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市场调查报告书
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医疗保健领域的生成式人工智慧市场规模、份额、趋势分析报告：按组件、按功能、按最终用途、按应用、按地区、细分市场预测，2023-2030 年

Generative AI In Healthcare Market Size, Share & Trends Analysis Report By Component (Software, Service), By Function (Virtual Nursing Assistants, Robot-Assisted AI Surgery), By End-use, By Application, By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

生成式人工智慧市场成长与医疗保健趋势：

Grand View Research, Inc. 的最新报告显示，到 2030 年，医疗保健领域生成式人工智慧的全球市场规模预计将达到 147.7 亿美元。

预计2023年至2030年该市场将以36.7%的复合年增长率成长。医学中的生成模型透过产生高解析度医学影像来提高诊断准确性。这些人工智慧驱动的模型擅长产生复杂的影像，帮助检测和诊断癌症、病变和异常等重大疾病。增强的影像品质使医疗专业人员能够更有效地识别细微的异常情况。此外，生成和模型的效率和速度加快了诊断过程，从而可以快速介入并改善患者的治疗结果。

生成式人工智慧用于药物研发发现，以创造新化合物并最佳化现有化合物，从而加快药物开发时间。此外，它还有助于预测药物特性和潜在副作用，为製药业的资讯决策提供宝贵的见解。例如，史丹佛大学研究人员创建的开源平台 DeepChem 采用生成模型和机器学习来推动药物研发计算化学的进步。 DeepChem 提供各种工具和模型来最佳化和分析分子化合物，适用于医疗和製药行业的各种应用。

生成式人工智慧将彻底改变医疗保健，并实现向个人化医疗的重大转变。透过利用个人的遗传资料和健康史，产生人工智慧演算法可以创建量身定制的治疗计划和药物。这种创新方法可确保医疗干预措施根据个人独特的遗传和健康状况精确定制，从而最大限度地提高治疗效果并最大限度地减少副作用。生成式人工智慧客製化医疗干预措施的潜力代表了医疗保健领域的关键进步，有望为每个人最佳化和个人化治疗，最终改善整体医疗保健结果。

北美生成式人工智慧在医疗保健市场的地位已显着增强，并呈现出显着的井喷式成长。人工智慧和机器学习的进步，特别是生成和建模方面的进步，正在推动医学领域的应用。从产生用于准确诊断的医学影像，到支援药物研发过程，再到根据个人基因图谱个体化治疗计划，生成式人工智慧的潜力正在被积极探索和采用。研究机构、医疗机构和科技公司之间的合作、大量的创业投资资金筹措和支持性的法律规范正在进一步支持生成式人工智慧融入各个医疗领域。对个人化医疗的需求和创新的动力是推动北美医疗保健领域产生人工智慧显着成长的主要因素。

医疗保健市场中的生成式人工智慧报告亮点

  • 按功能划分，医学影像分析领域将占据主导地位，到 2022 年将占据 28.9% 的销售额份额。生成对抗网路（GAN）和变分自动编码器（VAE）等生成模型已显示出生成高保真医学影像的巨大潜力。
  • 按最终用途划分，临床研究领域占据市场主导地位，2022 年销售份额为 29.3%。生成式人工智慧在支援和加速临床研究的许多方面显示出巨大的潜力，包括药物研发、最佳化临床试验设计、预测分析和最佳化研究方法。
  • 製药业继续采用生成式人工智慧进行药物研发和药物开发。人工智慧主导的生成和模型加速了识别潜在候选药物和最佳化现有候选药物的过程，减少了新药上市的时间和成本。
  • 生成式人工智慧透过逼真的虚拟模拟正在彻底改变医疗训练。它有助于创建逼真的患者头像和互动式手术场景，在无风险的环境中提高医疗专业人员的技能。

目录

第1章调查方法和范围

第2章执行摘要

第3章医疗保健市场中的产生人工智慧变数、趋势和范围

  • 市场体系展望
  • 市场动态
    • 市场驱动因素分析
    • 市场抑制因素分析
    • 产业挑战
  • 医疗市场分析工具中的生成式人工智慧
    • 产业分析-波特五力分析
    • PESTEL分析
  • 用例分析

第4章医疗市场中的生成式人工智慧：成分估计与趋势分析

  • 细分仪表板
  • 医疗保健领域的生成式人工智慧市场：组件变化分析，百万美元，2022 年和 2030 年
  • 解决方案
  • 服务

第5章医疗市场中的生成式人工智慧：功能估计和趋势分析

  • 细分仪表板
  • 医疗保健领域的生成式人工智慧市场：功能变异分析，百万美元，2022 年和 2030 年
  • 虚拟护理助理
  • 机器人辅助AI手术
  • 管理流程最佳化
  • 医疗图像分析

