
Gretel
Founded Year
2020Stage
Acquired | AcquiredTotal Raised
$65.5MRevenue
$0000About Gretel
Gretel provides a synthetic data platform for artificial intelligence (AI) applications across various industries. The company generates synthetic datasets, transforms data quality, and supports the training of AI models while maintaining privacy. Gretel serves sectors that require data privacy and security, including finance, healthcare, and the public sector. It was founded in 2020 and is based in San Diego, California. In March 2025, Gretel was acquired by NVIDIA.
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Gretel's Product Videos
ESPs containing Gretel
The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.
The synthetic patient data platforms market offers artificially generated data intended to imitate real patient information. Healthcare organizations can use synthetic patient data to overcome challenges related to data privacy, security, and limited access to real patient data. Synthetic patient data provides a safe and compliant alternative for testing, research, and training purposes while pres…
Gretel named as Leader among 7 other companies, including Aetion, Segmed, and MDClone.
Gretel's Products & Differentiators
Gretel Synthetics
The most advanced privacy API for synthetic data. Apply differentially private learning to create highly accurate, synthetic data with enhanced privacy guarantees.
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Research containing Gretel
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Gretel in 10 CB Insights research briefs, most recently on Apr 11, 2025.


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The data security market mapExpert Collections containing Gretel
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Gretel is included in 4 Expert Collections, including Cybersecurity.
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Gretel Patents
Gretel has filed 1 patent.

Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
7/31/2014 | 1/3/2017 | Information systems, Security technology, Access control, Computer security, Surveillance | Grant |
Application Date | 7/31/2014 |
|---|---|
Grant Date | 1/3/2017 |
Title | |
Related Topics | Information systems, Security technology, Access control, Computer security, Surveillance |
Status | Grant |
Latest Gretel News
Sep 30, 2025
at 35.8% CAGR | Synthetic Data Generation Market Reach USD 3.5 Billion by 2031 Globally." The report offers an extensive analysis of key growth strategies, drivers, opportunities, key segments, Porter's Five Forces analysis, and competitive landscape. This study is a helpful source of information for market players, investors, VPs, stakeholders, and new entrants to gain a thorough understanding of the industry and determine steps to be taken to gain competitive advantage. The global synthetic data generation market was valued at USD 168.9 million in 2021, and is projected to reach USD 3.5 billion by 2031, growing at a CAGR of 35.8% from 2022 to 2031. Request Sample Report (Get Full Insights in PDF – 279 Pages) at: https://www.alliedmarketresearch.com/request-sample/A31749 Driving Factors Surge in digitalization transformation across enterprises and rise in adoption of advanced technology such AI and ML fuel the growth of the global synthetic data generation market. However, lack of skilled workforce is likely to hinder the global market growth. On the other hand, increase in demand for connected devices and IoT and other technologies will present new growth opportunities for the global synthetic data generation market in the coming years. Market Segmentation The synthetic data generation market is segmented on the basis of component, deployment mode, data type, application, industry vertical, and region. By component, it is bifurcated into solutions and services. By deployment mode, it is divided into on-premises and cloud. On the basis of data type, it is categorized into tabular data, text data, image and video data and others. By application, the market is segmented into AI training and development, test data management, data sharing and retention, data analytics and others. By industry vertical, the synthetic data generation market is categorized into BFSI, IT and telecommunication, government and defense, healthcare and life sciences, manufacturing, transportation and logistics, media & entertainment, manufacturing and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific and LAMEA. Key Players The key players that operate in the synthetic data generation market analysis Amazon.com, Inc., CVEDIA Inc., Datagen, Gretel Labs, IBM Corporation, Meta, Microsoft Corporation, Mostly AI, NVIDIA Corporation and Synthesis AI. These players have adopted various strategies to increase their market penetration and strengthen their position in the synthetic data generation industry. If you have any questions, Please feel free to contact our analyst at: https://www.alliedmarketresearch.com/connect-to-analyst/A31749 Based on region, the market in North America was the largest in 2021, accounting for nearly two-fifths of the global synthetic data generation market. This is due to increase in usage of synthetic data generation in BFSI, retail, healthcare and other sectors in the region to improve business outcome and customer experience. However, the Asia-Pacific market is likely to dominate in terms of revenue and show the fastest CAGR of 40.2% during the forecast period. This is attributed to the increase in penetration of advanced technologies such as AI/ML and big data, and higher adoption of cloud-based services such as robotics. Based on data type, the tabular data segment held the largest share of nearly two-fifths of the global synthetic data generation market in 2021, and is expected to maintain a prominent growth during the forecast period, as tabular data presentation helps in simplifying complex data, comparing different data sets, bringing out the important aspects, and provides the foundation for statistical analysis. However, the text data segment is expected to exhibit the highest CAGR of 39.8% in 2031, as text data has greater use in research and art projects. Based on component, the solution segment contributed to the largest share of two-thirds of the global synthetic data generation market in 2021, and is expected to rule the roost during the forecast period. This is because the adoption of synthetic data generation provides numerous benefits to the industry such as, streamlining business processes, eliminating manual processes and reducing time and costs. However, the services segment is projected to witness the fastest CAGR of 37.7% from 2022 to 2031. The adoption of synthetic data generation enhances software maximizes the value of existing installation by optimizing it and minimizing the deployment cost & risks, and others. Based on deployment mode, the on-premise segment held the largest share of nearly three-fifths of the global synthetic data generation market in 2021, and is expected to maintain a prominent growth during the forecast period. This is attributed to numerous advantages offered by on-premise deployment, such as a high level of data security and safety. However, the cloud segment is expected to exhibit the highest CAGR of 38.2% in 2031, owing to the high adoption of cloud-based synthetic data generation due to its low cost and easier maintenance. Buy Now & Get Exclusive Discount on this Report (279 Pages PDF with Insights, Charts, Tables, and Figures) at: https://www.alliedmarketresearch.com/synthetic-data-generation-market/purchase-options COVID-19 Scenario ● The outbreak of COVID-19 is expected to provide various growth opportunities for the market during the forecast period. These opportunities include a surge in demand for AI-driven synthetic data generation in enterprises due to remote work initiatives, as businesses see the benefits of these platforms. ● It is also expected that market players will focus more on solutions that will support advanced planning and overcoming the impact of such events in the future. Focus will also be on end-to-end stock visibility, complex supplier monitoring, and process automation, thereby raising the demand for synthetic data generation technology in future. ● The pandemic had positively impacted the mobile and internet uses and the growing use of computing services, which is likely to offer various opportunities for the synthetic data generation market growth in the upcoming year. Thanks for reading this article, you can also get an individual chapter-wise section or region-wise report versions like North America, Europe, or Asia. If you have any special requirements, please let us know and we will offer you the report as per your requirements. Lastly, this report provides market intelligence most comprehensively. The report structure has been kept such that it offers maximum business value. It provides critical insights into market dynamics and will enable strategic decision-making for existing market players as well as those willing to enter the market. Other Trending Reports: Proposal Management Software Market Process Mining Software Market About Us: Allied Market Research (AMR) is a market research and business-consulting firm of Allied Analytics LLP, based in Portland, Oregon. AMR offers market research reports, business solutions, consulting services, and insights on markets across 11 industry verticals. Adopting extensive research methodologies, AMR is instrumental in helping its clients to make strategic business decisions and achieve sustainable growth in their market domains. We are equipped with skilled analysts and experts and have a wide experience of working with many Fortune 500 companies and small & medium enterprises. Pawan Kumar, the CEO of Allied Market Research, is leading the organization toward providing high-quality data and insights. We are in professional corporate relations with various companies. This helps us dig out market data that helps us generate accurate research data tables and confirm utmost accuracy in our market forecasting. Every data company in the domain is concerned. Our secondary data procurement methodology includes deep presented in the reports published by us is extracted through primary interviews with top officials from leading online and offline research and discussion with knowledgeable professionals and analysts in the industry. Contact: David Correa 1209 Orange Street, Corporation Trust Center, Wilmington, New Castle, Delaware 19801 USA. Int'l: +1-503-894-6022 Toll Free: +1-800-792-5285 UK: +44-845-528-1300 | India (Pune): +91-20-66346060 David Correa Allied Market Research email us here Visit us on social media: LinkedIn Facebook YouTube X Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
Gretel Frequently Asked Questions (FAQ)
When was Gretel founded?
Gretel was founded in 2020.
Where is Gretel's headquarters?
Gretel's headquarters is located at 8910 University Center Lane, San Diego.
What is Gretel's latest funding round?
Gretel's latest funding round is Acquired.
How much did Gretel raise?
Gretel raised a total of $65.5M.
Who are the investors of Gretel?
Investors of Gretel include NVIDIA, Google Cloud Next, Microsoft for Startups Pegasus Program, Moonshots Capital, Greylock Partners and 6 more.
Who are Gretel's competitors?
Competitors of Gretel include Tonic AI, Synthesized, Aindo, CUBIG, GenRocket and 7 more.
What products does Gretel offer?
Gretel's products include Gretel Synthetics and 2 more.
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Compare Gretel to Competitors

