Self-Driving Truck Market Size & Share 2026-2035

Self-Driving Truck Market Size

The global self-driving truck market was estimated at USD 2 billion in 2025. The market is expected to grow from USD 3.2 billion in 2026 to USD 63.8 billion in 2035, at a CAGR of 39.4%, according to latest report published by Global Market Insights Inc.

The market volume was estimated at 4,300 units in 2025. The market is projected to grow from 7,100 units in 2026 to 1,13,863 units by 2035, registering strong double-digit growth over the forecast period.

Truck operations worldwide are experiencing severe challenges as far as the availability of experienced drivers is concerned because of the old age of the current workforce, difficult working conditions, and lack of enthusiasm among the younger generation for driving as a profession. Such shortages have led to bottlenecks in business processes, high labor costs, and late deliveries of goods. The use of self-driving trucks will help to mitigate such problems through the minimization of dependency on human drivers while assuring continued cargo transportation. Autonomous trucks will be able to work for more time than people due to lack of fatigue problems. ^{[1]American Trucking Associations, trucking.org}

In February 2025, Waabi joined hands with Volvo Autonomous Solutions to create autonomous trucks that use artificial intelligence for cargo transport purposes. This partnership will help deal with the scarcity of skilled drivers for trucks and allow autonomous long-distance delivery through efficient fleet management and lower operation costs.

With the expansion of e-commerce business and global trading activities, along with rising demands from customers for faster deliveries, there is a need for an efficient means of transporting cargo. There is an incessant demand from logistics companies to cut down the cost of operation while at the same time delivering cargo in the shortest possible time frame. Autonomous trucks offer greater efficiency when it comes to routing, cutting down on idle times and making round-the-clock delivery a possibility. Autonomous trucking will also prove beneficial with regard to increased fuel efficiency due to uniformity in driving patterns and reduced traffic congestion.

The technological advancements in artificial intelligence, machine learning, LiDAR, radar, camera technology, and high-performance computing have tremendously sped up the development of self-driving trucks. The current autonomous technology can analyze an enormous amount of real-time information, detecting obstacles, predicting road conditions, and deciding on how to drive with greater accuracy. The advancements in sensor fusion and perception have resulted in increased reliability of vehicles in various environments. Moreover, falling prices of sensors and computing technology have made autonomous trucks economically feasible. ^{[2]Fraunhofer Institute for Applied and Integrated Security (AISEC), aisec.fraunhofer.de}

Road safety has taken a significant place on the agenda of authorities and fleet managers because of numerous accidents happening in the result of people’s mistakes, tiredness, distractions, and impairment. Self-driving trucks are created to continuously scan the surrounding environment and react to various dangers faster than any human driver would do. The use of advanced driver assistance and autonomous technologies is aimed at keeping safe distances between vehicles and preventing possible crashes and improving control over cars in case of difficulties. This can significantly reduce accident frequency and economic losses that occur in the result of such incidents. ^{[3]National Highway Traffic Safety Administration (NHTSA), nhtsa.gov}

The Asia Pacific region is another big market for self-driving trucks since there is rapid expansion of logistics networks, e-commerce, investments in smart mobility infrastructure and government policies supporting testing of autonomous vehicles. There are favorable manufacturing capabilities, developments in artificial intelligence and implementation of connected vehicle technologies in this region. Some of the companies playing a key role in developing autonomous trucking technologies in this region include Plus, Pony.ai, Baidu, TuSimple and Fuso.

North America will witness the fastest growth in the self-driving truck market because of driver shortage, high demand for freight transportation, investments made in autonomous vehicle technologies and good testing environment. Some of the countries that are investing heavily in smart transport infrastructure, connected highways, pilots of autonomous vehicles and advanced logistics networks include the US, Canada and Mexico. Some of the factors that will drive market growth include increasing long haul freight transportation, increased use of AI driving systems, development of autonomous freight corridors and V2X technologies.^[4]

Self-Driving Truck Market Trends

Level 4 autonomous truck pilot programs are picking up pace, as technology firms and logistics firms are making efforts towards verifying the capabilities of autonomous trucks through pilot programs. Level 4 autonomy will allow the truck to drive itself without any human interference in an operational domain that has been defined by the company operating it, for instance, specific highways or freight corridors. Pilot programs are being carried out to test the safety and reliability of autonomous trucks before they can be put to large-scale use. This is also contributing toward the adoption of autonomous trucks.

