Investigating the Use of Artificial Intelligence (AI) in Construction Project Management

Abstract: The construction industry is undergoing a transformative shift through the integration of Artificial Intelligence (AI) technologies, particularly in project management. This study investigates the current and potential applications of AI in construction project management, focusing on areas such as planning and scheduling, risk assessment, cost estimation, resource allocation, and real-time decision-making. By reviewing recent literature, case studies, and industry reports, the research highlights how AI-driven tools—such as machine learning algorithms, predictive analytics, and autonomous systems—enhance project efficiency, accuracy, and productivity. The findings reveal both the benefits and challenges of AI adoption, including issues related to data quality, workforce adaptability, and implementation costs. This study concludes with recommendations for construction firms aiming to leverage AI for improved project outcomes and a roadmap for future research directions in this evolving field

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-16
DOI
https://doi.org/10.22214/ijraset.2025.70831
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating the Use of Artificial Intelligence (AI) in Construction Project Management

S. R. Suryawanshi
International Journal for Research in Applied Science and Engineering Technology
BIM and Construction Integration
article

Investigating the Use of Artificial Intelligence (AI) in Construction Project Management

S. R. Suryawanshi
article en

Abstract

Abstract: The construction industry is undergoing a transformative shift through the integration of Artificial Intelligence (AI) technologies, particularly in project management. This study investigates the current and potential applications of AI in construction project management, focusing on areas such as planning and scheduling, risk assessment, cost estimation, resource allocation, and real-time decision-making. By reviewing recent literature, case studies, and industry reports, the research highlights how AI-driven tools—such as machine learning algorithms, predictive analytics, and autonomous systems—enhance project efficiency, accuracy, and productivity. The findings reveal both the benefits and challenges of AI adoption, including issues related to data quality, workforce adaptability, and implementation costs. This study concludes with recommendations for construction firms aiming to leverage AI for improved project outcomes and a roadmap for future research directions in this evolving field

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
Openalex Percentile: Top 90%
BIM and Construction Integration
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Investigating the Use of Artificial Intelligence (AI) in Construction Project Management — S. R. Suryawanshi · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS