![]() |
市場調查報告書
商品編碼
1818016
2032 年自動駕駛卡車市場預測:按卡車類型、自動化程度、零件、推進系統、應用、最終用戶和地區進行的全球分析Automated Truck Market Forecasts to 2032 - Global Analysis By Truck Type (Light-duty Trucks, Medium-duty Trucks and Heavy-duty Trucks), Level of Automation, Component, Propulsion, Application, End User and By Geography |
根據 Stratistics MRC 的數據,全球自動駕駛卡車市場預計在 2025 年達到 444 億美元,到 2032 年將達到 1,019 億美元,預測期內的複合年成長率為 12.60%。
自動駕駛卡車,也稱為無人駕駛卡車,是一種技術先進的商用車輛,幾乎無需人工干預即可運行。這些卡車結合使用感測器、攝影機、雷達、LiDAR、人工智慧和 GPS 系統來感知周圍環境、導航道路、偵測障礙物並做出駕駛決策。自動駕駛卡車旨在提高安全性、減少人為錯誤、提高燃油效率並最佳化物流運作。自動駕駛卡車可以採用從輔助駕駛到完全自動駕駛等不同級別的自動化運行,從而徹底改變貨運和物流行業的未來。
卡車司機嚴重短缺,人事費用上升
自動駕駛系統正被用來處理遠距或重複路線,從而減少對人力的依賴。人工智慧最佳化正在提高配送速度和燃油效率。電子商務的成長推動了對可擴展交通基礎設施的需求。對自動駕駛車隊的投資有助於緩解勞動力波動。這些趨勢正在提升貨運自動化的策略價值。
監管碎片化和不確定性
不同的安全通訊協定、測試程序和責任框架阻礙了跨境可擴展性。監管的不確定性減緩了原始設備製造商的投資和試點擴展。許多市場的公共道路通行和保險覆蓋問題仍未解決。中小企業在複雜的核准流程中面臨障礙。這些問題阻礙了技術的採用和生態系統的發展。
提高營運效率並降低成本
預測性維護和即時監控可提高運作和資產績效。與數位平台整合可簡化路線規劃和調度。自主系統可最大限度地減少人為錯誤並提高安全性。車隊營運商可實現更好的成本控制和交付可靠性。這些優勢正在推動貨運密集型產業的採用。
勞動力流動與勞工抵抗
對技能重複和經濟影響的擔憂正在影響監管決策。公眾情緒正在左右試行核准和部署策略。缺乏結構化的技能再培訓計畫使相關人員的參與變得複雜。企業必須在技術創新與社會責任之間取得平衡。這些動態帶來了聲譽和政策風險。
新冠疫情對自動駕駛卡車市場產生了多重影響。供應鏈中斷和生產停頓最初導致生產放緩,部署延遲。然而,這場危機凸顯了非接觸式高效率物流的重要性,加速了人們對自動化的興趣。勞動力短缺和不斷成長的電商需求,鑑於自動駕駛卡車的彈性和安全性,刺激了其應用。儘管存在不確定性,但對研究和先導計畫的投資仍在增加。整體而言,疫情既是短期的抑制因素,也是長期的成長催化劑。
重型卡車市場預計將成為預測期內最大的市場
重型卡車細分市場預計將在預測期內佔據最大市場佔有率,這得益於其適合遠距貨運的自動駕駛。其高負載容量和高速公路適應性使其成為自動化的理想選擇。與ADAS和遠端資訊處理的整合正在提升安全性和效能。電氣化和模組化設計正在支援平台創新。監管部門對貨運效率的支持正在推動投資。由於其規模和基礎設施的整合,預計該細分市場將保持其優勢。
預計物流和貨運部門在預測期內將實現最高的複合年成長率。
受可擴展高效配送系統需求的推動,物流和貨運領域預計將在預測期內實現最高成長率。自動駕駛卡車正在簡化供應鏈,減少最後一哩路的延誤。倉庫自動化和與數位平台的整合正在提高吞吐量。電子商務的成長和都市區的擴張正在推動其應用。戰略合作夥伴關係正在加速跨網路部署。隨著自動化成為貨運運輸不可或缺的一部分,這一領域必將快速成長。
在預測期內,由於先進駕駛輔助系統 (ADAS) 的普及以及為支援自動駕駛而持續進行的基礎設施升級,北美預計將佔據最大的市場佔有率。領先的公司正專注於整合LiDAR、雷達和人工智慧舉措等技術,以提高安全性和效率。強力的政府法規和減少碳排放的措施正在推動車隊現代化。物流和電子商務行業正在推動對自動化中型和重型卡車的需求。科技公司與傳統卡車製造商之間的夥伴關係正在加速技術創新,先導計畫和實際部署正逐漸獲得運輸業者的認可。
預計亞太地區將在預測期內見證最高的複合年成長率,因為快速的工業化和不斷成長的貨運量是自動駕駛卡車市場的主要成長要素。各國正大力投資智慧高速公路和自動駕駛友善基礎設施,以適應下一代交通解決方案。該市場的特點是國內外參與者的混合,專注於適用於不同地形和交通條件的經濟高效的自動化技術。政府政策正在推動數位物流和自動化,以提高供應鏈效率。都市化的加速、電子商務的成長以及物流的現代化正在推動自動駕駛卡車的早期應用。合資企業和試點計畫正在積極塑造全部區域的市場動態。
According to Stratistics MRC, the Global Automated Truck Market is accounted for $44.4 billion in 2025 and is expected to reach $101.9 billion by 2032 growing at a CAGR of 12.60% during the forecast period. An automated truck, also known as a self-driving or autonomous truck, is a commercial vehicle equipped with advanced technologies that allow it to operate with little or no human intervention. These trucks use a combination of sensors, cameras, radar, LiDAR, artificial intelligence, and GPS systems to perceive their environment, navigate roads, detect obstacles, and make driving decisions. Automated trucks are designed to improve safety, reduce human error, enhance fuel efficiency, and optimize logistics operations. They can operate in different levels of automation, from driver-assist features to fully autonomous driving, revolutionizing freight transportation and the future of the logistics industry.
