Internal Combustion Engine Self-Driving Car

Internal Combustion Engine Self-Driving Car Market Outlook

The global Internal Combustion Engine (ICE) Self-Driving Car market is anticipated to reach approximately USD 200 billion by 2035, growing at a compounded annual growth rate (CAGR) of around 15% during the forecast period of 2025 to 2035. This growth can be attributed to the increasing demand for advanced safety features in vehicles, rising investment in autonomous vehicle technologies by major automotive manufacturers, and regulatory support for autonomous driving initiatives across various regions. Moreover, the expansion of smart city infrastructure facilitates the integration of self-driving cars into urban environments. The growing trend of digitization in the automotive sector and consumer demand for enhanced transportation solutions are also significant contributors to this market's expansion.

Growth Factor of the Market

Several pivotal growth factors are propelling the Internal Combustion Engine Self-Driving Car market forward. First and foremost, the rapid advancement in artificial intelligence (AI) and machine learning technologies is enabling more sophisticated vehicle automation, making it feasible for vehicles to interpret and respond to their environment effectively. Additionally, the rising consumer preference for personal mobility solutions, along with the increasing urbanization and the consequent traffic congestion, is driving the demand for self-driving vehicles that can enhance mobility and reduce traffic-related issues. Moreover, government regulations advocating for road safety are pushing manufacturers to incorporate advanced driver-assistance systems (ADAS) that lay the groundwork for fully autonomous driving. The advent of connectivity features, including vehicle-to-everything (V2X) communication, is another crucial factor, as it allows self-driving cars to communicate with other vehicles and infrastructure to improve safety and efficiency. Lastly, the growing environmental concerns and the push for fuel-efficient vehicles are making ICE self-driving cars an attractive option, as they blend advanced technology with traditional engine performance.

Key Highlights of the Market

• The global market for ICE self-driving cars is projected to reach USD 200 billion by 2035.
• CAGR of approximately 15% during 2025 to 2035 reflects robust growth trends.
• The increasing consumer demand for advanced safety features is driving market expansion.
• Investment in AI and machine learning technologies fuels innovation in autonomous driving.
• Government regulations aimed at enhancing road safety are pushing manufacturers towards automation.

By Vehicle Type

Sedan:

Sedans represent one of the most popular vehicle types in the Internal Combustion Engine Self-Driving Car market. Their compact design makes them highly efficient for urban commuting, which is aligned with the growing demand for autonomous vehicles that can navigate crowded city streets. With advancements in sensor technology and AI-driven algorithms, sedans equipped with self-driving capabilities are becoming increasingly reliable in various driving conditions. Manufacturers are focusing on integrating sophisticated safety features and entertainment systems, enhancing the overall experience for drivers and passengers alike. The trend toward electric and hybrid sedans further complements the self-driving feature, allowing for an eco-friendly approach to autonomous driving.

SUV:

SUVs are rapidly gaining traction in the self-driving sector due to their versatility and spacious interiors, making them suitable for families and adventure seekers. The larger size of SUVs allows for more advanced safety features and technologies to be integrated within the vehicle, providing a commanding driving experience. As consumers seek out vehicles that offer both luxury and practicality, manufacturers are responding by developing self-driving SUVs equipped with comprehensive assistance systems. The combination of all-wheel drive capabilities and advanced autonomous features makes SUVs an appealing choice for many consumers, particularly in regions with diverse weather conditions and rugged terrains.

Hatchback:

Hatchbacks are increasingly being recognized for their agility and ease of maneuverability, particularly in urban environments, which is a key advantage for self-driving technology. The compact nature of hatchbacks allows for improved parking capabilities and navigation through tight spaces, making them a suitable choice for city dwellers. As manufacturers develop self-driving hatchbacks, they are focusing on making these vehicles not only technologically advanced but also affordable, thus appealing to younger consumers and first-time car buyers. The integration of smart features, such as automated parking and collision avoidance systems, enhances the practicality of hatchbacks as self-driving cars.

