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GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET FORECAST 2024-2032

SCOPE OF THE REPORT

Global Artificial Intelligence (AI) in Healthcare Market by Offering (Software, Services, Hardware) Market by Technology (Natural Language Processing, Querying Method, Context Aware Processing, Deep Learning) Market by End-user (Healthcare Providers, Pharmaceutical and Biotechnology Companies, Payers, Acos and Mcos, Patients) Market by Application (Robot-assisted Surgery, Virtual Nursing Assistant, Administrative Workflow Assistance, Fraud Detection, Dosage Error Reduction, Clinical Trial Participant Identifier, Preliminary Diagnosis, Other Applications) by Geography

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MARKET OVERVIEW

The global artificial intelligence (AI) in healthcare market was valued at $20293.75 million in 2023 and is expected to reach $336054.46 million by 2032, growing at a CAGR of 36.28% during the forecast period. The base year considered for the study is 2023, and the estimated period is between 2024 and 2032.

Artificial intelligence (AI) in healthcare refers to the use of computers and machine processes to simulate human intelligence and perform complex automated tasks. Integrating AI into healthcare systems is revolutionizing the medical field, showcasing its diverse applications in enhancing patient care and optimizing administrative functions. The extensive range of AI applications underlines its vast potential in healthcare.

However, it is essential to recognize accompanying risks, including concerns about data privacy and the potential for misdiagnoses. Despite these challenges, the substantial benefits of AI, including enhanced diagnostic accuracy and the creation of personalized treatment plans, are significant.

In addition to this, deciding to implement AI in healthcare is a complex process, requiring a delicate balance between potential benefits and ethical, safety considerations. The probability of AI entirely replacing healthcare professionals is minimal. Moreover, AI will rebuild its roles, emphasizing the crucial need for ongoing training and education in this rapidly evolving field.

Artificial Intelligence (AI) In Healthcare Market

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GROWTH ENABLERS

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

  • Large volumes of healthcare data supporting the adoption of AI
  • Investments towards AI research & development coupled with proactive government support
  • Growing number of AI and machine learning start-ups
  • Emergence of personalized medicine in tests for clinical decision-making
  • AI creating a real-time monitoring system
    • The escalating demand for real-time health monitoring systems stands as a fundamental driver for market growth. Devices optimized for instantaneous health trackings, such as health trackers or tools that capture patients’ health data in real-time, are significantly contributing to the increasing adoption of AI in the healthcare sphere.
    • Additionally, by integrating AI into these monitoring devices, the interpretation of data becomes more accurate, cutting down significantly on the time users or patients need to spend sorting through data outputs.

GROWTH RESTRAINTS

Key growth restraining factors of the global artificial intelligence (AI) in healthcare market:

  • Slow adoption of AI-based technologies
  • Challenges in maintaining data security
  • Cost constraints and low return on investment (ROI)
    • Artificial intelligence (AI) is emerging as a transformative force in the healthcare and life sciences sphere, positioning it as a primary target for substantial investments in the upcoming years. Numerous organizations are eager to use its potential, anticipating significant advancements. Amid the projected growth in AI applications, venturing into AI during the startup phase sets distinct challenges and risks that companies must navigate for successful development.

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KEY MARKET TRENDS

Global Artificial Intelligence (AI) in Healthcare Market | Top Market Trends

  • AI is finding applications across diverse healthcare domains. These applications span medical imaging, robotic surgery, administrative tasks, error reduction in dosage, cancer detection, population health management, pharmaceuticals, genomics, health coaching, clinical trials, and early diagnosis. Additionally, it extends to wearable health technology, pain and vital signs analysis, telemedicine, fraud detection, precision medicine, drug development, clinical decision support, real-time monitoring systems, and integration with medical devices, among other areas.
  • A prominent trend involves the integration of AI in drug discovery, where pharmaceutical companies make substantial investments to enhance disease target identification, screen compounds, design new drugs, and predict their efficacy and safety. Eminent tech companies such as Microsoft and IBM are channeling investments into AI for drug design and pharmacology.
  • In genomics, AI is playing a vital role due to the increasing amount of genetic data available and advancements in machine learning. AI enhances precision medicine by analyzing complex genetic, behavioral, physiological, and lifestyle data in real time, leading to more accurate predictions about an individual’s health.

