[Purpose/significance] The paper mainly discusses the characteristics of related multi- dimensional dy? namic big data and its utilizations in the emerging technology prediction. This research helps to integrate multi-dimen? sional dynamic big data and then provide frame support for emerging technology prediction. [Method/process] This pa? per firstly proposes a multi-dimensional dynamic big data association structure by exploring and analyzing the knowl? edge characteristics and complementary advantages of patent big data, paper big data, reward big data and economic big data. On this basis, the emerging index of a given industrial technology is quantified through a comprehensive analy? sis of "people" and "things". [Result/conclusion] The experiment results shows that prediction and analysis frame? work proposed in this paper makes full use of multi-dimensional dynamic big data information, which has high knowl? edge density and breadth, and this can provide more comprehensive multi-modal decision support for emerging tech? nology prediction.