GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FORECAST 2020-2028

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GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FORECAST 2020-2028

 Global Artificial Intelligence in Healthcare market is anticipated to grow at a CAGR of around 40.03% during the forecast period of 2018-2026. The base year considered for the study is 2017 and the estimated period is between 2018 and 2026. Some of the factors that are driving the market growth are: The rise of big data in the healthcare industry. The emergence of personalized medicine in tests for clinical decision making

GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FORECAST 2020-2028

Global Artificial Intelligence in Healthcare Market by Offerings (Hardware, Software, Services) by Technology (Deep Learning, Querying Method, Natural Language Processing, Context Aware Processing) by End-user (Acos and Mcos, Patients, Payers, Pharmaceutical and Biotechnology Companies, Providers) by Application (Real-time Monitoring, Precision Medicine, Personal Health and Nursing Assistants, Drug Development and Discovery, Robot-assisted Surgery, Administrative Workflow Assistance, Clinical Trials, Diagnostic and Clinical Decision Support, Others) and by Geography.

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The global artificial intelligence in healthcare market is estimated to record growth, registering a CAGR of 38.05%, in terms of revenue, during the year 2020-2028.  The market is anticipated to reach a revenue of about $59426.79 Million by 2028.  The base year considered for the study is 2019. The estimated period is between 2020 and 2028.

The market growth is driven by the following factors:

  • Rise of big data in the healthcare industry
  • Emergence of personalized medicine in tests for clinical decision making
  • Increasing use of AI in genetics
  • AI creating a real-time monitoring system
  • Growth in healthcare wearables

Global Artificial Intelligence in Healthcare Market

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The prominent driver of market growth is the rise of big data in the healthcare industry. Big data technologies are widely used in biomedical and healthcare information, due to a large amount of biological and clinical data, which is generated and collected from different sources, such as laboratories and medical research centers. The healthcare data of patients need to be analyzed using AI to discover novel methods for improving healthcare quality. For instance, new sequencing machines, the development of novel software and hardware for parallel computing, and the application of electronic health records (EHR) are helping in documenting a large amount of patients’ data.

The natural language processing category in the technology segment accounted for the largest share in 2019, contributing about 48.85% of the total market share. Natural language processing technologies are extensively used in machine translation, automatic speech recognition, and dialogue systems. Natural language processing has a large number of healthcare applications, which includes enhanced accuracy of electronic health records, computer-assisted coding, and improvisation of clinical documentation and provides clinical decision support.

The fastest-growing technology is deep learning, recording a CAGR of about 41.48%. Deep learning primarily deals with algorithms based on the function and structure of the brain, which is named as artificial neural networks. Deep learning is widely used for sound recognition, recommender systems, speech recognition, etc. Graphics Processing Unit (GPU) accelerated deep learning solutions are used in several medicinal and healthcare research applications such as predictive analytics for clinical decision-making, real-time pathology assessment, etc.

The key restraints of the market are slow adoption of the AI-based technologies, ambiguous regulatory guidelines for medical software, challenges in maintaining data security, and the lack of usable data in healthcare. The lack of usable data and maintaining data security are the major restraints for the market. Lack of usable data is a great obstacle as the data needed to program the computer is not available. Curated data sets are very important, but are hard to access due to privacy concerns, record identification concerns, etc. While security and privacy issues such as access rights to data, storage, security, while transferring data and data breaches, are the other factors hindering the growth of the market.

The report on the global artificial intelligence in healthcare market includes the segmentation analysis of offerings, technology, end-user, and application.

Market by Offerings:

  • Hardware
  • Software
  • Services

Market by Technology:

  • Context Aware Processing
  • Querying Method
  • Natural Language Processing
  • Deep Learning

Market by End-User:

  • ACOS and MCOS
  • Patients
  • Payers
  • Pharmaceutical and Biotechnology Companies
  • Providers

Market by Application:

  • Real-Time Monitoring
  • Administrative Workflow Assistance
  • Personal Health and Nursing Assistants
  • Drug Development and discovery
  • Robot-Assisted Surgery
  • Precision Medicine
  • Clinical Trials
  • Diagnostic and Clinical Decision Support
  • Others

Geographically, the global artificial intelligence in healthcare market has been segmented on the basis of four major regions, which includes:

