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PUBLISHER: Inkwood Research | PRODUCT CODE: 1454782

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PUBLISHER: Inkwood Research | PRODUCT CODE: 1454782

Global Artificial Intelligence (AI) in Healthcare Market Forecast 2024-2032

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KEY FINDINGS

The global artificial intelligence (AI) in healthcare market is anticipated to grow at a CAGR of 36.28% during the forecast period 2024-2032. Several factors elevate the market growth: large volumes of healthcare data supporting the adoption of AI, investments towards AI research & development coupled with proactive government support, a growing number of AI and machine learning start-ups, the emergence of personalized medicine in tests for clinical decision-making, and AI creating a real-time monitoring system.

MARKET INSIGHTS

The global artificial intelligence (AI) in healthcare market is experiencing significant growth due to various factors. One primary driver is the large volumes of healthcare data that support the adoption of AI technologies. The vast amount of medical information generated daily provides a robust foundation for the development and implementation of AI solutions in healthcare settings. These technologies leverage data analytics and machine learning algorithms to extract valuable insights, enhance diagnostic accuracy, and simplify patient care processes.

Another important factor contributing to the expansion of the market is the substantial investments made towards AI research & development, coordinated with proactive government support. Governments and private entities worldwide are recognizing the transformative potential of AI in improving healthcare outcomes. This has led to increased funding for AI research initiatives, fostering innovation in the development of advanced technologies. Proactive government support through policies and initiatives further accelerates the integration of AI in healthcare, creating an environment conducive to advancements that enhance patient care, diagnostic accuracy, and operational efficiency.

Despite the promising growth prospects, challenges persist in the widespread adoption of artificial intelligence (AI) in healthcare. One major concern is the inherent difficulty in maintaining data security. With the increasing reliance on interconnected systems and the sharing of sensitive health information, safeguarding patient data from cyber threats and unauthorized access remains a critical challenge.

Additionally, cost constraints and the perceived low return on investment (ROI) put hurdles to the adoption of AI technologies in healthcare. Addressing these challenges will be essential in ensuring the sustainable and secure integration of artificial intelligence (AI) in healthcare systems globally. As the market navigates these complexities, the transformative potential of artificial intelligence (AI) in healthcare continues to build the future of medical practices and patient outcomes.

REGIONAL INSIGHTS

The global artificial intelligence (AI) in healthcare market growth analysis includes the geographical assessment of Asia-Pacific, Europe, North America, and Rest of World. Asia-Pacific is estimated to be the fastest-growing region in the global artificial intelligence (AI) in healthcare market. The market is thriving due to substantial investments from governments and private organizations and the rise of innovative startups. Additionally, ongoing advancements in AI technologies within healthcare further fuel the region's growth, establishing its pivotal role globally.

COMPETITIVE INSIGHTS

The global artificial intelligence (AI) in healthcare market is characterized by intense industry rivalry as key players compete to gain market share and establish technological dominance. Continuous innovation, strategic partnerships, and the pursuit of regulatory compliance are important elements in building the competitive sphere within the rapidly evolving sector. Some of the eminent players in the market include GE HealthCare, Google, IBM Corporation, Intel Corporation, Medtronic Plc, etc.

Our report offerings include:

  • Explore key findings of the overall market
  • Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
  • Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
  • Market Segmentation caters to a thorough assessment of key segments with their market estimations
  • Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
  • Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
  • Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
  • Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments

TABLE OF CONTENTS

1.RESEARCH SCOPE & METHODOLOGY

  • 1.1. STUDY OBJECTIVES
  • 1.2. METHODOLOGY
  • 1.3. ASSUMPTIONS & LIMITATIONS

2.EXECUTIVE SUMMARY

  • 2.1. MARKET SIZE & ESTIMATES
  • 2.2. MARKET OVERVIEW
  • 2.3. SCOPE OF STUDY
  • 2.4. CRISIS SCENARIO ANALYSIS
    • 2.4.1. IMPACT OF COVID-19 ON GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
  • 2.5. MAJOR MARKET FINDINGS
    • 2.5.1. SOFTWARE OFFERING IS LEADING THE GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, DRIVING INNOVATION AND EFFICIENCY
    • 2.5.2. NATURAL LANGUAGE PROCESSING DOMINATING ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE TECHNOLOGY
    • 2.5.3. HEALTHCARE PROVIDERS ARE THE MAJOR USERS OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
    • 2.5.4. DOSAGE ERROR REDUCTION IS THE FASTEST-GROWING APPLICATION

