The trucking industry is crucial to both the supply chain and the national economy, yet it also significantly contributes to pollution through greenhouse gas (GHG) emissions. Recently, the emergence of Digital Freight Matching (DFM) models has been a response to a notable deficiency in freight forwarding. These models aim to combat emissions and enhance efficiency within the trucking industry. DFM models utilize information technology tools and advanced data analytics techniques to address the problems of the traditional approach. Recently, various DFM business models have been proposed, each with different characteristics. A review of the existing literature reveals that there are no studies that analyze and compare these business models. In this regard, the present study not only critically reviews the evolution of freight forwarding but also comprehensively analyzes various DFM business models in terms of operational process, revenue, customer relationship, and digitalization. Moreover, it addresses critical questions about the advantages and disadvantages of traditional Freight Brokers and DFM models and their impact on the industry. Finally, the study results offer insightful suggestions, serving as a guide for startup companies looking to choose an appropriate business model. In addition, the result indicates that there is not a universal business model that fits all companies aiming to venture into DFM.