医疗数据货币化解决方案市场机会、成长动力、产业趋势分析及预测 2025-2034

2024 年全球医疗保健数据货币化解决方案市值为 9.983 亿美元，预计 2025 年至 2034 年期间的复合年增长率为 18.2%。医疗保健产业正在经历数位革命，资料货币化正在成为关键的成长动力。随着电子健康记录 (EHR)、人工智慧诊断和连网医疗设备的日益普及，医疗机构正在产生​​大量资料。公司正在认识到这些资料的价值，并利用这些数据来开发新的收入来源、优化患者护理并提高营运效率。

数位平台的进步、云端服务的普及以及技术提供者和医疗保健组织之间的策略合作推动了对医疗保健资料货币化解决方案的需求。随着医疗保健系统产生和储存前所未有的大量患者资料，企业正在利用分析、人工智慧和机器学习来提取可操作的见解。这些见解使製药公司、保险公司和医疗保健提供者能够做出数据驱动的决策、简化营运并改善患者的治疗效果。随着监管机构执行严格的合规措施，各组织正在投资安全、可扩展且合规的资料货币化解决方案，以在不断变化的市场环境中保持竞争力。

直接资料货币化部分预计将大幅成长，预测期内复合年增长率预计为 19.4%。企业越来越多地利用其专有资料来开发新服务、优化产品供应和提高营运效率。直接货币化允许医疗保健组织透过出售去识别的患者资料、提供分析即服务以及许可资料集用于研究目的来创造收入。同时，间接资料货币化仍然是一项关键策略，因为公司利用资料洞察来加强行销力度、推动客户参与并改善业务决策流程。

基于云端的解决方案继续主导医疗资料货币化市场，到 2024 年将占据 70% 的市场份额。对云端技术的日益依赖源于其能够提供经济高效、可扩展且易于存取的解决方案。基于云端的平台使医疗保健提供者能够远端管理和分析资料，从而无需昂贵的内部基础设施。透过自动更新、增强的安全功能以及与人工智慧分析工具的无缝集成，基于云端的资料货币化解决方案正在彻底改变医疗保健行业管理和利用资料资产的方式。

2022 年美国医疗保健数据货币化解决方案市值为 2.802 亿美元，持续引领北美。该国完善的医疗保健基础设施，加上其早期采用的数位转型倡议，加速了对数据驱动解决方案的需求。美国各地的医疗机构正在利用人工智慧分析、预测模型和区块链技术安全合规地将患者资料货币化。随着医疗保健产业的发展，资料货币化正在成为创收策略不可或缺的组成部分，使美国成为这个快速扩张的市场的领导者。

目录

第一章：方法论与范围

第二章：执行摘要

第三章：行业洞察

• 产业生态系统分析
• 产业衝击力
  • 成长动力
    • 电子健康记录（EHR）的采用率不断提高
    • 数位健康解决方案的采用率不断提高
    • 资料分析技术进步
    • 动态采用人工智慧驱动的解决方案，简化数位健康货币化项目
  • 产业陷阱与挑战
    • 监管限制
    • 资料隐私和安全问题
• 成长潜力分析
• 技术格局
• 监管格局
• 波特的分析
• PESTEL分析
• 差距分析

第四章：竞争格局

• 介绍
• 公司市占率分析
• 主要市场参与者的竞争分析
• 竞争定位矩阵
• 策略仪表板

第五章：市场估计与预测：按类型，2021 年至 2034 年

• 主要趋势
• 直接资料货币化
• 间接资料货币化

第六章：市场估计与预测：依部署类型，2021 年至 2034 年

• 主要趋势
• 本地部署
• 云

第七章：市场估计与预测：按应用，2021 年至 2032 年

• 主要趋势
• 预测分析与疾病管理
• 人口健康管理
• 收入周期管理
• 精准医疗
• 其他应用

第八章：市场估计与预测：按资料类型，2021 年至 2034 年

• 主要趋势
• 临床资料
• 索赔资料
• EHR资料
• 基因组资料
• 其他资料类型

第九章：市场估计与预测：依最终用途，2021 年至 2032 年

• 製药和生物技术公司
• 医疗保健付款人
• 医疗保健提供者
• 医疗科技公司
• 其他最终用途

第 10 章：市场估计与预测：按地区，2021 年至 2032 年（百万美元）

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 德国
  • 英国
  • 法国
  • 义大利
  • 西班牙
  • 荷兰
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
• 中东和非洲
  • 南非
  • 沙乌地阿拉伯
  • 阿联酋

第 11 章：公司简介

• Accenture
• Google
• H1
• IBM
• Infor
• Innovaccer
• LexisNexis Risk Solutions
• Microsoft
• Oracle
• Salesforce
• SAS Institute
• Siemens Healthineers
• Snowflake
• Thoughtspot
• Verato

The Global Healthcare Data Monetization Solutions Market was valued at USD 998.3 million in 2024 and is projected to grow at a CAGR of 18.2% between 2025 and 2034. The healthcare industry is undergoing a digital revolution, and data monetization is emerging as a crucial growth driver. With the increasing adoption of electronic health records (EHRs), AI-powered diagnostics, and connected medical devices, healthcare institutions are generating vast amounts of data. Companies are recognizing the value of this data, using it to develop new revenue streams, optimize patient care, and enhance operational efficiency.

