Summary

Autonomous vehicles, often referred to as self-driving cars, represent a revolutionary leap in the automotive industry. These vehicles have the potential to transform the way user commute, reducing accidents, increasing efficiency, and reshaping urban planning. As technology continues to advance, the dream of fully autonomous transportation is becoming closer to reality. Autonomous vehicles operate by utilizing a combination of sensors, cameras, radar, lidar, and advanced artificial intelligence (AI) algorithms. These technologies work together to enable the vehicle to perceive its surroundings, make decisions, and navigate without human intervention. As of now, we are in a transitional phase where semi-autonomous features are becoming increasingly common in modern vehicles. These features include adaptive cruise control, lane-keeping assistance, and automated parking. The autonomous vehicle industry is at the forefront of technological innovation, reshaping the landscape of transportation and mobility. Over the past decade, advancements in artificial intelligence, sensor technology, and connectivity have propelled the development of self-driving cars, promising a future where vehicles navigate roads with minimal human intervention. Several major players are driving the evolution of autonomous vehicles. Traditional automakers, tech companies, and startups are all investing heavily in research and development to carve out a niche in this transformative industry. Companies such as Tesla, Waymo (a subsidiary of Alphabet Inc.), and Uber ATG (Advanced Technologies Group) have emerged as leaders, each bringing unique perspectives and approaches to autonomous technology. Tesla, with its Autopilot feature, has garnered attention for its semi-autonomous capabilities available to consumers. Waymo, on the other hand, has focused on developing fully autonomous vehicles and has logged millions of miles in real-world testing. Uber ATG aims to revolutionize the ride-hailing industry by integrating autonomous vehicles into its platform.

According to the research report, “Global Autonomous Vehicle Market Outlook, 2029” published by Bonafide Research, the market is anticipated to cross USD 140 Billion by 2029, increasing from USD 37.16 Billion in 2023. The market is expected to grow with 22.03% CAGR by 2024-29. The rise of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication has enabled autonomous vehicles to share critical information with each other and with the surrounding environment. This connectivity improves coordination and enhances overall traffic management. Major players in the automotive industry, as well as technology and transportation companies, are making substantial investments in autonomous vehicle research and development. This influx of capital fuels innovation and accelerates the deployment of autonomous technologies. The emergence of numerous startups focusing exclusively on autonomous technologies has injected fresh ideas and perspectives into the industry. These startups often bring agility and innovation, contributing to the overall growth. Autonomous vehicles have the potential to significantly reduce accidents caused by human error, which is a leading cause of road accidents. Improved safety features and the ability of AI to handle complex scenarios contribute to the appeal of autonomous technology. The autonomous vehicle industry opens up new business opportunities, including mobility-as-a-service (MaaS) models, where users can access transportation on-demand without owning a vehicle. This shift could reshape the automotive industry and lead to the creation of new economic ecosystems. The development, manufacturing, and maintenance of autonomous vehicles generate employment opportunities in various sectors, including engineering, software development, and logistics. Autonomous vehicles are expected to play a crucial role in the development of smart cities. They can contribute to reduce congestion, and more efficient urban planning. The ability to program autonomous vehicles for optimal fuel efficiency and reduced emissions aligns with global efforts toward environmental sustainability. As consumers become more familiar with autonomous technologies through semi-autonomous features in modern vehicles, there is a growing awareness and acceptance of the benefits of full autonomy.

The increase in delivery needs caused by the expansion of e-commerce mandates faster and more efficient logistics solutions. Autonomous vehicles, which include drones and self-driving delivery trucks, have the potential to improve last-mile delivery operations, addressing the growing demand for fast and dependable supplies. These vehicles promise improved routes, lower operational costs, and faster delivery times, which aligns with the goals of e-commerce enterprises seeking to meet customer demand for speedier shipment. As e-commerce grows in popularity, so does the demand for new logistics solutions, driving investment and research into autonomous technology and, ultimately, boosting the growth and deployment of autonomous vehicles inside the e-commerce supply chain. Industries that use self-driving vehicles indicate a readiness to accept new technology. As these industries reap the benefits of better efficiency, lower costs, and improved safety brought about by autonomous transportation, it encourages more adoption and investment in autonomous vehicle technology across a wide range of sectors. For example, in September 2023, Volvo Autonomous Solutions (V.A.S.), a Sweden-based firm that provides autonomous transport solutions, and Boliden, a Swedish mining corporation, will form a long-term cooperation to implement self-driving transport solutions in Boliden's operations. They'll collaborate on a variety of projects, beginning with deploying autonomous transportation at Boliden's Garpenberg location in Sweden.