  • North America: the United States & Canada
  • Europe: the United Kingdom, Germany, France, Italy, Russia, Belgium, Poland, and Rest of Europe
  • Asia Pacific: China, Japan, India, South Korea, Indonesia, Thailand, Vietnam, Australia & New Zealand, and Rest of Asia Pacific
  • Rest of World: Latin America, the Middle East & Africa

Geographically, North America dominated the global artificial intelligence in healthcare market in 2019, capturing a market share of 54.42%. The dominant aspect of the market is accredited to the increasing adoption of machine learning in the medical sector. Consequently, it has driven the growth of AI in the healthcare market in countries like the United States and Canada. There have been investments made by the US government in the healthcare initiatives, such as Cancer Moonshot and Precision Medicine Initiative, depend on artificial intelligence, and are thereby expected to boost the AI in healthcare market growth in this region.

Asia Pacific is anticipated to be the fastest-growing region during the forecast period, growing with an anticipated CAGR of 41.05%. The Asia Pacific artificial intelligence in healthcare market growth is mainly driven by countries such as China, Japan, India, Australia, and the rest of the Asia Pacific region, which includes Singapore and Malaysia. The investments from the governments and private organizations, and the setting up of new startups are important drivers of the Asia Pacific market.

The major market players in the global artificial intelligence in healthcare market include:

  • Enlitic Inc
  • GE Healthcare
  • Recursion
  • Microsoft Corporation
  • Next IT Corporation
  • Welltok

Company Profiles covers the analysis of important players. These companies are using organic and inorganic strategies for growth. For instance, in January 2020, Deep Genomics got a $40 million Series B round funding from by Future Ventures. GE healthcare launched the Edison Developer Program, which helps in the adoption of artificial intelligence in healthcare. In June 2019, General Vision introduced NeuroMem Knowledge Builder (NMKB) version 4.0.

Key findings of the global artificial intelligence in healthcare market are:

  • There is increasing investment in the artificial intelligence market.
  • Deep learning has huge demand in artificial intelligence in healthcare market.
  • The healthcare worker to patient ratio is being balanced with AI.
  • There is increasing use of artificial intelligence in innovative surgeries.
  1. RESEARCH SCOPE & METHODOLOGY
    • STUDY OBJECTIVES
    • SCOPE OF STUDY
    • METHODOLOGY
    • ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    • MARKET SIZE & ESTIMATES
    • MARKET OVERVIEW
  3. MARKET DYNAMICS
    • DEVELOPMENT OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE
    • MARKET DEFINITION
    •    KEY DRIVERS
      • RISE OF BIG DATA IN HEALTHCARE INDUSTRY
      • EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION MAKING
      • INCREASING USE OF AI IN GENETICS
      • AI CREATING A REAL-TIME MONITORING SYSTEM
      • HEALTHCARE WEARABLES PLAYING AN IMPORTANT ROLE IN MONITORING
    •    KEY RESTRAINTS
      • SLOW ADOPTION OF AI BASED TECHNOLOGIES
      • AMBIGUOUS REGULATORY GUIDELINES FOR MEDICAL SOFTWARE
      • CHALLENGE TO MAINTAIN DATA SECURITY
      • LACK OF USABLE DATA IN HEALTHCARE
  1. KEY ANALYTICS
    • KEY INVESTMENT INSIGHTS
    •    PORTER’S FIVE FORCE ANALYSIS
      • BUYER POWER
      • SUPPLIER POWER
      • SUBSTITUTION
      • NEW ENTRANTS
      • INDUSTRY RIVALRY
    • OPPORTUNITY MATRIX
    • VENDOR LANDSCAPE
    •    VALUE CHAIN ANALYSIS
      • DATA WAREHOUSE
      • ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
      • SOFTWARE DEVELOPMENT
    •    KEY BUYING CRITERIA
      • APPLICATION
      • TECHNOLOGY
      • INTEGRATION WITH EXISTING INFRASTRUCTURE
    • REGULATORY FRAMEWORK
  2. MARKET BY OFFERINGS
    • HARDWARE
    • SOFTWARE
    • SERVICES
  3. MARKET BY TECHNOLOGY
    • DEEP LEARNING
    • QUERYING METHOD
    • NATURAL LANGUAGE PROCESSING
    • CONTEXT AWARE PROCESSING
  4. MARKET BY END-USER
    • ACOS AND MCOS
    • PATIENTS
    • PAYERS
    • PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
    • PROVIDERS
  5. MARKET BY APPLICATION
    • REAL-TIME MONITORING
    • PRECISION MEDICINE
    • PERSONAL HEALTH AND NURSING ASSISTANTS
    • DRUG DEVELOPMENT AND DISCOVERY
    • ROBOT-ASSISTED SURGERY
    • ADMINISTRATIVE WORKFLOW ASSISTANCE
    • CLINICAL TRIALS
    • DIAGNOSTIC AND CLINICAL DECISION SUPPORT
    • OTHERS
  6. GEOGRAPHICAL ANALYSIS
    •    NORTH AMERICA
      • UNITED STATES
      • CANADA
    •    EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • ITALY
      • RUSSIA
      • BELGIUM
      • POLAND
      • REST OF EUROPE
    •    ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • INDONESIA
      • THAILAND
      • VIETNAM
      • AUSTRALIA & NEW ZEALAND
      • REST OF ASIA PACIFIC
    •    REST OF WORLD
      • LATIN AMERICA
      • MIDDLE EAST & AFRICA
  1. COMPANY PROFILES
    • DEEP GENOMICS INC
    • ENLITIC INC
    • GE HEALTHCARE
    • GENERAL VISION INC
    • GOOGLE
    • IBM CORPORATION
    • ICARBONX
    • INTEL CORPORATION
    • MICROSOFT CORPORATION
    • NEXT IT CORPORATION
    • NVIDIA CORPORATION
    • ONCORA MEDICAL
    • RECURSION PHARMACEUTICALS INC
    • STRYKER CORPORATION
    • WELLTOK INC

