Bridging Brains and Bots: The Impact of AI on Neuromarketing

Abstract

This paper delivers an up-to-date bibliometric review and analyzes the evolving landscape of artificial intelligence (AI) and neuromarketing integration. It systematically analyzes a comprehensive set of scholarly articles, publications, and research outputs to unveil trends and patterns in the intersection of AI and neuromarketing. The review highlights the evolution of methodologies, tools, and applications resulting from integrating AI and neuromarketing. It shows a significant and constant increase in scholarly interest in the intersection of AI and neuromarketing over the past decades. The study also emphasizes the multifaceted approach of AI and Neuromarketing research, encompassing fields such as computer science, decision science, engineering, psychology, and medicine. the research is categorized into five clusters: (1) the neuroscience and brain structure; (2) methodological approaches and neuroscience tools for diagnostics and imaging; (3) signal processing and analysis; (4) machine learning and neural networks; and (5) applications in cognition and perception. The insights derived from the bibliometric analysis contribute to a deeper understanding of the current state of research and provide a roadmap for future investigations, guiding scholars, practitioners, and policymakers in navigating the dynamic landscape of AI-driven advancements in neuromarketing.

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