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1587521

去識別化健康資料市場規模、佔有率和趨勢分析報告：2024-2030 年按資料類型、最終用途、應用程式、地區和細分市場進行的預測

De-identified Health Data Market Size, Share & Trends Analysis Report By Type Of Data (Clinical, Genomic), By End-use (Pharmaceutical Companies, Biotechnology Firms), By Application, By Region, And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 120 Pages | 商品交期: 2-10個工作天內

價格

去識別化健康資料市場成長與趨勢

Grand View Research, Inc.最新報告顯示，預計到2030年，全球去識別化醫療資料市場規模將達到135.9億美元，2024年至2030年複合年成長率為9.0%。

市場成長的關鍵驅動力是醫療保健領域對資料分析的需求不斷成長，以支持人口健康研究和預測建模，同時確保患者隱私。圍繞著資料保護不斷增加的監管壓力，加上人工智慧和機器學習的進步，對大規模去識別資料集的需求不斷成長。此外，穿戴式裝置和電子健康記錄（EHR）資料的激增正在產生大量適合去識別化和二次使用的資訊，進一步推動市場需求。

去識別化資料用於透過分析與藥房和健康計劃中的患者登記相關的模式來深入了解保險狀況。這些資料使公司能夠在不損害隱私的情況下識別主要和次要付款人、評估保險趨勢並了解患者人口統計資料。例如，2024 年 6 月，Komodo Health 宣布推出 Komodo 病患保險 (KPI)。這項新穎的資料提供了對超過 2 億美國患者的保險狀況的詳細了解。此資源精確定位患者的藥局和健康保險承保範圍，並詳細介紹跨通路和地理區域的主要和次要付款人資訊。此 KPI 可協助商業、市場准入、醫療事務和健康經濟成果研究 (HEOR) 團隊有效解決與病患登記和付款人映射相關的關鍵業務問題。

此外，主要市場參與企業之間不斷增加的聯盟與合作預計將推動市場成長。例如，2024 年 3 月，Verantos 宣布與 Curimeta 建立合作夥伴關係，以加強去識別化健康資料在臨床研究中的使用。此合作關係的重點是改善現實世界的證據生成，同時透過強大的資料去識別流程確保患者隱私。透過利用 Curimeta 的資料科學能力和 Verantos 的真實資料專業知識，這項夥伴關係旨在推動醫療保健創新並提供寶貴的見解，以改善患者的治療結果。關注去識別化資料對於促進安全資料共用和遵守監管標準至關重要。

去識別化健康資料市場報告亮點

  • 按資料類型分類，臨床資料區段在市場中佔據主導地位，到 2023 年，其佔有率約為 17.0%。該細分市場的主導地位是由於其在研究、治療開發和患者照護最佳化方面的重要作用。
  • 按應用分類，臨床研究和實驗室檢測領域佔2023年最大的銷售佔有率，為14.5%。這是因為它們在推進治療方法、醫療設備創新和病人安全方面發揮關鍵作用。
  • 按最終用途分類，醫療提供者細分市場在 2023 年佔據最大收益佔有率。醫療保健提供者細分市場因其在臨床決策、治療最佳化和改善患者治療結果方面的關鍵作用而處於市場領先地位。
  • 北美地區在 2023 年佔據市場主導地位，銷售額佔有率為 31.8%。該地區擁有先進的醫療基礎設施，並進行了大量技術投資，特別是在資料分析和人工智慧方面。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第3章 去識別化健康資料市場變數、趨勢和範圍

  • 市場體系展望
    • 母市場展望
    • 相關/附隨市場展望
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
  • 去識別化健康資料市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析
    • COVID-19 的影響

第4章 去識別化健康資料市場：依資料類型估算及趨勢分析

  • 資料類型市場佔有率，2023 年和 2030 年
  • 細分儀表板
  • 按資料類型分類的全球匿名健康資料市場展望
  • 臨床資料
  • 基因組資料
  • 患者人口統計
  • 配方資料
  • 索賠資料
  • 行為資料
  • 穿戴式裝置和感測器資料
  • 研究和患者報告的資料
  • 影像資料
  • 檢驗資料
  • 醫院和提供者資料
  • 健康的社會決定因素 (SDoH)資料
  • 藥物基因組資料
  • 生物識別資料
  • 營運和財務資料
  • 流行病學資料
  • 醫療利用資料
  • 其他

