PUBLISHER: Polaris Market Research | PRODUCT CODE: 1463159
PUBLISHER: Polaris Market Research | PRODUCT CODE: 1463159
U.S. Healthcare Generative AI Market Share, Size, Trends, Industry Analysis Report, By Component (Software and Services); By Function; By Application; By End-Use; Segment Forecast, 2024- 2032
The U.S. healthcare generative AI market size is expected to reach USD 8,131.58 million by 2032, according to a new study by Polaris Market Research. The report "U.S. Healthcare Generative AI Market Share, Size, Trends, Industry Analysis Report, U.S. Healthcare Generative AI Market Share, Size, Trends, Industry Analysis Report, By Component (Software and Services); By Function; By Application; By End-Use; Segment Forecast, 2024 - 2032" gives a detailed insight into current market dynamics and provides analysis on future market growth.
Generative AI, a subset of artificial intelligence, holds promise in revolutionizing personalized medicine and medical diagnosis. By analyzing existing data, it can generate new samples for diagnostic imaging, simulate patient responses, and produce synthetic patient data for training and testing purposes. Generative AI's analytical prowess is instrumental in facilitating medical decision-making, particularly in generating novel insights and solutions. It proves effective in creating medical images, synthesizing drug molecules, and tailoring therapies based on individual health data.
Generative AI enhances real-time information gathering by engaging with patients in understandable language, resolving uncertainties, and summarizing data for healthcare professionals. It can analyze proteins, chemicals, and DNA by leveraging historical and current medical data, assisting healthcare providers in identifying root causes. Generative AI's transformative potential in addressing healthcare challenges is attracting attention from healthcare providers and generative AI startups.
These models' ability to generate realistic medical data and produce visit notes, treatment codes, and medical summaries can streamline medical documentation processes. Furthermore, they can offer diagnostic suggestions, recommend treatment courses, and enhance diagnostic capabilities, thereby driving their integration and adoption across various healthcare domains.
The COVID-19 pandemic has accelerated the integration of generative AI into modern healthcare, reducing waiting times at medical facilities and enabling remote consultations. It has also spurred technological advancements in drug development and detection software with the aid of generative AI. For example, Northwestern University developed an AI algorithm called DeepCOVID-XR, which can detect signs of COVID-19 on standard chest X-rays faster and with greater accuracy than thoracic radiologists.
Models like Variational Autoencoders and Generative Adversarial Networks can produce representative and innovative data for medical image synthesis, personalized medicine, and the development of various molecules for drug discovery. The increasing availability of healthcare data and the demand for efficient and cost-effective solutions are driving the adoption of generative AI in the U.S. healthcare sector.
U.S. Healthcare Generative AI Market Report Highlights
In 2023, clinical research accounted for the largest market share in the electric tractor market. Clinical research leverages the capabilities to design and implement precision medicine approaches tailored to the unique characteristics and needs of individual patients. This personalized approach improves patient outcomes and enhances the efficiency and cost-effectiveness of healthcare delivery.
The clinical segment is expected to grow at the fastest CAGR during the forecast period. Increasing awareness about the importance of early disease detection and the availability of screening programs for various conditions contribute to the growth of the diagnosis segment. Public health initiatives and awareness campaigns encourage individuals to undergo regular screenings and diagnostic tests, due to early disease detection and improved patient outcomes.
The U.S. key market players are Amazon Web Services, Inc, Google LLC, HCA Healthcare, IBM Watson, Microsoft Corporation, Neuralink Corporation, NioyaTech, OpenAI, Oracle.
Polaris Market Research has segmented the U.S. healthcare generative ai market report based on component, function, application and end-use.