In May 2025, Aurora Innovation launched the first commercial Level 4 driverless trucking service on the Dallas–Houston freight corridor in Texas. The milestone marked a major expansion of Level 4 autonomous truck pilots into commercial operations, demonstrating the readiness of autonomous freight technology for long-haul logistics and accelerating the transition toward large-scale driverless trucking.

AI is increasingly becoming an integral part of self-driving trucking technology, which helps the vehicle to sense its environment, evaluate complicated traffic situations, and come up with appropriate real-time driving decisions. The use of AI in driving technology involves the application of machine learning techniques, computer vision, and predictive analytics to improve the navigation skills of the vehicle. Such driving technologies keep improving with time by collecting data and refining the algorithms, which allows the truck to adjust to changing road environments and traffic. The increased use of AI technology is making autonomous vehicles increasingly reliable.

Investments by governments, transport agencies, and businesses in autonomous freight corridors are becoming prevalent for the purpose of enabling the smooth integration of self-driving trucks. Such corridors are equipped with modern technology like digital maps, connectivity, and other infrastructure that allows the operation of autonomous vehicles over longer distances. Such an environment provided by freight corridors helps in reducing operational complications and increases efficiency in transportation. It further enables logistics firms to deploy their autonomous trucking services in major trade routes. Development of such corridors will prove vital in increasing the adoption of autonomous freight transport networks.

Vehicle-to-everything (V2X) technology is becoming increasingly important in improving the functionality of self-driving trucks due to the capability to provide communication between different aspects such as vehicles, infrastructure, traffic management, and other vehicles on the roads. Continuous exchange of information enables autonomous trucks to get knowledge regarding traffic flow, road dangers, weather forecasts, and timing of traffic signals. This helps self-driving trucks make better decisions regarding driving. With increased spending on intelligent transportation infrastructure, V2X technology will be instrumental in facilitating safe and coordinated self-driving transportation network. ^{[5]Boeing, boeing.com}

Self-Driving Truck Market Analysis

Based on level of autonomy, the self-driving truck market is divided into level 3, level 4, level 5. Level 3 segment dominated the market, accounting for around 64.4% in 2025 and is expected to grow at a CAGR of more than 38.9% through 2035.

• Level 3 segment accounts for the biggest market share of the self-driving truck industry due to its growing implementation in commercial freight trucks and ability to improve driver safety while maintaining human control. Level 3 trucks are capable of performing almost all driving activities in specified operating environments, allowing drivers to take control of the truck when necessary. This feature allows reducing driver fatigue, improving fuel efficiency, and optimizing long-distance logistics services. Increasing demand for ADAS, highway automation, and intelligent fleet management systems is fueling the implementation of Level 3 autonomous trucks into logistics and freight transportation chains.
• In addition, the level 3 segment of autonomous trucks is experiencing fast technological progress of artificial intelligence, sensor fusion, high-definition maps, and data processing technology. Fleet managers of commercial trucks are implementing more Level 3 systems to increase the efficiency of operations without the need for fully autonomous highway and infrastructure or regulatory framework allowing driverless vehicles to operate. LiDAR, radar, camera, and cloud-based fleet management platform allow safer navigation and traffic situation analysis. Moreover, investments in the development of connected highways and smart transportation infrastructures are contributing to the commercialization of Level 3 autonomous trucks.
• In March 2025, Daimler Truck increased tests of its Level 3 automated driving system for trucks in some highways in Europe. This involves efforts to boost freight efficiency, improve drivers’ functions, and test the system's ability to drive autonomously on highways prior to its commercial launch in long-distance logistic transportation.
• Level 4 segment is expected to grow with a CAGR of more than 40.2% due to the evolution of autonomous driving technologies and regulations. Autonomous trucks under Level 4 do not require any human control while moving within an operational domain; thus, these trucks are well suited for long-distance transport on freeways, in ports, mines, and logistics centers. The rising number of pilot tests, developments in autonomous freight corridors, advances in artificial intelligence, perception, and vehicle-to-everything (V2X) communications are facilitating the commercial adoption of Level 4 autonomous trucks.