Pickup Truck:

Pickup trucks have carved out a unique niche within the Internal Combustion Engine Self-Driving Car market, particularly for commercial applications. The demand for self-driving pickup trucks is driven by their utility in various industries, such as construction, agriculture, and logistics. As these sectors increasingly adopt automation to enhance productivity, the availability of self-driving pickup trucks can enable businesses to streamline their operations. Features such as automated loading and unloading systems, along with advanced navigation capabilities for off-road conditions, are essential for the effective deployment of autonomous pickups. Manufacturers are working to ensure that these vehicles maintain their ruggedness while incorporating high-tech functionalities.

Commercial Vehicles:

The segment of commercial vehicles is poised for significant growth within the self-driving market, as automation can lead to substantial cost savings and efficiency improvements for businesses. Self-driving technology in commercial vehicles is particularly beneficial in areas such as logistics and freight transport, where the need for consistent operations and reduced labor costs are paramount. Companies are investing in research and development to create autonomous vehicles that can operate in various conditions while adhering to regulatory standards. The integration of telematics and fleet management systems can optimize route planning and enhance safety, making self-driving commercial vehicles a valuable asset for industries looking to modernize their operations.

By Component

Hardware:

The hardware segment comprises essential components that enable self-driving cars to operate autonomously. This includes sensors, cameras, radar, and computing units that process vast amounts of data in real time to help the vehicle understand its environment. The continuous advancements in sensor technology and miniaturization of components are significant factors driving this segment's growth. As manufacturers strive to enhance the reliability and accuracy of self-driving systems, investments in high-quality hardware are essential. The integration of more robust processing units that can handle complex algorithms is vital for the successful deployment of self-driving vehicles, particularly in dynamic driving scenarios.

Software:

Software plays a crucial role in the development and functionality of self-driving cars, as it encompasses the algorithms and systems that control vehicle behavior. This segment involves the use of AI and machine learning technologies to enable vehicles to learn from experience and adapt to changing environments. The growth in this area is driven by the demand for more sophisticated navigation systems, real-time decision-making capabilities, and improved safety features. As software continues to evolve, manufacturers are focusing on integrating cloud computing to facilitate updates and data processing, enhancing the overall efficiency and performance of autonomous vehicles.

Services:

The services segment includes various offerings that support the deployment and maintenance of self-driving vehicles. This encompasses integration services, technical support, and software updates that ensure vehicles remain functional and up-to-date with the latest technological advancements. As the market for self-driving cars grows, the demand for specialized services will increase, creating opportunities for companies to provide comprehensive solutions tailored to the needs of vehicle manufacturers and operators. Additionally, partnerships between automotive companies and tech firms are likely to drive innovation in service offerings, enhancing the customer experience and ensuring successful implementation of autonomous technologies.

By Level of Autonomy

Level 1:

Level 1 autonomy represents the most basic level of self-driving capabilities, where the vehicle can control either steering or acceleration/deceleration, but not both simultaneously. This level relies heavily on the driver's input and awareness, as the autonomous features serve primarily as assistance tools. The market for Level 1 vehicles is significant, as many existing vehicles are equipped with such features, including adaptive cruise control and lane-keeping assistance. As consumers become more comfortable with these technologies, they may gradually shift towards higher levels of autonomy in the future.

Level 2:

Level 2 vehicles can manage both steering and acceleration/deceleration simultaneously under certain conditions, allowing for more advanced driver-assistance systems. This level enhances the overall driving experience by providing features such as adaptive cruise control and lane centering. The growing interest in Level 2 autonomy stems from the increasing safety benefits and convenience it offers to drivers, making it a popular choice among consumers. Automakers are continually working to improve and refine these systems, which could lead to a natural progression towards higher levels of autonomy.

Level 3:

Level 3 autonomy allows the vehicle to perform all driving tasks in specific scenarios without human intervention, though the driver must be ready to take control if needed. This level represents a significant advancement in self-driving technology and is gaining traction as manufacturers seek to introduce semi-autonomous vehicles. Level 3 vehicles rely on robust sensor systems and AI algorithms to ensure safe operation, making them attractive options for consumers seeking a higher level of automation. As regulatory frameworks evolve to accommodate this technology, the market for Level 3 self-driving cars is expected to witness substantial growth.

