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ADAS 自動駕駛車

重型自動駕駛汽車市場 - 全球和區域分析：按應用、推進系統、車輛類型、自動駕駛水平、感測器類型和區域 - 分析和預測（2024-2033 年）

市場調查報告書

商品編碼

1658639

重型自動駕駛汽車市場 - 全球和區域分析：按應用、推進系統、車輛類型、自動駕駛水平、感測器類型和區域 - 分析和預測（2024-2033 年）

Heavy-Duty Autonomous Vehicle Market - A Global and Regional Analysis: Focus on Application, Propulsion, Vehicle Type, Level of Autonomy, Sensor Type, and Region - Analysis and Forecast, 2024-2033

出版日期: 2025年02月20日 | 出版商:

BIS Research | 英文 254 Pages | 商品交期: 1-5個工作天內

價格

簡介目錄

受物流、採礦和建築行業自動化程度不斷提高的推動，重型自動駕駛汽車 (HDAV) 市場正在快速成長。

預計 2024 年市場規模為 1,735 億美元，預計到 2033 年將達到 1.99 兆美元，在現實情況下的複合年成長率為 31.18%。推動這一擴張的關鍵因素包括人工智慧、機器人和物聯網的進步，以及對高效、經濟和永續的運輸解決方案日益成長的需求。自動駕駛卡車正在最佳化貨運業務、降低燃料消耗並解決駕駛員短缺問題。世界各國政府也正在推出法規結構和獎勵，以鼓勵採用自動駕駛技術，進一步加速市場發展。

主要市場統計數據
預測期	2024-2033
2024 年評估	1,735億美元
2033 年預測	19,955.80億美元
複合年成長率	31.18％

重型自動駕駛汽車 (HDAV) 市場受到人工智慧 (AI)、機器學習和自動化技術的進步的推動，使得這些車輛能夠在最少的人為干預下運作。這些車輛將與感測器、物聯網設備和預測分析相結合，以提高安全性、降低營運成本並提高物流、公共交通、建築和農業等行業的效率。市場分為半自動（SAE 1-2 級）和全自動（SAE 3-5 級），成長是由對自動化、環境永續性和技術創新的不斷成長的需求所推動的。

在自動化、人工智慧和連接技術進步的推動下，重型自動駕駛汽車市場正在經歷顯著成長。目前，市場受到物流、公共運輸和工業應用效率不斷成長的需求的推動。各公司正大力投資研發，以使車輛更安全、更自動化、運作更具成本效益。在監管支援、電動和混合動力自動駕駛汽車的日益普及以及先進感測器技術的整合的推動下，市場預計將在預測期內（2024-2033 年）迅速擴張。然而，高昂的初始投資成本和網路安全風險等挑戰可能會影響成長。儘管存在這些障礙，但隨著自動駕駛卡車、巴士和工業車輛成為主流，該行業有望徹底改變交通運輸。

重型自動駕駛汽車（HDAV）對工業的影響將是深遠的，特別是在物流、採礦和建築領域。這些車輛將減少對勞動力的依賴，緩解駕駛員短缺問題，並確保全天候連續營運，從而提高業務效率。Caterpillar和日本小松公司等公司的自動化採礦卡車顯著提高了安全性、成本效益和生產率，其中Caterpillar報告生產率提高了 30%。物流業將受惠於省油的駕駛演算法，降低高達5%的營運成本，同時減少二氧化碳排放。此外，歐盟的 4 級自動駕駛核准和中國的積極測試等監管方面的進步正在加速行業的採用。然而，初始成本高、網路安全風險和基礎設施限制等挑戰仍然是廣泛採用的障礙。

