Bibliometric perceptions into AI and cloud computing applications for innovative product development

This paper provides a bibliometric analysis of AI and cloud computing in product revolution and development. It attempts to make sense of its evolution and styles of research to date. A systematic analysis based on the PRISMA protocol was regulated over journals rescued from Web of Science Core Current Contents Connect (CCC) and Web of Science Core Collection (WoSCC) related to 118 articles published between 2009 and 2025. Python-based Bibliometric performance through analytical tools and visualization using VOSviewer statistics and science mapping. The findings reveal an authoritative yearly growth trend and rising academic attraction in the subject, and especially since 2018. The big players were universal in co-occurrence analysis of keywords. AI-focused Product Design, Cloud-based Collaborative engineering, digital twin, data analytics, generative AI and open innovation ecosystems. Furthermore, temporal overlay analysis shows a progressive transition from the pioneer articles of digital infrastructures to intelligent innovation systems. The results increase existing research on innovation management literature by aiming at how AI technologies, cloud programs and digital innovation ecosystems converge, revealing rich avenues for further cross-disciplinary research.