+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

U.S. Retail Pharmacy De-identified Health Data Market Size, Share & Trends Analysis Report by Dataset Type (DSCSA Data, Market Basket Data, Inventory Data, Prior Authorization Data) with Growth Forecasts, 2025-2030

  • PDF Icon

    Report

  • 130 Pages
  • May 2025
  • Region: United States
  • Grand View Research
  • ID: 6098187
Description Jump to:
The U.S. Retail Pharmacy De-identified Health Data Market was valued at USD 2.90 billion in 2024, and is projected to reach USD 4.56 billion by 2030, rising at a CAGR of 7.88%. This growth is primarily driven by the rising demand for real-world evidence (RWE) and real-world data (RWD), alongside the continued expansion of value-based care (VBC) and outcome-based reimbursement models. Additionally, favorable regulatory initiatives, such as compliance with the Drug Supply Chain Security Act (DSCSA), are further fueling market expansion. The rapid adoption of VBC models is reshaping the U.S. healthcare landscape by redefining how care outcomes are evaluated, priced, and incentivized.

De-identified health data is essential for clinical research as it allows researchers to analyze large datasets while protecting patient privacy. This data identifies trends, evaluates treatment effectiveness, and supports population health studies without compromising individual identities. By leveraging de-identified data, researchers can enhance the quality of their findings and facilitate advancements in medical knowledge and practice.

For instance, in April 2023, Philips and MIT's Institute for Medical Engineering and Science (IMES) collaborated to develop an enhanced critical care dataset to advance clinical research and AI applications in healthcare. This dataset includes de-identified data from ICU patients and integrates comprehensive clinical information to support researchers and educators in gaining insights into critical care and improving patient outcomes. The initiative fosters innovation in AI-driven healthcare solutions, contributing to more accurate diagnostics and personalized treatments.

The volume and urgency of treatment approvals related to COVID-19 drove significant demand for de-identified data. Payers and providers utilized these datasets to streamline access pathways, automate administrative workflows, and support rapid decision-making. These developments also informed the evolution of policies to reduce friction in care delivery during public health emergencies. Widespread drug and medical supply shortages highlighted the need for enhanced visibility into real-time inventory data at the pharmacy level. Stakeholders, including pharmaceutical manufacturers, wholesalers, and health tech companies, invested heavily in predictive analytics and AI-based inventory tracking to proactively manage stockouts and ensure timely access to critical therapies.

U.S. Retail Pharmacy De-identified Health Data Market Report Segmentation

This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, the analyst has segmented the U.S. Retail Pharmacy de-identified health data market report on the basis of dataset type:

DSCSA Data (Revenue, USD Million; 2018-2030)

  • By Buyer Type:
  • Pharmaceutical Manufacturers
  • Drug Distributors
  • Regulatory Tech Vendors (e.g., TraceLink, LSPedia)
  • Healthcare SaaS Vendors (compliance and recall management tools)
  • Others (Federal Agencies e.g., FDA, etc.)

Market Basket Data (Revenue, USD Million; 2018-2030)

  • By Buyer Type:
  • CPG & Pharma Brands
  • Marketing & AdTech Firms
  • Health Insurers & PBMs
  • Retail Analytics Platforms
  • Others (Data Aggregators (e.g., NielsenIQ, IRI), etc.)

Prior Authorization Data (Revenue, USD Million; 2018-2030)

  • By Buyer Type:
  • Payers & PBMs
  • Pharma Market Access Teams
  • Health IT Providers
  • Consulting & Policy Firms
  • Others (Advocacy Groups, etc.)

Inventory Data (Revenue, USD Million; 2018-2030)

  • By Buyer Type:
  • Pharma Manufacturers
  • Distributors/Wholesalers
  • AI/ML Inventory Optimization Vendors
  • Others (Clinical Supply Vendors, etc.)

