Generally, the multivariate calibration model based on spectroscopy is only for the same instrument, the same test conditions and the same batch or similar samples. However, with the increasing demand for spectral application, the problem that different samples cannot share the spectral model has become the fundamental technical bottleneck limiting spectral technology application. In the visible near-infrared spectrum analysis, after the change of the instrument, the test environment and the sample, the established spectral model is no longer suitable. So the model transfer is needed to solve this kind of problem. The model transfer is the key technology bottleneck to limit the application of spectral technology. Therefore, this paper summarizes the current research situation and discusses future development direction. First of all, the model transfer problem is divided into two categories: the first is the model mismatch of the same sample under different instruments or different test environments, called the first type of model transfer; the second is the model mismatch between different samples, called the second type of model transfer. These two kinds of problems are different in nature. To solve the first type of model transfer can ensure the accuracy and stability of homologous samples. And to solve the second type can realize the automatic transfer and matching application of spectral model between different products. Then, the commonly used model transfer algorithms are sorted and classified, including model updating, spectrum based correction algorithm, result based correction algorithm, and the application of each category of model transfer algorithm is listed. Model updating is the most direct method for recalculating model coefficients, which can meet the new changes by expanding and adjusting the model. Spectrum based correction algorithm is based on the calculation of the transfer matrix to achieve spectral correction. Result based correction algorithm is based on the calculation of pre-test results and actual results coefficients, so as to achieve the correction of prediction results. Finally, it is pointed out that the second type of model transfer should be studied in the future, especially the automatic model transfer by machine, so as to realize the real spectral velocity measurement.