• The self-driving truck industry is primarily led by the hardware segment due to the importance of components, like LiDAR, radar, cameras, ultrasonic sensors, GPS modules, high-performance processors, and on-board computers. Such elements allow vehicles to perceive the environment, identify obstacles, analyze the data related to real-time driving, and ensure safe navigation at different road conditions. Due to the necessity to employ several redundant sensing systems for reliable functioning, the demand for hardware keeps growing as well. The increased adoption of Level 3 and Level 4 autonomous trucks will encourage even bigger investments into high-performance autonomous driving hardware.
• In addition, the continuous improvements in the spheres of sensor technology and hardware make it possible to create better performing autonomous trucking solutions. Modern manufacturers develop compact and efficient LiDARs, AI accelerators, and next-gen processing units, which can deal with complex situations and analyze data at the highest speed. Sensor fusion, edge computing, and redundant architectures of hardware systems will contribute to safer driving, as well as to the decrease in latency. With the approach to the period of commercialization, higher production volumes and lower prices of hardware are expected to contribute to affordability.
• In January 2025, NVIDIA launched the new AI computing platform for the automotive industry that would be used in order to build Level 3 and Level 4 autonomous trucks. This platform provided much greater computational power, which would allow the trucking companies to implement more complex systems for automation.
• The software segment is expected to grow with a CAGR of more than 40.3% due to rising demand for algorithms that employ artificial intelligence for perception, route planning, localization, fleet management, and autonomous driving systems. The software acts as the brains of self-driving trucks, which involve data processing from sensors, decision-making in the context of driving, optimization of routes, and over-the-air software updates for constant improvement of the system. Development in areas such as machine learning, cloud computing, digital maps, and simulation software is also boosting the innovation of software solutions.

Based on application, the self-driving truck market is divided into long-haul freight transportation, hub-to-hub transportation, last-mile & regional delivery, mining & construction logistics, port & yard operations, and industrial logistics, others. The long-haul freight transportation segment held the major market share in 2025. 

• The long-haul freight transportation segment holds the largest share in the self-driving truck industry due to the high level of demands for efficient, affordable, and reliable cargo services through long distances. Self-driving trucks are perfect for highway driving where traffic conditions are more predictable, and continuous driving is possible. This kind of trucks helps solve problems related to drivers' shortage, minimize operating expenses, improve fuel consumption, and increase fleet's productivity due to their ability to operate for many hours without stopping. An increasing expansion of the e-commerce sector, international cargo deliveries, and large logistics networks leads to an active use of self-driving trucks for long-haul freights.
• Moreover, growing investments in the development of autonomous freight corridors, artificial intelligence, and innovative sensor technologies lead to the accelerated implementation of autonomous trucks for long distance deliveries. Logistics companies cooperate with developers of autonomous driving technologies to organize better delivery timeframes and routes' planning and minimize operating expenses. Thanks to vehicle-to-everything communication technology, cloud fleets' management system, and predictive maintenance systems, long-haul freight transportation will remain the main area of commercial implementation of self-driving trucks.
• In April 2025, Aurora Innovation made the announcement of expanding their operations related to the autonomous long-haul freight in collaboration with the leading logistics carriers in the US. The goal of the program is to expand the driverless freight miles over important US highways and to validate the performance of the technology.
• The hub-to-hub transportation segment is expected to grow with a CAGR of more than 41.3% due to its suitability for autonomous driving along set and repetitive cargo routes. Hub-to-hub transportation refers to moving cargo from one distribution center, warehouse, or logistics facility to another. These kinds of roads have very predictable conditions and predictable routes as well. The adoption of hub-to-hub transportation makes it easier to navigate, and it helps simplify the whole process of operation and effective fleet management. There are increased investments in autonomous logistics corridors, logistics facilities, and interconnected transportation systems that encourage adoption.

