Press release
Heavy-Duty Autonomous Vehicle Market Gearing Up for Change: The Rise of the Heavy-Duty Autonomous Vehicle Market
Heavy-Duty Autonomous Vehicle Market worth $988.57 Bn by 2031 - Exclusive Report by InsightAce Analytic Pvt. Ltd.InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global Heavy-Duty Autonomous Vehicle Market- (By Application (Logistics, Public Transportation, Construction and Mining, Others), By Propulsion Type (Internal Combustion Engine Vehicles, Electric Vehicles), By Vehicle Type (Heavy Trucks, Heavy Buses, Roboshuttles), By Level of Autonomy (Fully Autonomous Vehicles, Semi-Autonomous Vehicles), By Sensor Type (LiDAR, RADAR, Camera, Others)) Trends, Industry Competition Analysis, Revenue and Forecast To 2031."
According to the latest research by InsightAce Analytic, the Global Heavy-Duty Autonomous Vehicle Market is valued at US$ 133.10 Bn in 2022, and it is expected to reach US$ 988.57 Bn by 2031, with a CAGR of 25.1% during a forecast period of 2024-2031.
Get a free sample copy of the report: https://www.insightaceanalytic.com/request-sample/1974
Heavy-Duty Autonomous Vehicles: Transforming Work in Challenging Environments
Heavy-duty autonomous vehicles (HAVs) are revolutionizing how we handle freight and navigate demanding environments. These self-driving vehicles are specially designed to carry heavy loads and maneuver through challenging terrains like mines and construction sites.
Technology Powering Innovation:
HAVs utilize a sophisticated suite of technologies to operate:
• LiDAR Sensors: These sensors generate high-resolution 3D maps of the surroundings, enabling precise navigation.
• GPS: Global Positioning Systems provide accurate location data, crucial for route planning and obstacle avoidance.
• Complex Algorithms: Advanced algorithms process sensor data to make real-time decisions, ensuring safe and efficient operation.
Benefits of HAVs:
• Increased Productivity and Efficiency: HAVs can operate continuously with minimal human intervention, optimizing workflow and boosting overall productivity.
• Reduced Labor Expenses: Automation with HAVs can minimize reliance on human labor, potentially lowering operational costs in the long run.
• Enhanced Safety: HAVs can be programmed to prioritize safety protocols, potentially reducing workplace accidents.
The Future of Heavy-Duty Transportation
HAVs hold immense potential to transform various industries by offering safer, more efficient, and cost-effective transportation solutions in challenging environments.
This revised version clarifies the functionalities of HAVs, highlights the key technologies involved, and emphasizes the potential benefits for productivity, safety, and cost reduction.
List of Prominent Players in the Heavy-Duty Autonomous Vehicle Market:
• TuSimple
• Torc Robotics
• Aurora Innovation Inc.
• PlusAI, Inc.
• Waymo LLC
• Mobileye
• AB Volvo
• General Motors
• Mercedes-Benz Group AG
• BMW Group
• Volkswagen AG
• PACCAR Inc.
• Renault Trucks
• Traton Group
• Shanghai Newrizon Technology Co., Ltd.
• New Flyer (NFI Group)
• Karsan
• Proterra
• 2getthere B.V.
• Apollo (Baidu)
• Magna International Inc.
• ZF Friedrichshafen AG
• Zoox, Inc.
• Cruise LLC
• Schaeffler AG
• P3 Mobility
• HOLON GmbH
• Embark Trucks Inc.
• Kodiak Robotics, Inc.
Market Dynamics:
Drivers-
The integration of autonomous cars in public transport is being supported by rising R&D spending as well as the global development of a number of autonomous software and hardware technologies. Buses can transport passengers without the need for a driver thanks to the application of artificial intelligence (AI),
cameras, sensors, and GPS technology. With significant investments in the automotive industry for research and development, Europe is at the forefront of the world in adopting autonomous buses for public transportation. The automotive industry in the area invested around $64 billion for FY2020, placing it in first place among the top 10 industrial sectors in the European Union (EU), according to a report from the European Automobile Manufacturers' Association (ACEA) that was published in April 2022.
Challenges:
The expansion of the World market is hampered by issues like growing component and raw material prices, a shift in the end-use market from developed to emerging nations, and skyrocketing production costs. The lack of industry-wide uniform testing methods and sensor certification standards is another problem facing autonomous technology and components. Companies have continued to struggle with accuracy and performance assurance due to the lack of standardised testing standards for advanced hardware and software technologies, with many relying on internal testing protocols.
Furthermore, the impact on end-user prices is increased by the rising logistical costs of shipping hardware components across international borders. The expenses of technology development for some components are also higher, which adds another level of expense to the pricing of components. Any sector or company that uses level 4 and higher technology sensors in the production of its value chain has additional challenges due to pricing variations.
The influence of uncertainty on fully autonomous vehicle sensor values is amplified in times of market volatility, highlighting that sharp spikes in market volatility lead to market breakdowns for heavy-duty autonomous vehicles.
Regional Trends:
It is projected that the area in North America will dominate the market. The government's encouragement for the use of autonomous driving technologies, the rising demand for transport in the area's quickly expanding economy, and a firmly established manufacturing sector all contribute to this. Additionally, as heavy-duty vehicles are needed in sectors like mining, construction, logistics, and transportation to deliver materials and cargo, the demand for autonomous trucks in the area is anticipated to be highest in these sectors.
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Recent Developments:
• In June 2023, GM is investing over $1 billion in Michigan factories to increase the production of heavy-duty trucks. Since 2013, GM has committed more than $30 billion to manufacturing and parts distribution facilities in the United States, according to its most recent announcement.
• In September 2021, Volvo Autonomous Solutions and Aurora reached a new milestone in their partnership to develop autonomous on-road vehicles in the United States. Long-haul VNL model, A prototype of Volvo Trucks' flagship, equipped with Aurora Driver technology, has been unveiled, marking a significant step toward the commercialisation of entirely autonomous Class 8 trucks in North America.
Segmentation of Heavy-Duty Autonomous Vehicle Market-
By Application-
• Logistics
• Public Transportation
• Construction and Mining
• Others
By Propulsion Type -
• Internal Combustion Engine Vehicles
• Electric Vehicles
o Battery Electric Vehicles (BEV)
o Plug-in Hybrid Electric Vehicles (PHEV)
o Hybrid Electric Vehicles (HEV)
By Vehicle Type -
• Heavy Trucks
• Heavy Buses
• Roboshuttles
By Level of Autonomy-
• Fully Autonomous Vehicles
• Semi-Autonomous Vehicles
By Sensor Type-
• LiDAR
• RADAR
• Camera
• Others
By Region-
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa
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About Us:
InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions.
Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses.
We help clients gain a competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets, and repositioning products.
Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.
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