The invention relates to a real-time data statistics method of mass data. The real-time data statistics method of the mass data includes the following steps that: (1) a data receiving server transmits data received from a terminal to a data processing server for data processing; (2) the data processing server performs database storage on original signals; (3) the data processing server performs signal statistics and analysis, wherein the step (3) specifically includes: 3.1) distinguishing data types of the signals, and recognizing the data types as a numeric type and a nonnumeric type; 3.2) for the signals of the numeric type, achieving the maximum value, the minimum value and the average value of each signal of the numeric type in fixed duration through statistics, and storing the maximum value, the minimum value and the average value of each signal of the numeric type into a database list of the numeric type; for the signals of the nonnumeric type, achieving appearance times and variation frequency of each state of each signal of the nonnumeric type in the fixed duration, and storing the appearance times and the variation frequency of each state of each signal of the nonnumeric type into a database list of the nonnumeric type. By adopting the real-time data statistics method of the mass data, the volume of original data to be queried is greatly reduced, and the speed of report query and the human-computer interaction experience sense are greatly improved.