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市場調查報告書
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1728070

醫療保健分散式學習市場規模、佔有率、趨勢分析報告：按應用、部署模式、最終用途、地區和細分市場預測，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個工作天內

價格

市場規模和趨勢

預計 2024 年全球醫療保健分散式學習市場規模將達到 2,883 萬美元，2025 年至 2030 年的複合年成長率為 16.0%。

分散式學習和區塊鏈技術的整合作為安全和協作的人工智慧模型開發的有力工具，在醫療保健領域引起了廣泛關注。分散式學習允許多個醫療機構根據敏感的患者資訊訓練人工智慧模型，而無需直接共用這些數據，從而確保隱私得到維護。區塊鏈技術透過提供可追蹤分散式學習系統內所有互動的不可變帳本，增加了另一層安全性。這確保了資料交換和模型更新是透明的、審核的和防篡改的，防止未授權存取和操縱。

分散式學習和區塊鏈的結合，使醫療機構能夠為人工智慧模型開發建立一個分散且安全的基礎設施。區塊鏈檢驗並追蹤模型更新，增加對人工智慧系統的輸出和決策的信任。這種整合將促進醫療保健組織之間的合作，使他們能夠共用來自不同資料集的見解，同時保護病患的隱私。此外，這些技術的結合將加強人工智慧系統的責任制，使模型訓練和資料處理過程更易於追蹤和審核。

在醫療保健領域，分散式學習描述了一種跨多個機構訓練人工智慧模型的獨特方法。這種方法允許每個機構保證資料的安全和私密，而無需共用敏感的患者資訊。模型在每個機構本地進行訓練，並且隻共用模型更新，而不是實際資料。這種分佈使得設施能夠匯集專業知識和資料多樣性，從而提高人工智慧模型的準確性。最終，分散式學習描述如何在保護病患隱私的同時增強醫療保健解決方案。例如，2024年10月，癌症AI聯盟與弗雷德哈欽森癌症中心、丹娜法伯癌症實驗室、紀念斯隆凱特琳癌症中心、西德尼金梅爾綜合癌症中心、亞馬遜網路服務、微軟、英偉達和德勤等科技巨頭合作成立，旨在透過分散式學習人工智慧主導的癌症治療，實現安全、分散的數據分發，而無需共用敏感的患者資訊。

在偏遠地區，分散式學習現在可以將人工智慧模式直接部署到穿戴式裝置和智慧型手機等邊緣裝置上，以進行健康監測。這些設備無需持續存取網際網路即可處理本地數據，使其成為低連接環境的理想選擇。不傳輸原始數據，只與中央伺服器共用模型更新，確保數據隱私。這種方法可以直接在設備上即時分析心率和血糖濃度等健康指標。聯合學習允許使用多個裝置的資料不斷改進模型，而不會損害使用者隱私。這對於管理慢性疾病和服務不足地區的預防性醫療保健尤其有益。最終，這可以減少對集中式基礎設施的依賴，同時提高人工智慧醫療保健的可近性。

醫療保健機構正在迅速採用人工智慧技術來加強患者照護。分散式學習描述了一種跨多個機構訓練人工智慧模型的安全方法，而無需共用敏感資料。這種分散的方法確保在實現協作的同時維護患者的隱私。透過允許資料保持在地化，綜合學習可以在保證安全性的同時促進創新。此外，人工智慧模型可以在不同的資料集上進行訓練，從而提高其在不同醫療保健環境中的準確性和適用性。例如，2024年12月，德國醫療科技公司西門子醫療與NVIDIA公司合作，將MONAI Deploy整合到其醫學影像處理平台中。此次合作旨在加速在臨床環境中部署人工智慧主導的解決方案，並使醫療機構更容易將先進的人工智慧技術應用到其醫學影像工作流程中。

目錄

第1章調查方法與範圍

第2章執行摘要

3. 醫療分散式學習市場變數、趨勢與範圍

  • 全球醫療分散式學習市場展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 波特五力分析
    • 供應商權力
    • 買方力量
    • 替代威脅
    • 來自新進入者的威脅
    • 競爭對手之間的競爭
  • PESTEL分析
    • 政治
    • 經濟
    • 社會
    • 科技
    • 環境
    • 合法的

第4章 醫療保健市場中的分散式學習：應用估計和預測

  • 醫療保健市場中的分散式學習：2024 年和 2030 年應用趨勢分析

5.醫療保健市場的分散式學習：部署模式的估計和預測

  • 醫療保健市場中的分散式學習：部署模式變化分析（2024 年與 2030 年）

6. 醫療保健市場中的分散式學習：最終用途格局的估計和預測

  • 醫療保健市場中的分散式學習：2024 年與 2030 年的最終用途趨勢分析
    • 醫院和醫療機構
    • 製藥和生物技術公司
    • 研究所
    • 政府和監管機構

7. 醫療保健分散式學習市場：區域、估計和趨勢分析

  • 醫療保健領域中分散式學習的各地區市場佔有率（2024 年和 2030 年，百萬美元）
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 巴西
  • 中東和非洲
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非

第8章 競爭態勢

  • 主要市場參與企業的近期趨勢和影響分析
  • 供應商格局
    • 公司分類
    • 主要經銷商和通路合作夥伴名單
    • 潛在客戶名單
  • 競爭動態
    • 競爭基準化分析
    • 戰略地圖
    • 熱圖分析
  • 公司簡介/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