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1876673

健康數據流動性平台市場預測至2032年：按模型類型、技術、應用、最終用戶和地區分類的全球分析

Health Data-Liquidity Platforms Market Forecasts to 2032 - Global Analysis By Model Type, Technology, Application, End User, and By Geography.
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計到 2025 年，全球健康數據流動性平台市場規模將達到 31 億美元，到 2032 年將達到 81 億美元，預測期內複合年成長率為 14.7%。

健康資料流動性平台是去中心化的基礎設施，能夠實現醫療機構間健康資料的安全、互通交換和貨幣化。這些平台利用區塊鏈、人工智慧和知情同意管理系統，確保病患資訊的隱私、合規性和即時存取。透過使個人和機構能夠有效率地共用檢驗的健康記錄，這些平台促進了協作研究、個人化醫療和數據驅動的決策。這種模式鼓勵負責任的數據使用，同時促進醫療創新和提高透明度。

根據 Rock Health 的一份報告，患者對綜合健康記錄的需求正在成長，超過 75% 的人希望控制其數位健康數據的便攜性。

提高數位健康互通性

由於不同醫療機構和系統之間需要無縫交換數據，數位健康互通性正日益受到關注。這有助於改善患者照護協調，減少重複檢查，並支持以價值為導向的醫療保健模式。各國政府和組織正在採用FHIR等標準，以促進臨床和管理數據的即時、安全共用，從而在全球範圍內建立一個更加互聯高效的醫療保健生態系統。這種互通性有助於做出更明智的臨床決策，並改善患者的治療效果。

資料管治框架的複雜性

複雜的數據管治框架給醫療保健數據帶來了巨大挑戰，因為醫療保健數據包含敏感的患者資訊，並受 HIPAA 和 GDPR 等多種法規的約束。確保跨不同司法管轄區和醫療機構的合規性、資料隱私、同意管理和安全訪問，使得互通性工作更加複雜。在負責任地管理患者資料的同時支援其開放交換，需要複雜的技術和法律體制，這會減緩資料採用速度並增加實施成本。

患者自主資料模型的出現

病患自主資料模式是一項變革性的機遇，它賦予個人控制、共用和利用自身健康資料的能力。區塊鏈和去中心化技術支援安全透明的資料交易，從而實現個人化醫療和參與科學研究。這項轉變有助於建立信任、提升病患參與度，提高資料流動性，並開闢新的收入來源，同時透過更廣泛的資料存取和相關人員之間的協作，促進醫療創新。

未授權存取和資料洩露

未經授權的資料存取、外洩和違規行為會損害患者信任和監管合規性，從而威脅市場成長。醫療保健IT系統和互通性平台中的網路安全漏洞使敏感的健康記錄面臨被駭客攻擊和濫用的風險。這些風險需要強大的加密、身分驗證和持續監控，這會增加營運複雜性和成本，同時也會影響醫療服務提供者和患者的接受度。

新冠疫情的影響：

新冠疫情加速了醫療領域的數位化進程，並凸顯了建構可互通數據系統以支援遠端醫療、遠端監測和數據驅動型公共衛生應對措施的必要性。儘管疫情初期的一些IT計劃受到了一定程度的影響，但人們對即時資料共用益處的認知不斷提高，以及政府的獎勵策略，都推動了對互通性平台的投資，從而促進了市場快速成熟，並加強了醫療服務提供者與科技公司之間的合作。

預計在預測期內，醫療保健資料交換領域將佔據最大的市場佔有率。

由於健康資料交換在促進跨機構集中、安全和標準化的健康資料共用方面發揮重要作用，預計在預測期內，健康資料交換領域將佔據最大的市場佔有率。它匯集來自不同來源的數據，提高了醫療保健生態系統中數據的可近性和即時流動性，從而有助於醫療協調、研究和人群健康管理。

預計在預測期內，區塊鏈基礎設施領域將實現最高的複合年成長率。

區塊鏈基礎設施領域預計將實現最高成長率，這主要得益於其提供安全、透明且防篡改的醫療保健數據交易的能力。區塊鏈能夠增強病患資料的所有權，提高互通性信任度，減少詐欺行為，同時確保符合隱私法規。去中心化醫療保健數據平台的日益普及以及醫療機構先導計畫的實施，正在推動這一快速成長。

佔比最大的地區：

由於亞太地區醫療基礎設施不斷完善、政府大力推動數位醫療，以及互通性解決方案的快速普及，預計該地區將佔據最大的市場佔有率。中國、印度、日本和韓國等國家正在大力投資建立數位醫療生態系統，拓展遠距遠端醫療，並法規結構，以促進互通性解決方案的採用，從而改善醫療效果並提高營運效率。

