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市场调查报告书
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医疗保健分散式学习市场规模、份额、趋势分析报告：按应用、部署模式、最终用途、地区和细分市场预测，2025 年至 2030 年

Federated Learning In Healthcare Market Size, Share & Trends Analysis Report By Application, By Deployment Mode (On-premise, Cloud-based), By End-use, By Region, And Segment Forecasts, 2025 - 2030
出版日期: | 出版商: Grand View Research | 英文 200 Pages | 商品交期: 2-10个工作天内

价格

市场规模和趋势

预计 2024 年全球医疗保健分散式学习市场规模将达到 2,883 万美元，2025 年至 2030 年的复合年增长率为 16.0%。

分散式学习和区块链技术的整合作为安全和协作的人工智慧模型开发的有力工具，在医疗保健领域引起了广泛关注。分散式学习允许多个医疗机构根据敏感的患者资讯训练人工智慧模型，而无需直接共用这些数据，从而确保隐私得到维护。区块链技术透过提供可追踪分散式学习系统内所有互动的不可变帐本，增加了另一层安全性。这确保了资料交换和模型更新是透明的、审核的和防篡改的，防止未授权存取和操纵。

分散式学习和区块链的结合，使医疗机构能够为人工智慧模型开发建立一个分散且安全的基础设施。区块链检验并追踪模型更新，增加对人工智慧系统的输出和决策的信任。这种整合将促进医疗保健组织之间的合作，使他们能够共用来自不同资料集的见解，同时保护病患的隐私。此外，这些技术的结合将加强人工智慧系统的责任制，使模型训练和资料处理过程更易于追踪和审核。

在医疗保健领域，分散式学习描述了一种跨多个机构训练人工智慧模型的独特方法。这种方法允许每个机构保证资料的安全和私密，而无需共用敏感的患者资讯。模型在每个机构本地进行训练，并且隻共用模型更新，而不是实际资料。这种分布使得设施能够汇集专业知识和资料多样性，从而提高人工智慧模型的准确性。最终，分散式学习描述如何在保护病患隐私的同时增强医疗保健解决方案。例如，2024年10月，癌症AI联盟与弗雷德哈钦森癌症中心、丹娜法伯癌症实验室、纪念斯隆凯特琳癌症中心、西德尼金梅尔综合癌症中心、亚马逊网路服务、微软、英伟达和德勤等科技巨头合作成立，旨在透过分散式学习人工智慧主导的癌症治疗，实现安全、分散的数据分发，而无需共用敏感的患者资讯。

在偏远地区，分散式学习现在可以将人工智慧模式直接部署到穿戴式装置和智慧型手机等边缘装置上，以进行健康监测。这些设备无需持续存取互联网即可处理本地数据，使其成为低连接环境的理想选择。不传输原始数据，只与中央伺服器共用模型更新，确保数据隐私。这种方法可以直接在设备上即时分析心率和血糖浓度等健康指标。联合学习允许使用多个装置的资料不断改进模型，而不会损害使用者隐私。这对于管理慢性疾病和服务不足地区的预防性医疗保健尤其有益。最终，这可以减少对集中式基础设施的依赖，同时提高人工智慧医疗保健的可近性。

医疗保健机构正在迅速采用人工智慧技术来加强患者照护。分散式学习描述了一种跨多个机构训练人工智慧模型的安全方法，而无需共用敏感资料。这种分散的方法确保在实现协作的同时维护患者的隐私。透过允许资料保持在地化，综合学习可以在保证安全性的同时促进创新。此外，人工智慧模型可以在不同的资料集上进行训练，从而提高其在不同医疗保健环境中的准确性和适用性。例如，2024年12月，德国医疗科技公司西门子医疗与NVIDIA公司合作，将MONAI Deploy整合到其医学影像处理平台中。此次合作旨在加速在临床环境中部署人工智慧主导的解决方案，并使医疗机构更容易将先进的人工智慧技术应用到其医学影像工作流程中。

