The study is a comprehensive bibliometric review of Strategic Intelligence (SI) and Growth Management which are becoming more relevant as they affect the organizational decision-making in highly competitive and digitally driven marketplaces. Although the amount of research work in both fields is increasing, there is still no single and longitudinal mapping of the development of Strategic Intelligence and Growth Management on how these two domains have co-evolved and the intersecting intellectual and thematic frameworks of these two domains. This paper fills this research gap by synthesizing, and visualizing, the fragmented body of research at their intersection in a systematic manner. The paper provides insight into the intersection of these two areas through the identification of the fruitful research domains, tracing the intellectual roots, as well as outlining the new directions in the research in this transdisciplinary field. The quantitative bibliometric strategy is anchored on a dataset of 2,272 indexed journal articles listed in Scopus and published in 2016-2025. Metadata was extracted using bibliometric methods along with performance analysis and creation of science maps. VOSviewer and Bibliometrix R were used in order to create co-word, co-citation, and co-authorship networks. The results indicate that there is great international collaboration as indicated by an international co-authorship percentage of 30.37% and 5,907 authors. The articles have been cited 53,089 times, and this shows increasing scholarly influence in the field of strategic intelligence and growth management. The strategic focus areas are digital intelligence, innovation management, strategic foresight, and performance improvement, and the emerging themes are applying artificial intelligence, big data, and decision intelligence to strategy growth activities. Overall, this research presents the dynamics of intelligent growth strategies as it elucidates the intellectual framework of the field and offers a systematic basis on the future theoretical and empirical studies.
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Azzaoui et al. (2026) studied this question.
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