article · Buildings
Digital transformation across architecture, engineering, and construction relies increasingly on combining Building Information Modelling with artificial intelligence. In Morocco, however, adoption remains in its early stages. A scoping review of literature spanning from 2015 to 2025 reveals that local digital construction research has grown through three distinct phases, but remains heavily concentrated on energy-efficiency applications rather than structural engineering or project management. Across the small set of local studies addressing this technological convergence, integration is largely restricted to early, three-dimensional modelling stages, leaving notable conceptual and practical gaps. To address these barriers, a three-tiered strategic roadmap has been developed to coordinate policy interventions, industrial uptake, and academic research, aiming to advance systemic digital transformation across the country's building and infrastructure sector.
Modernising the construction industry using artificial intelligence and digital modelling can streamline project delivery and improve building performance. Understanding the specific gaps in developing economies like Morocco helps identify where digital tools are lagging, such as in structural engineering and site management. This insight enables targeted interventions across regulation, industry practice, and education to foster smarter and more efficient infrastructure development.
The work outlines potential applications of integrated digital modelling and artificial intelligence for architecture and construction management, primarily relevant to industry practitioners, software developers, and policymakers. However, because local adoption is still at an early, largely 3D-focused stage with significant empirical gaps, practical commercial deployment appears to be in its early conceptual phase, requiring coordinated policy support, academic research, and industry engagement before widespread market solutions can be established.
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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.
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DOI: 10.3390/buildings16163287
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