Market Drivers

• Consumer Demand for Mobility Services: The rise in consumer demand for convenient and efficient mobility services is a significant driver for the autonomous vehicle market. The advent of ride-hailing and ride-sharing platforms has created a paradigm shift in how people view transportation. Autonomous vehicles are seen as a key enabler for these services, offering the potential for cost-effective, on-demand transportation without the need for human drivers. The convenience, flexibility, and potentially lower costs associated with autonomous mobility services contribute to the growing interest and adoption of autonomous vehicles, driving innovation and investments in the sector.

• Environmental Considerations: Autonomous vehicles are anticipated to play a role in addressing environmental concerns by optimizing traffic flow and improving fuel efficiency. Through advanced algorithms and connectivity, autonomous vehicles can potentially reduce congestion, enhance traffic management, and optimize routes, resulting in lower fuel consumption and reduced emissions. As the global community intensifies efforts to combat climate change, the environmental benefits associated with autonomous transportation make it a driver for the adoption of this technology.

Market Challenges

• Ethical and Legal Considerations: The ethical considerations surrounding autonomous vehicles pose a complex challenge for the industry. Autonomous vehicles need to make split-second decisions in situations where human lives are at stake, leading to discussions about the ethical programming of these decisions. Determining how vehicles should prioritize the safety of occupants, pedestrians, and other road users is a critical aspect of ethical consideration. Additionally, the legal landscape surrounding autonomous vehicles is evolving, and questions of liability in the event of accidents or malfunctions need resolution to provide a clear framework for industry stakeholders and consumers.

• Infrastructure Readiness: The successful deployment of autonomous vehicles relies heavily on supportive infrastructure. Smart roads, robust communication networks, and advanced traffic management systems are essential components to ensure the seamless operation of autonomous vehicles. The lack of standardized infrastructure globally poses a challenge to the widespread implementation of autonomous technology. Collaborative efforts between governments, technology companies, and infrastructure providers are necessary to develop and deploy the infrastructure needed to support the safe and efficient functioning of autonomous vehicles.

Market Trends

• Development of Level 4 and 5 Autonomy: Level 4 and Level 5 autonomy represent stages where vehicles can operate with minimal or no human intervention in specific scenarios or under all conditions, respectively. Achieving these levels of autonomy requires advancements in perception systems, decision-making algorithms, and comprehensive mapping. Industry players are investing heavily in research and development to push the boundaries of autonomy, with the aim of providing users with a truly driverless experience, unlocking new possibilities for mobility and transportation services.

• Focus on User Experience (UX) : As autonomous vehicles move closer to commercial deployment, there is an increasing focus on delivering a positive and comfortable user experience. Designing intuitive user interfaces, addressing concerns related to motion sickness, and creating appealing in-car environments for passengers are key considerations. The interior design of autonomous vehicles is evolving to accommodate diverse use cases, including work, leisure, and relaxation. User-centric design and an emphasis on passenger comfort are becoming crucial elements in differentiating autonomous vehicles in the market and ensuring consumer acceptance.

Covid-19 Impacts

The automotive industry, including autonomous vehicle manufacturers, experienced production slowdowns and shutdowns due to workforce limitations, restrictions on movement, and a general economic downturn. Additionally, the pandemic led to a reduction in testing and validation activities, as social distancing measures and lockdowns hindered on-road testing and collaborative efforts. On the positive side, the pandemic underscored the potential benefits of autonomous vehicles in scenarios like contactless deliveries and transportation of essential goods. The emphasis on reducing human-to-human contact accelerated interest in autonomous delivery solutions. Companies exploring last-mile autonomous delivery services found an increased demand for their technology during periods of lockdowns and social distancing measures. Moreover, the pandemic prompted a reevaluation of transportation needs and priorities. With the rise of remote work, there has been increased interest in the development of autonomous shuttles and microtransit solutions to address changing commuting patterns. The concept of shared autonomous mobility gained traction as people reconsidered the necessity of personal vehicle ownership in urban areas. However, the economic uncertainties stemming from the pandemic also led to a reevaluation of investment priorities, and some companies in the autonomous vehicle space faced financial challenges. The pandemic-induced economic slowdown prompted a cautious approach to discretionary spending and investments, impacting the pace of development and deployment of autonomous technologies.

Passenger cars are leading in the Autonomous Vehicle Market because of the widespread consumer adoption driven by the demand for enhanced safety, convenience, and the evolution of advanced driver-assistance systems (ADAS) .