目录

第一章调查方法与范围

第二章执行摘要

3. 医疗分散式学习市场变数、趋势与范围

  • 全球医疗分散式学习市场展望
  • 产业价值链分析
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 产业挑战
  • 波特五力分析
    • 供应商权力
    • 买方力量
    • 替代威胁
    • 来自新进入者的威胁
    • 竞争对手之间的竞争
  • PESTEL分析
    • 政治
    • 经济
    • 社会
    • 科技
    • 环境
    • 合法的

第四章 医疗保健市场中的分散式学习：应用估计和预测

  • 医疗保健市场中的分散式学习：2024 年和 2030 年应用趋势分析

5.医疗保健市场的分散式学习：部署模式的估计和预测

  • 医疗保健市场中的分散式学习：部署模式变化分析（2024 年与 2030 年）

6. 医疗保健市场中的分散式学习：最终用途格局的估计和预测

  • 医疗保健市场中的分散式学习：2024 年与 2030 年的最终用途趋势分析
    • 医院和医疗机构
    • 製药和生物技术公司
    • 研究所
    • 政府和监管机构

7. 医疗保健分散式学习市场：区域、估计和趋势分析

  • 医疗保健领域中分散式学习的各地区市场份额（2024 年和 2030 年，百万美元）
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 韩国
  • 拉丁美洲
    • 巴西
  • 中东和非洲
    • 阿拉伯聯合大公国
    • 沙乌地阿拉伯
    • 南非

第八章 竞争态势

  • 主要市场参与企业的近期趋势和影响分析
  • 供应商格局
    • 公司分类
    • 主要经销商和通路合作伙伴名单
    • 潜在客户名单
  • 竞争动态
    • 竞争基准化分析
    • 战略地图
    • 热图分析
  • 公司简介/上市公司
    • FedML
    • GE Healthcare
    • Google LLC
    • Health Catalyst
    • IBM Corporation
    • Medtronic
    • Microsoft
    • NVIDIA Corporation
    • Owkin, Inc.
    • Siemens Healthineers
Product Code: GVR-4-68040-557-3

Market Size & Trends:

The global federated learning in healthcare market size was estimated at USD 28.83 million in 2024 and is projected to grow at a CAGR of 16.0% from 2025 to 2030. The integration of federated learning with blockchain technology is gaining significant prominence in the healthcare sector as a powerful tool for secure and collaborative AI model development. Federated learning allows multiple healthcare institutions to train AI models on their data without directly sharing sensitive patient information, ensuring privacy is maintained. Blockchain technology adds another layer of security by providing an immutable ledger that tracks all interactions within the federated learning system. This ensures that data exchanges and model updates are transparent, auditable, and tamper-proof, which protects against unauthorized access or manipulation.

Combining federated learning with blockchain allows healthcare institutions to establish a decentralized and secure infrastructure for AI model development. Blockchain verifies and tracks model updates, increasing trust in the AI systems' outputs and decisions. This integration promotes greater collaboration across institutions, enabling the sharing of insights from diverse datasets while safeguarding patient confidentiality. Moreover, the combination of these technologies enhances the accountability of AI systems, making it easier to trace and audit model training and data handling processes.

In healthcare, federated learning offers a unique method for training AI models across multiple institutions. This approach enables each institution to keep its data secure and private without sharing sensitive patient information. The model is trained locally at each institution, and only model updates are shared, not the actual data. Collaborating in this way allows institutions to pool their expertise and data diversity, which in turn improves the accuracy of AI models. Ultimately, federated learning provides a way to enhance healthcare solutions while maintaining strict patient confidentiality. For instance, in October 2024, The Cancer AI Alliance is formed through collaboration between Fred Hutchinson Cancer Center, Dana-Farber Cancer Institute, Memorial Sloan Kettering Cancer Center, Sidney Kimmel Comprehensive Cancer Center, and tech giants such as Amazon Web Services, Inc., Microsoft Corporation, NVIDIA Corporation, and Deloitte to advance AI-driven cancer care, to advance AI-driven cancer care through federated learning, which allows secure, decentralized data collaboration without sharing sensitive patient information.