第5章 去識別化健康資料市場：依最終用途進行估算與趨勢分析

  • 2023 年及 2030 年最終用途市場佔有率
  • 細分儀表板
  • 按最終用途分類的全球匿名健康資料市場展望
  • 製藥公司
  • 生技公司
  • 醫療設備製造商
  • 醫療提供者
  • 保險公司/醫療付款人
  • 研究所
  • 政府機構
  • 其他

第6章 去識別化健康資料市場：應用、預估與趨勢分析

  • 2023年及2030年應用市場佔有率
  • 細分儀表板
  • 按應用分類的全球匿名健康資料市場前景
  • 臨床研究和臨床實驗
  • 公共衛生
  • 精準醫療
  • 衛生經濟學和結果研究（HEOR）
  • 人口健康管理
  • 藥物發現與開發
  • 提高醫療品質
  • 核保和風險評估
  • 市場進入和商業策略
  • 商業智慧和營運效率
  • 遠端醫療和遠端監控
  • 病人參與和支持計劃
  • 其他

第 7 章 去識別化健康資料市場：區域估計和趨勢分析，依資料類型、最終用途、應用

  • 2023 年及 2030 年按地區分類的市場佔有率分析
  • 區域市場儀表板
  • 全球區域市場簡介
  • 2018-2030年市場規模、預測趨勢分析
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 挪威
    • 瑞典
    • 丹麥
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 韓國
    • 泰國
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中東/非洲
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 科威特

第8章 競爭格局

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司/競爭對手分類
  • 創新者
  • 供應商情況
    • 主要經銷商及通路夥伴名單
    • 2023年主要企業市場佔有率分析
    • IQVIA
    • Oracle（Cerner Corporation）
    • Merative（Truven Health Analytics）
    • Optum, Inc.（UnitedHealth Group）
    • ICON plc
    • Veradigm LLC（原 Allscripts）
    • IBM
    • Flatiron Health（F. Hoffmann-La Roche Ltd）
    • Premier, Inc.
    • Shaip
    • Komodo Health, Inc.
    • Evidation Health, Inc.
    • Medidata
    • Clarify Health Solutions
    • Satori Cyber Ltd.
Product Code: GVR-4-68040-481-1

De-identified Health Data Market Growth & Trends:

The global de-identified health data market size is expected to reach USD 13.59 billion by 2030, registering a CAGR of 9.0% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market's growth is primarily driven by the rising demand for data analytics in healthcare, which supports population health studies and predictive modeling while ensuring patient privacy. Increasing regulatory pressure surrounding data protection, combined with AI and machine learning advancements, is creating a growing need for large-scale, de-identified datasets. In addition, the surge in data from wearables and electronic health records (EHRs) generates substantial volumes of information suitable for de-identification and secondary use, further boosting market demand.

De-identified data is utilized to derive insights into insurance status by analyzing patterns related to patient enrollment in pharmacy and medical insurance. This data enables organizations to identify primary and secondary payers, assess coverage trends, and understand patient demographics without compromising privacy. For instance, in June 2024, Komodo Health introduced the Komodo Patient Insurance (KPI). This novel data offering provides detailed insights into the insurance status of over 200 million de-identified U.S. patients. This resource accurately identifies patients' pharmacy and medical insurance enrollment, detailing primary and secondary payer information across various channels, segments, and geographies. The KPI will assist Commercial, Market Access, Medical Affairs, and Health Economics and Outcomes Research (HEOR) teams in efficiently addressing key business questions related to patient enrollment and payer mapping.

