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Glaucoma is a blinding illness associated with progressive optic nerve damage and visual field loss, which seriously affects patients’ quality of life and imposes a huge burden on society.Appropriate evaluation for glaucoma progression is of utmost importance for diagnosing and treating the disease.Visual field, as a “gold standard” for glaucoma visual function testing has been widely used in clinical work.In the routine evaluation of clinical glaucoma progression, the methods of visual field progress detection include clinical judgment, event-based analysis and trend-based analysis.Each of these methods has its own advantages and disadvantages, and they may be used in a complementary way.However, they still present shortcomings in specificity and sensitivity.Currently, various new algorithms and structural and functional tests are being developed to improve the existing methods of assessing visual field progress, such as combining trend and event analysis, assessing advanced disease status, reducing test frequency, and establishing new statistical models, and etc.These are in tended to help clinicians quickly and accurately detect glaucoma patients’ progress and apply it accordingly for follow-up.Automatic visual field examination is still the gold standard for long-term glaucoma monitoring, and it continues to play a key role in the assessment of glaucoma progress as a method of glaucoma visual function testing.Various assessment methods can be combined to complement, improve and establish a new statistical model, consider spatial correlation, and use the combination of structure and function to better assess both early and late changes in glaucoma.This article will review the limitations of visual field progress assessments, alongside some recently improved visual field progress evaluation methods to provide a reference for clinical work.