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Archive for the ‘Industry Predictions’ Category

AEC Industry Predictions for 2025 — Linarc

Wednesday, January 15th, 2025

By, Shanthi Rajan, CEO, at Linarc 

Shanthi Rajan

Construction Industry 2025: Predictions in Tech, Labor, Materials, and Sustainability

The construction industry in 2025 is poised for transformative change as technology, labor challenges, material innovations, and sustainability take center stage. These drivers are shaping a future that demands agility, innovation, and resilience.

Here’s a closer look at what lies ahead.

Technology: AI and Automation Lead the Charge

Technology will remain a defining force, with Artificial Intelligence (AI) and automation continuing to revolutionize how construction projects are planned and executed.

AI-Integrated Technology

AI is revolutionizing the construction industry’s design, estimation, budgeting, and project management. From predictive analytics to generating advanced reports, AI-enabled automation empowers project managers to anticipate delays, identify budget overruns, and make real-time schedule adjustments. Enhanced camera and image analysis technologies improve site safety by predicting hazards with remarkable accuracy. AI-driven scheduling tools continue to optimize timelines by leveraging real-time data, reducing project durations and costs. Moreover, advancements in AI clash detection and resource allocation are helping teams prevent conflicts and allocate resources more efficiently, driving productivity and minimizing waste.

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AEC Industry Predictions for 2025 — Leica Geosystems

Monday, January 6th, 2025

By Jesús Bonet, director of sales and business development, Leica Geosystems (part of Hexagon).

Jesús Bonet

2025 construction surveying technology trends – Leica Geosystems

In your opinion, what are the three most important trends in the field of surveying technology in construction?

The rise of cloud computing, driven by the need for centralised data, has enabled surveyors and construction professionals to capture data in the field, then upload it to the cloud in real-time. This avoids users having to copy files, stops stakeholders working on multiple different datasets, and mitigates the cost and risk of owning servers.

Another trend is mobile scanning – devices that capture data on the move with the click of a button. Static laser scanners, on the other hand, take longer to set up and require more training to operate. Mobile scanners give greater flexibility and speed during data capture, while also being highly accurate – perfect for daily construction progress monitoring, for example.

Last, it’s difficult to talk about trends without mentioning artificial intelligence (AI). AI has enhanced surveying technology by streamlining the process between capturing data and generating meaningful insights. For example, AI in 3D laser scanners can automatically classify objects in buildings like walls, floors, and furniture – avoiding time-consuming manual data processing. Mobile mapping devices attached to cars integrate AI which automatically blurs faces and vehicle license plates, anonymising the data at the point of creation.

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AEC Industry Predictions for 2025 — vGIS

Wednesday, December 18th, 2024

By Alec Pestov Founder, vGIS

Alec Pestov

Predictions for the 2025 AEC Sector

In 2025, the architecture, engineering, and construction (AEC) sector will continue to evolve—not through sudden disruption but through the steady refinement of specialized tools. These advancements won’t replace the tried-and-true methods but will work alongside them, enhancing efficiency and streamlining processes. Real progress comes not from adopting tools for the sake of innovation but from rethinking how we use them to tackle longstanding challenges.

Here’s what we expect in the year ahead.

Custom AI: Practical Applications, Real Results

AI has steadily made its way into construction workflows, addressing specific challenges with focused tools. From automating permit submissions to tracking tasks and verifying data quality, these purpose-built AI solutions simplify processes and provide users with immediate insights.

What’s changing now is the emergence of comprehensive platforms that combine multiple AI functions. These platforms have the potential to unify fragmented tools, making it easier to connect workflows and create broader efficiencies across projects. The cumulative effect is already evident: repetitive tasks are automated, human error is reduced, and professionals are freed to focus on solving more complex problems.

In 2025, we anticipate more examples of AI and machine learning showcasing their value in real-world applications. Tools like vGIS’s trenching solutions will demonstrate how AI can solve specific challenges while delivering measurable results. The goal isn’t about sweeping changes but about practical improvements that make daily operations smoother and more efficient.

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