Episodic Data / Pharmacy Rx Claims Data (Revenue, USD Million; 2018-2030)

  • By Buyer Type:
  • Value-based Payers & ACOs
  • Pharma Outcomes Teams
  • Real-world Evidence Vendors
  • CMS & Government Organizations
  • Others (AI/ML Healthtech Firms, etc.)

This report addresses:

  • Market intelligence to enable effective decision-making
  • Market estimates and forecasts from 2018 to 2030
  • Growth opportunities and trend analyses
  • Segment and regional revenue forecasts for market assessment
  • Competition strategy and market share analysis
  • Product innovation listings for you to stay ahead of the curve

Why Should You Buy This Report?

  • Comprehensive Market Analysis: Gain detailed insights into the market across major regions and segments.
  • Competitive Landscape: Explore the market presence of key players.
  • Future Trends: Discover the pivotal trends and drivers shaping the future of the market.
  • Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions.

This product will be delivered within 1-3 business days.

Table of Contents

Chapter 1 Methodology and Scope
1.1 Market Segmentation & Scope
1.1.1 Estimates And Forecast Timeline
1.2 Objectives
1.2.1 Objective - 1
1.2.2 Objective - 2
1.3 Segment Definitions
1.3.1 DATASET TYPE
1.4 Research Methodology
1.4.1 DSCSA (DRUG Supply Chain Security Act): Research Scope And Assumption
1.4.1.1 Volume Estimation: DSCSA De-identified Data
1.4.1.2 CAGR Calculation (2025-2030)
1.4.2 Prior Authorization: Research Scope And Assumption
1.4.2.1 Volume Estimation: Prior Authorization Data
1.4.2.2 CAGR Calculation (2025-2030)
1.4.3 Market Basket Data: Research Scope And Assumption
1.4.3.1 Volume Estimation: Market Basket Data
1.4.3.2 CAGR Calculation (2025-2030)
1.4.4 Episodic Data / Pharmacy Rx Claims Data: Research Scope And Assumption
1.4.5 Inventory Data: Research Scope And Assumption
1.4.5.1 Market Share and Assumption
1.4.6 Information Procurement
1.4.6.1 Purchased database
1.4.6.2 internal database
1.4.6.3 Primary research
1.4.6.3.1 Details of the primary research
1.5 Information or Data Analysis
1.5.1 Data Analysis Models
1.6 Market Formulation & Validation
1.7 List of Secondary Sources
1.8 List of Abbreviations
Chapter 2 Executive Summary
2.1 Market Snapshot
2.2 Dataset Type - Segment Snapshot
2.3 Competitive Landscape Snapshot
Chapter 3 Industry Outlook - Market Variables, Trends & Scope
3.1 Market Lineage Outlook
3.1.1 Global Market Outlook
3.2 Market Dynamics
3.2.1 Outlook Of Key Drivers And Related Insights By Dataset Type
3.2.2 Market Driver Analysis
3.2.2.1 Increasing demand for real-world evidence (RWE) and real-world data (RWD)
3.2.2.2 Favorable regulatory support for drug supply chain transparency (DSCSA Compliance)
3.2.2.3 Growth of value-based care and outcome-based reimbursement models
3.2.3 Market Restraint Analysis
3.2.3.1 Stringent Privacy regulations and legal risk exposure
3.2.3.2 Lack of data quality and data standardization
3.2.4 Market Opportunity Analysis
3.2.4.1 Integration with digital health, AI, and analytics platforms
3.2.5 Market Challenge Analysis
3.2.5.1 Ethical concerns and public distrust in data commercialization
3.3 Buyer Analysis
3.4 Regulatory Trends
3.5 U.S. Retail Pharmacy de-identified health data market (Specific to the Five Datasets - Retail Pharmacy as Seller): By Dataset Type Level Pricing Model details
3.5.1 Drug Supply Chain Security Data (Dscsa): (Type 1 Segment) Overall Level Pricing Model Structure And Related Analysis