The dominance of passenger cars in the Autonomous Vehicle Market can be primarily attributed to the pervasive consumer demand for improved safety and convenience. The increasing integration of advanced driver-assistance systems (ADAS) in passenger vehicles has played a pivotal role in laying the foundation for autonomous driving technology. Consumers are increasingly valuing features such as adaptive cruise control, lane-keeping assistance, automatic emergency braking, and parking assistance, which are stepping stones toward full autonomy. This growing acceptance of ADAS has not only fueled the development of autonomous technologies but has also fostered consumer trust and familiarity with automated driving functionalities. Passenger cars are at the forefront of this technological evolution as automakers prioritize implementing autonomous features in vehicles designed for individual consumers. The deployment of autonomous technology in passenger cars aligns with the broader societal trend towards smarter, connected lifestyles. The convenience offered by autonomous driving, allowing passengers to reclaim time during their commutes, has significantly contributed to the appeal of self-driving cars. Additionally, the iterative approach of introducing autonomous features incrementally in passenger vehicles has allowed consumers to gradually adapt to and trust the evolving technology. Furthermore, the economic and practical considerations have driven the focus on passenger cars. Fleets of autonomous taxis and delivery vehicles are certainly part of the autonomous future, but the initial market traction is established by private ownership of autonomous passenger cars. This approach leverages the existing infrastructure and accommodates the personal preferences and lifestyles of consumers, making it a more viable and accessible option in the current market landscape.

Semi-autonomous cars are leading in the Autonomous Vehicle Market because they strike a balance between technological advancement and user acceptance by providing enhanced driver assistance features while maintaining a level of human control and involvement.

The ascendancy of semi-autonomous cars in the Autonomous Vehicle Market is rooted in the strategic compromise they offer between cutting-edge technology and user acceptance. Semi-autonomous vehicles incorporate advanced driver assistance systems (ADAS) that provide a spectrum of features, including adaptive cruise control, lane-keeping assistance, and automated parking. These capabilities enhance safety, convenience, and overall driving experience, enticing consumers to embrace autonomous technologies gradually. The gradual integration of autonomous features allows users to experience the benefits of automation while still having a level of control, addressing concerns related to trust and reliability. Semi-autonomous vehicles represent a phased approach towards full autonomy, acknowledging the importance of human involvement and oversight during the transitional period. This approach aligns with regulatory frameworks and societal expectations that prioritize safety and gradual adaptation to new technologies. By empowering drivers with a combination of automated assistance and manual control, semi-autonomous cars overcome challenges related to legal and ethical considerations surrounding fully autonomous vehicles. Moreover, the market success of semi-autonomous cars can be attributed to their compatibility with existing infrastructure and the incremental nature of their technological implementation. Integrating autonomous features into existing models of passenger cars enables manufacturers to tap into established markets and leverage economies of scale, making the technology more accessible and affordable for a broader consumer base. This approach facilitates a smoother transition to a future where fully autonomous vehicles may become more prevalent.

Transportation applications are leading in the Autonomous Vehicle Market due to the compelling economic and operational advantages they offer, such as increased efficiency, reduced operational costs, and improved safety in logistics and freight transportation.

The core rationale behind this leadership is the substantial economic and operational benefits that autonomous vehicles bring to transportation and supply chain management. Autonomously driven trucks and freight vehicles offer the promise of increased efficiency and reliability in the movement of goods. With the ability to operate continuously without the need for rest breaks or adherence to strict driving hour limitations, autonomous vehicles can significantly reduce transit times and expedite the delivery of goods. One of the primary drivers is the potential for substantial cost savings. Autonomous vehicles eliminate the need for human drivers, reducing labor costs and addressing challenges related to driver shortages in the industry. Moreover, the efficiency gains through optimized routing, reduced fuel consumption, and streamlined supply chain operations contribute to overall cost-effectiveness. The reliability of autonomous vehicles in adhering to traffic rules and avoiding accidents also leads to reduced insurance costs, further enhancing the financial appeal for transportation companies. Safety is another critical factor. Autonomous vehicles, equipped with advanced sensors and artificial intelligence, can navigate complex traffic scenarios, interpret road conditions, and respond to potential hazards with precision. This enhanced safety profile translates into fewer accidents, reduced damage to goods, and lower liability for transportation companies. Additionally, the scalability of autonomous technology in transportation applications is noteworthy. Fleet operators can incrementally adopt autonomous features, such as platooning or convoy systems, without an immediate shift to fully autonomous vehicles. This staged implementation allows transportation companies to test and validate the technology while maintaining operational flexibility. The global nature of supply chains and the demand for just-in-time deliveries further amplify the significance of autonomous transportation applications. As the technology matures, logistics companies are increasingly investing in autonomous fleets to gain a competitive edge in a rapidly evolving industry.

Level 2 autonomous transportation is leading in the Autonomous Vehicle Market because it strikes a balance between advanced driver assistance systems (ADAS) and user engagement, providing consumers with enhanced safety features while allowing them to maintain a level of control and comfort.

