[Purpose/Significance]Technological convergence is a key factor in promoting technological in-novation.Its early prediction is of great significance.This article systematically reviews existing research on tech-nological convergence prediction from a complex and dynamic perspective,with a view to providing reference and inspiration for further research.[Method/Process]Firstly,the relevant theories,characteristics,and measurement indicators of technology convergence prediction are systematically sorted out;Secondly,the current understanding and practice of the formation mechanism of technological convergence are summarized from the perspective of complexity;From a dynamic perspective,the network and splitting methods used in current technology conver-gence prediction are discussed;Finally,the key issues faced by current research on technology convergence pre-diction are discussed from a complex dynamic perspective,and future research directions are prospected.[Results/Conclusion]Existing research generally lacks a full understanding of the dynamics and complexity of technology convergence.The optimal representation of technology reorganization mechanisms,network heterogeneity,node dynamics,and semantic features may make a breakthrough in improving the prediction ability for technology con-vergence.
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