3.5.1.1 Pricing Model Overview
3.5.1.1.1 Model 1: Compliance-Tiered Licensing (Most Common)
3.5.1.1.2 Model 2: Subscription-Based Access to Serialized Data Streams
3.5.1.1.3 Model 3: Project-based or On-demand Query Models
3.5.1.2 Price Range Analysis
3.5.1.2.1 Retail Pharmacies as Sellers Example: CVS Health (ExtraCare Insights Platform)
3.5.1.2.2 Retail Pharmacies as Sellers Example: Walgreens
3.5.2 Market Basket Data: (Type 1 Segment) Overall Level Pricing Model Structure And Related Analysis
3.5.2.1 Pricing Model Overview
3.5.2.1.1 Model 1: Tiered Pricing Model (Most Common) (By Data Volume and Granularity)
3.5.2.1.2 Model 2: Subscription-Based Access
3.5.2.1.3 Model 3: Pay-per-Use or Custom Reports
3.5.2.2 Price Range Analysis
3.5.2.2.1 Retail Pharmacies as Sellers Example: CVS Health (ExtraCare Insights Platform)
3.5.2.2.2 Retail Pharmacies as Sellers Example: Walgreens (Retail Analytics + Loyalty Program Data)
3.5.2.2.3 Retail Pharmacies as Sellers Example: Rite Aid (Retail Pharmacy Analytics)
3.5.3 Inventory Data: (Type 1 Segment) Overall Level Pricing Model Structure And Related Analysis
3.5.3.1 Pricing Model Overview
3.5.3.1.1 Model 1: Tiered Pricing Model (By Data Freshness and Geographic Depth)
3.5.3.1.2 Model 2: Subscription-Based Access Data Feeds
3.5.3.1.3 Model 3: Pay-per-Use or Targeted Alert Modules
3.5.3.2 Price Range Analysis
3.5.3.2.1 Retail Pharmacies as Sellers Example: CVS Health
3.5.3.2.2 Retail Pharmacies as Sellers Example: Walgreens Boots Alliance
3.5.4 Prior Authorization Data: (Type 1 Segment) Overall Level Pricing Model Structure And Related Analysis
3.5.4.1 Pricing Model Overview
3.5.4.1.1 Model 1: Event-based Data Feed Pricing (Most Common)
3.5.4.1.2 Model 2: Subscription + Dashboard Access
3.5.4.1.3 Model 3: Formulary Access Strategy Packages
3.5.4.2 Price Range Analysis
3.5.4.2.1 Retail Pharmacies as Sellers Example: CVS Health (Caremark (PBM arm) and MinuteClinic)
3.5.4.2.2 Retail Pharmacies as Sellers Example: Walgreens
3.5.5 Episodic Data / Pharmacy Rx Claims Data: (Type 1 Segment) Overall Level Pricing Model Structure And Related Analysis
3.5.5.1 Pricing Model Overview
3.5.5.1.1 Model 1: De-Identified Episodic Journey Files (Static Delivery)
3.5.5.1.2 Model 2: Subscription-Based +Dashboard Or API
3.5.5.1.3 Model 3: Custom Value-Based Care Packages
3.5.5.2 Price Range Analysis
3.5.5.2.1 Retail Pharmacies as Sellers Example: CVS Health MinuteClinic and HealthHUBs
3.5.5.2.2 Retail Pharmacies as Sellers Example: Walgreens Health Corners
3.6 Industry Analysis Tools
3.6.1 Porter’s Five Forces Analysis
3.6.2 Pestle Analysis
3.7 Retail-Pharmacy Specific Trends
3.8 Technological Advancements
3.9 COVID-19 Impact Analysis
Chapter 4 U.S. Retail Pharmacy de-identified health data market (Specific to the Five Datasets - Retail Pharmacy as Seller): Dataset Type Estimates & Trend Analysis
4.1 Segment Dashboard
4.2 U.S. Retail Pharmacy De-identified Health Data Market (Specific to the Five Datasets - Retail Pharmacy as Seller): Dataset Type Analysis, 2024 & 2030 (USD Million)
4.3 Retail Pharmacy- Enabled De-Identified Health Datasets: Feature Expectations and Provider Reference Practices (By Dataset Type)
4.3.1 Data Integrity
4.3.2 Data Recency & Update Frequency
4.3.3 Data Breadth & Depth
4.3.4 Data Usability
4.3.5 Data Longitudinality
4.3.6 Value Added Services
4.4 Retail Pharmacies as Data Sellers: Score Matrix
