The global automated trucks market was valued at USD 0.83 billion in 2023 and is anticipated to reach at USD 1.02 billion in 2024 from USD 5.19 billion by 2032 and grow at a CAGR of 22.60% from 2024 to 2032.
Automated trucks, also known as self-driving trucks, are one of AI's miracles. These trucks use artificial intelligence (AI) software, Light Detection & Scope (LiDAR), and RADAR sensing technology, which is used to monitor the scope of 60 meters of the vehicle and to create a precise 3D map of the current environment. The car was designed to work between destinations without a human operator. We use sensors and software to track, control, and run the vehicle. Amid a sea full of innovations driving top-of-the-line technology in the automotive industry, automated trucks are overtaking and speeding up to rapid adoption in end-use industries. The trend of electrically driven vehicles has turned the automated truck arena green, making it easier for manufacturers to move past the environmental barriers.
The lack of drivers in developed countries has provided a significant boost to the scramble of various industries towards automated trucks, which are likely to remain key drivers of the automated trucks market. The sharp increase in sales of these trucks needs a thorough assessment to gauge the growth prospects of the overall landscape. The investments of top companies into automation drives are another significant driver of the automated truck market. The environmental concerns are making people move cleaner and methods such as electric vehicles, and many of these vehicles also come with the extension of automation.
Government concerns and restrictions about the loss of jobs in a few places and people's safety concerns are what are hindering the automated truck market. The automated trucks market is a competitive one with many regional players and many other large MCNs. Few of these companies are continually investing in R&D for better and smarter technologies. It is a bit difficult for new companies to join the game for market share.
REPORT METRIC |
DETAILS |
Market Size Available |
2023 to 2032 |
Base Year |
2023 |
Forecast Period |
2024 to 2032 |
CAGR |
22.60% |
Segments Covered |
By end-use industry, level of automation, truck type, and region. |
Various Analyses Covered |
Global, Regional, & Country Level Analysis; Segment-Level Analysis; DROC, PESTLE Analysis; Porter’s Five Forces Analysis; Competitive Landscape; Analyst Overview of Investment Opportunities |
Regions Covered |
North America, Europe, APAC, Latin America, Middle East & Africa |
Market Leaders Profiled |
BMW AG, Otto Motors, Isuzu Motors Limited, General Motors, Daimler AG, AB Volvo, Tesla, Toyota, Waymo, Volkswagen, and Others. |
The growing digital shopping behavior of consumers has increased the appetite for streamlined logistics among fleet management companies seeking reduced operating costs. As such, the logistics industry is at the forefront of the automated truck take-up curve. The mining industry is likely to remain an attractive end-use industry by 2019, as mining companies are deliberating on efforts to improve their production capacity to meet the growing demand for minerals from manufacturing sectors. After 2019, e-commerce platforms are rising rapidly, and their need for logistics is likely to reduce the market share of the mining industry in terms of volume.
Level 3: A driver is still required, but if specific criteria are met, it is not necessary to navigate or monitor the area. Nevertheless, the driver must remain ready to resume control of the vehicle once the conditions for the ADS have ceased to be met.
Level-4: The vehicle can perform all driving functions and does not allow the driver to remain ready for navigation. Moreover, under certain conditions, such as off-road driving or other forms of abnormal or dangerous situations, the accuracy of ADS navigation may be compromised. The driver may be able to control the vehicle.
Level-5: The ADS system is sophisticated enough to allow the vehicle to perform all driving functions, regardless of the conditions.
Level 5 automated trucks remain highly favored in the mining industry as they operate without any driver assistance and operate with the aid of cloud data and artificial intelligence. However, automated Level 3 trucks will exceed the Level 5 acceptance rate of automated vehicles and account for ~40% of the total market share at the end of the forecast period, as they form an integral part of automated trucks. In contrast, the high cost of Level 5 automated trucks would redirect sales to Level 3 trucks.
Geographically, Asia Pacific is likely to remain a key automated truck market, as demand for automated trucks for mining activities has increased in Australia, and improved road infrastructure is likely to bump up their sales to the logistics industry as well. In addition, the lack of drivers in developed regions, such as the United States and Japan, would remain a major opportunity for automated trucks to enter these regions.
Some of the key players dominating the global automated trucks market are BMW AG, Otto Motors, Isuzu Motors Limited, General Motors, Daimler AG, AB Volvo, Tesla, Toyota, Waymo, and Volkswagen.
By End-Use Industry
By the Level of Automation
By Truck Type
By Region
Frequently Asked Questions
As of the latest data, the global automated trucks market is valued at USD 1.02 billion in 2023.
Key contributors to market growth in North America include the United States and Canada, with increased adoption driven by the need for efficient logistics and the automation of freight operations.
Technological advancements in Japan focus on AI-driven navigation systems, advanced sensor technologies, and vehicle-to-everything (V2X) communication, enhancing the capabilities of automated trucks.
In China, the market is adapting to urban mobility challenges by developing automated trucks tailored for last-mile delivery, reducing congestion, and improving delivery speed in urban areas.
Some of the key players dominating the global automated trucks market are, BMW AG, Otto Motors, Isuzu Motors Limited, General Motors, Daimler AG, AB Volvo, Tesla, Toyota, Waymo, Volkswagen.
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