U.S. Healthcare Generative AI, Component Outlook (Revenue - USD Million, 2019 - 2032)
- Software
- Services
U.S. Healthcare Generative AI, Function Outlook (Revenue - USD Million, 2019 - 2032)
- Virtual Nursing Assistants
- Robot-Assisted AI Surgery
- Administrative Process Optimization
- Medical Imaging Analysis
U.S. Healthcare Generative AI, Application Outlook (Revenue - USD Million, 2019 - 2032)
- Clinical
- Cardiovascular
- Dermatology
- Infectious Disease
- Oncology
- System
- Disease Diagnosis
- Telemedicine
- Electronic Health Records
- Drug Interaction
U.S. Healthcare Generative AI, End-Use Outlook (Revenue - USD Million, 2019 - 2032)
- Clinical Research
- Medical Centers
- Diagnostic Centers
- Others
Table of Contents
1. Introduction
- 1.1. Report Description
- 1.1.1. Objectives of the Study
- 1.1.2. Market Scope
- 1.1.3. Assumptions
- 1.2. Stakeholders
2. Executive Summary
- 2.1. Market Highlights
3. Research Methodology
- 3.1. Overview
- 3.1.1. Data Mining
- 3.2. Data Sources
- 3.2.1. Primary Sources
- 3.2.2. Secondary Sources
4. U.S. Healthcare Generative AI Market Insights
- 4.1. U.S. Healthcare Generative AI Market - Industry Snapshot
- 4.2. U.S. Healthcare Generative AI Market Dynamics
- 4.2.1. Drivers and Opportunities
- 4.2.1.1. Growing Healthcare Costs have been projected to spur product demand
- 4.2.1.2. Rising incidence of chronic conditions among patients
- 4.2.2. Restraints and Challenges
- 4.2.2.1. Data Privacy and Security Concerns
- 4.2.1. Drivers and Opportunities
- 4.3. Porter's Five Forces Analysis
- 4.3.1. Bargaining Power of Suppliers (Moderate)
- 4.3.2. Threats of New Entrants: (Low)
- 4.3.3. Bargaining Power of Buyers (Moderate)
- 4.3.4. Threat of Substitute (Moderate)
- 4.3.5. Rivalry among existing firms (High)
- 4.4. PESTLE Analysis
- 4.5. U.S. Healthcare Generative AI Industry trends
- 4.6. Value Chain Analysis
- 4.7. COVID-19 Impact Analysis
5. U.S. Healthcare Generative AI Market, by Component
- 5.1. Key Findings
- 5.2. Introduction
- 5.2.1. U.S. Healthcare Generative AI, by Component, 2019-2032 (USD Million)
- 5.3. Software
- 5.3.1. U.S. Healthcare Generative AI Market, by Software, 2019-2032 (USD Million)
- 5.4. Services
- 5.4.1. U.S. Healthcare Generative AI Market, by Services, 2019-2032 (USD Million)
6. U.S. Healthcare Generative AI Market, by Application
- 6.1. Key Findings
- 6.2. Introduction
- 6.2.1. U.S. Healthcare Generative AI Market, by Application, 2019-2032 (USD Million)
- 6.3. Clinical
- 6.3.1. U.S. Healthcare Generative AI Market, by Clinical, 2019-2032 (USD Million)
- 6.3.2. Cardiovascular
- 6.3.2.1. U.S. Healthcare Generative AI Market, by Cardiovascular, 2019-2032 (USD Million)
- 6.3.3. Dermatology
- 6.3.3.1. U.S. Healthcare Generative AI Market, by Dermatology, 2019-2032 (USD Million)
- 6.3.4. Infectious Disease
- 6.3.4.1. U.S. Healthcare Generative AI Market, by Infectious Disease, 2019-2032 (USD Million)
- 6.3.5. Oncology
- 6.3.5.1. U.S. Healthcare Generative AI Market, by Oncology, 2019-2032 (USD Million)
- 6.4. System
- 6.4.1. U.S. Healthcare Generative AI Market, by System, 2019-2032 (USD Million)
- 6.4.2. Disease Diagnosis
- 6.4.2.1. U.S. Healthcare Generative AI Market, by Disease Diagnosis, 2019-2032 (USD Million)
- 6.4.3. Telemedicine
- 6.4.3.1. U.S. Healthcare Generative AI Market, by Telemedicine, 2019-2032 (USD Million)
- 6.4.4. Electronic Health Records
- 6.4.4.1. U.S. Healthcare Generative AI Market, by Electronic Health Records, 2019-2032 (USD Million)
- 6.4.5. Drug Interaction
- 6.4.5.1. U.S. Healthcare Generative AI Market, by Drug Interaction, 2019-2032 (USD Million)
7. U.S. Healthcare Generative AI Market, by Function
- 7.1. Key Findings
- 7.2. Introduction
- 7.2.1. U.S. Healthcare Generative AI Market, by Function, 2019-2032 (USD Million)
- 7.3. Virtual Nursing Assistants
