Abstract
This study conducted a bibliometric analysis to investigate the evolving trends in the application of artificial intelligence (AI) to support the Sustainable Development Goals (SDGs). A total of 2,653 original articles were retrieved from the Scopus database to map the current research landscape. The study identified the key authors, institutions, coun-tries, and emerging themes in this multidisciplinary topic. The results indicate a substan-tial rise in publications between 2000 and 2024, and a particularly notable growth post-2018 reflecting increasing academic and practical interest. Noteworthy contributors, such as leading journals and influential papers, show the multidisciplinary nature of AI appli-cations in addressing different SDGs like climate action, quality education, and sustain-able cities and communities. The geographical distribution of research shows that China and India are leading contributors, while the United States shows significant international collaboration. Key themes that arose include 'machine learning', 'deep learning', and 'nat-ural language processing', with a significant focus on 'sustainability' and 'societal con-cerns’. This study not only enriches comprehension of AI's significance in supporting SDGs but also offers valuable insights for future research, policymaking, and practical application. The results highlight the global reach and collaborative endeavours in har-nessing AI for sustainable development and hence are an important resource for research-ers, professionals, and stakeholders dedicated to advancing this field.