Autonomous Vehicle Market Size, Share, and Trends

Autonomous Vehicle Market (By Application: Defense, Transportation; By Level of Automation: Level 1, Level 2, Level 3, Level 4, Level 5; By Propulsion: Semi-autonomous, Fully Autonomous; By Vehicle: Passenger Car, Commercial Vehicle) - Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2024 - 2033

  • Last Updated : June 2024
  • Report Code : 1074
  • Category : Automotive

Autonomous Vehicle Market Size and Growth 2024 to 2033

The global autonomous vehicle market size was estimated USD 158.31 billion in 2023 and is projected to hit around USD 2,752.80 billion by 2033, poised to grow at a compound annual growth rate (CAGR) of 33% from 2024 to 2033. U.S. autonomous vehicle market was valued at USD 59.92 billion in 2023.

Autonomous Vehicle Market Size 2023 to 2032

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A driverless vehicle, also known as an autonomous vehicle, is a vehicle that can operate without the assistance of a human. It can carry out required functions by sensing and responding to external conditions and surroundings using superior and built-in programs.

The autonomous vehicle also known as self-driving cars have propelled significant shift in automation and connectivity. The internet, computers, smartphones, and other advanced technologies are being integrated into vehicles to help and automate driving operations.

Autonomous Vehicle Market Key Takeaway

  • North America reached at highest revenue share of over 40.31% in 2023.
  • The Asia-Pacific region is expected to hit at a CAGR of 35% from 2024 to 2033.
  • By application, the transportation segment accounted largest revenue share of 93.57% in 2023.
  • By vehicle type, the passenger segment accounted for 74.29% of revenue share in 2023.
  • By propulsion type, the semi-autonomous vehicle segment accounted for 95.13% of revenue share in 2023.
  • By transportation, the commercial transportation segment has accounted revenue share of 84.98% in 2023.
  • By Level of Automation, the Level 2 segment has accounted revenue share of 40.29% in 2023.

Autonomous Vehicle Market Growth Factors

The government funding, supportive regulatory framework and investment in digital infrastructure are pretended to positively drive the demand for autonomous cars during the forecast period. In addition, it provides independent mobility for the person suffering from disability as well as for the non-drivers. They offer high-level of flexibility and comfort to rest, read, or even work while traveling that improves their efficiency. Further, rising technological advancement and diversity in the automotive industry has introduced autonomous cars. Autonomous vehicles are a breakthrough technology in the automotive industry after the introduction of electric vehicle and hybrid vehicles. Rising number of accidents because of human error has triggered the need for the autonomous technology to invade in the automobile sector.

Apart from the benefits, high cost of autonomous vehicle, rising concern for security & safety, and lack of proper infrastructure to support automated vehicles in the developing countries restrict the growth of the market. On the other hand, government initiatives to support electric and hybrid vehicles expected to propel the market for autonomous vehicles in the coming years.

Report Scope of the Autonomous Vehicle Market

Report Highlights Details
Market Size in 2023 USD 158.31 Billion
Market Size by 2033 USD 2,752.80 Billion
Growth Rate from 2024 to 2033 CAGR of 33%
Largest Market North America
Fastest Growing Market Asia Pacific
Base Year 2023
Forecast Period 2024 to 2033
Segments Covered Application, Level of Automation, Propulsion, Transportation, Vehicle, Region
Companies Mentioned BMW AG, Audi AG, Ford Motor Company, Daimler AG, Google LLC, General Motors Company, Nissan Motor Company, Honda Motor Co., Ltd., Toyota Motor Corporation, Tesla, Volvo Car Corporation, Uber Technologies, Inc., and Volkswagen AG

 

Autonomous Vehicle Market Drivers

RISING NEED FOR ROAD SAFETY

The number of road accidents are increasing day by day. According to the Association for Safe International Road Travel (ASIRT), more than one million people die in road accidents each year. The primary cause of accidents is human error that occurs in an uncertainty of events, for instance, head-on collisions due to misinterpretation of the driver. Accidents may also occur due to machine or parts failure, such as the failure of brakes or breakage of axles. The governments of many nations are strengthening the regulations that can resolve road safety concerns.

Autonomous vehicles are safer than traditional vehicles as they are technologically advanced vehicles with various driving assisting systems, such as navigation systems, lane management systems, anti-collision systems, among others, and are connected to a central processing and decision-making system.

