Studying the exoplanetary atmospheres reveals chemical compositions of the atmosphere, including the existence of other life beyond Earth. It is well known that the atmosphere affects the livelihood of living things. This research studied the atmospheres of exoplanets discovered by transit technique. In this work, transmission spectroscopy technique, which studies exoplanetary atmosphere during their transits, is focused. When an exoplanet passes in front of its host star, the starlight dims. The magnitude of the reduction in starlight in each waveband depends on the chemical composition in its atmosphere. Nowadays, a number of exoplanets have been studied their atmospheres using this technique. However, the tools and methods of analyses might differ in each work, which might be result the difference results. Therefore, in this work, the 1,517 published transit light curves of 163 exoplanets are used to analyze their atmospheric composition using TransitFit and PLATON, python exoplanetary fitting model based on nested sampling algorithm. The light curves were used to to determine the physical properties and transit depth using TransitFit. There are 17 exoplanetary systems which can be analysed their atmospheric composition. Furthermore, the PLATON program was used to analyze the atmospheric composition of the exoplanets. Finally, Statistical study of atmospheric composition data of different types of exoplanets describes properties and the origin of the atmospheres of each type of exoplanets.