Aiming at the defects in the prior art, the invention provides an asset big data intelligent analysis method which comprehensively considers dimensions involved in query requirements and distributes the dimensions to different routes according to query specific contents, thereby realizing quick and efficient query of the overall condition of asset business and ensuring flexibility. In order to achieve the purpose, the asset big data intelligent analysis method comprises the following steps: carrying out multi-dimensional cubic construction on an integrated data set subjected to ETL conversion;obtaining the index data meeting the query condition from the multi-dimensional data cube, and taking the index data as a response result of the query request. According to the method, the physical data model is mapped from the aspects of the asset field model and the concept model, so that business personnel can build and configure a big data multi-dimensional model in a self-service manner andperform optimization and query according to pure business understanding, and the problem that the business personnel are difficult to understand underlying data is avoided.