Big data has positioned itself as a technological tool with the greatest impact on tourism, it has become evident the importance of managing information to provide quality services and be more competitive, based on the analysis of the data set generated by tourists before, during and after travels. The aim of this article is to explore Big Data trends in the tourist context. The methodology was a bibliometric analysis of 269 publications, where indicators of productivity, quality, structure and thematic trends were raised and analyzed. The findings show the growing interest in the subject in recent years, in terms of tourism management, social networks, dataset analysis, consumer behavior and tourism development. It is concluded that the analysis of large volumes of data to forecast the demand and preferences of tourists using data from web traffic and social networks, shows the need to develop strategies aimed at smart tourism.