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市场调查报告书
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1855848

2025年全球去识别化健康数据市场报告

De-Identified Health Data Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，去识别化健康数据市场发展迅速，预计从2024年的82亿美元成长到2025年的92亿美元，复合年增长率达12.2%。这段时期的成长主要得益于电子健康记录的广泛应用、病患资料隐私意识的提高、医疗保健分析技术的日益普及、人口健康管理研究的扩展、医疗保健资讯科技系统的发展以及临床试验中资料应用的增加。

预计未来几年，去识别化健康数据市场将快速成长，到2029年市场规模将达到144亿美元，复合年增长率（CAGR）为11.8%。预测期内的成长主要受以下因素驱动：人工智慧在医疗保健领域的应用日益广泛、药物研发中对真实世界证据的需求不断增长、对健康数据二次利用的关注度提高、对隐私增强技术的需求不断增长以及精准医疗的需求日益增长。预测期内的关键趋势包括：资料隐私通讯协定的发展、机器学习流程的建构、与电子健康记录的整合、与人群健康平台的整合以及资料匿名化技术的创新。

电子健康记录)的日益普及预计将在未来几年推动去识别化健康数据市场的扩张。 电子健康记录是患者完整病历的数位化记录，包括诊断、治疗、用药、检验结果和其他健康相关信息，这些信息安全存储，并仅供授权的医疗专业人员访问。 EHR 的日益普及源于其透过准确、即时地存取全面的临床数据来改善病患照护和安全的潜力。去识别化健康电子健康记录透过实现安全的资料共用和应用进阶分析，同时确保病患隐私，从而增强了电子健康记录的功能。这有助于做出更明智的临床决策，并最终改善医疗保健效果。例如，英国政府部门卫生和社会保障部于2022年6月报告称，所有NHS信託机构预计将在2025年3月前采用电子健康电子健康记录），高于2023年12月的90%采用率。因此，电子健康记录的日益普及正在推动去识别化健康数据市场的扩张。

去识别化健康数据市场的关键参与者正在开发新技术，例如真实世界生物标记覆盖率应用，以支援数据主导的医疗决策。真实世界生物标记覆盖率应用利用去识别化的患者数据，在受控临床环境之外的不同人群中监测和评估生物标誌物的趋势和有效性。这使得医疗服务提供者和研究人员能够深入了解治疗结果和疾病模式。例如，2025年7月，总部位于美国的医疗技术公司Datma Inc.推出了Federated Biomarker Explorer，这是一款免费应用程序，旨在帮助製药团队快速评估Datma数据提供商网络内的真实世界生物标誌物覆盖率。该工具提供队列层面的生物标誌物分布信息，并允许用户在无需合约或技术支援的情况下评估数据可用性。它还允许使用者安全地整合和比较自己的数据集，透过应用临床和人口统计筛选条件，确保在进行研究之前存在所需的患者群体，从而支持早期可行性评估。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球去识别化健康数据：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球去识别化健康数据市场：成长率分析
  • 全球去识别化健康数据市场表现：规模与成长，2019-2024年
  • 全球去识别化健康资料市场预测：规模与成长，2024-2029年，2034年
  • 全球去识别化健康数据：潜在市场规模 (TAM)