In remote areas, federated learning is enabling the deployment of AI models directly on edge devices such as wearables and smartphones for health monitoring. These devices can process local data without requiring continuous internet access, making them ideal for low-connectivity environments. Instead of sending raw data, only model updates are shared with central servers, ensuring data privacy. This approach allows for real-time analysis of health metrics, such as heart rate or glucose levels, directly on the device. Federated learning allows models to continually improve with data from multiple devices without compromising user privacy. This is particularly beneficial for managing chronic conditions or providing preventative healthcare in underserved regions. Ultimately, it reduces the reliance on centralized infrastructure while enhancing the accessibility of AI-powered healthcare.

Healthcare institutions are rapidly adopting AI-driven technologies to enhance patient care. Federated learning offers a secure method for training AI models across multiple institutions without sharing sensitive data. This decentralized approach ensures that patient privacy is maintained while enabling collaboration. Allowing data to remain local, federated learning fosters innovation while maintaining security. It also enables AI models to be trained on diverse datasets, improving their accuracy and applicability across various healthcare settings. For instance, in December 2024, Siemens Healthineers, a healthcare technology company in Germany, collaborated with NVIDIA Corporation to integrate MONAI Deploy into their medical imaging platforms. This collaboration aims to accelerate the deployment of AI-driven solutions in clinical settings, making it easier for healthcare institutions to implement advanced AI technologies in medical imaging workflows.

Global Federated Learning In Healthcare Market Report Segmentation

This report forecasts revenue growth at the global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global federated learning in healthcare market report based on application, deployment mode, end-use, and region:

  • Application Outlook (Revenue, USD Million, 2018 - 2030)
  • Medical Imaging
  • Drug Discovery and Development
  • Electronic Health Records (EHR) Analysis
  • Remote Patient Monitoring
  • Clinical Trials
  • Deployment Mode Outlook (Revenue, USD Million, 2018 - 2030)
  • On-premise
  • Cloud-based
  • End-use Outlook (Revenue, USD Million, 2018 - 2030)
  • Hospitals and Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Research Institutions
  • Government and Regulatory Bodies
  • Regional Outlook (Revenue, USD Million, 2018 - 2030)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
  • Asia Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
  • Latin America
    • Brazil
  • Middle East & Africa (MEA)
    • KSA
    • UAE
    • South Africa

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

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

Chapter 3. Federated Learning in Healthcare Market Variables, Trends & Scope

  • 3.1. Global Federated Learning in Healthcare Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. Federated Learning in Healthcare Market: Application Estimates & Forecasts

  • 4.1. Federated Learning in Healthcare Market: Application Movement Analysis, 2024 & 2030
    • 4.1.1. Medical Imaging
      • 4.1.1.1. Medical Imaging Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.2. Drug Discovery and Development
      • 4.1.2.1. Drug Discovery and Development Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.3. Electronic Health Records (EHR) Analysis
      • 4.1.3.1. Electronic Health Records (EHR) Analysis Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.4. Remote Patient Monitoring
      • 4.1.4.1. Remote Patient Monitoring Market estimates and forecast, 2018 - 2030 (USD Million)
    • 4.1.5. Clinical Trials
      • 4.1.5.1. Clinical Trials Analysis Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 5. Federated Learning in Healthcare Market: Deployment Mode Estimates & Forecasts

  • 5.1. Federated Learning in Healthcare Market: Deployment Mode Movement Analysis, 2024 & 2030
    • 5.1.1. On-Premise
      • 5.1.1.1. On-Premise Market estimates and forecast, 2018 - 2030 (USD Million)
    • 5.1.2. Cloud-Based
      • 5.1.2.1. Cloud-Based Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 6. Federated Learning in Healthcare Market: End Use Outlook Estimates & Forecasts