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – ARTIFICIAL INTELLIGENCE IN HEALTHCARE

TABLE 2: REGULATORY FRAMEWORK

TABLE 3: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERINGS, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 4: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OFFERINGS, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 5: GLOBAL HARDWARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 6: GLOBAL HARDWARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 7: GLOBAL SOFTWARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 8: GLOBAL SOFTWARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 9: GLOBAL SERVICES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 10: GLOBAL SERVICES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 11: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 12: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 13: GLOBAL DEEP LEARNING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 14: GLOBAL DEEP LEARNING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 15: GLOBAL QUERYING METHOD MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 16: GLOBAL QUERYING METHOD MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 17: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 18: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 19: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 20: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 21: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 22: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 23: GLOBAL ACOS AND MCOS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 24: GLOBAL ACOS AND MCOS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 25: GLOBAL PATIENTS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 26: GLOBAL PATIENTS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 27: GLOBAL PAYERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 28: GLOBAL PAYERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 29: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 30: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 31: GLOBAL PROVIDERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 32: GLOBAL PROVIDERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 33: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 34: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 35: GLOBAL REAL-TIME MONITORING MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 36: GLOBAL REAL-TIME MONITORING MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 37: GLOBAL PRECISION MEDICINE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 38: GLOBAL PRECISION MEDICINE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 39: GLOBAL PERSONAL HEALTH AND NURSING ASSISTANTS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 40: GLOBAL PERSONAL HEALTH AND NURSING ASSISTANTS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 41: GLOBAL DRUG DEVELOPMENT AND DISCOVERY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 42: GLOBAL DRUG DEVELOPMENT AND DISCOVERY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 43: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 44: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 45: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 46: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 47: GLOBAL CLINICAL TRIALS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 48: GLOBAL CLINICAL TRIALS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 49: GLOBAL DIAGNOSTIC AND CLINICAL DECISION SUPPORT MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 50: GLOBAL DIAGNOSTIC AND CLINICAL DECISION SUPPORT MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 51: GLOBAL OTHERS MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 52: GLOBAL OTHERS MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 53: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 54: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY GEOGRAPHY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 55: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 56: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 57: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 58: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 59: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 60: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 61: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 62: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REGION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

LIST OF FIGURES

FIGURE 1: TIMELINE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE

FIGURE 2: WORLDWIDE INTERNET USAGE IN MILLIONS & PER 100 INHABITANTS (2001-2019)

FIGURE 3: WORLDWIDE HEALTHCARE IOT DEVICE INSTALLATIONS

FIGURE 4: KEY INVESTMENT INSIGHTS

FIGURE 5: PORTER’S FIVE FORCE ANALYSIS

FIGURE 6: OPPORTUNITY MATRIX

FIGURE 7: VENDOR LANDSCAPE

FIGURE 8: VALUE CHAIN ANALYSIS OF AI IN HEALTHCARE MARKET

FIGURE 9: KEY BUYING CRITERIA

FIGURE 10: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERINGS, IN 2019

FIGURE 11: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY HARDWARE, 2020-2028 (IN $ MILLION)

