Table of Content

Executive Summary
Scope and Definition

1 Market: Industry Outlook
1.1 Market Overview
1.1.1 AI Adoption in Healthcare
1.1.2 AI Use Cases in Healthcare
1.1.2.1 Diagnostics and Imaging
1.1.2.2 Drug Discovery and Development
1.1.2.3 Personalized Medicine and Treatment Plans
1.1.2.4 AI in Patient Management and Virtual Healthcare
1.1.2.5 Remote Patient Monitoring (RPM)
1.1.2.6 Hospital Operations and Administrative Automation
1.1.2.7 AI in Surgery and Robotics
1.1.2.8 AI for Disease Prediction and Early Detection
1.1.3 Technology Used in AI
1.1.3.1 Machine Learning
1.1.3.2 Natural Language Processing (NLP)
1.1.3.3 Generative AI
1.1.3.4 Computer Vision
1.1.3.5 Image Analysis
1.2 Market Trends and Adoption Rates
1.2.1 Increasing Adoption of Digital Technology
1.2.2 Increasing Funding Initiatives
1.2.3 Emerging Applications of AI in Healthcare
1.3 AI Adoption vs Market Readiness
1.4 Entry Barriers and Opportunities
1.4.1 Barriers
1.4.1.1 Regulatory Uncertainty
1.4.1.2 Integration Complexity
1.4.1.3 Workforce Transition
1.4.1.4 Data Strategy
1.4.1.5 ROI Realization
1.4.2 Opportunities
1.4.2.1 Strategic Differentiation
1.4.2.2 New Services and Revenue Streams
1.4.2.3 Addressing Workforce Shortages
1.4.2.4 Collaboration and Ecosystem Building
1.5 Case Studies and Impact
1.5.1 Stroke Care (Viz.ai)
1.5.2 Sepsis Early Detection-Mixed Results
1.5.3 Diagnostic Accuracy
1.5.4 Patient Satisfaction-AI Patient Communication
1.5.5 Telehealth Triage-Kaiser’s Chatbot
1.6 Regulatory Landscape
1.6.1 Regulatory and Policy Landscape in the U.S.
1.6.2 EU vs. U.S. Differences
1.7 Market Dynamics Overview
1.7.1 Impact Analysis
1.7.2 Market Drivers
1.7.2.1 Growing Need for Early Detection and Diagnosis
1.7.2.2 The Rapid Proliferation of AI in the Healthcare Sector
1.7.2.3 Exponential Growth in Data Volume and Complexity Due to Surging Adoption of Digital Technologies
1.7.2.4 Operational Efficiency and Cost Reduction
1.7.3 Market Challenges
1.7.3.1 Concerns Regarding Data Privacy
1.7.4 Market Opportunities
1.7.4.1 Pain Management and Personalized Care

2 U.S. AI in Healthcare Market (by Offering), $Billion, 2023-2034
2.1 Hardware
2.2 Software and Services

3 U.S. AI in Healthcare Market (by End User), $Billion, 2023-2034
3.1 Healthcare Providers
3.2 Healthcare Payers
3.3 Patients
3.4 Other Healthcare Providers

4 Markets - Competitive Benchmarking & Company Profiles
4.1 Key Strategies and Development
4.1.1 Partnerships, Alliances, and Business Expansions
4.1.2 Funding Activities
4.1.3 Merger and Acquisition
4.1.4 New Offerings and Regulatory Approval
4.2 Investment Landscape (Funding and M&A Activity)
4.3 Major AI Products and Startups (2023-2025)
4.3.1 Viz.ai
4.3.2 Abridge
4.3.3 Insilico Medicine
4.3.4 Tempus
4.4 Company Profiles
4.4.1 International Business Machines Corporation
4.4.1.1 Overview
4.4.1.2 Top Products/Services
4.4.1.3 Top Competitors
4.4.1.4 Target Customers
4.4.1.5 Analyst View
4.4.2 Google LLC
4.4.2.1 Overview
4.4.2.2 Top Products/Services
4.4.2.3 Top Competitors
4.4.2.4 Target Customers
4.4.2.5 Analyst View
4.4.3 Microsoft Corporation
4.4.3.1 Overview
4.4.3.2 Top Products/ Services
4.4.3.3 Top Competitors
4.4.3.4 Target Customers
4.4.3.5 Analyst View
4.4.4 Amazon.com, Inc.
4.4.4.1 Overview
4.4.4.2 Top Products/ Services
4.4.4.3 Top Competitors
4.4.4.4 Target Customers
4.4.4.5 Analyst View
4.4.5 NVIDIA Corporation
4.4.5.1 Overview
4.4.5.2 Top Products/ Services
4.4.5.3 Top Competitors
4.4.5.4 Target Customers
4.4.5.5 Analyst View
4.4.6 GE HealthCare
4.4.6.1 Overview
4.4.6.2 Top Products/ Services
4.4.6.3 Top Competitors
4.4.6.4 Target Customers
4.4.6.5 Analyst View
4.4.7 Koninklijke Philips N.V.
4.4.7.1 Overview
4.4.7.2 Top Products/ Services
4.4.7.3 Top Competitors
4.4.7.4 Target Customers
4.4.7.5 Analyst View
4.4.8 Tempus Labs, Inc.
4.4.8.1 Overview
4.4.8.2 Top Products/ Services
4.4.8.3 Top Competitors
4.4.8.4 Target Customers
4.4.8.5 Analyst View
4.4.9 PathAI
4.4.9.1 Overview
4.4.9.2 Top Products/Services
4.4.9.3 Top Competitors
4.4.9.4 Target Customers
4.4.9.5 Analyst View

5 Research Methodology
5.1 Data Sources
5.1.1 Primary Data Sources
5.1.2 Secondary Data Sources
5.1.3 Data Triangulation
5.2 Market Estimation and Forecast

List of Figures
Figure 1: U.S. AI in healthcare Market (by Offering), $Billion, 2023 and 2034
Figure 2: U.S. AI in healthcare Market (by End User), $Billion, 2023 and 2034
Figure 3: Key Events to Keep Track of in the U.S. AI in Healthcare Market
Figure 4: AI Adoption Vs. Market Readiness Across Healthcare Applications
Figure 5: Share of Strategic Initiatives, January 2019-December 2023
Figure 6: Strategic Initiatives (by Year), January 2019-December 2023
Figure 7: Partnerships, Alliances, and Business Expansions, January 2019-December 2023
Figure 8: Funding Activities, January 2019-December 2023
Figure 9: Merger and Acquisition, January 2019-December 2023
Figure 10: New Offerings and Regulatory Approval, January 2019-December 2023
Figure 11: Data Triangulation
Figure 12: Top-Down and Bottom-Up Approach
Figure 13: Assumptions and Limitations

List of Tables
Table 1: Market Snapshot
Table 2: Impact Analysis of U.S. AI in Healthcare Market Navigating Factors, 2024-2034
Table 3: U.S. AI in Healthcare Market (by Offering), $Billion, 2023-2034
Table 4: U.S. AI in Healthcare Market (by End User), $Billion, 2023-2034