  • 6.1. Federated Learning in Healthcare Market: End Use Movement Analysis, 2024 & 2030
    • 6.1.1. Hospitals and Healthcare Providers
      • 6.1.1.1. Hospitals and Healthcare Providers Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.2. Pharmaceutical and Biotechnology Companies
      • 6.1.2.1. Pharmaceutical and Biotechnology Companies Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.3. Research Institutions
      • 6.1.3.1. Research Institutions Market estimates and forecast, 2018 - 2030 (USD Million)
    • 6.1.4. Government and Regulatory Bodies
      • 6.1.4.1. Government and Regulatory Bodies Market estimates and forecast, 2018 - 2030 (USD Million)

Chapter 7. Federated Learning in Healthcare Market: Regional Estimates & Trend Analysis

  • 7.1. Federated Learning in Healthcare Market Share, By Region, 2024 & 2030, USD Million
  • 7.2. North America
    • 7.2.1. North America Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.1.1. North America Federated Learning in Healthcare Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.2.1.2. North America Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.1.3. North America Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.2.1.4. North America Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.2. U.S.
      • 7.2.2.1. U.S. Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.2.2. U.S. Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.2.3. U.S. Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.2.2.4. U.S. Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.3. Canada
      • 7.2.3.1. Canada Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.3.2. Canada Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.3.3. Canada Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.2.3.4. Canada Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.2.4. Mexico
      • 7.2.4.1. Mexico Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.2.4.2. Mexico Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.2.4.3. Mexico Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.2.4.4. Mexico Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.3. Europe
    • 7.3.1. Europe Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.1.1. Europe Federated Learning in Healthcare Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.3.1.2. Europe Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.1.3. Europe Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.3.1.4. Europe Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.2. UK
      • 7.3.2.1. UK Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.2.2. UK Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.2.3. UK Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.3.2.4. UK Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.3. Germany
      • 7.3.3.1. Germany Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.3.2. Germany Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.3.3. Germany Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.3.3.4. Germany Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.3.4. France
      • 7.3.4.1. France Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.3.4.2. France Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.3.4.3. France Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.3.4.4. France Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.4. Asia Pacific
    • 7.4.1. Asia Pacific Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.1.1. Asia Pacific Federated Learning in Healthcare Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.4.1.2. Asia Pacific Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.1.3. Asia Pacific Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.1.4. Asia Pacific Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.2. China
      • 7.4.2.1. China Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.2.2. China Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.2.3. China Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.2.4. China Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.3. Japan
      • 7.4.3.1. Japan Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.3.2. Japan Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.3.3. Japan Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.3.4. Japan Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.4. India
      • 7.4.4.1. India Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.4.2. India Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.4.3. India Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.4.4. India Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.5. Australia
      • 7.4.5.1. Australia Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.5.2. Australia Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.5.3. Australia Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.5.4. Australia Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.4.6. South Korea