4.5 Drug Supply Chain Security Data (DSCSA) Market: (Type 1 segment)
4.5.1 Drug Supply Chain Security Data (Dscsa) Market Estimates And Forecasts, 2018-2030 (USD Million)
4.5.2 DSCSA Data - Market Expectations By Buyer Type: (Type 2 Segment)
4.5.2.1 Pharmaceutical Manufacturers Market estimates and forecasts, 2018-2030 (USD Million)
4.5.2.2 Drug Distributors Market estimates and forecasts, 2018-2030 (USD Million)
4.5.2.3 Regulatory Tech Vendors (e.g., TraceLink, LSPedia) Market estimates and forecasts, 2018-2030 (USD Million)
4.5.2.4 Healthcare SaaS Vendors Market estimates and forecasts, 2018-2030 (USD Million)
4.5.2.5 Others (Federal Agencies e.g., FDA, etc.) Market estimates and forecasts, 2018-2030 (USD Million)
4.6 Market Basket Data Market: (Type 1 segment)
4.6.1 Market Basket Data Market Estimates And Forecasts, 2018-2030 (USD Million)
4.6.2 Market Basket Data -Market Expectations By Buyer Type: (Type 2 Segment)
4.6.2.1 CPG & Pharma Brands Market estimates and forecasts, 2018-2030 (USD Million)
4.6.2.2 Marketing & AdTech Firms Market estimates and forecasts, 2018-2030 (USD Million)
4.6.2.3 Health Insurers & PBMs Market estimates and forecasts, 2018-2030 (USD Million)
4.6.2.4 Retail Analytics Platforms Market estimates and forecasts, 2018-2030 (USD Million)
4.6.2.5 Others (Data Aggregators (e.g., NielsenIQ, IRI), etc.)) Market estimates and forecasts, 2018-2030 (USD Million)
4.7 Inventory Data Market: (Type 1 segment)
4.7.1 Inventory Data Market Estimates And Forecasts, 2018-2030 (USD Million)
4.7.2 Inventory Data - Market Expectations By Buyer Type: (Type 2 Segment)
4.7.2.1 Pharma Manufacturers Market estimates and forecasts, 2018-2030 (USD Million)
4.7.2.2 Distributors/Wholesalers Market estimates and forecasts, 2018-2030 (USD Million)
4.7.2.3 AI/ML Inventory Optimization Vendors Market estimates and forecasts, 2018-2030 (USD Million)
4.7.2.4 Others (Clinical Supply Vendors, etc.) Market estimates and forecasts, 2018-2030 (USD Million)
4.8 Prior Authorization Data Market: (Type 1 segment)
4.8.1 Prior Authorization Data Market Estimates And Forecasts, 2018-2030 (USD Million)
4.8.2 Prior Authorization Data - Market Expectations By Buyer Type: (Type 2 Segment)
4.8.2.1 Payers & PBMs Market estimates and forecasts, 2018-2030 (USD Million)
4.8.2.2 Pharma Market Access Teams Market estimates and forecasts, 2018-2030 (USD Million)
4.8.2.3 Health IT Providers Market estimates and forecasts, 2018-2030 (USD Million)
4.8.2.4 Consulting & Policy Firms Market estimates and forecasts, 2018-2030 (USD Million)
4.8.2.5 Others (Advocacy Groups, etc.) Market estimates and forecasts, 2018-2030 (USD Million)
4.9 Episodic / Pharmacy Rx Claims Data Market: (Type 1 segment)
4.9.1 Episodic / Pharmacy Rx Claims Data Market Estimates And Forecasts, 2018-2030 (USD Million)
4.9.2 Episodic / Pharmacy Rx Claims Data - Market Expectations By Buyer Type: (Type 2 Segment)
4.9.2.1 Value-based Payers & ACOs Market estimates and forecasts, 2018-2030 (USD Million)
4.9.2.2 Pharma Outcomes Teams Market Access Teams Market estimates and forecasts, 2018-2030 (USD Million)
4.9.2.3 Real-world Evidence Vendors Market estimates and forecasts, 2018-2030 (USD Million)
4.9.2.4 CMS & Government Organizations Market estimates and forecasts, 2018-2030 (USD Million)
4.9.2.5 Others (AI/ML Healthtech Firms, etc.) Market estimates and forecasts, 2018-2030 (USD Million)
Chapter 5 Competitive Landscape
5.1 Participants’ Overview