- 7.3.1. U.S. Healthcare Generative AI Market, by Virtual Nursing Assistants, 2019-2032 (USD Million)
- 7.4. Robot-Assisted AI Surgery
- 7.4.1. U.S. Healthcare Generative AI Market, by Robot-Assisted AI Surgery, 2019-2032 (USD Million)
- 7.5. Administrative Process Optimization
- 7.5.1. U.S. Healthcare Generative AI Market, by Administrative Process Optimization, 2019-2032 (USD Million)
- 7.6. Medical Imaging Analysis
- 7.6.1. U.S. Healthcare Generative AI Market, by Medical Imaging Analysis, 2019-2032 (USD Million)
8. U.S. Healthcare Generative AI Market, by End-Use
- 8.1. Key Findings
- 8.2. Introduction
- 8.2.1. U.S. Healthcare Generative AI Market, by End-Use, 2019-2032 (USD Million)
- 8.3. Clinical Research
- 8.3.1. U.S. Healthcare Generative AI Market, by Clinical Research, 2019-2032 (USD Million)
- 8.4. Medical Centers
- 8.4.1. U.S. Healthcare Generative AI Market, by Medical Centers, 2019-2032 (USD Million)
- 8.5. Diagnostic Centers
- 8.5.1. U.S. Healthcare Generative AI Market, by Diagnostic Centers, 2019-2032 (USD Million)
- 8.6. Others
- 8.6.1. U.S. Healthcare Generative AI Market, by Others, 2019-2032 (USD Million)
9. Competitive Landscape
- 9.1. Expansion and Acquisition Analysis
- 9.1.1. Expansion
- 9.1.2. Acquisitions
- 9.2. Partnerships/Collaborations/Agreements/Exhibitions
10. Company Profiles
- 10.1. Amazon Web Services, Inc
- 10.1.1. Company Overview
- 10.1.2. Financial Performance
- 10.1.3. Component Benchmarking
- 10.1.4. Recent Development
- 10.2. Google LLC
- 10.2.1. Company Overview
- 10.2.2. Financial Performance
- 10.2.3. Component Benchmarking
- 10.2.4. Recent Development
- 10.3. HCA Healthcare
- 10.3.1. Company Overview
- 10.3.2. Financial Performance
- 10.3.3. Component Benchmarking
- 10.3.4. Recent Development
- 10.4. IBM Watson
- 10.4.1. Company Overview
- 10.4.2. Financial Performance
- 10.4.3. Component Benchmarking
- 10.4.4. Recent Development
- 10.5. Microsoft Corporation
- 10.5.1. Company Overview
- 10.5.2. Financial Performance
- 10.5.3. Component Benchmarking
- 10.5.4. Recent Development
- 10.6. Neuralink Corporation
- 10.6.1. Company Overview
- 10.6.2. Financial Performance
- 10.6.3. Component Benchmarking
- 10.6.4. Recent Development
- 10.7. NioyaTech
- 10.7.1. Company Overview
- 10.7.2. Financial Performance
- 10.7.3. Component Benchmarking
- 10.7.4. Recent Development
- 10.8. OpenAI
- 10.8.1. Company Overview
- 10.8.2. Financial Performance
- 10.8.3. Component Benchmarking
- 10.8.4. Recent Development
- 10.9. Oracle
- 10.9.1. Company Overview
- 10.9.2. Financial Performance
- 10.9.3. Component Benchmarking
- 10.9.4. Recent Development
List of Tables
- Table 1 U.S. Healthcare Generative AI Market, by Component, 2019-2032 (USD Million)
- Table 2 U.S. Healthcare Generative AI Market, by End-Use, 2019-2032 (USD Million)
- Table 3 U.S. Healthcare Generative AI Market, by Application, 2019-2032 (USD Million)
- Table 4 U.S. Healthcare Generative AI Market, by Function, 2019-2032 (USD Million)
List of Figures
- Figure 1 U.S. Healthcare Generative AI Market, 2019-2032 (USD Million)
- Figure 2 Integrated Ecosystem
- Figure 3 Research Methodology: Top-Down & Bottom-Up Approach
- Figure 4 Market by Countries
- Figure 5 Porter's Five Forces
- Figure 6 Market by Application
- Figure 7 U.S. Healthcare Generative AI Market, by Application, 2021 & 2030 (USD Million)
- Figure 8 Market by Component
- Figure 9 U.S. Healthcare Generative AI Market, by Component, 2021 & 2030 (USD Million)
- Figure 10 Market by Function
- Figure 11 U.S. Healthcare Generative AI Market, by Function, 2021 & 2030 (USD Million)
- Figure 11 Market by End-Use
- Figure 12 U.S. Healthcare Generative AI Market, by End-Use, 2021 & 2030 (USD Million)
- Figure 13 U.S. Healthcare Generative AI Market Assessment, By Countries, 2019-2032 (USD Million)
- Figure 14 Strategic Analysis - U.S. Healthcare Generative AI Market