Level 4:

Level 4 autonomy enables vehicles to operate in most driving scenarios without human control, even in specific conditions such as urban environments or highway settings. These vehicles are designed to handle complex driving situations, making them suitable for ridesharing services and commercial applications. The demand for Level 4 autonomous vehicles is driven by the potential for increased safety and efficiency in transportation. As technology advances and regulatory hurdles are overcome, Level 4 vehicles are likely to gain wider acceptance among consumers and businesses alike, further propelling the self-driving car market.

Level 5:

Level 5 autonomy represents the pinnacle of self-driving technology, where vehicles can operate entirely without human input in all conditions and environments. This level of autonomy eliminates the need for a steering wheel or pedals, allowing for a truly passenger-centric experience. The market for Level 5 vehicles is currently in the exploratory phase, as manufacturers invest in research and development to bring this groundbreaking technology to fruition. Although challenges related to safety, regulation, and public acceptance exist, the potential for Level 5 vehicles to revolutionize transportation makes them a focal point for future innovations in the automotive industry.

By Propulsion Type

Gasoline:

Gasoline-powered self-driving cars remain a dominant force in the market, as they are widely produced and accepted by consumers. These vehicles benefit from established infrastructure, including refueling stations and maintenance services. The versatility of gasoline engines allows for powerful performance, making them suitable for various vehicle types, including sedans, SUVs, and trucks. As automakers incorporate self-driving technology into gasoline vehicles, consumers are drawn to the balance of traditional performance and cutting-edge automation. Furthermore, the transition to hybrid models that integrate both gasoline and electric propulsion is expected to enhance the appeal of gasoline self-driving cars.

Diesel:

Diesel-powered vehicles are often favored for their fuel efficiency and torque, making them ideal for larger vehicles such as trucks and SUVs. In the self-driving car market, diesel propulsion can provide significant advantages in terms of range and performance, especially for long-haul applications. The integration of self-driving technology into diesel vehicles is particularly relevant for commercial sectors, where efficiency and operational costs are critical factors. As manufacturers develop advanced autonomous systems, they are also addressing concerns related to emissions, ensuring that diesel-powered self-driving cars meet evolving environmental standards.

CNG:

Compressed Natural Gas (CNG) is an alternative propulsion type that is gaining acceptance in the self-driving market due to its lower emissions and cost-effectiveness. CNG vehicles can operate efficiently in urban environments, where emissions regulations are stringent. The adoption of CNG-powered self-driving cars is particularly appealing for fleets and commercial applications, as they provide a sustainable option for transportation. As the market for self-driving vehicles expands, CNG could serve as a viable intermediary solution, bridging the gap between traditional fossil fuels and fully electric alternatives.

LNG:

Liquefied Natural Gas (LNG) is another alternative fuel option for self-driving vehicles, especially in heavy-duty applications such as freight transport. LNG is favored for its high energy density and lower emissions compared to gasoline and diesel. The use of LNG in self-driving commercial vehicles can lead to significant cost savings and environmental benefits, making it an attractive option for logistics companies. As the industry moves towards greater sustainability, LNG-powered self-driving vehicles are expected to play a critical role in reducing the carbon footprint of transportation.

Others:

This category encompasses various emerging propulsion types, including electric and hybrid systems that combine traditional engines with alternative fuels. As the automotive industry evolves, the integration of these innovative technologies into self-driving vehicles is becoming increasingly important. Electric self-driving cars, in particular, are gaining traction due to the growing emphasis on sustainability and environmental responsibility. The development of fast-charging infrastructure and advancements in battery technologies are paving the way for electric self-driving vehicles to become a dominant force in the market. Moreover, hybrid models that utilize multiple propulsion types offer flexibility and efficiency, catering to a diverse range of consumer preferences.