第六章 市场细分

  • 全球去识别化健康资料市场：按类型、表现和预测划分，2019-2024年、2024-2029年、2034年
  • 临床数据
  • 基因组数据
  • 患者属性
  • 处方数据
  • 医院和医疗服务提供者数据
  • 药物基因组学数据
  • 全球去识别化健康资料市场：按应用、效能和预测划分，2019-2024年、2024-2029年、2034年
  • 临床研究和临床试验
  • 公共卫生
  • 精准医疗
  • 卫生经济学与结果研究（HEOR）
  • 人口健康管理
  • 药物发现与开发
  • 提高医疗保健品质
  • 核保和风险评估
  • 其他用途
  • 全球去识别化健康数据市场：依最终用户划分，实际数据和预测数据，2019-2024年、2024-2029年、2034年
  • 製药公司
  • 生技公司
  • 医疗保健提供者
  • 保险公司或医疗保健支付方
  • 研究所
  • 政府机构
  • 其他最终用户
  • 全球去识别化健康资料市场：依临床资料、类型、表现及预测细分，2019-2024年、2024-2029年、2034年
  • 电子健康记录
  • 医学影像数据
  • 临床检测结果
  • 手术报告
  • 病理报告
  • 生命征象测量
  • 全球去识别化健康资料市场：依基因组资料、类型、表现及预测细分，2019-2024年、2024-2029年、2034年
  • 全基因组序列数据
  • EXOME定序数据
  • 单核苷酸多态性数据
  • 基因表现
  • 表观遗传数据
  • 全球去识别化健康资料市场：依病患属性、类型、表现和预测进行细分，2019-2024年、2024-2029年、2034年
  • 年龄资讯
  • 性别讯息
  • 种族讯息
  • 按地区
  • 社会经济地位
  • 婚姻状况
  • 全球去识别化健康资料市场：依处方资料、类型、表现和预测进行细分，2019-2024年、2024-2029年、2034年
  • 用药医嘱
  • 药物资讯
  • 处方笺续药记录
  • 药物过敏
  • 药房配药记录
  • 全球去识别化健康资料市场：按医院和医疗服务提供者资料、类型细分，实际资料和预测资料（2019-2024 年、2024-2029 年、2034 年）
  • 提供商绩效指标
  • 医疗服务成果
  • 计费数据
  • 资源使用数据
  • 全球去识别化健康资料市场：按药物基因组学资料、类型、表现和预测进行细分，2019-2024年、2024-2029年、2034年
  • 基因-药物交互作用数据
  • 副作用数据
  • 个人化治疗反应数据
  • 药物疗效波动数据

第七章 区域和国家分析

  • 全球去识别化健康资料市场：依地区、绩效及预测划分，2019-2024年、2024-2029年、2034年
  • 全球去识别化健康资料市场：按国家/地区、绩效和预测划分，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章：西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 去识别化健康数据市场：竞争格局
  • 去识别化健康数据市场：公司概况
    • UnitedHealth Group Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • IQVIA Holdings Inc Overview, Products and Services, Strategy and Financial Analysis
    • ICON Public Limited Company Overview, Products and Services, Strategy and Financial Analysis
    • Datavant Inc Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Premier Inc.
  • iMerit Technology Services Pvt. Ltd.
  • Tempus Labs Inc.
  • Medidata Solutions Inc.
  • Veradigm Inc.
  • Flatiron Health
  • Merative LP
  • Komodo Health Inc.
  • Shaip Inc.
  • Truveta Inc.
  • Evidation Health Inc.
  • TriNetX Inc.
  • Clarify Health Solutions Inc.
  • Akrivia Health Ltd.
  • Gradient Health Inc.

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年去识别化健康数据市场：提供新机会的国家
  • 2029年去识别化健康数据市场：新兴细分市场机会
  • 2029年去识别化健康数据市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r38497

De-identified health data refers to patient information from which all personally identifiable details, such as names, addresses, and social security numbers, have been removed, making it impossible to trace the data back to any individual. It enables healthcare providers, researchers, and organizations to analyze trends, improve treatments, and develop effective public health strategies while maintaining patient privacy.

The primary types of de-identified health data include clinical data, genomic data, patient demographics, prescription data, hospital and provider data, and pharmacogenomic data. Clinical data consists of health-related information collected during healthcare delivery, including medical history, diagnoses, treatments, laboratory results, and outcomes. This data is applied across multiple areas, including clinical research and trials, public health, precision medicine, health economics and outcomes research (HEOR), population health management, drug discovery and development, healthcare quality improvement, insurance underwriting and risk assessment, and more. Key end users include pharmaceutical companies, biotechnology firms, healthcare providers, insurance companies and payers, research institutions, government agencies, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The sudden escalation of U.S. tariffs and the consequent trade frictions in spring 2025 are severely impacting the healthcare sector, particularly in the supply of critical medical devices, diagnostic equipment, and pharmaceuticals. Hospitals and healthcare providers are facing higher costs for imported surgical instruments, imaging equipment, and consumables such as syringes and catheters, many of which have limited domestic alternatives. These increased costs are straining healthcare budgets, leading some providers to delay equipment upgrades or pass on expenses to patients. Additionally, tariffs on raw materials and components are disrupting the production of essential drugs and devices, causing supply chain bottlenecks. In response, the industry is diversifying sourcing strategies, boosting local manufacturing where possible, and advocating for tariff exemptions on life-saving medical products.

