Self-Driving Truck Market Analysis North America, APAC, Europe, South America, Middle East and Africa - US, Canada, China, Japan, India, Germany, South Korea, UK, France, Italy - Size and Forecast 2024-2028

Self-Driving Truck Market Size 2024-2028

The self-driving truck market size is forecast to increase by USD 1.13 billion, at a CAGR of 51.2% between 2023 and 2028.

• The market is experiencing significant growth, driven by the increasing demand for efficient and safe transportation solutions. The market is witnessing key trends such as the integration of advanced technologies like Light Detection And Ranging (LiDAR), radar, and computer vision systems to enhance the autonomous driving capabilities of trucks. However, challenges persist, including the rising incidence of road accidents due to the complexities of autonomous driving in unpredictable environments. Additionally, decongestion of traffic and increasing security concerns are pressing issues, necessitating the development of robust safety features and effective traffic management systems.
• Companies seeking to capitalize on market opportunities must navigate these challenges by investing in research and development, collaborating with industry partners, and adhering to regulatory requirements. By addressing these challenges, self-driving truck manufacturers and operators can unlock significant value in the form of increased productivity, reduced operational costs, and improved safety.

What will be the Size of the Self-Driving Truck Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, driven by advancements in technology and the increasing demand for efficient logistics solutions. Radar sensor technology and deep learning networks are at the core of self-driving trucks, enabling adaptive cruise control and vehicle dynamics control. IMU inertial measurement and hardware acceleration units enhance the trucks' ability to maintain stability and respond to changing road conditions. Moreover, software-defined vehicles integrate emergency braking systems, high definition mapping, collision avoidance systems, and simulation testing environments. Predictive maintenance and data analytics platforms enable proactive fleet management, while route optimization software and real-time localization ensure optimal delivery routes.

One notable example of market growth comes from a leading logistics company, which reported a 25% increase in on-time deliveries after implementing an autonomous driving system with object detection algorithms, GPS navigation, and traffic sign recognition. Industry growth is expected to reach 20% annually, with machine learning models, cybersecurity protocols, cloud computing services, and sensor fusion technology playing crucial roles. Lidar sensor technology and computer vision systems enable accurate path planning algorithms and driver monitoring systems, while edge computing platforms and lane keeping assist systems improve overall safety and efficiency. Obstacle detection systems and collision avoidance systems further enhance the trucks' ability to navigate complex environments.

Cybersecurity protocols and real-time data processing are essential components of the self-driving truck ecosystem, ensuring secure and reliable operations. As the market continues to unfold, the integration of these technologies will lead to more efficient, cost-effective, and sustainable logistics solutions.

How is this Self-Driving Truck Industry segmented?

The self-driving truck industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

• End-user
  • Logistics
  • Construction and manufacturing
  • Mining
  • Port
• Geography
  • North America
    • US
    • Canada
  • Europe
    • France
    • Germany
    • Italy
    • UK
  • APAC
    • China
    • India
    • Japan
    • South Korea
  • Rest of World (ROW)

By End-user Insights

The logistics segment is estimated to witness significant growth during the forecast period.

Self-driving trucks are adopting advanced technologies such as radar sensor technology, deep learning networks, IMU inertial measurement, hardware acceleration units, adaptive cruise control, and vehicle dynamics control to enhance their autonomous driving systems. These systems aim to mitigate the challenges posed by a truck's significant weight and longer stopping distance compared to cars. The National Highway Traffic Safety Administration (NHTSA) reports that 94% of car accidents occur annually due to human error. To address this issue, the focus on self-driving vehicles is intensifying, with the primary objectives being to minimize traffic accidents and fatalities. Self-driving features in trucks can lead to substantial cost savings by eliminating driver and support personnel expenses.

Furthermore, autonomous trucks can benefit from technologies like high definition mapping, collision avoidance systems, simulation testing environments, route optimization software, predictive maintenance, data analytics platforms, and emergency braking systems. The market is expected to grow by over 30% in the coming years, as per industry reports, driven by the increasing demand for improved safety, operational efficiency, and cost savings. One study revealed that self-driving trucks could save up to 30% on fuel costs and reduce CO2 emissions by up to 15%. Computer vision systems, lane keeping assist, obstacle detection systems, edge computing platforms, and sensor fusion technology are other essential components of self-driving trucks.

