The development of Arabic language learning in Indonesia in the digital era has been marked by significant changes in learning methods, strategies, and instructional media. However, previous studies have remained fragmented and have not yet provided a comprehensive mapping of research trends and developmental directions in this field. This study aims to map publication trends, developmental patterns, and thematic tendencies of research on Arabic language learning methods, strategies, and media in Indonesia during the 2020–2025 period. This study employed a Systematic Literature Review (SLR) approach based on the PRISMA guidelines, complemented by bibliometric analysis using VOSviewer. Data were collected from the Dimensions. Through a systematic selection process, 1.171 articles were analyzed, comprising 509 studies on learning methods (ALMd), 139 studies on learning strategies (ALS), and 523 studies on learning media (ALMa). The analysis covered annual publication trends, country distribution, and keyword network visualizations. The findings reveal a significant increase in publications since 2023, with a sharp surge in 2025. Arabic language learning methods have evolved toward technology-based hybrid communicative models, learning strategies have been dominated by collaborative and digital approaches, and instructional media have shifted toward intelligent learning media based on Artificial Intelligence (AI) and Natural Language Processing (NLP). The bibliometric analysis confirms a strong convergence between Arabic language pedagogy and digital technology, as reflected in the dominance of keywords such as deep learning, learning systems, social media, and natural language processing. This study concludes that the development of Arabic language learning methods, strategies, and media in Indonesia is progressive and integrative, with digital technology serving as the primary catalyst, and provides a research map relevant to the advancement of Arabic language learning in the digital era.