By Region

The regional analysis of the Internal Combustion Engine Self-Driving Car market reveals significant variations in growth potential and consumer acceptance. North America, particularly the United States, holds the largest share of the market, driven by strong investments in autonomous technology and a favorable regulatory environment. The region is projected to achieve a CAGR of 16% by 2035, fueled by the presence of leading automotive manufacturers and technology firms. Additionally, growing urbanization and a rising demand for transportation solutions in densely populated areas are likely to further support market growth in North America.

Europe is also a key player in the self-driving car market, with countries like Germany, France, and the United Kingdom leading the way in research and development. The European market is characterized by stringent regulations aimed at enhancing safety and reducing emissions, encouraging manufacturers to innovate in autonomous vehicle technology. The region is expected to experience substantial growth, with a projected CAGR of 14% through 2035. Meanwhile, the Asia Pacific region is rapidly emerging as a crucial market, driven by an increasing number of technology startups, collaboration between automotive and tech companies, and a growing demand for mobility solutions in urban areas.

Opportunities

The Internal Combustion Engine Self-Driving Car market presents numerous opportunities for growth and innovation, particularly in the realm of technology integration. As advancements in artificial intelligence and machine learning continue to evolve, manufacturers have the chance to develop more sophisticated and reliable self-driving systems that can enhance safety and efficiency on the roads. This creates a fertile ground for collaborations between automotive companies and technology firms, aiming to push the envelope of what's possible in vehicle automation. Furthermore, as consumers increasingly prioritize convenience and safety, there is a strong opportunity for manufacturers to capitalize on these trends by offering advanced driver-assistance systems (ADAS) that pave the way for fully autonomous vehicles.

Additionally, as urbanization accelerates and cities seek to alleviate traffic congestion, self-driving cars can provide a viable solution to mobility challenges. The growing interest in ridesharing and mobility-as-a-service (MaaS) models creates fertile ground for the deployment of autonomous vehicles in fleet operations. Companies that can effectively integrate self-driving technology into their services will find themselves at a competitive advantage. Moreover, government incentives and regulatory support for autonomous vehicle research and deployment can further catalyze growth. This landscape presents a wealth of opportunities for established manufacturers and new entrants alike to innovate and capture market share in this rapidly evolving sector.

Threats

Despite the promising outlook for the Internal Combustion Engine Self-Driving Car market, several threats loom over its growth. One significant concern is the potential backlash from consumers regarding safety and the readiness of autonomous technology. High-profile accidents involving self-driving vehicles have raised apprehensions about the reliability of this technology, leading to skepticism among consumers and regulators alike. As a result, manufacturers must navigate the challenges of public perception and ensure that their vehicles meet stringent safety standards. Additionally, concerns regarding data privacy and cybersecurity pose significant threats, as self-driving cars rely heavily on data collection and connectivity.

Furthermore, the competitive landscape is increasingly crowded, with tech companies entering the automotive space and pushing traditional manufacturers to adapt. This intensifying competition can lead to price wars, potentially impacting profitability. Regulatory hurdles, such as varying laws across regions regarding the testing and deployment of autonomous vehicles, can also hinder progress. The threat of economic downturns and fluctuations in fuel prices may impact consumer purchasing decisions, further complicating the market dynamics. Manufacturers must remain vigilant and agile to navigate these potential threats effectively.

Another restraining factor involves the high costs associated with developing and implementing self-driving technology. The research and development required to create safe and effective autonomous vehicles demand significant investment, which may present a barrier for smaller companies or startups looking to enter the market. Additionally, the complexity of integrating advanced sensors and AI systems can pose technical challenges, resulting in longer development timelines that may delay market entry. As the industry evolves, manufacturers must find ways to manage these costs while delivering high-quality, innovative solutions to meet consumer demands.

Competitor Outlook

• Tesla, Inc.
• Waymo LLC
• General Motors Company
• Ford Motor Company
• Audi AG
• Volkswagen AG
• BMW AG
• Nissan Motor Corporation
• Hyundai Motor Company
• Toyota Motor Corporation
• Mercedes-Benz AG
• Honda Motor Co., Ltd.
• Volvo Car Corporation
• FCA US LLC (Fiat Chrysler Automobiles)
• Porsche AG

The competitive landscape of the Internal Combustion Engine Self-Driving Car market is characterized by the presence of both established automotive giants and innovative technology startups. Major players like Tesla and Waymo are at the forefront, leveraging their expertise in electric and autonomous vehicle technologies to capture market share. Tesla's commitment to continuous software updates and improvements in its Autopilot system has set a benchmark in the industry, while Waymo's extensive testing and data collection efforts have made it a leader in developing robust self-driving solutions. Both companies are vying for dominance in a market that is rapidly evolving, with each pursuing strategic partnerships and investments to enhance their capabilities.