5.2 Financial Performance
5.2.1 Public Companies
5.2.2 Private Companies
5.3 Competitor Comparison Analysis & Benchmarking
5.3.1 CVS HEALTH
5.3.1.1 CVS Health- Estimated Pricing Models by Dataset Type
5.3.2 WALMART
5.3.2.1 Walmart - Estimated Pricing Models by Dataset Type
5.3.3 WALGREENS
5.3.3.1 Walgreens - Estimated Pricing Models by Dataset Type
5.3.3.2 Walgreens Comparative Analysis Across Datasets (vs. Retail/Specialty Peers)
5.3.4 THE KROGER CO.
5.3.4.1 THE KROGER CO.- Estimated Pricing Models by Dataset Type
5.3.5 ALBERTSON
5.3.5.1 Albertson - Estimated Pricing Models by Dataset Type
5.3.6 UNITEDHEALTH GROUP (OPTUM)
5.3.6.1 UNITEDHEALTH GROUP (OPTUM) - Estimated Pricing Models by Dataset Type
5.3.7 HUMANA
5.3.7.1 HUMANA- Estimated Pricing Models by Dataset Type
5.3.8 BRIGHTSPRING HEALTH SERVICES
5.3.8.1 BrightSpring Health Services - Estimated Pricing Models by Dataset Type
5.3.9 RITE AID CORP
5.3.9.1 Rite Aid Corp - Estimated Pricing Models by Dataset Type
5.3.10 H-E-B LP
5.3.10.1 H-E-B LP - Estimated Pricing Models by Dataset Type
5.3.11 COSTCO WHOLESALE CORPORATION
5.3.11.1 COSTCO WHOLESALE CORPORATION- Estimated Pricing Models by Dataset Type
5.3.12 CENTENE CORPORATION
5.3.12.1 Centene Corporation- Estimated Pricing Models by Dataset Type
5.3.13 KONINKLIJKE AHOLD DELHAIZE N.V.
5.3.13.1 KONINKLIJKE AHOLD DELHAIZE N.V.- Estimated Pricing Models by Dataset Type
5.3.14 AURORA HEALTH CARE (A PART OF ADVOCATE HEALTH)
5.3.14.1 Aurora Health Care (a part of Advocate Health).- Estimated Pricing Models by Dataset Type
5.3.15 BIG Y FOODS, INC.
5.3.15.1 BIG Y FOODS, INC.- Estimated Pricing Models by Dataset Type
5.3.16 BROOKSHIRE BROTHERS
5.3.16.1 BROOKSHIRE BROTHERS - Estimated Pricing Models by Dataset Type
5.3.17 WAKEFERN FOOD CORP.
5.3.17.1 Wakefern Food Corp - Estimated Pricing Models by Dataset Type
5.3.18 PUBLIX
5.3.18.1 PUBLIX - Estimated Pricing Models by Dataset Type
5.3.19 CUB (SUBSIDIARY OF UNITED NATURAL FOODS, INC.)
5.3.19.1 Cub (subsidiary of United Natural Foods, Inc.) - Estimated Pricing Models by Dataset Type
5.4 Participant Categorization
5.5 Company Market Share Analysis, 2024 (%)
5.5.1 Company Market Share Analysis, By Dscsa Dataset
5.5.2 Company Market Share Analysis By Market Basket Data Dataset
5.5.3 Company Market Share Analysis By Inventory Dataset
5.5.4 Company Market Share Analysis By Episodic Data / Pharmacy Rx Claims Data
5.5.5 Company Market Share Analysis By Prior Authorization
5.6 Strategy Mapping
5.6.1 New Service Launch
5.6.2 Partnerships And Collaboration
5.6.3 Regional Expansion
5.6.4 Others
List of Tables
TABLE 1 List of secondary sources
TABLE 2 List of abbreviations
TABLE 3 Key commercial drivers, its impact, and insights
TABLE 4 State-wise distribution of retail pharmacies in the U.S. (2024)
TABLE 5 Buyer landscape at each dataset level
List of Figures
Figure 1 U.S. Retail Pharmacy de-identified health data market segmentation
Figure 2 Market research process
Figure 3 Data triangulation techniques
Figure 4 Primary research pattern
Figure 5 Market research approaches
Figure 6 Value-chain-based sizing & forecasting
Figure 7 Market formulation & validation
Figure 8 Market snapshot
Figure 9 Dataset Type -Segment snapshot
Figure 10 Competitive landscape snapshot
Figure 11 Global De-identified Health Data vs U.S. Retail Pharmacy de-identified health data market (Specific to the Five Datasets - Retail Pharmacy as Seller) outlook, 2024, USD Billion
