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市场调查报告书
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1527325

全球产生人工智慧医疗保健市场规模研究，按应用程式（治疗、诊断、药物发现、研究）、最终用户（医院和诊所、医疗保健组织等）以及 2022-2032 年区域预测

Global Generative AI in Healthcare Market Size study, by Application (Treatment, Diagnosis, Drug Discovery, Research), by End User (Hospitals and Clinics, Healthcare Organizations, Others), and Regional Forecasts 2022-2032
出版日期: | 出版商: Bizwit Research & Consulting LLP | 英文 285 Pages | 商品交期: 2-3个工作天内

价格
简介目录

医疗保健市场中的全球生成人工智慧到 2023 年价值约为 21.6 亿美元，预计在 2024 年至 2032 年的预测期内将以 34.98% 的复合年增长率增长。医疗保健领域的生成人工智慧 (AI) 代表了创新前沿，利用先进的深度学习演算法来产生有价值的输出，例如医学影像、文字摘要和新型药物化合物。该技术在加强患者护理、加速研究和简化营运效率方面显示出了变革潜力。特别是，生成式人工智慧在自然语言处理方面表现出色，透过总结和解释大量临床文献来帮助医疗保健专业人员，从而使他们了解最新的研究进展。此外，人工智慧驱动的药物发现彻底改变了潜在药物化合物的识别，显着缩短了开发新疗法的时间。

全球医疗保健市场中的生成式人工智慧是由生成式人工智慧技术在医学影像分析中的迅速采用所推动的，其在药物发现和开发中的不可或缺的作用是市场成长的关键驱动力。这项先进技术利用复杂的演算法和机器学习模型来产生高品质的医学影像，增强影像分辨率，并协助各种医疗状况的早期检测和诊断。生成式人工智慧提高医学影像分析的准确性和效率的能力正在改变诊断实​​践，使医疗保健专业人员能够做出更明智的决策并提供更好的患者护理。此外，生成式人工智慧在医疗保健中的整合正在促进个人化医疗、预测分析和治疗计划的创新，进一步推动市场扩张。此外，在医院工作流程管理系统中部署生成式人工智慧有望促进市场扩张。然而，与资料隐私和安全相关的挑战对生成式人工智慧在医疗保健领域的广泛实施构成了重大障碍。

全球生成人工智慧医疗保健市场研究考虑的关键区域包括亚太地区、北美、欧洲、拉丁美洲和世界其他地区。 2023 年，北美凭藉其强大的医疗基础设施和主要行业参与者的强大影响力，占据了市场份额。此外，在有利的政府措施和庞大的患者群体的推动下，预计亚太地区在预测期内将出现最快的成长。

本报告中介绍的主要市场参与者包括

辛特格拉

微软

Abridge人工智慧公司

谷歌有限责任公司

IBM 沃森健康公司

InSilico 医学

英伟达公司

亚马逊

甲骨文

开放人工智慧公司

目录

第 1 章：医疗保健市场中的全球生成式人工智慧执行摘要

  • 全球生成式人工智慧在医疗保健市场规模及预测（2022-2032）
  • 区域概要
  • 分部摘要
    • 按申请
    • 按最终用户
  • 主要趋势
  • 经济衰退的影响
  • 分析师推荐与结论

第 2 章：全球医疗保健市场产生人工智慧的定义与研究假设

  • 研究目的
  • 市场定义
  • 研究假设
    • 包容与排除
    • 限制
    • 供给侧分析
      • 可用性
      • 基础设施
      • 监管环境
      • 市场竞争
      • 经济可行性（消费者的角度）
    • 需求面分析
      • 监理框架
      • 技术进步
      • 环境考虑
      • 消费者意识和接受度
  • 估算方法
  • 研究考虑的年份
  • 货币兑换率

第 3 章：医疗保健市场动态中的全球生成式人工智慧

  • 市场驱动因素
    • 越来越多采用人工智慧进行医学影像分析
    • 人工智慧驱动的药物发现过程的兴起
    • 透过人工智慧增强医院工作流程管理
  • 市场挑战
    • 资料隐私和安全问题
    • 实施成本高
  • 市场机会
    • 人工智慧研究投资不断增加
    • 新兴市场扩张
    • 人工智慧技术进步