Moreover, the increasing partnership and collaboration among the key market players are expected to drive market growth. For instance, in March 2024, Verantos announced a partnership with Curimeta to enhance the utilization of de-identified health data in clinical research. This collaboration focuses on improving real-world evidence generation while ensuring patient privacy through robust data de-identification processes. By leveraging Curimeta's data science capabilities and Verantos' expertise in real-world data, the partnership aims to provide valuable insights that can drive healthcare innovations and improve patient outcomes. The emphasis on de-identified data is crucial for facilitating secure data sharing and compliance with regulatory standards.

"The Verantos Evidence Platform uses artificial intelligence (AI) to generate unique disease-specific insights. It is critical that AI models are trained using high-quality patient care data. CuriMeta's participation will enable us to enhance our disease-specific Pragmatic Registries that are used to accelerate life sciences research."

Anand Shroff, President of Verantos

De-identified Health Data Market Report Highlights:

  • Based on the type of data, the clinical data segment dominated the market with almost 17.0% of the share in 2023. The segment's dominance is attributed to its crucial role in research, treatment development, and patient care optimization
  • Based on application, the clinical research and trials segment held the largest revenue share of 14.5% in 2023. This is attributed to its key role in advancing treatment methods, medical device innovation, and patient safety
  • Based on the end use, the healthcare providers segment held the largest revenue share in 2023. The healthcare providers segment leads the market owing to its crucial role in clinical decision-making, treatment optimization, and patient outcome improvement
  • North America dominated the market with a revenue share of 31.8% in 2023. The region has an advanced healthcare infrastructure and significant technological investment, particularly in data analytics and AI

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
    • 1.1.1. Type of data
    • 1.1.2. End use
    • 1.1.3. Application
    • 1.1.4. Regional scope
    • 1.1.5. Estimates and forecast timeline.
  • 1.2. Research Methodology
  • 1.3. Information Procurement
    • 1.3.1. Purchased database.
    • 1.3.2. GVR's internal database
    • 1.3.3. Secondary sources
    • 1.3.4. Primary research
    • 1.3.5. Details of primary research
  • 1.4. Information or Data Analysis
    • 1.4.1. Data analysis models
  • 1.5. Market Formulation & Validation
  • 1.6. Model Details
    • 1.6.1. Commodity flow analysis (Model 1)
    • 1.6.2. Approach 1: Commodity flow approach
    • 1.6.3. Volume price analysis (Model 2)
    • 1.6.4. Approach 2: Volume price analysis
  • 1.7. List of Secondary Sources
  • 1.8. List of Primary Sources
  • 1.9. Objectives

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
    • 2.2.1. Type of data outlook
    • 2.2.2. End use outlook
    • 2.2.3. Application outlook
    • 2.2.4. Regional outlook
  • 2.3. Competitive Insights

Chapter 3. De-identified Health Data Market Variables, Trends & Scope

  • 3.1. Market Lineage Outlook
    • 3.1.1. Parent market outlook
    • 3.1.2. Related/ancillary market outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market driver analysis
    • 3.2.2. Market restraint analysis
  • 3.3. De-identified Health Data Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Supplier power
      • 3.3.1.2. Buyer power
      • 3.3.1.3. Substitution threat
      • 3.3.1.4. Threat of new entrant
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic landscape
      • 3.3.2.3. Social landscape
      • 3.3.2.4. Technological landscape
      • 3.3.2.5. Environmental landscape
      • 3.3.2.6. Legal landscape
    • 3.3.3. COVID-19 Impact

Chapter 4. De-identified Health Data Market: Type of Data Estimates & Trend Analysis

