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AI in Construction Market size valued at over USD 2.5 billion in 2022 and is anticipated to grow at a CAGR of 20% between 2023 and 2032. The industry growth is owing to improving efficiency and productivity through the optimization of project scheduling, resource allocation, and task management, leading to reduced timelines & costs.
Data-driven decision-making leverages AI's ability to analyze large volumes of construction data, enabling informed & proactive planning and resource optimization. Furthermore, AI enhances safety in construction operations through real-time monitoring, hazard detection, and compliance enforcement. It also enables quality control and defect detection, ensuring high construction standards and reducing rework.
Report Attribute | Details |
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Base Year: | 2022 |
Artificial Intelligence in Construction Market Size in 2022: | USD 2.57 Billion |
Forecast Period: | 2023 to 2032 |
Forecast Period 2023 to 2032 CAGR: | 20.3% |
2032 Value Projection: | USD 15.16 Billion |
Historical Data for: | 2018 – 2022 |
No. of Pages: | 300 |
Tables, Charts & Figures: | 369 |
Segments covered: | Component, Deployment Model, Organization Size, Application, End User, and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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The high cost of investment and operation is a significant obstacle hampering AI in construction market growth. Developing and implementing AI technologies in construction projects require substantial financial resources including the cost of acquiring AI systems, hardware, software, and specialized expertise. Moreover, operational & maintenance expenses can be substantial including the need for skilled personnel, regular updates, and infrastructure requirements. The high cost of investment and operation makes it challenging for small- & medium-sized construction companies to adopt AI solutions.