Based on end user, the self-driving truck market is divided into logistics & transportation companies, e-commerce companies, retail & consumer goods companies, manufacturing companies, mining companies, government & defense, others. Logistics & transportation companies dominated the self-driving truck industry.

• The logistics & transportation companies dominate the market due to the ongoing attempts of this industry to boost efficiency, cut down costs on transportation and solve the problems associated with lack of drivers. It is a very important sector because of its huge freight transport networks which require reliable and round-the-clock transportation services. Autonomous vehicles will allow these companies to have increased work hours, to optimize fuel costs, cut delivery time and optimize their fleets. Due to the fast development of such phenomena as e-commerce, international transportation and just-in-time supply chain, logistics companies are more likely to use this technology.
• In addition, logistics and transportation companies are actively cooperating with companies engaged in developing autonomous cars and trucks in order to introduce this technology on a wider scale. They are implementing AI-based fleet management systems, autonomous freight corridors, vehicle-to-everything (V2X) communication and predictive maintenance technologies. Pilot projects are proving the profitability of autonomous trucks and help reduce costs on labor force and boost delivery reliability. With the ongoing evolution of regulation framework, logistics companies will continue being the most important users of this technology throughout the forecast period.
• In May 2025, Aurora Innovation extended its relationship with Uber Freight by adding more autonomous trucks in their fleet to conduct freight operations along the major logistics highways in the United States. Through this partnership, it was anticipated that improvements would be made in freight efficiency and long-haul logistics.

Based on vehicle class, the self-driving truck market is divided into class 4, class 5, class 6, class 7, class 8. Class 8 segment dominated the market.

• Class 8 segment dominates the self-driving truck industry due to their vast usage in long-distance freight hauling, logistics, and commercial haulage. Class 8 trucks have become the most favored platform for autonomous driving as they mostly operate on highways where driving becomes easy and autonomous driving becomes possible. Due to the rising demand for efficient freight hauling, along with the shortage of drivers and rising costs of operation, there has been a rise in the number of fleet owners deploying autonomous Class 8 trucks.
• There has been an increase in the investment in autonomous driving at Level 4, AI-assisted perception systems, and sensors suites which is facilitating the adoption of autonomous trucks among fleets. Leading truck manufacturers and autonomous technology companies are engaging in large-scale pilots and commercial deployments of autonomous Class 8 trucks through dedicated freight routes for validation purposes. Fleet management in the cloud, V2X communication, and predictive maintenance solutions are providing additional efficiency.
• In May 2025, Aurora Innovation launched the first commercial driverless Class 8 trucking service between Dallas and Houston, Texas. The deployment demonstrated the commercial viability of autonomous heavy-duty freight transportation and marked a significant milestone in the large-scale adoption of self-driving Class 8 trucks for long-haul logistics.

China dominated the Asia Pacific self-driving truck market with around 64.2% share and generated USD 0.7 Billion in revenue in 2025.

• China self-driving truck industry is experiencing robust growth due to the development of the logistics industry in the country, the fast advancement in artificial intelligence and massive investment in autonomous vehicle technologies. China has proved to be one of the dominant markets of autonomous trucks because of the presence of a substantial freight transportation industry as well as government policies that favor intelligent transportation system. In addition, the availability of developers and manufacturers of autonomous driving technologies has increased innovation in the market.
• In addition, the increasing trend towards the adoption of connected vehicles, smart highway networks, and AI logistics solution is creating demand for self-driving trucks among industries such as freight transportations and industrial transportation. Besides, government initiatives towards smart mobility and intelligent transportation infrastructure are also creating an environment favorable for market growth. Increased investments in vehicle to everything connectivity technology, cloud-based fleet management systems, and HD mapping technology are improving the performance of the autonomous trucks. Autonomous freight corridors and logistics centers are also adding to the market growth in the region. China is projected to dominate in the next few years due to the constant advancements in autonomous driving software, sensors, electric commercial vehicles, and intelligent freight transportation system.
• In February 2026, Pony.ai made the announcement of expanding its autonomous freight transport operations in different logistics routes in China. The company launched an advanced autonomous driving system suitable for long-distance trucks in order to increase the efficiency of freight transport operations.
• India is projected to grow at a significant CAGR in the self-driving truck industry due to the increasing demand for freight transport, digitization of the logistic sector, and investment by the government in developing smart transportation infrastructure. Technologies that facilitate intelligent mobility, connectivity of the highways, and upgrading of commercial vehicles are being promoted through the development initiatives for autonomous trucks. Furthermore, the rise in the popularity of e-commerce, warehouses, and the supply chains is creating high demands for efficient transport options. Meanwhile, other nations like Japan and South Korea keep contributing to the regional market growth.

