The invention belongs to the field of wireless city data processing technology and particularly relates to a wireless city big data offline processing system and a big data offline processing method of the system. The system comprises a timing increment module, a matching extraction module, a storage module, an analysis module and a statistical module, wherein the timing increment module is used for acquiring timing increment data of wireless city big data; the matching extraction module is used for reading the timing increment data and extracting matching data; the storage module is used forreceiving and storing the matching data from the matching extraction module; the analysis module is used for reading and analyzing the matching data stored in the storage module; and the statistical module is used for performing statistical analysis and display on the matching data analyzed through the analysis module. According to the system and the method, an HDFS file system is adopted, multiple Hadoop clusters are integrated, extension is convenient, a non-relational database Hbase set up on the HDFS file system realizes storage of the wireless city big data at a 100-million level, and thedemand of big data statistical analysis in a wireless city is met.