Mapping Emerging Trends in Augmented Analytics and Generative AI for Business Intelligence: A Bibliometric Analysis (201932025)

Abstract

The landscape of Business Intelligence (BI) goes through a
transformation because augmented analytics combined with generative AI
facilitates automated data processing and insight generation. Research identified
emerging trends and intellectual structures by analyzing 374 peer-reviewed
Scopus publications from 2019 to 2025. Network visualization tools allowed
researchers to see co-authorship patterns together with publication trends
alongside thematic clusters. The research shows that scholarly production of
Business Intelligence grew extensively from 2023 before reaching its peak during
2024 followed by its stabilization in 2025. Yogesh K. Dwivedi together with Ooi
Keng-Boon and Arpan Kumar Kar established a dominant scholarly group which
governs the evolution of the field. The analysis displays four main groups: (i)
Machine Learning together with Natural Language Processing, (ii) Privacy issues
and ethical matters, (iii) Specific domain utilization and measuring approaches
and (iv) Interactive BI with visualization practices. The worldwide collaboration
network shows strong partnerships exist between universities in the USA and
China. Research findings create vital knowledge about augmented analytics and
generative AI in BI which demonstrates the necessity to connect academic work
with industrial implementation practices.