The visual process is sustained by complex interactions between the functioning of the ocular globes, the central unit (brain), and the surrounding environment. This process is supported by the recording of movement parameters, which can provide information about the state of normality, attention, memory, refractive visual dysfunctions, the condition of the oculomotor system, or emotional state. Over time, various procedures and ocular monitoring systems have been developed, and analyses of the types of eye movements have been conducted. However, significantly fewer studies have focused on a crucial aspect: the prediction of eye movement evolution for the assessment of normality or the presence of visual dysfunctions. In this paper, the authors present an analysis of the process of predicting potential ocular dysfunctions through the simulation of eye movements. The method used is based on the knowledge of simulating eye movements using the LabVIEW programming environment and the ability to correlate these simulations with video-recorded movements. In conclusion, the processing of the obtained data and the conceptualization of predictive analysis for the evolution of eye movements reveal the system’s ability to reasonably estimate ocular behavior. This can contribute to the creation of a predictive kinematic model for the evolution of the visual system, with implications in learning processes, detection of dysfunctions, or behavioral manifestations.