第6章医疗市场中的生成式人工智慧：最终用途估计和趋势分析

  • 细分仪表板
  • 医疗保健领域的生成式人工智慧市场：最终用途变化分析，百万美元，2022 年和 2030 年
  • 临床调查
  • 医疗中心
  • 诊断中心
  • 其他的

第7章医疗保健领域的生成式人工智慧市场：应用评估与趋势分析

  • 细分仪表板
  • 医疗保健领域的生成式人工智慧市场：应用变化分析，百万美元，2022 年和 2030 年
  • 临床
  • 系统

第8章医疗保健中的生成式人工智慧市场：区域估计和趋势分析

  • 2022 年和 2030 年医疗保健领域的生成式 AI市场占有率（按地区）（百万美元）
  • 北美洲
    • 2017-2030 年北美医疗保健领域生成式 AI 市场估计与预测
    • 美国
    • 加拿大
  • 欧洲
    • 2017-2030 年欧洲医疗保健领域生成式 AI 市场估计与预测
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 2017-2030 年亚太地区医疗保健领域生成式 AI 市场估计与预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 2017-2030 年拉丁美洲医疗保健领域生成式 AI 市场估计与预测
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 2017-2030 年中东和非洲医疗保健领域的生成式 AI 市场估计和预测
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第9章竞争形势

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 企业热力图分析
  • 策略规划
  • 公司简介/名单
    • Google LLC
    • IBM Watson
    • Johnson &Johnson
    • Microsoft Corporation
    • Neuralink Corporation
    • NioyaTech
    • OpenAI
    • Oracle
    • Saxon
    • Syntegra
    • Tencent Holdings Ltd
Product Code: GVR-4-68040-135-7

Generative AI In Healthcare Market Growth & Trends:

The global generative AI in healthcare market size is expected to reach USD 14.77 billion by 2030, according to a new report by Grand View Research, Inc.. The market is anticipated to grow at a compound annual growth rate (CAGR) of 36.7% from 2023 to 2030. Generative models in healthcare are advancing diagnostic accuracy by generating high-resolution medical images. These AI-powered models excel at producing intricate imaging, aiding in the detection and diagnosis of critical diseases like cancer, lesions, and abnormalities. The enhanced image quality enables healthcare professionals to identify subtle anomalies more effectively. Moreover, the efficiency and speed of generative models expedite the diagnostic process, enabling prompt intervention and improved patient outcomes.

Generative AI is utilized in drug discovery to create new drug compounds or optimize the existing ones, accelerating the drug development timeline. Additionally, it assists in predicting drug properties and potential side effects, offering valuable insights for informed decision-making in the pharmaceutical industry. For instance, DeepChem, an open-source platform created by Stanford University researchers, employs generative models and machine learning to drive advancements in computational chemistry for drug discovery. DeepChem offers a range of tools and models to optimize and analyze molecular compounds, catering to diverse applications in healthcare and pharmaceutical industries.

Generative AI is a transformative force in healthcare, enabling a profound shift towards personalized medicine. By leveraging an individual's genetic data and health history, generative AI algorithms can craft tailor-made treatment plans and medications. This innovative approach ensures that medical interventions are precisely aligned with a person's unique genetic makeup and health circumstances, maximizing treatment efficacy and minimizing adverse effects. The potential of generative AI to customize healthcare interventions marks a pivotal advancement in medicine, promising a future where treatments are optimized and personalized for everyone, ultimately improving overall healthcare outcomes.

Generative AI's foothold in the healthcare market of North America has strengthened significantly, showcasing a notable surge in growth. Advances in artificial intelligence and machine learning, particularly generative models, have propelled their applications within healthcare. From generating medical images for accurate diagnostics to aiding drug discovery processes, and personalizing treatment plans based on individual genetic profiles, the potential of generative AI is being actively explored and adopted. Collaborations between research institutions, healthcare organizations, and technology firms, along with substantial venture capital funding and supportive regulatory frameworks, further fuel the integration of generative AI into various healthcare domains. The demand for personalized medicine and a drive towards innovation are key factors contributing to the remarkable growth of generative AI in the healthcare sector throughout North America.

