A three-tiered strategic roadmap is proposed, targeting policy, industry, and academia, to accelerate digital transformation and innovation in Morocco’s construction sector.
Abstract
The convergence of Artificial Intelligence (AI) and Building Information Modeling (BIM) is reshaping how the Architecture, Engineering, and Construction (AEC) sector manages projects across their lifecycle, yet the systemic uptake of this convergence remains poorly understood in developing-economy contexts such as Morocco. This study examines the state, opportunities, and barriers of BIM–AI integration in Morocco’s AEC sector through a PRISMA-guided scoping review combined with a bibliometric analysis. An initial global search of Scopus and Web of Science identified 1842 records; after successive screening for relevance to BIM–AI integration and to the Moroccan context, six core studies were retained for detailed synthesis. The bibliometric analysis, covering the broader filtered corpus, shows a publication trend with three distinct growth phases between 2015 and 2025 and reveals that Moroccan research output on digital construction is disproportionately concentrated on energy-efficiency applications rather than construction management or structural engineering. The synthesis of the six core studies further indicates that BIM–AI integration in Morocco remains at an early, largely 3D-focused stage, with significant conceptual and empirical gaps. Building on these findings, this study proposes a three-tiered strategic roadmap, targeting policy, industry, and academia, to accelerate digital transformation and innovation in Morocco’s construction sector.
Despite the construction sector’s major environmental footprint and the complementary roles of the EU Level(s) framework and BIM in lifecycle-based sustainability assessment, systemic understanding of how the two are integrated remains limited. This study conducts a systematic literature review, following PRISMA 2020 g...
This study presents a scoping review on Building Information Modeling (BIM), focusing on its applications in the construction industry. The methodology comprised five stages: formulation of search terms, data collection in the Web of Science and Scopus databases, selection of documents, reading and categorization of th...
Daniel F. Mariano, Valquiria Miwa Hanai Yoshida· Revista ft· 0 citations
The reviewed studies indicate that BIM-AI workflows may improve planning efficiency, estimation accuracy, and resource allocation, but still faces challenges related to software interoperability, data quality, interdisciplinary coordination, and the limited integration of explicit sustainability indicators within optim...
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Lean Construction (LC) has evolved from an emerging adaptation of production principles into a mature academic domain, yet a comprehensive assessment of its global structure and development remains needed. This study presents a rigorous bibliometric and scoping review of LC research using a sample of 484 highly refined...
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The construction industry is at the forefront of adopting innovative technologies to meet the global challenges posed by sustainable development. This study explores the intersection of Artificial Intelligence (AI), Building Information Modeling (BIM), and the achievement of the United Nations Sustainable Development G...
S. Adekunle, O. Akinradewo, C. Aigbavboa et al.· 2026: Transforming Construct...· 0 citations
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