The "Research Report on Embodied Intelligent Training Fields (2026)" recently released by the China Academy of Information and Communications Technology shows that in the past two years, driven by policy support and industrial demand, the construction of embodied intelligent training fields in my country has accelerated.According to incomplete statistics, as of the end of June this year, more than 70 training grounds have been built and opened across the country, and 46 training grounds are under construction or planning.

The embodied intelligence training field is a type of key infrastructure for embodied intelligence R&D and application, supporting embodied intelligence data production, model training, system application capability verification and iterative optimization in a real physical environment.The report shows that there is currently a wave of embodied intelligent training ground construction across the country. Training ground construction has covered more than half of the country's provincial administrative regions, forming three major clusters with the Yangtze River Delta, Beijing-Tianjin-Hebei and Pearl River Delta as the core.

The report shows that the embodied intelligent training field breaks through the development model of the traditional artificial intelligence industry that is highly concentrated in provincial capitals, municipalities and first-tier cities, and gradually extends to third-, fourth- and even fifth-tier cities, showing a development trend of multi-level urban coordinated layout.This layout feature reflects that the site selection logic of the training ground is being driven by the traditional accumulation of talents and capital, and is gradually shifting to a resource allocation model centered on real scenarios, data supply and operational efficiency.

Scenario construction will directly determine the direction of data production, the focus of capability training, and the boundaries of operational services.The report shows that at present, the construction of embodied intelligent training ground in my country generally shows the characteristics of "application-driven and comprehensive capability improvement as the goal", and the layout is accelerated around industrial manufacturing, home services, commercial retail, medical care, special emergency and other industry scenarios.Among them, training grounds with industrial manufacturing scenes accounted for the most, accounting for 86%.

The report predicts that as embodied intelligence technology gradually matures and industrial applications continue to deepen, training fields will continue to evolve in multiple dimensions such as scenarios, data, services, operations, and standardization. my country's embodied intelligence training fields will steadily transition from a construction boom period to a capability accumulation period.(Reporter Zhou Yuan)