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 of Dublin announced on Sept. 12, 2025 that it has added a detailed market study titled Artificial Intelligence (AI) in Construction – Global Strategic Business Report to its offerings. The release highlights a recent market estimate and long-term forecast and lays out the forces pushing construction firms to adopt AI tools, from design and scheduling to safety and on-site automation.
The report states the global market for AI in construction was estimated at US$2.4 billion in 2024 and is projected to reach US$12.1 billion by 2030, growing at a compound annual growth rate of 31.0% from 2024 to 2030. An alternate paragraph in the release presents a slightly different base-year figure, noting an estimate of US$1.8 billion in 2023 while keeping the same 2030 target and 31.0% CAGR across 2023–2030.
The study provides an in-depth analysis of market trends, drivers, forecasts and a focus on selected players. It includes sections labeled Key Insights, Scope of the Study, Market Overview, Market Trends & Drivers, Key Attributes, Key Topics Covered and Focus on Select Players. The report lists some of the 251 companies that are included across its coverage and offers links for more information.
Report access links referenced in the release include: https://www.researchandmarkets.com/r/i6kfd4 and https://www.researchandmarkets.com/r/rn3ke0. Press contact details in the release list an email and phone numbers for different office hours.
The report frames AI as transforming construction through advanced automation, predictive analytics and precision management. Primary uses called out include streamlining project management, automating repetitive tasks and enhancing on-site safety. Practical applications include AI algorithms that analyze historical project data to build realistic schedules, anticipate delays and improve resource allocation and cost control.
AI is described as improving jobsite safety via computer vision and real-time data analytics that monitor activity, detect missing personal protective equipment and identify unsafe movement patterns or machines operating too close to workers. Wearable devices with AI can track health indicators such as heart rate and fatigue to reduce overexertion risk. Predictive analytics can combine accident histories and environmental data to flag risks before they lead to incidents.
Design and efficiency gains include AI-powered generative design to explore many design permutations against material, structural and environmental constraints, and simulation tools to assess building performance and recommend lower-carbon materials. Integration with Building Information Modeling (BIM) is central to reducing clashes, preventing rework and ensuring real-time coordination.
The study points to AI-driven robotics and autonomous machinery for repetitive tasks such as bricklaying, concrete pouring and earth-moving. These technologies are cited as ways to accelerate timelines, address labor shortages and reduce labor costs. The release also notes that rapid digital advances, wider cloud and edge computing adoption and falling tool costs are making AI technologies more accessible to companies of all sizes.
Major drivers identified are technological advances; a push for efficiency and sustainability; changing industry regulations; labor shortages and rising labor costs; and growing emphasis on safety. Sustainability features highlighted include AI tools for energy-efficient material recommendations and predictive maintenance of building systems. Regulatory pressure and heightened safety standards are motivating proactive monitoring and compliance technologies.
Separately, the release materials compile wider industry developments that show demand for compute and construction tied to AI remains strong worldwide. A concentration of large data centers near a European capital has raised grid and environmental concerns after those facilities came to consume a significant share of national electricity use. Authorities in that country imposed a pause on new data center connections near the capital through 2028 because of grid stability worries. The materials note that some hyperscale and cloud providers have large ongoing global buildouts and that many data center projects, new energy partnerships and major investments have been announced across multiple regions, often paired with renewable power plans or new energy procurement strategies.
The combined message is that technological, economic and regulatory forces are pushing AI integration into construction projects and associated infrastructure. For builders and owners, the report positions AI as an essential tool for modernizing workflows, improving safety and meeting sustainability targets, while the broader data center and power trends underscore the need to plan for energy, permitting and community impacts.
The release also mentioned other market reports newly added to the offering, including studies on oncology biosimilars and fetal and neonatal care equipment. Listed press contact information includes a senior press manager email and multiple office phone numbers for different time zones.
A: The report projects the market will reach US$12.1 billion by 2030, with a stated CAGR of 31.0% from the base year presented in the release.
A: One paragraph lists US$2.4 billion for 2024. An alternate paragraph in the same release lists US$1.8 billion for 2023 while keeping the same 2030 projection.
A: Primary uses include project management automation, repetitive task automation, on-site safety monitoring, predictive scheduling, generative design and BIM integration.
A: Safety improvements include computer-vision monitoring for PPE detection, behavior analysis to spot unsafe movements, predictive risk modeling, and wearable monitoring for worker health and fatigue.
A: Drivers include digital technology advances, cost declines and greater accessibility, cloud and edge computing, labor shortages and rising wages, sustainability goals, and tighter health and safety regulations.
A: Yes—large-scale AI compute demand and related data center expansion are creating power and permitting challenges in some regions, prompting moratoriums, relocation efforts and closer planning for renewable or dedicated power supply.
| Feature | What it means | Examples / Notes |
|---|---|---|
| Market size & forecast | Current estimate and long-term projection | US$2.4B (2024) or US$1.8B (2023) base; US$12.1B by 2030 |
| CAGR | Annualized growth rate used in forecast | 31.0% per year (stated) |
| Primary uses | Where AI is applied on projects | Project scheduling, automation, safety, generative design, BIM |
| Safety features | AI tools that reduce jobsite risk | PPE detection, behavior analysis, predictive safety analytics, wearables |
| Growth drivers | Reasons for faster adoption | Tech advances, cloud/edge, cost drops, labor shortages, regulation, sustainability |
| Data center context | Power and infrastructure effects of AI buildout | Regional grid pressure, moratoriums, renewable procurement and siting choices |
Report added by ResearchAndMarkets on Sept. 12, 2025. Contact information and direct links were provided in the release for those seeking the full report and company press contacts.
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