Building Tomorrow: AI in Construction Theme Analysis Unveils Innovation Trends

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The construction industry has been slower than other sectors to implement AI as it is a difficult industry to digitalize. The vast and complex data sets needed for building information management (BIM) have been historically difficult to process. However, AI adoption in the construction in

The Artificial Intelligence (AI) in Construction thematic intelligence report assesses how AI, combined with other emerging technologies, can be used across the construction value chain. It provides an overview of the current landscape, as well as key players, while also highlighting opportunities for the use of AIs in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys.

AI Value Chain Analysis

For more insights into the AI value chain, download a free report sample

AI in Construction - Value Chain Analysis

The AI value chain is split into five segments which are hardware, data management, foundational AI, advanced AI capabilities, and delivery.

Hardware: The hardware value chain can be further divided into semiconductors, cameras, sensors and lasers, and servers, among others. The AI hardware stack is not too dissimilar from any IT system, although parts such as semiconductors, cameras, sensors, and edge equipment are very AI-specific. On the other hand, servers, storage, and networking equipment are standard and not designed specifically for AI use cases.

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