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市场调查报告书
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1876673

健康数据流动性平台市场预测至2032年：按模型类型、技术、应用、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的研究，预计到 2025 年，全球健康数据流动性平台市场规模将达到 31 亿美元，到 2032 年将达到 81 亿美元，预测期内复合年增长率为 14.7%。

健康资料流动性平台是去中心化的基础设施，能够实现医疗机构间健康资料的安全、互通交换和货币化。这些平台利用区块链、人工智慧和知情同意管理系统，确保病患资讯的隐私、合规性和即时存取。透过使个人和机构能够有效率地共用检验的健康记录，这些平台促进了协作研究、个人化医疗和数据驱动的决策。这种模式鼓励负责任的数据使用，同时促进医疗创新和提高透明度。

根据 Rock Health 的一份报告，患者对综合健康记录的需求正在增长，超过 75% 的人希望控制其数位健康数据的便携性。

提高数位健康互通性

由于不同医疗机构和系统之间需要无缝交换数据，数位健康互通性正日益受到关注。这有助于改善患者照护协调，减少重复检查，并支持以价值为导向的医疗保健模式。各国政府和组织正在采用FHIR等标准，以促进临床和管理数据的即时、安全共用，从而在全球范围内建立一个更加互联高效的医疗保健生态系统。这种互通性有助于做出更明智的临床决策，并改善患者的治疗效果。

资料管治框架的复杂性

复杂的数据管治框架给医疗保健数据带来了巨大挑战，因为医疗保健数据包含敏感的患者信息，并受 HIPAA 和 GDPR 等多种法规的约束。确保跨不同司法管辖区和医疗机构的合规性、资料隐私、同意管理和安全访问，使得互通性工作更加复杂。在负责任地管理患者资料的同时支援其开放交换，需要复杂的技术和法律体制，这会减缓资料采用速度并增加实施成本。

患者自主资料模型的出现

病患自主资料模式是一项变革性的机会，它赋予个人控制、共用和利用自身健康资料的能力。区块链和去中心化技术支援安全透明的资料交易，从而实现个人化医疗和参与科学研究。这项转变有助于建立信任、提升病患参与度，提高资料流动性，并开闢新的收入来源，同时透过更广泛的资料存取和相关人员之间的协作，促进医疗创新。

未授权存取和资料洩露

未经授权的资料存取、外洩和违规行为会损害患者信任和监管合规性，从而威胁市场成长。医疗保健IT系统和互通性平台中的网路安全漏洞使敏感的健康记录面临被骇客攻击和滥用的风险。这些风险需要强大的加密、身分验证和持续监控，这会增加营运复杂性和成本，同时也会影响医疗服务提供者和患者的接受度。

新冠疫情的影响：

新冠疫情加速了医疗领域的数位化进程，并凸显了建构可互通数据系统以支援远端医疗、远端监测和数据驱动型公共卫生应对措施的必要性。儘管疫情初期的一些IT计划受到了一定程度的影响，但人们对即时资料共用益处的认识不断提高，以及政府的奖励策略，都推动了对互通性平台的投资，从而促进了市场快速成熟，并加强了医疗服务提供者与科技公司之间的合作。

预计在预测期内，医疗保健资料交换领域将占据最大的市场份额。

由于健康资料交换在促进跨机构集中、安全和标准化的健康资料共用方面发挥重要作用，预计在预测期内，健康资料交换领域将占据最大的市场份额。它汇集来自不同来源的数据，提高了医疗保健生态系统中数据的可近性和即时流动性，从而有助于医疗协调、研究和人群健康管理。

预计在预测期内，区块链基础设施领域将实现最高的复合年增长率。

区块链基础设施领域预计将实现最高成长率，这主要得益于其提供安全、透明且防篡改的医疗保健数据交易的能力。区块链能够增强病患资料的所有权，提高互通性信任度，减少诈欺行为，同时确保符合隐私法规。去中心化医疗保健数据平台的日益普及以及医疗机构先导计画的实施，正在推动这一快速成长。

占比最大的地区：

由于亚太地区医疗基础设施不断完善、政府大力推动数位医疗，以及互通性解决方案的快速普及，预计该地区将占据最大的市场份额。中国、印度、日本和韩国等国家正在大力投资建立数位医疗生态系统，拓展远距远端医疗，并法规结构，以促进互通性解决方案的采用，从而改善医疗效果并提高营运效率。

预计年复合成长率最高的地区：

北美预计将成为复合年增长率最高的地区，这主要得益于其先进的医疗资讯IT基础设施、主要市场参与者的存在以及促进互通性的监管要求，例如《21世纪治疗方法法案》。对人工智慧整合、用于医疗数据安全的区块链以及电子健康记录（EHR）的广泛应用的大力投资，正在推动该地区的快速成长。该地区致力于患者资料所有权模式的创新以及安全合规的资料交换框架。

免费客製化服务：

购买此报告的客户可享有以下免费自订选项之一：

  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算和预测，以及复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 二手研究资料
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球健康数据流动性平台市场（按模型类型划分）

  • 介绍
  • 数据标记化平台
  • 健康数据交换
  • 基于区块链的同意系统
  • AI整合资料市场
  • 智能合约健康记录
  • 跨境资料池

6. 全球健康数据流动性平台市场（依技术划分）

  • 介绍
  • 区块链基础设施
  • 人工智慧和机器学习
  • 零知识证明系统
  • API驱动的互通性
  • 去中心化云端存储
  • 智慧资料管治工具

7. 全球健康数据流动性平台市场（按应用划分）

  • 介绍
  • 临床数据共用
  • 药物研究
  • 个人化医疗
  • 保险承保
  • 远端患者监护
  • 公共卫生监测

8. 全球健康数据流动性平台市场（依最终用户划分）

  • 介绍
  • 医院和诊所
  • 製药公司
  • 资料聚合器
  • 保险公司
  • 研究所
  • 政府卫生机构

9. 全球健康数据流动性平台市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十一章 企业概况

  • 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.