Amidst the wave of accelerated penetration of artificial intelligence into various industries and continuous breakthroughs in generative technology, synthetic data is evolving from an auxiliary tool to a core element driving the large-scale implementation of AI. Its generation quality, modal richness, and compliance value are improving simultaneously, driving synthetic data solutions to continuously evolve towards higher fidelity, multi-modal, and trustworthy directions.
Against this backdrop, Frost & Sullivan (Frost & Sullivan, abbreviated as 'Frost & Sullivan') has conducted a deep analysis of China's synthetic data solutions and hereby publishes the '2025 China Synthetic Data Solutions Development Insights' (hereinafter referred to as the 'White Paper'). This White Paper aims to sort out the development history, current status, core value, industrial chain map of synthetic data solutions, as well as their global market scale and regional penetration, and explore the future development trends of synthetic data solutions.
This White Paper focuses on synthetic data (Synthetic Data) solutions, analyzing their current development status, technical path, market pattern, and future trends. Synthetic data solutions can systematically address multiple data bottlenecks in AI, have been upgraded from simple substitution to a core strategic asset, and show great value potential in autonomous driving, embodied intelligence, and industrial scenarios. Synthetic data solutions provide high-quality, highly available, low-cost data sources for model training and development, as well as the implementation of AI applications. This White Paper aims to provide valuable reference information for researchers, developers, and enterprises in related fields, promoting technological progress and industrial development.
