Processing-in-Memory (PIM) architecture suffers from frequent data synchronization, which raises inevitable coherent stalls and consumes more energy. This paper presents DrPIM, an adaptive and less-blocking data replication framework for Processing-in-Memory architecture to address such issues. The key insights are 1) finer-grained data management for the conflict data region and 2) the automatic generation and invalidations of data replications. The above two schemes significantly decrease the critical path of data synchronization and the access latency for conflict data, thus providing a less-blocking execution. Evaluations show that DrPIM achieves a speedup of 1.5x over the state-of-the-art and reduces the data-moving energy by 49%.