Figure 12 U.S. Retail Pharmacy de-identified health data market dynamics
Figure 13 U.S. Retail Pharmacy de-identified health data market : Porter’s five forces analysis
Figure 14 U.S. Retail Pharmacy de-identified health data market : PESTLE analysis
Figure 15 U.S. Retail Pharmacy de-identified health data market , Dataset Type Outlook Key Takeaways (USD million)
Figure 16 U.S. Retail Pharmacy de-identified health data market : Dataset Type Movement Analysis, 2024 & 2030 (USD Million)
Figure 17 Drug Supply Chain Security Data (DSCSA) Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 18 Pharmaceutical Manufacturers Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 19 Commercial Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 20 R&D Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 21 Drug Distributors Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 22 Regulatory Tech Vendors Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 23 Healthcare SaaS Vendors Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 24 Others Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 25 Market Basket Data Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 26 CPG & Pharma Brands Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 27 Marketing & AdTech Firms Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 28 Health Insurers & PBMs Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 29 Retail Analytics Platforms Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 30 Others (Data Aggregators (e.g., NielsenIQ, IRI), etc.) Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 31 Inventory Data Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 32 Pharma Manufacturers Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 33 Commercial Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 34 R&D Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 35 Distributors/Wholesalers Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 36 AI/ML Inventory Optimization Vendors Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 37 Others (Clinical Supply Vendors, etc.) Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 38 Prior Authorization Data Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 39 Payers & PBMs Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 40 Pharma Market Access Teams Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 41 Commercial Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 42 R&D Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 43 Health IT Providers Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 44 Consulting & Policy Firms Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 45 Others (Advocacy Groups, etc.) Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 46 Episodic / Pharmacy Rx Claims Data Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 47 Value-based Payers & ACOs Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 48 Pharma Outcomes Teams Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 49 Commercial Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 50 R&D Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 51 Real-world Evidence Vendors Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 52 Health IT Providers Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 53 Others (AI/ML Healthtech Firms, etc.) Market Estimates and Forecasts, 2018-2030 (USD Million)
Figure 54 Company categorization
Figure 55 Strategic framework