According to Automotive World Ltd., a leader in automotive industry information, there would be more than 2 billion cars across the globe in 2050. Thus, with a large number of cars, there would be a high concern for traffic congestion. Autonomous vehicles could assist in resolving traffic congestion issues. Autonomous cars can communicate with other cars and thus avoid traffic congestions. Also, with rising sharing economy self-driving cars can provide the travelers with an easy and convenient point to point travel with optimal efficiency and minimum traffic congestion.

GROWING R&D SPENDING IN AUTONOMOUS VEHICLE DEVELOPMENT

An autonomous vehicle is a combination of various sensors and networking system that assist the computer in driving the vehicle. In 2018, BMW Group is expected to spend the largest share of its revenue in research and development operations. The usual amount spent by the company is in the range of 5 to 5.5% of the sales, but in the recent annual report, the company has stated that it would spend 6.5 to 7% of its sales toward the development of technology. It is mainly focusing on the development of autonomous and electric vehicles. For better and rapid development of autonomous technology in vehicles, several companies such as Audi and Tesla Motors collaborate with technology developers. For instance, collaboration companies such as Nvidia will assist automobile manufacturers in developing object recognition.

Also, auto manufacturers such as Waymo have partnered with Intel Corporation to enhance automobile infotainment systems. In addition, several other competitors conduct in-house research for developing cutting edge technologies for autonomous vehicles. In the luxury car segment, Tesla and Mercedes are investing more than 60% in internal research. Many OEMs in Japan, such as Toyota, have also initiated in- house research that enhances the technological capabilities of the companies.

ENVIRONMENTAL IMPACT DUE TO TRADITIONAL VEHICLES

The rising environmental impact of the pollution caused by traditional vehicles has increased the global temperature as well as health hazards to humans. According to Environmental Protection Agency (EPA), in the U.S. more than 75% of the carbon monoxide is emitted by motor vehicles. It causes various respiratory and cardiovascular diseases such as asthma. Thus, with the rise of autonomous vehicles, the percentage of pollution caused by cars and trucks is expected to reduce owing to optimum usage of fuel by vehicles and the growing implementation of ecofriendly automotive solutions such as electric cars.

Furthermore, the growth of the sharing economy would act as a catalyst in the rise of autonomous vehicles. As the cars would be self-driven, they could be shared, thus decreasing the impact on the environment. For instance, Uber, a company that provides ride sharing and food delivery, has initiated the development and testing of autonomous vehicles in Arizona, U.S. Moreover, other ride sharing companies such as Lyft and Gett have started collaborating with OEMs that develop autonomous vehicles.

INCREASED ENERGY SAVINGS BY AUTONOMOUS VEHICLES

The rising development of autonomous cars that are integrated with artificial intelligence would increase the efficiency of the car as compared to human drivers. Autonomous vehicles can increase the efficiency of the vehicle as they would have real-time traffic updates, enhanced telematics and connected cars, the self-driving vehicle would change the routes accordingly. Thus, the vehicles would be more efficient as they would not result in the wastage of fuel at traffic jams.

Autonomous vehicles have enhanced fuel efficiency since they use proper acceleration and gear shifts as compared to human drivers who tend to accelerate or deaccelerate the vehicle aggressively and ending up wasting more fuel. Platooning of vehicles is possible with autonomous vehicles. This would also assist in increasing the efficiency of the vehicle, owing to reduced aerodynamic drag caused by the platooning. The rise of hybrid technologies used in traditional cars and trucks currently, along with the use of pure electric and hybrid electric technologies in future autonomous cars and trucks, would together assist in saving energy and increasing the efficiency of the drive. The sharing economy would also increase energy savings with the use of autonomous cars and trucks.

