Self-Driving Car Market Synopsis

Self-Driving Car Market Size Was Valued at USD 26.27 Billion in 2023 and is Projected to Reach USD 85.5 Billion by 2032, Growing at a CAGR of 14.01% From 2024-2032

The self-driving car market remains a dynamic one that is set for continued growth, innovation, and change because of growth in technology, rules and regulations, and attitudes towards automated transport. With industry big players like Tesla, Waymo and newcomers to the self-driving car race like Ford and GM ramping up investments on the technology, the market is experiencing a breakout in both invention and competition. This has created increased awareness of safety and reduced congestion, environmental pollution coupled with other benefits they are seeing in self-driving cars which places the market in a vantage position to grow in the next few years.

• Achievements have been recorded in artificial intelligence especially in machine learning and computer vision have improved self-driving car feature. Solid-state hardware such as LiDAR and radar are paramount in the ability of vehicles to understand the environment and the predisposition they are in.
• However, roadblocks having to do with regulatory issues and overall public receptiveness persist. Some of the challenges that governments all over the world face include setting safety standards, as well as legal responsibilities and preparedness of infrastructure in case of adverse events. Other factors that work in Favor of the rate at which one adopts include consumer trust as well as their acceptance.
• Thus, there are still some barriers that have not allowed to implement the Sistema to the maximum, such as the regulation restrictions and the people’s acceptance. Burdett et al. state that governments across the globe are facing challenges as regards safety measures across the buildings, legal responsibilities and preparedness of construction and infrastructure. The degree of trust that customers have placed in technology is also an important determinant of the rate of adoption.

Self-Driving Car Market Trend Analysis

Advancements in Artificial Intelligence and Machine Learning

• The market for self-driving cars largely depends on AI, along with the development of various techniques in machine learning. Here is how these fields are interlinking to enhance the growth of industry. Self-driving cars have multiple sensors and cognitive nodes such as LiDAR sensors, radar sensors, cameras and others that allows AI algorithms to have a 360-degree perception of the environment.
• This enables them to “visualize” the road, people, other vehicles as well as other structures or objects present in the road or pathway. They are self-driven and can make decisions in real-time because of the help of AI to analyze the environment. Some of the challenging operations are path planning, pedestrian/obstacle avoidance, Traffic light recognition, etc.
• Thus, AI can take necessary precautions based on past data regarding accidents and current traffic situations in its motor control strategies in an effort to enhance safety. Machine learning based models can adapt and thus improve upon their performance as soon as they are faced with actual scenario on the road. This is important of wanting to learn how to react to new environments that are always arising in the future.
• One significant feature of self-driving cars is that they produce copious quantities of data. The increase in the volume of generated data can be managed with the help of machine learning to ensure its efficient processing and analysis for the training of AI systems. Traffic accidents could be reduced greatly by has been reduced to zero since AI takes over the wheel and get rid of human factors. Self-driving cars can be programmed to automatically select efficient routes that can be more than enough to cut through traffic congestion, thus eliminating long delays on the roads. Some of the benefits are that Individuals who are unable to drive such as the old and those with disabilities would gain mobility in case of self-driving cars.
• Future prospects of the self-driving car market look promising and it is predicted that it will be a multi-billion project, which will generate demand for new jobs and stimulate the economy. Some specific recommendations include: transparent and stringent rules setting the terms for testing and operation of self-driving vehicles on public highways are required.

Shift towards Mobility as a Service (MaaS)

