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醫療保健領域的生成式人工智慧市場規模、佔有率、趨勢分析報告：按組件、按功能、按最終用途、按應用、按地區、細分市場預測，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個工作天內

價格

生成式人工智慧市場成長與醫療保健趨勢：

Grand View Research, Inc. 的最新報告顯示，到 2030 年，醫療保健領域生成式人工智慧的全球市場規模預計將達到 147.7 億美元。

預計2023年至2030年該市場將以36.7%的複合年成長率成長。醫學中的生成模型透過產生高解析度醫學影像來提高診斷準確性。這些人工智慧驅動的模型擅長產生複雜的影像，幫助檢測和診斷癌症、病變和異常等重大疾病。增強的影像品質使醫療專業人員能夠更有效地識別細微的異常情況。此外，生成和模型的效率和速度加快了診斷過程，從而可以快速介入並改善患者的治療結果。

生成式人工智慧用於藥物研發發現，以創造新化合物並最佳化現有化合物，從而加快藥物開發時間。此外，它還有助於預測藥物特性和潛在副作用，為製藥業的資訊決策提供寶貴的見解。例如，史丹佛大學研究人員創建的開源平台 DeepChem 採用生成模型和機器學習來推動藥物研發計算化學的進步。 DeepChem 提供各種工具和模型來最佳化和分析分子化合物，適用於醫療和製藥行業的各種應用。

生成式人工智慧將徹底改變醫療保健，並實現向個人化醫療的重大轉變。透過利用個人的遺傳資料和健康史，產生人工智慧演算法可以創建量身定做的治療計劃和藥物。這種創新方法可確保醫療干預措施根據個人獨特的遺傳和健康狀況精確客製化，從而最大限度地提高治療效果並最大限度地減少副作用。生成式人工智慧客製化醫療干預措施的潛力代表了醫療保健領域的關鍵進步，有望為每個人最佳化和個人化治療，最終改善整體醫療保健結果。

北美生成式人工智慧在醫療保健市場的地位已顯著增強，並呈現出顯著的井噴式成長。人工智慧和機器學習的進步，特別是生成和建模方面的進步，正在推動醫學領域的應用。從產生用於準確診斷的醫學影像，到支援藥物研發過程，再到根據個人基因圖譜個體化治療計劃，生成式人工智慧的潛力正在被積極探索和採用。研究機構、醫療機構和科技公司之間的合作、大量的創業投資資金籌措和支持性的法律規範正在進一步支持生成式人工智慧融入各個醫療領域。對個人化醫療的需求和創新的動力是推動北美醫療保健領域產生人工智慧顯著成長的主要因素。

醫療保健市場中的生成式人工智慧報告亮點

  • 按功能分類，醫學影像分析領域將佔據主導地位，到 2022 年將佔據 28.9% 的銷售額佔有率。生成對抗網路（GAN）和變分自動編碼器（VAE）等生成模型已顯示出生成高保真醫學影像的巨大潛力。
  • 按最終用途分類，臨床研究領域佔據市場主導地位，2022 年銷售佔有率為 29.3%。生成式人工智慧在支援和加速臨床研究的許多方面顯示出巨大的潛力，包括藥物研發、最佳化臨床試驗設計、預測分析和最佳化研究方法。
  • 製藥業繼續採用生成式人工智慧進行藥物研發和藥物開發。人工智慧主導的生成和模型加速了識別潛在候選藥物和最佳化現有候選藥物的過程，減少了新藥上市的時間和成本。
  • 生成式人工智慧透過逼真的虛擬模擬正在徹底改變醫療訓練。它有助於創建逼真的患者頭像和互動式手術場景，在無風險的環境中提高醫療專業人員的技能。

目錄

第1章 調查方法和範圍

第2章 執行摘要

第3章 醫療保健市場中的產生人工智慧變數、趨勢和範圍

  • 市場體系展望
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素分析
    • 產業挑戰
  • 醫療市場分析工具中的生成式人工智慧
    • 產業分析-波特五力分析
    • PESTEL分析
  • 用例分析

第4章 醫療市場中的生成式人工智慧：成分估計與趨勢分析

  • 細分儀表板
  • 醫療保健領域的生成式人工智慧市場：組件變化分析，百萬美元，2022 年和 2030 年
  • 解決方案
  • 服務

第5章 醫療市場中的生成式人工智慧：功能估計和趨勢分析

  • 細分儀表板
  • 醫療保健領域的生成式人工智慧市場：功能變異分析，百萬美元，2022 年和 2030 年
  • 虛擬護理助理
  • 機器人輔助AI手術
  • 管理流程最佳化
  • 醫療圖像分析

第6章 醫療市場中的生成式人工智慧：最終用途估計和趨勢分析

  • 細分儀表板
  • 醫療保健領域的生成式人工智慧市場：最終用途變化分析，百萬美元，2022 年和 2030 年
  • 臨床調查
  • 醫療中心
  • 診斷中心
  • 其他

第7章 醫療保健領域的生成式人工智慧市場：應用評估與趨勢分析

  • 細分儀表板
  • 醫療保健領域的生成式人工智慧市場：應用變化分析，百萬美元，2022 年和 2030 年
  • 臨床
  • 系統

第8章 醫療保健中的生成式人工智慧市場：區域估計和趨勢分析

  • 2022 年和 2030 年醫療保健領域的生成式 AI市場佔有率（按地區）（百萬美元）
  • 北美洲
    • 2017-2030 年北美醫療保健領域生成式 AI 市場估計與預測
    • 美國
    • 加拿大
  • 歐洲
    • 2017-2030 年歐洲醫療保健領域生成式 AI 市場估計與預測
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 2017-2030 年亞太地區醫療保健領域生成式 AI 市場估計與預測
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 2017-2030 年拉丁美洲醫療保健領域生成式 AI 市場估計與預測
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 2017-2030 年中東和非洲醫療保健領域的生成式 AI 市場估計和預測
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第9章 競爭形勢

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 企業熱力圖分析
  • 策略規劃
  • 公司簡介/名單
    • 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