Generative AI In Healthcare Market Report Highlights:

  • Based on function, the medical imaging analysis segment dominated with a revenue share of 28.9% in 2022. Generative models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), have shown significant promise in generating high-fidelity medical images
  • Based on end-use, the clinical research segment dominated the market with a revenue share of 29.3% in 2022. Generative AI has demonstrated substantial potential in assisting and expediting various aspects of clinical research like drug discovery, optimization of clinical trial designs, predictive analytics, and optimizing research processes
  • The pharmaceutical industry continued to embrace generative AI for drug discovery and development. AI-driven generative models accelerated the process of identifying potential drug candidates and optimizing existing ones, reducing the time and cost associated with bringing new medications to market
  • Generative AI is revolutionizing healthcare training with realistic virtual simulations. It helps create lifelike patient avatars and interactive surgical scenarios, enhancing the skills of healthcare professionals in a risk-free environment

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. Market Formulation & Validation
  • 1.7. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. Generative AI in Healthcare Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
    • 3.2.2. Market Restraint Analysis
    • 3.2.3. Industry Challenge
  • 3.3. Generative AI in Healthcare Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political Landscape
      • 3.3.2.2. Economic Landscape
      • 3.3.2.3. Social Landscape
      • 3.3.2.4. Technology Landscape
      • 3.3.2.5. Environmental Landscape
      • 3.3.2.6. Legal Landscape
  • 3.4. Use Cases Analysis

Chapter 4. Generative AI in Healthcare Market: Component Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. Generative AI in Healthcare Market: Component Movement Analysis, USD Million, 2022 & 2030
  • 4.3. Solutions
    • 4.3.1. Solutions Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 4.4. Services
    • 4.4.1. Services Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 5. Generative AI in Healthcare Market: Function Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. Generative AI in Healthcare Market: Function Movement Analysis, USD Million, 2022 & 2030
  • 5.3. Virtual Nursing Assistants
    • 5.3.1. Virtual Nursing Assistants Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.4. Robot-Assisted AI Surgery
    • 5.4.1. Robot-Assisted AI Surgery Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.5. Administrative Process Optimization
    • 5.5.1. Administrative Process Optimization Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 5.6. Medical Imaging Analysis
    • 5.6.1. Medical Imaging Analysis Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 6. Generative AI in Healthcare Market: End-use Estimates & Trend Analysis

  • 6.1. Segment Dashboard
  • 6.2. Generative AI in Healthcare Market: End-use Movement Analysis, USD Million, 2022 & 2030
  • 6.3. Clinical Research
    • 6.3.1. Clinical Research Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.4. Medical Centers
    • 6.4.1. Medical Centers Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.5. Diagnostic Centers
    • 6.5.1. Diagnostic Centers Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 6.6. Others
    • 6.6.1. Others Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 7. Generative AI in Healthcare Market: Application Estimates & Trend Analysis

  • 7.1. Segment Dashboard
  • 7.2. Generative AI in Healthcare Market: Application Movement Analysis, USD Million, 2022 & 2030
  • 7.3. Clinical
    • 7.3.1. Clinical Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 7.4. System
    • 7.4.1. System Market Revenue Estimates and Forecasts, 2017 - 2030 (USD Million)

Chapter 8. Generative AI in Healthcare Market: Regional Estimates & Trend Analysis

  • 8.1. Generative AI in Healthcare Market Share, By Region, 2022 & 2030, USD Million
  • 8.2. North America
    • 8.2.1. North America Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.2. U.S.
      • 8.2.2.1. U.S. Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.2.3. Canada
      • 8.2.3.1. Canada Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.3. Europe
    • 8.3.1. Europe Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.2. U.K.
      • 8.3.2.1. U.K. Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.3. Germany
      • 8.3.3.1. Germany Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.3.4. France
      • 8.3.4.1. France Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.4. Asia Pacific
    • 8.4.1. Asia Pacific Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.2. China
      • 8.4.2.1. China Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.3. Japan
      • 8.4.3.1. Japan Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.4. India
      • 8.4.4.1. India Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.5. South Korea
      • 8.4.5.1. South Korea Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.4.6. Australia
      • 8.4.6.1. Australia Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.5. Latin America
    • 8.5.1. Latin America Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.2. Brazil
      • 8.5.2.1. Brazil Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.5.3. Mexico
      • 8.5.3.1. Mexico Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
  • 8.6. Middle East and Africa
    • 8.6.1. Middle East and Africa Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
      • 8.6.1.1. (USD MILLION)
    • 8.6.2. KSA
      • 8.6.2.1. KSA Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.3. UAE
      • 8.6.3.1. UAE Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030 (USD Million)
    • 8.6.4. South Africa
      • 8.6.4.1. South Africa Generative AI in Healthcare Market Estimates and Forecasts, 2017 - 2030