Autonomous Vehicle Market Opportunities

Increasing Focus on Vehicle Platooning

Vehicle platoon comprises group of vehicles equipped with advanced technology, running together in a row from nose-to-tail at a high speed. A lead vehicle is followed by the other vehicle at a same speed and maneuvers to the lead the vehicle. Each vehicle communicates with lead vehicle, which controls 

the speed and direction of the other vehicles. Additionally, vehicle platooning is a result of one the technological advancement in the automotive industry, which aims to enhance vehicle & passenger safety, improve fuel efficiency and decreases time travel. Numerous vehicle manufacturers and

government bodies are investing huge amount in R&D to develop vehicle platooning technology. For instance, in February 2018, the Europe government launched “ENSEMBLE”, an EU funded project for truck platooning. DAF, Daimler, Iveco, MAN, Scania, and Volvo are the partner of this program. The ENSEMBLE consortium will develop autonomous trucks for vehicle platooning and will demonstrate multi brand truck platooning over the period of next three years. Additionally, in January 2018, after the successful test of truck platooning in Europe, Daimler AG is testing truck platooning in Japan through its subsidiary “Fuso”. Moreover, rising implementation of vehicle platooning is expected to boost the demand for autonomous vehicle. 

INCREASED TECHNOLOGICAL ADVANCEMENTS BY OEMS FOR THE DEVELOPMENT OF AUTONOMOUS VEHICLES

The driver assistance technology offers adaptive headlights, passive cruise control, lane departure warning, night vision, blind spot detection, and self-parking features. The security features entail remote keyless entry and passive car entry. Autonomous cars enhance comfort by integrating air conditioning, LED lighting, electric windows, rain sensitive wipers, electric seats, power sliding doors, and electric roof. The electrical suspension offers an active as well as passive suspension. The power train features offer engine management, electrical power steering, electro-hydraulic power steering, automatic gearbox, and steer-by-wire. Instrumentation offers head-up displays. Braking advancements offer ABS without as well as with electronic stability. The safety features incorporate airbags and occupant detection.

NEW BUSINESS MODEL FOR INSURANCE COMPANIES

The rising emergence of autonomous vehicles is expected to innovate automobile insurance. Traditional automobile insurance is secured by the owner of the vehicle. For instance, car owners must insure their vehicle as a preventive measure against accidents. More than 90% of the accidents are caused due to human error. Thus, considering such accidents, insurance companies provide aid in terms of monetary benefits. However, with autonomous vehicles on the roads, the rate of accidents is expected to reduce as it would be driven by robotic drivers.

Self-driving cars would be less susceptible to accidents and also the ownership of the vehicles would shift to automakers as they can boost the sharing economy by providing autonomous vehicles as per requirements 24/7. With the less individual ownership of vehicles, auto insurance is expected to experience a decline. Moreover, along with the rise of autonomous vehicles, innovative insurances such as enhanced cyber-security insurance, sensor insurance/algorithm insurance, and insurance against bad infrastructure. Thus, insurance would be provided for services instead of physical products. Furthermore, autonomous vehicles are expected to increase automobile insurance exponentially over the forecast period.

Below mentioned are the benefits of vehicle platooning

  • Lower fuel consumption
  • Reduce CO2 emissions by up to 10%
  • Reduction in road congestion
  • Reduction in traffic accident
  • Optimises transportation system by using roads more effectively
  • Reduce up to 30% of total operating costs of a truck

Transition from Car ownership to Mobility-as-a-Service (MaaS)

With the changing landscape of how passengers commute on daily basis, the demand for an integrated mobility service platform which combines various modes of transportation such as public transit, private vehicle, and bikes, among others in a compact service package has increased in the recent years. 

According to the United Nations, the total population living in urban areas is estimated to reach 68% by 2050 from 55% in 2018 and along with this rapidly rising urban population, the demand for sustainable transportation system which consumes less time, is affordable and reduces hassle is expected to grow as well. As MaaS helps in decongestion of traffic, cost reduction, and efficient travel, the future of mobility services is expected to change rapidly. As the platform is flexible to integrate new modes or products without interfering with the existing service operations, integration of autonomous vehicle is expected to be adopted on a commercial scale thereby increasing car-pooling services; reducing the use of privately-owned cars autonomous cars. As the Mobility-as-a-Service becomes sustainable in the future, it is expected reduce the travel costs such as fuel costs and toll cost by reducing traffic congestions. 

