Creation of demand forecasting models based on public information

Statistic data are reported by government and organizations, and these data are considered to be important for forecasting future demand in the industry. In addition, patens and papers are issued and published all over the world, covering a wide range of technologies, and it would be powerful if this information could be applied to a forecasting model for demand forecasting. In this paper, we developed a demand forecasting model using the number of patent applications, the number of patent applicants, the value evaluation index of patens, and information on citations of papers, and examined the applicability of the model and which factors are related to demand in fields of photocatalyst and Li-ion batteries.