The fast growth of electronic waste or e-waste is considered one of the serious economic and environmental concerns in the world. Traditional e-waste management (EMW) is unable to deal with the increased volume and complexity of this waste. This issue makes digitalization to be considered as a new solution. Digital technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, Big Data, Cloud Computing, Cyber-Physical Systems (CPS), Edge Computing, Robotics, and Digital Twins have great potential to improve the efficiency, traceability, and sustainability of EWM. This study presents a systematic literature review (SLR) to examine how these technologies are adapted in different e-waste processes and what challenges there are in their implementation. The aim of this review is to present a structured classification of digital technologies based on their function in e-waste processes. By taking a comprehensive approach, this study helps clarify how digital tools are used in e-waste management and suggests directions for future research and policymaking.