Five technology trends for the GCC's construction industry

31 January 2024 Consultancy-me.com 4 min. read

As the construction industry steps into 2024, Hugo Cheuk (COO) and Gary Ng (CEO) from viAct outline five emerging technology trends that they believe are touted to shape the way the built environment is conceived and constructed.

Artificial Intelligence (AI) for Project Planning

In 2024, the integration of Artificial Intelligence (AI) for project planning will emerge as a transformative trend within the construction industry in the GCC. AI is increasingly employed to revolutionize project planning processes, offering unparalleled capabilities in data analysis, pattern recognition, and predictive modeling.

AI algorithms can analyze vast datasets related to project timelines, resource allocation, and historical performance, enabling more accurate forecasting of project milestones and potential risks. This results in optimized scheduling, improved resource utilization, and enhanced decision-making for construction project managers.

Five technology trends for the GCC's construction industry

Pictured: Hugo Cheuk (COO) and Gary Ng (CEO)

Video Analytics for Site Surveillance & Inspection

Leveraging advanced computer vision technologies, the video analytics trend involves the analysis of video footage from construction sites, enabling automated monitoring, anomaly detection, and real-time insights.

Video analytics enhances traditional inspection processes, providing a comprehensive and efficient means of gathering data. This technology trend spans different forms like AI-enabled Project Control Centers (PCC), Smart Site Safety systems (SSSS), or Video Surveillance Systems (VSS).

In construction, video analytics can enhance project oversight and risk management, among others.

Generative AI for Project Collaboration

In the post ChatGPT era, 2024 is touted to witness a spike in the use of Generative AI, including in the construction industry. This innovative technology fosters enhanced project collaboration by dynamically generating real-time solutions for on-site challenges.

Leveraging data from various sources, Generative AI optimizes resource allocation, facilitates seamless communication among project stakeholders, and adapts construction plans to unforeseen circumstances. Its ability to quickly analyze and propose alternatives streamlines decision-making, improving overall project efficiency.

From optimizing workflows to foreseeing potential bottlenecks, Generative AI stands at the forefront of fostering collaboration during the construction phase, paving the way for a more agile and responsive construction industry.

Further reading: AI and Gen AI to boost worker productivity and disrupt industries.

IoT wearables for Smart Risk Management

The use of IoT wearables in the construction realm can revolutionize risk management for EHS teams. These devices, quipped with sensors and connectivity, offer real-time monitoring of workers engaged in tasks like confined space entry and work at height. By collecting and analyzing data on environmental conditions, movement patterns, and vital signs, IoT wearables ensure proactive risk mitigation.

The technology enhances safety protocols in critical construction activities like while working in confined spaces or at heights by providing instant alerts. These alerts act as crucial insights for swift response to potential hazards, fostering a smarter and safer construction environment across the GCC.

Predictive Analytics for Sustainable Lifecycle

The integration of Large Language Models (LLM) is anticipated as another emerging trend in construction technology for 2024. By redefining predictive analytics; decision-making processes would be made more intelligent in a data-driven approach to sustainable construction practices in the large construction landscapes of the GCC, in particular Saudi Arabia.

Leveraging advanced algorithms like Large Language Models, predictive analytics anticipates potential challenges throughout the construction process, optimizing resource utilization and minimizing environmental impact. These models analyze vast datasets, offering insights into material requirements, energy consumption, and equipment maintenance needs.

By predicting and addressing issues proactively, construction projects can enhance efficiency, reduce waste, and align with sustainability goals.