  • 4.1. Type of Data Market Share, 2023 & 2030
  • 4.2. Segment Dashboard
  • 4.3. Global De-identified Health Data Market by Type of Data Outlook
  • 4.4. Clinical Data
    • 4.4.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.5. Genomic Data
    • 4.5.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.6. Patient Demographics
    • 4.6.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.7. Prescription Data
    • 4.7.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.8. Claims Data
    • 4.8.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.9. Behavioral Data
    • 4.9.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.10. Wearable and Sensor Data
    • 4.10.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.11. Survey and Patient-Reported Data
    • 4.11.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.12. Imaging Data
    • 4.12.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.13. Laboratory Data
    • 4.13.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.14. Hospital and Provider Data
    • 4.14.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.15. Social Determinants of Health (SDoH) Data
    • 4.15.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.16. Pharmacogenomic Data
    • 4.16.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.17. Biometric Data
    • 4.17.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.18. Operational and Financial Data
    • 4.18.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.19. Epidemiological Data
    • 4.19.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.20. Healthcare Utilization Data
    • 4.20.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 4.21. Others
    • 4.21.1. Market estimates and forecast 2018 - 2030 (USD Million)

Chapter 5. De-identified Health Data Market: End Use Estimates & Trend Analysis

  • 5.1. End Use Market Share, 2023 & 2030
  • 5.2. Segment Dashboard
  • 5.3. Global De-identified Health Data Market by Mode of Delivery Outlook
  • 5.4. Pharmaceutical Companies
    • 5.4.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.5. Biotechnology Firms
    • 5.5.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.6. Medical Device Manufacturers
    • 5.6.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.7. Healthcare Providers
    • 5.7.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.8. Insurance Companies/ Healthcare Payers
    • 5.8.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.9. Research Institutions
    • 5.9.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.10. Government Agencies
    • 5.10.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 5.11. Others
    • 5.11.1. Market estimates and forecast 2018 - 2030 (USD Million)

Chapter 6. De-identified Health Data Market: Application Estimates & Trend Analysis

  • 6.1. Application Market Share, 2023 & 2030
  • 6.2. Segment Dashboard
  • 6.3. Global De-identified Health Data Market by Application Outlook
  • 6.4. Clinical Research and Trials
    • 6.4.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.5. Public Health
    • 6.5.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.6. Precision Medicine
    • 6.6.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.7. Health Economics and Outcomes Research (HEOR)
    • 6.7.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.8. Population Health Management
    • 6.8.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.9. Drug Discovery and Development
    • 6.9.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.10. Healthcare Quality Improvement
    • 6.10.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.11. Insurance Underwriting and Risk Assessment
    • 6.11.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.12. Market Access and Commercial Strategy
    • 6.12.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.13. Business Intelligence and Operational Efficiency
    • 6.13.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.14. Telemedicine and Remote Monitoring
    • 6.14.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.15. Patient Engagement and Support Programs
    • 6.15.1. Market estimates and forecast 2018 - 2030 (USD Million)
  • 6.16. Others
    • 6.16.1. Market estimates and forecast 2018 - 2030 (USD Million)

Chapter 7. De-identified Health Data Market: Regional Estimates & Trend Analysis, By Type of Data, By End use, By Application

