This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessReview
A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency
by
Yangluxi Li
Yangluxi Li
Huishu Chen
Huishu Chen 
,
Peijun Yu
Peijun Yu
Li Yang
Li Yang
1
Welsh School of Architecture, Cardiff University, Cardiff CF10 3XQ, UK
2
School of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China
3
School of Materials Science and Engineering, Hainan University, Haikou 570228, China
4
College of Architecture & Urban Planning, Tongji University, Shanghai 200092, China
*
Authors to whom correspondence should be addressed.
Submission received: 9 January 2025
/
Revised: 28 January 2025
/
Accepted: 30 January 2025
/
Published: 31 January 2025
Featured Application
The application of Artificial Intelligence (AI) in architectural design can significantly enhance design efficiency, foster innovation, and improve the sustainability of building projects. AI-driven tools, such as parametric design and AI-assisted design methods, are already helping architects optimize layouts, reduce material waste, and create energy-efficient structures. As AI continues to evolve, its potential to streamline construction processes, provide predictive analytics for building performance, and enable smarter facility management could reshape the entire building lifecycle, making the construction industry more adaptive and resilient to future challenges.
Abstract
At present, Artificial Intelligence (AI) technology is developing rapidly, and the construction industry is facing three major trends: industrialization, greening, and digital intelligence. This paper explores the application of AI technology in the field of architectural design and its impact on design efficiency, with 1810 articles screened from the Science Direct, Web of Science, Scopus, and China National Knowledge Network (CNKI) search engines, 92 of which were selected for meta-analysis and review. The results show that AI has great potential in the architectural design process, including creative development, data analysis, and problem-solving. In addition, AI has other applications throughout the building lifecycle, such as predictive analytics, construction supervision, and facility maintenance. In addition, through the discussion of traditional architectural design methods and AI-driven architectural design methods, this paper summarizes the advantages and challenges of AI technology in architectural design. Finally, through case analysis, this paper believes that the future of AI in the field of construction is full of infinite possibilities; through the correct guidance and regulation of its development, it will certainly bring more innovation and progress for the construction industry.
Share and Cite
MDPI and ACS Style
Li, Y.; Chen, H.; Yu, P.; Yang, L.
A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency. Appl. Sci. 2025, 15, 1476.
https://doi.org/10.3390/app15031476
AMA Style
Li Y, Chen H, Yu P, Yang L.
A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency. Applied Sciences. 2025; 15(3):1476.
https://doi.org/10.3390/app15031476
Chicago/Turabian Style
Li, Yangluxi, Huishu Chen, Peijun Yu, and Li Yang.
2025. "A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency" Applied Sciences 15, no. 3: 1476.
https://doi.org/10.3390/app15031476
APA Style
Li, Y., Chen, H., Yu, P., & Yang, L.
(2025). A Review of Artificial Intelligence in Enhancing Architectural Design Efficiency. Applied Sciences, 15(3), 1476.
https://doi.org/10.3390/app15031476
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.