The demand for healthcare data monetization solutions is being fueled by advancements in digital platforms, the proliferation of cloud-based services, and strategic collaborations between technology providers and healthcare organizations. As healthcare systems generate and store an unprecedented amount of patient data, businesses are leveraging analytics, AI, and machine learning to extract actionable insights. These insights are enabling pharmaceutical companies, insurers, and healthcare providers to make data-driven decisions, streamline operations, and improve patient outcomes. With regulatory bodies enforcing stringent compliance measures, organizations are investing in secure, scalable, and compliant data monetization solutions to remain competitive in the evolving market landscape.

The direct data monetization segment is expected to witness substantial growth, with a projected CAGR of 19.4% during the forecast period. Businesses are increasingly capitalizing on their proprietary data by developing new services, optimizing product offerings, and improving operational efficiencies. Direct monetization allows healthcare organizations to generate revenue by selling de-identified patient data, offering analytics-as-a-service, and licensing datasets for research purposes. Meanwhile, indirect data monetization remains a critical strategy, as companies utilize data insights to enhance marketing efforts, drive customer engagement, and improve business decision-making processes.

Cloud-based solutions continue to dominate the healthcare data monetization market, holding a 70% market share in 2024. The growing reliance on cloud technology stems from its ability to offer cost-effective, scalable, and easily accessible solutions. Cloud-based platforms empower healthcare providers to manage and analyze data remotely, eliminating the need for expensive on-premises infrastructure. With automatic updates, enhanced security features, and seamless integration with AI-driven analytics tools, cloud-based data monetization solutions are revolutionizing how the healthcare sector manages and leverages data assets.

The U.S. Healthcare Data Monetization Solutions Market was valued at USD 280.2 million in 2022 and continues to lead North America. The country's well-established healthcare infrastructure, coupled with its early adoption of digital transformation initiatives, has accelerated the demand for data-driven solutions. Healthcare institutions across the U.S. are leveraging AI-powered analytics, predictive modeling, and blockchain technology to monetize patient data securely and compliantly. As the healthcare sector evolves, data monetization is becoming an integral component of revenue generation strategies, positioning the U.S. as a frontrunner in this rapidly expanding market.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Increasing adoption of electronic health records (EHRs)
    • 3.2.1.2 Growing adoptability of digital health solutions
    • 3.2.1.3 Technological advancement in data analysis
    • 3.2.1.4 Dynamic adoption of AI-driven solutions streamlining digital health monetization projects
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 Regulatory constraints
    • 3.2.2.2 Data privacy and security concerns
• 3.3 Growth potential analysis
• 3.4 Technological landscape
• 3.5 Regulatory landscape
• 3.6 Porter's analysis
• 3.7 PESTEL analysis
• 3.8 Gap analysis

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Type, 2021 – 2034 ($ Mn)

• 5.1 Key trends
• 5.2 Direct data monetization
• 5.3 Indirect data monetization

Chapter 6 Market Estimates and Forecast, By Deployment Type, 2021 – 2034 ($ Mn)

• 6.1 Key trends
• 6.2 On-premise
• 6.3 Cloud

Chapter 7 Market Estimates and Forecast, By Application, 2021 – 2032 ($ Mn)

• 7.1 Key trends
• 7.2 Predictive analytics and disease management
• 7.3 Population health management
• 7.4 Revenue cycle management
• 7.5 Precision medicine
• 7.6 Other applications

Chapter 8 Market Estimates and Forecast, By Data Type, 2021 – 2034 ($ Mn)

• 8.1 Key trends
• 8.2 Clinical data
• 8.3 Claims data
• 8.4 EHR data
• 8.5 Genomic data
• 8.6 Other data types

Chapter 9 Market Estimates and Forecast, By End Use, 2021 – 2032 ($ Mn)

• 9.1 Pharmaceutical and biotechnology companies
• 9.2 Healthcare payers
• 9.3 Healthcare providers
• 9.4 Medical technology companies
• 9.5 Other end use

Chapter 10 Market Estimates and Forecast, By Region, 2021 – 2032 ($ Mn

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Netherlands
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 Japan
  • 10.4.3 India
  • 10.4.4 Australia
  • 10.4.5 South Korea
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 Middle East and Africa
  • 10.6.1 South Africa
  • 10.6.2 Saudi Arabia
  • 10.6.3 UAE

Chapter 11 Company Profiles

• 11.1 Accenture
• 11.2 Google
• 11.3 H1
• 11.4 IBM
• 11.5 Infor
• 11.6 Innovaccer
• 11.7 LexisNexis Risk Solutions
• 11.8 Microsoft
• 11.9 Oracle
• 11.10 Salesforce
• 11.11 SAS Institute
• 11.12 Siemens Healthineers
• 11.13 Snowflake
• 11.14 Thoughtspot
• 11.15 Verato