Level 2 autonomous transportation holds a prominent position in the Autonomous Vehicle Market due to its strategic approach in blending advanced automation with user involvement. At Level 2 autonomy, vehicles are equipped with sophisticated driver assistance systems such as adaptive cruise control, lane-keeping assistance, and automated parking, creating a comprehensive package of safety and convenience features. This level of automation enables the vehicle to handle certain driving tasks, but it still requires the driver to remain engaged and ready to take control when needed. Consumers have shown a greater willingness to adopt Level 2 autonomous vehicles compared to higher autonomy levels because of the gradual and familiar nature of the transition. The technology enhances the driving experience by reducing the driver's workload, particularly in monotonous or congested traffic conditions, while still allowing them to enjoy the act of driving when desired. This balance between automation and user engagement is a crucial factor in the widespread acceptance of Level 2 autonomous transportation. The incremental implementation of autonomy at Level 2 aligns with regulatory frameworks and societal expectations, addressing concerns related to safety, legal responsibilities, and the transition period to fully autonomous driving. The industry recognizes the importance of building trust among users, and Level 2 serves as a stepping stone toward achieving this by providing tangible benefits without completely removing the driver from the equation. Furthermore, automakers and technology developers find Level 2 autonomy to be a practical and commercially viable approach. By enhancing existing vehicles with Level 2 features, manufacturers can cater to a broader market and facilitate the integration of autonomous technology into conventional car models. This approach leverages existing infrastructure, reduces development costs, and accelerates the overall adoption of autonomous transportation.

The Software and Services component is leading in the Autonomous Vehicle Market because it represents the core intellectual property and innovation driving autonomous technology, providing the crucial algorithms, mapping, simulation, and over-the-air updates essential for the functionality, safety, and continuous improvement of autonomous vehicles.

The ascendancy of the Software and Services component in the Autonomous Vehicle Market is rooted in its role as the intellectual powerhouse of autonomous technology. This component encompasses the intricate algorithms, machine learning models, and software architecture that enable autonomous vehicles to perceive their surroundings, make decisions, and navigate dynamically in real-time. The software is the brain behind the operation, orchestrating complex tasks such as object recognition, path planning, and sensor fusion. Moreover, software plays a pivotal role in creating high-definition maps, an indispensable element for autonomous navigation. These detailed maps, often incorporating real-time data, provide vehicles with essential information about the road network, traffic conditions, and potential obstacles. As autonomous vehicles heavily rely on accurate and up-to-date mapping, the Software and Services component becomes a linchpin in ensuring safe and efficient navigation. Additionally, the continuous improvement and adaptation of autonomous systems are facilitated by over-the-air software updates, a key aspect of the Services component. This allows manufacturers to deploy improvements, address vulnerabilities, and enhance the performance of autonomous vehicles remotely. The ability to update software throughout the vehicle's lifecycle ensures that it remains aligned with the latest technological advancements and regulatory requirements, underscoring the significance of the Services component in the autonomous ecosystem. The Software and Services component not only enables the functionality of autonomous vehicles but also plays a crucial role in simulation and testing. Advanced simulation environments allow developers to assess the performance of autonomous algorithms in a virtual space, replicating a wide range of scenarios without the need for extensive real-world testing. This accelerates the development process, enhances safety, and ensures the robustness of autonomous systems. Furthermore, the Software and Services component fosters collaboration and innovation in the autonomous vehicle ecosystem. As various companies contribute unique algorithms, data processing techniques, and software solutions, an ecosystem of innovation is created, driving the rapid evolution of autonomous technology.

North America is leading in the Autonomous Vehicle Market due to its early and robust investment in autonomous technology research and development, supportive regulatory frameworks, and the presence of key industry players fostering innovation and collaboration.

The region has been at the forefront of research and development in the autonomous vehicle space, with numerous technology companies, automotive manufacturers, and research institutions headquartered or operating within North America. This early and sustained commitment to innovation has positioned the region as a global leader in shaping the future of autonomous transportation. Supportive regulatory frameworks have played a pivotal role in fostering the growth of autonomous vehicles in North America. While ensuring safety and addressing ethical concerns, regulatory bodies in the United States and Canada have been comparatively agile in adapting to and accommodating the evolving landscape of autonomous technology. This adaptability has provided a conducive environment for testing, development, and deployment of autonomous vehicles, enabling companies to explore and implement cutting-edge solutions. The presence of key industry players, including technology giants, traditional automakers, and startups, has created a vibrant ecosystem for collaboration and competition. North America hosts major players at the forefront of autonomous technology, contributing to a robust and competitive market. This concentration of expertise and resources has attracted global talent and investments, further solidifying North America's position as a hub for autonomous vehicle development. Geographical factors also contribute to North America's leadership in the Autonomous Vehicle Market. The extensive road infrastructure, diverse driving conditions, and varied regulatory landscapes across different states and provinces provide an ideal testing ground for autonomous vehicles. Companies can conduct comprehensive testing in real-world scenarios, covering urban, suburban, and rural environments, which is crucial for refining and validating autonomous systems.