Cybersecurity protocols and cloud computing services ensure data security and real-time processing capabilities, while machine learning models and object detection algorithms optimize performance and adaptability.

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The Logistics segment was valued at USD 33.40 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 45% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market is experiencing significant growth, with North America leading the way due to infrastructure availability and technological advancements. Key technologies, such as radar sensor technology, deep learning networks, IMU inertial measurement, and hardware acceleration units, are driving the development of adaptive cruise control, vehicle dynamics control, and software-defined vehicles. These innovations are integrated with emergency braking systems, high definition mapping, collision avoidance systems, simulation testing environments, route optimization software, predictive maintenance, data analytics platforms, and autonomous driving systems. Object detection algorithms, GPS navigation systems, traffic sign recognition, lidar sensor technology, machine learning models, cybersecurity protocols, cloud computing services, lane keeping assist, obstacle detection systems, edge computing platforms, computer vision systems, path planning algorithms, driver monitoring systems, fleet management systems, and sensor fusion technology are all crucial components of self-driving trucks.

For instance, Tesla's infrastructure development and electrification of vehicles have significantly contributed to the growth of the North American market. According to recent industry reports, the market is expected to reach a value of over 50 billion US dollars by 2027, representing a substantial expansion. The integration of AI, automation, IoT, and x-by-wire technology into electric vehicles is further propelling the market's growth. Companies in North America are at the forefront of this technological revolution, offering cutting-edge self-driving truck solutions.

Market Dynamics

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

What are the key market drivers leading to the rise in the adoption of Self-Driving Truck Industry?

• The rising number of road accidents serves as the primary catalyst for market growth in this industry.

• The market is experiencing significant growth due to the increasing number of road accidents worldwide. According to the National Highway Transportation Safety Administration, there were 20,160 individuals killed or injured in traffic crashes in the US alone in 2021, marking an unfortunate 18.4% increase from the previous year. This trend is driving the demand for self-driving trucks, which offer features such as adherence to speed restrictions, constant speed regulation, and automated steering.
• These capabilities have the potential to reduce the number of road accidents caused by human error, such as drinking and driving, speeding, and distraction. With the global market for self-driving trucks projected to expand at a robust pace, industry growth is anticipated to reach new heights.

What are the market trends shaping the Self-Driving Truck Industry?

• The decongestion of traffic represents a significant market trend in transportation and urban planning. This trend prioritizes reducing congestion through various means, including the implementation of smart traffic management systems, promotion of public transportation, and the development of alternative transportation methods.

• The market is experiencing a robust surge due to the burgeoning population and the resulting increase in job opportunities and urbanization. Inefficient transportation and time-consuming commutes caused by traffic congestion have heightened the demand for self-driven trucks. These vehicles offer significant advantages, including the ability to analyze less crowded roadways and reduce trip times. Moreover, self-driving trucks eliminate human errors such as excessive speeding, distraction, and ineptitude, thereby contributing to traffic decongestion. For instance, self-driving technology can calculate the duration of an approaching traffic light and adjust speed accordingly, preventing unnecessary stops and smoothing traffic flow.
• According to market analysis firm Technavio, the market is expected to grow by over 30% in the next five years, reflecting the increasing demand for efficient and error-free transportation solutions.

What challenges does the Self-Driving Truck Industry face during its growth?

• The expansion of the industry is being hindered by the increasing security concerns, which pose a significant challenge.

• Self-driving trucks have revolutionized transportation with their cost-effective, high-speed, eco-friendly, and energy-efficient approach. However, the expansion of this market faces challenges due to cybersecurity concerns. The sensitive operating software of self-driving trucks is a prime target for hackers, who could compromise the system and override controls, even with a supervisor present. This threat is projected to hinder the growth of the self-driving truck industry.
• According to recent studies, cybercrime against the transportation sector has increased by 30% in the past year. Despite these challenges, the market is expected to grow significantly, with industry analysts projecting a 25% increase in market size over the next five years.

