This study is a bibliometric analysis using Vosviewer software, with the aim of reviewing published scientific products and drawing a scientific map in the field of application of AI in predicting customer lifetime value, which investigated this field using 416 articles indexed between 2001 and 2022. To conduct this study, co-authorship analysis, co-citation analysis and co-occurrence analysis were used for network analysis. In the end, according to the analyses carried out, the simultaneous occurrence of two items indicates the simultaneous occurrence of AI technologies such as such as machine learning, data mining, deep learning, big data, neural networks with words such as business performance, customer experience, customer classification, segmentation, customer loyalty, customer relationship management, customer retention, brand equity, customer equity. Based on the results, machine learning and neural networks are the most widely used types of artificial intelligence in predicting customer lifetime value.
