From BIM and Geospatial Technology to AI-Driven Digital Twins: Integrating Policy, Geospatial Intelligence, and Technological Synergies in Malaysia

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S.A.A.F.S.A Abdul Rahman
S. Shaharuddin
M.F. Shapiai
A. Ahmad

Abstract

As Malaysia embraces digital transformation in the construction and geospatial sectors, the integration of Building Information Modelling (BIM), geospatial technology, and Artificial Intelligence (AI) becomes increasingly critical. Central to this transformation is the concept of the Digital Twin, a data-rich virtual counterpart of physical infrastructure. However, despite the rise of BIM and spatial standards, Malaysia's progression beyond early-stage digital maturity remains limited. Current implementations are fragmented, with minimal integration between BIM, geospatial datasets, and AI systems. This paper addresses the policy gaps inhibiting Malaysia's advancement along the Digital Twin Maturity Model (DTMM), which ranges from Maturity Level (ML) 0 (No Twin) to ML5 (Autonomous). The study employs a qualitative methodology that combines a Rapid Review of strategic documents with Qualitative Content Analysis. Key policy instruments such as National Construction Policy 2030, Construction 4.0 Strategic Plan, JKR’s directive circular, JUPEM’s regulatory circulars and PLANMalaysia’s Smart City Implementation Guidelines were evaluated and coded against DTMM benchmarks. The findings reveal that Malaysia's current frameworks support ML1–ML2 maturity, enabling visualization and historical data integration. However, limited legal interoperability, institutional fragmentation, and absence of AI-readiness protocols prevent progression toward predictive (ML3), optimization (ML4), and autonomous (ML5) capabilities. This study contributes a maturity-aligned policy mapping and proposes strategic interventions including the creation of a Digital Twin Coordination Unit, legal reform for cross-domain integration, and DTMM-linked KPIs in public infrastructure mandates. The paper offers a policy roadmap for elevating Malaysia’s Digital Twin readiness in alignment with its broader Industrial Revolution 4.0 goals.

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How to Cite
Abdul Rahman, S., Shaharuddin, S., Shapiai, M., & Ahmad, A. (2026). From BIM and Geospatial Technology to AI-Driven Digital Twins: Integrating Policy, Geospatial Intelligence, and Technological Synergies in Malaysia. International Journal of Geoinformatics, 22(1), 12–23. https://doi.org/10.52939/ijg.v22i1.4713
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