MARKET SEGMENTATION

Market Segmentation – Offering, Technology, End-User, and Application –

Market by Offering:

  • Software
    • In 2023, the software segment dominated the offering category.
    • Software refers to a program and additional operational data utilized by an AI platform, encompassing both data and instructions. Artificial intelligence software, as a program, facilitates the implementation of intelligent behavior in computers. 
    • For example, deep learning software replicates the processes taking place in layers of neurons within the neocortex.
  • Services
  • Hardware

Market by Technology:

  • Natural Language Processing
  • Querying Method
    • The querying method in artificial intelligence (AI) in healthcare entails the targeted search for specific information within expansive medical datasets. This approach is particularly employed in AI applications for precision medicine, where the thorough analysis of large and intricate medical data sets allows for the delivery of individualized medical care.
  • Context Aware Processing
  • Deep Learning

Market by End-User:

  • Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Payers
    • A payer in artificial intelligence (AI) in healthcare commonly refers to entities, excluding the patient, that bear the financial responsibility for health service costs. This is often associated with insurance carriers, alternative third-party payers, or sponsors of health plans.
    • Additionally, payers in AI assist in data handling, data management, data processing, and query management. In addition, they help in cost reduction by diminishing the burden of staffing and management authorities.
  • ACOS and MCOS
  • Patients

Market by Application:

  • Robot-Assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
    • Fraud management demands a wealth of knowledge and expertise. In this domain, AI techniques, particularly machine learning, are essential in autonomously identifying fraud by discerning its distinct characteristics. 
    • Utilizing neural networks, for instance, allows the system to learn and detect suspicious patterns from data samples, thereby strengthening the capability to identify and prevent fraudulent activities.
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Other Applications

GEOGRAPHICAL STUDY

Geographical Study based on Four Major Regions: 

  • North America: The United States and Canada
  • Europe: The United Kingdom, Germany, France, Italy, Spain, Belgium, Poland, and Rest of Europe
  • Asia-Pacific: China, Japan, India, South Korea, Australia & New Zealand, Indonesia, Thailand, Vietnam, and Rest of Asia-Pacific 
    • Asia-Pacific is anticipated to be the fastest-growing region over the forecast period.  
    • The artificial intelligence (AI) in healthcare market in the Asia-Pacific is experiencing sustained growth, propelled by significant investments from both governments and private organizations. The emergence of new startups further contributes to the vitality of the market, escalating its position as a key driver globally.
    • Moreover, the continual development of new technologies in the field of artificial intelligence within healthcare serves as an additional accelerant, providing essential support to the growth course of the Asia-Pacific.
  • Rest of World: Latin America, the Middle East & Africa

MAJOR PLAYERS

Major players in the global artificial intelligence (AI) in healthcare market:

  • GE HealthCare
  • Google
  • IBM Corporation
  • Intel Corporation
  • Koninklijke Philips NV
  • Medtronic Plc
  • Microsoft Corporation
  • NVIDIA Corporation
  • Stryker Corporation
  • Siemens Healthineers

Key strategies adopted by some of these companies:

  • Google, in December 2023, announced the launch of MedLM, a suite of foundational models specifically designed to assist healthcare organizations in meeting their needs through generative artificial intelligence (AI).
  • GE Healthcare, in October 2023, entered into a significant agreement, securing a $44 million contract with the Biomedical Advanced Research and Development Authority (BARDA). This partnership is dedicated to advancing the development of AI-enabled point-of-care ultrasound technology, with the specific objective of aiding clinicians in the diagnosis and treatment of lung pathologies, along with traumatic injuries to the head, chest, and abdomen.

REPORT SYNOPSIS

REPORT SCOPEDETAILS
Market Forecast Years2024-2032
Base Year2023
Market Historical Years2018-2022
Forecast Units

Revenue ($ Million)

Segments AnalyzedOffering, Technology, End-User, and Application
Geographies AnalyzedNorth America, Europe, Asia-Pacific, and Rest of World
Companies AnalyzedDeep Genomics Inc, Enlitic Inc, GE HealthCare, General Vision Holding, Google, IBM Corporation, Intel Corporation, Koninklijke Philips NV, Medtronic Plc, Microsoft Corporation, NVIDIA Corporation, Oncora Medical, Recursion Pharmaceuticals Inc, Stryker Corporation, Siemens Healthineers