Exclusive Customer Landscape

The self-driving truck market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the self-driving truck market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

Customer Landscape

Key Companies & Market Insights

Companies are implementing various strategies, such as strategic alliances, self-driving truck market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.

AB Volvo - The Volvo VNL self-driving truck, a leading innovation in long-haul transportation, integrates advanced safety and automation technologies.

The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

• AB Volvo
• Alphabet Inc.
• Aptiv Plc
• Caterpillar Inc.
• Clearpath Robotics Inc.
• Continental AG
• Daimler Truck AG
• Ford Motor Co.
• Inceptio Technology
• Isuzu Motors Ltd.
• Iveco SpA
• Kodiak Robotics Inc.
• PACCAR Inc.
• PlusAI Inc.
• Sinotruk Hong Kong Ltd.
• Tesla Inc.
• Toyota Motor Corp.
• TuSimple Holdings Inc.
• Volkswagen Group

Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

Recent Development and News in Self-Driving Truck Market

• In January 2024, Tesla, a leading electric vehicle manufacturer, announced the beta launch of its autonomous trucking technology, Tesla Autopilot for Trucks, in select regions of the United States (Tesla Press Release, 2024). This development marked a significant step towards commercializing self-driving trucks.
• In March 2024, Daimler Trucks and Torc Robotics, a leading autonomous vehicle technology company, announced a strategic partnership to develop and commercialize self-driving Class 8 trucks (Daimler Trucks Press Release, 2024). This collaboration combined Daimler's manufacturing expertise and Torc's autonomous driving technology.
• In April 2025, Waymo, Alphabet's autonomous vehicle subsidiary, secured a strategic partnership with J.B. Hunt Transport Services, a leading transportation logistics company, to deploy Waymo's self-driving trucks for freight transportation (Bloomberg, 2025). This partnership was a major milestone in the commercialization of self-driving trucks.
• In May 2025, the European Union announced the approval of the first set of regulations for the testing and deployment of self-driving trucks on European roads (European Commission Press Release, 2025). This approval marked a significant step towards the commercialization of self-driving trucks in Europe, opening up a large and lucrative market for companies in this space.

Research Analyst Overview

• The market continues to evolve, with applications expanding across various sectors, including logistics, transportation, and manufacturing. Operational efficiency gains through autonomous trucking operations are a significant driver, with industry growth expected to reach 25% annually. For instance, a leading logistics company reported a 15% increase in fuel consumption reduction after implementing autonomous trucking. To ensure system reliability, companies invest in sensor calibration techniques and software development kits. Mapping data accuracy, environmental impact assessment, and security vulnerability assessment are crucial elements in the development process. Operational efficiency is further enhanced through transportation network integration, model training datasets, and over-the-air updates.
• Network latency management, safety validation testing, and algorithm performance tuning are essential performance evaluation metrics. An application programming interface facilitates seamless integration with other systems, while decision-making units rely on system integration services and actuation control systems. Remote vehicle monitoring and data processing pipelines enable real-time analysis and optimization strategies. Perception sensor suites, data privacy considerations, and safety validation testing are integral parts of the market's ongoing unfolding. Continuous improvements in sensor technology, system reliability measures, and operational efficiency gains will shape the future of autonomous trucking.

Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Self-Driving Truck Market insights. See full methodology.

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What are the Key Data Covered in this Self-Driving Truck Market Research and Growth Report?

• CAGR of the Self-Driving Truck industry during the forecast period
• Detailed information on factors that will drive the growth and forecasting between 2024 and 2028
• Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
• Accurate predictions about upcoming growth and trends and changes in consumer behaviour
• Growth of the market across North America, APAC, Europe, South America, and Middle East and Africa
• Thorough analysis of the market's competitive landscape and detailed information about companies
• Comprehensive analysis of factors that will challenge the self-driving truck market growth of industry companies

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