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市场调查报告书
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1587521

去识别化健康资料市场规模、份额和趋势分析报告：2024-2030 年按资料类型、最终用途、应用程式、地区和细分市场进行的预测

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个工作天内

价格

去识别化健康资料市场成长与趋势

Grand View Research, Inc.最新报告显示，预计到2030年，全球去识别化医疗资料市场规模将达到135.9亿美元，2024年至2030年复合年增长率为9.0%。

市场成长的关键驱动力是医疗保健领域对资料分析的需求不断增长，以支持人口健康研究和预测建模，同时确保患者隐私。围绕着资料保护不断增加的监管压力，加上人工智慧和机器学习的进步，对大规模去识别资料集的需求不断增长。此外，穿戴式装置和电子健康记录（EHR）资料的激增正在产生大量适合去识别化和二次使用的信息，进一步推动市场需求。

去识别化资料用于透过分析与药房和健康计划中的患者登记相关的模式来深入了解保险状况。这些资料使公司能够在不损害隐私的情况下识别主要和次要付款人、评估保险趋势并了解患者人口统计资料。例如，2024 年 6 月，Komodo Health 宣布推出 Komodo 病患保险 (KPI)。这项新颖的资料提供了对超过 2 亿美国患者的保险状况的详细了解。此资源精确定位患者的药局和健康保险承保范围，并详细介绍跨通路和地理区域的主要和次要付款人资讯。此 KPI 可协助商业、市场准入、医疗事务和健康经济成果研究 (HEOR) 团队有效解决与病患登记和付款人映射相关的关键业务问题。

此外，主要市场参与企业之间不断增加的联盟与合作预计将推动市场成长。例如，2024 年 3 月，Verantos 宣布与 Curimeta 建立合作伙伴关係，以加强去识别化健康资料在临床研究中的使用。此合作关係的重点是改善现实世界的证据生成，同时透过强大的资料去识别流程确保患者隐私。透过利用 Curimeta 的资料科学能力和 Verantos 的真实资料专业知识，这项伙伴关係旨在推动医疗保健创新并提供宝贵的见解，以改善患者的治疗结果。关注去识别化资料对于促进安全资料共用和遵守监管标准至关重要。

去识别化健康资料市场报告亮点

  • 按资料类型划分，临床资料区段在市场中占据主导地位，到 2023 年，其份额约为 17.0%。该细分市场的主导地位是由于其在研究、治疗开发和患者照护优化方面的重要作用。
  • 按应用划分，临床研究和实验室检测领域占2023年最大的销售份额，为14.5%。这是因为它们在推进治疗方法、医疗设备创新和病人安全方面发挥关键作用。
  • 按最终用途划分，医疗提供者细分市场在 2023 年占据最大收益占有率。医疗保健提供者细分市场因其在临床决策、治疗优化和改善患者治疗结果方面的关键作用而处于市场领先地位。
  • 北美地区在 2023 年占据市场主导地位，销售额份额为 31.8%。该地区拥有先进的医疗基础设施，并进行了大量技术投资，特别是在资料分析和人工智慧方面。

目录

第一章调查方法和范围

第 2 章执行摘要

第三章 去识别化健康资料市场变数、趋势和范围

  • 市场体系展望
    • 母市场展望
    • 相关/附随市场展望
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
  • 去识别化健康资料市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析
    • COVID-19 的影响

第四章 去识别化健康资料市场：依资料类型估算及趋势分析

  • 资料类型市场占有率，2023 年和 2030 年
  • 细分仪表板
  • 按资料类型分類的全球匿名健康资料市场展望
  • 临床资料
  • 基因组资料
  • 患者人口统计
  • 配方资料
  • 索赔资料
  • 行为资料
  • 穿戴式装置和感测器资料
  • 研究和患者报告的资料
  • 影像资料
  • 检验资料
  • 医院和提供者资料
  • 健康的社会决定因素 (SDoH)资料
  • 药物基因组资料
  • 生物识别资料
  • 营运和财务资料
  • 流行病学资料
  • 医疗利用资料
  • 其他的

第五章 去识别化健康资料市场：依最终用途进行估算与趋势分析

  • 2023 年及 2030 年最终用途市场占有率
  • 细分仪表板
  • 按最终用途分類的全球匿名健康资料市场展望
  • 製药公司
  • 生技公司
  • 医疗设备製造商
  • 医疗提供者
  • 保险公司/医疗付款人
  • 研究所
  • 政府机构
  • 其他的

第六章 去识别化健康资料市场：应用、预估与趋势分析

  • 2023年及2030年应用市场占有率
  • 细分仪表板
  • 按应用分類的全球匿名健康资料市场前景
  • 临床研究和临床实验
  • 公共卫生
  • 精准医疗
  • 卫生经济学和结果研究（HEOR）
  • 人口健康管理
  • 药物发现与开发
  • 提高医疗品质
  • 核保和风险评估
  • 市场进入和商业策略
  • 商业智慧和营运效率
  • 远端医疗和远端监控
  • 病人参与和支持计划
  • 其他的

第 7 章 去识别化健康资料市场：区域估计和趋势分析，依资料类型、最终用途、应用

  • 2023 年及 2030 年按地区分類的市场占有率分析
  • 区域市场仪表板
  • 全球区域市场简介
  • 2018-2030年市场规模、预测趋势分析
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 挪威
    • 瑞典
    • 丹麦
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 韩国
    • 泰国
  • 拉丁美洲
    • 巴西
    • 阿根廷
  • 中东/非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 科威特

第八章 竞争格局

  • 主要市场参与企业的最新趋势和影响分析
  • 公司/竞争对手分类
  • 创新者
  • 供应商情况
    • 主要经销商及通路伙伴名单
    • 2023年主要企业市场占有率分析
    • 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