Mostly AI specializes in creating synthetic data within the technology and data security sectors. The company offers a platform and an open-source Software Development Kit (SDK) that enables organizations to generate, analyze, and share synthetic data, allowing for data insights and collaboration. Mostly AI's solutions support applications such as machine learning (AI) machine learning (ML) model training, software testing, and data sharing, while addressing privacy regulations. It was founded in 2017 and is based in Vienna, Austria.

Tonic AI focuses on synthetic data generation and privacy compliance within the software and AI development sectors. The company provides products for the creation, management, and de-identification of test data to support application development, testing, and AI model training while adhering to data privacy regulations. Tonic AI's solutions serve various sectors including financial services and healthcare. It was founded in 2018 and is based in San Francisco, California.

YData is a company that provides services related to data quality and management for data science and AI development. Their main offerings include synthetic data generation, data profiling, and preparation pipelines. YData's solutions are utilized by sectors such as financial services, telecommunications, healthcare, and retail. It was founded in 2019 and is based in Seattle, Washington.
Dedomena operates in the fields of artificial intelligence and data science, focusing on synthetic data generation, data anonymization, and AI model enhancement. The company provides services that help businesses handle GDPR-compliant data. Dedomena's platform serves various industries, including banking and healthcare, by providing functionalities related to data management. It was founded in 2021 and is based in Madrid, Spain.

Synthesized provides test automation solutions within the software development and testing industry. The company offers a platform that automates test data generation, provisioning, and execution, aimed at application testing. Synthesized serves sectors that require testing and compliance, including banking, financial services, healthcare, and enterprise applications. It was founded in 2018 and is based in London, United Kingdom.

Clearbox AI specializes in synthetic data solutions within the AI and analytics sectors. The company offers services that generate synthetic data to enhance privacy compliance, improve data quality, and support automated testing for AI projects. Clearbox AI's technology is sector-agnostic, catering to various industries such as finance, healthcare, retail, energy, and mobility. It was founded in 2019 and is based in Turin, Italy.
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