As data increasingly becomes more of an asset for various business models, the need for enabling privacy concerning personal or restricted data grows not only in the holding companies, but also in the data markets themselves. These data markets must be equipped with privacy preserving mechanisms that at the same time allow the product to be accessible and valuable for potential buyers. The goal of this thesis is to analyze the state of these mechanisms within existing data markets, as well as dening the direction of the current research trends and gaps. We focus our research on data that is exchanged between IoT devices that communicate with several smart protocols and algorithms.