第 4 章：全球医疗保健市场生成式人工智慧产业分析

  • 波特的五力模型
    • 供应商的议价能力
    • 买家的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争竞争
    • 波特五力模型的未来方法
    • 波特的 5 力影响分析
  • PESTEL分析
    • 政治的
    • 经济
    • 社会的
    • 技术性
    • 环境的
    • 合法的
  • 顶级投资机会
  • 最佳制胜策略
  • 颠覆性趋势
  • 产业专家视角
  • 分析师推荐与结论

第 5 章：全球医疗保健市场产生人工智慧市场规模与预测：按应用分类 - 2022-2032

  • 细分仪表板
  • 全球医疗保健市场生成式人工智慧：2022 年和 2032 年应用收入趋势分析
    • 治疗
    • 诊断
    • 药物发现
    • 研究

第 6 章：全球医疗保健市场生成人工智慧市场规模和预测：按最终用户划分 - 2022-2032

  • 细分仪表板
  • 医疗保健市场的全球生成式人工智慧：2022 年和 2032 年最终用户收入趋势分析
    • 医院和诊所
    • 医疗机构
    • 其他的

第 7 章：全球医疗保健市场产生人工智慧市场规模与预测：按地区 - 2022-2032

  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 西班牙
    • 义大利
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 中东和非洲其他地区

第 8 章：竞争情报

  • 重点企业SWOT分析
  • 顶级市场策略
  • 公司简介
    • Syntegra
      • 关键讯息
      • 概述
      • 财务（视数据可用性而定）
      • 产品概要
      • 市场策略
    • Microsoft
    • Abridge AI Inc.
    • Google LLC
    • IBM Watson Health Corporation
    • InSilico Medicine
    • NVIDIA Corporation
    • Amazon
    • Oracle
    • Open AI Inc.

第 9 章：研究过程

  • 研究过程
    • 资料探勘
    • 分析
    • 市场预测
    • 验证
    • 出版
  • 研究属性
简介目录

Global Generative AI in Healthcare Market, valued at approximately USD 2.16 billion in 2023, is anticipated to grow with an impressive CAGR of 34.98% over the forecast period 2024-2032. Generative artificial intelligence (AI) in healthcare represents a frontier of innovation, utilizing advanced deep learning algorithms to produce valuable outputs such as medical images, textual summaries, and novel drug compounds. This technology has shown transformative potential in enhancing patient care, accelerating research, and streamlining operational efficiencies. In particular, generative AI excels in natural language processing, assisting healthcare professionals by summarizing and interpreting extensive clinical literature, thereby keeping them abreast of the latest research developments. Additionally, AI-driven drug discovery has revolutionized the identification of potential pharmaceutical compounds, significantly reducing the timeline for developing new treatments and therapies.

The Global Generative AI in Healthcare Market is driven by burgeoning adoption of generative AI technology for medical image analysis and its integral role in drug discovery and development are pivotal drivers of market growth. This advanced technology leverages sophisticated algorithms and machine learning models to generate high-quality medical images, enhance image resolution, and assist in the early detection and diagnosis of various medical conditions. The ability of generative AI to improve the accuracy and efficiency of medical image analysis is transforming diagnostic practices, enabling healthcare professionals to make more informed decisions and provide better patient care. Additionally, the integration of generative AI in healthcare is fostering innovations in personalized medicine, predictive analytics, and treatment planning, further propelling market expansion. Furthermore, the deployment of generative AI in hospital workflow management systems is poised to enhance market expansion. However, challenges related to data privacy and security present significant obstacles to the widespread implementation of generative AI in healthcare.

The key regions considered for Global Generative AI in Healthcare Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the market share, attributed to its robust healthcare infrastructure and the strong presence of key industry players. Furthermore, the Asia-Pacific region is projected to witness the fastest growth during the forecast period, driven by favorable government initiatives and a large patient population base.

Major market players featured in this report include

Syntegra

Microsoft

Abridge AI Inc.

