The system uses sensors such as LiDAR, RADAR, vision sensors, ultrasonic sensors, and other devices to visualize the environment and act accordingly. Numerous opportunities are associated with self-driving truck technology, which can only flourish with the help of government support. The framework for the autonomous vehicle testing and validation should be made and implemented, which eventually creates wider opportunities for the self-driving truck technology market to witness growth in the near future.
The self-driving truck technology market scope covers segmentation by sensor type, component, application, autonomous level, propulsion type and region. The report provides information on various sensors used in self-driving truck technology such as vision sensor, LiDAR, RADAR, and ultrasonic sensor. Further the study highlights the details about hardware, software, and services. In addition, long haul transportation, last mile delivery, construction & manufacturing, logistics, mining, port and other applications are covered in the study.
The report gives insights about the autonomy level of truck technology and covered the study of Level 1, Level 2, Level 3, Level 4, and Level 5. The report provides information on the various propulsion types the technology is used; for instance, in internal combustion engines, hybrid transmission, and electric transmission.
Moreover, it analyzes the current market trends of business travel insurance across different regions such as North America, Europe, Asia- Pacific, and LAMEA and suggests future growth opportunities along with consideration of COVID-19 impact.
The growth drivers, restraints, and opportunities are explained in the report to better understand the market dynamics. This report further highlights the key areas of investment. In addition, it includes Porter’s five forces analysis to understand the competitive scenario of the industry and role of each stakeholder.
Value chain analysis for this industry, which includes R&D, components manufacturers, assembly, programming & testing, marketing & sales, customers, and post-sales services, is explained. The report features strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of the key players to increase their market share and sustain intense competition in the industry.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the self-driving truck market analysis from 2025 to 2035 to identify the prevailing self-driving truck market opportunities.
- The market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- In-depth analysis of the self-driving truck market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes the analysis of the regional as well as global self-driving truck market trends, key players, market segments, application areas, and market growth strategies.
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Key Market Segments
By Component
- Hardware
- Software
- Services
By Application
- Logistics and Transportation
- Construction and Manufacturing
- Mining
- Port
- Others
By Level of Automation
- Level 1
- Level 2
- Level 3
- Level 4
- Level 5
By Propulsion Type
- Internal combustion
- Hybrid transmission
- Electric transmission
By Region
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
Key Market Players
- Waabi
- Aurora Innovation Inc.
- PlusAI, Inc.
- Kodiak Robotics, Inc.
- Embark Trucks, Inc.
- Einride
- RRAI
- TuSimple
- Jiluo Technology (Shanghai) Co., Ltd.
- Torc Robotics
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Table of Contents
Executive Summary
The Self-Driving Truck Technology Market is expected to experience a significant growth rate of 12.1% from 2025-2035 owing to development of intelligent transport system across the globeTruck which assists driver as well as guides itself out from uncertain situation is called a self-driving truck or autonomous truck. The technology which helps to drive the truck by itself is called self-driving truck technology. The technology incorporates sensors such as LiDAR, RADAR, vision sensor, and ultrasonic sensor with AI software. The technology is used for the logistics and transportation to tackle challenges such as driver shortage and to eliminate human errors which can cause casualty on the road. The self-driving trucks are also used in excavation site in mines or a loading and unloading zone in a port to move goods and materials to a storehouse. The technology manufacturers are a developing Level 4 autonomy where the autonomous system drive the truck by itself, but the manual override option is present for driver to take control at the time of an emergency.
The key factors driving the growth of the self-driving truck technology market include development of intelligent transport system, growth of connected infrastructure and improved safety coupled with reduction in traffic congestion. Moreover, countries are testing and developing with the intelligent transport system. The Intelligent Transportation System (ITS) enables users to be better informed and operate the transportation network in a safer, more coordinated, and smarter manner. In April 2023, Greater Chennai Corporation, in collaboration with several organizations such as Greater Chennai Traffic Police and Metropolitan Transport Corporation (MTC), has launched a project to install Intelligent Transportation Systems. Larsen & Toubro Limited will carry out the project, which is being sponsored by Japan International Cooperation Agency (JICA) and the Tamil Nadu government. When the Intelligent Transport Systems project is completed in two years, the Chennai Metropolitan Area will receive a variety of components, including adaptive signaling at 165 junctions to allow for faster vehicle movement along the highways. Following the implementation of adaptive signaling, traffic lights will turn on based on the amount of vehicles on specific segments. The system will also detect vehicles that exceed the speed limit. At 50 intersections, a red light violation detecting system will be installed. At 58 different places, a traffic incident detection system will be installed. The development of intelligent transport systems has helped the expansion of transport and logistics services. Thus, the system will further increase the growth of self-driving truck technology market.
The market also offers opportunistic factors to the key players operating in the market to enhance their technology and services, which creates ample opportunities for the growth of the market across the globe. This includes Supportive government regulation that increases testing and development of technology on the public roads, which supplements the growth of the market across the globe. Moreover, companies such as Einride signed a memorandum of understanding (MoU) with the UAE Ministry of Energy and Infrastructure (MOEI) to create a 550-kilometer freight mobility grid. The planned freight mobility grid will consist of 2,000 electric vehicles, 200 self-driving vehicles, and eight charging stations. The collaboration is expected to develop the infrastructure for the self-driving trucks in the region.
The self-driving truck technology market is segmented into component type, application, autonomous level, propulsion type and region. On the basis of component type, it is segregated into hardware, software and services. Depending on application, it is classified into logistics & transportation, construction & manufacturing, mining, port, and others. Based on level of automation, it is segregated into Level 1, Level 2, Level 3, Level 4, and Level 5. On the basis of propulsion, it is divided into internal combustion engines, electric transmission, and hybrid transmission. By region, it is analyzed across North America (U. S., Canada, and Mexico), Europe (UK, Germany, France, Italy, Spain and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, and Rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).
The key players profiled in the study include Waabi, Aurora Innovation Inc., PlusAI, Inc., Kodiak Robotics, Inc., Embark Trucks, Inc., Einride, RRAI, TuSimple, Jiluo Technology (Shanghai) Co., Ltd. and Torc Robotics. The developments carried out by these companies supplement the growth of the market across the globe. For instance, in June 2023, Einride partnered with Postnord to offer a digital, electric and autonomous technology in Norway and helps the region to reduce emission and attain carbon neutrality. Such developments create ample opportunities for the growth of the market across the globe.
Key Market Insights
By component type, the hardware segment is expected to be the highest revenue contributor to the market, with $5.10 billion in 2025, and is estimated to reach $14.68 billion by 2035, with a CAGR of 11.1%.By application, the others segment is expected to be the highest revenue contributor to the market, with $3.26 billion in 2025, and is estimated to reach $7.71 billion by 2035, with a CAGR of 9.0%.
By level of automation, the level 1 segment is expected to be the highest revenue contributor to the market, with $9.53 billion in 2025, and is estimated to reach $19.60 billion by 2035, with a CAGR of 7.5%.
By propulsion type, the electric transmission segment is expected to be the highest revenue contributor to the market, with $5.88 billion in 2025, and is estimated to reach $22.18 billion by 2035, with a CAGR of 14.2%.
By region, North America is expected to be the highest revenue contributor, accounting for $4.76 billion in 2025, and is estimated to reach $12.17 billion by 2035, with a CAGR of 9.8%.
Companies Mentioned
- Waabi
- Aurora Innovation Inc.
- PlusAI, Inc.
- Kodiak Robotics, Inc.
- Embark Trucks, Inc.
- Einride
- RRAI
- TuSimple
- Jiluo Technology (Shanghai) Co., Ltd.
- Torc Robotics
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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