本報告研究了全球重型自動駕駛汽車市場，並概述了市場狀況以及應用、推進功率、車輛類型、自動駕駛水平、感測器類型、地區和市場參與者概況等趨勢。

未來展望
地理評估
公司簡介
- AB Volvo
- BMW Group
- General Motors
- PACCAR Inc.
- Renault Trucks
- Traton Group
- New Flyer (NFI Group)
- Karsan
- Zoox, Inc.
- Embark Trucks Inc.
- TuSimple
- Waymo LLC
- Daimler Truck AG
- Navya ARMA
- EasyMile
- Einride
- Oxa Autonomy Limited
- Waabi
- Gatik Inc.
- Shanghai Newrizon Technology Co., Ltd.
- Kodiak Robotics, Inc.
- Torc Robotics
- Mobileye
- ZF Friedrichshafen AG
- Schaeffler AG
- HOLON GmbH
- Aurora Innovation Inc.
- PlusAI, Inc.

調查方法

簡介目錄

Product Code: AMA1384SB

Heavy-Duty Autonomous Vehicle Market Overview

The heavy-duty autonomous vehicle (HDAV) market has been experiencing rapid growth, driven by increased automation in logistics, mining, and construction. The market size in 2024 was estimated at $173.5 billion and is projected to reach $1.99 trillion by 2033, with a CAGR of 31.18% under a realistic scenario. Key factors fueling this expansion include advancements in AI, robotics, and IoT, alongside the growing need for efficient, cost-effective, and sustainable transport solutions. Autonomous trucks are optimizing freight operations, reducing fuel consumption, and addressing driver shortages. Governments are also implementing regulatory frameworks and incentives to promote autonomous technology adoption, further accelerating the market's evolution.

Introduction of Heavy-Duty Autonomous Vehicle

KEY MARKET STATISTICS
Forecast Period	2024 - 2033
2024 Evaluation	$173.5 Billion
2033 Forecast	$1995.58 Billion
CAGR	31.18%

The heavy-duty autonomous vehicle (HDAV) market is driven by advancements in artificial intelligence (AI), machine learning, and automation, enabling these vehicles to operate with minimal human intervention. These vehicles are integrated with sensors, IoT devices, and predictive analytics, enhancing safety, reducing operational costs, and improving efficiency across industries such as logistics, public transportation, construction, and agriculture. The market is segmented into semi-autonomous (SAE Level 1-2) and fully autonomous (SAE Level 3-5) vehicles, with growth being propelled by increasing demand for automation, environmental sustainability, and technological innovation.

Market Introduction

The heavy-duty autonomous vehicle market has been witnessing significant growth due to advancements in automation, artificial intelligence, and connectivity technologies. The market is currently driven by increasing demand for efficiency in logistics, public transportation, and industrial applications. Companies are investing heavily in R&D to enhance vehicle safety, autonomy, and operational cost efficiency. Over the forecast period (2024-2033), the market is expected to expand rapidly, propelled by regulatory support, increased adoption of electric and hybrid autonomous vehicles, and integration of advanced sensor technologies. However, challenges such as high initial investment costs and cybersecurity risks may impact growth. Despite these hurdles, the industry is set to revolutionize transportation, with autonomous trucks, buses, and industrial vehicles becoming more mainstream.

Industrial Impact

The industrial impact of heavy-duty autonomous vehicles (HDAVs) is profound, particularly in logistics, mining, and construction. These vehicles enhance operational efficiency by reducing labor dependency, mitigating driver shortages, and ensuring continuous, 24/7 operations. Autonomous mining trucks from companies such as Caterpillar and Komatsu have significantly improved safety, cost-efficiency, and productivity, with Caterpillar reporting a 30% increase in productivity. The logistics sector benefits from fuel-efficient driving algorithms, reducing operational costs by up to 5% while lowering carbon emissions. Additionally, regulatory advancements, such as Level 4 autonomy approvals in the EU and proactive testing in China, have accelerated industry adoption. However, challenges such as high initial costs, cybersecurity risks, and infrastructure limitations remain barriers to full-scale implementation.

