• Background: In face of the development trend of high-end manufacturing servitization, the reliability standard of manufacturing products gradually increases. • Objective: In order to accurately predict the product life cycle, the accelerated degradation evaluation technology could be applied to significantly shorten the experiment duration. As the technologies of the intelligent manufacturing and industrial big data develop, the theory of accelerated degradation evolves as well. • Methods: Based on the scientific knowledge mapping, co-author network and co-existence network, 22283 pertinent articles since the year 2010 have been collected to conduct a bibliometric study. • Results: The results show that the accelerated degradation reliability assessment spans over many research fields, and achieves great development in the mathematical modeling and experiment verification. • Conclusion: To further the study, more efforts are expected in the areas such as building effective evaluation systems and enhancing the credibility of the assessment outcomes, as more advanced sensory data and wireless communication technologies become available.