FIGURE 12: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY SOFTWARE, 2020-2028 (IN $ MILLION)

FIGURE 13: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY SERVICES, 2020-2028 (IN $ MILLION)

FIGURE 14: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY TECHNOLOGY, IN 2019

FIGURE 15: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DEEP LEARNING, 2020-2028 (IN $ MILLION)

FIGURE 16: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY QUERYING METHOD, 2020-2028 (IN $ MILLION)

FIGURE 17: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2020-2028 (IN $ MILLION)

FIGURE 18: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2020-2028 (IN $ MILLION)

FIGURE 19: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019

FIGURE 20: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2020-2028 (IN $ MILLION)

FIGURE 21: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PATIENTS, 2020-2028 (IN $ MILLION)

FIGURE 22: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PAYERS, 2020-2028 (IN $ MILLION)

FIGURE 23: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2020-2028 (IN $ MILLION)

FIGURE 24: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PROVIDERS, 2020-2028 (IN $ MILLION)

FIGURE 25: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2019

FIGURE 26: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY REAL-TIME MONITORING, 2020-2028 (IN $ MILLION)

FIGURE 27: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PRECISION MEDICINE, 2020-2028 (IN $ MILLION)

FIGURE 28: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY PERSONAL HEALTH AND NURSING ASSISTANTS, 2020-2028 (IN $ MILLION)

FIGURE 29: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DRUG DEVELOPMENT AND DISCOVERY, 2020-2028 (IN $ MILLION)

FIGURE 30: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2020-2028 (IN $ MILLION)

FIGURE 31: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2020-2028 (IN $ MILLION)

FIGURE 32: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY CLINICAL TRIALS, 2020-2028 (IN $ MILLION)

FIGURE 33: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY DIAGNOSTIC AND CLINICAL DECISION SUPPORT, 2020-2028 (IN $ MILLION)

FIGURE 34: GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, BY OTHERS, 2020-2028 (IN $ MILLION)

FIGURE 35: NORTH AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)

FIGURE 36: UNITED STATES ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 37: CANADA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 38: EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)

FIGURE 39: UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 40: GERMANY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 41: FRANCE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 42: ITALY ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 43: RUSSIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 44: BELGIUM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 45: POLAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 46: REST OF EUROPE ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 47: ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)

FIGURE 48: CHINA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 49: JAPAN ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 50: INDIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 51: SOUTH KOREA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 52: INDONESIA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 53: THAILAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 54: VIETNAM ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 55: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 56: REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION

FIGURE 57: REST OF WORLD ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)

FIGURE 58: LATIN AMERICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 59: MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET, 2020-2028 (IN $ MILLION)

  1. MARKET BY OFFERINGS
    • HARDWARE
    • SOFTWARE
    • SERVICES
  2. MARKET BY TECHNOLOGY
    • DEEP LEARNING
    • QUERYING METHOD
    • NATURAL LANGUAGE PROCESSING
    • CONTEXT AWARE PROCESSING
  3. MARKET BY END-USER
    • ACOS AND MCOS
    • PATIENTS
    • PAYERS
    • PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
    • PROVIDERS
  4. MARKET BY APPLICATION
    • REAL-TIME MONITORING
    • PRECISION MEDICINE
    • PERSONAL HEALTH AND NURSING ASSISTANTS
    • DRUG DEVELOPMENT AND DISCOVERY
    • ROBOT-ASSISTED SURGERY
    • ADMINISTRATIVE WORKFLOW ASSISTANCE
    • CLINICAL TRIALS
    • DIAGNOSTIC AND CLINICAL DECISION SUPPORT
    • OTHERS
  5. GEOGRAPHICAL ANALYSIS
    •    NORTH AMERICA
      • UNITED STATES
      • CANADA
    •    EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • ITALY
      • RUSSIA
      • BELGIUM
      • POLAND
      • REST OF EUROPE
    •    ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • INDONESIA
      • THAILAND
      • VIETNAM
      • AUSTRALIA & NEW ZEALAND
      • REST OF ASIA PACIFIC
    •    REST OF WORLD
      • LATIN AMERICA
      • MIDDLE EAST & AFRICA

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