Artificial Intelligence for Product Innovation: A Bibliometric Analysis

Artificial intelligence is rapidly transforming business operations, attracting significant attention for its role in innovation. Even though artificial intelligence and product innovation have already been studied as separate fields, their intersection remains underexplored in the literature. As the adoption of artificial intelligence increases, it is becoming essential for both academia and industry to understand its impact on new product development and business model innovation. A bibliometric analysis was performed on 72 papers sourced from the Web of Science database, published between 2019 and 2024, analyzing publication trends, keyword co-occurrence, collaboration networks, and thematic clusters. This study aims to answer the following research questions: (1) What are the primary research trends in the academic literature at the intersection of artificial intelligence and product innovation? (2) Does the association of artificial intelligence and product innovation represent an area of research with high potential? The results show a significant increase in the number of studies, with a high annual growth rate of 65,28% and a high international co-authorship rate of 48,61%, confirming that this topic is relevant globally. The cooccurrence analysis shows a strong connection between artificial intelligence, innovation, product innovation, and new product development, demonstrating the growing academic interest on this field. The thematic map classifies the intersection of artificial intelligence and product innovation as a motor theme, suggesting strong opportunities for additional research and interdisciplinary studies. This research contributes to the literature by mapping existing research, identifying key gaps, and offering insights for future studies on the role of artificial intelligence for new product development.