Global Blockchain-based Electronic Health Record Market Size is valued at USD 1.14 in 2024 and is predicted to reach USD 15.07 Bn by the year 2034 at a 29.8% CAGR during the forecast period for 2025-2034.
Blockchain-based Electronic Health Records (EHRs) utilize blockchain technology to securely store and manage patient data, thereby guaranteeing privacy, transparency, and control. Patients have the ability to authorize access, and all modifications are traceable and tamper-proof. It enhances interoperability and facilitates secure data sharing among healthcare providers. Some examples are MedRec, Patientory, and Medicalchain. Blockchain-based EHRs employ a decentralized ledger in contrast to conventional EHRs, which are based on centralized databases. Every transaction or alteration is recorded as a block, dated chronologically, and secured by encryption. This makes it extremely impossible to change or manipulate patient data covertly by guaranteeing data security, transparency, and immutability.
The market for blockchain-based electronic health records (EHRs) is expanding due to the rapidly growing demand for patient-centered, secure, and interoperable healthcare solutions. Traditionally, inefficiencies like data fragmentation, delayed upgrades, and security breaches have hampered EHR systems. By offering irreversible and decentralized data storage and enabling transparent and trustworthy data sharing across stakeholders, blockchain technology seeks to address these problems. Blockchain has become a popular solution due to the rise in cyberattacks on healthcare facilities and the increasing legal requirements for data security and interoperability (e.g., HIPAA, GDPR). Furthermore, the need for secure data transmission channels has been exacerbated by the rising adoption of digital health and telemedicine systems after COVID-19.
However, a significant upfront investment in IT infrastructure, system integration, and employee training is required to implement blockchain-based EHR systems; small healthcare providers may find this to be a difficult undertaking. Moreover, healthcare systems that allow people to control and manage their medical records are becoming increasingly popular. Blockchain makes it possible for anyone to safely access, track, and share their records—exactly what this new model calls for.
Some Major Key Players In The Blockchain-based Electronic Health Record Market:
The Blockchain-based Electronic Health Record market is segmented based on component, deployment mode, blockchain type, and end-user. Based on components, the market is segmented into Software, Services, and Hardware. Based on the deployment mode, the market is segmented into On-Premise, Cloud-Based, and Hybrid. By blockchain type, the market is segmented into Private, Public, Consortium, and Others. The end-user segment has Hospitals and Clinics, Research Institutions, Pharmaceutical Companies, Patients, and Insurance Providers.
The software category is expected to hold a major global market share in 2024. The foundation of the electronic health record flow is software, which guarantees safe data sharing and storage. Because it automates processes, avoids compliance problems, and improves results, software is essential for clinics and hospitals. The segment's leadership has been solidified by the ongoing demand for scalable and adaptable EHR systems that integrate blockchain for enhanced security and interoperability. The software market is probably going to continue to lead in the near future as more healthcare systems use blockchain technology to move data securely.
In the market for blockchain-based EHRs, hospitals and clinics are the most common end-user group. Large volumes of patient data are generated and managed by these organizations, necessitating the use of safe, compatible technology. Blockchain-based EHR systems provide clinics and hospitals with a safe and affordable way to handle electronic medical records, enhancing patient care coordination and reducing administrative expenses. These companies' increasing adoption of blockchain technology will maintain this market segment's dominance.
The North American Blockchain-based Electronic Health Record market is expected to register the highest market share in revenue in the near future, fueled by Canada's and the United States' strong healthcare systems. Strong regulatory frameworks like HIPAA and North America's early acceptance of blockchain technology in healthcare have accelerated the development of blockchain-based EHR solutions. Blockchain solutions are in great demand in North America because healthcare professionals are keen to improve data security, interoperability, and patient privacy. In addition, Asia Pacific is projected to grow rapidly in the global Blockchain-based Electronic Health Record market. One of the main drivers of blockchain implementation in healthcare is the European Union's emphasis on data privacy through laws like GDPR. Blockchain is being considered by several European countries to enhance cross-border healthcare interoperability, manage patient consent, and facilitate secure data transmission. Additionally, to address problems like data fragmentation and inefficiency, the region's well-established healthcare systems are increasingly putting creative solutions into practice.
|
Report Attribute |
Specifications |
|
Market Size Value In 2024 |
USD 1.14 Bn |
|
Revenue Forecast In 2034 |
USD 15.07 Bn |
|
Growth Rate CAGR |
CAGR of 29.8% from 2025 to 2034 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
|
Historic Year |
2021 to 2024 |
|
Forecast Year |
2025-2034 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
By Components, Blockchain Types, Deployment Modes, End Users. |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
|
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
|
Competitive Landscape |
Medicalchain, IBM Corporation, Factom, Patientory, BurstIQ, Guardtime, Solve.Care, Healthereum, Chronicled, Change Healthcare, Hashed Health, and Doc.ai. |
|
Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
|
Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Blockchain-based Electronic Health Record Market Snapshot
Chapter 4. Global Blockchain-based Electronic Health Record Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.9. Use/impact of AI on Blockchain-based Electronic Health Record Market Industry Trends
4.10. Global Blockchain-based Electronic Health Record Market Penetration & Growth Prospect Mapping (US$ Mn), 2021-2034
Chapter 5. Blockchain-based Electronic Health Record Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:
5.2.1. Software
5.2.2. Hardware
5.2.3. Services
Chapter 6. Blockchain-based Electronic Health Record Market Segmentation 2: By Blockchain Type, Estimates & Trend Analysis
6.1. Market Share by Blockchain Type, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Blockchain Type:
6.2.1. Private Blockchain
6.2.2. Public Blockchain
6.2.3. Consortium Blockchain
6.2.4. Others
Chapter 7. Blockchain-based Electronic Health Record Market Segmentation 3: By Deployment Mode, Estimates & Trend Analysis
7.1. Market Share by Deployment Mode, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
7.2.1. On-Premise
7.2.2. Cloud-Based
7.2.3. Hybrid Deployment
Chapter 8. Blockchain-based Electronic Health Record Market Segmentation 3: By End User, Estimates & Trend Analysis
8.1. Market Share by End User, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End User:
8.2.1. Hospitals and Clinics
8.2.2. Research Institutions
8.2.3. Insurance Providers
8.2.4. Pharmaceutical Companies
8.2.5. Patients
Chapter 9. Blockchain-based Electronic Health Record Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global Blockchain-based Electronic Health Record Market, Regional Snapshot 2024 & 2034
9.2. North America
9.2.1. North America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.2.1.1. US
9.2.1.2. Canada
9.2.2. North America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.2.3. North America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Blockchain Type, 2021-2034
9.2.4. North America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.2.5. North America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.3. Europe
9.3.1. Europe Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe
9.3.2. Europe Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.3.3. Europe Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Blockchain Type, 2021-2034
9.3.4. Europe Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.3.5. Europe Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.4. Asia Pacific
9.4.1. Asia Pacific Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific
9.4.2. Asia Pacific Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.4.3. Asia Pacific Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Blockchain Type, 2021-2034
9.4.4. Asia Pacific Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.4.5. Asia Pacific Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.5. Latin America
9.5.1. Latin America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America
9.5.2. Latin America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.5.3. Latin America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Blockchain Type, 2021-2034
9.5.4. Latin America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.5.5. Latin America Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.6. Middle East & Africa
9.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa
9.6.2. Middle East & Africa Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.6.3. Middle East & Africa Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Blockchain Type, 2021-2034
9.6.4. Middle East & Africa Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.6.5. Middle East & Africa Blockchain-based Electronic Health Record Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Medicalchain
10.2.1.1. Business Overview
10.2.1.2. Key Component/Service Overview
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy
10.2.2. Patientory
10.2.3. BurstIQ
10.2.4. Guardtime
10.2.5. IBM Corporation
10.2.6. Change Healthcare
10.2.7. Hashed Health
10.2.8. Factom
10.2.9. Solve.Care
10.2.10. Healthereum
10.2.11. Chronicled
10.2.12. Doc.ai
Segmentation of Blockchain-based Electronic Health Record Market-
Blockchain-based Electronic Health Record Market By Component-
Blockchain-based Electronic Health Record Market By Deployment Mode-
Blockchain-based Electronic Health Record Market By Blockchain Type-
Blockchain-based Electronic Health Record Market By End-User-
Blockchain-based Electronic Health Record Market By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
