Generative AI in Government Market size is expected to be worth around USD 502.1 Mn by 2032 from USD 12.7 Mn in 2022, growing at a CAGR of 45.8% during the forecast period from 2023 to 2032.

Physical crash tests are expensive, so manufacturers rely heavily on simulated testing. Generative adversarial networks create photorealistic crash footage by synthesizing data on collision physics, vehicle models, debris scattering, and digital humans. Powerful physics engines realistically simulate how vehicles crumple, airbags deploy, and occupants move during impact. Massive parameter sweeps model collisions under diverse conditions impossible to replicate physically. By screening designs in virtual crash tests, manufacturers refine safety features like crumple zones and cabin integrity. Real-world trials then validate designs. The scalability of simulation-based testing allows manufacturers to fulfill safety requirements cost-effectively. Generative AI enables orders of magnitude more crash evaluations to enhance automotive safety.

Report: https://marketresearch.biz/report/generative-ai-in-automotive-market/