Artificial Intelligence in Healthcare Market

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

Report Code: SE 5225 Jan, 2023, by marketsandmarkets.com

[300 Pages Report] 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.

Rising need for improvised healthcare services due to the disparity between patients and the healthcare workforce will drive the AI in Healthcare market growth in coming years. Increasing efforts to reduce healthcare costs and the generation of large and complex healthcare datasets have allowed the development of AI in Healthcare, further strengthening the market growth. Integrating AI technology in healthcare operations enhances data-driven support to medical professionals. Using data and algorithms, AI efficiently identifies the pattern and delivers automated insights for applications such as managing medical records, health monitoring, digital consultation, and treatment design.

The objective of the report is to define, describe, and forecast the AI in Healthcare market based on offering, technology, application, end user, and region.

Artificial Intelligence in Healthcare Market

Artificial Intelligence in Healthcare Market Forecast to 2028

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AI in Healthcare Market Dynamics

Drivers: Generation of large and complex healthcare datasets

In the healthcare industry, large and complex data, often called big data, comprises information generated from clickstream and web & social media interactions; readings from medical devices, such as sensors, electrocardiogram (ECGs), X-rays, and pulse oximeters; healthcare claims and other billing records; and Electronic medical records (EMRs), prescriptions, and biometric data, among other sources. Big data and emerging analytical solutions have grown exponentially in sophistication and adoption in the last decade as healthcare providers turned to Electronic Health Records (EHRs), digitized laboratory slides, and high-resolution radiology images. With the increasing digitization and the adoption of information systems in the healthcare industry, big data is generated at various stages of the care delivery process. As a result, healthcare is one of the top five big data industries, especially in the US. Increasing government initiatives to accelerate AI innovations in healthcare will further boost the market growth in the US. In June 2021, the National Science Foundation (NSF) and White House Office of Science and Technology Policy (OSTP) announced the establishment of the National Artificial Intelligence (AI) Research Resource Task Force, which will work on the roadmap of the expansion of educational tools and critical resources that will spur AI innovation nationwide.

Restraints: Lack of skilled AI workforce and ambiguous regulatory guidelines for e-medical software

AI is a complex system, and for developing, managing, and implementing AI systems, companies require a workforce with specific skill sets. For instance, personnel dealing with AI systems should be aware of technologies such as cognitive computing, ML and machine intelligence, deep learning, and image recognition. In addition, integrating AI solutions into existing systems is a challenging task requiring extensive data processing for replicating human brain behavior. Even a minor error can result in system failure or can adversely affect the desired result. Furthermore, the absence of professional standards and certifications in AI/ML technologies is restraining the growth of AI. Additionally, AI service providers are facing challenges regarding deploying/servicing their solutions at their customer sites. This is because of the lack of technology awareness and fewer AI experts.

Opportunities: Growing potential for AI based tools for elderly care

With the growth in the geriatric population, the incidence of various age-related diseases is expected to increase worldwide. To counter this and efficiently handle the growing burden on their respective healthcare systems, governments in several countries are increasingly focusing on adopting novel technologies. AI is one such technology that provides enhanced services, such as real-time patient data collection and monitoring for emergency care, as well as offers preventive healthcare recommendations. Moreover, AI-based tools can use health and wellness services, such as mobile applications, to monitor the movement and activities of ss. Also, the efficient implementation of in-home health monitoring and health information access, personalized health management, and the use of treatment devices (such as better hearing aids and visual assistive devices) and physical assistive devices (such as intelligent walkers) are possible with the implementation of AI-based tools. Thus, there is a growing interest in the use of AI-based technologies to support the physical, emotional, social, and mental health of the elderly across the world.

