The article is devoted to the development of information support mechanisms for the digital transformation of space industry enterprises. To ensure the operation of spacecraft in the conditions of uncertainty of external influences, the article proposes a model-oriented approach to the design and support of the development of space industry enterprises as socio-cyber-physical systems. The purpose of the socio-cyber-physical model is to build digital twins and models of enterprise products on a common methodological basis for the development and debugging of large-scale functional systems that obey heuristic norms and patterns of sustainable and safe existence, reflexive behavior in regular and non-standard situations. With the current requirements for increasing the operating time of the spacecraft in orbit, it is necessary to predict the behavior of the onboard equipment for a period longer than the standard one. The article shows that for a time interval less than the planned active lifetime, the reliability characteristic is underestimated. With the transition over the planned period, traditional methods give a significant overestimation of the reliability function. In order to improve the mechanisms for creating spacecraft, the onboard equipment we considered as a large system, which has characterizes by the interaction functions of its elements. This approach allows us to evaluate the functional reliability of on-board equipment. In this regard, for informational support, the article focuses on big data and its use for modeling multicomponent systems connected to the environment of new technologies. Based on the study of the dynamics of the technical condition of functional blocks, this technology supposes to find reserves.