Glove fit is crucial for both wear comfort and safety. A well-fitting glove can be realized by combining anthropometric hand measurements from three-dimensional (3D) scanning with the finite element method (FEM). This study reviews how accurate hand measurements and model interactions can be achieved to improve design and enhance protection. A total of 26 articles were selected for an integrated analysis and evaluation. The results indicate an increase in accuracy in 3D scanning with greater resolution, in which the optimum value has not been discovered. While the numbers of landmarks (ranging from 14 to 50) depend on the specific purpose, they do not directly correlate with precision. On the other hand, the authenticity of the FEM is closely related to the number and size of the finite elements, with simulation error decreasing as the applied force increases (R² > 0.78). It is also noteworthy that the image-based approach, motion state, and model used in the FEM do not significantly affect precision. Both technologies provide a comprehensive approach for glove design, as they combine accurate anatomical data with predictive modeling of mechanical performance and fit. Yet, challenges are identified, such as divergent standards in data retrieval and low accessibility, which inhibit the application of these two techniques in glove construction. Future studies should address the issues of improving scanning coverage, standardizing the data collection models, expanding glove application in different fields, and adopting artificial intelligence to improve the design, construction, or manufacture of gloves.