TABLE OF CONTENTS

  1. RESEARCH SCOPE & METHODOLOGY
    1. STUDY OBJECTIVES
    2. METHODOLOGY
    3. ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    1. MARKET SIZE & ESTIMATES
    2. MARKET OVERVIEW
    3. SCOPE OF STUDY
    4. CRISIS SCENARIO ANALYSIS
      1. IMPACT OF COVID-19 ON GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
    5. MAJOR MARKET FINDINGS
      1. SOFTWARE OFFERING IS LEADING THE GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, DRIVING INNOVATION AND EFFICIENCY
      2. NATURAL LANGUAGE PROCESSING DOMINATING ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE TECHNOLOGY
      3. HEALTHCARE PROVIDERS ARE THE MAJOR USERS OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
      4. DOSAGE ERROR REDUCTION IS THE FASTEST-GROWING APPLICATION
  3. MARKET DYNAMICS
    1. KEY DRIVERS
      1. LARGE VOLUMES OF HEALTHCARE DATA SUPPORTING THE ADOPTION OF AI
      2. INVESTMENTS TOWARD AI RESEARCH & DEVELOPMENT COUPLED WITH PROACTIVE GOVERNMENT SUPPORT
      3. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
      4. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
      5. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. KEY RESTRAINTS
      1. SLOW ADOPTION OF AI-BASED TECHNOLOGIES
      2. CHALLENGES IN MAINTAINING DATA SECURITY
      3. COST CONSTRAINTS AND LOW RETURN ON INVESTMENT (ROI)
  4. KEY ANALYTICS
    1. KEY MARKET TRENDS
      1. WIDENING APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
      2. INCREASING DEMAND FOR AI IN DRUG DISCOVERY
      3. HIGH EMPHASIS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
      4. INCREASING USE OF AI IN GENETICS
      5. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. PORTER’S FIVE FORCES ANALYSIS
      1. BUYERS POWER
      2. SUPPLIERS POWER
      3. SUBSTITUTION
      4. NEW ENTRANTS
      5. INDUSTRY RIVALRY
    3. GROWTH PROSPECT MAPPING
      1. GROWTH PROSPECT MAPPING FOR UNITED STATES
      2. GROWTH PROSPECT MAPPING FOR GERMANY
      3. GROWTH PROSPECT MAPPING FOR INDIA
    4. MARKET MATURITY ANALYSIS
    5. MARKET CONCENTRATION ANALYSIS
    6. VALUE CHAIN ANALYSIS
      1. DATA WAREHOUSE
      2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
      3. SOFTWARE DEVELOPMENT
    7. KEY BUYING CRITERIA
      1. APPLICATION
      2. TECHNOLOGY
      3. INTEGRATION WITH EXISTING INFRASTRUCTURE
    8. REGULATORY FRAMEWORK
  5. MARKET BY OFFERING
    1. SOFTWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. SERVICES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. HARDWARE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  6. MARKET BY TECHNOLOGY
    1. NATURAL LANGUAGE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. QUERYING METHOD
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. CONTEXT AWARE PROCESSING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. DEEP LEARNING
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  7. MARKET BY END-USER
    1. HEALTHCARE PROVIDERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. PAYERS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. ACOS AND MCOS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. PATIENTS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  8. MARKET BY APPLICATION
    1. ROBOT-ASSISTED SURGERY
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    2. VIRTUAL NURSING ASSISTANT
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    3. ADMINISTRATIVE WORKFLOW ASSISTANCE
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    4. FRAUD DETECTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    5. DOSAGE ERROR REDUCTION
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    6. CLINICAL TRIAL PARTICIPANT IDENTIFIER
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    7. PRELIMINARY DIAGNOSIS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
    8. OTHER APPLICATIONS
      1. MARKET FORECAST FIGURE
      2. SEGMENT ANALYSIS
  9. GEOGRAPHICAL ANALYSIS
    1. NORTH AMERICA
      1. MARKET SIZE & ESTIMATES
      2. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
      3. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
      4. KEY PLAYERS IN NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
      5. COUNTRY ANALYSIS
        1. UNITED STATES
          1. UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        2. CANADA
          1. CANADA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
    2. EUROPE
      1. MARKET SIZE & ESTIMATES
      2. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
      3. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
      4. KEY PLAYERS IN EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
      5. COUNTRY ANALYSIS
        1. GERMANY
          1. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        2. UNITED KINGDOM
          1. UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        3. FRANCE
          1. FRANCE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        4. ITALY
          1. ITALY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        5. SPAIN
          1. SPAIN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        6. BELGIUM
          1. BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        7. POLAND
          1. POLAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        8. REST OF EUROPE
          1. REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
    3. ASIA-PACIFIC
      1. MARKET SIZE & ESTIMATES
      2. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
      3. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
      4. KEY PLAYERS IN ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
      5. COUNTRY ANALYSIS
        1. CHINA
          1. CHINA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        2. JAPAN
          1. JAPAN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        3. INDIA
          1. INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        4. SOUTH KOREA
          1. SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        5. AUSTRALIA & NEW ZEALAND
          1. AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        6. INDONESIA
          1. INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        7. THAILAND
          1. THAILAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        8. VIETNAM
          1. VIETNAM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        9. REST OF ASIA-PACIFIC
          1. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
    4. REST OF WORLD
      1. MARKET SIZE & ESTIMATES
      2. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
      3. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
      4. KEY PLAYERS IN REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
      5. REGIONAL ANALYSIS
        1. LATIN AMERICA
          1. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
        2. MIDDLE EAST & AFRICA
          1. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
  10. COMPETITIVE LANDSCAPE
    1. KEY STRATEGIC DEVELOPMENTS
      1. MERGERS & ACQUISITIONS
      2. PRODUCT LAUNCHES & DEVELOPMENTS
      3. PARTNERSHIPS & AGREEMENTS
    2. COMPANY PROFILES
      1. DEEP GENOMICS INC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
      2. ENLITIC INC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
      3. GE HEALTHCARE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      4. GENERAL VISION INC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
      5. GOOGLE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      6. IBM CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      7. INTEL CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      8. KONINKLIJKE PHILIPS NV
        1. COMPANY OVERVIEW
        2. PRODUCTS
        3. STRENGTHS & CHALLENGES
      9. MEDTRONIC PLC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      10. MICROSOFT CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      11. NVIDIA CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      12. ONCORA MEDICAL
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
      13. RECURSION PHARMACEUTICALS INC
        1. COMPANY OVERVIEW
        2. PRODUCTS
      14. STRYKER CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      15. SIEMENS HEALTHINEERS
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE

TABLE 2: GROWTH PROSPECT MAPPING FOR UNITED STATES

TABLE 3: GROWTH PROSPECT MAPPING FOR GERMANY

TABLE 4: GROWTH PROSPECT MAPPING FOR INDIA

TABLE 5: MARKET MATURITY ANALYSIS

TABLE 6: MARKET CONCENTRATION ANALYSIS

TABLE 7: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 8: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 9: GLOBAL SOFTWARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 10: GLOBAL SOFTWARE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 11: GLOBAL SERVICES MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 12: GLOBAL SERVICES MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 13: GLOBAL HARDWARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 14: GLOBAL HARDWARE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 15: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 16: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 17: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 18: GLOBAL NATURAL LANGUAGE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 19: GLOBAL QUERYING METHOD MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 20: GLOBAL QUERYING METHOD MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 21: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 22: GLOBAL CONTEXT AWARE PROCESSING MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 23: GLOBAL DEEP LEARNING MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 24: GLOBAL DEEP LEARNING MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 25: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 26: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 27: GLOBAL HEALTHCARE PROVIDERS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 28: GLOBAL HEALTHCARE PROVIDERS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 29: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 30: GLOBAL PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 31: GLOBAL PAYERS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 32: GLOBAL PAYERS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 33: GLOBAL ACOS AND MCOS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 34: GLOBAL ACOS AND MCOS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 35: GLOBAL PATIENTS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 36: GLOBAL PATIENTS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 37: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 38: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 39: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 40: GLOBAL ROBOT-ASSISTED SURGERY MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 41: GLOBAL VIRTUAL NURSING ASSISTANT MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 42: GLOBAL VIRTUAL NURSING ASSISTANT MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 43: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 44: GLOBAL ADMINISTRATIVE WORKFLOW ASSISTANCE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 45: GLOBAL FRAUD DETECTION MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 46: GLOBAL FRAUD DETECTION MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 47: GLOBAL DOSAGE ERROR REDUCTION MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 48: GLOBAL DOSAGE ERROR REDUCTION MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 49: GLOBAL CLINICAL TRIAL PARTICIPANT IDENTIFIER MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 50: GLOBAL CLINICAL TRIAL PARTICIPANT IDENTIFIER MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 51: GLOBAL PRELIMINARY DIAGNOSIS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 52: GLOBAL PRELIMINARY DIAGNOSIS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 53: GLOBAL OTHER APPLICATIONS MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 54: GLOBAL OTHER APPLICATIONS MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 55: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY GEOGRAPHY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 56: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY GEOGRAPHY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 57: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 58: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 59: KEY PLAYERS OPERATING IN NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET

