Our contemporary society demands highly qualified professionals in all sectors, and education serves as the keystone for achieving this goal. While educational institutions are diligently preparing their students to thrive in this context, emphasizing inclusivity across all demographics is crucial. An essential group in this regard comprises students with Intellectual and Developmental Disabilities (IDDs), who require tailored tasks, content, and activities to facilitate their learning. A crucial consideration is facilitating their success in education, and in this context, Learning Analytics (LA) emerges as a potential solution. LA aims to optimize students' learning experiences by gathering and analyzing their data in order to facilitate better interventions.However, it is imperative to ascertain whether LA has been effectively utilized with IDD students. To address this issue, this research project proposes a Systematic Literature Review, considering six of the most relevant scientific works sources, and identifying 364 studies. These studies underwent meticulous filtering and evaluation, resulting in 28 records which specifically address the use of LA with IDD students. Insights gained from the review indicate that the application of LA in the learning experiences of IDD students is viable. However, it necessitates careful consideration of factors such as students’ difficulties and special characteristics, learning contexts, and the available resources to construct effective learning interventions.