GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET FORECAST 2018-2026

Global Artificial Intelligence (AI) 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
  • Increasing adoption of artificial intelligence (AI) in genetics
  • AI creating a real-time monitoring system
  • Healthcare wearables playing an important role in monitoring

Artificial Intelligence in Healthcare Market

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But, the global AI in healthcare market is primarily driven by growing investment by the private firms. According to the World Economic Forum, in the year 2016, around 200 artificial Intelligence based companies collectively invested in AI, collectively investing nearly $1.5 billion globally. Moreover, advancements in IT and big data capabilities along with the surging healthcare expenditure is fueling the market.

Software ruled the offerings segment in terms of revenue in the Global Artificial Intelligence in Healthcare market in 2017. Further, the software market of AI in healthcare is predicted to grow at the highest rate over the forecast period. The software used in AI includes data gathering software, predictive & analytical software, and other softwares that are used to approximate human perception to analyze complex medical data and relationships between treatment or prevention technique and patient outcomes. The software market is primarily driven by high investments of big giants, such as Google Inc, in various startups for AI solution for healthcare.

With increasing adoption of Artificial Intelligence (AI) in Healthcare, newer challenges have been introduced in the market. Difficulties in maintaining the data security, slow adoption of AI-Based technologies, and ambiguous regulatory guidelines for medical software are some major issues that are profoundly pulling back the Artificial Intelligence (AI) in Healthcare market.

The global artificial intelligence in healthcare market has been segmented on the basis of offerings, technology, application and end user. Their further sub-segmentation is as follows:

By Offering:

  • Hardware
  • Software
  • Services

By Technology:

  • Context-aware processing
  • Deep learning
  • Natural language processing
  • Querying method

By Application:

  • Drug discovery
  • Inpatient care & hospital management
  • Lifestyle management & monitoring
  • Medical imaging & diagnostics
  • Patient data & risk analysis
  • Precision medicine
  • Research
  • Virtual assistant
  • Wearables

By End Users:

  • ACOS & MCOS
  • Patients
  • Payers
  • Pharmaceutical & biotechnology companies
  • Providers

On the basis of geography, the global artificial intelligence (AI) in healthcare market has been segmented into four major regions:

North America leads the global artificial intelligence in healthcare market by capturing the largest market share in 2017. The dominance of North America is due to the growing adoption of machine learning in the medical sector, which has consequently increased the growth of AI in healthcare market in countries such as the U.S. and Canada. Furthermore, high investments by the US government in healthcare initiatives that rely on Artificial intelligence such as Cancer Moonshot, and for Precision Medicine Initiative, are expected to boost the AI in healthcare market in this region. On the other hand, the Asia Pacific region is one of the fastest growing regional markets. Increasing healthcare expenditure, high prevalence rate of chronic & infectious diseases resulting in large pool of patients, expanding big data & Internet f Things (IoT) device market, high adoption rate of cloud computing, positive economic outlook, rising internet penetration, and government initiatives supporting the digital growth are factors driving the Asia Pacific artificial intelligence in healthcare market.

The global artificial intelligence in healthcare market has been segmented on the basis of offerings, technology, applications and end users. The offering segment is segmented into software, hardware and services. Further, the technology segment includes context-aware processing, deep learning, natural language processing and querying method as sub-segments. The overall market is also segmented on the basis of applications and end users. The application segment includes drug discovery, inpatient care & hospital management, lifestyle management & monitoring, medical imaging & diagnostics, patient data & risk analysis, precision medicine research, virtual assistant and wearables. Market segment by end-users is divided into ACOS & MCOS, patients, payers, pharmaceutical & biotechnology companies and providers.

The key companies operating in the global artificial intelligence (AI) in healthcare market are:

  • Google Inc.
  • International Business Machines (IBM) Corporation
  • Intel Corporation
  • Microsoft Corporation
  • GE Healthcare
  • others

Company profiles of prominent market players are discussed in detail. Most of the companies look for strategies such as merger & acquisition, partnership, contracts, agreements, and new product launch to gain a competitive edge over each other. In May 2017, GE Healthcare and Partners HealthCare signed a partnership agreement to create applications to advance patient outcomes in diagnostic imaging and productivity. The main objective is to develop new business models for artificial intelligence (AI) in healthcare. In February 2017, Microsoft announced to launch Healthcare NExT, a new initiative to transform health care. It uses intelligent technology to improve the lives of people around the world.

Key findings of the global artificial intelligence (AI) in healthcare market:

  • North America accounts for the largest market share of the overall artificial intelligence (AI) in healthcare
  • China, Japan & India are expected to lead the Asia Pacific region to become the fastest evolving market in the coming years.
  • The market for the Patient Data and Risk Analysis is expected to be a dominant application segment.
  • Inorganic growth is the preferred growth path. Product launch, partnerships and agreements are the primary strategies adopted by market players to gain a competitive edge over each other.
  • Natural Language Processing is commanding the artificial intelligence (AI) in healthcare market in terms of

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

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

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)

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