The de-identified health data market research report is one of a series of new reports from The Business Research Company that provides de-identified health data market statistics, including de-identified health data industry global market size, regional shares, competitors with a de-identified health data market share, detailed de-identified health data market segments, market trends and opportunities, and any further data you may need to thrive in the de-identified health data industry. This de-identified health data market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The de-identified health data market size has grown rapidly in recent years. It will grow from $8.20 billion in 2024 to $9.20 billion in 2025 at a compound annual growth rate (CAGR) of 12.2%. The growth during the historic period is attributed to the increasing adoption of electronic health records, rising awareness of patient data privacy, greater use of healthcare analytics, expanding research in population health management, growth of health information technology systems, and increased utilization of data in clinical trials.

The de-identified health data market size is expected to see rapid growth in the next few years. It will grow to $14.40 billion in 2029 at a compound annual growth rate (CAGR) of 11.8%. The growth during the forecast period is driven by the expanding application of artificial intelligence in healthcare, rising demand for real-world evidence in drug development, growing focus on the secondary use of health data, increasing demand for privacy-enhancing technologies, and the rising need for precision medicine. Key trends in the forecast period include the development of data privacy protocols, creation of machine learning pipelines, integration with electronic health records, incorporation with population health platforms, and innovations in data anonymization techniques.

The growing adoption of electronic health records is expected to support the expansion of the de-identified health data market in the coming years. Electronic health records refer to digital versions of patients' complete medical histories, including diagnoses, treatments, medications, laboratory results, and other health-related information that are securely stored and accessible by authorized healthcare professionals. The increasing use of electronic health records is driven by their ability to improve patient care and safety through accurate and real-time access to comprehensive clinical data. De-identified health data enhances the functionality of electronic health records by enabling secure data sharing and the application of advanced analytics while ensuring patient privacy. This supports better clinical decision-making and contributes to improved healthcare outcomes. For example, in June 2022, the Department of Health and Social Care, a government department based in the United Kingdom, reported that all NHS trusts are expected to implement electronic health records by March 2025, up from a ninety percent adoption rate in December 2023. As a result, the growing use of electronic health records is contributing to the expansion of the de-identified health data market.

Key companies in the de-identified health data market are developing new technologies such as real-world biomarker coverage applications to support data-driven healthcare decision-making. A real-world biomarker coverage application uses de-identified patient data to monitor and evaluate biomarker trends and their effectiveness in varied populations outside of controlled clinical environments. This enables healthcare providers and researchers to gain valuable insights into treatment outcomes and disease patterns. For instance, in July 2025, Datma Inc., a healthcare technology company based in the United States, introduced the Federated Biomarker Explorer, a free application intended for pharmaceutical teams to rapidly assess real-world biomarker coverage within Datma's network of data contributors. This tool offers cohort-level insights into biomarker distribution and allows teams to evaluate data availability without entering contracts or requiring technical support. It also enables secure integration of users' own datasets for comparison and supports early feasibility assessments by applying clinical and demographic filters to confirm the presence of needed patient populations before proceeding with studies.

In July 2025, Datavant Inc., a health information technology company based in the United States, acquired Aetion Inc. for an undisclosed amount. This acquisition is aimed at strengthening Datavant's capabilities in real-world evidence by incorporating Aetion's advanced analytics platform. The integration is intended to offer healthcare and life sciences organizations a comprehensive solution for producing high-quality, regulatory-grade insights using de-identified health data. Aetion Inc. is a real-world evidence platform also based in the United States, known for providing de-identified health data solutions through tools such as Aetion Generate.

Major players in the de-identified health data market are UnitedHealth Group Incorporated, Oracle Corporation, IQVIA Holdings Inc, ICON Public Limited Company, Datavant Inc, Premier Inc., iMerit Technology Services Pvt. Ltd., Tempus Labs Inc., Medidata Solutions Inc., Veradigm Inc., Flatiron Health, Merative LP, Komodo Health Inc., Shaip Inc., Truveta Inc., Evidation Health Inc., TriNetX Inc., Clarify Health Solutions Inc., Akrivia Health Ltd., Gradient Health Inc.

North America was the largest region in the de-identified health data market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in de-identified health data report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the de-identified health data market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The de-identified health data market includes revenues earned by entities by providing services such as medical research and clinical studies, machine learning development, public health and epidemiology, healthcare system improvement, and health economics and policy planning. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

De-Identified Health Data Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on de-identified health data market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for de-identified health data ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The de-identified health data market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Clinical Data; Genomic Data; Patient Demographics; Prescription Data; Hospital And Provider Data; Pharmacogenomic Data
  • 2) By Application: Clinical Research And Trials; Public Health; Precision Medicine; Health Economics And Outcomes Research (HEOR); Population Health Management; Drug Discovery And Development; Healthcare Quality Improvement; Insurance Underwriting And Risk Assessment; Other Applications
  • 3) By End-User: Pharmaceutical Companies; Biotechnology Firms; Healthcare Providers; Insurance Companies Or Healthcare Payers; Research Institutions; Government Agencies; Other End-Users
  • Subsegments:
  • 1) By Clinical Data: Electronic Health Records; Medical Imaging Data; Laboratory Test Results; Surgical Reports; Pathology Reports; Vital Signs Measurements
  • 2) By Genomic Data: Whole Genome Sequencing Data; Exome Sequencing Data; Single Nucleotide Polymorphism Data; Gene Expression Profiles; Epigenetic Data
  • 3) By Patient Demographics: Age Information; Gender Information; Ethnicity Information; Geographic Location; Socioeconomic Status; Marital Status
  • 4) By Prescription Data: Medication Orders; Dosage Information; Prescription Refill History; Drug Allergies; Pharmacy Dispensation Records
  • 5) By Hospital And Provider Data: Provider Performance Metrics; Care Delivery Outcomes; Billing And Claims Data; Resource Utilization Data
  • 6) By Pharmacogenomic Data: Gene-Drug Interaction Data; Adverse Drug Reaction Data; Personalized Therapy Response Data; Drug Efficacy Variation Data
  • Companies Mentioned: UnitedHealth Group Incorporated; Oracle Corporation; IQVIA Holdings Inc; ICON Public Limited Company; Datavant Inc; Premier Inc.; iMerit Technology Services Pvt. Ltd.; Tempus Labs Inc.; Medidata Solutions Inc.; Veradigm Inc.; Flatiron Health; Merative LP; Komodo Health Inc.; Shaip Inc.; Truveta Inc.; Evidation Health Inc.; TriNetX Inc.; Clarify Health Solutions Inc.; Akrivia Health Ltd.; Gradient Health Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. De-Identified Health Data Market Characteristics

3. De-Identified Health Data Market Trends And Strategies

4. De-Identified Health Data Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global De-Identified Health Data Growth Analysis And Strategic Analysis Framework

  • 5.1. Global De-Identified Health Data PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global De-Identified Health Data Market Growth Rate Analysis
  • 5.4. Global De-Identified Health Data Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global De-Identified Health Data Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global De-Identified Health Data Total Addressable Market (TAM)

6. De-Identified Health Data Market Segmentation

  • 6.1. Global De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Clinical Data
  • Genomic Data
  • Patient Demographics
  • Prescription Data
  • Hospital And Provider Data
  • Pharmacogenomic Data
  • 6.2. Global De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Clinical Research And Trials
  • Public Health
  • Precision Medicine
  • Health Economics And Outcomes Research (HEOR)
  • Population Health Management
  • Drug Discovery And Development
  • Healthcare Quality Improvement
  • Insurance Underwriting And Risk Assessment
  • Other Applications
  • 6.3. Global De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Pharmaceutical Companies
  • Biotechnology Firms
  • Healthcare Providers
  • Insurance Companies Or Healthcare Payers
  • Research Institutions
  • Government Agencies
  • Other End-Users
  • 6.4. Global De-Identified Health Data Market, Sub-Segmentation Of Clinical Data, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Electronic Health Records
  • Medical Imaging Data
  • Laboratory Test Results
  • Surgical Reports
  • Pathology Reports
  • Vital Signs Measurements
  • 6.5. Global De-Identified Health Data Market, Sub-Segmentation Of Genomic Data, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Whole Genome Sequencing Data
  • Exome Sequencing Data
  • Single Nucleotide Polymorphism Data
  • Gene Expression Profiles
  • Epigenetic Data
  • 6.6. Global De-Identified Health Data Market, Sub-Segmentation Of Patient Demographics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Age Information
  • Gender Information
  • Ethnicity Information
  • Geographic Location
  • Socioeconomic Status
  • Marital Status
  • 6.7. Global De-Identified Health Data Market, Sub-Segmentation Of Prescription Data, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Medication Orders
  • Dosage Information
  • Prescription Refill History
  • Drug Allergies
  • Pharmacy Dispensation Records
  • 6.8. Global De-Identified Health Data Market, Sub-Segmentation Of Hospital And Provider Data, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Provider Performance Metrics
  • Care Delivery Outcomes
  • Billing And Claims Data
  • Resource Utilization Data
  • 6.9. Global De-Identified Health Data Market, Sub-Segmentation Of Pharmacogenomic Data, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Gene-Drug Interaction Data
  • Adverse Drug Reaction Data
  • Personalized Therapy Response Data
  • Drug Efficacy Variation Data

