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

SCOPE OF THE REPORT

United States 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)


MARKET OVERVIEW

The United States artificial intelligence (AI) in healthcare market is projected to develop with a CAGR of 35.90% over the forecast period of 2024-2032. Further, it is set to reach a revenue of $137240.70 million by 2032

The United States artificial intelligence (AI) in healthcare market is undergoing substantial growth, propelled by the abundance of healthcare data, providing a developing foundation for widespread AI adoption. This wealth of data enables AI systems to analyze information more efficiently, leading to improved diagnostics, treatment planning, and overall patient care.

Additionally, the increasing number of AI and machine learning start-ups contributes significantly to the market’s expansion. These innovative companies introduce novel solutions and applications that use AI to enhance various healthcare aspects. This evolving domain fosters innovation, competition, and continuous evolution within the healthcare sector.

United States Artificial Intelligence (AI) In Healthcare Market

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The rise of personalized medicine is another crucial factor driving AI adoption in clinical decision-making. AI applications are integrated into tests and procedures personalized to individual patient characteristics, providing more effective treatment plans. This trend aligns with the goal of precision healthcare, optimizing patient outcomes based on specific genetic, environmental, and lifestyle factors.

Furthermore, AI plays a fundamental role in establishing real-time monitoring systems in healthcare, enhancing patient care by enabling professionals to monitor and respond to changes promptly. AI-driven monitoring systems facilitate proactive interventions, improving patient outcomes and reducing the risk of adverse events.

However, the United States artificial intelligence (AI) in healthcare market faces challenges, with data security being a significant concern. The increased reliance on AI for sensitive healthcare data necessitates resilient cybersecurity measures and compliance with data protection regulations to ensure patient information’s privacy and security.

Cost constraints and low return on investment (ROI) present additional challenges to widespread AI adoption in healthcare. The initial investment required for AI implementation, along with uncertainties about ROI, can hinder adoption, particularly for smaller healthcare providers. Addressing these challenges involves finding a balance between implementation costs and long-term benefits, along with strategies to demonstrate AI’s tangible value in improving healthcare outcomes.

The United States artificial intelligence (AI) in healthcare market segmentation includes the market by offering, technology, end-user, and application. The application segment is further divided into robot-assisted surgery and virtual nursing assistant.  Robot-assisted surgery marks a transformative shift by seamlessly incorporating the precision of AI algorithms with the skill of robotic systems. This innovative synergy empowers surgeons, enabling them to perform complex procedures with unprecedented accuracy, redefining the field of surgical precision. 

Further, AI integration in robot-assisted surgery allows real-time data analysis, providing critical information to surgeons and enhancing decision-making during operations. This application contributes to improved surgical outcomes, reduces recovery times, and enhances overall patient satisfaction. Simultaneously, virtual nursing assistant employs AI algorithms to create intelligent virtual assistants supporting healthcare professionals in patient care and management. 

It efficiently handles routine tasks, provides medication reminders, and offers personalized health information to patients. These guidelines healthcare workflows, improving patient engagement and adherence to treatment plans. The virtual nursing assistant sub-segment reflects the growing trend of integrating AI to enhance patient care and optimize healthcare delivery.

While robot-assisted surgery and virtual nursing assistants represent distinct applications, they share a common goal: leveraging AI to improve healthcare outcomes. These applications showcase the versatility of AI in addressing specific challenges within the healthcare domain, from enhancing surgical precision to augmenting patient care and support.

Some of the leading players in the United States artificial intelligence (AI) in healthcare market are Enlitic Inc, Deep Genomics Inc, Google, IBM Corporation, Microsoft Corporation, etc. 

Enlitic Inc, headquartered in San Francisco, California, United States, is a leading force in medical deep learning. The company leverages proprietary algorithms developed by a team of distinguished data scientists, machine learning practitioners, and medical experts. Through the analysis of an extensive range of healthcare data sources, including billions of clinical cases, Enlitic aims to rapidly and accurately improve healthcare diagnosis. The platform’s focus is on enhancing diagnostic accuracy, speeding up processes, and ultimately elevating patient outcomes.

REPORT SYNOPSIS

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

Revenue ($ Million)

Segments Analyzed
Offering, Technology, End-User, and Application
Countries AnalyzedUnited States
Companies AnalyzedDeep Genomics Inc, Enlitic Inc, GE HealthCare, Google, IBM Corporation, Intel Corporation, Medtronic Plc, Microsoft Corporation, NVIDIA Corporation, Stryker Corporation

TABLE OF CONTENTS

  1. RESEARCH SCOPE & METHODOLOGY 
    1. STUDY OBJECTIVES
    2. METHODOLOGY
    3. ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    1. MARKET SIZE & ESTIMATES
    2. COUNTRY SNAPSHOT
    3. COUNTRY ANALYSIS 
    4. SCOPE OF STUDY
    5. CRISIS SCENARIO ANALYSIS
    6. MAJOR MARKET FINDINGS
      1. SOFTWARE OFFERING IS LEADING THE 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. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
      3. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
      4. AI CREATING A REAL-TIME MONITORING SYSTEM
    2. KEY RESTRAINTS
      1. CHALLENGES IN MAINTAINING DATA SECURITY
      2. 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. PESTLE ANALYSIS
      1. POLITICAL
      2. ECONOMICAL
      3. SOCIAL
      4. TECHNOLOGICAL
      5. LEGAL
      6. ENVIRONMENTAL
    3. PORTER’S FIVE FORCES ANALYSIS
      1. BUYERS POWER
      2. SUPPLIERS POWER
      3. SUBSTITUTION
      4. NEW ENTRANTS
      5. INDUSTRY RIVALRY
    4. VALUE CHAIN ANALYSIS
      1. DATA WAREHOUSE
      2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
      3. SOFTWARE DEVELOPMENT
    5. KEY BUYING CRITERIA
      1. APPLICATION
      2. TECHNOLOGY
      3. INTEGRATION WITH EXISTING INFRASTRUCTURE
    6. 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. 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. GOOGLE
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      5. IBM CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      6. INTEL CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      7. MEDTRONIC PLC
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      8. MICROSOFT CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      9. NVIDIA CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES
      10. STRYKER CORPORATION
        1. COMPANY OVERVIEW
        2. PRODUCT LIST
        3. STRENGTHS & CHALLENGES

LIST OF TABLES

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

TABLE 2: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 3: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY OFFERING, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 4: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 5: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY TECHNOLOGY, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 6: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 7: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY END-USER, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 8: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, HISTORICAL YEARS, 2018-2022 (IN $ MILLION)

TABLE 9: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, BY APPLICATION, FORECAST YEARS, 2024-2032 (IN $ MILLION)

TABLE 10: LIST OF MERGERS & ACQUISITIONS

TABLE 11: LIST OF PRODUCT LAUNCHES & DEVELOPMENTS

TABLE 12: 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: UNITED STATES ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, GROWTH POTENTIAL, BY OFFERING, IN 2023

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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