Abstract

The rapid diffusion of artificial intelligence (AI) has reshaped the foundations of digital marketing, transforming how organizations analyze data, predict consumer behavior, and design customer engagement strategies. This study aims to provide a systematic overview of global research on AI-driven digital marketing by applying bibliometric techniques to publications indexed in the Scopus database between 2018 and 2025. 

A total of 1,405 documents including 1,307 articles and 98 review papers were retrieved and analyzed directly from the Scopus database to map publication performance, journal productivity, authorship patterns, thematic structures, and geographical distribution. Results indicate a sharp rise in academic attention after 2021, reflecting the growing convergence of artificial intelligence, machine learning, and consumer analytics within marketing research. The United States, India, and China remain the most influential contributors, while emerging economies such as Malaysia and Indonesia have shown increasing scholarly visibility in recent years.

Keyword and thematic analyses highlight four major research streams: (i) AI adoption and marketing automation, (ii) consumer behavior and engagement analytics, (iii) data ethics and transparency, and (iv) sustainable and responsible AI marketing. Overall, the findings demonstrate that the field is transitioning from experimental adoption toward a mature, interdisciplinary, and globally distributed research domain. The study offers valuable insights for scholars and practitioners seeking to understand how intelligent technologies are redefining marketing theory and practice in the digital era.

Keywords

  • Analytical Hierarchy Process
  • alternative strategy

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