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The use of IoT technology and smart sensors is becoming more prevalent in structural health monitoring systems. These advancements enable real-time data collection and monitoring, improving the accuracy and efficiency of structural assessments. The application of advanced data analytics, Machine Learning (ML), and AI is transforming the structural health monitoring industry. These technologies enhance predictive analytics for improved estimation of structural issues, optimized maintenance schedules, and extended structure lifespan.
The concept of digital twins or virtual replicas of physical structures is gaining traction. Digital twins allow for continuous monitoring and simulation of structural performance, providing valuable insights for maintenance and decision-making. The market is expanding in emerging economies due to rapid urbanization and infrastructure development. Governments and private sectors in these regions are investing in structural health monitoring technologies to ensure the safety and durability of new constructions.