Challenges: Lack of curated healthcare data

The performance of AI algorithms majorly depends on the quality and availability of data. Therefore, limited access to data in healthcare acts as a barrier for the AI in Healthcare market. As medical data is more often difficult to access and collect, medical professionals do not prefer the data collection process as it might interrupt their workflow. Thereby, the collection of data is often incomplete. Electronic healthcare record (EHR) systems are mostly incompatible with government-certified providers offering their services to various healthcare facilities and hospitals. Therefore, it results in the collection of data that is localized instead of integrating patients’ medical history across healthcare providers. Without high-quality and large data sets, it isn't easy to build useful AI algorithms.

Services to witness highest demand in the AI in Healthcare market

AI is a complex method as it requires the implementation of sophisticated algorithms for a wide range of applications in patient data and risk analysis, lifestyle management and monitoring, precision medicine, in-patient care and hospital management, medical imaging and diagnostics, drug discovery, and virtual assistants, among others. Hence, for the successful deployment of AI, there is a need for deployment and integration, and support and maintenance services. Most companies that manufacture and develop AI systems and software provide both online and offline support, depending on the applications. The companies operating in the AI services in Healthcare market include Microsoft (US), Johnson & Johnson Services, Inc. (US), Medtronic (US), Siemens Healthineers (Germany), and Koninklijke Philips (Netherlands). These companies offer assistance for the installation, training, and support of AI systems, along with online assistance and post-maintenance of software, and provide required services.

Medical Imaging & diagnostics segment to create lucrative growth opportunities in AI in Healthcare Market during the forecast period

Multiple leading technology players and healthcare companies are developing AI solutions for applications in healthcare. Philips Healthcare (Netherlands), Agfa-Gevaert (Belgium), GE Company (US), and Siemens Healthineers (Germany) have started integrating AI into their medical imaging software systems. For instance, in collaboration with NVIDIA Corporation, GE has 500,000 imaging devices in use worldwide. These devices use AI to speed up the process of analyzing CT scans with improved accuracy. Siemens Healthineers’ AI Rad Companion Chest CT is a software assistant that uses AI for CT. The software measures and identifies organs and lesions in thorax CT scans, and automatically generates a quantitative report to help increase the efficiency and correct diagnosis in radiology. Higher automation, increased productivity, standardized processes, and more accurate diagnosis can be achieved by integrating AI in traditional medical imaging methods. The computational capabilities can process images with greater speed and accuracy at scale.

Hospitals & Healthcare Providers to cater majority of the share in AI in Healthcare Market

In care provider settings, AI can be utilized to predict and prevent readmissions, manage chronic diseases, drive clinical decision support tools, and improve operations. AI-based tools, such as voice recognition software and clinical decision support systems, help streamline workflow processes in hospitals, lower cost, improve care delivery, and enhance the patient experience. Clinical decision support systems (CDSS) were one of the first successful applications of AI, focusing primarily on the diagnosis of a patient's condition based on symptoms and demographic information. Hospitals in the US and Europe have begun using AI to assist hospitalized patients. These tools enable patients to request periodic check-ups on the status of their recovery. There is a significant increase in the adoption of technologies, especially Electronic Medical Records (EMR) systems, by healthcare organizations, thus generating ample patient data.

AI in Healthcare market to witness the highest demand in North American region

The US is considered one of the major contributors to the North American market as it is one of the leading countries in the world to imbibe AI technology across its healthcare system. Cross-industry participation in the healthcare domain, along with a significant increase in venture capital investments, is encouraging several new players to enter the AI in Healthcare market in the region. For instance, in October 2021, Navina (US) a startup company developing AI-driven platform for primary care, secured USD 15 million in its series A funding round. To date, the company has raised USD 22 million. These investments help the company to accelerate its development in AI and ML technology.

Artificial Intelligence in Healthcare Market by Region

Artificial Intelligence in Healthcare Market by Region

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Key Market Players

Major vendors in the AI in Healthcare market include Intel Corporation (US), Koninklijke Philips N.V., (Netherlands), Microsoft (US), Siemens Healthineers (Germany), and NVIDIA Corporation (US) among others.

