKET, BY APPLICATION
FIGURE 44 MEDICAL IMAGING & DIAGNOSTICS TO ACCOUNT FOR LARGEST SHARE OF AI IN HEALTHCARE MARKET IN 2028
TABLE 59 AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 60 AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
8.2 PATIENT DATA & RISK ANALYSIS
8.2.1 PROVIDE PREDICTIVE INSIGHTS INTO PATIENT HEALTH USING MACHINE LEARNING AND NATURAL LANGUAGE PROCESSING ALGORITHMS
TABLE 61 CASE STUDY: CLEVELAND CLINIC AND MICROSOFT
TABLE 62 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 63 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 64 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 65 PATIENT DATA & RISK ANALYSIS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.3 IN-PATIENT CARE & HOSPITAL MANAGEMENT
8.3.1 HELP TO CUT DOWN EXCESSIVE OPERATIONAL COSTS AND LOWER COST OF PATIENT CARE
TABLE 66 CASE STUDY: TIDALHEALTH AND REGARDS
TABLE 67 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 68 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 69 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 70 IN-PATIENT CARE & HOSPITAL MANAGEMENT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.4 MEDICAL IMAGING & DIAGNOSTICS
8.4.1 HELP TO GENERATE HIGHLY ACCURATE IMAGING DATA
TABLE 71 MEDICAL IMAGING DIAGNOSIS: RECENT DEVELOPMENT
TABLE 72 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 73 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 74 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 75 MEDICAL IMAGING & DIAGNOSTICS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.5 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING
8.5.1 HELP REDUCE BURDEN ON HOSPITALS
TABLE 76 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: RECENT DEVELOPMENT
TABLE 77 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 78 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 79 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 80 LIFESTYLE MANAGEMENT & REMOTE PATIENT MONITORING: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.6 VIRTUAL ASSISTANTS
8.6.1 ASSIST IN DISSEMINATING PRECISE MEDICAL INFORMATION AMONG VULNERABLE POPULATIONS
TABLE 81 VIRTUAL ASSISTANT: RECENT DEVELOPMENT
TABLE 82 CASE STUDY: GOVERNMENT OF INDIA, ACCENTURE, AND MICROSOFT
TABLE 83 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 84 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 85 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 86 VIRTUAL ASSISTANT: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.7 DRUG DISCOVERY
8.7.1 AI EXPECTED TO REDUCE TIME AND COST INVOLVED IN DRUG DISCOVERY
TABLE 87 DRUG DISCOVERY: RECENT DEVELOPMENT
TABLE 88 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 89 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 90 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 91 DRUG DISCOVERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.8 RESEARCH
8.8.1 AI ALGORITHMS USED BY BIOINFORMATICS RESEARCHERS FOR DATABASE CLASSIFICATION AND MINING
TABLE 92 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 93 RESEARCH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 94 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 95 RESEARCH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.9 HEALTHCARE ASSISTANCE ROBOTS
8.9.1 HELP TO SIGNIFICANTLY REDUCE NEED FOR ROUND-THE-CLOCK MANUAL NURSING CARE
TABLE 96 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 97 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 98 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 99 HEALTHCARE ASSISTANCE ROBOTS: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.10 PRECISION MEDICINE
8.10.1 AI EXPECTED TO FULFIL DEMAND FOR PERSONALIZED TREATMENT PLANS FOR PATIENTS ADMINISTERED WITH PRECISION MEDICINE
TABLE 100 PRECISION MEDICINE: RECENT DEVELOPMENT
TABLE 101 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 102 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 103 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 104 PRECISION MEDICINE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.11 EMERGENCY ROOM & SURGERY
8.11.1 LIMITED AVAILABILITY OF SKILLED WORKFORCE IN EMERGENCY ROOMS TO DRIVE ADOPTION OF AI
TABLE 105 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 106 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 107 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 108 EMERGENCY ROOM & SURGERY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.12 WEARABLES
8.12.1 FACILITATE IMPROVED, REAL-TIME PATIENT MONITORING
TABLE 109 CASE STUDY: KENSCI, MICROSOFT, AND FEDERAL GOVERNMENT