Most of services for MaaS will be delivered by the robo-taxi or self-driving taxi, a Level 4 or Level 5 autonomous cars operated for on-demand mobility services such as ride haling and ride sharing. Additionally, autonomous driving technology providers such as Waymo, Uber, and Zoox, among others are spending a humongous amount in R&D to develop Level 4 or Level 5 robo-taxis. For instance, Uber invests $125 million to $200 million in a quarter for self-driving vehicle projects. Additionally, autonomous technology providers are collaborating with automotive OEMs and tier 1 component providers to develop advanced autonomous vehicles. For instance, in August 2018, Uber partnered with Toyota and as per the partnership agreement Toyota invested $500 million in Uber and both companies will work jointly for the development of self-driving cars. The combined self-driving technology will be integrated with Toyota Sienna minivans and will be deployed on Uber ride-hailing networks starting from 2021. All these factors are anticipated to create immense opportunities for the market growth. 

Wide Ranging Opportunities for Luxury Cars (Level 1 and Level 2) in Emerging Economies

The demand for luxury cars is on a rise, automotive OEMs such as Volvo, BMW, Audi, Mercedes- Benz, among others are developing luxury vehicles, which are level 1 and level 2 autonomous vehicles. In the recent years, the automotive sector has witnessed unprecedented growth in emerging economies such as China, India, Vietnam, Malaysia, and Indonesia, which are also becoming major manufacturing hubs for global automotive players. In order to efficiently make use of rising consumer automobile preferences, leading global automotive OEMs are entering into new and emerging markets for business expansion in terms of product launches, acquisitions/partnerships. For instance, BMW will launch X7, X4 in India in 2019. BMW X7 comprises ADAS features such as adaptive cruise control, lane departure warning, blind spot detection, and speed limit information, among others. This form of expansion will further strengthen the company’s position in emerging countries and enhance its market share. 

Additionally, leading automotive OEMs are expanding their geographical footprint in emerging countries by increasing manufacturing capacity in an order to fulfil the gap between the demand and supply of the vehicles. For instance, in July 2018, BMW and its Chinese partner “Brilliance Automotive Group Holdings” signed an agreement to expand their Chinese joint venture “BMW Brilliance Automotive”. This expansion will help the company to boost its production capacity to 520,000 cars in 2019.

Autonomous Vehicle Market Restraint

VEHICLE SAFETY AND CYBERSECURITY CONCERNS

Autonomous vehicles are a cyber-physical system as they have elements of both physical and virtual worlds. The physical system comprises the car and all the mechanical components, while the virtual system comprises the AI-based driving assisting systems, such as car-to-car communication, navigation, and cloud connectivity. Thus, Connectivity also poses a threat to the security of the autonomous car.  Autonomous vehicles can be hacked by traditional hackers for personal data, such as behavior patterns. Moreover, autonomous vehicles can be infected by ransomware that can cause accidents while also increasing the chances of vehicle theft. In 2015, Jeep Cherokee was hacked by researchers from IOActive, Inc., a company that provides cybersecurity solutions. The car was hacked using the entertainment system that was connected to the cloud through the internet. Thus, the hackers were successful in taking control of the car.

The LiDAR and image recognition system can also be tricked by portraying false images and road signs. Also, Lidar is unable to sense glass while radar can mainly sense metal objects only. Thus, it poses a threat to the passengers travelling in autonomous cars.  The malfunctioning of autonomous cars can be fatal, which emerges as the biggest social perception inhibiting their espousal. Extensive and scrupulous testing is indispensable, as is redundancy in autonomous systems. In case something miscarries, there are alternatives or back-ups in place, which permit the continued safe operation of these cars. However, this would further increase the cost of autonomous cars. Moreover, people are highly concerned about the cars’ performance in different driving conditions as regards weather and traffic. Functional safety is another key concern that hampers the adoption of autonomous cars. It is referred to as the absence of unreasonable risks that occur due to hazards caused by the malfunctioning of electronic systems. Moreover, random failures are unpredictable.

NON-AVAILABILITY OF INFRASTRUCTURE IN DEVELOPING COUNTRIES

The main pillars of autonomous vehicles are policies and regulations, technological innovation, infrastructure, and adoption by customers. The self-driving vehicle is dependent on factors such as continuously maintained road infrastructure, road signs, and updated maps or navigation systems. In many developing countries such as India, Mexico, and Brazil, the road infrastructure is not as developed as compared to developed countries such as the U.S., Singapore, and Sweden. Thus, it would cause a hindrance in the development of autonomous vehicles.