Companies Mentioned

The major companies featured in this U.S. Retail Pharmacy De-identified Health Data market report include:
  • CVS Health
  • Walgreens Boots Alliance, Inc.
  • Walmart Pharmacy
  • The Kroger Co.
  • Albertsons
  • UnitedHealth Group
  • Humana
  • BrightSpring Health Services
  • Costco Wholesale Corporation
  • Centene Corporation
  • Ahold Delhaize
  • Rite Aid Corp
  • H E B, LP
  • Aurora Health Care (a part of Advocate Health)
  • Big Y Foods, Inc.
  • Brookshire Brothers
  • Wakefern Food Corp.
  • Publix
  • Cub (subsidiary of United Natural Foods, Inc.)

Table Information

Report AttributeDetails
No. of Pages130
PublishedMay 2025
Forecast Period2024 - 2030
Estimated Market Value ( USD ) in 2024 $ 2.9 Billion
Forecasted Market Value ( USD ) by 2030 $ 4.56 Billion
Compound Annual Growth Rate7.8%
Regions CoveredUnited States
No. of Companies Mentioned19

Related Topics

Related Reports

De-Identified Health Data Market Size, Share & Trends Analysis Report by Type of Data, Application, End-Use (Pharmaceutical Companies, Biotechnology Firms, Medical Device Manufacturers, Healthcare Providers), and Region with Growth Forecasts, 2025-2030 - Product Image

De-Identified Health Data Market Size, Share & Trends Analysis Report by Type of Data, Application, End-Use (Pharmaceutical Companies, Biotechnology Firms, Medical Device Manufacturers, Healthcare Providers), and Region with Growth Forecasts, 2025-2030

  • Report
  • 120 Pages
  • Global
From
Mexico Compounding Pharmacies Market Size, Share & Trends Analysis Report by Therapeutic Area, Age Cohort (Pediatric, Geriatric), Compounding Type (Pharmaceutical Ingredient Alteration (PIA)), Sterility with Growth Forecasts, 2025-2030 - Product Image

Mexico Compounding Pharmacies Market Size, Share & Trends Analysis Report by Therapeutic Area, Age Cohort (Pediatric, Geriatric), Compounding Type (Pharmaceutical Ingredient Alteration (PIA)), Sterility with Growth Forecasts, 2025-2030

  • Report
  • 100 Pages
  • Mexico
From
Robotic Pharmacy Automation System Market by Product Type, Component, End User, Distribution Channel, Deployment Mode - Global Forecast to 2030 - Product Image

Robotic Pharmacy Automation System Market by Product Type, Component, End User, Distribution Channel, Deployment Mode - Global Forecast to 2030

  • Report
  • 185 Pages
  • Global
From
Pharmacy Market Size, Share & Trends Analysis Report by Product (Prescription, OTC), Type (Hospital Pharmacy, Retail Pharmacy (Chain, Independent, Others), EPharmacy, Others), and Region with Growth Forecasts, 2025-2030 - Product Image

Pharmacy Market Size, Share & Trends Analysis Report by Product (Prescription, OTC), Type (Hospital Pharmacy, Retail Pharmacy (Chain, Independent, Others), EPharmacy, Others), and Region with Growth Forecasts, 2025-2030

  • Report
  • 142 Pages
  • Global
From
Pharmacy Management Software Market by Deployment, End User, Application, Pharmacy Size, Pricing Model - Global Forecast to 2030 - Product Image

Pharmacy Management Software Market by Deployment, End User, Application, Pharmacy Size, Pricing Model - Global Forecast to 2030

  • Report
  • 191 Pages
  • Global
From
Copyright © 2002-2025 Research and Markets. All Rights Reserved.