Dublin, September 12, 2025
News Summary
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.
AI in Construction Market Set to Surge to $12.1 Billion by 2030; Power, Data Center Demand Rise in Tandem
A Dublin-based market research firm added a new strategic report on artificial intelligence in construction on Sept. 12, 2025, estimating the global AI-in-construction market at US$2.4 billion in 2024 and projecting growth to US$12.1 billion by 2030 at a compound annual growth rate of 31.0% from 2024 to 2030. The report delivers an in-depth look at trends, drivers and forecasts to help firms make informed business decisions.
Key market numbers and report scope
The report profiles market overview, trends and drivers, and focuses on selected players. It includes key insights, the study scope, and topics such as adoption trends, technology integration and industry challenges. The research features a sampling of the industry landscape by highlighting some of the 251 companies included in the study. A link to the report information is provided by the firm for further details.
How AI is reshaping construction now
AI is described in the report as changing how construction projects are planned, executed and maintained. Primary uses include streamlining project management, automating repetitive tasks and boosting on-site safety. AI algorithms are used for project planning and scheduling by analyzing historical project data to create realistic timelines, spot potential delays and improve resource allocation and cost control.
Main growth drivers
The report lists several forces pushing AI adoption in construction:
- Advances in digital technology that expand capabilities and lower entry barriers.
- Demand for efficiency and sustainability, including tools that recommend lower-carbon materials and optimize energy use.
- Evolving regulations around safety and environmental performance that favor proactive, data-driven solutions.
- Cloud and edge computing, enabling real-time on-site analysis without heavy local infrastructure.
- Labor shortages and rising wages, encouraging robotics and automation to take on repetitive and labor-intensive tasks.
Safety, design and automation examples
AI use cases in safety include computer vision for hazard detection, automated PPE checks, behavior analysis for unsafe movement patterns, predictive analytics using past accident records, and wearables that monitor health indicators like heart rate and fatigue. These tools aim to lower accident rates and create safer job sites.
On design and efficiency, AI-powered generative design helps architects and engineers explore many design options under constraints such as material limits, loads and environmental impact. Environmental simulation tools predict building performance and guide choices toward less carbon-intensive options. In construction operations, AI-driven robotics and autonomous machinery are increasingly used for tasks such as bricklaying, concrete pouring and earth-moving, freeing skilled crews for complex work and accelerating schedules.
Integration with building information modeling enhances coordination through real-time updates and clash detection, helping prevent costly rework and improving collaboration across teams.
Data center demand and electricity pressure
Growth in AI workloads worldwide is tied closely to data center capacity and power availability. Around Dublin, clusters of large data centers are using a substantial share of national electricity supply; in one country example the buildings and their computers consumed about 21% of the nation’s electricity in a recent year, placing unusually high demand on the grid. That rising load has led regulators to halt new connections in some areas until infrastructure can be upgraded, and to urge companies to locate projects outside overloaded zones or to secure their own power supplies.
The same pressures that push data center growth — demand for low-latency connections, proximity to undersea cable nodes and cool climates for server cooling — are colliding with local concerns over emissions, generator pollution and electricity prices. Some fully built data centers remain idle while awaiting grid connections, even when developers hold contracts for renewable energy. At the same time, major cloud and hyperscale operators have announced large multibillion-dollar buildouts in multiple regions, and a steady pipeline of new projects and site acquisitions continues globally.
What this means for construction and energy planners
The combined effect of technological advances, economic pressures and tighter regulations is pushing AI into mainstream construction practice. As adoption grows, construction projects will increasingly rely on AI tools for safer, faster and more sustainable outcomes. However, the AI boom also raises infrastructure questions: expanded AI compute needs translate into more data center power demand, creating a feedback loop that affects permitting, grid planning and local communities.
Where to find the report
The report entry page is available through the research provider’s site for organizations seeking the full dataset, methodology and company listings.
Frequently Asked Questions
What is the current size of the global AI-in-construction market?
The market was estimated at US$2.4 billion in 2024.
How large will the market be by 2030?
It is projected to reach US$12.1 billion by 2030, growing at about 31.0% CAGR from 2024 to 2030.
What are the primary uses of AI in construction?
Key uses include project management automation, scheduling and planning, repetitive task automation, safety monitoring, generative design and BIM integration.
How does AI improve on-site safety?
AI can detect missing protective equipment via cameras, analyze movement patterns for risky behavior, predict safety risks using historical data, and monitor worker health via wearables to reduce overexertion.
Why are data centers mentioned in this context?
AI workloads require significant data center compute and power. Rapid AI growth is driving large data center investments and putting pressure on local electricity grids in some regions, prompting regulatory and planning responses.
Who can use the report?
The report is intended for business leaders, planners and technology teams seeking market forecasts, trend analysis and vendor information to support investment or strategy decisions.
Key Features at a Glance
| Feature | Detail |
|---|---|
| Market size (2024) | US$2.4 billion (estimated) |
| Market projection (2030) | US$12.1 billion |
| Growth rate | 31.0% CAGR (2024–2030) |
| Primary uses | Project management, task automation, safety, generative design, BIM integration |
| Major drivers | Digital tech advances, efficiency and sustainability demand, regulation, cloud/edge computing, labor pressures |
| Safety tools | Computer vision, wearables, predictive analytics, behavior analysis, PPE detection |
| Report contents | Market overview, trends & drivers, focus on select players, key insights, study scope |
| Companies featured | Some of 251 firms included in the report |
| Report link | Report information page |
Deeper Dive: News & Info About This Topic
Additional Resources
- ResearchAndMarkets / BusinessWire: Artificial Intelligence (AI) in Construction Global Report 2024
- Wikipedia: Artificial intelligence in construction
- GlobeNewswire: AI in Construction — Strategic Intelligence Report 2025
- Google Search: AI in construction market 2025
- AP News: AI data centers in Ireland
- Encyclopedia Britannica: Data center (search)
- Aon Insights: The AI data-center boom — strategies for sustainable growth & risk management
- Google Scholar: data center sustainability
- DataCenterKnowledge: New data-center developments — January 2025
- Google News: data center construction 2025
Author: Construction FL News
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