The Germany self-driving truck market is expected to experience significant and promising growth from 2026 to 2035.

• Europe accounts for over 19.4% of the market in 2025 and is expected to grow at a CAGR of around 37.5% due to massive investments made in autonomous transport and transportation infrastructure along with increased demand for effective freight transportation. Europe is one of the pioneers of intelligent transportation with a focus on road safety and sustainable environment. There are many leading firms of autonomous trucking and commercial vehicles operating in the European region such as Volvo Group, Daimler Truck, Scania, and MAN Truck & Bus that are continuously working towards developing and testing autonomous truck technologies across the regional freight network.
• Germany is a strong self-driving truck industry leader due to its well-developed automotive industry and logistics sector. It is considered to be a hub for the manufacturing of commercial vehicles and intelligent transportations. Increasing use of artificial intelligence, sensor devices and connected car technology is witnessed among the commercial freight transportation firms in Germany. Government policies and initiatives encouraging autonomous vehicle testing and development of smart infrastructure are further supporting the adoption of self-driving trucks. Along with this, emphasis on making logistics more efficient and reducing transportation cost is providing a favorable environment for the self-driving trucks.
• In November 2025, Daimler Truck extended the testing of its autonomous trucks in important freight corridors in Germany and other European countries adjacent to it. The project aims at the validation of level 4 autonomous driving in long-distance transport and the improvement of local capacities in the area of commercial autonomous transportation technology.
• The UK is becoming one of the leading markets for self-driving truck due to its rising investments in autonomy, logistics infrastructure, and demand for efficient freight transport. Autonomous mobility projects backed by government and favorable regulation of connected transport technology are fueling market expansion. Increasing use of e-commerce and supply chain cost reduction measures are some of the factors that will encourage the market for autonomous freight solutions in the country. In addition, the application of artificial intelligence technology, connected vehicle technology, and intelligent road infrastructure will contribute to the growth of the autonomous truck market in the UK.

The U.S. self-driving truck market is expected to experience significant and promising growth from 2026-2035.

• North America accounts for over 23.5% of the self-driving truck industry in 2025 and is expected to grow at a CAGR of around 39.5% between 2026 and 2035 due to increasing shortage of drivers, growing need for efficient transport of cargo, and rapid progress in autonomous driving technology. High availability of key players in autonomous vehicles, excellent capabilities for research and development activities, and well-developed logistic services in the region facilitate the growth of the market. Investments in artificial intelligence, connected vehicle systems, autonomous freight corridors, and smart transport infrastructure have accelerated the adoption of self-driving trucks.
• US is considered to be one of the leading regions within the self-driving truck market because of its well-developed transportation system for freights, a powerful technological base, and the implementation of autonomous mobility solutions. Leading technology providers, autonomous trucking companies, and car manufacturers are currently implementing tests of self-driving trucks on long-distance freights. The rising need for supply chain optimization, reducing expenses related to labor, and improving road safety is stimulating the adoption of autonomous technologies for trucking by fleet owners. Moreover, investment into intelligent transportation systems and other technological components for autonomous freights makes the country a leader in this business area.
• Moreover, governmental initiatives aimed at supporting innovations in transport, development of smart infrastructure, and connected highways create a favorable environment for the use of autonomous trucks. Cooperation between logistics operators, automakers, and technology firms is promoting the commercialization of level 4 autonomous trucks and innovative fleet management systems. Deployment of vehicle to everything (V2X) communications, cloud logistics, and autonomous logistics centers increase the efficiency of operations. All these contribute to the creation of a stable ecosystem needed for deployment of self-driving trucks on a larger scale in North America.
• In January 2025, Aurora Innovation made an important breakthrough in its project for autonomous trucks by rolling out their pilots through key logistics partners in selected freight corridors of the United States. This project was mainly aimed at validating the feasibility of commercial-scale autonomous freight transport and deployment of autonomous trucking technologies for long-distance logistics.
• Canada represents one of the fast-growing economies that show increased demand for self-driving truck due to investments in intelligent transportation systems, the introduction of autonomous vehicles testing projects, and digital logistics infrastructure. The emphasis on enhancing supply chains and lowering costs of transportation in Canada is driving the market for autonomous freight systems. Besides, innovations and support for artificial intelligence and connected mobility in transport contribute to the development of the market as well. Finally, the expansion of cross-border transportation and smart transport projects between Canada and the USA will drive autonomous trucking market development within the forecast period.