      • 7.4.6.1. South Korea Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.4.6.2. South Korea Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.4.6.3. South Korea Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.4.6.4. South Korea Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.5. Latin America
    • 7.5.1. Latin America Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.5.1.1. Latin America Federated Learning in Healthcare Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.5.1.2. Latin America Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.5.1.3. Latin America Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.5.1.4. Latin America Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.5.2. Brazil
      • 7.5.2.1. Brazil Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.5.2.2. Brazil Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.5.2.3. Brazil Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.5.2.4. Brazil Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
  • 7.6. Middle East and Africa
    • 7.6.1. Middle East and Africa Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.1.1. Middle East and Africa Federated Learning in Healthcare Market Estimates and Forecasts, by Country, 2018 - 2030 (USD Million)
      • 7.6.1.2. Middle East and Africa Federated Learning in Healthcare Market Estimates and Forecasts, by Application , 2018 - 2030 (USD Million)
      • 7.6.1.3. Middle East and Africa Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.6.1.4. Middle East and Africa Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.2. UAE
      • 7.6.2.1. UAE Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.2.2. UAE Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.2.3. UAE Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.6.2.4. UAE Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.3. KSA
      • 7.6.3.1. KSA Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.3.2. KSA Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.3.3. KSA Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.6.3.4. KSA Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)
    • 7.6.4. South Africa
      • 7.6.4.1. South Africa Federated Learning in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD Million)
      • 7.6.4.2. South Africa Federated Learning in Healthcare Market Estimates and Forecasts, by Application, 2018 - 2030 (USD Million)
      • 7.6.4.3. South Africa Federated Learning in Healthcare Market Estimates and Forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
      • 7.6.4.4. South Africa Federated Learning in Healthcare Market Estimates and Forecasts, by End Use, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 8.2. Vendor Landscape
    • 8.2.1. Company categorization
    • 8.2.2. List of Key Distributors and channel Partners
    • 8.2.3. List of Potential Customers/Listing
  • 8.3. Competitive Dynamics
    • 8.3.1. Competitive Benchmarking
    • 8.3.2. Strategy Mapping
    • 8.3.3. Heat Map Analysis
  • 8.4. Company Profiles/Listing
    • 8.4.1. FedML
      • 8.4.1.1. Participant's overview
      • 8.4.1.2. Financial performance
      • 8.4.1.3. Deployment Mode benchmarking
      • 8.4.1.4. Strategic initiatives
    • 8.4.2. GE Healthcare
      • 8.4.2.1. Participant's overview
      • 8.4.2.2. Financial performance
      • 8.4.2.3. Deployment Mode benchmarking
      • 8.4.2.4. Strategic initiatives
    • 8.4.3. Google LLC
      • 8.4.3.1. Participant's overview
      • 8.4.3.2. Financial performance
      • 8.4.3.3. Deployment Mode benchmarking
      • 8.4.3.4. Strategic initiatives
    • 8.4.4. Health Catalyst
      • 8.4.4.1. Participant's overview
      • 8.4.4.2. Financial performance
      • 8.4.4.3. Deployment Mode benchmarking
      • 8.4.4.4. Strategic initiatives
    • 8.4.5. IBM Corporation
      • 8.4.5.1. Participant's overview
      • 8.4.5.2. Financial performance
      • 8.4.5.3. Deployment Mode benchmarking
      • 8.4.5.4. Strategic initiatives
    • 8.4.6. Medtronic
      • 8.4.6.1. Participant's overview
      • 8.4.6.2. Financial performance
      • 8.4.6.3. Deployment Mode benchmarking
      • 8.4.6.4. Strategic initiatives
    • 8.4.7. Microsoft
      • 8.4.7.1. Participant's overview
      • 8.4.7.2. Financial performance
      • 8.4.7.3. Deployment Mode benchmarking
      • 8.4.7.4. Strategic initiatives
    • 8.4.8. NVIDIA Corporation
      • 8.4.8.1. Participant's overview
      • 8.4.8.2. Financial performance
      • 8.4.8.3. Deployment Mode benchmarking
      • 8.4.8.4. Strategic initiatives
    • 8.4.9. Owkin, Inc.
      • 8.4.9.1. Participant's overview
      • 8.4.9.2. Financial performance
      • 8.4.9.3. Deployment Mode benchmarking
      • 8.4.9.4. Strategic initiatives
    • 8.4.10. Siemens Healthineers
      • 8.4.10.1. Participant's overview
      • 8.4.10.2. Financial performance
      • 8.4.10.3. Deployment Mode benchmarking
      • 8.4.10.4. Strategic initiatives

