It is important for Japanese industry to increase productivity and to provide high value-added products and services through data utilization. Under such circumstances, new data technologies such as IoT, big data, and artificial intelligence are expected as keys to greatly improve industrial productivity. In this study, we conducted an exploratory analysis using a survey in the form of a questionnaire based on the research question "Is there a difference between industries regarding data utilization?" As a result of comparing the values (average values) of features for each industry included in the survey, it was found that many industries were similar and there were no industries that exhibited superiority regarding the outcomes of data utilization. In addition, cluster analysis was performed on the response coefficients calculated when data and behavioral attributes were input and the outcome item was output. As a result, it was found that there was an industry group with negative response coefficients and another industry group with positive response coefficients with respect to advanced data resources and technologies. From these findings, it was suggested that there was a gap between "expected outcome of investment in data resources and technologies" and "the actual outcomes of data utilization".