Synthetic Data Generation Market size was over USD 307.42 million in 2024 and is projected to cross USD 18.23 billion by the end of 2037, witnessing more than 36.9% CAGR during the forecast period i.e., between 2025-2037. In the year 2025, the industry size of synthetic data generation is estimated at USD 398.17 million.
AI systems for computer vision and autonomous driving already depend heavily on this developing technology. Car makers may construct realistic datasets and simulated landscapes at scale without actually driving by combining techniques from the film and gaming industries (simulation, CGI) with generative neural networks (GANs, VAEs). In 2021, there was a 3% year-over-year growth in the production of motor cars, with around 80 million vehicles produced worldwide.
In addition, the main corporations planning to expand their portfolios will benefit greatly from the urgency with which privacy legislation, such as GDPR, must be followed. Other growing uses of generated data include ramping up model development and training models in the absence of real data. Artificial data is a valuable resource for training and fostering models prior to the availability of real data while also reducing costs.
Author Credits: Abhishek Verma
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