General Motors and Ford are also heavily investing in autonomous technologies, with their respective initiatives aimed at integrating self-driving systems into a range of vehicle types. These companies are focusing on the development of advanced driver-assistance systems and exploring opportunities in ridesharing and fleet management, recognizing the shift towards urban mobility solutions. Additionally, European manufacturers like Audi, Volkswagen, and BMW are making significant strides in self-driving technologies, often collaborating with tech firms to accelerate their advancements in this arena. The competitive pressure in this sector is driving innovation and improvements in safety, efficiency, and consumer acceptance.

Meanwhile, Japanese automakers such as Toyota and Honda are emphasizing safety and reliability as they develop their autonomous vehicle technologies. These companies are exploring partnerships with tech companies to enhance their capabilities, recognizing that collaboration is crucial in this rapidly evolving landscape. As the market matures, there will be an increasing focus on regulatory compliance and addressing consumer concerns about safety and data privacy. The dynamic nature of the competitive landscape necessitates that all players remain agile and responsive to changing market conditions and consumer demands.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 BMW AG
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 Audi AG
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Waymo LLC
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Porsche AG
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Tesla, Inc.
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 Volkswagen AG
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Mercedes-Benz AG
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Ford Motor Company
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Honda Motor Co., Ltd.
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Hyundai Motor Company
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Volvo Car Corporation
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 General Motors Company
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Nissan Motor Corporation
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Toyota Motor Corporation
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 FCA US LLC (Fiat Chrysler Automobiles)
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 Internal Combustion Engine Self-Driving Car Market, By Component
    • 6.1.1 Hardware
    • 6.1.2 Software
    • 6.1.3 Services
  • 6.2 Internal Combustion Engine Self-Driving Car Market, By Vehicle Type
    • 6.2.1 Sedan
    • 6.2.2 SUV
    • 6.2.3 Hatchback
    • 6.2.4 Pickup Truck
    • 6.2.5 Commercial Vehicles
  • 6.3 Internal Combustion Engine Self-Driving Car Market, By Propulsion Type
    • 6.3.1 Gasoline
    • 6.3.2 Diesel
    • 6.3.3 CNG
    • 6.3.4 LNG
    • 6.3.5 Others
  • 6.4 Internal Combustion Engine Self-Driving Car Market, By Level of Autonomy
    • 6.4.1 Level 1
    • 6.4.2 Level 2
    • 6.4.3 Level 3
    • 6.4.4 Level 4
    • 6.4.5 Level 5

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 Middle East & Africa - Market Analysis
    • 10.5.1 By Country
      • 10.5.1.1 Middle East
      • 10.5.1.2 Africa
  • 10.6 Internal Combustion Engine Self-Driving Car Market by Region

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global Internal Combustion Engine Self-Driving Car market is categorized based on

By Vehicle Type

• Sedan
• SUV
• Hatchback
• Pickup Truck
• Commercial Vehicles

By Component

• Hardware
• Software
• Services

By Level of Autonomy

• Level 1
• Level 2
• Level 3
• Level 4
• Level 5

By Propulsion Type

• Gasoline
• Diesel
• CNG
• LNG
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• Tesla, Inc.
• Waymo LLC
• General Motors Company
• Ford Motor Company
• Audi AG
• Volkswagen AG
• BMW AG
• Nissan Motor Corporation
• Hyundai Motor Company
• Toyota Motor Corporation
• Mercedes-Benz AG
• Honda Motor Co., Ltd.
• Volvo Car Corporation
• FCA US LLC (Fiat Chrysler Automobiles)
• Porsche AG