3.MARKET DYNAMICS

  • 3.1. KEY DRIVERS
    • 3.1.1. LARGE VOLUMES OF HEALTHCARE DATA SUPPORTING THE ADOPTION OF AI
    • 3.1.2. INVESTMENTS TOWARD AI RESEARCH & DEVELOPMENT COUPLED WITH PROACTIVE GOVERNMENT SUPPORT
    • 3.1.3. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
    • 3.1.4. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
    • 3.1.5. AI CREATING A REAL-TIME MONITORING SYSTEM
  • 3.2. KEY RESTRAINTS
    • 3.2.1. SLOW ADOPTION OF AI-BASED TECHNOLOGIES
    • 3.2.2. CHALLENGES IN MAINTAINING DATA SECURITY
    • 3.2.3. COST CONSTRAINTS AND LOW RETURN ON INVESTMENT (ROI)

4.KEY ANALYTICS

  • 4.1. KEY MARKET TRENDS
    • 4.1.1. WIDENING APPLICATIONS OF AI IN THE HEALTHCARE INDUSTRY
    • 4.1.2. INCREASING DEMAND FOR AI IN DRUG DISCOVERY
    • 4.1.3. HIGH EMPHASIS ON THE DEVELOPMENT OF PRECISION MEDICINE AND PERSONALIZED DRUGS
    • 4.1.4. INCREASING USE OF AI IN GENETICS
    • 4.1.5. AI CREATING A REAL-TIME MONITORING SYSTEM
  • 4.2. PORTER'S FIVE FORCES ANALYSIS
    • 4.2.1. BUYERS POWER
    • 4.2.2. SUPPLIERS POWER
    • 4.2.3. SUBSTITUTION
    • 4.2.4. NEW ENTRANTS
    • 4.2.5. INDUSTRY RIVALRY
  • 4.3. GROWTH PROSPECT MAPPING
    • 4.3.1. GROWTH PROSPECT MAPPING FOR UNITED STATES
    • 4.3.2. GROWTH PROSPECT MAPPING FOR GERMANY
    • 4.3.3. GROWTH PROSPECT MAPPING FOR INDIA
  • 4.4. MARKET MATURITY ANALYSIS
  • 4.5. MARKET CONCENTRATION ANALYSIS
  • 4.6. VALUE CHAIN ANALYSIS
    • 4.6.1. DATA WAREHOUSE
    • 4.6.2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
    • 4.6.3. SOFTWARE DEVELOPMENT
  • 4.7. KEY BUYING CRITERIA
    • 4.7.1. APPLICATION
    • 4.7.2. TECHNOLOGY
    • 4.7.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
  • 4.8. REGULATORY FRAMEWORK

5.MARKET BY OFFERING

  • 5.1. SOFTWARE
    • 5.1.1. MARKET FORECAST FIGURE
    • 5.1.2. SEGMENT ANALYSIS
  • 5.2. SERVICES
    • 5.2.1. MARKET FORECAST FIGURE
    • 5.2.2. SEGMENT ANALYSIS
  • 5.3. HARDWARE
    • 5.3.1. MARKET FORECAST FIGURE
    • 5.3.2. SEGMENT ANALYSIS

6.MARKET BY TECHNOLOGY

  • 6.1. NATURAL LANGUAGE PROCESSING
    • 6.1.1. MARKET FORECAST FIGURE
    • 6.1.2. SEGMENT ANALYSIS
  • 6.2. QUERYING METHOD
    • 6.2.1. MARKET FORECAST FIGURE
    • 6.2.2. SEGMENT ANALYSIS
  • 6.3. CONTEXT AWARE PROCESSING
    • 6.3.1. MARKET FORECAST FIGURE
    • 6.3.2. SEGMENT ANALYSIS
  • 6.4. DEEP LEARNING
    • 6.4.1. MARKET FORECAST FIGURE
    • 6.4.2. SEGMENT ANALYSIS