預計年複合成長率最高的地區：

北美預計將成為複合年成長率最高的地區，這主要得益於其先進的醫療資訊IT基礎設施、主要市場參與者的存在以及促進互通性的監管要求，例如《21世紀治療方法法案》。對人工智慧整合、用於醫療數據安全的區塊鏈以及電子健康記錄（EHR）的廣泛應用的大力投資，正在推動該地區的快速成長。該地區致力於患者資料所有權模式的創新以及安全合規的資料交換框架。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 二手研究資料
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球健康數據流動性平台市場（按模型類型分類）

  • 介紹
  • 數據標記化平台
  • 健康數據交換
  • 基於區塊鏈的同意系統
  • AI整合資料市場
  • 智慧合約健康記錄
  • 跨境資料池

6. 全球健康數據流動性平台市場（依技術分類）

  • 介紹
  • 區塊鏈基礎設施
  • 人工智慧和機器學習
  • 零知識證明系統
  • API驅動的互通性
  • 去中心化雲端存儲
  • 智慧資料管治工具

7. 全球健康數據流動性平台市場（按應用分類）

  • 介紹
  • 臨床數據共用
  • 藥物研究
  • 個人化醫療
  • 保險承保
  • 遠端患者監護
  • 公共衛生監測

8. 全球健康數據流動性平台市場（依最終用戶分類）

  • 介紹
  • 醫院和診所
  • 製藥公司
  • 資料聚合器
  • 保險公司
  • 研究所
  • 政府衛生機構

9. 全球健康數據流動性平台市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC
  • Salesforce, Inc.
  • SAS Institute
  • SAP SE
  • TIBCO Software Inc.
  • Sisense Inc.
  • Snowflake Inc.
  • QlikTech International AB
  • HealthVerity, Inc.
  • Accenture
  • Availity, LLC
  • Domo, Inc.
  • Komodo Health, Inc.
  • ThoughtSpot Inc.
  • Datavant, Inc.
Product Code: SMRC32351

According to Stratistics MRC, the Global Health Data-Liquidity Platforms Market is accounted for $3.1 billion in 2025 and is expected to reach $8.1 billion by 2032 growing at a CAGR of 14.7% during the forecast period. Health Data-Liquidity Platforms are decentralized infrastructures enabling secure, interoperable exchange and monetization of health data across institutions. These platforms use blockchain, AI, and consent management systems to ensure privacy, compliance, and real-time access to patient information. They enhance research collaboration, personalized medicine, and data-driven decision-making by allowing individuals and organizations to share verified health records efficiently. This model encourages responsible data usage while improving healthcare innovation and transparency.

According to a Rock Health report, patient demand for unified health records is rising, with over 75% of individuals wanting control over their digital health data portability.

Market Dynamics:

Driver:

Increasing digital health interoperability

The growing emphasis on digital health interoperability is driven by the need for seamless data exchange among diverse healthcare providers and systems. It improves patient care coordination, reduces redundant tests, and supports value-based healthcare. Governments and organizations are implementing standards like FHIR to facilitate real-time, secure sharing of clinical and administrative data, fostering more connected and efficient healthcare ecosystems globally. This interoperability enables better clinical decision-making and patient outcomes.

Restraint:

Complexity in data governance frameworks

Complex data governance frameworks pose significant challenges, as healthcare data involves sensitive patient information subject to diverse regulations like HIPAA and GDPR. Ensuring compliance, data privacy, consent management, and secure access across different jurisdictions and providers complicates interoperability efforts. Managing patient data responsibly while supporting open exchange demands sophisticated technical and legal frameworks, which slow widespread adoption and increase implementation costs.

Opportunity:

Emergence of patient-owned data models

Patient-owned data models represent a transformative opportunity, empowering individuals to control, share, and monetize their health data. Blockchain and decentralized technologies support secure, transparent data transactions, enabling personalized care and research participation. This shift enhances data liquidity by fostering trust and patient engagement, opening new revenue streams and improving healthcare innovation through broader data access and collaboration among stakeholders.

Threat:

Unauthorized access and data leaks

Unauthorized data access, breaches, and leaks threaten market growth by undermining patient trust and regulatory compliance. Cybersecurity vulnerabilities in health IT systems and interoperability platforms expose sensitive health records to hacking and misuse. These risks necessitate robust encryption, authentication, and continuous monitoring, increasing operational complexity and costs while affecting adoption willingness among healthcare providers and patients.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital adoption in healthcare, intensifying the need for interoperable data systems to support telehealth, remote monitoring, and data-driven public health responses. While initial disruptions affected some IT projects, heightened awareness of real-time data sharing benefits and government stimulus programs boosted investments in interoperability platforms, rapidly advancing market maturity and collaboration between providers and technology firms.

