With the rapid development of the Internet and big data technology, tourism has become one of the important pillar industries of the global economy. In order to enhance the competitiveness and service efficiency of the tourism industry, this article proposes a model construction method based on artificial intelligence and aimed at smart tourism big data analysis. This method involves multiple steps. The first step is data cleaning, followed by data integration, followed by steps such as data conversion, data reduction, feature extraction, and data standardization. Different sources and types of data are processed and analyzed to generate useful information and insights for the tourism industry. Through experiments, it has been proven that the model proposed in this article can effectively help tourism operators deeply understand tourist behavior, predict tourism trends, improve service quality and efficiency, and create a more intelligent and personalized tourism experience. In the future, this model will continue to be explored and improved, and make greater contributions to the sustainability and further digitization of the tourism industry.