Market Segmentation

Segmentation 1: by Application

Logistics
Public Transportation
Construction and Mining
Others

Logistics Segment to Dominate the Heavy-Duty Autonomous Vehicle Market (by Application)

The logistics sector is the dominant application for heavy-duty autonomous vehicles. The rising demand for efficiency, cost reduction, and 24/7 operations in supply chains has accelerated the adoption of autonomous trucks. These vehicles significantly lower freight costs, enhance route planning and improve overall delivery times. Additionally, the growth of e-commerce has fueled the need for scalable and cost-effective transportation solutions.

Segmentation 2: Global Conventional Heavy-Duty Vehicle Market (by Application)

Construction and Mining
Public Transport
Agriculture
Freight And Logistics
Others

Segmentation 3: by Propulsion Type

Internal Combustion Engine (ICE) Vehicles
Electric Vehicles (EVs)
- Battery Electric Vehicle (BEV)
- Plug-in Hybrid Electric Vehicle (PHEV)
- Hybrid Electric Vehicle (HEV)

Internal Combustion Engine (ICE) Vehicles to Dominate the Heavy-Duty Autonomous Vehicle Market (by Propulsion Type)

Despite the global shift toward electrification, internal combustion engine (ICE) vehicles remain the dominant propulsion type in the heavy-duty autonomous vehicle market. The well-established refueling infrastructure, superior range, and high payload capacity make ICE-powered autonomous trucks the preferred choice for long-haul transportation and industries such as mining and construction. However, manufacturers are introducing hybrid models and fuel-efficient technologies to comply with strict emission regulations.

Segmentation 4: by Vehicle Type

Heavy Trucks
Heavy Buses
Robo Shuttles

Heavy Trucks to Dominate the Heavy-Duty Autonomous Vehicle Market (by Vehicle Type)

Among vehicle types, heavy trucks lead the market due to their widespread use in logistics, mining, and industrial applications. The shift toward automation in trucking addresses challenges such as labor shortages, high operational costs, and safety concerns. Autonomous heavy trucks operate continuously without breaks, reducing fuel consumption and increasing delivery efficiency. Companies such as Waymo, TuSimple, and Daimler Truck AG are at the forefront of autonomous heavy truck deployment.

Segmentation 5: by Level of Autonomy

Semi-Autonomous Vehicles
Autonomous Vehicles

Semi-Autonomous Vehicles to Dominate the Heavy-Duty Autonomous Vehicle Market (by Level of Autonomy)

Semi-autonomous heavy-duty vehicles (SAE Level 1 and 2) are currently leading the market. To enhance safety and efficiency, these vehicles integrate advanced driver assistance systems (ADAS), including lane-keeping, adaptive cruise control, and emergency braking. The gradual transition to full autonomy is driven by regulatory challenges, infrastructure limitations, and public trust concerns. However, semi-autonomous trucks serve as a bridge to fully autonomous fleets, improving productivity while maintaining human oversight.

Segmentation 6: by Sensor Type

LiDAR
RADAR
Camera
Others

LiDAR to Dominate the Heavy-Duty Autonomous Vehicle Market (by Sensor Type)

Light detection and ranging (LiDAR) technology is the leading sensor type in autonomous heavy-duty vehicles. Its high accuracy in depth perception, object detection, and environmental mapping makes it critical for safe autonomous operation. LiDAR sensors enable vehicles to navigate complex traffic conditions, detect obstacles in real-time, and operate in low-visibility environments. Major industry players, including Mobileye and Waymo, are investing heavily in LiDAR-based perception systems.

