Towards Healthcare
Generative AI in Healthcare Market Size and Trends Report (2023 - 2032)

Generative AI in Healthcare Market Size Envisioned at USD 21.74 Billion by 2032

The report covers Generative AI in Healthcare Market Analysis and Top Companies such as Syntegra, NioyaTech, Saxon, IBM Watson, Microsoft Corporation, Google LLC, Tencent Holdings Ltd., Neuralink Corporation, OpenAI and Oracle. These companies are leveraging advanced AI technologies to revolutionize healthcare across various regions, including North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa. The report offers the value (in USD Billion) for the above segments.

Introduction

  • Research Objective
  • Scope of the Study
  • Definition and Taxonomy

Research Methodology

  • Research Approach
  • Data Sources
  • Assumptions

Executive Summary

  • Synopsis
  • Analyst Recommendations

Market Overview 

  • Market Dynamics
    • Market Drivers
    • Market Restraints
    • Market Opportunities
  • Value Chain Analysis
    • Raw Material Sourcing
    • Manufacturing Process
    • Logistics & Transportation
    • Buyer Preferences
  • Trends
    • Market Trends
    • Technological Trends
  • Porter’s Five Forces Analysis
    • Bargaining Power of Suppliers
    • Bargaining Power of Buyers
    • Threat of Substitute
    • Threat of New Entrants
    • Degree of Competition
  • PESTLE Analysis for 5 Leading Countries
    • Regulatory Framework for Leading Countries/Regions
    • Supply Demand Analysis
    • Production & Consumption Statistics
    • Export Import Statistics
    • Price Trend Analysis

Global Generative AI in Healthcare Market Assessment

  • Overview
  • Global Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • Global Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • Global Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others
  • Global Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Geography (2021 – 2033)
    • North America
    • Europe
    • Asia-Pacific
    • Latin America
    • Middle East and Africa

North America Generative AI in Healthcare Market Assessment

  • Overview
  • North America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • North America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • North America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others

Europe Generative AI in Healthcare Market Assessment

  • Overview
  • Europe Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • Europe Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • Europe Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others

Asia-Pacific Generative AI in Healthcare Market Assessment

  • Overview
  • Asia-Pacific Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • Asia-Pacific Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • Asia-Pacific Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others

Latin America Generative AI in Healthcare Market Assessment

  • Overview
  • Latin America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • Latin America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • Latin America Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others

Middle East and Africa Generative AI in Healthcare Market Assessment

  • Overview
  • Middle East and Africa Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
    • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction
  • Middle East and Africa Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Function (2021 – 2033)
    • AI-Assisted Robotic Surgery
    • Virtual Nursing Assistants
    • Aid Clinical Judgment/Diagnosis
    • Workflow & Administrative Tasks
    • Image Analysis
  • Middle East and Africa Generative AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospitals & Clinics
    • Clinical Research
    • Healthcare Organizations
    • Diagnostic Centers
    • Others

Company Profiles

  • Syntegra
    • Company Overview
    • Geographic Footprints
    • Financial Performance
    • Product Portfolio
    • SWOT Analysis
    • R&D Efforts
    • Recent Developments & Strategic Collaborations
      • Product Launch/M&A/Technical Collaboration
  • NioyaTech
  • Saxon
  • IBM Watson
  • Microsoft Corporation
  • Google LLC
  • Tencent Holdings Ltd.
  • Neuralink Corporation
  • OpenAI
  • Oracle

Conclusion & Recommendations

  • Insight Code: 5069
  • No. of Pages: 150
  • Format: PDF/PPT/Excel
  • Published: May 2024
  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2022
  • Base Year: 2023
  • Estimated Years: 2024-2033

About The Author

Deepa has certified the degree of Master’s in Pharmacy in the Pharmaceutical Quality Assurance department from Dr D.Y. Patil College of Pharmacy. Her research is focused on the healthcare industry. She is the author or co-author of four Review Articles, which include Solid dispersion a strategic method for poorly soluble drugs and solubility improvement techniques for poorly soluble drugs, Herbal Drugs Used In Treatment Of Cataracts, Nano sponges And Their Application in Cancer Prevention and Ayurvedic Remedies of Peptic ulcer. She has also published a Research Article on the Formulation and Evaluation of Mucoadhesive Tablets of Miconazole cocrystal which was published in GIS Science Journal Volume 9 Issue 8. Her passion for secondary research and desire to take on the challenge of solving unresolved issues is making her flourish is the in the research sector.

FAQ's

Generative AI has the potential to revolutionize patient care and outcomes. By improving medical image analysis, it can aid clinicians in making more accurate and timely diagnoses, leading to better treatment decisions. In drug discovery, generative AI can expedite the identification of novel drug candidates, potentially accelerating the development of life-saving medications. Moreover, personalized treatment recommendations based on generative AI-generated patient data can lead to more tailored and effective healthcare interventions.

The future prospects of generative AI in healthcare are promising. As AI technologies continue to advance, generative AI is likely to become even more sophisticated and versatile. It is expected to play a significant role in precision medicine, drug development, disease prediction, and healthcare innovation. However, as the field evolves, addressing ethical concerns, regulatory challenges, and the integration of AI into clinical workflows will be critical for realizing the full potential of generative AI in improving patient care and healthcare outcomes.

Generative AI is being applied in various healthcare applications. For example, it can be used to create synthetic medical images to augment limited datasets, thereby enhancing the accuracy of medical imaging analysis. Additionally, generative AI is being explored in drug discovery to design novel molecules with desired properties and identify potential drug candidates. It is also used for generating synthetic patient data to protect sensitive information while still enabling research and development.

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