The Brazil self-driving truck market is expected to experience significant and promising growth from 2026 to 2035.

• Latin America holds around 1.81% of the automotive wiring harness market in 2025 and is growing steadily at a CAGR of around 33% between 2026 and 2035 because of the growth in freight transportations, expansion of the logistics systems, and modernization of the transport systems in countries like Brazil, Mexico, Argentina, and Chile. The development of the electronic commerce system in Latin America and the requirement of better supply chain is making people interested in the use of self-driving trucks. Moreover, the development of the digital system and fleet management technology is helping in the rise of the market.
• Brazil dominates the Latin America self-driving truck market because of its large-scale logistics industry, well-developed network of highways, and high need for the efficient transportation of cargo. As Brazil is the biggest economy in the region, it depends a lot on road transport for the transportation of goods, which makes the use of self-driving trucks quite an interesting proposition to achieve efficiency and bring down the cost of transportation. The rise in the number of digital logistics platforms, intelligent fleet management systems, and connected vehicle technology is propelling market growth.
• Increasing use of autonomous driving technology, logistics infrastructure development, and safety of transportation are some of the factors that will contribute to market growth during the forecast period. Modernization of transportation systems by the government, along with improving the efficiency of freight, is making an ideal environment for the adoption of autonomous trucks. Moreover, collaboration between tech firms, logistics companies, and commercial vehicles is also speeding up innovation in the field of autonomous trucking solutions. Development of smart highways connected transport networks, and vehicle-to-vehicle communication systems will also play a key role in this process.
• In December 2025, Plus declared its expansion of the collaboration between its autonomous truck technology and logistics companies operating in Latin America. The project is intended to assess the use of autonomous trucks along the major highways, as well as promoting the implementation of AI-based trucking systems.
• The Mexico self-driving truck industry has become one of the rapidly growing markets due to its well-developed logistics and exporting industry, as well as due to its close proximity to the United States. Investments in the development of transportation infrastructure, warehouses, and the systems for monitoring the freight transportation process contribute to favorable market conditions. The increase in the number of Mexican manufacturing enterprises and the need for better freight transportation is driving logistics companies to utilize technologies of autonomous vehicles. Furthermore, improvements in transportation infrastructure are predicted to contribute to the further development of the market under consideration.

The UAE self-driving truck market is expected to experience significant and promising growth from 2026-2035.