The health data exchanges segment is expected to be the largest during the forecast period

The health data exchanges segment is expected to account for the largest market share during the forecast period, resulting from their role in facilitating centralized, secure, and standardized health data sharing across multiple organizations. They support care coordination, research, and population health management by aggregating data from varied sources, improving accessibility and real-time data liquidity in healthcare ecosystems.

The blockchain infrastructure segment is expected to have the highest CAGR during the forecast period

The blockchain infrastructure segment is predicted to witness the highest growth rate, propelled by its ability to provide secure, transparent, and immutable health data transactions. Blockchain enhances patient data ownership, interoperability trust, and reduces fraud while ensuring compliance with privacy regulations. Growing adoption of decentralized health data platforms and pilot projects across healthcare organizations drive this rapid growth.

Region with largest share:

The Asia Pacific region is expected to hold the largest market share due to expanding healthcare infrastructure, increasing government initiatives promoting digital health, and rapid adoption of interoperability solutions. Countries like China, India, Japan, and South Korea are investing heavily in digital health ecosystems, telehealth expansion, and regulatory frameworks that encourage interoperability adoption to improve healthcare outcomes and operational efficiencies.

Region with highest CAGR:

North America is anticipated to exhibit the highest CAGR, supported by its advanced healthcare IT infrastructure, presence of key market players, and regulatory mandates encouraging interoperability such as the 21st Century Cures Act. Strong investments in AI integration, blockchain for health data security, and extensive adoption of electronic health records fuel rapid growth. The region focuses on innovation in patient data ownership models and secure, compliant data exchange frameworks.

Key players in the market

Some of the key players in Health Data-Liquidity Platforms Market include Oracle Corporation, Microsoft Corporation, Google LLC, Salesforce, Inc., SAS Institute, SAP SE, TIBCO Software Inc., Sisense Inc., Snowflake Inc., QlikTech International AB, HealthVerity, Inc., Accenture, Availity, LLC, Domo, Inc., Komodo Health, Inc., ThoughtSpot Inc. and Datavant, Inc.

Key Developments:

In November 2025, Google LLC launched its Google Health Data Fabric, a new platform leveraging Federated Learning and de-identification APIs to enable collaborative research across hospital networks without moving raw patient data.

In October 2025, Salesforce, Inc. introduced Tableau Health-Link, a new set of analytics tools built on the Salesforce Data Cloud designed to unify patient journey data from EHRs, claims, and clinical trials for life sciences companies.

In September 2025, Microsoft Corporation and Accenture announced a strategic partnership to deploy the Microsoft Cloud for Healthcare Interoperability Suite, a turnkey solution for payers and providers to achieve real-time data liquidity and compliance with new FHIR-based regulations.

Model Types Covered:

  • Data Tokenization Platforms
  • Health Data Exchanges
  • Blockchain-Based Consent Systems
  • AI-Integrated Data Marketplaces
  • Smart Contract Health Records
  • Cross-Border Data Pools

Technologies Covered:

  • Blockchain Infrastructure
  • AI & Machine Learning
  • Zero-Knowledge Proof Systems
  • API-Driven Interoperability
  • Decentralized Cloud Storage
  • Smart Data Governance Tools

Applications Covered:

  • Clinical Data Sharing
  • Pharmaceutical Research
  • Personalized Medicine
  • Insurance Underwriting
  • Remote Patient Monitoring
  • Public Health Surveillance

End Users Covered:

  • Hospitals & Clinics
  • Pharmaceutical Companies
  • Data Aggregators
  • Insurance Providers
  • Research Institutions
  • Government Health Agencies

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technlogy Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Health Data-Liquidity Platforms Market, By Model Type

  • 5.1 Introduction
  • 5.2 Data Tokenization Platforms
  • 5.3 Health Data Exchanges
  • 5.4 Blockchain-Based Consent Systems
  • 5.5 AI-Integrated Data Marketplaces
  • 5.6 Smart Contract Health Records
  • 5.7 Cross-Border Data Pools

6 Global Health Data-Liquidity Platforms Market, By Technology

  • 6.1 Introduction
  • 6.2 Blockchain Infrastructure
  • 6.3 AI & Machine Learning
  • 6.4 Zero-Knowledge Proof Systems
  • 6.5 API-Driven Interoperability
  • 6.6 Decentralized Cloud Storage
  • 6.7 Smart Data Governance Tools

7 Global Health Data-Liquidity Platforms Market, By Application

  • 7.1 Introduction
  • 7.2 Clinical Data Sharing
  • 7.3 Pharmaceutical Research
  • 7.4 Personalized Medicine
  • 7.5 Insurance Underwriting
  • 7.6 Remote Patient Monitoring
  • 7.7 Public Health Surveillance