The networking and development of roads also plays an important role in enhancing the adoption of self-diving vehicles. For instance, in 2017, according to the World Economic Forum, Brazil was ranked 107th out of 144 countries in infrastructure development. Thus, such issues in developing nations would act as a restraint in the development of autonomous vehicles. The investments in developing the infrastructure would play a vital role in the adoption and growth of autonomous vehicles. Also, upgrading the existing infrastructures and building new ones would act as a restraint in the development of autonomous vehicles in the growing economies.

Autonomous Vehicle Market Challenge

SYSTEM RELIABILITY AND UNCERTAINTY IN USER ACCEPTANCE

The surging technological advancements aiming at offering enhanced features while reducing the social perception pertaining to the adoption of driverless cars is a key concern. Moreover, people would prefer to spend a little more on their current cars and equip them with features such as crash avoidance and lane keeping systems, which form the basis of autonomous cars. Furthermore, several social equity concerns associated with driverless cars may hinder their adoption as these cars may have unfair impacts.

In addition, autonomous cars would affect business activity as well. There would be a decline in the demand for car repairs owing to reduced crash rates, thereby impacting the maintenance & repair department revenue. Moreover, if the frequency of accidents drops then a complete “crash economy” of insurance firms, chiropractors, automotive body-shops, and others will be disrupted. The adoption of autonomous cars is emphasized due to the increased safety that it offers in driving as compared to humans. A computers faulty reading from a sensor or miscalculation may trigger a car to perform unsuitable tasks, which could catch the driver off-guard. This may possibly result in uncommon and highly complex types of accidents that are difficult to predict.

Regional Insights

Surge in adoption of hybrid and electric vehicles in North America has projected the region as the global leader in the year 2023 and expected to witness explicit growth over the forecast period. This is attributed to the changes in traffic regulations in the U.S. that allow autonomous vehicles to operate on public roads. In order to make transportation fully autonomous, the government is taking initiatives for road infrastructure.

U.S. Autonomous Vehicle Market Size 2022 To 2032

The prime factor supporting the accelerating growth of the region is amendments from government in the traffic regulations to support the autonomous mobility on public road. For example, in 2013, a traffic regulation institute in the U.S., the National Highway Traffic Safety Administration (NHTSA), allowed testing for self-driving cars in various states, including California, Nevada, Michigan, Florida, and Washington D.C.

Autonomous Vehicle Market Share, By Region, 2020 (%)

On the contrary, Europe expected to emerge as the most lucrative region for autonomous car market in the coming years due to shifting consumer preference towards automated product along with rising adoption of autonomous vehicles. In 2018, the U.K. Department of Transport announced a jurisdiction to permit autonomous vehicles on any public road without the requirement of extra insurance or permits. In 2018, the country has successfully established centers for autonomous and connected vehicles. Further, the government of UK has shown its commitment towards autonomous vehicles and planned to convert all vehicles on-road into autonomous one by the year 2021 by making necessary changes in the regulations.

Global Autonomous Vehicle Market Revenue, By Region, 2021-2024 (USD Billion)

Region 2021 2022 2023 2024
North America 37.76 48.90 63.81 83.92
Europe 19.45 25.22 32.96 43.40
Asia Pacific 18.03 23.37 30.52 40.18
LAMEA 19.16 24.29 31.01 39.89

 

Application Insights

By application, the global autonomous vehicles market is bifurcated into defense and transportation segments. Among them transportation segment cover nearly 93.57% of the market value share in 2023 and anticipated to witness a proliferating growth over the analysis period. The transportation segment is further categorized into commercial and industrial applications. Rising adoption of electric and hybrid vehicles with various level of automation has significantly triggered the demand for autonomous vehicles in transportation application. Furthermore, public awareness and government support for shared mobility in commercial sector has prominently boosted the trend of autonomous vehicles in the segment. For instance, in December 2019, a manufacturer and supplier of Internet-related services and products, Baidu, announced to secure 40 licenses that help company to test its driverless cars. Other than commercial application, industrial segment also projected to expand at a rapid rate owing to surge in logistics and e-commerce platform that require heavy vehicles for goods transportation.

Due to increasing adoption of autonomous vehicles in transportation, the transportation segment is expected to grow significantly in the coming years. This is also due to technological advancements and a growing acceptance of autonomous vehicles by governments around the world.