  • 7.1. Regional Market Share Analysis, 2023 & 2030
  • 7.2. Regional Market Dashboard
  • 7.3. Global Regional Market Snapshot
  • 7.4. Market Size, & Forecasts Trend Analysis, 2018 - 2030:
  • 7.5. North America
    • 7.5.1. U.S.
      • 7.5.1.1. Key country dynamics
      • 7.5.1.2. Regulatory framework/ reimbursement structure
      • 7.5.1.3. Competitive scenario
      • 7.5.1.4. U.S. market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.5.2. Canada
      • 7.5.2.1. Key country dynamics
      • 7.5.2.2. Regulatory framework/ reimbursement structure
      • 7.5.2.3. Competitive scenario
      • 7.5.2.4. Canada market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.5.3. Mexico
      • 7.5.3.1. Key country dynamics
      • 7.5.3.2. Regulatory framework/ reimbursement structure
      • 7.5.3.3. Competitive scenario
      • 7.5.3.4. Mexico market estimates and forecasts 2018 - 2030 (USD Million)
  • 7.6. Europe
    • 7.6.1. UK
      • 7.6.1.1. Key country dynamics
      • 7.6.1.2. Regulatory framework/ reimbursement structure
      • 7.6.1.3. Competitive scenario
      • 7.6.1.4. UK market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.2. Germany
      • 7.6.2.1. Key country dynamics
      • 7.6.2.2. Regulatory framework/ reimbursement structure
      • 7.6.2.3. Competitive scenario
      • 7.6.2.4. Germany market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.3. France
      • 7.6.3.1. Key country dynamics
      • 7.6.3.2. Regulatory framework/ reimbursement structure
      • 7.6.3.3. Competitive scenario
      • 7.6.3.4. France market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.4. Italy
      • 7.6.4.1. Key country dynamics
      • 7.6.4.2. Regulatory framework/ reimbursement structure
      • 7.6.4.3. Competitive scenario
      • 7.6.4.4. Italy market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.5. Spain
      • 7.6.5.1. Key country dynamics
      • 7.6.5.2. Regulatory framework/ reimbursement structure
      • 7.6.5.3. Competitive scenario
      • 7.6.5.4. Spain market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.6. Norway
      • 7.6.6.1. Key country dynamics
      • 7.6.6.2. Regulatory framework/ reimbursement structure
      • 7.6.6.3. Competitive scenario
      • 7.6.6.4. Norway market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.7. Sweden
      • 7.6.7.1. Key country dynamics
      • 7.6.7.2. Regulatory framework/ reimbursement structure
      • 7.6.7.3. Competitive scenario
      • 7.6.7.4. Sweden market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.6.8. Denmark
      • 7.6.8.1. Key country dynamics
      • 7.6.8.2. Regulatory framework/ reimbursement structure
      • 7.6.8.3. Competitive scenario
      • 7.6.8.4. Denmark market estimates and forecasts 2018 - 2030 (USD Million)
  • 7.7. Asia Pacific
    • 7.7.1. Japan
      • 7.7.1.1. Key country dynamics
      • 7.7.1.2. Regulatory framework/ reimbursement structure
      • 7.7.1.3. Competitive scenario
      • 7.7.1.4. Japan market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.7.2. China
      • 7.7.2.1. Key country dynamics
      • 7.7.2.2. Regulatory framework/ reimbursement structure
      • 7.7.2.3. Competitive scenario
      • 7.7.2.4. China market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.7.3. India
      • 7.7.3.1. Key country dynamics
      • 7.7.3.2. Regulatory framework/ reimbursement structure
      • 7.7.3.3. Competitive scenario
      • 7.7.3.4. India market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.7.4. Australia
      • 7.7.4.1. Key country dynamics
      • 7.7.4.2. Regulatory framework/ reimbursement structure
      • 7.7.4.3. Competitive scenario
      • 7.7.4.4. Australia market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.7.5. South Korea
      • 7.7.5.1. Key country dynamics
      • 7.7.5.2. Regulatory framework/ reimbursement structure
      • 7.7.5.3. Competitive scenario
      • 7.7.5.4. South Korea market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.7.6. Thailand
      • 7.7.6.1. Key country dynamics
      • 7.7.6.2. Regulatory framework/ reimbursement structure
      • 7.7.6.3. Competitive scenario
      • 7.7.6.4. Singapore market estimates and forecasts 2018 - 2030 (USD Million)
  • 7.8. Latin America
    • 7.8.1. Brazil
      • 7.8.1.1. Key country dynamics
      • 7.8.1.2. Regulatory framework/ reimbursement structure
      • 7.8.1.3. Competitive scenario
      • 7.8.1.4. Brazil market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.8.2. Argentina
      • 7.8.2.1. Key country dynamics
      • 7.8.2.2. Regulatory framework/ reimbursement structure
      • 7.8.2.3. Competitive scenario
      • 7.8.2.4. Argentina market estimates and forecasts 2018 - 2030 (USD Million)
  • 7.9. MEA
    • 7.9.1. South Africa
      • 7.9.1.1. Key country dynamics
      • 7.9.1.2. Regulatory framework/ reimbursement structure
      • 7.9.1.3. Competitive scenario
      • 7.9.1.4. South Africa market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.9.2. Saudi Arabia
      • 7.9.2.1. Key country dynamics
      • 7.9.2.2. Regulatory framework/ reimbursement structure
      • 7.9.2.3. Competitive scenario
      • 7.9.2.4. Saudi Arabia market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.9.3. UAE
      • 7.9.3.1. Key country dynamics
      • 7.9.3.2. Regulatory framework/ reimbursement structure
      • 7.9.3.3. Competitive scenario
      • 7.9.3.4. UAE market estimates and forecasts 2018 - 2030 (USD Million)
    • 7.9.4. Kuwait
      • 7.9.4.1. Key country dynamics
      • 7.9.4.2. Regulatory framework/ reimbursement structure
      • 7.9.4.3. Competitive scenario
      • 7.9.4.4. Kuwait market estimates and forecasts 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