8 Global Health Data-Liquidity Platforms Market, By End User

  • 8.1 Introduction
  • 8.2 Hospitals & Clinics
  • 8.3 Pharmaceutical Companies
  • 8.4 Data Aggregators
  • 8.5 Insurance Providers
  • 8.6 Research Institutions
  • 8.7 Government Health Agencies

9 Global Health Data-Liquidity Platforms Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Oracle Corporation
  • 11.2 Microsoft Corporation
  • 11.3 Google LLC
  • 11.4 Salesforce, Inc.
  • 11.5 SAS Institute
  • 11.6 SAP SE
  • 11.7 TIBCO Software Inc.
  • 11.8 Sisense Inc.
  • 11.9 Snowflake Inc.
  • 11.10 QlikTech International AB
  • 11.11 HealthVerity, Inc.
  • 11.12 Accenture
  • 11.13 Availity, LLC
  • 11.14 Domo, Inc.
  • 11.15 Komodo Health, Inc.
  • 11.16 ThoughtSpot Inc.
  • 11.17 Datavant, Inc.

List of Tables

  • Table 1 Global Health Data-Liquidity Platforms Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Health Data-Liquidity Platforms Market Outlook, By Model Type (2024-2032) ($MN)
  • Table 3 Global Health Data-Liquidity Platforms Market Outlook, By Data Tokenization Platforms (2024-2032) ($MN)
  • Table 4 Global Health Data-Liquidity Platforms Market Outlook, By Health Data Exchanges (2024-2032) ($MN)
  • Table 5 Global Health Data-Liquidity Platforms Market Outlook, By Blockchain-Based Consent Systems (2024-2032) ($MN)
  • Table 6 Global Health Data-Liquidity Platforms Market Outlook, By AI-Integrated Data Marketplaces (2024-2032) ($MN)
  • Table 7 Global Health Data-Liquidity Platforms Market Outlook, By Smart Contract Health Records (2024-2032) ($MN)
  • Table 8 Global Health Data-Liquidity Platforms Market Outlook, By Cross-Border Data Pools (2024-2032) ($MN)
  • Table 9 Global Health Data-Liquidity Platforms Market Outlook, By Technology (2024-2032) ($MN)
  • Table 10 Global Health Data-Liquidity Platforms Market Outlook, By Blockchain Infrastructure (2024-2032) ($MN)
  • Table 11 Global Health Data-Liquidity Platforms Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 12 Global Health Data-Liquidity Platforms Market Outlook, By Zero-Knowledge Proof Systems (2024-2032) ($MN)
  • Table 13 Global Health Data-Liquidity Platforms Market Outlook, By API-Driven Interoperability (2024-2032) ($MN)
  • Table 14 Global Health Data-Liquidity Platforms Market Outlook, By Decentralized Cloud Storage (2024-2032) ($MN)
  • Table 15 Global Health Data-Liquidity Platforms Market Outlook, By Smart Data Governance Tools (2024-2032) ($MN)
  • Table 16 Global Health Data-Liquidity Platforms Market Outlook, By Application (2024-2032) ($MN)
  • Table 17 Global Health Data-Liquidity Platforms Market Outlook, By Clinical Data Sharing (2024-2032) ($MN)
  • Table 18 Global Health Data-Liquidity Platforms Market Outlook, By Pharmaceutical Research (2024-2032) ($MN)
  • Table 19 Global Health Data-Liquidity Platforms Market Outlook, By Personalized Medicine (2024-2032) ($MN)
  • Table 20 Global Health Data-Liquidity Platforms Market Outlook, By Insurance Underwriting (2024-2032) ($MN)
  • Table 21 Global Health Data-Liquidity Platforms Market Outlook, By Remote Patient Monitoring (2024-2032) ($MN)
  • Table 22 Global Health Data-Liquidity Platforms Market Outlook, By Public Health Surveillance (2024-2032) ($MN)
  • Table 23 Global Health Data-Liquidity Platforms Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global Health Data-Liquidity Platforms Market Outlook, By Hospitals & Clinics (2024-2032) ($MN)
  • Table 25 Global Health Data-Liquidity Platforms Market Outlook, By Pharmaceutical Companies (2024-2032) ($MN)
  • Table 26 Global Health Data-Liquidity Platforms Market Outlook, By Data Aggregators (2024-2032) ($MN)
  • Table 27 Global Health Data-Liquidity Platforms Market Outlook, By Insurance Providers (2024-2032) ($MN)
  • Table 28 Global Health Data-Liquidity Platforms Market Outlook, By Research Institutions (2024-2032) ($MN)
  • Table 29 Global Health Data-Liquidity Platforms Market Outlook, By Government Health Agencies (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.