The global autonomous vehicle market is highly competitive and dominated by the presence of major automotive giants. Leading market players are significantly focused towards inorganic growth strategies such as collaboration, partnership, merger & acquisition, and regional expansion. In August 2017, Intel Corporation, BMW AG, Fiat Chrysler Automobiles (FCA), and Mobileye, affiliated business of Intel Corporation contracted a memo of understanding for Fiat Chrysler Automobiles to link companies for the development of autonomous vehicle driving platform. The memorandum aimed at collaborating capabilities, resources, and strengths of all the companies to reduce the product launch time, in addition, also enhances the development efficiency and platform technology. Moreover, industry participants also invest significantly for the product development as autonomous vehicles require high-end electronic devices for advanced automotive features. Rapidly changing consumer preference and increasing awareness among the people for environment-friendly vehicles motivate the market players to incorporate such features in their vehicles. These market players tie up with the electronic hardware manufacturing companies to meet the consumer demand.


• On May 2023, Toyota and NVIDIA provided $43 million in Series C funding to Foretellix to support the creation of testing software for autonomous vehicles. With contributions from 83North Ventures, Woven Capital, Nvidia, Artofin VC, MoreTech Ventures, Nationwide, and Jump Capital, the financing round brought capital to over $93 million.

• On May 2023, Ouster and May Mobility signed an agreement to expand their autonomous car solutions with purchase of 1,000 lidar sensors. The binding agreement was for the distribution of autonomous cars with Ouster OS1 and Alpha PrimeTM VLS-128 sensors by 2024.

• On May 2023, the autonomous taxi service offered by Waymo will be expanded in San Francisco and the greater Phoenix area. In the Phoenix area, Waymo is launching its service in Scottsdale and extending its reach to Tempe, Chandler, and Mesa. Around 10,000 people are on the Waymo waiting list to use the service in San Francisco. The emphasis changes as the business grows from collecting more miles driven to providing better services. Users have been using Waymo's taxis for late-night travels when they might otherwise be concerned about safety, relishing the seclusion that the self-driving service gives.

• In August 2023, Pony.ai, a U.S.-based software company, partnered with Toyota Motor (China) Investment Co., Ltd. and GAC Toyota Motor Co., Ltd. to create a joint venture aimed at advancing fully driverless robotaxis for mass production and deployment. This initiative combines Pony.ai's autonomous driving tech, Toyota's branded electric vehicles, and GTMC's production expertise. Together, they'll offer safe and convenient robotaxi services, propelling the industry towards commercialized autonomous mobility.

• In July 2023, Volkswagen, a German-based Automobile manufacturer, plans to initiate trials of self-driving vehicles in Austin, Texas, shifting away from Argo AI. The German auto manufacturer intends to introduce roughly 10 ID Buzz electric vans, equipped with autonomous systems developed alongside Mobileye, into the city by the end of 2023.

• On January 2023, Microsoft will invest $10 million in autonomous vehicle company, Gatik. With the investment, Gatik's valuation would increase to almost $700 million, and the company would commit to creating autonomous delivery truck technology using Microsoft's Azure cloud and edge platform. The push towards autonomous vehicles has been tempered by the difficulties, costs, and safety concerns associated with R&D. By 2030, there will be 4x as many L4 autonomous vehicles worldwide as there were in the previous year, according to Gartner experts. Microsoft plans to market its Azure cloud, AI, edge platform, and Internet of Things services to businesses in the sector.

Considered in this report

• Historic year: 2018
• Base year: 2023
• Estimated year: 2024
• Forecast year: 2029

Aspects covered in this report

• Autonomous Vehicle market Research Report with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation

By Vehicle Type

• Passenger Car
• Commercial Vehicle

By Type

• Semi-autonomous
• Fully Autonomous

By Application

• Transportation
• Defense

By Level of Automation

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

By Component

• Hardware
• Software
• Services

The approach of the report:

This report consists of a combined approach of primary and secondary research. Initially, secondary research was used to get an understanding of the market and list the companies that are present in it. The secondary research consists of third-party sources such as press releases, annual reports of companies, and government-generated reports and databases. After gathering the data from secondary sources, primary research was conducted by conducting telephone interviews with the leading players about how the market is functioning and then conducting trade calls with dealers and distributors of the market. Post this; we have started making primary calls to consumers by equally segmenting them in regional aspects, tier aspects, age group, and gender. Once we have primary data with us, we can start verifying the details obtained from secondary sources.

Intended audience

This report can be useful to industry consultants, manufacturers, suppliers, associations, and organizations related to the Autonomous Vehicle industry, government bodies, and other stakeholders to align their market-centric strategies. In addition to marketing and presentations, it will also increase competitive knowledge about the industry.***Please Note: It will take 48 hours (2 Business days) for delivery of the report upon order confirmation.

