Semi-autonomous truck are operated in the longer distance with the less human effort. A semi-autonomous truck can control all the safety functions on its own, senses and driving condition of surrounding. It allows the driver to regain controls providing sufficient transition time. Semi-autonomous truck can help reduce traffic congestion, leading to efficient delivery of goods and services. This factor is expected to further boost the semi-autonomous truck market. Semi-autonomous trucks enhance fuel efficiency, as they can accelerate or decelerate more effectively than a human driver. They also aid in the reduction of carbon monoxide emissions, which is expected to propel the semi-autonomous truck market. Human errors in driving can be minimized by providing driving assistance, or if the vehicle can be transformed into a self-driven one, wherein autonomous driving technology can help reduce errors made by drivers. The sensor technology in autonomous driving plays a crucial role, as it can scan the surrounding environment more efficiently than human senses, distance vision ahead, detect small obstacles, and maneuver traffic effectively. Furthermore, in human-driven vehicles, the driver is not aware of the amount of fuel consumed during over-speeding or braking of the vehicle. This can lead to additional consumption of fuel, which can slowly affect the engine cylinder and piston. This can be overcome in autonomous vehicles. Automated driving monitors the vehicle’s heart in order to keep the condition of the vehicle at optimal level while on the move.
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The global semi-autonomous truck market can be segmented based on truck class, technology, component, level of automation, powertrain, and region. In terms of truck class, the semi-autonomous truck market can be classified into class one truck and seven more segments. Rise in demand for intercity and intra-city daily product transportation is anticipated to boost the demand for class one truck. This, in turn, is expected to propel the semiautonomous truck market during the forecast period. Based on technology, the semi-autonomous truck market can be divided into adaptive front-lighting and six more segments. Demand for adaptive front-lighting in the global market has been rising significantly. This is expected to propel the adaptive front-lighting segment of the semi-autonomous truck market during the forecast period. In terms of components, the semi-autonomous truck market can be segmented into RADAR system and five more component segments.
Stringent policies and protocols regarding vehicles and driving, environmental regulations, and favorable initiatives in the field of radar systems have promoted the development of vehicle safety systems, and are thereby expected to drive the adoption of radar-based safety systems during the forecast period. Furthermore, decline in prices of automotive body electronics system and advancement in automotive technology are anticipated to support the usage of automotive radar. Implementation of automotive technology in vehicles enables accurate detection of objects and thus, ensures enhanced safety. Based on level of automation, the semi-autonomous truck market can be split into level and four other segments. In terms of powertrain, the semi-autonomous truck market can be classified into conventional commercial vehicle, hybrid commercial vehicle, and electric commercial vehicle.
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