List of Tables

  • Table 1 Global Federated Learning in Healthcare market estimates and forecasts, by region, 2018 - 2030 (USD Million)
  • Table 2 Global Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 3 Global Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 4 Global Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 5 North America Federated Learning in Healthcare market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 6 North America Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 7 North America Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 8 North America Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 9 U.S. Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 10 U.S. Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 11 U.S. Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 12 Canada Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 13 Canada Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 14 Canada Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 15 Mexico Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 16 Mexico Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 17 Mexico Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 18 Europe Federated Learning in Healthcare market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 19 Europe Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 20 Europe Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 21 Europe Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 22 UK Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 23 UK Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 24 UK Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 25 Germany Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 26 Germany Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 27 Germany Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 28 France Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 29 France Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 30 France Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 31 Asia Pacific Federated Learning in Healthcare market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 32 Asia Pacific Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 33 Asia Pacific Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 34 Asia Pacific Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 35 China Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 36 China Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 37 China Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 38 Japan Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 39 Japan Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 40 Japan Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 41 India Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 42 India Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 43 India Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 44 Australia Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 45 Australia Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 46 Australia Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 47 South Korea Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 48 South Korea Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 49 South Korea Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 50 Latin America Federated Learning in Healthcare market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 51 Latin America Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 52 Latin America Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 53 Latin America Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 54 Brazil Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 55 Brazil Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 56 Brazil Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 57 Middle East & Africa Federated Learning in Healthcare market estimates and forecasts, by country, 2018 - 2030 (USD Million)
  • Table 58 Middle East & Africa Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 59 Middle East & Africa Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 60 Middle East & Africa Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 61 Saudi Arabia Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 62 Saudi Arabia Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 63 Saudi Arabia Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 64 UAE Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 65 UAE Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 66 UAE Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)
  • Table 67 South Africa Federated Learning in Healthcare market estimates and forecasts, by Application, 2018 - 2030 (USD Million)
  • Table 68 South Africa Federated Learning in Healthcare market estimates and forecasts, by Deployment Mode, 2018 - 2030 (USD Million)
  • Table 69 South Africa Federated Learning in Healthcare market estimates and forecasts, by End Use, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Federated Learning 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 Parent market analysis
  • Fig. 7 Market formulation & validation
  • Fig. 8 Federated Learning in Healthcare market snapshot
  • Fig. 9 Federated Learning in Healthcare market segment snapshot
  • Fig. 10 Federated Learning in Healthcare market competitive landscape snapshot
  • Fig. 11 Market driver relevance analysis (Current & future impact)
  • Fig. 12 Market restraint relevance analysis (Current & future impact)
  • Fig. 13 Value Chain Analysis
  • Fig. 14 Federated Learning in Healthcare market: Application outlook key takeaways (USD Million)
  • Fig. 15 Federated Learning in Healthcare market: Application movement analysis (USD Million), 2024 & 2030
  • Fig. 16 Medical Imaging market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 17 Drug Discovery and Development market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 18 Electronic Health Records (EHR) Analysis market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 19 Remote Patient Monitoring market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 20 Clinical Trials market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 21 Federated Learning in Healthcare market, Deployment Mode outlook key takeaways (USD Million)
  • Fig. 22 Federated Learning in Healthcare market Deployment Mode movement analysis (USD Million), 2024 & 2030
  • Fig. 23 On-Premise market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 24 Cloud-Based market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 25 Federated Learning in Healthcare market: End Use outlook key takeaways (USD Million)
  • Fig. 26 Federated Learning in Healthcare market: End Use movement analysis (USD Million), 2024 & 2030
  • Fig. 27 Hospitals and Healthcare Providers market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 28 Pharmaceutical and Biotechnology Companies market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 Research Institutions market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 30 Government and Regulatory Bodies market revenue estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 Federated Learning in Healthcare market: Regional outlook, 2024 & 2030, USD Million
  • Fig. 32 North America Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 U.S. Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 34 Canada Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Mexico Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 36 Europe Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 UK Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 38 Germany Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 France Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 40 Asia Pacific Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 China Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 42 Japan Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 India Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 44 Australia Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 South Korea Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 46 Latin America Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 Brazil Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 48 MEA Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 KSA Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 50 UAE Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 51 South Africa Federated Learning in Healthcare market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 52 Strategy framework
  • Fig. 53 Company Categorization