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. |
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-
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.