Abstract: Heterogeneous mesh data mapping is a core technology supporting multi-physics coupling, multi-scale computation, and cross-software collaborative simulation in computer-aided engineering (CAE), and its performance directly affects simulation accuracy, convergence, and computational efficiency. A review of CAE-oriented heterogeneous mesh data mapping technologies is presented. The basic principles and typical workflows are introduced, and the influences of field data types, mapping characteristics, and constraint conditions on mapping strategy selection are analyzed. On this basis, the research progress of data interpolation algorithms, nodal value recovery techniques, and localization search algorithms is reviewed, and mainstream methods are compared and analyzed in terms of mapping accuracy, computational efficiency, robustness, and applicable scenarios. Finally, the research trends and challenges are discussed regarding the construction of standardized evaluation benchmarks, scenario-oriented intelligent strategy matching, and data-driven innovative methods, providing references for the automation and intelligent development of CAE software.