TABLE 110 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 111 WEARABLES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 112 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 113 WEARABLES: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.13 MENTAL HEALTH
8.13.1 AI USED IN DIAGNOSIS OF MENTAL DISTRESS AND NEUROLOGICAL ABNORMALITIES
TABLE 114 MENTAL HEALTH: RECENT DEVELOPMENT
TABLE 115 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 116 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 117 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 118 MENTAL HEALTH: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
8.14 CYBERSECURITY
8.14.1 AI IN HEALTHCARE CYBERSECURITY TO BECOME CRITICAL IN PROTECTION OF ONSITE SYSTEMS
TABLE 119 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 120 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 121 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 122 CYBERSECURITY: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
9 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END USER
9.1 INTRODUCTION
FIGURE 45 AI IN HEALTHCARE MARKET, BY END USER
FIGURE 46 HOSPITALS & HEALTHCARE PROVIDERS TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
TABLE 123 AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 124 AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
9.2 HOSPITALS AND HEALTHCARE PROVIDERS
9.2.1 UTILIZE AI TO PREDICT AND PREVENT READMISSIONS AND IMPROVE OPERATIONS
TABLE 125 HOSPITALS & HEALTHCARE PROVIDERS: RECENT DEVELOPMENT
TABLE 126 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 127 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 128 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 129 HOSPITALS & HEALTHCARE PROVIDERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.3 PATIENTS
9.3.1 INCREASING POPULARITY OF SMARTPHONE APPLICATIONS AND WEARABLES TO DRIVE ADOPTION OF AI AMONG PATIENTS
TABLE 130 PATIENTS: RECENT DEVELOPMENT
TABLE 131 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 132 PATIENTS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 133 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 134 PATIENTS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.4 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES
9.4.1 USE AI FOR DRUG DISCOVERY, PRECISION MEDICINE, AND RESEARCH APPLICATIONS
TABLE 135 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: RECENT DEVELOPMENT
TABLE 136 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 137 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 138 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 139 PHARMACEUTICALS & BIOTECHNOLOGY COMPANIES: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.5 HEALTHCARE PAYERS
9.5.1 USE AI TOOLS TO MANAGE RISKS, IDENTIFY CLAIM TRENDS, AND MAXIMIZE PAYMENT ACCURACY
TABLE 140 HEALTHCARE PAYERS: RECENT DEVELOPMENT
TABLE 141 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 142 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 143 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 144 HEALTHCARE PAYERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
9.6 OTHERS
TABLE 145 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 146 OTHERS: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
TABLE 147 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 148 OTHERS: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
10 ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION
10.1 INTRODUCTION
FIGURE 47 CHINA AND MEXICO TO EMERGE AS NEW HOTSPOTS FOR AI IN HEALTHCARE MARKET
FIGURE 48 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
TABLE 149 AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 150 AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
10.2 NORTH AMERICA
FIGURE 49 NORTH AMERICA: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 50 US TO DOMINATE AI IN HEALTHCARE MARKET IN NORTH AMERICA IN 2028
TABLE 151 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 152 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 153 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 154 NORTH AMERICA: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.2.1 US
10.2.1.1 High healthcare spending combined with increasing demand for AI in medical sector to complement market growth
TABLE 155 US: RECENT DEVELOPMENT
10.2.2 CANADA
10.2.2.1 Continuous research on NLP and ML across research institutions and universities in Canada to propel market
TABLE 156 CANADA: RECENT DEVELOPMENT
10.2.3 MEXICO
10.2.3.1 Mexico to account for smallest share of AI in healthcare market in North America during forecast period