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Table of Contents

Table of Content

1. Executive Summary
2. Market Dynamics
2.1. Market Drivers & Opportunities
2.2. Market Restraints & Challenges
2.3. Market Trends
2.4. Covid-19 Effect
2.5. Supply chain Analysis
2.6. Policy & Regulatory Framework
2.7. Industry Experts Views
3. Research Methodology
3.1. Secondary Research
3.2. Primary Data Collection
3.3. Market Formation & Validation
3.4. Report Writing, Quality Check & Delivery
4. Market Structure
4.1. Market Considerate
4.2. Assumptions
4.3. Limitations
4.4. Abbreviations
4.5. Sources
4.6. Definitions
5. Economic /Demographic Snapshot
6. Global Autonomous Vehicle Market Outlook
6.1. Market Size By Value
6.2. Market Share By Region
6.3. Market Size and Forecast, By Geography
6.4. Market Size and Forecast, By Vehicle Type
6.5. Market Size and Forecast, By Type
6.6. Market Size and Forecast, By Application
6.7. Market Size and Forecast, By Level of Automation
6.8. Market Size and Forecast, By Component
7. North America Autonomous Vehicle Market Outlook
7.1. Market Size By Value
7.2. Market Share By Country
7.3. Market Size and Forecast, By Vehicle Type
7.4. Market Size and Forecast, By Type
7.5. Market Size and Forecast, By Application
7.6. Market Size and Forecast, By Level of Automation
7.7. Market Size and Forecast, By Component
7.8. United States Autonomous Vehicle Market Outlook
7.8.1. Market Size By Value
7.8.2. Market Size and Forecast By Vehicle Type
7.8.3. Market Size and Forecast By Type
7.8.4. Market Size and Forecast By Application
7.9. Canada Autonomous Vehicle Market Outlook
7.9.1. Market Size By Value
7.9.2. Market Size and Forecast By Vehicle Type
7.9.3. Market Size and Forecast By Type
7.9.4. Market Size and Forecast By Application
7.10. Mexico Autonomous Vehicle Market Outlook
7.10.1. Market Size By Value
7.10.2. Market Size and Forecast By Vehicle Type
7.10.3. Market Size and Forecast By Type
7.10.4. Market Size and Forecast By Application
8. Europe Autonomous Vehicle Market Outlook
8.1. Market Size By Value
8.2. Market Share By Country
8.3. Market Size and Forecast, By Vehicle Type
8.4. Market Size and Forecast, By Type
8.5. Market Size and Forecast, By Application
8.6. Market Size and Forecast, By Level of Automation
8.7. Market Size and Forecast, By Component
8.8. Germany Autonomous Vehicle Market Outlook
8.8.1. Market Size By Value
8.8.2. Market Size and Forecast By Vehicle Type
8.8.3. Market Size and Forecast By Type
8.8.4. Market Size and Forecast By Application
8.9. United Kingdom Autonomous Vehicle Market Outlook
8.9.1. Market Size By Value
8.9.2. Market Size and Forecast By Vehicle Type
8.9.3. Market Size and Forecast By Type
8.9.4. Market Size and Forecast By Application
8.10. France Autonomous Vehicle Market Outlook
8.10.1. Market Size By Value
8.10.2. Market Size and Forecast By Vehicle Type
8.10.3. Market Size and Forecast By Type
8.10.4. Market Size and Forecast By Application
8.11. Italy Autonomous Vehicle Market Outlook
8.11.1. Market Size By Value
8.11.2. Market Size and Forecast By Vehicle Type
8.11.3. Market Size and Forecast By Type
8.11.4. Market Size and Forecast By Application
8.12. Spain Autonomous Vehicle Market Outlook
8.12.1. Market Size By Value
8.12.2. Market Size and Forecast By Vehicle Type
8.12.3. Market Size and Forecast By Type
8.12.4. Market Size and Forecast By Application
8.13. Russia Autonomous Vehicle Market Outlook
8.13.1. Market Size By Value
8.13.2. Market Size and Forecast By Vehicle Type
8.13.3. Market Size and Forecast By Type
8.13.4. Market Size and Forecast By Application
9. Asia-Pacific Autonomous Vehicle Market Outlook
9.1. Market Size By Value
9.2. Market Share By Country
9.3. Market Size and Forecast, By Vehicle Type
9.4. Market Size and Forecast, By Type
9.5. Market Size and Forecast, By Application
9.6. Market Size and Forecast, By Level of Automation
9.7. Market Size and Forecast, By Component
9.8. China Autonomous Vehicle Market Outlook
9.8.1. Market Size By Value
9.8.2. Market Size and Forecast By Vehicle Type
9.8.3. Market Size and Forecast By Type
9.8.4. Market Size and Forecast By Application
9.9. Japan Autonomous Vehicle Market Outlook
9.9.1. Market Size By Value
9.9.2. Market Size and Forecast By Vehicle Type
9.9.3. Market Size and Forecast By Type
9.9.4. Market Size and Forecast By Application
9.10. India Autonomous Vehicle Market Outlook
9.10.1. Market Size By Value
9.10.2. Market Size and Forecast By Vehicle Type
9.10.3. Market Size and Forecast By Type
9.10.4. Market Size and Forecast By Application
9.11. Australia Autonomous Vehicle Market Outlook
9.11.1. Market Size By Value
9.11.2. Market Size and Forecast By Vehicle Type
9.11.3. Market Size and Forecast By Type
9.11.4. Market Size and Forecast By Application
9.12. South Korea Autonomous Vehicle Market Outlook
9.12.1. Market Size By Value
9.12.2. Market Size and Forecast By Vehicle Type
9.12.3. Market Size and Forecast By Type
9.12.4. Market Size and Forecast By Application
10. South America, Middle East & Africa Autonomous Vehicle Market Outlook
10.1. Market Size By Value
10.2. Market Share By Country
10.3. Market Size and Forecast, By Vehicle Type
10.4. Market Size and Forecast, By Type
10.5. Market Size and Forecast, By Application
10.6. Market Size and Forecast, By Level of Automation
10.7. Market Size and Forecast, By Component
10.8. Brazil Autonomous Vehicle Market Outlook
10.8.1. Market Size By Value
10.8.2. Market Size and Forecast By Vehicle Type
10.8.3. Market Size and Forecast By Type
10.8.4. Market Size and Forecast By Application
10.9. UAE Autonomous Vehicle Market Outlook
10.9.1. Market Size By Value
10.9.2. Market Size and Forecast By Vehicle Type
10.9.3. Market Size and Forecast By Type
10.9.4. Market Size and Forecast By Application
10.10. Saudi Arabia Autonomous Vehicle Market Outlook
10.10.1. Market Size By Value
10.10.2. Market Size and Forecast By Vehicle Type
10.10.3. Market Size and Forecast By Type
10.10.4. Market Size and Forecast By Application
11. Competitive Landscape
11.1. Competitive Dashboard
11.2. Business Strategies Adopted by Key Players
11.3. Key Players Market Share Insights and Analysis, 2022
11.4. Key Players Market Positioning Matrix
11.5. Porter's Five Forces
11.6. Company Profile
11.6.1. The Mercedes-Benz Group AG
11.6.1.1. Company Snapshot
11.6.1.2. Company Overview
11.6.1.3. Financial Highlights
11.6.1.4. Geographic Insights
11.6.1.5. Business Segment & Performance
11.6.1.6. Product Portfolio
11.6.1.7. Key Executives
11.6.1.8. Strategic Moves & Developments
11.6.2. Uber Technologies, Inc
11.6.3. Bayerische Motoren Werke AG
11.6.4. Toyota Motor Corporation
11.6.5. General Motors Company
11.6.6. Volkswagen AG
11.6.7. Alphabet Inc.
11.6.8. Volvo Cars
11.6.9. Nissan Motor Co., Ltd.
11.6.10. Ford Motor Company
11.6.11. Nvidia Corporation
11.6.12. Pony.ai
11.6.13. Tesla, Inc
11.6.14. Baidu, Inc.
11.6.15. Tata Elxsi Ltd.
11.6.16. Nuro, Inc.
11.6.17. Groupe Renault
11.6.18. Luminar Technologies Inc
11.6.19. Aptiv PLC
11.6.20. Denso Corporation
12. Strategic Recommendations
13. Annexure
13.1. FAQ`s
13.2. Notes
13.3. Related Reports
14. Disclaimer

