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Report
United States Artificial Intelligence (Ai) In Healthcare Market Forecast 2024-2032
Market Report I 2024-03-13 I 117 Pages I Inkwood Research
KEY FINDINGS
The United States artificial intelligence (AI) in healthcare market is expected to grow at a CAGR of 35.90% during the forecast period 2024-2032. Several factors elevate the market growth, such as large volumes of healthcare data supporting the adoption of AI, 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 United States artificial intelligence (AI) in healthcare market is experiencing substantive growth, fueled in large part by the vast volumes of healthcare data available. With the increasing digitization of patient records, diagnostic imaging, and other medical information, the adoption of AI is being propelled by the abundance of data that can be utilized for enhanced decision-making and personalized patient care. This wealth of information facilitates more accurate diagnoses and contributes to the development of innovative AI applications.
Apart from the surge in healthcare data, the market is witnessing a proliferation of AI and machine learning start-ups. These emerging companies are integral in driving innovation and fostering the integration of AI technologies within the healthcare sector. The growing number of start-ups is infusing vitality into the market, powering competition, and leading to the creation of diverse AI applications designed to address various healthcare challenges. This trend is instrumental in accelerating the evolution of AI in healthcare and promoting a competitive market environment that encourages continuous advancements.
Despite the promising growth, challenges persist in maintaining data security within the United States artificial intelligence (AI) in healthcare market. The interconnectedness of healthcare systems and the reliance on vast amounts of sensitive patient information raise concerns about potential data breaches and privacy issues. Ensuring the security of patient data is paramount in the healthcare sector. The market faces the intricate challenge of implementing strong cybersecurity measures to guarantee the confidentiality and integrity of information processed by AI systems. Addressing these challenges is essential for building trust among healthcare professionals, patients, and stakeholders, elevating the responsible and sustained development of the artificial intelligence (AI) in healthcare.
COMPETITIVE INSIGHTS
Some of the major companies in the United States artificial intelligence (AI) in healthcare market include Enlitic Inc, Deep Genomics Inc, Google, IBM Corporation, 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.
- The competitive landscape is the theoretical explanation of the key companies based on factors such as market share.
- 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. COUNTRY SNAPSHOT
2.3. COUNTRY ANALYSIS
2.4. SCOPE OF STUDY
2.5. CRISIS SCENARIO ANALYSIS
2.6. MAJOR MARKET FINDINGS
2.6.1. SOFTWARE OFFERING IS LEADING THE ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE MARKET, DRIVING INNOVATION AND EFFICIENCY
2.6.2. NATURAL LANGUAGE PROCESSING DOMINATING ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE TECHNOLOGY
2.6.3. HEALTHCARE PROVIDERS ARE THE MAJOR USERS OF ARTIFICIAL INTELLIGENCE (AI) IN HEALTHCARE
2.6.4. 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. GROWING NUMBER OF AI AND MACHINE LEARNING START-UPS
3.1.3. EMERGENCE OF PERSONALIZED MEDICINE IN TESTS FOR CLINICAL DECISION-MAKING
3.1.4. AI CREATING A REAL-TIME MONITORING SYSTEM
3.2. KEY RESTRAINTS
3.2.1. CHALLENGES IN MAINTAINING DATA SECURITY
3.2.2. 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. PESTLE ANALYSIS
4.2.1. POLITICAL
4.2.2. ECONOMICAL
4.2.3. SOCIAL
4.2.4. TECHNOLOGICAL
4.2.5. LEGAL
4.2.6. ENVIRONMENTAL
4.3. PORTER'S FIVE FORCES ANALYSIS
4.3.1. BUYERS POWER
4.3.2. SUPPLIERS POWER
4.3.3. SUBSTITUTION
4.3.4. NEW ENTRANTS
4.3.5. INDUSTRY RIVALRY
4.4. VALUE CHAIN ANALYSIS
4.4.1. DATA WAREHOUSE
4.4.2. ARTIFICIAL INTELLIGENCE (AI) ANALYSIS
4.4.3. SOFTWARE DEVELOPMENT
4.5. KEY BUYING CRITERIA
4.5.1. APPLICATION
4.5.2. TECHNOLOGY
4.5.3. INTEGRATION WITH EXISTING INFRASTRUCTURE
4.6. 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. COMPETITIVE LANDSCAPE
9.1. KEY STRATEGIC DEVELOPMENTS
9.1.1. MERGERS & ACQUISITIONS
9.1.2. PRODUCT LAUNCHES & DEVELOPMENTS
9.1.3. PARTNERSHIPS & AGREEMENTS
9.2. COMPANY PROFILES
9.2.1. DEEP GENOMICS INC
9.2.1.1. COMPANY OVERVIEW
9.2.1.2. PRODUCT LIST
9.2.2. ENLITIC INC
9.2.2.1. COMPANY OVERVIEW
9.2.2.2. PRODUCT LIST
9.2.3. GE HEALTHCARE
9.2.3.1. COMPANY OVERVIEW
9.2.3.2. PRODUCT LIST
9.2.3.3. STRENGTHS & CHALLENGES
9.2.4. GOOGLE
9.2.4.1. COMPANY OVERVIEW
9.2.4.2. PRODUCT LIST
9.2.4.3. STRENGTHS & CHALLENGES
9.2.5. IBM CORPORATION
9.2.5.1. COMPANY OVERVIEW
9.2.5.2. PRODUCT LIST
9.2.5.3. STRENGTHS & CHALLENGES
9.2.6. INTEL CORPORATION
9.2.6.1. COMPANY OVERVIEW
9.2.6.2. PRODUCT LIST
9.2.6.3. STRENGTHS & CHALLENGES
9.2.7. MEDTRONIC PLC
9.2.7.1. COMPANY OVERVIEW
9.2.7.2. PRODUCT LIST
9.2.7.3. STRENGTHS & CHALLENGES
9.2.8. MICROSOFT CORPORATION
9.2.8.1. COMPANY OVERVIEW
9.2.8.2. PRODUCT LIST
9.2.8.3. STRENGTHS & CHALLENGES
9.2.9. NVIDIA CORPORATION
9.2.9.1. COMPANY OVERVIEW
9.2.9.2. PRODUCT LIST
9.2.9.3. STRENGTHS & CHALLENGES
9.2.10. STRYKER CORPORATION
9.2.10.1. COMPANY OVERVIEW
9.2.10.2. PRODUCT LIST
9.2.10.3. 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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