The uptake of artificial intelligence (AI) technologies in construction has been slow. Yet AI has the potential to deliver tangible benefits at every step of the construction value chain, from conceptual design to operations and maintenance. Construction AI companies have the potential to revolutionise the entire industry over the coming years.
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As the construction value chain is fragmented, effective collaboration and communication between multiple stakeholders is key. AI-powered tools can automate processes and provide intelligent business insights, from sending documents and responding to requests for information (RFIs) to tracking open issues and automatically notifying participants when reality deviates from plans.
There is growing potential for AI to augment productivity at the construction stage. Smart robots and context-aware computing can alleviate current industry-wide productivity stagnation and protect against the shortage of skilled labour workers.聽
Leading AI construction companies聽
Construction-specific technologies such as building information modelling (BIM) and generative design are not AI. However, the symbiotic relationship between these technologies and AI will blossom in the coming years, making them even more powerful. Lots of small wins at each step of the broken value chain can add up to big wins in .
Companies that invest in and engage with AI technologies will see the benefits, not only in current projects but in future ones too. Stakeholders using AI to smooth problems and aid processes at each step of the construction cycle and keep all interested parties involved will win over the long term.
Leading adopters of AI in construction are , , , , Samsung, , , , and .
Discover the leading AI companies in the 猫咪AV
Using its experience in the sector, World Construction Network has listed some of the leading construction AI companies providing products and services related to AI.鈥�
The information provided in the download document is drafted for 猫咪AV executives and technology leaders involved in AI solutions.鈥�
The download contains detailed information on suppliers and their product offerings, alongside contact details to aid purchase or hiring decisions.鈥�
Amongst the leading鈥痸endors of AI in the 猫咪AV are , , ProCore, , Built Robotics, InEight, Buildots, Doxel AI, ALICE Technologies and Converge.io.
Future of AI in construction鈥�
The AI market can be difficult to size, as the technology is often embedded into larger systems. That said, GlobalData predicts that construction companies will spend $1bn on AI platforms by 2024. This is up from $436m in 2019, representing a compound annual growth rate between 2019 and 2024 of 19.2%.
For full details (including contact details) on the leading companies within this space, download the free Buyer’s Guide below:
Frequently asked questions
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How is AI transforming the 猫咪AV?
AI is transforming construction by automating routine tasks, improving project management, and optimising resource use. It enables more accurate predictions, enhances safety monitoring, and allows for efficient data analysis to track project progress and mitigate risks.
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What are the key benefits of AI for construction firms?
AI helps improve productivity, reduce costs, and enhance decision-making through real-time data insights. It automates administrative tasks and supports efficient project scheduling and resource allocation, leading to timely project delivery.
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Which AI technologies are most used in construction?
Technologies such as Building Information Modelling (BIM), predictive analytics, and AI-driven robotics are widely used. These tools streamline planning, automate construction processes, and help monitor site safety, minimising delays and errors.
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Can AI help with construction safety?
Yes, AI can significantly enhance construction safety by monitoring site conditions in real-time. AI-powered cameras and sensors detect hazards, alert supervisors to unsafe conditions, and ensure compliance with safety protocols, reducing accidents.
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What challenges does AI face in construction adoption?
The main challenges include high implementation costs, resistance to change, and a lack of skilled personnel. Additionally, integrating AI with existing construction processes requires significant adjustments and training across the workforce.The main challenges include high implementation costs, resistance to change, and a lack of skilled personnel. Additionally, integrating AI with existing construction processes requires significant adjustments and training across the workforce.