TABLE 157 MEXICO: RECENT DEVELOPMENT
10.3 EUROPE
FIGURE 51 EUROPE: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 52 REST OF EUROPE TO EXHIBIT HIGHEST CAGR IN EUROPEAN AI IN HEALTHCARE MARKET IN 2028
TABLE 158 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 159 EUROPE: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 160 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 161 EUROPE: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 162 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 163 EUROPE: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.3.1 GERMANY
10.3.1.1 Government initiatives to expedite AI development to support market growth
TABLE 164 GERMANY: RECENT DEVELOPMENT
10.3.2 UK
10.3.2.1 Adoption of AI in drug discovery space to fuel market growth
TABLE 165 UK: RECENT DEVELOPMENT
10.3.3 FRANCE
10.3.3.1 Government endeavors to develop healthcare IT in France likely to support market
TABLE 166 FRANCE: RECENT DEVELOPMENT
10.3.4 ITALY
10.3.4.1 Development of electronic health records and aging population to drive market
TABLE 167 ITALY: RECENT DEVELOPMENT
10.3.5 SPAIN
10.3.5.1 Growing awareness of AI in Spain to favor market growth
TABLE 168 SPAIN: RECENT DEVELOPMENT
10.3.6 REST OF EUROPE
10.4 ASIA PACIFIC
FIGURE 53 ASIA PACIFIC: AI IN HEALTHCARE MARKET SNAPSHOT
FIGURE 54 CHINA TO EXHIBIT HIGHEST CAGR IN AI IN HEALTHCARE MARKET ASIA PACIFIC IN 2028
TABLE 169 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
TABLE 170 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
TABLE 171 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 172 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 173 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 174 ASIA PACIFIC: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.4.1 CHINA
10.4.1.1 Concrete government measures to accelerate AI development to augment market growth
TABLE 175 CHINA: RECENT DEVELOPMENT
10.4.2 JAPAN
10.4.2.1 AI adoption to expedite drug discovery to motivate market growth
10.4.3 SOUTH KOREA
10.4.3.1 Government’s AI National Strategy to push market growth in South Korea
TABLE 176 SOUTH KOREA: RECENT DEVELOPMENT
10.4.4 INDIA
10.4.4.1 Developing IT infrastructure and AI-friendly government initiatives to spur market growth
TABLE 177 INDIA: RECENT DEVELOPMENT
10.4.5 REST OF ASIA PACIFIC
TABLE 178 REST OF ASIA PACIFIC: RECENT DEVELOPMENT
10.5 REST OF THE WORLD
FIGURE 55 REST OF THE WORLD: SNAPSHOT OF AI IN HEALTHCARE MARKET
FIGURE 56 SOUTH AMERICA TO DOMINATE MARKET IN ROW IN 2028
TABLE 179 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2019–2022 (USD MILLION)
TABLE 180 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY REGION, 2023–2028 (USD MILLION)
TABLE 181 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2019–2022 (USD MILLION)
TABLE 182 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY END USER, 2023–2028 (USD MILLION)
TABLE 183 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
TABLE 184 REST OF THE WORLD: AI IN HEALTHCARE MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
10.5.1 SOUTH AMERICA
10.5.1.1 High investments in healthcare IT to encourage market growth
10.5.2 MIDDLE EAST AND AFRICA
10.5.2.1 Growing healthcare expenditure in Middle East and North Africa to foster growth of AI in healthcare market
TABLE 185 MIDDLE EAST AND AFRICA: RECENT DEVELOPMENT
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 MARKET EVALUATION FRAMEWORK
TABLE 186 OVERVIEW OF STRATEGIES DEPLOYED BY KEY PLAYERS IN AI IN HEALTHCARE MARKET
11.2.1 PRODUCT PORTFOLIO
11.2.2 REGIONAL FOCUS
11.2.3 MANUFACTURING FOOTPRINT
11.2.4 ORGANIC/INORGANIC GROWTH STRATEGIES
11.3 REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET
FIGURE 57 FIVE-YEAR REVENUE ANALYSIS OF TOP PLAYERS IN AI IN HEALTHCARE MARKET
11.4 MARKET SHARE ANALYSIS, 2022
TABLE 187 AI IN HEALTHCARE MARKET: DEGREE OF COMPETITION
11.5 COMPANY EVALUATION QUADRANT
11.5.1 STARS
11.5.2 PERVASIVE PLAYERS
11.5.3 EMERGING LEADERS
11.5.4 PARTICIPANTS
FIGURE 58 AI IN HEALTHCARE MARKET: COMPANY EVALUATION QUADRANT, 2022
11.6 STARTUP/SME EVALUATION QUADRANT
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
FIGURE 59 AI IN HEALTHCARE MARKET: STARTUP/SME EVALUATION QUADRANT, 2022
11.7 AI IN HEALTHCARE MARKET: COMPANY FOOTPRINT
TABLE 188 COMPANY FOOTPRINT
TABLE 189 COMPANY OFFERING FOOTPRINT
TABLE 190 END-USER FOOTPRINT OF COMPANIES
TABLE 191 REGIONAL FOOTPRINT OF COMPANIES
11.8 COMPETITIVE BENCHMARKING
TABLE 192 STARTUPS/SMES MATRIX: DETAILED LIST OF KEY STARTUPS
TABLE 193 AI IN HEALTHCARE MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
11.9 COMPETITIVE SCENARIOS AND TRENDS
11.9.1 PRODUCT LAUNCHES & DEVELOPMENTS
TABLE 194 AI IN HEALTHCARE MARKET: PRODUCT LAUNCHES & DEVELOPMENTS, JANUARY 2019–DECEMBER 2022
11.9.2 DEALS
TABLE 195 AI IN HEALTHCARE MARKET: DEALS, JANUARY 2019–DECEMBER 2022
12 COMPANY PROFILES
12.1 KEY PLAYERS
(Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View)*
12.1.1 INTEL CORPORATION
TABLE 196 INTEL CORPORATION: BUSINESS OVERVIEW
FIGURE 60 INTEL CORPORATION: COMPANY SNAPSHOT
12.1.2 KONINKLIJKE PHILIPS N.V.
TABLE 197 KONINKLIJKE PHILIPS N.V.: BUSINESS OVERVIEW
FIGURE 61 KONINKLIJKE PHILIPS N.V.: COMPANY SNAPSHOT
12.1.3 MICROSOFT
TABLE 198 MICROSOFT: BUSINESS OVERVIEW
FIGURE 62 MICROSOFT: COMPANY SNAPSHOT
12.1.4 SIEMENS HEALTHINEERS
TABLE 199 SIEMENS HEALTHINEERS: BUSINESS OVERVIEW
FIGURE 63 SIEMENS HEALTHINEERS: COMPANY SNAPSHOT
12.1.5 NVIDIA CORPORATION
TABLE 200 NVIDIA CORPORATION: BUSINESS OVERVIEW
FIGURE 64 NVIDIA CORPORATION: COMPANY SNAPSHOT
12.1.6 GOOGLE INC.
TABLE 201 GOOGLE INC.: BUSINESS OVERVIEW
FIGURE 65 GOOGLE INC.: COMPANY SNAPSHOT
12.1.7 GENERAL ELECTRIC COMPANY
TABLE 202 GENERAL ELECTRIC COMPANY: BUSINESS OVERVIEW
FIGURE 66 GENERAL ELECTRIC COMPANY: COMPANY SNAPSHOT
12.1.8 MEDTRONIC
TABLE 203 MEDTRONIC: BUSINESS OVERVIEW
FIGURE 67 MEDTRONIC: COMPANY SNAPSHOT
12.1.9 MICRON TECHNOLOGY, INC.
TABLE 204 MICRON TECHNOLOGY, INC.: BUSINESS OVERVIEW
FIGURE 68 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
12.1.10 AMAZON WEB SERVICES (AWS)
TABLE 205 AMAZON WEB SERVICES (AWS): BUSINESS OVERVIEW
FIGURE 69 AMAZON WEB SERVICES: COMPANY SNAPSHOT
12.1.11 JOHNSON & JOHNSON SERVICES, INC.
TABLE 206 JOHNSON & JOHNSON SERVICES, INC.: BUSINESS OVERVIEW
FIGURE 70 JOHNSON & JOHNSON SERVICES, INC.: COMPANY SNAPSHOT
* Business Overview, Products/Solutions/Services offered, Recent Developments, and MnM View might not be captured in case of unlisted companies.
12.2 STARTUP ECOSYSTEM
12.2.1 MERATIVE
12.2.2 GENERAL VISION
12.2.3 CLOUDMEDX
12.2.4 ONCORA MEDICAL
12.2.5 ENLITIC
12.2.6 LUNIT INC.
12.2.7 QURE.AI
12.2.8 ARTERYS INC.
12.2.9 COTA
12.2.10 FDNA INC.
12.2.11 RECURSION
12.2.12 ATOMWISE
12.2.13 VIRGIN PULSE
12.2.14 BABYLON HEALTH
12.2.15 MDLIVE (EVERNORTH GROUP)
12.2.16 STRYKER
12.2.17 QVENTUS
12.2.18 DESKTOP GENETICS
12.2.19 SIRONA MEDICAL, INC.
12.2.20 GINGER
12.2.21 BIOBEAT
13 APPENDIX
13.1 INSIGHTS FROM INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 CUSTOMIZATION OPTIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
