The emergence of industrial revolution 4.0, digital era, social media networks, ride-sharing transportation networks, video on demand, 5G network technology, and other cutting-edge technologies has transformed the current research paradigm in science into the fourth stage where “big data” is analyzed using various statistical explorations. Conversely, there are still deficiencies in scientific articles exploring “big data” in the logistics and supply chain research communities. Thus, the objective of this study was to conduct a comprehensive review of the trends and the current status of big data analytics (BDA) in the logistics and supply chain research communities. An elaborate examination was performed by analyzing the big data papers published in logistics and supply chain journals. The results have uncovered three things: the changing roles of BDA; some daunting challenges of implementing big data analytics, along with its recommended solutions; and the promising future of logistics and supply chains. All the findings would be helpful for creating a good research design and for implementing big data analytics (BDA) in the related fields.