Bidding is a ″fortress″ of government investment projects, and corruption is regarded as a catastrophic threat and the biggest obstacle to construction project bidding. However, due to the hidden nature of corruption, it is a complicated and arduous systematic project to combat and control bidding corruption, and how to extract the spatial distribution characteristics from the largescale spatial information and deeply explore the spatial law of bidding corruption has become the key challenge to solve the″abundant data but weak theory″ in current corruption research. Based on the ″spatial data portrait″ of 1772 bidding corruption cases, the result indicates that bidding corruption presents the spatial distribution characteristics of ″multinuclear radiation type″ and ″large agglomeration and small dispersion″, with both spatial agglomeration and spatial drift. In this regard, the ″data insight″ of bidding corruption can be improved by accurately grasping its spatial distribution characteristics and laws, so as to improve the efficiency of combatting corruption according to the holistic governance framework.