Autonomous Vehicle Market Share, By Application, 2022 (%)

However, defense sector experience flourishing growth in the demand for autonomous vehicles and expected to emerge as one of the most prominent application during the forecast period owing to various initiatives across different regions such as North America. For instance, in April 2019, the U.S. military announced to deploy autonomous combat trucks to assist soldiers while driving to avoid accidents especially in rough terrain.

Global Autonomous Vehicle Market Revenue, By Application, 2021-2024 (USD Billion)

Application 2021 2022 2023 2024
Defense 7.69 10.05 13.22 17.53
Transportation 86.71 111.73 145.09 189.85

 

Vehicle Type Insights

The passenger vehicle segment held the largest share in the autonomous vehicle market. In terms of consumer acceptance, passenger cars make up the majority of the AV market. Autonomous vehicles that are tailored to the needs of specific customers and provide safety, convenience, and maybe lower ownership and transportation expenses are being developed by companies. Passenger cars that are driven autonomously could drastically lower the number of traffic incidents brought on by human error. In addition, they can lessen traffic and improve flow, which makes better use of the road infrastructure possible. With the advancement of technology and rising public acceptability, the market for autonomous passenger cars is predicted to expand. Beyond personal use, this expansion includes fleet operations, ridesharing services, and urban mobility solutions.

The commercial vehicle segment is expected to be the fastest growing market. Because autonomous technology increases productivity, lowers costs, and improves safety, it has the potential to completely transform logistics and freight transportation. For instance, self-driving trucks might be able to work constantly, cutting down on downtime and improving delivery timetables. In cities, autonomous shuttles and buses can offer more dependable and adaptable public transportation choices, which could ease traffic and increase accessibility. By reducing accidents brought on by human mistake, autonomous vehicles (AVs) seek to improve safety in commercial aviation. Additionally, autonomous systems can reduce costs by optimizing routes, fuel economy, and vehicle maintenance. Although the advantages appear prospective, technological developments and legal obstacles must be overcome for autonomous commercial cars to operate safely and dependably.

Level of Autonomy Insights

The level 1 segment holds the largest sharethe autonomousmous vehicle market. Cars with driver assistance systems that offer fundamental automation, including adaptive cruise control and lane-keeping aid, are referred to as "Level 1" vehicles. Although these devices are meant to help the driver, human supervision and involvement are still necessary. Compared to higher levels like Level 4 or Level 5, Level 1 automation is regarded as a lesser level since it does not feature totally autonomous functioning. Since Level 1 automation is the first step toward more sophisticated autonomous driving technology, its significance in the AV market cannot be overstated. It's a transitional stage where producers and customers get used to automated features and start to trust that some tasks can be partially automated. 

The level 4 & 5 segment is expected to be the fastest growing market. At level four levels, autonomous cars can improve mobility for the elderly and disabled, who might find it difficult to use other forms of transportation. Under some circumstances and environments, cars are able to operate in all driving capacities without the need for human assistance. But they only function in some regions or under certain circumstances (such the type of road or the weather) when they are completely capable of operating autonomously. Although Level 4 vehicles are capable of handling the majority of driving scenarios on their own, in certain extreme cases, they may still need human assistance. Level 5 automation suggests that all driving functions can be carried out by the car without the need for human supervision or involvement. These vehicles are built to function securely in every situation that might be handled by a conventional human-driven vehicle.

Application Insights

The transportation segment held the largest share in the autonomous vehicle market in 2023. The use of autonomous technology in modes of transportation other than private passenger cars is referred to as the transportation segment in the autonomous vehicle market. Buses and trains can benefit from autonomous technology to increase efficiency, lower operating costs, and improve safety. This includes self-driving delivery cars and trucks, which simplify logistics and commodities transportation. In urban and suburban regions, autonomous shuttles and taxis are being developed to offer on-demand transportation services. In order to optimize parcel delivery, autonomous vehicles are also being investigated for last-mile delivery options, especially in urban settings.

The defense segment is expected to be the fastest growing market. In the autonomous vehicle market, the defense sector primarily deals with the creation and implementation of autonomous technologies for military use. These uses can include autonomous drones for combat support and surveillance as well as unmanned ground vehicles (UGVs) for reconnaissance and logistics. The potential of autonomous vehicles to function in dangerous or remote areas, decreased hazards associated with human labor, and improved operational efficiency are the main elements generating interest in these vehicles for the defense sector. In order to improve their capabilities in contemporary battle scenarios, defense agencies throughout the world are aggressively investigating and investing in these technologies.