List of Figures

Figure 1: Global Autonomous Vehicle Market Size (USD Billion) By Region, 2023 & 2029
Figure 2: Market attractiveness Index, By Region 2029
Figure 3: Market attractiveness Index, By Segment 2029
Figure 4: Global Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 5: Global Autonomous Vehicle Market Share By Region (2023)
Figure 6: North America Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 7: North America Autonomous Vehicle Market Share By Country (2023)
Figure 8: US Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 9: Canada Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 10: Mexico Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 11: Europe Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 12: Europe Autonomous Vehicle Market Share By Country (2023)
Figure 13: Germany Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 14: UK Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 15: France Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 16: Italy Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 17: Spain Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 18: Russia Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 19: Asia-Pacific Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 20: Asia-Pacific Autonomous Vehicle Market Share By Country (2023)
Figure 21: China Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 22: Japan Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 23: India Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 24: Australia Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 25: South Korea Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 26: South America Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 27: South America Autonomous Vehicle Market Share By Country (2023)
Figure 28: Brazil Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 29: UAE Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 30: Saudi Arabia Autonomous Vehicle Market Size By Value (2018, 2023 & 2029F) (in USD Billion)
Figure 31: Competitive Dashboard of top 5 players, 2023
Figure 32: Market Share insights of key players, 2023
Figure 33: Porter's Five Forces of Global Autonomous Vehicle Market

