Autism Spectrum Conditions (ASC) are neurodevelopmental disorders affecting communication, social interaction, and behavior. Many centers manually collect and track children’s developmental skills using printed forms, creating a heavy administrative burden for therapists who spend significant time organizing information. This paper presents a mapping review of research on technological tools used for collecting, tracking, monitoring, and assessing children with ASC. The search was conducted in the ACM Digital Library, IEEE Xplore, and Scopus databases, covering the period from 2011 to 2024. The inclusion criteria focused on the following: data collection, monitoring, tracking, or assessing the developmental skills of children with ASC or other neurodevelopmental conditions. The methodology for conducting the mapping review consisted of three main phases: planning, execution, and reporting. Initially, 583 records were identified, and 26 studies were selected after applying the inclusion and exclusion criteria to align with the review’s objectives. The findings indicate that 88.46% of the reviewed technological tools focused on data collection, 50% on tracking, 15.38% on monitoring, and 15.38% on assessing. This mapping review provides a comprehensive overview of the current state of digital tools for therapeutic work with ASC, highlighting opportunities to develop more integrated solutions that enable continuous monitoring and adaptability across various intervention methods.