Background: Cardiac Amyloidosis (CA), a major type of systemic amyloidosis, significantly impairs the function of heart and other vital organs. This bibliometric analysis aims to evaluate the evolution and scope of CA research, with a focus on echocardiography, up to November 2023. Methods: Articles related to CA and echocardiography were sourced from the Web of Science Core Collection (WOSCC). Data analysis was carried out by R package ‘Bibliometrix’ for key findings, keyword tracking, and mapping global collaborations analysis. VOSviewer was applied for co-authorship and keyword trend analysis, while CiteSpace was used to performco-cited references analysis. Results: The study included 477 articles, with the USA, Italy, and France as the predominant contributing countries. Research output showed an increasing annual publication trend, particularly from 2014 onwards. Notable findings include the integration of artificial intelligence in echocardiography and the expansion of multimodal imaging methods. Common keywords included ‘cardiac amyloidosis’, ‘echocardiography’, ‘meachine learning’, ‘AI’ Conclusions: This study presents a comprehensive bibliometric analysis of CA research, emphasizing the growing role of echocardiography enhanced by AI and advanced imaging techniques. The findings provide valuable insights for ongoing research and clinical practice in cardio-oncology.