7.MARKET BY END-USER

  • 7.1. HEALTHCARE PROVIDERS
    • 7.1.1. MARKET FORECAST FIGURE
    • 7.1.2. SEGMENT ANALYSIS
  • 7.2. PHARMACEUTICAL AND BIOTECHNOLOGY COMPANIES
    • 7.2.1. MARKET FORECAST FIGURE
    • 7.2.2. SEGMENT ANALYSIS
  • 7.3. PAYERS
    • 7.3.1. MARKET FORECAST FIGURE
    • 7.3.2. SEGMENT ANALYSIS
  • 7.4. ACOS AND MCOS
    • 7.4.1. MARKET FORECAST FIGURE
    • 7.4.2. SEGMENT ANALYSIS
  • 7.5. PATIENTS
    • 7.5.1. MARKET FORECAST FIGURE
    • 7.5.2. SEGMENT ANALYSIS

8.MARKET BY APPLICATION

  • 8.1. ROBOT-ASSISTED SURGERY
    • 8.1.1. MARKET FORECAST FIGURE
    • 8.1.2. SEGMENT ANALYSIS
  • 8.2. VIRTUAL NURSING ASSISTANT
    • 8.2.1. MARKET FORECAST FIGURE
    • 8.2.2. SEGMENT ANALYSIS
  • 8.3. ADMINISTRATIVE WORKFLOW ASSISTANCE
    • 8.3.1. MARKET FORECAST FIGURE
    • 8.3.2. SEGMENT ANALYSIS
  • 8.4. FRAUD DETECTION
    • 8.4.1. MARKET FORECAST FIGURE
    • 8.4.2. SEGMENT ANALYSIS
  • 8.5. DOSAGE ERROR REDUCTION
    • 8.5.1. MARKET FORECAST FIGURE
    • 8.5.2. SEGMENT ANALYSIS
  • 8.6. CLINICAL TRIAL PARTICIPANT IDENTIFIER
    • 8.6.1. MARKET FORECAST FIGURE
    • 8.6.2. SEGMENT ANALYSIS
  • 8.7. PRELIMINARY DIAGNOSIS
    • 8.7.1. MARKET FORECAST FIGURE
    • 8.7.2. SEGMENT ANALYSIS
  • 8.8. OTHER APPLICATIONS
    • 8.8.1. MARKET FORECAST FIGURE
    • 8.8.2. SEGMENT ANALYSIS

9.GEOGRAPHICAL ANALYSIS

  • 9.1. NORTH AMERICA
    • 9.1.1. MARKET SIZE & ESTIMATES
    • 9.1.2. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
    • 9.1.3. NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
    • 9.1.4. KEY PLAYERS IN NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
    • 9.1.5. COUNTRY ANALYSIS
      • 9.1.5.1. UNITED STATES
      • 9.1.5.1.1. UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.1.5.2. CANADA
      • 9.1.5.2.1. CANADA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
  • 9.2. EUROPE
    • 9.2.1. MARKET SIZE & ESTIMATES
    • 9.2.2. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
    • 9.2.3. EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
    • 9.2.4. KEY PLAYERS IN EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
    • 9.2.5. COUNTRY ANALYSIS
      • 9.2.5.1. GERMANY
      • 9.2.5.1.1. GERMANY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.2. UNITED KINGDOM
      • 9.2.5.2.1. UNITED KINGDOM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.3. FRANCE
      • 9.2.5.3.1. FRANCE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.4. ITALY
      • 9.2.5.4.1. ITALY ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.5. SPAIN
      • 9.2.5.5.1. SPAIN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.6. BELGIUM
      • 9.2.5.6.1. BELGIUM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.7. POLAND
      • 9.2.5.7.1. POLAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.2.5.8. REST OF EUROPE
      • 9.2.5.8.1. REST OF EUROPE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
  • 9.3. ASIA-PACIFIC
    • 9.3.1. MARKET SIZE & ESTIMATES
    • 9.3.2. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
    • 9.3.3. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
    • 9.3.4. KEY PLAYERS IN ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
    • 9.3.5. COUNTRY ANALYSIS
      • 9.3.5.1. CHINA
      • 9.3.5.1.1. CHINA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.2. JAPAN
      • 9.3.5.2.1. JAPAN ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.3. INDIA
      • 9.3.5.3.1. INDIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.4. SOUTH KOREA
      • 9.3.5.4.1. SOUTH KOREA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.5. AUSTRALIA & NEW ZEALAND
      • 9.3.5.5.1. AUSTRALIA & NEW ZEALAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.6. INDONESIA
      • 9.3.5.6.1. INDONESIA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.7. THAILAND
      • 9.3.5.7.1. THAILAND ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.8. VIETNAM
      • 9.3.5.8.1. VIETNAM ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.3.5.9. REST OF ASIA-PACIFIC
      • 9.3.5.9.1. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
  • 9.4. REST OF WORLD
    • 9.4.1. MARKET SIZE & ESTIMATES
    • 9.4.2. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET DRIVERS
    • 9.4.3. REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET CHALLENGES
    • 9.4.4. KEY PLAYERS IN REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET
    • 9.4.5. REGIONAL ANALYSIS
      • 9.4.5.1. LATIN AMERICA
      • 9.4.5.1.1. LATIN AMERICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES
      • 9.4.5.2. MIDDLE EAST & AFRICA
      • 9.4.5.2.1. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET SIZE & OPPORTUNITIES