Segmentation 7: Global Conventional Heavy-Duty Vehicle Market (by Vehicle Type)

Heavy Trucks
Heavy Buses

Segmentation 8: by Region

North America (U.S., Canada, Mexico)
Europe (Germany, France, U.K., Italy, Rest-of-Europe)
Asia-Pacific (China, Japan, India, South Korea, Rest-of-Asia-Pacific)
Rest-of-the-World (RoW)

North America to Dominate the Heavy-Duty Autonomous Vehicle Market (by Region)

North America is the leading region in the heavy-duty autonomous vehicle market, driven by strong technological advancements, regulatory support, and major industry players. The U.S. is in charge of companies such as Tesla, Waymo, TuSimple, and Daimler Truck AG, which are investing heavily in autonomous trucking, logistics automation, and AI-driven fleet management. The region's well-established highway infrastructure and growing demand for freight efficiency have accelerated the deployment of self-driving trucks, particularly in long-haul logistics. Additionally, favorable government policies, including regulatory approvals for autonomous vehicle testing and commercial operations, have positioned North America at the forefront of market growth. As adoption increases, the region is expected to drive further innovation and large-scale commercialization of autonomous heavy-duty vehicles.

Recent Developments in the Heavy-Duty Autonomous Vehicle Market

Aurora Innovation announced plans to operate driverless semi-trucks between Dallas and Houston by the end of 2024. This initiative addresses driver shortages, improves transportation efficiency, and reduces delivery times.
In July 2024, Vayu Robotics introduced Vayu One, an AI-powered, self-driving delivery vehicle capable of navigating without pre-mapping. The six-foot-long robot can travel at 20 miles per hour and carry up to 100 pounds, offering a scalable and cost-effective solution for goods transport.
In July 2024, AB Volvo unveiled a new fleet of autonomous loaders and articulated haulers designed for complex construction tasks. These vehicles feature advanced operational control systems, adapting to varied terrain and weather conditions.
In September 2024, Caterpillar launched its next-gen autonomous drill rigs with enhanced data analytics capabilities. The rigs are designed to optimize mining operations by reducing material waste and improving drilling precision.
In January 2024, Waymo completed autonomous trials of its Freightliner Cascadia trucks, covering over 700 miles between California and Nevada with no human intervention. The trials demonstrated the efficiency and reliability of autonomous trucking in long-haul freight.

Demand - Drivers, Limitations, and Opportunities

Market Demand Drivers: Escalating Transportation Costs

The rising costs associated with transportation are becoming a critical driver for the adoption of heavy-duty autonomous vehicles. Key contributors to escalating transportation costs include increasing fuel prices, labor shortages leading to higher wages for drivers, maintenance expenses for aging fleets, and the impact of stringent regulatory requirements. These factors are pushing industries to seek more efficient and cost-effective solutions, positioning autonomous vehicles as a viable alternative.

Fuel prices, a major cost component in transportation, have been volatile, with global events such as geopolitical tensions and supply chain disruptions driving spikes in fuel costs. Autonomous vehicles can help optimize fuel efficiency through advanced algorithms that ensure optimal driving patterns, significantly reducing fuel consumption. For instance, autonomous trucks developed by Inceptio Technology have demonstrated fuel savings of 3-5% compared to traditional vehicles through their fuel-efficient driving algorithms.

Market Challenges: Heightened Risk of Cyberattacks

The growing reliance on advanced technology and connectivity in heavy-duty autonomous vehicles introduces a significant vulnerability to cyberattacks, posing a critical market restraint. Autonomous vehicles operate using sophisticated networks of sensors, software systems, and vehicle-to-everything (V2X) communication, all of which are potential targets for malicious actors. These attacks compromise operational efficiency and raise serious concerns about safety, privacy, and public trust in autonomous technology. One of the most pressing risks is the potential for hackers to take control of vehicle operations through system breaches. This could lead to dangerous scenarios, such as unauthorized control over braking, steering, or acceleration, endangering lives and disrupting supply chains.

Market Opportunities: Delivering Higher Levels of Automation

The drive to achieve higher levels of automation presents a significant opportunity in the heavy-duty autonomous vehicle market. As industries such as logistics, construction, mining, and public transportation seek to optimize operations, autonomous vehicles capable of advanced automation are emerging as transformative solutions. Higher levels of automation, particularly Levels 4 and 5, reduce the reliance on human intervention, enabling vehicles to operate efficiently, safely, and continuously in various environments.

