For a long time, the construction industry has been seen as a "latecomer" in digital transformation, plagued by issues such as cost overruns, project delays, and labor shortages. However, this situation is being completely overturned. According to

Core Drivers: From "Experience-Driven" to "Data-Driven"
Construction companies are finding breakthroughs throughout the entire project lifecycle by integrating technologies such as machine learning, computer vision, and natural language processing (NLP):
Planning and Design: Software platforms dominate the market due to their scalability. By integrating with building information modeling (BIM) systems like
, AI can optimize budgets and resource allocation before the project starts.Autodesk On-Site Execution and Safety: Computer vision technology is rapidly gaining traction, monitoring potential safety hazards in real-time by analyzing on-site images and detecting deviations between actual progress and design plans.
Asset Management: The combination of digital twin technology and AI provides core support for predictive maintenance of facilities in the later stages.
Market Landscape: North America Leads, Asia-Pacific Grows Fastest
From a global perspective, North America currently leads due to its mature digital ecosystem and venture capital support. However, Asia-Pacific (China, India, Japan) is becoming the fastest-growing region globally, benefiting from large-scale urbanization and government investment in smart infrastructure.
Challenges and Opportunities Coexist
Although the prospects are promising, the industry still faces high initial implementation costs, fragmented unstructured data, and resistance to change within traditional enterprises. However, as cloud computing lowers the entry barrier, and tech giants such as


