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市場調查報告書
商品編碼
1855848

2025年全球去識別化健康數據市場報告

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個工作天內

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簡介目錄

近年來，去識別化健康數據市場發展迅速，預計從2024年的82億美元成長到2025年的92億美元，複合年成長率達12.2%。這段時期的成長主要得益於電子健康記錄的廣泛應用、病患資料隱私意識的提高、醫療保健分析技術的日益普及、人口健康管理研究的擴展、醫療保健資訊科技系統的發展以及臨床試驗中資料應用的增加。

預計未來幾年，去識別化健康數據市場將快速成長，到2029年市場規模將達到144億美元，複合年成長率（CAGR）為11.8%。預測期內的成長主要受以下因素驅動：人工智慧在醫療保健領域的應用日益廣泛、藥物研發中對真實世界證據的需求不斷成長、對健康數據二次利用的關注度提高、對隱私增強技術的需求不斷成長以及精準醫療的需求日益成長。預測期內的關鍵趨勢包括：資料隱私通訊協定的發展、機器學習流程的建構、與電子健康記錄的整合、與人群健康平台的整合以及資料匿名化技術的創新。

電子健康記錄)的日益普及預計將在未來幾年推動去識別化健康數據市場的擴張。 電子健康記錄是患者完整病歷的數位化記錄，包括診斷、治療、用藥、檢驗結果和其他健康相關資訊，這些資訊安全存儲，並僅供授權的醫療專業人員訪問。 EHR 的日益普及源於其透過準確、即時地存取全面的臨床數據來改善病患照護和安全的潛力。去識別化健康電子健康記錄透過實現安全的資料共用和應用進階分析，同時確保病患隱私，從而增強了電子健康記錄的功能。這有助於做出更明智的臨床決策，並最終改善醫療保健效果。例如，英國政府部門衛生和社會保障部於2022年6月報告稱，所有NHS信託機構預計將在2025年3月前採用電子健康電子健康記錄），高於2023年12月的90%採用率。因此，電子健康記錄的日益普及正在推動去識別化健康數據市場的擴張。

去識別化健康數據市場的關鍵參與者正在開發新技術，例如真實世界生物標記覆蓋率應用，以支援數據主導的醫療決策。真實世界生物標記覆蓋率應用利用去識別化的患者數據，在受控臨床環境之外的不同人群中監測和評估生物標記的趨勢和有效性。這使得醫療服務提供者和研究人員能夠深入了解治療結果和疾病模式。例如，2025年7月，總部位於美國的醫療技術公司Datma Inc.推出了Federated Biomarker Explorer，這是一款免費應用程式，旨在幫助製藥團隊快速評估Datma數據提供商網路內的真實世界生物標記覆蓋率。該工具提供隊列層面的生物標記分佈資訊，並允許用戶在無需合約或技術支援的情況下評估數據可用性。它還允許使用者安全地整合和比較自己的資料集，透過應用臨床和人口統計篩選條件，確保在進行研究之前存在所需的患者群體，從而支持早期可行性評估。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球去識別化健康數據：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球去識別化健康數據市場：成長率分析
  • 全球去識別化健康數據市場表現：規模與成長，2019-2024年
  • 全球去識別化健康資料市場預測：規模與成長，2024-2029年，2034年
  • 全球去識別化健康數據：潛在市場規模 (TAM)

第6章 市場細分

  • 全球去識別化健康資料市場：按類型、表現和預測分類，2019-2024年、2024-2029年、2034年
  • 臨床數據
  • 基因組數據
  • 患者屬性
  • 處方數據
  • 醫院和醫療服務提供者數據
  • 藥物基因組學數據
  • 全球去識別化健康資料市場：按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 臨床研究和臨床試驗
  • 公共衛生
  • 精準醫療
  • 衛生經濟學與結果研究（HEOR）
  • 人口健康管理
  • 藥物發現與開發
  • 提高醫療保健品質
  • 核保和風險評估
  • 其他用途
  • 全球去識別化健康數據市場：依最終用戶分類，實際數據和預測數據，2019-2024年、2024-2029年、2034年
  • 製藥公司
  • 生技公司
  • 醫療保健提供者
  • 保險公司或醫療保健支付方
  • 研究所
  • 政府機構
  • 其他最終用戶
  • 全球去識別化健康資料市場：依臨床資料、類型、表現及預測細分，2019-2024年、2024-2029年、2034年
  • 電子健康記錄
  • 醫學影像數據
  • 臨床檢測結果
  • 手術報告
  • 病理報告
  • 生命徵象測量
  • 全球去識別化健康資料市場：依基因組資料、類型、表現及預測細分，2019-2024年、2024-2029年、2034年
  • 全基因組序列數據
  • EXOME定序數據
  • 單核苷酸多態性數據
  • 基因表現
  • 表觀遺傳數據
  • 全球去識別化健康資料市場：依病患屬性、類型、表現和預測進行細分，2019-2024年、2024-2029年、2034年
  • 年齡資訊
  • 性別訊息
  • 種族訊息
  • 按地區
  • 社會經濟地位
  • 婚姻狀況
  • 全球去識別化健康資料市場：依處方資料、類型、表現和預測進行細分，2019-2024年、2024-2029年、2034年
  • 用藥醫囑
  • 藥物資訊
  • 處方箋續藥記錄
  • 藥物過敏
  • 藥房配藥記錄
  • 全球去識別化健康資料市場：按醫院和醫療服務提供者資料、類型細分，實際資料和預測資料（2019-2024 年、2024-2029 年、2034 年）
  • 提供商績效指標
  • 醫療服務成果
  • 計費數據
  • 資源使用數據
  • 全球去識別化健康資料市場：按藥物基因組學資料、類型、表現和預測進行細分，2019-2024年、2024-2029年、2034年
  • 基因-藥物交互作用數據
  • 副作用數據
  • 個人化治療反應數據
  • 藥物療效波動數據

第7章 區域和國家分析

  • 全球去識別化健康資料市場：依地區、績效及預測分類，2019-2024年、2024-2029年、2034年
  • 全球去識別化健康資料市場：按國家/地區、績效和預測分類，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章：西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 去識別化健康數據市場：競爭格局
  • 去識別化健康數據市場：公司概況
    • 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：其他領先和創新企業

  • 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 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年去識別化健康數據市場：提供新機會的國家
  • 2029年去識別化健康數據市場：新興細分市場機會
  • 2029年去識別化健康數據市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
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