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Artificial Intelligence (AI) In Synthetic Data Market Forecast: Value Set To Climb From $2.75 Billion To $10.48 Billion
The artificial intelligence (AI) in the synthetic data market has seen rapid expansion in its size over recent years. Projections indicate it will expand from $1.97 billion in 2025 to $2.75 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 40.0%. Historically, this expansion has been driven by several factors, including a heightened demand for data-driven insights, an increased understanding of privacy concerns linked to using actual data, stricter regulatory focus on data protection and governance, a scarcity of high-quality annotated datasets, and the imperative to lower costs associated with data collection and labeling.
The market for artificial intelligence (AI) in synthetic data is anticipated to experience substantial growth over the coming years. This market is projected to reach $10.48 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 39.7%. This expansion during the forecast period stems from factors such as the rising enterprise adoption of synthetic data for developing and testing models, the increasing need for data-sharing mechanisms that preserve privacy, the escalating demand for synthetic datasets within regulated sectors like healthcare and finance, the broadening commercialization of synthetic data services and managed solutions, and the growing requirement for collaborative cross-border research data that safeguards personal information. Key trends anticipated during this period encompass progress in generative adversarial networks, the creation of diffusion-based generative models, the incorporation of synthetic data into federated learning methodologies, enhancements in evaluation metrics for data accuracy and usefulness, and the automation of complete synthetic data generation pipelines.
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Artificial Intelligence (AI) In Synthetic Data Market Industry Drivers: What’s Behind The Revenue Growth?
The escalating volume of unstructured data originating from internet of things (IoT) systems is projected to propel the expansion of the artificial intelligence (AI) in synthetic data market moving forward. This rising unstructured data volume specifically refers to the growing amount of schema-less outputs such as sensor logs, telemetry data, images, and free-form device signals continuously generated by IoT systems. This surge is occurring because global broadband usage has expanded significantly, driven by an increasing number of connected devices that produce high-velocity data streams. Artificial intelligence (AI) in synthetic data reinforces data ecosystems by efficiently processing this expanding unstructured data from internet of things (IoT) sources. It enhances data usability by converting rapid sensor signals, logs, and device outputs into structured, synthetic datasets, thereby improving analytics, automation, and decision-making across connected environments. For instance, in May 2025, the Organisation for Economic Co-operation and Development, a France-based intergovernmental body, stated that the average monthly data usage per mobile broadband subscription in OECD countries increased by 65% in one year and more than doubled over two years, rising from 8 GB in June 2022 to 17 GB by June 2024. Therefore, the increasing unstructured data volume from IoT is serving as a primary driver for the growth of the artificial intelligence (AI) in synthetic data market.
Artificial Intelligence (AI) In Synthetic Data Market Segment Analysis: What Are The Core Market Categories?
The artificial intelligence (AI) in synthetic data market covered in this report is segmented –
1) By Component: Services, Software
2) By Data Type: Tabular Data, Image Data, Text Data, Video Data
3) By Application: Data Augmentation, Model Training And Testing, Data Privacy And Security, Fraud Detection
4) By End-User: Government, Information Technology (IT) And Telecommunications, Retail And E-commerce, Automotive, Healthcare, Banking, Financial Services And Insurance (BFSI)
Subsegments:
1) By Services: Data Annotation, Data Verification, Data Labeling, Synthetic Data Generation, Consulting
2) By Software: Data Synthesis Platforms, Simulation Engines, Data Augmentation Tools, Privacy Preserving Tools, Model Training And Testing Tools
#Artificial Intelligence (AI) In Synthetic Data Market Growth Trends: What’s Shaping The Future Outlook?
Leading firms in the artificial intelligence (AI) in synthetic data market are prioritizing the creation of enterprise-level synthetic data platforms, including high-fidelity tabular and relational data synthesizers, with the goals of enhancing data accessibility, speeding up model training, and bolstering privacy adherence. These high-fidelity tabular and relational data synthesizers are defined as AI-driven instruments that produce artificial datasets, accurately reflecting the statistical characteristics and interconnections of genuine structured data, all while maintaining confidentiality. An example of this is DataCebo, a US-based AI software company, which introduced Synthetic Data Vault in December 2023. This particular high-fidelity tabular and relational data synthesizer functions as a fully scalable platform capable of constructing custom generative AI models on-premises, enabling the generation of synthetic data from intricate relational databases, thereby significantly mitigating the risk of sensitive information exposure. Its features encompass the capacity to manage up to 100 tables and facilitate users in simply specifying their data requirements, which supports effortless data generation for testing and development without requiring human operators. Furthermore, it integrates established core algorithms that have been validated by an active open-source community boasting over a million downloads, thus broadening the usefulness and dependability of synthetic data for practical applications in finance, healthcare, and various other sectors.
Artificial Intelligence (AI) In Synthetic Data Market Competitive Landscape: Which Companies Lead The Industry?
Major companies operating in the artificial intelligence (AI) in synthetic data market are Shaip Inc., Kinetic Vision Inc., Parallel Domain Inc., Datagen Technologies Inc., Sky Engine Ltd., MDClone Ltd., Synthesis AI Inc., Cvedia Inc., Mostly AI GmbH, YData Ltd., Epistemix Inc., GenRocket Inc., Rendered.ai Inc., Syntho B.V., Betterdata Inc., Anyverse AI, Neurolabs Inc., Coohom Cloud Inc., Zumo Labs Inc., Cognata Ltd.
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Artificial Intelligence (AI) In Synthetic Data Market Regional Outlook: Where Is Opportunity Concentrated?
North America was the largest region in the artificial intelligence (AI) in the synthetic data market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in synthetic data market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