  • 8.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 8.2. Company/Competition Categorization
  • 8.3. Innovators
  • 8.4. Vendor Landscape
    • 8.4.1. List of key distributors and channel partners
    • 8.4.2. Key customers
    • 8.4.3. Key company market share analysis, 2023
    • 8.4.4. IQVIA
      • 8.4.4.1. Company overview
      • 8.4.4.2. Financial performance
      • 8.4.4.3. Technology Type benchmarking
      • 8.4.4.4. Strategic initiatives
    • 8.4.5. Oracle (Cerner Corporation)
      • 8.4.5.1. Company overview
      • 8.4.5.2. Financial performance
      • 8.4.5.3. Technology Type benchmarking
      • 8.4.5.4. Strategic initiatives
    • 8.4.6. Merative (Truven Health Analytics)
      • 8.4.6.1. Company overview
      • 8.4.6.2. Financial performance
      • 8.4.6.3. Technology Type benchmarking
      • 8.4.6.4. Strategic initiatives
    • 8.4.7. Optum, Inc. (UnitedHealth Group)
      • 8.4.7.1. Company overview
      • 8.4.7.2. Financial performance
      • 8.4.7.3. Technology Type benchmarking
      • 8.4.7.4. Strategic initiatives
    • 8.4.8. ICON plc
      • 8.4.8.1. Company overview
      • 8.4.8.2. Financial performance
      • 8.4.8.3. Technology Type benchmarking
      • 8.4.8.4. Strategic initiatives
    • 8.4.9. Veradigm LLC (Formerly known as Allscripts)
      • 8.4.9.1. Company overview
      • 8.4.9.2. Financial performance
      • 8.4.9.3. Technology Type benchmarking
      • 8.4.9.4. Strategic initiatives
    • 8.4.10. IBM
      • 8.4.10.1. Company overview
      • 8.4.10.2. Financial performance
      • 8.4.10.3. Technology Type benchmarking
      • 8.4.10.4. Strategic initiatives
    • 8.4.11. Flatiron Health (F. Hoffmann-La Roche Ltd)
      • 8.4.11.1. Company overview
      • 8.4.11.2. Financial performance
      • 8.4.11.3. Technology Type benchmarking
      • 8.4.11.4. Strategic initiatives
    • 8.4.12. Premier, Inc.
      • 8.4.12.1. Company overview
      • 8.4.12.2. Financial performance
      • 8.4.12.3. Technology Type benchmarking
      • 8.4.12.4. Strategic initiatives
    • 8.4.13. Shaip
      • 8.4.13.1. Company overview
      • 8.4.13.2. Financial performance
      • 8.4.13.3. Technology Type benchmarking
      • 8.4.13.4. Strategic initiatives
    • 8.4.14. Komodo Health, Inc.
      • 8.4.14.1. Company overview
      • 8.4.14.2. Financial performance
      • 8.4.14.3. Technology Type benchmarking
      • 8.4.14.4. Strategic initiatives
    • 8.4.15. Evidation Health, Inc.
      • 8.4.15.1. Company overview
      • 8.4.15.2. Financial performance
      • 8.4.15.3. Technology Type benchmarking
      • 8.4.15.4. Strategic initiatives
    • 8.4.16. Medidata
      • 8.4.16.1. Company overview
      • 8.4.16.2. Financial performance
      • 8.4.16.3. Technology Type benchmarking
      • 8.4.16.4. Strategic initiatives
    • 8.4.17. Clarify Health Solutions
      • 8.4.17.1. Company overview
      • 8.4.17.2. Financial performance
      • 8.4.17.3. Technology Type benchmarking
      • 8.4.17.4. Strategic initiatives
    • 8.4.18. Satori Cyber Ltd.
      • 8.4.18.1. Company overview
      • 8.4.18.2. Financial performance
      • 8.4.18.3. Technology Type benchmarking
      • 8.4.18.4. Strategic initiatives