In the logistics sector, the adoption of higher automation levels addresses critical challenges, including rising transportation costs and driver shortages. Fully automated trucks can operate around the clock without the need for rest breaks, maximizing fleet utilization and improving delivery times. For instance, companies such as Waymo and TuSimple have been piloting Level 4 autonomous trucking solutions that handle long-haul routes with minimal human input. These advancements enhance operational efficiency and significantly lower costs by reducing driver-related expenses and optimizing fuel consumption through intelligent driving systems.

How can this Report add value to an Organization?

This report adds value to an organization by providing in-depth insights into the global heavy-duty autonomous vehicle (HDAV) market, enabling data-driven decision-making and strategic growth planning. It highlights key market trends, technological innovations, and competitive dynamics, helping businesses identify emerging opportunities and potential challenges. The report's detailed segmentation by application, propulsion type, vehicle type, level of autonomy, and region allows organizations to target specific markets and optimize their business strategies. Additionally, its coverage of regulatory frameworks, sustainability initiatives, and cybersecurity concerns ensures companies stay compliant with evolving autonomous vehicle policies and safety standards. By leveraging this report, organizations can enhance operational efficiency, make informed investment decisions in automation and AI-driven logistics, and gain a competitive edge in the rapidly transforming heavy-duty transportation sector, ensuring long-term growth and industry leadership.

Research Methodology

Factors for Data Prediction and Modelling:

The base currency considered for the market analysis is US$. Currencies other than the US$ have been converted to the US$ for all statistical calculations, considering the average conversion rate for that particular year.
The currency conversion rate was taken from the historical exchange rate on the Oanda website.
Nearly all the recent developments from January 2021 to November 2024 have been considered in this research study.
The information rendered in the report is a result of in-depth primary interviews, surveys, and secondary analysis.
Where relevant information was not available, proxy indicators and extrapolation were employed.
Any economic downturn in the future has not been taken into consideration for the market estimation and forecast.
Technologies currently used are expected to persist through the forecast with no major technological breakthroughs.

Market Estimation and Forecast

This research study involves the usage of extensive secondary sources, such as certified publications, articles from recognized authors, white papers, annual reports of companies, directories, and major databases to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the heavy-duty autonomous vehicle market.

The market engineering process involves the calculation of the market statistics, market size estimation, market forecast, market crackdown, and data triangulation (the methodology for such quantitative data processes is explained in further sections). The primary research study has been undertaken to gather information and validate the market numbers for segmentation types and industry trends of the key players in the market.

Primary Research

The primary sources involve industry experts from the heavy-duty autonomous vehicle market and various stakeholders in the ecosystem. Respondents such as CEOs, vice presidents, marketing directors, and technology and innovation directors have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.

The key data points taken from primary sources include:

validation and triangulation of all the numbers and graphs
validation of reports segmentation and key qualitative findings
understanding the competitive landscape
validation of the numbers of various markets for market type
percentage split of individual markets for geographical analysis

Secondary Research

This research study involves the usage of extensive secondary research, directories, company websites, and annual reports. It also makes use of databases, such as Hoovers, Bloomberg, Businessweek, and Factiva, to collect useful and effective information for an extensive, technical, market-oriented, and commercial study of the global market. In addition to the data sources, the study has been undertaken with the help of other data sources and websites, such as the Census Bureau, OICA, and ACEA.

Secondary research was done to obtain crucial information about the industry's value chain, revenue models, the market's monetary chain, the total pool of key players, and the current and potential use cases and applications.

The key data points taken from secondary research include:

segmentations and percentage shares
data for market value
key industry trends of the top players of the market
qualitative insights into various aspects of the market, key trends, and emerging areas of innovation
quantitative data for mathematical and statistical calculations

Key Market Players and Competition Synopsis

The companies that are profiled in the heavy-duty autonomous vehicle market have been selected based on inputs gathered from primary experts who have analyzed company coverage, product portfolio, and market penetration.

Some of the prominent names in this market are: