Synthetic Electronic Health Record (EHR) Data Generation Platforms Global Market Report 2026

The synthetic electronic health record (EHR) data generation platforms market size has grown exponentially in recent years. It will grow from $0.62 billion in 2025 to $0.78 billion in 2026 at a compound annual growth rate (CAGR) of 26.2%. The growth in the historic period can be attributed to increasing adoption of electronic health records, growth in healthcare ai initiatives, demand for secure patient data, limited access to real patient datasets, rising clinical research activities.

The synthetic electronic health record (EHR) data generation platforms market size is expected to see exponential growth in the next few years. It will grow to $1.98 billion in 2030 at a compound annual growth rate (CAGR) of 26.4%. The growth in the forecast period can be attributed to expansion of ai-enabled synthetic data platforms, adoption of cloud-based healthcare solutions, regulatory emphasis on data privacy, growth in precision medicine research, increasing use of synthetic data for clinical trials. Major trends in the forecast period include synthetic data validation and testing, ai-driven ehr simulation, privacy-preserving data generation, cloud-based deployment and integration, scenario modeling for clinical research.

The rising adoption of electronic health records is anticipated to drive the growth of the synthetic electronic health records data generation platforms market in the coming years. Electronic health records (EHR) are digital versions of a patient’s medical information that authorized healthcare providers can securely access, update, and share. The adoption of electronic health records (EHR) is expanding as they enhance healthcare efficiency by providing quick access to patient data, minimizing paperwork, and streamlining clinical workflows. Synthetic electronic health records (EHR) data generation platforms assist by producing realistic yet artificial patient data that safeguards privacy, enabling healthcare organizations to train AI models, test software, and conduct research without risking the exposure of actual patient information. For example, in December 2024, according to the Centers for Disease Control and Prevention (CDC), a US-based national public health agency, 88.2% of office-based physicians were using electronic health records systems, whereas the adoption of certified EHR systems stood at 77.8%. Therefore, the rising adoption of electronic health records is fueling the growth of the synthetic electronic health records data generation platforms market.

The increasing adoption of cloud computing is also expected to drive the growth of the synthetic electronic health records data generation platforms market in the future. Cloud adoption involves using cloud-based computing services instead of on-premises infrastructure to enhance scalability, flexibility, and efficiency. Its growth is being driven by scalability, allowing businesses to rapidly adjust computing resources up or down in the cloud to meet changing demands without additional physical infrastructure investments. Synthetic electronic health record (EHR) data generation platforms facilitate cloud adoption by enabling secure, scalable, and compliant testing and development in cloud environments without relying on real patient data, allowing healthcare organizations to safely leverage cloud computing for analytics, AI training, and software deployment. For instance, in March 2025, according to the Office for National Statistics, a UK-based government department, in 2023, 9% of firms in the UK adopted artificial intelligence (AI), while 69% implemented cloud-based computing systems and applications. Therefore, the increasing adoption of cloud computing is propelling the growth of the synthetic electronic health records data generation platforms market.

In April 2024, SA Health, an Australia-based government portfolio, partnered with Gretel AI to leverage synthetic data for safely sharing and analyzing Electronic Health Records (EHR) for research while ensuring patient privacy. This partnership aims to enhance healthcare research and analytics by providing secure, privacy-preserving access to synthetic patient data. Gretel AI is a US-based provider of synthetic data generation tools that can generate synthetic EHR data suitable for analytics, machine learning, testing, and other healthcare-oriented applications.

Major companies operating in the synthetic electronic health record (EHR) data generation platforms market are Datavant Inc, Insilico Medicine Inc, Quantiphi Inc, Syncora.ai, Saama Technologies Inc, MDClone Ltd, Gretel Labs Inc, Unlearn.ai Inc, TonicAI Inc, Medisyn Inc, Aindo S.r.l, Hazy Limited, MOSTLY AI Solutions MP GmbH, Syntegra, Syntho B V, GenRocket Inc, Datomize, Statice GmbH, Generative Medical Inc, and AnonyMed.

North America was the largest region in the synthetic electronic health record data (EHR) generation platforms market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the synthetic electronic health record (EHR) data generation platforms market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the synthetic electronic health record (EHR) data generation platforms market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The synthetic electronic health record data (EHR) generation platforms market consists of revenues earned by entities by providing services such as synthetic patient record generation, clinical workflow simulation, and software testing and benchmarking. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Synthetic electronic health record (EHR) data generation platforms are software tools that produce realistic, artificial EHR data, simulating patient information and clinical events while preserving privacy. They are employed to test healthcare applications, train AI models, and conduct research without exposing real patient records.

The primary components of synthetic electronic health record data generation platforms include software and services. Software refers to platforms that generate realistic synthetic EHR data to support analytics, research, and testing while preserving patient privacy. They are offered as fully synthetic data, partially synthetic data, or hybrid synthetic data and are deployed through on-premises and cloud-based models. Applications include healthcare analytics, medical research, clinical trials, data privacy and security, and other areas, serving hospitals and clinics, research organizations, pharmaceutical and biotechnology companies, academic institutions, and other end users.

Tariffs have influenced the synthetic EHR data generation market by raising costs for importing advanced software solutions and data management platforms. Segments such as software components and cloud-based deployment are particularly affected, especially in regions like North America and Europe reliant on imported technologies. In response, vendors are focusing on local development, optimizing platform efficiencies, and innovating cost-effective solutions, which can drive market resilience and encourage regional adoption.

The synthetic electronic health record (EHR) data generation platforms market research report is one of a series of new reports that provides synthetic electronic health record (EHR) data generation platforms market statistics, including synthetic electronic health record (EHR) data generation platforms industry global market size, regional shares, competitors with a synthetic electronic health record (EHR) data generation platforms market share, detailed synthetic electronic health record (EHR) data generation platforms market segments, market trends and opportunities, and any further data you may need to thrive in the synthetic electronic health record (EHR) data generation platforms industry. This synthetic electronic health record (EHR) data generation platforms market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

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