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Scope of the Report

Report Metric

Details

Market size available for years

2019—2028

Base year

2022

Forecast period

2023—2028

Units

Value (USD Million/USD Billion), Volume (Million Units)

Segments covered

Offering, Technology, Application, End User, and Geography

Geographic regions covered

North America, Europe, APAC, and RoW

Companies covered

Intel Corporation (US), Koninklijke Philips N.V. (Netherlands), Microsoft (US), Siemens Healthineers (Germany), NVIDIA Corporation (US), Google Inc.  (US), General Electric Company (US), Medtronic (US), Micron Technology, Inc. (US), Amazon Web Services (AWS) (US), Johnson & Johnson Services, Inc. (US) are the major players in the market.
A total of 32 players are profiled in the report.

Artificial Intelligence in Healthcare Market Highlights

This report categorizes the AI in Healthcare market based on offering, technology, application, end user, and geography.

Segment

Subsegment

AI in Healthcarer Market, by Offering:

  • Hardware
    • Processor
      • MPU
      • GPU
      • FPGA
      • ASIC
    • Memory
    • Network
      • Adapter
      • Switch
      • Interconnect
  • Software
    • AI Platform
      • Application Program Interface (API)
      • Machine learning Framework
    • AI Solution
      • On-Premise
      • Cloud
  • Services
    • Deployment and Integration
    • Support & Maintenance

AI in Healthcare Market, by Technology:

  • Machine Learning
    • Deep Learning
    • Supervised
    • Unsupervised
    • Reinforcement Learning
    • Others
  • Natural Language Processing
    • IVR
    • OCR
    • Pattern and Image Recognition
    • Auto Coding
    • Classification and Categorization
    • Text Analytics
    • Speech Analytics
  • Context–aware Computing
    • Device Context
    • User Context
    • Physical Context
  • Computer Vision

AI in Healthcare Market, by Application:

  • Patient Data & Risk Analysis
  • Medical Imaging & Diagnostics
  • Precision Medicine
  • Drug Discovery
  • Lifestyle Management & Monitoring
  • Virtual Assitant
  • Wearables
  • In-patient Care & Hospital Management
  • Research
  • Emergenecy Room & Surgery
  • Mental Health
  • Healthcare Assistance Robots
  • Cybersecurity

AI in Healthcare Market, by End User:

  • Hospitals & healthcare providers
  • Healthcare Payers
  • Pharmaceuticals & Biotechnology Companies
  • Patients
  • Others

AI in Healthcare Market, by Region:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Rest of APAC
  • RoW
    • Middle East & Africa
    • South America

Recent Developments

  • In December 2022, Amazon Web Services, Inc. announced its Strategic Collaboration Agreement (SCA) with Slalom, LLC to develop vertical solutions and accelerators on AWS for their customers in healthcare, life sciences, financial services, energy, and media and entertainment industries.
  • In November 2022, GE Healthcare at Radiological Society of North America’s (RSNA) 2021 Annual Meeting unveiled its 60 innovative technology solutions for diagnostics, patient screening, guidance, therapy planning, and monitoring. With this, the company has accelerated its healthcare innovation with artificial intelligence (AI) and digital solutions.
  • In November 2022, Google Inc. announced its partnership with iCAD, which operates in mammography artificial intelligence (AI). Through this partnership, the company will integrate its AI technology into iCAD’s breast imaging AI solutions portfolio. This strategic initiative will help the company advance its innovation and expand mammography technology through cloud-based solutions.
  • In October 2022, Google Inc announced the launch of its new Medical Imaging Suite, which helps in the accessibility and interoperability of radiology and other imaging data. It is designed to offer flexible options for cloud on-prem or edge deployment, which allows the organizations to achieve diverse sovereignty, privacy requirements, and data security

Frequently Asked Questions (FAQs):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 36)
    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 (Page No. - 42)
    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 (Page No. - 57)
    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 (Page No. - 63)
    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 (Page No. - 66)
    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 (Page No. - 98)
    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   (Page No. - 118)                
    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 (Page No. - 129)
    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 (Page No. - 160)
    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 (Page No. - 176)
     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 (Page No. - 211)
     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 (Page No. - 228)
     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 (Page No. - 292)
     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 

