This bibliometric review investigates the evolution of global research on language learning innovations from 2015 to 2025 using the Web of Science Core Collection as its primary source. Analyzing over 1,100 academic papers, the study maps publication trends, citation dynamics, co-authorship networks, and thematic shifts across geographical regions. Key developments include the increasing prevalence of mobile-assisted language learning (MALL), content and language integrated learning (CLIL), virtual exchange programs, and the use of AI-powered feedback systems. Dominant contributors include scholars from East Asia (notably China, Japan, and South Korea), the European Union, and the Middle East. The research highlights a surge in learner-centered approaches facilitated by technologies such as speech recognition, intelligent tutoring systems, and gamified vocabulary acquisition apps. Co-occurrence mapping reveals clusters focused on learner autonomy, digital fluency, peer collaboration, and multilingual policy. Despite the growth in innovation, the literature reflects ongoing challenges in standardizing assessment, ensuring equity in access, and adapting tools for diverse linguistic and cultural contexts. The study concludes by emphasizing the need for inclusive policies and scalable digital platforms to support language acquisition in both formal and informal learning environments.

Keywords: Language learning, MALL, AI in education, CLIL, multilingualism, virtual exchange, bibliometric review.