10.COMPETITIVE LANDSCAPE

  • 10.1. KEY STRATEGIC DEVELOPMENTS
    • 10.1.1. MERGERS & ACQUISITIONS
    • 10.1.2. PRODUCT LAUNCHES & DEVELOPMENTS
    • 10.1.3. PARTNERSHIPS & AGREEMENTS
  • 10.2. COMPANY PROFILES
    • 10.2.1. DEEP GENOMICS INC
      • 10.2.1.1. COMPANY OVERVIEW
      • 10.2.1.2. PRODUCT LIST
    • 10.2.2. ENLITIC INC
      • 10.2.2.1. COMPANY OVERVIEW
      • 10.2.2.2. PRODUCT LIST
    • 10.2.3. GE HEALTHCARE
      • 10.2.3.1. COMPANY OVERVIEW
      • 10.2.3.2. PRODUCT LIST
      • 10.2.3.3. STRENGTHS & CHALLENGES
    • 10.2.4. GENERAL VISION INC
      • 10.2.4.1. COMPANY OVERVIEW
      • 10.2.4.2. PRODUCT LIST
    • 10.2.5. GOOGLE
      • 10.2.5.1. COMPANY OVERVIEW
      • 10.2.5.2. PRODUCT LIST
      • 10.2.5.3. STRENGTHS & CHALLENGES
    • 10.2.6. IBM CORPORATION
      • 10.2.6.1. COMPANY OVERVIEW
      • 10.2.6.2. PRODUCT LIST
      • 10.2.6.3. STRENGTHS & CHALLENGES
    • 10.2.7. INTEL CORPORATION
      • 10.2.7.1. COMPANY OVERVIEW
      • 10.2.7.2. PRODUCT LIST
      • 10.2.7.3. STRENGTHS & CHALLENGES
    • 10.2.8. KONINKLIJKE PHILIPS NV
      • 10.2.8.1. COMPANY OVERVIEW
      • 10.2.8.2. PRODUCTS
      • 10.2.8.3. STRENGTHS & CHALLENGES
    • 10.2.9. MEDTRONIC PLC
      • 10.2.9.1. COMPANY OVERVIEW
      • 10.2.9.2. PRODUCT LIST
      • 10.2.9.3. STRENGTHS & CHALLENGES
    • 10.2.10. MICROSOFT CORPORATION
      • 10.2.10.1. COMPANY OVERVIEW
      • 10.2.10.2. PRODUCT LIST
      • 10.2.10.3. STRENGTHS & CHALLENGES
    • 10.2.11. NVIDIA CORPORATION
      • 10.2.11.1. COMPANY OVERVIEW
      • 10.2.11.2. PRODUCT LIST
      • 10.2.11.3. STRENGTHS & CHALLENGES
    • 10.2.12. ONCORA MEDICAL
      • 10.2.12.1. COMPANY OVERVIEW
      • 10.2.12.2. PRODUCT LIST
    • 10.2.13. RECURSION PHARMACEUTICALS INC
      • 10.2.13.1. COMPANY OVERVIEW
      • 10.2.13.2. PRODUCTS
    • 10.2.14. STRYKER CORPORATION
      • 10.2.14.1. COMPANY OVERVIEW
      • 10.2.14.2. PRODUCT LIST
      • 10.2.14.3. STRENGTHS & CHALLENGES
    • 10.2.15. SIEMENS HEALTHINEERS
      • 10.2.15.1. COMPANY OVERVIEW
      • 10.2.15.2. PRODUCT LIST
      • 10.2.15.3. 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)
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