Fecha de publicación: 17/10/2023 Fuente: Wipo "BigData" The invention discloses a data pricing method and system based on game optimization, and belongs to the technical field of big data assets, and the method comprises the steps: building a first bargaining model when a buyer and a seller are in a complete information scene; when the buyer and the seller are in an incomplete information scene, if there is no transaction platform intervention between the buyer and the seller, constructing a second bargaining model; when the buyer and the seller are in an incomplete information scene, if transaction platform intervention exists between the buyer and the seller, constructing a third bargaining link model; and according to the actual situation, solving the first bargaining model, the second bargaining model or the third bargaining model, and determining the final price of the big data assets. According to the invention, the proper bargaining model is selected to determine the final pricing of the big data assets according to the actual conditions of the buyer and the seller, and the dynamic pricing is carried out on the big data assets, so that the actual value of the big data assets can be accurately reflected, and the reasonable transaction price can be objectively determined.