This study aims to examine the effect of social networks on consumer utility. An agent-based model was employed to simulate the interaction among consumers in different social network types. Jager’s (2000) agent-based model was reconstructed, and a two-dimensional utility function was introduced, considering decision-making time (product involvement) and incorporating all types of consumption scenarios. The goal was to simulate the impact of different types of social networks, social network densities, consumer cognitive types, and the total number of consumers on individual consumer utility. The utility function was decomposed into individual and social components to identify the primary factors influencing consumer utility. Research results indicate that in any social network, as the network becomes more dispersed, consumer utility increases. The reason for this is that the decline in social influence causes the social aspect of utility to be diluted and reduced, rather than a pure increase in individual utility. After examining the impact of the number of market participants and the density of social networks on consumer utility, it was found that if consumers are in an appropriate social network, consumer utility increases. This refers to situations where there are more consumers in a dispersed network or fewer consumers in a dense network. In these two types of social network environments, it is relatively advantageous for new entrants, but this advantage is not as evident for existing vendors.