Growing adoption of smart transportation technology to provide safe and smooth freight across cities will drive automotive weigh in motion market outlook. Rising spending on weigh in motion (WIM) systems across emerging economies to manage traffic congestion issues may favor business growth.
Government are making sizable investments in intelligent transport systems which may influence product demand in the coming years. Estimates suggests that automotive weigh in motion market size might exceed USD 2.98 billion by 2026.
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How will increasing government spending stimulate automotive WIM industry share?
Governments across the globe are encouraging the adoption of smart transportation systems which has led to the deployment of automotive weigh in motion systems. South Korean government have devised plans to invest around USD 3.2 billion until 2020 as a part of the country’s intelligent transport system strategy.
Authorized organizations across the U.S. are also robustly endorsing the adoption of intelligent transport systems in the country in a bid to enhance vehicle mobility as well as public safety. The transportation sector may although witness a downfall in the current year due to COVID-19 impact, which may in turn hamper automotive WIM market growth.
Why are high speed WIM systems recording high demand?
High speed WIM systems are experiencing high demand on account of their offered benefits over low speed WIM system. High speed WIM provide accurate monitoring as well as measurement of data without affecting the traffic flow, which aids in avoiding any traffic congestion.
The technology is in operation across several middle east countries including South Africa, Saudi Arabia and others. With growing product significance, the segment is anticipated to exhibit a growth rate of 7.3% over the analysis period.
What are the key factors propelling the adoption rate of bridge WIM technology?
Bridge WIM is a unique dynamic weighing technology that has sensors attached at the soffit of bridges. In these systems, the sensors measure strains in bridge bending caused by passage of heavy vehicle from the bridge.
Alongside the data measured by other Automotive Weigh In Motion Market, bridge WIM also provide additional information regarding bridge behavior which proves valuable for bridge safety assessment. As per an estimates, the bridge WIM segment is projected to record 10% market share through 2026.
How will single load cell sensors demand foster Automotive Weigh In Motion Market size?
Among all types of sensors, single load cell is considered to be the most accurate and efficient sensor. They offer high accuracy compared to other sensors and provide best results on highways.
With proper installation, maintenance, and calibration, a single load cell sensor can last up to twelve years. High accuracy and better product life is expected to resulting in higher product demand.
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How will North America automotive weigh in motion market fare through 2026?
In 2019, North America held for around 28% of the global automotive weigh in motion market share. High regional demand is a result of strict regulations regarding overloading vehicles and traffic safety.
However, both Canada and the U.S. have been witnessing a significant drop in commercial transportation activity due to the COVID-19 outbreak, which may affect industry growth for a while. The COVID-19 impact in the U.S. is relatively severe as commercial activity is 63% less than usual transportation activity.
Table of Contents (ToC) of the report:
Chapter 1. Methodology and Scope
1.2. Market definition
1.3. Market estimation & forecast parameters
1.3.1. COVID-19 impact calculations on industry forecast
1.4. Data sources
Chapter 2. Executive Summary
2.1. Automotive weigh in motion industry 360° synopsis, 2016 – 2026
2.1.1. Business trends
2.1.2. Sensor trends
2.1.3. Installation type trends
2.1.4. Application trends
2.1.5. Speed trends
2.1.6. Regional trends
Chapter 3. Automotive Weigh in Motion Industry Insights
3.1. Industry segmentation
3.2. Industry size and forecast, 2016 – 2026
3.2.1. COVID-19 impact on industry landscape
3.3. Industry ecosystem analysis
3.3.1. Profit margin
3.3.2. Value addition
3.3.3. Distribution channel analysis
3.3.4. Value chain disruption analysis
3.3.5. Vendor matrix
18.104.22.168. List of key raw material suppliers
22.214.171.124. List of key manufacturers/distributors
126.96.36.199. List of key/potential customers
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