7. De-Identified Health Data Market Regional And Country Analysis

  • 7.1. Global De-Identified Health Data Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global De-Identified Health Data Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific De-Identified Health Data Market

  • 8.1. Asia-Pacific De-Identified Health Data Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China De-Identified Health Data Market

  • 9.1. China De-Identified Health Data Market Overview
  • 9.2. China De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India De-Identified Health Data Market

  • 10.1. India De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan De-Identified Health Data Market

  • 11.1. Japan De-Identified Health Data Market Overview
  • 11.2. Japan De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia De-Identified Health Data Market

  • 12.1. Australia De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia De-Identified Health Data Market

  • 13.1. Indonesia De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea De-Identified Health Data Market

  • 14.1. South Korea De-Identified Health Data Market Overview
  • 14.2. South Korea De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe De-Identified Health Data Market

  • 15.1. Western Europe De-Identified Health Data Market Overview
  • 15.2. Western Europe De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK De-Identified Health Data Market

  • 16.1. UK De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany De-Identified Health Data Market

  • 17.1. Germany De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France De-Identified Health Data Market

  • 18.1. France De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy De-Identified Health Data Market

  • 19.1. Italy De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain De-Identified Health Data Market

  • 20.1. Spain De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe De-Identified Health Data Market

  • 21.1. Eastern Europe De-Identified Health Data Market Overview
  • 21.2. Eastern Europe De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia De-Identified Health Data Market

  • 22.1. Russia De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America De-Identified Health Data Market

  • 23.1. North America De-Identified Health Data Market Overview
  • 23.2. North America De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA De-Identified Health Data Market

  • 24.1. USA De-Identified Health Data Market Overview
  • 24.2. USA De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada De-Identified Health Data Market

  • 25.1. Canada De-Identified Health Data Market Overview
  • 25.2. Canada De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America De-Identified Health Data Market

  • 26.1. South America De-Identified Health Data Market Overview
  • 26.2. South America De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil De-Identified Health Data Market

  • 27.1. Brazil De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East De-Identified Health Data Market

  • 28.1. Middle East De-Identified Health Data Market Overview
  • 28.2. Middle East De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa De-Identified Health Data Market

  • 29.1. Africa De-Identified Health Data Market Overview
  • 29.2. Africa De-Identified Health Data Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa De-Identified Health Data Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa De-Identified Health Data Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. De-Identified Health Data Market Competitive Landscape And Company Profiles

  • 30.1. De-Identified Health Data Market Competitive Landscape
  • 30.2. De-Identified Health Data Market Company Profiles
    • 30.2.1. UnitedHealth Group Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. IQVIA Holdings Inc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. ICON Public Limited Company Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Datavant Inc Overview, Products and Services, Strategy and Financial Analysis

31. De-Identified Health Data Market Other Major And Innovative Companies

  • 31.1. Premier Inc.
  • 31.2. iMerit Technology Services Pvt. Ltd.
  • 31.3. Tempus Labs Inc.
  • 31.4. Medidata Solutions Inc.
  • 31.5. Veradigm Inc.
  • 31.6. Flatiron Health
  • 31.7. Merative LP
  • 31.8. Komodo Health Inc.
  • 31.9. Shaip Inc.
  • 31.10. Truveta Inc.
  • 31.11. Evidation Health Inc.
  • 31.12. TriNetX Inc.
  • 31.13. Clarify Health Solutions Inc.
  • 31.14. Akrivia Health Ltd.
  • 31.15. Gradient Health Inc.

32. Global De-Identified Health Data Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The De-Identified Health Data Market

34. Recent Developments In The De-Identified Health Data Market

35. De-Identified Health Data Market High Potential Countries, Segments and Strategies

  • 35.1 De-Identified Health Data Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 De-Identified Health Data Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 De-Identified Health Data Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer