[Purpose/Significance] The study provides valuable references for understanding and predicting older adults’ smart senior technology continuance intention, which can help guide the design and improvement of smart senior technologies and further enhance the user experience. [Method/Process] The meta-analysis method was used to comprehensively analyze 34 quantitative research papers, focusing on the relationship between 14 groups of key variables that affect the intention of the elderly to continue to use smart senior technology, and the source of heterogeneity of the research results was analyzed with the help of the moderating effect test. [Result/Conclusion] The findings showed that social influence, facilitating condition, satisfaction, perceived usefulness, perceived ease of use, trust, and participation were significantly and positively related to smart senior technology continuance intention. In contrast, perceived risk and technology anxiety were negatively associated with smart senior technology continuance intention. In addition, the gender composition of the sample, the level of economic development of the country, the type of technology, and the size of the sample can moderate the correlations between the variables, resulting in differences between the findings.