List of Tables

Table 1: Global Autonomous Vehicle Market Snapshot, By Segmentation (2023 & 2029) (in USD Billion)
Table 2: Influencing Factors for Autonomous Vehicle Market, 2023
Table 3: Top 10 Counties Economic Snapshot 2022
Table 4: Economic Snapshot of Other Prominent Countries 2022
Table 5: Average Exchange Rates for Converting Foreign Currencies into U.S. Dollars
Table 6: Global Autonomous Vehicle Market Size and Forecast, By Geography (2018 to 2029F) (In USD Billion)
Table 7: Global Autonomous Vehicle Market Size and Forecast, By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 8: Global Autonomous Vehicle Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 9: Global Autonomous Vehicle Market Size and Forecast, By Application (2018 to 2029F) (In USD Billion)
Table 10: Global Autonomous Vehicle Market Size and Forecast, By Level of Automation (2018 to 2029F) (In USD Billion)
Table 11: Global Autonomous Vehicle Market Size and Forecast, By Component (2018 to 2029F) (In USD Billion)
Table 12: North America Autonomous Vehicle Market Size and Forecast, By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 13: North America Autonomous Vehicle Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 14: North America Autonomous Vehicle Market Size and Forecast, By Application (2018 to 2029F) (In USD Billion)
Table 15: North America Autonomous Vehicle Market Size and Forecast, By Level of Automation (2018 to 2029F) (In USD Billion)
Table 16: North America Autonomous Vehicle Market Size and Forecast, By Component (2018 to 2029F) (In USD Billion)
Table 17: United States Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 18: United States Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 19: United States Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 20: Canada Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 21: Canada Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 22: Canada Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 23: Mexico Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 24: Mexico Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 25: Mexico Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 26: Europe Autonomous Vehicle Market Size and Forecast, By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 27: Europe Autonomous Vehicle Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 28: Europe Autonomous Vehicle Market Size and Forecast, By Application (2018 to 2029F) (In USD Billion)
Table 29: Europe Autonomous Vehicle Market Size and Forecast, By Level of Automation (2018 to 2029F) (In USD Billion)
Table 30: Europe Autonomous Vehicle Market Size and Forecast, By Component (2018 to 2029F) (In USD Billion)
Table 31: Germany Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 32: Germany Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 33: Germany Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 34: United Kingdom Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 35: United Kingdom Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 36: United Kingdom Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 37: France Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 38: France Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 39: France Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 40: Italy Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 41: Italy Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 42: Italy Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 43: Spain Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 44: Spain Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 45: Spain Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 46: Russia Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 47: Russia Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 48: Russia Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 49: Asia-Pacific Autonomous Vehicle Market Size and Forecast, By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 50: Asia-Pacific Autonomous Vehicle Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 51: Asia-Pacific Autonomous Vehicle Market Size and Forecast, By Application (2018 to 2029F) (In USD Billion)
Table 52: Asia-Pacific Autonomous Vehicle Market Size and Forecast, By Level of Automation (2018 to 2029F) (In USD Billion)
Table 53: Asia-Pacific Autonomous Vehicle Market Size and Forecast, By Component (2018 to 2029F) (In USD Billion)
Table 54: China Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 55: China Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 56: China Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 57: Japan Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 58: Japan Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 59: Japan Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 60: India Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 61: India Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 62: India Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 63: Australia Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 64: Australia Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 65: Australia Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 66: South Korea Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 67: South Korea Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 68: South Korea Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 69: South America, Middle East & Africa Autonomous Vehicle Market Size and Forecast, By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 70: South America, Middle East & Africa Autonomous Vehicle Market Size and Forecast, By Type (2018 to 2029F) (In USD Billion)
Table 71: South America, Middle East & Africa Autonomous Vehicle Market Size and Forecast, By Application (2018 to 2029F) (In USD Billion)
Table 72: South America, Middle East & Africa Autonomous Vehicle Market Size and Forecast, By Level of Automation (2018 to 2029F) (In USD Billion)
Table 73: South America, Middle East & Africa Autonomous Vehicle Market Size and Forecast, By Component (2018 to 2029F) (In USD Billion)
Table 74: Brazil Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 75: Brazil Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 76: Brazil Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 77: United Arab Emirates Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 78: United Arab Emirates Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 79: United Arab Emirates Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)
Table 80: Saudi Arabia Autonomous Vehicle Market Size and Forecast By Vehicle Type (2018 to 2029F) (In USD Billion)
Table 81: Saudi Arabia Autonomous Vehicle Market Size and Forecast By Type (2018 to 2029F) (In USD Billion)
Table 82: Saudi Arabia Autonomous Vehicle Market Size and Forecast By Application (2018 to 2029F) (In USD Billion)