Chapter 9. Competitive Landscape

  • 9.1. Company Categorization
  • 9.2. Company Market Positioning
  • 9.3. Participant's Overview
  • 9.4. Financial Performance
  • 9.5. Product Benchmarking
  • 9.6. Company Heat Map Analysis
  • 9.7. Strategy Mapping
  • 9.8. Company Profiles/Listing
    • 9.8.1. Google LLC
    • 9.8.2. IBM Watson
    • 9.8.3. Johnson & Johnson
    • 9.8.4. Microsoft Corporation
    • 9.8.5. Neuralink Corporation
    • 9.8.6. NioyaTech
    • 9.8.7. OpenAI
    • 9.8.8. Oracle
    • 9.8.9. Saxon
    • 9.8.10. Syntegra
    • 9.8.11. Tencent Holdings Ltd

List of Tables

  • Table 1 Global Generative AI in Healthcare market by Component, 2017 - 2030 (USD Million)
  • Table 2 Global Generative AI in Healthcare market by Function, 2017 - 2030 (USD Million)
  • Table 3 Global Generative AI in Healthcare market by End-use, 2017 - 2030 (USD Million)
  • Table 3 Global Generative AI in Healthcare market by Application, 2017 - 2030 (USD Million)
  • Table 4 Global Generative AI in Healthcare market by Region, 2017 - 2030 (USD Million)
  • Table 5 North America Generative AI in Healthcare market by country, 2017 - 2030 (USD Million)
  • Table 6 Europe Generative AI in Healthcare market by country, 2017 - 2030 (USD Million)
  • Table 7 Asia Pacific Generative AI in Healthcare market by country, 2017 - 2030 (USD Million)
  • Table 8 Latin America Generative AI in Healthcare market by country, 2017 - 2030 (USD Million)
  • Table 9 MEA Generative AI in Healthcare market by country, 2017 - 2030 (USD Million)
  • Table 10 Key companies launching new products/services
  • Table 11 Key companies engaged in mergers & acquisition
  • Table 12 Key companies engaged in Research & development
  • Table 13 Key Companies engaged in expansion

List of Figures

  • Fig. 1 Generative AI in Healthcare Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 QFD modeling for market share assessment
  • Fig. 8 Parent market analysis
  • Fig. 9 Market formulation & validation
  • Fig. 10 Generative AI in Healthcare market snapshot
  • Fig. 11 Generative AI in Healthcare market segment snapshot
  • Fig. 12 Generative AI in Healthcare market competitive landscape snapshot
  • Fig. 13 Market research process
  • Fig. 14 Market driver relevance analysis (Current & future impact)
  • Fig. 15 Market restraint relevance analysis (Current & future impact)
  • Fig. 16 Generative AI in Healthcare Market, Component outlook key takeaways (USD Million)
  • Fig. 17 Generative AI in Healthcare Market: Component movement analysis (USD Million), 2022 & 2030
  • Fig. 18 Solutions market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 19 Services market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 20 Generative AI in Healthcare Market: Function outlook key takeaways (USD Million)
  • Fig. 21 Generative AI in Healthcare Market: Function movement analysis (USD Million), 2022 & 2030
  • Fig. 22 Virtual Nursing Assistants market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 23 Robot-Assisted AI Surgery market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 24 Administrative Process Optimization market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 25 Medical Imaging Analysis market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 26 Generative AI in Healthcare Market: End-use outlook key takeaways (USD Million)
  • Fig. 27 Generative AI in Healthcare Market: End-use movement analysis (USD Million), 2022 & 2030
  • Fig. 28 Clinical Research market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 29 Medical Centers market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 30 Diagnostic Centers market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 31 Others market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 32 Generative AI in Healthcare Market: Application outlook key takeaways (USD Million)
  • Fig. 33 Generative AI in Healthcare Market: Application movement analysis (USD Million), 2022 & 2030
  • Fig. 34 Clinical market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 35 System market revenue estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 36 Regional marketplace: Key takeaways
  • Fig. 37 Generative AI in Healthcare Market: Regional outlook, 2022 & 2030, USD Million
  • Fig. 38 North America Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 39 U.S. Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 40 Canada Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 41 Europe Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 42 UK Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 43 Germany Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 44 France Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 45 Asia Pacific Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 46 China Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 47 Japan Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 48 India Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 49 South Korea Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 50 Australia Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 51 Latin America Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 52 Brazil Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 53 Mexico Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 54 MEA Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 55 KSA Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 56 UAE Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 57 South Africa Generative AI in Healthcare market estimates and forecasts, 2017 - 2030 (USD Million)
  • Fig. 58 Strategy framework
  • Fig. 59 Company Categorization