The Rise of Autonomous Trucks: Revolutionizing the Logistics Industry
Market Research Future Insights
According to MRFR analysis, the global Autonomous
Trucks Market is expected to register a CAGR of ~
15.6% from 2022 to 2030 and hold a value of over USD 460 million by 2030.
The autonomous trucks market aids in
fulfilling the needs related to electrically used vehicles. These vehicles make
use of different kinds of techniques that benefit in enabling them to
understand the surroundings, as well as, conduct the navigation process that is
connected to any kind of human input. Autonomous trucks majorly draw their requirement
on satellites, ground sensors, also, guided systems. The systems function to
recognize the obstacles, along with the relevant signage to push for proper
navigation of the truck locations and falling any chances of damage.
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Due to a variety of factors like an
upsurge in the number of road accidents, lack in the number of drivers,
shifting government regulations guarding the safety measures, efficient
features in different truck models, as well as, the key market players eyeing
on elaborating their services in the form of decline the transportation and
delivery costs, are driving the market towards growth on a global scale.
The COVID-19 pandemic
had a relatively slight impact on this automotive industry segment compared to
the whole. The demand for autonomous trucks was slightly delayed owing to the
lockdown and global transportation halt due to the pandemic. However, with
market and trade gradually opening up and the augmented need for automation,
the autonomous truck market is hoping for an economic revival.
Regional
Analysis
Asia Pacific is projected to be the
fastest-growing semi-autonomous as well as Autonomous Trucks Market over the
forecast period. The Asia Pacific region is expected to be a technology
trailblazer. Once a reliable technology is developed, the region will rapidly
adopt it. In addition, Asia is the world’s largest truck producer, accounting
for more than 65 percent of all vehicles formed worldwide. Concerns about road
safety will fuel the expansion of the autonomous truck business in the region.
In addition, because China is the world’s largest mining country, the
deployment of autonomous technology in mining trucks will fuel the Asia Pacific
autonomous truck manufacturing.
Market Segmentation
The Global Autonomous Trucks Market has been segmented into the
level of automation, and sensor type
Based on the Level of Automation, The
Global Autonomous Trucks Market has been segmented into Semi-Autonomous Trucks and Autonomous trucks. This can be further segmented into
different levels. The first step toward automatic driving is level one. This
driver assistance level denotes that the automated assistance system controls
the mainstream of the functions, such as steering, acceleration, and braking.
Furthermore, human drivers are responsible for all lasting components of the
dynamic driving activity, contain monitoring the environment and taking over
the support system as necessary. Furthermore, level one automation includes
vehicle-to-vehicle communication software that allows trucks to survey each
other across short distances of up to 20-50 feet.
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Based on Sensor Type, The Global Autonomous Trucks Market has
been segmented into Camera, LiDAR, Radar, and
Ultrasonic. In terms of volume, the ultrasonic sector is projected to hold the
highest proportion of the semi-autonomous truck market. Ultrasonic has a tiny
field of view and a short range. As a result, semi-autonomous and autonomous
trucks usage a lot of ultrasonic sensors. Ultrasonic sensors are usually
employed for short-range object recognition, which is useful for ADAS parking
features like intelligent park assist. Ultrasonic sensors are less exclusive
than other sensors. LIDARs are presently expensive, and thus are not normally
used in level 1 and level 2 semi-autonomous trucks.
Key Players
Some of the key market players are B Volvo (Sweden), BMW AG
(Germany), General Motor Company (U.S.), Delphi Automotive PLC (Ireland), Ford
Motor Co. (U.S.), Embark Trucks (U.S.), Robert Bosch GmbH (Germany), Volkswagen
AG (Germany), Uber Technologies Inc. (U.S.), Tesla Inc. (U.S.), and Google Inc
(U.S.)
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