Guoxin Securities released a research report stating that data is a key resource for the development of large physical AI models, and is the underlying driving force supporting model training, the emergence of capabilities, and intelligent evolution. Currently, the accumulation of physical data is mainly visual information. Human operation videos provide rich behavioral and semantic information, while tactile data requires simultaneous recording of contact states during interaction. The supply of existing tactile data is still relatively limited. There are various physical data collection routes, and the value of multi-source data training is outstanding. The embedded intelligent data industry chain covers infrastructure, data collection, data processing and application, and enterprises with software and hardware collaboration, real scenario resources, and continuous data delivery capabilities are expected to form a differentiated advantage.

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