Provided is a method for providing a bigdata weighted moving average-based bidding information analysis service for online bidding participation. The method comprises the steps of: receiving an identification code of a bid notice which a requester desires to bid from an analysis request terminal; collecting and storing data on the bid notice based on the identification code; extracting a minimum to maximum range of an assessment rate, which is the ratio of a predetermined price to a base price of the bid notice of the stored bid notice data; extracting the frequency of competition and a reserve price appearance point with a bidding concentration point of at least one competitor participating in the bid notice; analyzing the propensity of a client by extracting propensity data including the maximum, minimum, and average values of the assessment rate of the client and the sum of a plurality of reserve prices which are included in the bid notice data; and transmitting, to the analysis request terminal, the plurality of reserve prices for each client or person in charge calculated on the basis of the assessment rate, competitor data, and the propensity of the client. Thus, the prediction rate can be increased by considering a plurality of parameters.
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