Abstract: The dynamic monitoring of the growth stage of emerging technologies is a relatively complicated task. The existing researches start from the perspective of qualitative evaluation, and construct the general method of technology growth monitoring. Relevant results have laid the foundation for more objective quantitative method selection. This paper aims to provide a measurable standardization of emerging technology growth detection technology. Specifically, it includes: (1) Using mathematical models to present the Hype Cycle technology growth curve proposed by Gartner in a quantifiable manner. (2) According to the mathematical characteristics of the Gompertz curve, the division and judgment methods of the technology growth stage are given. (3) The application process of the emerging technology growth monitoring method is given in combination with the situations that may occur in practical applications. (4) The three core technologies of artificial intelligence are selected to conduct an empirical test on the proposed monitoring method, and the matters that should be paid attention to in subsequent applications are presented. It is hoped that our results provide a new way of thinking for the current technology growth monitoring theory and method research.