List of Tables

  • Table 1 List of abbreviation
  • Table 2 North America de-identified health data market, by region, 2018 - 2030 (USD Million)
  • Table 3 North America de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 4 North America de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 5 North America de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 6 U.S. de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 7 U.S. de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 8 U.S. de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 9 Canada de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 10 Canada de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 11 Canada de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 12 Mexico de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 13 Mexico de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 14 Mexico de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 15 Europe de-identified health data market, by region, 2018 - 2030 (USD Million)
  • Table 16 Europe de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 17 Europe de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 18 Europe de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 19 Germany de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 20 Germany de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 21 Germany de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 22 UK de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 23 UK de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 24 UK de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 25 France de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 26 France de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 27 France de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 28 Italy de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 29 Italy de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 30 Italy de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 31 Spain de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 32 Spain de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 33 Spain de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 34 Denmark de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 35 Denmark de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 36 Denmark de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 37 Sweden de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 38 Sweden de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 39 Sweden de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 40 Norway de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 41 Norway de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 42 Norway de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 43 Asia Pacific de-identified health data market, by region, 2018 - 2030 (USD Million)
  • Table 44 Asia Pacific de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 45 Asia Pacific de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 46 Asia Pacific de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 47 China de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 48 China de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 49 China de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 50 Japan de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 51 Japan de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 52 Japan de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 53 India de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 54 India de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 55 India de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 56 South Korea de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 57 South Korea de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 58 South Korea de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 59 Australia de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 60 Australia de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 61 Australia de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 62 Thailand de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 63 Thailand de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 64 Thailand de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 65 Latin America de-identified health data market, by region, 2018 - 2030 (USD Million)
  • Table 66 Latin America de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 67 Latin America de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 68 Latin America de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 69 Brazil de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 70 Brazil de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 71 Brazil de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 72 Argentina de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 73 Argentina de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 74 Argentina de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 75 MEA de-identified health data market, by region, 2018 - 2030 (USD Million)
  • Table 76 MEA de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 77 MEA de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 78 MEA de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 79 South Africa de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 80 South Africa de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 81 South Africa de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 82 Saudi Arabia de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 83 Saudi Arabia de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 84 Saudi Arabia de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 85 UAE de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 86 UAE de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 87 UAE de-identified health data market, by application, 2018 - 2030 (USD Million)
  • Table 88 Kuwait de-identified health data market, by type of data, 2018 - 2030 (USD Million)
  • Table 89 Kuwait de-identified health data market, by end use, 2018 - 2030 (USD Million)
  • Table 90 Kuwait de-identified health data market, by application, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Market research process
  • Fig. 2 Data triangulation techniques
  • Fig. 3 Primary research pattern
  • Fig. 4 Market research approaches
  • Fig. 5 Value-chain-based sizing & forecasting
  • Fig. 6 QFD modeling for market share assessment
  • Fig. 7 Market formulation & validation
  • Fig. 8 De-identified Health Data market: market outlook
  • Fig. 9 De-identified Health Data competitive insights
  • Fig. 10 Parent market outlook
  • Fig. 11 Related/ancillary market outlook
  • Fig. 12 Penetration and growth prospect mapping
  • Fig. 13 Industry value chain analysis
  • Fig. 14 De-identified Health Data market driver impact
  • Fig. 15 De-identified Health Data market restraint impact
  • Fig. 16 De-identified Health Data market strategic initiatives analysis
  • Fig. 17 De-identified Health Data market: Type of Data movement analysis