• MEA holds around 1.65% of the market in 2025 and is growing steadily at a CAGR of around 35.8% between 2026 and 2035 due to growing investments in the modernization of smart transportation infrastructure and logistics, as well as the implementation of autonomous mobility in such countries as UAE, Saudi Arabia, South Africa, and others. Economic diversification, digital transformation, and logistics improvements create optimal conditions for the use of autonomous cargo transportations in the region. At the same time, growing investments in artificial intelligence, connectivity solutions, and intelligent transportation systems drive the growth of self-driving truck adoption in logistics, mining, industrial, and long-haul freight transportation.
• The UAE dominates the MEA self-driving truck market due to its dedication to smart mobility solutions, innovative technologies in transportation, and sustainable logistics. Various government programs promoting autonomous transportation and smart cities, as well as artificial intelligence, stimulate the growth of autonomous vehicle solutions in the UAE. Investments in intelligent transportation systems, connected roadways and digital platforms for logistics are another key factor driving market growth in the UAE. Moreover, the leading position of UAE in logistics and trade creates additional incentives for the implementation of autonomous cargo solutions.
• In addition, strategies adopted by various nations within the region related to digitalization, smart infrastructure, and sustainable transport are contributing positively towards providing a good chance for the adoption of autonomous freight technologies. Investments made in smart highways, vehicle-to-everything (V2X) communication system, and traffic management systems have contributed towards the operations of autonomous trucks. Growing need for more effective logistics services especially in ports and industrial areas, along with cross-border transport routes, is contributing positively towards market growth. Technology companies, logistic service providers, and vehicle manufacturers are contributing towards the success of self-driving trucks in MEA.
• Saudi Arabia is expected to grow at the fastest CAGR in the MEA self-driving truck industry due to growing investments in logistics upgrading, autonomous mobility, and transport infrastructure as part of Vision 2030. Various projects associated with the construction of smart cities, industrialization, and intelligent transportation systems provide substantial scope for self-driving trucks. The growing logistics industry along with Saudi Arabia’s strategic goal of positioning itself as a global transport hub is also driving the uptake of self-driving trucks. In addition, investments in artificial intelligence, connected mobility, and smart roads are poised to drive the market further in the upcoming years.

Self-Driving Truck Market Share

• The top 7 companies in the self-driving truck industry are Inceptio Technology, DeepWay, Daimler Truck, Volvo (V.A.S.), Plus (PlusAI), TRATON, Einride contributed around 71.2% of the market in 2025.
• Inceptio Technology is one of the top technology firms that design self-driving technology for use in heavy-duty trucks, primarily for commercial freight transport in China. It designs self-driving technology for heavy-duty trucks, integrating them with artificial intelligence, high-definition maps, and cloud platform management of the fleet. It has partnered with various truck manufacturers and logistics firms to integrate the autonomous trucks into long haul freight lines.
• DeepWay is an autonomous truck manufacturer based in China which offers intelligent and battery-powered heavy trucks suited for logistics purposes. The company integrates autonomous technology with the battery-electric truck platform in order to offer an effective and sustainable freight transport solution. Advanced sensors, artificial intelligence and intelligent cockpits have been integrated into its trucks. DeepWay emphasizes cost reduction in its operations and the digitalization of commercial transport.
• Daimler Trucks  is among the leading manufacturers of commercial vehicles across the globe and is at the forefront of innovations related to autonomous trucks. It is currently developing level 4 autonomous trucks by collaborating with several autonomous vehicle technology firms. It has several programs that conduct field tests on its autonomous trucks. Daimler Trucks combines high-end safety features, AI-enabled driving system, and connected vehicle solutions in its commercial trucks.
• Volvo is among the leaders in the production of commercial vehicles and construction equipment and autonomous transportation systems. It offers solutions in the form of autonomous trucks for use in freight transport, mining, ports and industrial logistics, using state-of-the-art perception systems and artificial intelligence. Volvo has made huge investments in connected mobility, autonomous driving, and electric commercial vehicles.
• PlusAI is an innovative company that specializes in creating AI-powered autonomous driving software for commercial trucks, aiming at developing autonomous solutions that will scale up and be commercially feasible. SuperDrive is the name of the platform developed by the company which integrates the use of artificial intelligence, LiDAR, radar, cameras, and advanced computing for achieving Level 4 autonomous driving capabilities.
• TRATON  is among the world’s foremost manufacturers of commercial vehicles; some of its brands include Scania, MAN, International, and Volkswagen Truck & Bus. The firm is working on developing autonomous driving, connected cars, and electric commercial vehicles in an effort to revitalize the freight transport industry. TRATON has collaborated with various technology firms to develop a level 4 autonomous truck for long-distance logistics.
• Einride is a Swedish company that uses technology in developing autonomous and electric commercial transportation solutions. The company produces self-driving electric trucks, digital freight platforms, and smart logistics software aimed at making commercial transportation more effective. The operations of Einride consist of autonomous freight transportation in controlled and public roads, as well as collaborations with big logistics and manufacturing companies.

Self-Driving Truck Market Companies

Major players operating in the self-driving truck industry are:

• Daimler Truck
• DeepWay
• Einride
• Inceptio Technology
• Plus (PlusAI)
• Pony.ai
• Tesla
• TRATON 
• Volvo 
• Waabi

• The self-driving truck industry is characterized by high dynamics since there are players that belong to different industries, including developers of autonomous technology, commercial vehicle manufacturers, artificial intelligence companies, and logistics solutions providers. The industry participants invest heavily in the research and development processes aimed at developing the best autonomous perception systems, decision-making algorithms, sensor technologies, and high-performance computing capacities. The partnerships between truck OEMs, semiconductor companies, and autonomous technology providers help speed up innovation and implementation of the solutions. There are active expansion of pilot programs and real-life testing of the solutions on major freight routes.
• It is becoming more common for the market participants to invest in AI, LiDAR, radar, cameras, V2X communication, and fleet management platforms powered by the cloud. Collaboration with the logistics and freight providers helps them implement autonomous trucking solutions faster and prove their commercial viability. Moreover, the increasing investment into TaaS, smart transportation infrastructures, and connected freight networks opens new opportunities for growth in the market.

Self-Driving Truck Industry News

• In February 2026, Volvo Autonomous Solutions further strengthened its partnership with Waabi, which will allow the companies to develop more of their self-driving heavy trucks. The company will use artificial intelligence in order to create innovative vehicles that can be used to transport goods.
• In November 2025, Einride made the decision to list the company on the American stock market by means of a SPAC merger that would value the company for around USD 1.8 billion. This acquisition would be beneficial for the company's finances, allowing the company to expand its business abroad.
• In October 2025, Einride secured approximately USD 100 million in new funding to accelerate the deployment of its autonomous electric freight trucks, expand technology development, and increase its global customer base. The investment supports the company's strategy of scaling autonomous freight services on fixed commercial logistics routes.
• In October 2025, Waabi and Volvo Autonomous Solutions unveiled the Volvo VNL Autonomous truck integrating the Waabi Driver platform. The new autonomous truck combines advanced AI, redundant safety systems, and intelligent driving capabilities to support safe, scalable, and efficient long-haul freight operations.
• In January 2025, Kodiak Robotics delivered its first customer-owned autonomous truck equipped with the Kodiak Driver system. The milestone demonstrated the company's transition from pilot testing to commercial deployment, enabling fleet operators to adopt scalable autonomous freight solutions for long-haul transportation.

The self-driving truck market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Bn), volume (Units) from 2022 to 2035, for the following segments:

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Market, By Level of Autonomy

• Level 3
• Level 4
• Level 5

Market, By Component

• Hardware
  • LiDAR sensors
  • Radar sensors
  • Cameras & Vision Systems
  • Ultrasonic Sensors
  • Compute units
  • GPS & HD mapping modules
  • V2X communication hardware
• Software
  • Perception & AI/ML algorithms
  • Path planning & decision-making platforms
  • Simulation & virtual testing software
  • OTA update & fleet management software
• Services
  • System integration & deployment services
  • Remote monitoring & teleoperation services
  • Maintenance & support services
  • Data analytics & insights services

Market, By Application

• Long-haul freight transportation
• Hub-to-hub transportation
• Last-mile & regional delivery
• Mining & construction logistics
• Port & yard operations
• Industrial logistics
• Others

Market, By End User

• Logistics & transportation companies
• E-commerce companies
• Retail & consumer goods companies
• Manufacturing companies
• Mining companies
• Government & defense
• Others

Market, By Propulsion

• Internal combustion engine (ICE)
• Electric
  • Battery electric vehicles (BEV)
  • Fuel cell electric vehicle (FCEV)
• Hybrid

Market, By Vehicle Class

• Class 4
• Class 5
• Class 6
• Class 7
• Class 8

The above information is provided for the following regions and countries:

• North America
  • US
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Belgium
  • Netherlands
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • New Zealand
• Latin America
  • Brazil
  • Mexico
  • Argentina

• MEA   
  • South Africa
  • Saudi Arabia
  • UAE