Autonomous Trucks

Global Autonomous Trucks Market to Reach US$1.5 Billion by 2030

The global market for Autonomous Trucks estimated at US$483.3 Million in the year 2024, is expected to reach US$1.5 Billion by 2030, growing at a CAGR of 20.3% over the analysis period 2024-2030.

The U.S. Market is Estimated at US$135.5 Million While China is Forecast to Grow at 19.1% CAGR

The Autonomous Trucks market in the U.S. is estimated at US$135.5 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$218.5 Million by the year 2030 trailing a CAGR of 19.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.0% and 17.0% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 13.8% CAGR.

Global Autonomous Trucks Market - Key Trends and Drivers Summarized

What Is Driving the Adoption of Autonomous Trucks in the Logistics Sector?

Autonomous trucks are emerging as a transformative solution in the logistics and transportation industry, promising enhanced safety, efficiency, and cost savings. These self-driving trucks use advanced technologies such as artificial intelligence (AI), machine learning, sensors, cameras, radar, and LiDAR systems to navigate and operate without human intervention. The growing need to address driver shortages, reduce operational costs, and increase the reliability of freight transport is driving the adoption of autonomous trucks. Companies are increasingly investing in autonomous trucking technologies to streamline logistics operations, reduce fuel consumption, and optimize route planning. The ability of autonomous trucks to operate continuously without breaks is particularly advantageous for long-haul freight transportation, making them a viable solution for improving supply chain efficiency.

How Are Technological Advancements Shaping the Autonomous Truck Market?

Technological advancements are playing a critical role in shaping the future of autonomous trucks, making them safer, more efficient, and adaptable to various road conditions. Innovations in AI and machine learning are enhancing the decision-making capabilities of autonomous trucks, allowing them to interpret complex traffic situations and respond accordingly. The development of vehicle-to-everything (V2X) communication systems is enabling trucks to communicate with other vehicles, traffic signals, and infrastructure, improving situational awareness and safety. Furthermore, the integration of advanced driver-assistance systems (ADAS), such as adaptive cruise control, lane-keeping assistance, and automated emergency braking, is providing a foundation for higher levels of autonomy. The emergence of electric and hydrogen-powered autonomous trucks is also expanding the market potential by aligning with the growing emphasis on sustainability and reducing carbon emissions in transportation.

Which Market Segments Are Leading the Adoption of Autonomous Trucks?

The autonomous truck market is segmented by type, component, application, and region. Types of autonomous trucks include fully autonomous and semi-autonomous trucks, with semi-autonomous trucks currently dominating the market due to regulatory constraints and the need for gradual adoption. Key components of autonomous trucks include hardware (sensors, cameras, LiDAR, radar) and software (AI algorithms, data analytics, fleet management systems), with software solutions gaining traction due to their role in decision-making and route optimization. Applications of autonomous trucks span long-haul freight, last-mile delivery, mining, agriculture, and construction, with long-haul freight being the largest segment due to the need for efficiency in cross-country and inter-state transportation. Geographically, North America and Europe lead the market for autonomous trucks due to high investments in R&D, favorable regulatory frameworks, and the presence of major technology providers, while Asia-Pacific is emerging as a high-growth region driven by rapid industrialization and increasing demand for automation in logistics.

What Are the Key Drivers of Growth in the Autonomous Truck Market?

The growth in the autonomous truck market is driven by several factors, including advancements in AI and machine learning, the increasing need to address driver shortages, and the rising focus on reducing operational costs and enhancing logistics efficiency. The development of autonomous trucking technologies with enhanced safety features, real-time data analytics, and route optimization capabilities is driving their adoption in long-haul freight and supply chain operations. The growing emphasis on sustainability and the transition towards electric and hydrogen-powered autonomous trucks is expanding the market reach among logistics companies and fleet operators. The focus on developing robust cybersecurity solutions to address safety concerns and ensure compliance with global standards is creating new opportunities for innovation and market growth. Additionally, the rising number of strategic partnerships and collaborations among automakers, technology firms, and logistics providers is further supporting market expansion.

SCOPE OF STUDY:

The report analyzes the Autonomous Trucks market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Segment (Autonomous Trucks)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 44 Featured) -

• Hermes Robotics
• KAMAZ PTC
• MARS Auto
• NVIDIA Corporation
• Plus.ai
• QuickLoadz
• Siemens AG
• TomTom International BV
• Uber Freight LLC
• Uber Technologies, Inc.

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TARIFF IMPACT FACTOR

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