The main purpose of this study was to investigate the purchase decision analysis of automatic driving cars. With correlations between demographic variables, information, lifestyle, product attributes, perceived usefulness, perceived ease of use, product value and purchasing decisions. The study used questionnaire survey as the method. First, 30 questionnaires were collected and analyzed by using SPSS18.0 statistic software. The formal questionnaires for this study were for people who were over 18 years old and had a driver's license. The research data have 559 effective questionnaires to analyze. The study was used descriptive statistics, reliability analysis, factor analysis, pearson product-moment correlation and regression analysis. The main research findings were as follows: product attributes have a significant impact on product value, perceived usefulness has a significant impact on product value, perceived ease of use has a significant impact on product value, product attributes have a significant impact on purchasing decisions, perceived usefulness has a significant impact on purchasing decisions, perceived ease of use has a significant impact on purchasing decisions, product value has a significant impact on purchasing decisions, the demographic variables have a significant impact on each dimension, the information has significant impact on each dimension and the life style has significant impact on each dimension.