The invention relates to a bilateral multi-attribute big data resource value evaluation and exchange method. According to the technical scheme, the method comprises: step one, a buyer and a seller split respective data sources into various data attributes according to service qualities; step two, the seller registers big data resources owned by the seller according to the data source and carries out data service publication to a data market; step three, a data exchange market matches data parameter and data exchange contracting parties; step four, after the exchange market determines data exchange participants, two sub populations of a buyer and a seller are obtained by division by using a vector evaluation genetic algorithm; step five, a fitness degree is calculated by using respective utility functions of the buyer and the seller; and step six, according to the utility functions of the buyer and the seller for bilateral multi-attribute resource exchange, a vector genetic algorithm optimized target is constructed. With the method, a data exchange prices that can be accepted by the buyer and the seller can be obtained rapidly.