The invention relates to an Internet of vehicles data-based attribute analysis method for a vehicle owner parking point after being clustered. The method comprises the steps of firstly, acquiring and clustering vehicle owner parking point information; secondly, performing analysis by combining time attribute of a cluster point after being clustered and cluster point space attribute obtained by reverse geocoding, and judging the point; and finally, acquiring the attribute of the vehicle owner parking point. By the method, spatial dimensional processing can be performed on travelling data of a vehicle owner, the space information of the travelling data of the vehicle owner is simplified by clustering and numbering the parking point, meanwhile, the time attribute and the space attribute of the point after being clustered are analyzed, and a solid data foundation is further provided for analysis on behavior habit of the vehicle owner.