The research process for this study included the systematic gathering, recording, and analysis of data about customers and companies operating in the AI in Healthcare market. This research study involved the extensive use of secondary sources, directories, and databases (Hoovers, Bloomberg BusinessWeek, Factiva, and OneSource) for identifying and collecting information useful for this extensive technical, market-oriented, and commercial study of AI in Healthcare market. In-depth interviews have been conducted with various primary respondents, including experts from core and related industries and preferred manufacturers, to obtain and verify critical qualitative and quantitative information, as well as to assess growth prospects. Key players in the AI in Healthcare market have been identified through secondary research, and their market rankings have been determined through primary and secondary research. This research included studying annual reports of top players and interviewing key industry experts, such as CEOs, directors, and marketing executives.

Secondary Research

In secondary research, various sources have been referred to for identifying and collecting information important for this study. Secondary sources included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers, AI in healthcare products-related journals, and certified publications; articles by recognized authors; directories; and databases.

Primary Research

Extensive primary research was conducted after understanding and analyzing the AI in Healthcare market through secondary research. Several primary interviews were conducted with key opinion leaders from both the demand- and supply-side vendors across four major regions—North America, Europe, APAC, and RoW. RoW comprises the Middle East, Africa, and South America. Approximately 25% of the primary interviews were conducted with the demand-side vendors and 75% with the supply-side vendors. This primary data was mainly collected through telephonic interviews/web conferences, which consist of 80% of total primary interviews, as well as questionnaires and e-mails.

Artificial Intelligence in Healthcare Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches have been used, along with several data triangulation methods, to estimate and forecast the size of the market and its segments and subsegments listed in the report. Extensive qualitative and quantitative analyses have been carried out on the complete market engineering process to list the key information/insights pertaining to AI in Healthcare market.

The key players in the market have been identified through secondary research, and their rankings in the respective regions have been determined through primary and secondary research. This entire procedure involved the study of the annual and financial reports of top players, as well as interviews with industry experts such as chief executive officers, vice presidents, directors, and marketing executives for both quantitative and qualitative key insights. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources. All parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to obtain the final quantitative and qualitative data. This data has been consolidated and enhanced with detailed inputs and analysis from MarketsandMarkets and presented in this report.

AI in Healthcare Market: Bottom-Up Approach

Artificial Intelligence in Healthcare Market Size, and Bottom-Up Approach

Data Triangulation

After arriving at the overall market size from the market size estimation process explained earlier, the total market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments, data triangulation and market breakdown procedures have been employed, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. Along with this, the AI in healthcare market has been validated using both top-down and bottom-up approaches.

Report Objectives

  • To describe and forecast the artificial intelligence (AI) in Healthcare market, in terms of value, by offering, technology, application, and end user
  • To describe and forecast the AI in Healthcare market, in terms of value, for four main regions— North America, Europe, Asia Pacific, and the Rest of the World (RoW)
  • To provide detailed information regarding drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To strategically analyze micromarkets1 with respect to individual growth trends, prospects, and contributions to the total market
  • To provide a comprehensive overview of the value chain of the AI in Healthcare market ecosystem
  • To provide a detailed impact of the recession on the AI in Healthcare market, its segments, and the market players
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments of the AI in Healthcare ecosystem
  • To profile key players and comprehensively analyze their market position in terms of ranking and core competencies2, and provide a detailed competitive landscape of the market
  • To analyze the competitive developments, such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and research and development (R&D), in the AI in Healthcare market

Available Customizations

With the given market data, MarketsandMarkets offers customizations according to the specific requirements of companies. The following customization options are available for the report:

Product Analysis

  • Detailed analysis and profiling of additional market players
Report Code
SE 5225
Published ON
Jan, 2023
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