Synthetic Data Solution Market Report 2026

Synthetic Data Solution Market Overview

• Synthetic Data Solution market size has reached to $2.88 billion in 2025 • Expected to grow to $7.81 billion in 2030 at a compound annual growth rate (CAGR) of 22% • Growth Driver: Rise In Digital Transformation Fueling The Growth Of The Market Due To Increasing Need For Safe, Scalable, And High-Quality Data For AI And Innovation • Market Trend: AI-Powered Synthetic Text Enables Privacy-Safe Data Utilization • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.

What Is Covered Under Synthetic Data Solution Market?

A synthetic data solution is a software or platform that creates artificial data resembling real-world datasets without exposing any sensitive information. Its main purpose is to provide organizations with safe, realistic data for AI/ML training, analytics, and testing, enabling innovation and decision-making while ensuring compliance with privacy regulations. It helps accelerate digital transformation by making data readily available for experimentation and development. The main components of the synthetic data solution include solution or platform and services. Solution or platform refers to comprehensive software tools and platforms that enable organizations to generate, manage, and utilize synthetic data efficiently. The deployment mode, including on-premise and cloud. The data type, covering tabular data, image data, video data, text data, and audio data. The technology solutions leverage generative adversarial networks, autoregressive models, agent-based modeling, statistical models, and rule-based systems. The key industry verticals adopting these solutions include healthcare, retail and e-commerce, it and telecommunications, automotive, and government and defense.

What Is The Synthetic Data Solution Market Growth Forecast?

The synthetic data solution market size is expected to see exponential growth in the next few years. It will grow to $7.81 billion in 2030 at a compound annual growth rate (CAGR) of 22.0%. The growth in the forecast period can be attributed to growing demand for scalable data generation, increasing integration of synthetic data in automation, rising focus on bias reduction in datasets, expansion of machine learning deployments, and growing emphasis on secure data sharing. Major trends in the forecast period include technology advancements in generative models, innovations in privacy-preserving synthesis, developments in multimodal synthetic data, research and developments in synthetic data quality, and advancements in automated data labelling systems.

Global Synthetic Data Solution Market Segmentation

1) By Component: Solution Or Platform, Services 2) By Deployment Mode: On-Premise, Cloud 3) By Data Type: Tabular Data, Image Data, Video Data, Text Data, Audio Data 4) By Technology: Generative Adversarial Networks, Autoregressive Models, Agent-Based Modeling, Statistical Models, Rule-Based Systems 5) By Industry: Healthcare, Retail And E-Commerce, IT And Telecommunications, Automotive, Government And Defense Subsegments: 1) By Solution Or Platform: Data Generation Tools, Data Anonymization Tools, Data Augmentation Platforms, Scenario Simulation Platforms, Synthetic Data Management Systems 2) By Services: Consulting Services, Integration Services, Training Services, Support And Maintenance Services, Data Strategy And Advisory Services

What Is The Driver Of The Synthetic Data Solution Market?

The rise in digital transformation is expected to propel the growth of the synthetic data solution market going forward. Digital transformation is the integration of digital technologies into all aspects of business to improve operations, enhance value delivery, and enable innovation while fostering agile and data-driven practices. Synthetic data solutions accelerate digital transformation by providing instant, privacy-safe access to high-quality datasets, enabling faster experimentation and innovation across teams. They streamline data workflows by removing compliance barriers, supporting scalable AI development and modern analytics, and enhancing overall organizational agility. For instance, in July 2024, according to the Office for National Statistics, a UK-based government agency, the digital infrastructure program received a $535 million (£434 million) investment by 2022, with an additional $907 million (£736 million) allocated for the period of 2023 to 2025. Therefore, the rise in digital transformation is driving the growth of the synthetic data solution industry.

Key Players In The Global Synthetic Data Solution Market

Major companies operating in the synthetic data solution market are Google LLC, Microsoft Corporation, International Business Machines Corporation, NVIDIA Corporation, Datavant Inc., Epistemix Inc., Tonic AI Inc., Gretel Labs Inc., Datagen Technologies Ltd., Parallel Domain Inc., Rendered.ai Inc., Synthesis AI Inc., Syntho B.V., Syntegra Limited, YData S.A., MOSTLY AI Solutions MP GmbH, syntheticAIdata, Synthesized Ltd., GenRocket Inc., Simulacra Synthetic Data Studio

Global Synthetic Data Solution Market Trends and Insights

Major companies operating in the synthetic data solution market are focusing on developing advanced solutions, such as synthetic text generation, to overcome AI training bottlenecks, ensure data privacy, and unlock high-value proprietary data. Synthetic text generation refers to AI-powered systems that create highly realistic and statistically representative artificial text data, preserving the patterns and insights of original datasets without containing any real, sensitive information. For instance, in October 2024, Mostly AI, an Austria-based synthetic data generation company, launched its advanced Synthetic Text solution. It is a pioneering platform designed to generate privacy-safe, synthetic versions of text-based datasets, enabling organizations to utilize and share sensitive information such as customer feedback, contracts, or emails for AI training and analytics without legal or ethical risks. It includes advanced context preservation and semantic consistency features, enabling high-fidelity model training and innovation on previously unusable data. It also incorporates scalable generation and seamless integration with existing data stacks, accelerating AI development cycles and reducing the compliance burden for data teams across industries.

What Are Latest Mergers And Acquisitions In The Synthetic Data Solution Market?

In October 2025, KPMG LLP, a US-based professional services firm, acquired the intellectual property and technology assets of YData Labs Inc. for an undisclosed amount. With this acquisition, KPMG aims to build a synthetic-data centre of excellence and integrate YData’s platform to deliver end-to-end synthetic-data solutions for clients requiring privacy-preserving datasets. YData Labs is a US-based provider of synthetic-data generation platforms and toolkits focused on privacy-preserving data synthesis for model training and analytics.

Regional Insights

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

What Defines the Synthetic Data Solution Market?

The synthetic data solution market consists of revenues earned by entities by providing services such as synthetic data generation, data anonymization, data augmentation, simulation-based data creation, and automated dataset labeling. The market value includes the value of related goods sold by the service provider or included within the service offering. The synthetic data solution market also includes sales of synthetic image datasets, synthetic tabular datasets, synthetic time-series datasets, synthetic text datasets, and synthetic video datasets. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Synthetic Data Solution Market Report 2026?

The synthetic data solution market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the synthetic data solution industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.