  • Fig. 18 De-identified Health Data market: Type of Data outlook and key takeaways
  • Fig. 19 Clinical data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 20 Genomic data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 21 Patient demographics market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 22 Prescription data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 23 Claims data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 24 Behavioral data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 25 Wearable and sensor data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 26 Survey and patient-reported data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 27 Imaging data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 28 Laboratory data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 29 Hospital and provider data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 30 Social determinants of health (SDoH) data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 31 Pharmacogenomic data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 32 Biometric data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 33 Operational and financial data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 34 Epidemiological data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 35 Healthcare utilization data market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 36 Others market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 37 De-identified Health Data market: End use analysis
  • Fig. 38 De-identified Health Data market: End use outlook and key takeaways
  • Fig. 39 Pharmaceutical companies market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 40 Biotechnology firms market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 41 Medical device manufacturers market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 42 Healthcare providers market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 43 Insurance companies/ Healthcare payers market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 44 Research institutions market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 45 Government agencies market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 46 Others market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 47 De-identified Health Data market: Application movement analysis
  • Fig. 48 De-identified Health Data market: Application outlook and key takeaways
  • Fig. 49 Clinical research and trials market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 50 Public health market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 51 Precision medicine market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 52 Health economics and outcomes research (HEOR) market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 53 Population health management market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 54 Drug discovery and development market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 55 Healthcare quality improvement market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 56 Insurance underwriting and risk assessment market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 57 Market access and commercial strategy market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 58 Business intelligence and operational efficiency market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 59 Telemedicine and remote monitoring market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 60 Patient engagement and support programs market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 61 Others market estimates and forecast, 2018 - 2030 (USD Million)
  • Fig. 62 Global de-identified health data market: Regional movement analysis
  • Fig. 63 Global de-identified health data market: Regional outlook and key takeaways
  • Fig. 64 Global de-identified health data market share and leading players
  • Fig. 65 North America market share and leading players
  • Fig. 66 Europe market share and leading players
  • Fig. 67 Asia Pacific market share and leading players
  • Fig. 68 Latin America market share and leading players
  • Fig. 69 Middle East & Africa market share and leading players
  • Fig. 70 North America: SWOT
  • Fig. 71 Europe SWOT
  • Fig. 72 Asia Pacific SWOT
  • Fig. 73 Latin America SWOT
  • Fig. 74 MEA SWOT
  • Fig. 75 North America, by country
  • Fig. 76 North America
  • Fig. 77 North America market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 78 U.S.
  • Fig. 79 U.S. market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 80 Canada
  • Fig. 81 Canada market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 82 Mexico
  • Fig. 83 Mexico market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 84 Europe
  • Fig. 85 Europe market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 86 UK
  • Fig. 87 UK market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 88 Germany
  • Fig. 89 Germany market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 90 France
  • Fig. 91 France market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 92 Italy
  • Fig. 93 Italy market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 94 Spain
  • Fig. 95 Spain market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 96 Denmark
  • Fig. 97 Denmark market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 98 Sweden
  • Fig. 99 Sweden market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 100 Norway
  • Fig. 101 Norway market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 102 Asia Pacific
  • Fig. 103 Asia Pacific market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 104 China
  • Fig. 105 China market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 106 Japan
  • Fig. 107 Japan market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 108 India
  • Fig. 109 India market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 110 Thailand
  • Fig. 111 Thailand market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 112 South Korea
  • Fig. 113 South Korea market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 114 Australia
  • Fig. 115 Australia market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 116 Latin America
  • Fig. 117 Latin America market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 118 Brazil
  • Fig. 119 Brazil market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 120 Argentina
  • Fig. 121 Argentina market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 122 Middle East and Africa
  • Fig. 123 Middle East and Africa market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 124 South Africa
  • Fig. 125 South Africa market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 126 Saudi Arabia
  • Fig. 127 Saudi Arabia market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 128 UAE
  • Fig. 129 UAE market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 130 Kuwait
  • Fig. 131 Kuwait market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 132 Market share of key market players- de-identified