Key Companies & Market Share Insights

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.

Autonomous Vehicle Market Companies

  • BMW AG
  • Audi AG
  • Ford Motor Company
  • Daimler AG
  • Google LLC
  • General Motors Company
  • Nissan Motor Company
  • Honda Motor Co., Ltd.
  • Toyota Motor Corporation
  • Tesla
  • Volvo Car Corporation
  • Uber Technologies, Inc.
  • Volkswagen AG

Segments Covered in the Report

This research report includes complete assessment of the market with the help of extensive qualitative and quantitative insights, and projections regarding the market. This report offers breakdown of market into prospective and niche sectors. Further, this research study calculates market revenue and its growth trend at global, regional, and country from 2024 to 2033. This report includes market segmentation and its revenue estimation by classifying it on the basis of application, and region:

By Application

  • Defense
  • Transportation
    • Commercial transportation
    • Industrial transportation

By Level of Automation

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

By Propulsion Type

  • Semi-autonomous
  • Fully Autonomous

By Vehicle Type

  • Passenger Car
  • Commercial Vehicle

By Regional Outlook

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
  • Rest of the World

Frequently Asked Questions

According to Precedence Research, the autonomous vehicle market size was valued USD 158.31 billion in 2023 and is expected to hit around USD 2,752.80 billion by 2033.

The autonomous vehicle market is growing at a CAGR of 33% from 2024 to 2033.

The government funding, supportive regulatory framework and investment in digital infrastructure are pretended to positively drive the demand for autonomous cars during the forecast period.

Among them transportation segment cover nearly 93.57% of the market value share in 2022 and anticipated to witness a proliferating growth over the analysis period.

Surge in adoption of hybrid and electric vehicles in North America has projected the region as the global leader in the year 2023 and expected to witness explicit growth over the forecast period.

Some of the key players operating in the market are BMW AG, Audi AG, Ford Motor Company, Daimler AG, Google LLC, General Motors Company, Nissan Motor Company, Honda Motor Co., Ltd., Toyota Motor Corporation, Tesla, Volvo Car Corporation, Uber Technologies, Inc., and Volkswagen AG among others.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Autonomous Vehicle Market 

5.1. COVID-19 Landscape: Autonomous Vehicle Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Autonomous Vehicle Market, By Application

8.1. Autonomous Vehicle Market, by Application, 2023-2032

8.1.1. Defense

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Transportation

8.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Autonomous Vehicle Market, By Level of Automation

9.1. Autonomous Vehicle Market, by Level of Automation, 2023-2032

9.1.1. Level 1

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Level 2

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Level 3

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Level 4

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Level 5

9.1.5.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Autonomous Vehicle Market, By Propulsion Type 

10.1. Autonomous Vehicle Market, by Propulsion Type, 2023-2032

10.1.1. Semi-autonomous

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Fully Autonomous

10.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Autonomous Vehicle Market, By Vehicle Type 

11.1. Autonomous Vehicle Market, by Vehicle Type, 2023-2032

11.1.1. Passenger Car

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Commercial Vehicle

11.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Autonomous Vehicle Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.1.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.1.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.1.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.1.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.6.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.1.6.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.1.6.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.2.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.2.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.2.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.2.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.6.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.2.6.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.2.6.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.7.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.2.7.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.2.7.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.8.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.2.8.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.2.8.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.3.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.3.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.3.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.3.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.6.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.3.6.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.3.6.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.7.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.3.7.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.3.7.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.8.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.3.8.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.3.8.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.4.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.4.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.4.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.4.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.6.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.4.6.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.4.6.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.7.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.4.7.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.4.7.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.8.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.4.8.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.4.8.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.5.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.5.5.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.5.5.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.6.2. Market Revenue and Forecast, by Level of Automation (2020-2032)

12.5.6.3. Market Revenue and Forecast, by Propulsion Type (2020-2032)

12.5.6.4. Market Revenue and Forecast, by Vehicle Type (2020-2032)

Chapter 13. Company Profiles

13.1. BMW AG

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Audi AG

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Ford Motor Company

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Daimler AG

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Google LLC

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. General Motors Company

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Nissan Motor Company

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Honda Motor Co., Ltd.

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Toyota Motor Corporation

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Tesla

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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