Big Data, which appeared as a result of changes in the structure of generated data and the development of new technologies, is attracting more and more attention from both scientists and business practitioners. A lot of companies are adopting Big Data analytics for all-round business development and gaining additional competitive advantages. At the same time, it is known that Big Data analytics is a global trend that is changing the approach to managing organisations. However, despite the importance of this technology to competition, small and medium-sized companies have not shown much interest in such technologies. The aim of the paper is to analyze advantages resulting from its application in different areas of logistics such as supply chain or inventory optimization and to identify the prospects Big Data analytics using in small and medium-sized transport and logistics companies. In the process of research work, there were applied theoretical research methods, such as case method, source research, statistical analysis, synthesis and comparison. The practical part of this study contains an analysis of the best practices for using Big Data analytics in logistics, as well as the conclusions formulated on the basis of this analysis. The relevance of this work is due to the global growth in the volume of data in the world, the development of new technologies and the growing interest in this issue from the scientific community. Taking into account the fact that the development of Big Data analytics is seen as the basis of the company’s competitive advantages, ignoring these technologies by small and medium-sized logistics companies can, in theory, lead to their complete withdrawal from the market.

Keywords: Big Data, logistics, optimization, business, supply chain, economy efficiency, technology, analytics, global trend, tools, business development.