Severe truck driver shortages & rising labor costs
Autonomous systems are being deployed to handle long-haul and repetitive routes, reducing dependency on human labor. AI-driven optimization is improving delivery speed and fuel efficiency. E-commerce growth is amplifying demand for scalable transport infrastructure. Investments in autonomous fleets are helping mitigate labor volatility. These trends are reinforcing the strategic value of automation in freight operations.
Regulatory fragmentation & uncertainty
Differences in safety protocols, testing procedures, and liability frameworks hinder cross-border scalability. Regulatory ambiguity slows OEM investment and pilot expansion. Public road access and insurance coverage remain unresolved in many markets. Smaller firms face barriers in navigating complex approval processes. These issues are delaying widespread adoption and ecosystem development.
Enhanced operational efficiency & cost savings
Predictive maintenance and real-time monitoring are improving uptime and asset performance. Integration with digital platforms is streamlining routing and dispatch. Autonomous systems are minimizing human error and improving safety outcomes. Fleet operators are achieving better cost control and delivery reliability. These advantages are driving adoption across freight-intensive industries.
Workforce displacement & labor resistance
Concerns over skill redundancy and economic impact are influencing regulatory decisions. Public sentiment is shaping pilot approvals and deployment strategies. Absence of structured retraining programs is complicating stakeholder engagement. Companies are under pressure to balance innovation with social responsibility. These dynamics are introducing reputational and policy risks.
The Covid-19 pandemic had a mixed impact on the automated truck market. Supply chain disruptions and manufacturing halts initially slowed production and delayed deployments. However, the crisis highlighted the importance of contactless and efficient logistics, accelerating interest in automation. Labor shortages and rising demand for e-commerce fueled adoption, as automated trucks offered resilience and safety. Investments in research and pilot projects grew despite uncertainties. Overall, the pandemic acted as both a short-term restraint and a long-term growth catalyst.
The heavy-duty trucks segment is expected to be the largest during the forecast period
The heavy-duty trucks segment is expected to account for the largest market share during the forecast period due to their suitability for autonomous long-distance freight. High payload capacity and highway compatibility make them ideal for automation. Integration with ADAS and telematics is enhancing safety and performance. Electrification and modular design are supporting platform innovation. Regulatory support for freight efficiency is boosting investment. This segment will remain dominant due to scale and infrastructure alignment.
The logistics & freight transportation segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the logistics & freight transportation segment is predicted to witness the highest growth rate owing to demand for scalable and efficient delivery systems. Automated trucks are streamlining supply chains and reducing last-mile delays. Integration with warehouse automation and digital platforms is improving throughput. E-commerce growth and urban expansion are driving adoption. Strategic collaborations are accelerating deployment across networks. This segment is set for rapid growth as automation becomes integral to freight operations.
During the forecast period, the North America region is expected to hold the largest market share by the adoption of advanced driver assistance systems and ongoing infrastructure upgrades to support autonomous operations. Major players are focusing on technology integration, such as LiDAR, radar, and AI-powered navigation, to enhance safety and efficiency. Strong government regulations and initiatives for reducing carbon emissions are encouraging fleet modernization. The logistics and e-commerce sectors are fuelling demand for automated medium- and heavy-duty trucks. Partnerships between tech companies and traditional truck manufacturers are accelerating innovation, while pilot projects and real-world deployments are gradually increasing acceptance among transport operators.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid industrialization and expanding freight volumes are key growth factors for the automated truck market. Countries are investing heavily in smart highways and autonomous-friendly infrastructure to accommodate next-generation transportation solutions. The market is characterized by a mix of local and international players focusing on cost-effective automation technologies suitable for diverse terrains and traffic conditions. Government policies are promoting digital logistics and automation to improve supply chain efficiency. Rising urbanization, e-commerce growth, and logistics modernization are encouraging early adoption of automated trucks. Collaborative ventures and pilot programs are actively shaping market dynamics across the region.
Key players in the market
Some of the key players in Automated Truck Market include Daimler Truck AG, Volvo Group, PACCAR Inc., Tesla Inc., Aurora Innovation Inc., TuSimple Holdings Inc., Embark Trucks Inc., Kodiak Robotics Inc., PlusAI Inc., Einride AB, Waymo LLC, Hyundai Motor Company, Navistar International Corporation, Scania AB and MAN Truck & Bus SE.
In July 2025, Daimler Truck North America expanded its partnership with Aeva to scale production of 4D LiDAR sensors for autonomous Freightliner Cascadia trucks. The collaboration enables deployment of up to 200,000 units annually, supporting SAE Level 4 automation with high-resolution velocity and range detection.
In February 2025, Volvo Autonomous Solutions and Waabi announced plans to launch commercial pilots of the Volvo VNL Autonomous in Texas. The truck integrates Waabi's AV2.0 system and will be factory-built with embedded autonomy hardware, targeting full driverless deployment
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.