市场调查报告书
商品编码
1622329
自动卡车市场规模、份额和成长分析:按 ADAS 功能、自动化程度、推进类型、感测器类型、卡车类别、应用和地区 - 2025-2032 年行业预测Autonomous Truck Market Size, Share, Growth Analysis, By Adas Feature, By Level of Automation, By Propulsion Type, By Sensor Type, By Truck Class, By Application, By Region - Industry Forecast 2025-2032 |
2023年自动驾驶卡车市场规模将为3983.4亿美元,预测期内(2025-2032年)复合年增长率为15%,从2024年的4580.9亿美元增至2032年的14013亿美元,预计还会增长。
在特斯拉、Waymo 和沃尔沃等行业领导者的技术进步和大量投资的推动下,全球自动驾驶卡车市场正处于上升轨道。这一成长主要归功于增强道路安全、提高驾驶效率和降低成本的承诺。具有队列行驶和自动驾驶技术等功能的自动卡车有望彻底改变远距物流。然而,市场面临监管问题、社会接受度以及进一步技术改进的需求等挑战。随着产业的发展,科技公司和传统製造商之间的伙伴关係可能会在塑造这个市场方面发挥关键作用,从而引发全球运输和物流行业的重大变化。
Autonomous Truck Market size was valued at USD 398.34 Billion in 2023 and is poised to grow from USD 458.09 Billion in 2024 to USD 1401.3 Billion by 2032, growing at a CAGR of 15% during the forecast period (2025-2032).
The global autonomous truck market is on an upward trajectory, fueled by technological advancements and substantial investments from industry leaders like Tesla, Waymo, and Volvo. This growth is primarily attributed to the promise of enhanced road safety, increased operational efficiency, and lower costs. Autonomous trucks, equipped with capabilities such as platooning and self-driving technology, are set to revolutionize long-haul logistics. Nonetheless, the market faces challenges, including regulatory issues, societal acceptance, and the need for further technological refinement. As the industry progresses, partnerships between technology firms and conventional manufacturers will likely play a crucial role in shaping this market, heralding a significant transformation in the transportation and logistics sectors worldwide.
Top-down and bottom-up approaches were used to estimate and validate the size of the Autonomous Truck market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Autonomous Truck Market Segmental Analysis
Global Autonomous Truck Market is segmented by adas feature, Level of Automation, propulsion type, sensor type, truck class, application and region. Based on ADAS Feature, the market is segmented into adaptive cruise control (ACC), automatic emergency braking (AEB), blind spot detection (BSD), intelligent park assist (IPA), lane keep assist (LKA), traffic jam assist (TJA) and highway pilot (HP). Based on Level of Automation, the market is segmented into level 1, level 2 & 3, level 4 and level 5. Based on propulsion type, the market is segmented into diesel, electric and hybrid. Based on sensor type, the market is segmented into camera, radar, lidar and ultrasonic. Based on truck class, the market is segmented into class 1-class 3 (light-duty truck), class 4-class 6 (medium-duty truck) and class 7 & class 8. Based on application, the market is segmented into last mile delivery truck and mining truck. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Autonomous Truck Market
The growth of the autonomous truck market is significantly driven by advancements in artificial intelligence and related technologies. Innovations in AI, machine learning, sensor systems, and connectivity have made it possible for autonomous trucks to effectively interpret their environments, execute real-time decision-making, and maneuver through intricate landscapes with minimal or no human input. This technological evolution not only enhances operational efficiency but also improves safety and reduces operational costs, making autonomous trucks an appealing option for logistics and transportation companies. As these technologies continue to evolve, their integration into the trucking industry is poised to transform the dynamics of freight transport.
Restraints in the Autonomous Truck Market
The autonomous truck market faces significant restraints due to intricate legal challenges. The implementation of these vehicles is hindered by diverse regulatory landscapes across various regions and countries, each having its own set of regulations governing the operation of autonomous vehicles on public thoroughfares. Complications regarding liability, insurance, safety standards, and overarching legal structures add further complexity to the situation. These factors contribute to the slower-than-anticipated adoption of autonomous trucks, as stakeholders navigate the complex interplay of legal requirements and seek clarity in an evolving regulatory environment. As such, these legal hurdles remain a substantial barrier to market advancement.
Market Trends of the Autonomous Truck Market
The global autonomous truck market is experiencing rapid growth fueled by advancements in smart technologies and a strong push towards sustainable transportation. As logistics companies seek to enhance efficiency and reduce operational costs, there is a growing demand for autonomous solutions that promise reduced fuel consumption and improved safety metrics. Incorporating Internet of Things (IoT) capabilities enables real-time data analytics and fleet management, further driving the sector's evolution. Regulatory pressures for reduced emissions and heightened environmental consciousness among consumers are also pivotal in shaping market dynamics, positioning autonomous trucks as key players in the future of eco-friendly logistics and supply chain management.