Report ID: SQMIG25C2124
Report ID:
SQMIG25C2124 |
Region:
Global |
Published Date: February, 2024
Pages:
223
|
Tables:
64 |
Figures:
75
Automotive Weigh In Motion Market size was valued at USD 2.83 billion in 2022 and is poised to grow from USD 3.03 billion in 2023 to USD 5.29 billion by 2031, at a CAGR of 7.20% during the forecast period (2024-2031).
The rapidly expanding logistics and transportation industries are projected to primarily augment the demand for automotive weigh in motion over the coming years. Surging demand for innovative solutions for weighing vehicles to ensure compliance with road safety norms is projected to boost automotive weigh in motion system sales going forward. Weigh-in-motion systems allow authorities to check the weight of a vehicle even in motion to avoid stopping and improve the efficiency of this process.
Rising focus on the enforcement of proper weight regulation enforcement to avoid accidents and improve road safety of commercial vehicles is estimated to favor automotive weigh in motion market growth. High incidence of overloaded trucks causing accidents and road damage has led to increased demand for better enforcement of weight management norms.
Weigh-in-motion systems reduce the traffic congestion caused by stationary weighing checkpoints and the growing traffic load on highways is pushing the demand for automotive weigh in motion. Reduced delays of cargo are also an added benefit that promotes the deployment of automotive weigh in motion systems. Growing integration of advanced analytics technologies and advanced weighing sensors is resulting in the creation of more accurate and precise automotive weigh in motion solutions. The rising focus on sustainability has resulted in high demand for the reduction of vehicle emissions, which is also slated to impact automotive weigh in motion market growth.
High focus on infrastructure preservation, road safety, emission reduction, and efficient traffic management, the automotive weigh-in-motion market is expected to continue its growth trajectory across the forecast period.
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Report ID: SQMIG25C2124