Artificial intelligence (AI) in the construction industry is driving a digital transformation: forecasts show that the value of the AI products market in construction will grow from 3.21 billion USD in 2023 to 9.53 billion USD by 2028. And AI is already being used — and will continue to be used — at all stages of construction: from design, pre‑construction, construction and operations to asset management.
“Looking at it in very broad terms, the majority of today’s AI tools are essentially designed for data analysis and processing. And in a modern construction company, this is one of the most important criteria for success. Only by relying on data can we prepare the best projects, anticipate problems and avoid risks. However, in order to use AI tools in our operations, we must have properly digitalized data so that AI can analyze it and provide the necessary insights. This is already happening globally; in Lithuania we still have room to grow, but I believe we are moving in the right direction, and when AI becomes sufficiently advanced for the construction sector, we will be ready to fully employ it,” says Šarūnas Grigaitis, Director of Gilesta Group.
So where is AI already being used in construction, and where is it expected to be used?
Optimization of future projects
Several companies are already using accumulated model and structural data to optimize conceptual models for upcoming projects. AI methods use existing data to predict the optimal performance of different design options. This gives designers the ability to optimize materials, structures, installations and to control their quality.
Predicting problems
AI algorithms can analyze large amounts of data collected from sensors, IoT devices and historical project records to perform analysis and forecast potential issues. This enables construction companies to take proactive measures before a problem arises that could stop the work.
3D imaging
Construction companies can use AI‑powered robots equipped with cameras to capture 3D images of construction sites. Using neural networks, these images can be cross‑checked against theoretical project plans and budgets, allowing real‑time monitoring to ensure that the work does not deviate from the initial plans.
Workforce allocation
AI‑powered robots enable project managers to monitor conditions and resource needs at multiple job sites in real time. Based on requirements, work can be shifted to different parts of the project or even to other locations. For example, the AI‑driven robot “Spot the Dog” scans construction sites every evening to track progress. This helps contractors increase productivity, especially in remote areas with limited access to skilled labour.
Internet of Things in construction
Construction companies use Internet of Things (IoT) technology to manage equipment and vehicle fleets and to determine optimal routes for suppliers and trucks. Using AI‑based metrics, IoT enables real‑time location tracking, predictive maintenance, fuel and battery monitoring, and more. By integrating IoT devices, companies can effectively predict equipment failures and address issues early, saving significant time and costs.