ABSTRACT
The construction industry suffers from productivity stagnation and slow digitalization. Its digital landscape is characterized by substantial data heterogeneity and project-specific data silos. To address these challenges, a growing number of tech-companies are developing applications based on Artificial Intelligence (AI). AI can analyze complex data, automate tasks and support decision making. This study aims to identify gaps and opportunities in the industry's adoption of this technology. A set of 16 variables was used to characterize 236 tech-companies offering AI solutions for Architecture, Engineering and Construction (AEC). Their potential impact was measured through their number of social networks’ followers and latest annual revenue. Several statistical analyses were used to determine company and software characteristics that influenced adoption. The results showed dependency between technology penetration and aspects such as companies’ location, lifetime, size, business model and type of technology. Similarly, the data show undiscovered subjects, which may represent new potential for innovation.