TABLE 60: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 61: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 62: KEY PLAYERS OPERATING IN EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET

TABLE 63: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 64: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY COUNTRY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 65: KEY PLAYERS OPERATING IN ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET

TABLE 66: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY REGION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 67: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY REGION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 68: KEY PLAYERS OPERATING IN REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET

TABLE 69: LIST OF MERGERS & ACQUISITIONS

TABLE 70: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS

TABLE 71: LIST OF PARTNERSHIPS & AGREEMENTS

LIST OF FIGURES

FIGURE 1: KEY MARKET TRENDS

FIGURE 2: PORTER’S FIVE FORCES ANALYSIS

FIGURE 3: VALUE CHAIN ANALYSIS

FIGURE 4: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERING, IN 2023

FIGURE 5: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SOFTWARE, 2024-2032 (IN $ MILLION)

FIGURE 6: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY SERVICES, 2024-2032 (IN $ MILLION)

FIGURE 7: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HARDWARE, 2024-2032 (IN $ MILLION)

FIGURE 8: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY TECHNOLOGY, IN 2023

FIGURE 9: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY NATURAL LANGUAGE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 10: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY QUERYING METHOD, 2024-2032 (IN $ MILLION)

FIGURE 11: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CONTEXT AWARE PROCESSING, 2024-2032 (IN $ MILLION)

FIGURE 12: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DEEP LEARNING, 2024-2032 (IN $ MILLION)

FIGURE 13: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2023

FIGURE 14: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY HEALTHCARE PROVIDERS, 2024-2032 (IN $ MILLION)

FIGURE 15: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES, 2024-2032 (IN $ MILLION)

FIGURE 16: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PAYERS, 2024-2032 (IN $ MILLION)

FIGURE 17: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ACOS AND MCOS, 2024-2032 (IN $ MILLION)

FIGURE 18: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PATIENTS, 2024-2032 (IN $ MILLION)

FIGURE 19: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY APPLICATION, IN 2023

FIGURE 20: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ROBOT-ASSISTED SURGERY, 2024-2032 (IN $ MILLION)

FIGURE 21: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY VIRTUAL NURSING ASSISTANT, 2024-2032 (IN $ MILLION)

FIGURE 22: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY ADMINISTRATIVE WORKFLOW ASSISTANCE, 2024-2032 (IN $ MILLION)

FIGURE 23: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY FRAUD DETECTION, 2024-2032 (IN $ MILLION)

FIGURE 24: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY DOSAGE ERROR REDUCTION, 2024-2032 (IN $ MILLION)

FIGURE 25: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY CLINICAL TRIAL PARTICIPANT IDENTIFIER, 2024-2032 (IN $ MILLION)

FIGURE 26: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY PRELIMINARY DIAGNOSIS, 2024-2032 (IN $ MILLION)

FIGURE 27: GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OTHER APPLICATIONS, 2024-2032 (IN $ MILLION)

FIGURE 28: NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)

FIGURE 29: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 30: CANADA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 31: EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN %)

FIGURE 32: GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 33: UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 34: FRANCE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 35: ITALY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 36: SPAIN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 37: BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 38: POLAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 39: REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 40: ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, COUNTRY OUTLOOK, 2023 & 2032 (IN%)

FIGURE 41: CHINA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 42: JAPAN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 43: INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 44: SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 45: AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 46: INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 47: THAILAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 48: VIETNAM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 49: REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 50: REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, REGIONAL OUTLOOK, 2023 & 2032 (IN %)

FIGURE 51: LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FIGURE 52: MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, 2024-2032 (IN $ MILLION)

FAQ’s

FAQs

The global artificial intelligence (AI) in healthcare market was valued at $20293.75 million in 2023 and is anticipated to grow at a CAGR of 36.28% during the forecast period 2024-2032.

In 2023, North America dominated the global artificial intelligence (AI) in healthcare market.

Dosage error reduction is the fastest-growing application within the global artificial intelligence (AI) in healthcare market during the forecast period.

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