June 10, 2024

Generative AI in Healthcare Market Size To Gain USD 21.74 Billion by 2032

The generative AI in healthcare market size is poised to grow by USD 21.74 billion by 2032 from USD 1.07  billion in 2022, exhibiting a CAGR of 35.14% during the forecast period 2023-2032. 

Generative AI in Healthcare Market Size 2023 To 2032

Key Takeaways:

  • North America contributed more than 37% of the revenue share in 2022.
  • Asia Pacific will witness significant growth during the forecast period.
  • By application, the clinical segment is expected to grow at a significant rate during the forecast period.
  • By function, the image analysis segment is predicted to dominate the market with the largest share during the forecast period.
  • By end-user, the diagnostic centers’ segment is expected to lead the market in the analyzed timeframe.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Generative AI in healthcare market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Generative AI in healthcare Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

Get a Sample Reporthttps://www.precedenceresearch.com/sample/3099

Generative AI in Healthcare Market Report Scope

Report Coverage Details
Market Size in 2023 USD 1.45 Billion
Market Size by 2032 USD 21.74 Billion
Growth Rate from 2023 to 2032 CAGR of 35.14%
Largest Market North America
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Application, By Function, and By End User
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Read More: 3D Printing Medical Devices Market Size To Gain USD 17.76 Billion by 2032

The empirical study on the global Generative AI in healthcare market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Generative AI in healthcare Market. Our market report for the Generative AI in healthcare market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Top Key Players:

  • Syntegra
  • NioyaTech
  • Saxon
  • IBM Watson
  • Microsoft Corporation
  • Google LLC
  • Tencent Holdings Ltd.
  • Neuralink Corporation
  • Johnson & Johnson
  • OpenAI
  • Oracle

Data Sources and Methodology

To gather comprehensive insights on the Global Generative AI in healthcare Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Generative AI in healthcare Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Generative AI in healthcare market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Generative AI in Healthcare Market Segmentation:

By Application

  • Clinical
    • Cardiovascular
    • Dermatology
    • Infectious Disease
    • Oncology
    • Others
  • System
    • Disease Diagnosis
    • Telemedicine
    • Electronic Health Records
    • Drug Interaction

By Function

  • AI-Assisted Robotic Surgery
  • Virtual Nursing Assistants
  • Aid Clinical Judgment/Diagnosis
  • Workflow & Administrative Tasks
  • Image Analysis

By End User

  • Hospitals & Clinics
  • Clinical Research
  • Healthcare Organizations
  • Diagnostic Centers
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Generative AI in healthcare market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Generative AI in healthcare market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Generative AI in healthcare market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Generative AI in healthcare market but also the strategic plans of industry leaders.

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in Healthcare Market 

5.1. COVID-19 Landscape: Generative AI in Healthcare Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in Healthcare Market, By Application

8.1. Generative AI in Healthcare Market, by Application, 2023-2032

8.1.1 Clinical

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. System

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Generative AI in Healthcare Market, By Function

9.1. Generative AI in Healthcare Market, by Function, 2023-2032

9.1.1. AI-Assisted Robotic Surgery

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Virtual Nursing Assistants

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Aid Clinical Judgment/Diagnosis

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Workflow & Administrative Tasks

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Image Analysis

9.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Generative AI in Healthcare Market, By End User 

10.1. Generative AI in Healthcare Market, by End User, 2023-2032

10.1.1. Hospitals & Clinics

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Clinical Research

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Healthcare Organizations

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Diagnostic Centers

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Others

10.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Generative AI in Healthcare Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Application (2020-2032)

11.1.2. Market Revenue and Forecast, by Function (2020-2032)

11.1.3. Market Revenue and Forecast, by End User (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.1.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.1.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Application (2020-2032)

11.2.2. Market Revenue and Forecast, by Function (2020-2032)

11.2.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.2.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.2.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Application (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Function (2020-2032)

11.2.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Application (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Function (2020-2032)

11.2.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Application (2020-2032)

11.3.2. Market Revenue and Forecast, by Function (2020-2032)

11.3.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.3.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.3.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Application (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Function (2020-2032)

11.3.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Application (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Function (2020-2032)

11.3.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.4.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.4.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Application (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Function (2020-2032)

11.4.6.3. Market Revenue and Forecast, by End User (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Application (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Function (2020-2032)

11.4.7.3. Market Revenue and Forecast, by End User (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.5.3. Market Revenue and Forecast, by End User (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Application (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Function (2020-2032)

11.5.4.3. Market Revenue and Forecast, by End User (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Application (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Function (2020-2032)

11.5.5.3. Market Revenue and Forecast, by End User (2020-2032)

Chapter 12. Company Profiles

12.1. Syntegra

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. NioyaTech

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Saxon

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. IBM Watson

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Microsoft Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Google LLC

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Tencent Holdings Ltd.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Neuralink Corporation

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Johnson & Johnson

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. OpenAI

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

About Us:

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