The aim of this work package, Big Automotive Data Analytics (BADA) Business Models, is to identify how Big Data can reinforce the current business models, or perhaps lead to modifications in the current business models, that will result in better performance of the entire land transport infrastructure. When all land transport vehicles, irrespective of how they are powered, act as multiple sensors in the road network, massive amounts of data can be collected on how these vehicles are using the network. This data, combined with other types of data, such as weather, temperatures, events and historical statistics, will enable more effective, safer and more environmentally responsible transport. The great challenge for society in general and both public authorities and private enterprises is to find effective ways to contribute to the new possibilities that big data analytics offer and to benefit from these possibilities by delivering better products and services. This report attempts to identify the principal consequences of employing big data analytics in the land transport context and to provide recommendations on how the BADA partners can do so most effectively.