Google LLC

IBM Watson Health Corporation

InSilico Medicine

NVIDIA Corporation

Amazon

Oracle

Open AI Inc

The detailed segments and sub-segment of the market are explained below:

By Application

  • Treatment
  • Diagnosis
  • Drug Discovery
  • Research

By End User

  • Hospitals and Clinics
  • Healthcare Organizations
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2022
  • Base year - 2023
  • Forecast period - 2024 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Generative AI in Healthcare Market Executive Summary

  • 1.1. Global Generative AI in Healthcare Market Size & Forecast (2022-2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Application
    • 1.3.2. By End User
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Generative AI in Healthcare Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Generative AI in Healthcare Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing adoption of AI for medical image analysis
    • 3.1.2. Rise in AI-driven drug discovery processes
    • 3.1.3. Enhanced hospital workflow management through AI
  • 3.2. Market Challenges
    • 3.2.1. Data privacy and security concerns
    • 3.2.2. High implementation costs
  • 3.3. Market Opportunities
    • 3.3.1. Growing investments in AI research
    • 3.3.2. Expansion in emerging markets
    • 3.3.3. Technological advancements in AI

Chapter 4. Global Generative AI in Healthcare Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Generative AI in Healthcare Market Size & Forecasts by Application 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Generative AI in Healthcare Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Treatment
    • 5.2.2. Diagnosis
    • 5.2.3. Drug Discovery
    • 5.2.4. Research

Chapter 6. Global Generative AI in Healthcare Market Size & Forecasts by End User 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Generative AI in Healthcare Market: End User Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Hospitals and Clinics
    • 6.2.2. Healthcare Organizations
    • 6.2.3. Others

Chapter 7. Global Generative AI in Healthcare Market Size & Forecasts by Region 2022-2032

  • 7.1. North America Generative AI in Healthcare Market
    • 7.1.1. U.S. Generative AI in Healthcare Market
      • 7.1.1.1. Application breakdown size & forecasts, 2022-2032
      • 7.1.1.2. End User breakdown size & forecasts, 2022-2032
    • 7.1.2. Canada Generative AI in Healthcare Market
  • 7.2. Europe Generative AI in Healthcare Market
    • 7.2.1. U.K. Generative AI in Healthcare Market
    • 7.2.2. Germany Generative AI in Healthcare Market
    • 7.2.3. France Generative AI in Healthcare Market
    • 7.2.4. Spain Generative AI in Healthcare Market
    • 7.2.5. Italy Generative AI in Healthcare Market
    • 7.2.6. Rest of Europe Generative AI in Healthcare Market
  • 7.3. Asia-Pacific Generative AI in Healthcare Market
    • 7.3.1. China Generative AI in Healthcare Market
    • 7.3.2. India Generative AI in Healthcare Market
    • 7.3.3. Japan Generative AI in Healthcare Market
    • 7.3.4. Australia Generative AI in Healthcare Market
    • 7.3.5. South Korea Generative AI in Healthcare Market
    • 7.3.6. Rest of Asia Pacific Generative AI in Healthcare Market
  • 7.4. Latin America Generative AI in Healthcare Market
    • 7.4.1. Brazil Generative AI in Healthcare Market
    • 7.4.2. Mexico Generative AI in Healthcare Market
    • 7.4.3. Rest of Latin America Generative AI in Healthcare Market
  • 7.5. Middle East & Africa Generative AI in Healthcare Market
    • 7.5.1. Saudi Arabia Generative AI in Healthcare Market
    • 7.5.2. South Africa Generative AI in Healthcare Market
    • 7.5.3. Rest of Middle East & Africa Generative AI in Healthcare Market

Chapter 8. Competitive Intelligence

  • 8.1. Key Company SWOT Analysis
  • 8.2. Top Market Strategies
  • 8.3. Company Profiles
    • 8.3.1. Syntegra
      • 8.3.1.1. Key Information
      • 8.3.1.2. Overview
      • 8.3.1.3. Financial (Subject to Data Availability)
      • 8.3.1.4. Product Summary
      • 8.3.1.5. Market Strategies
    • 8.3.2. Microsoft
    • 8.3.3. Abridge AI Inc.
    • 8.3.4. Google LLC
    • 8.3.5. IBM Watson Health Corporation
    • 8.3.6. InSilico Medicine
    • 8.3.7. NVIDIA Corporation
    • 8.3.8. Amazon
    • 8.3.9. Oracle
    • 8.3.10. Open AI Inc.

Chapter 9. Research Process

  • 9.1. Research Process
    • 9.1.1. Data Mining
    • 9.1.2. Analysis
    • 9.1.3. Market Estimation
    • 9.1.4. Validation
    • 9.1.5. Publishing
  • 9.2. Research Attributes