Nowadays, the Information and Communication Technologies (ICTs) are influencing people’s lives, and a data-driven model is empowering almost all business. Tourism sector is not an exception in the era of ICTs when smart devices are indispensable components. Information searching traces are left when people are using the smart devices for information supporting decision making. Therefore, referring to the tourism sector, the success of destination markets largely depends on tourists’ inspirations to choose and to visit. Big Data analytics is one of the methods predicting tourists’ arrivals to destinations. This paper aims at two folds, on the one hand, identifying tourists’ motivations to visit sustainable tourism destinations, on the other hand, exploring big data analytics’ capabilities in examining tourists’ selections to visit sustainable tourism destinations, especially, in the times of the post pandemic era.