Mrs Yetunde Adebayo y.adebayo1@rgu.ac.uk
Lecturer
Mrs Yetunde Adebayo y.adebayo1@rgu.ac.uk
Lecturer
Mr Paul Udoh p.udoh1@rgu.ac.uk
Lecturer
Dr Xebiso Kamudyariwa x.kamudyariwa@rgu.ac.uk
Lecturer
Dr Oluyomi Osobajo o.osobajo@rgu.ac.uk
Principal Lecturer
The integration of Artificial Intelligence (AI) in construction project management is revolutionising the industry; offering innovative solutions to enhance efficiency, reduce costs, and improve decision making. This structured literature review explored the current applications, benefits, challenges, and future trends of AI in construction project management. This study synthesised findings from 135 peer-reviewed articles published between 1985 and 2024; representing Industry 3.0 (3IR), Industry 4.0 (4IR), and Industry 4.0 Post COVID-19 (4IR PC). Analysis showed that the Planning and Monitoring and Control phases of the project have the greatest application of AI, while decision making, prediction, optimisation, and performance improvement are the most common purposes of AI use in the construction industry. The drivers of AI adoption within the construction industry include technology availability, project outcome and performance improvement, a competitive advantage, and a focus on sustainability. Despite these advancements, the review revealed several barriers to AI adoption, including data integration issues, the high cost of AI implementation, resistance to change among stakeholders, and ethical concerns surrounding data privacy, amongst others. This review also identified future ongoing applications of AI in the construction industry, such as sustainability and energy efficiency, digital twins, advanced robotics and autonomous construction, and optimisation. By providing a comprehensive analysis of the evolution of practices and the future direction of AI application, this study serves as a resource for researchers, practitioners, and policymakers seeking to understand the evolving landscape of AI in construction project management.
ADEBAYO, Y., UDOH, P., KAMUDYARIWA, X.B. and OSOBAJO, O.A. 2025. Artificial intelligence in construction project management: a structured literature review of its evolution in application and future trends. Digital [online], 5(3), article number 26. Available from: https://doi.org/10.3390/digital5030026
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 3, 2025 |
Online Publication Date | Jul 9, 2025 |
Publication Date | Sep 30, 2025 |
Deposit Date | Aug 18, 2025 |
Publicly Available Date | Aug 18, 2025 |
Journal | Digital |
Electronic ISSN | 2673-6470 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 5 |
Issue | 3 |
Article Number | 26 |
DOI | https://doi.org/10.3390/digital5030026 |
Keywords | Construction industry; Project management, Artificial intelligence; Literature review; Construction project |
Public URL | https://rgu-repository.worktribe.com/output/2973214 |
ADEBAYO 2025 Artificial intelligence in construction (VOR)
(2.1 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The role of culture in stakeholder engagement: its implication for open innovation.
(2023)
Journal Article
About OpenAIR@RGU
Administrator e-mail: publications@rgu.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search