AI-powered construction site featuring generative design overlays and a nearby data center illustrating compute and power demand.
Dublin, September 12, 2025
A Dublin-based market report finds the global AI-in-construction market currently valued at about US$2.4 billion and forecast to expand sharply to US$12.1 billion by the end of the decade at a strong CAGR. The study examines adoption trends, technology integration and profiles a broad set of industry players. AI applications span project planning, scheduling, safety monitoring with computer vision and wearables, generative design and BIM integration, plus robotics for repetitive tasks. The report also highlights how rising AI compute demand is increasing data center power needs and creating local grid and permitting challenges for planners and developers.
ResearchAndMarkets has added the report Artificial Intelligence (AI) in Construction – Global Strategic Business Report to its catalog, offering an in-depth look at how AI is reshaping building projects and construction operations worldwide. The report estimates the global AI-in-construction market at US$2.4 billion in 2024 and projects it will reach US$12.1 billion by 2030, growing at a compound annual growth rate of 31.0% from 2024 to 2030. An alternate version of the release lists a 2023 estimate of US$1.8 billion with the same 2030 projection and CAGR from 2023 to 2030.
The study is designed to help business leaders make informed decisions by tracking market trends, drivers, and forecasts. It highlights AI applications that are already changing work on construction sites, including advanced automation, predictive analytics, and precision project management. Primary uses described include streamlining project management, automating repetitive tasks, and enhancing on-site safety.
AI algorithms are increasingly used for project planning and scheduling, analyzing historical project data to build realistic timelines, anticipate delays, and improve resource allocation and cost control. AI tools also support generative design, helping architects and engineers explore many design options that meet constraints such as materials, loads and environmental impact, and produce optimized, more material-efficient solutions.
AI improves safety through computer vision and real-time analytics that monitor on-site activities, spot hazards, and enforce safety rules automatically. Typical examples include systems that detect missing personal protective equipment, analyze movement patterns for unsafe behavior, run predictive analytics on accident risk using historical data and environmental inputs, and use wearables to track worker health indicators like fatigue. AI-driven robotics and autonomous machines are being deployed for repetitive tasks such as bricklaying, concrete pouring and earth-moving, which accelerates timelines and helps address labor shortages. Integration of AI with Building Information Modeling, or BIM, enables real-time updates and clash detection that prevent costly rework and improve team coordination.
The report lists sections such as Key Insights, Market Overview, Market Trends & Drivers, and Focus on Select Players, and it includes profiles for some of the 251 companies featured in the market study. Buyers can find more information at the report link provided by the publisher. A press contact is listed as a senior press manager with an email and several phone numbers for different time zones.
At the same time that construction firms adopt AI, data center growth to support AI workloads is placing heavy demands on power systems in several regions. On the outskirts of Dublin, a cluster of large data centers now uses more electricity than all urban homes in the country combined, consuming roughly 21% of national electricity last year. Grid operators have responded by halting approvals for new data centers near the capital until 2028 to reduce the risk of rolling blackouts and limit further strain on the network.
Major global cloud and social companies have established or planned facilities in the area to take advantage of factors such as tax incentives, a skilled workforce and undersea cable connections. Local clusters like Grange Castle Business Park host a mix of established facilities and projects waiting for grid connections. Some operators have completed buildings that remain idle while they await permission to connect to power. Policymakers have urged companies to site projects outside the capital and to explore ways to supply their own power, as further expansion could threaten national emissions goals and stability of the electricity system.
Developers are exploring former boglands in central regions to host new data centers and associated renewable generation. State-owned land managers and renewable developers are moving toward projects that combine wind or solar with data center campuses. These moves face both local opposition over heritage and ecology and local support from residents who expect jobs and new incomes. National politics and incoming government decisions are expected to influence whether limits on growth are eased or kept in place.
Industry activity shows large-scale investments and new projects across multiple countries. Major cloud providers and technology firms have planned or announced multi-billion dollar buildouts and new mega campuses. Some companies are pairing data center campuses with large renewable energy projects or signing long-term energy supply deals. Other initiatives include regional AI compute hubs, new hyperscale cloud regions, and financing deals to accelerate data center footprints in Asia, Europe and North America. These investments underline a broader market trend: demand for AI compute and the physical infrastructure that supports it is driving construction and energy planning globally.
Rising adoption of AI in construction and accelerated demand for data center capacity are linked by shared drivers: the need for faster compute, real-time data analysis on-site, and long-term efficiency and sustainability goals. The report addition on AI in construction arrives as the industry balances opportunities from smarter, safer and more efficient building methods with the energy and planning impacts of expanded AI infrastructure.
The publisher’s release includes a direct link to the report and lists related attachments added to its offering. A press contact and phone numbers for different office hours are provided in the release.
The report estimates the market at US$2.4 billion in 2024 and projects growth to US$12.1 billion by 2030, with a CAGR of 31.0% from 2024 to 2030. An alternate release lists a 2023 estimate of US$1.8 billion with the same projection to 2030.
AI is mainly used for project planning and scheduling, automating repetitive tasks, on-site safety monitoring, generative design, predictive maintenance and BIM integration for better collaboration and clash detection.
AI can monitor compliance with safety gear, analyze worker movement to spot risky behavior, run predictive risk models using historical accident and environmental data, and use wearable sensors to detect signs of fatigue or health issues.
Key drivers include advances in digital tech, cloud and edge computing, the push for efficiency and sustainability, tighter regulations on safety and emissions, falling tool costs, and labor shortages.
AI models and on-site compute needs rely on data center capacity. Rapid data center growth increases demand for electricity and may affect where compute is located, energy sourcing choices, and regional infrastructure planning.
A senior press manager is listed as the contact, with an email address and phone numbers for different time zones provided in the release.
| Feature | Details |
|---|---|
| Report title | Artificial Intelligence (AI) in Construction – Global Strategic Business Report |
| Publisher / source | ResearchAndMarkets release listing and report link |
| Market size (reported) | US$2.4 billion (2024 estimate); alternate paragraph lists US$1.8 billion (2023) |
| Market projection | US$12.1 billion by 2030 |
| CAGR | 31.0% (2024–2030 as stated) |
| Primary AI uses | Project management, automation, safety monitoring, generative design, predictive maintenance, BIM integration |
| Number of companies featured | Some of 251 companies profiled |
| Energy and infrastructure note | Data center growth is stressing grids in regions like the Dublin area; authorities have paused new connections near the capital until 2028 |
| Report link | Publisher report link |
Press contact listed in the release: senior press manager email and phone numbers for U.S./CAN toll free, E.S.T. office hours and GMT office hours.
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