• MaaS is a shift in the supply of transportation in the urban context, which is touted as the delivery of mobility as a service rather than making buyers own cars. It combines different types of transport systems into an easily navigable single service that enables the user to design and purchase a single itinerary without having to separately arrange and pay for individual forms of transport. It is a sustainable transport model that reduces costs and railroad congestion, as it fully utilizes the available transport infrastructures. This involves elements like ride-hailing, bike-sharing, car-sharing, public transport, and going up to micro transport hailing, including but not limited to e-scooters and e-bikes.
• Self-driving car market or automated vehicles, AVs from its full terminology, is the development of transportation technology in the direction of completely automated systems for driving. ACoceans Research: Self-driving cars could be game changer by increasing the safety, reducing traffic jams, and allowing people with certain disabilities to move around freely. Many established players, including Waymo, Tesla, Uber, as well as the established auto manufacturers continue to dedicate resources to achieving the development of AVs. These cars use a chain of numerous sensors, artificial intelligence, and unique algorithms to identify and drive in different climates without any human interference.
• The combined future of MaaS and self-driving cars will be a practical and constructive one in the field of mobility in cities. The on-demand vehicles of self-driving cars are also capable of being deployed as a part of MaaS platforms, which can eliminate the use of drivers. This integration, therefore, creates a positive potential for MaaS in terms of increased flexibility and easier access to opportunities in the field of mobility. For instance, self-driving cars can also integrate with existing public transportation options, acting as a first and last mile transportation solutions while also serving the demand side transportation demand in areas where the public transport is not fully developed. Furthermore, it may be integrated into car-sharing and rental service schemes in urban centers, which will help in decreasing the number of people owning personal cars and promote embracing eco-friendly means of transportation.
• Nonetheless, they are a number of issues and concerns that are likely to be linked with the adoption of MaaS and self-driving car. Other challenges are the legal and political barriers, risk for safety and security, infrastructure needs, and social impacts, including the risk of the loss of jobs in the transports sector. Moreover, there are the questions of ethical issues as to who should be entrusted with decision-making algorithms used in self-driving automobiles, when human lives can be involved as well.

Self-Driving Car Market Segment Analysis:

Self-Driving Car Market Segmented based on by Component and By Vehicle

By Component, Radar segment is expected to dominate the market during the forecast period.

• Radar systems, in general, utilize beams of radio waves to identify targets and also to determine its distance and velocity as well as the angle at which it traverses. They are effective during low visibility or during bad weather and thus, they help in supplying critical information required in circumstances such as collision avoidance or advanced cruise control.
• In this system, LiDAR (Light Detection and Ranging) sensors project laser beams and form accurate 3D images of the near environment to the vehicle. These provided high definition maps enable the self-driving cars to manoeuvrability within such environments with accuracy in identifying the obstacles and the pedestrians on the road as well as the markings drawn across the surface.
• This type of sensors works by producing high-frequency sound waves to identify objects close to them and provide the distance. They are mostly incorporated in park assist functions and low speed movements and are used at short range to give an alert whenever an object is in the proximity of the vehicle during a maneuver.
• Cameras capture data from the scene-the signs, signals, and lane markings on the road. These include feature recognition as well as following the lane and detecting pedestrians, which are made possible by the use of computer vision algorithms that interpret the images and feed back analyses in real time.
• These components all act in harmony to construct a rich perception environment for ADAS and self-driving vehicles making it possible for the vehicles to operate and maneuver safely under various road conditions. With the trends of more advanced technology and reduced costs for this type of system, the incorporation of these components will remain integrated to foster new technologies and advancements in the development of self-driving cars.

By Vehicle, Hatchback segment held the largest share in 2023

• Hatchbacks and sedans are popular choices for urban commuting and family transportation. In the self-driving car market, these vehicles offer the potential for convenient and efficient autonomous ride-sharing services, catering to urban dwellers and commuters seeking affordable and accessible mobility solutions.
• SUVs are favored for their versatility, offering ample space and ruggedness for both urban and off-road driving. In the self-driving car market, autonomous SUVs hold promise for a wide range of applications, from luxury autonomous shuttles to self-driving delivery vehicles, catering to diverse consumer needs and preferences.
• Coupes and sports cars are known for their performance and style, appealing to enthusiasts and thrill-seekers. While the adoption of autonomous technology in these vehicles may initially face resistance from traditionalists, self-driving capabilities could enhance safety and offer advanced driver assistance features without compromising the driving experience.
• Regardless of vehicle type, the self-driving car market is driving the integration of autonomous technology across the automotive industry. As regulations evolve and consumer acceptance grows, automakers are investing in research and development to bring autonomous features to market, paving the way for a future where self-driving cars are commonplace on roads worldwide.

Self-Driving Car Market Regional Insights:

Asia Pacific dominated the largest market in 2023

• Asia-Pacific nations, with South Korea, Japan, and China in particular, are at the vanguard of automotive technological innovation. Autonomous vehicle technology advances are propelled by the robust ecosystems of technology companies, research institutions, and government support that these nations possess.
• Rapid urbanization is occurring in the Asia-Pacific region, which has increased the demand for sustainable and effective transportation solutions. Autonomous vehicles have the capacity to mitigate traffic congestion, decrease greenhouse gas emissions, and improve mobility in highly populated urban regions.
• Governments throughout the Asia Pacific region are proactively endorsing the progress and widespread acceptance of autonomous vehicles by means of regulatory frameworks, funding initiatives, and supportive policies. Their respective endeavors are designed to establish their nations as frontrunners in the worldwide autonomous vehicle industry and foster economic expansion.
• Strategic alliances and collaborations are being established by automakers, tech titans, and startups based in the Asia Pacific region with the aim of expediting the advancement and implementation of autonomous vehicles. By capitalizing on complementary capabilities and assets, these alliances surmount technological obstacles and propel market penetration.
• In general, the Asia Pacific region's pre-eminence in the autonomous vehicle industry can be attributed to its dedication to urban sustainability, strategic cooperation, and innovation, which positions it as a significant catalyst for the worldwide expansion of autonomous mobility.

Active Key Players in the Self-Driving Car Market

• Autoliv Inc.  (Sweden)
• Aptiv (Ireland)
• Daimler AG (Germany)
• Baidu (China)
• AutoX, Inc. (US)
• HYUNDAI MOTOR GROUP (South Korea)
• Volvo (Sweden)
• Pony.ai (US)
• Ford Motor Company (US)
• Waymo LLC (US) 
• Robert Bosch GmbH (Germany), and Others Key Players

1. INTRODUCTION
   1. RESEARCH OBJECTIVES
   2. RESEARCH METHODOLOGY
   3. RESEARCH PROCESS
   4. SCOPE AND COVERAGE
      1. Market Definition
      2. Key Questions Answered
   5. MARKET SEGMENTATION
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
4. GROWTH OPPORTUNITIES BY SEGMENT
5. MARKET LANDSCAPE
   1. PORTER’S FIVE FORCES ANALYSIS
      1. Bargaining Power Of Supplier
      2. Threat Of New Entrants
      3. Threat Of Substitutes
      4. Competitive Rivalry
      5. Bargaining Power Among Buyers
   2. INDUSTRY VALUE CHAIN ANALYSIS
   3. MARKET DYNAMICS
      1. Drivers
      2. Restraints
      3. Opportunities
      4. Challenges
   4. MARKET TREND ANALYSIS
   5. REGULATORY LANDSCAPE
   6. PESTLE ANALYSIS
   7. PRICE TREND ANALYSIS
   8. PATENT ANALYSIS
   9. TECHNOLOGY EVALUATION
   10. MARKET IMPACT OF THE RUSSIA-UKRAINE WAR
       1. Geopolitical Market Disruptions
       2. Supply Chain Disruptions
       3. Instability in Emerging Markets
   11. ECOSYSTEM
6. SELF- DRIVING CAR MARKET BY COMPONENT (2017-2032)
   1. SELF- DRIVING CAR MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. RADAR
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. LIDAR
   5. ULTRASONIC
   6. CAMERA UNIT
7. SELF- DRIVING CAR MARKET BY VEHICLE (2017-2032)
   1. SELF- DRIVING CAR MARKET SNAPSHOT AND GROWTH ENGINE
   2. MARKET OVERVIEW
   3. HATCHBACK
      1. Introduction And Market Overview
      2. Historic And Forecasted Market Size in Value (2017 – 2032F)
      3. Historic And Forecasted Market Size in Volume (2017 – 2032F)
      4. Key Market Trends, Growth Factors And Opportunities
      5. Geographic Segmentation Analysis
   4. COUPE & SPORTS CAR
   5. SEDAN
   6.  SUV
8. COMPANY PROFILES AND COMPETITIVE ANALYSIS
   1. COMPETITIVE LANDSCAPE
      1. Competitive Positioning
      2. Self- Driving Car Market Share By Manufacturer (2023)
      3. Industry BCG Matrix
      4. Heat Map Analysis
      5. Mergers & Acquisitions
   2. AUTOLIV INC.  (SWEDEN)
      1. Company Overview
      2. Key Executives
      3. Company Snapshot
      4. Role of the Company in the Market
      5. Sustainability and Social Responsibility
      6. Operating Business Segments
      7. Product Portfolio
      8. Business Performance (Production Volume, Sales Volume, Sales Margin, Production Capacity, Capacity Utilization Rate)
      9. Key Strategic Moves And Recent Developments
      10. SWOT Analysis
   3. APTIV (IRELAND)
   4. DAIMLER AG (GERMANY)
   5. BAIDU (CHINA)
   6. AUTOX, INC. (US)
   7. HYUNDAI MOTOR GROUP (SOUTH KOREA)
   8. VOLVO (SWEDEN)
   9. PONY.AI (US)
   10. FORD MOTOR COMPANY (US)
   11. WAYMO LLC (US)
   12. ROBERT BOSCH GMBH (GERMANY)
9. GLOBAL SELF- DRIVING CAR MARKET BY REGION
   1. OVERVIEW
   2. NORTH AMERICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Component
      4. Historic And Forecasted Market Size By Vehicle
      5. Historic And Forecasted Market Size By Country
         1. USA
         2. Canada
         3. Mexico
   3. EASTERN EUROPE
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
         1. Russia
         2. Bulgaria
         3. The Czech Republic
         4. Hungary
         5. Poland
         6. Romania
         7. Rest Of Eastern Europe
   4. WESTERN EUROPE
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
         1. Germany
         2. United Kingdom
         3. France
         4. The Netherlands
         5. Italy
         6. Spain
         7. Rest Of Western Europe
   5. ASIA PACIFIC
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
         1. China
         2. India
         3. Japan
         4. South Korea
         5. Malaysia
         6. Thailand
         7. Vietnam
         8. The Philippines
         9. Australia
         10. New-Zealand
         11. Rest Of APAC
   6. MIDDLE EAST & AFRICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
         1. Turkey
         2. Bahrain
         3. Kuwait
         4. Saudi Arabia
         5. Qatar
         6. UAE
         7. Israel
         8. South Africa
   7. SOUTH AMERICA
      1. Key Market Trends, Growth Factors And Opportunities
      2. Key Manufacturers
      3. Historic And Forecasted Market Size By Segments
      4. Historic And Forecasted Market Size By Country
         1. Brazil
         2. Argentina
         3. Rest of South America
10. INVESTMENT ANALYSIS
11. ANALYST VIEWPOINT AND CONCLUSION
    1. Recommendations and Concluding Analysis
    2. Potential Market Strategies

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. SELF-DRIVING CAR MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. SELF-DRIVING CAR MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. SELF-DRIVING CAR MARKET COMPETITIVE RIVALRY
TABLE 005. SELF-DRIVING CAR MARKET THREAT OF NEW ENTRANTS
TABLE 006. SELF-DRIVING CAR MARKET THREAT OF SUBSTITUTES
TABLE 007. SELF-DRIVING CAR MARKET BY TYPE
TABLE 008. SEMI-AUTONOMOUS VEHICLES MARKET OVERVIEW (2016-2028)
TABLE 009. FULLY-AUTONOMOUS VEHICLES MARKET OVERVIEW (2016-2028)
TABLE 010. SELF-DRIVING CAR MARKET BY VEHICLETYPE
TABLE 011. PASSENGER CARS MARKET OVERVIEW (2016-2028)
TABLE 012. COMMERCIAL VEHICLES MARKET OVERVIEW (2016-2028)
TABLE 013. SELF-DRIVING CAR MARKET BY LEVEL OF AUTONOMATION
TABLE 014. LEVEL 1 MARKET OVERVIEW (2016-2028)
TABLE 015. LEVEL 2 MARKET OVERVIEW (2016-2028)
TABLE 016. LEVEL 3 MARKET OVERVIEW (2016-2028)
TABLE 017. LEVEL 4 MARKET OVERVIEW (2016-2028)
TABLE 018. LEVEL 5 MARKET OVERVIEW (2016-2028)
TABLE 019. SELF-DRIVING CAR MARKET BY APPLICATION
TABLE 020. TRANSPORTATION MARKET OVERVIEW (2016-2028)
TABLE 021. DEFENSE MARKET OVERVIEW (2016-2028)
TABLE 022. NORTH AMERICA SELF-DRIVING CAR MARKET, BY TYPE (2016-2028)
TABLE 023. NORTH AMERICA SELF-DRIVING CAR MARKET, BY VEHICLETYPE (2016-2028)
TABLE 024. NORTH AMERICA SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMATION (2016-2028)
TABLE 025. NORTH AMERICA SELF-DRIVING CAR MARKET, BY APPLICATION (2016-2028)
TABLE 026. N SELF-DRIVING CAR MARKET, BY COUNTRY (2016-2028)
TABLE 027. EUROPE SELF-DRIVING CAR MARKET, BY TYPE (2016-2028)
TABLE 028. EUROPE SELF-DRIVING CAR MARKET, BY VEHICLETYPE (2016-2028)
TABLE 029. EUROPE SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMATION (2016-2028)
TABLE 030. EUROPE SELF-DRIVING CAR MARKET, BY APPLICATION (2016-2028)
TABLE 031. SELF-DRIVING CAR MARKET, BY COUNTRY (2016-2028)
TABLE 032. ASIA PACIFIC SELF-DRIVING CAR MARKET, BY TYPE (2016-2028)
TABLE 033. ASIA PACIFIC SELF-DRIVING CAR MARKET, BY VEHICLETYPE (2016-2028)
TABLE 034. ASIA PACIFIC SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMATION (2016-2028)
TABLE 035. ASIA PACIFIC SELF-DRIVING CAR MARKET, BY APPLICATION (2016-2028)
TABLE 036. SELF-DRIVING CAR MARKET, BY COUNTRY (2016-2028)
TABLE 037. MIDDLE EAST & AFRICA SELF-DRIVING CAR MARKET, BY TYPE (2016-2028)
TABLE 038. MIDDLE EAST & AFRICA SELF-DRIVING CAR MARKET, BY VEHICLETYPE (2016-2028)
TABLE 039. MIDDLE EAST & AFRICA SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMATION (2016-2028)
TABLE 040. MIDDLE EAST & AFRICA SELF-DRIVING CAR MARKET, BY APPLICATION (2016-2028)
TABLE 041. SELF-DRIVING CAR MARKET, BY COUNTRY (2016-2028)
TABLE 042. SOUTH AMERICA SELF-DRIVING CAR MARKET, BY TYPE (2016-2028)
TABLE 043. SOUTH AMERICA SELF-DRIVING CAR MARKET, BY VEHICLETYPE (2016-2028)
TABLE 044. SOUTH AMERICA SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMATION (2016-2028)
TABLE 045. SOUTH AMERICA SELF-DRIVING CAR MARKET, BY APPLICATION (2016-2028)
TABLE 046. SELF-DRIVING CAR MARKET, BY COUNTRY (2016-2028)
TABLE 047. TESLA INC.: SNAPSHOT
TABLE 048. TESLA INC.: BUSINESS PERFORMANCE
TABLE 049. TESLA INC.: PRODUCT PORTFOLIO
TABLE 050. TESLA INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. VOLKSWAGEN AG: SNAPSHOT
TABLE 051. VOLKSWAGEN AG: BUSINESS PERFORMANCE
TABLE 052. VOLKSWAGEN AG: PRODUCT PORTFOLIO
TABLE 053. VOLKSWAGEN AG: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. TOYOTA MOTOR CORPORATION: SNAPSHOT
TABLE 054. TOYOTA MOTOR CORPORATION: BUSINESS PERFORMANCE
TABLE 055. TOYOTA MOTOR CORPORATION: PRODUCT PORTFOLIO
TABLE 056. TOYOTA MOTOR CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. HONDA MOTOR CO. LTD.: SNAPSHOT
TABLE 057. HONDA MOTOR CO. LTD.: BUSINESS PERFORMANCE
TABLE 058. HONDA MOTOR CO. LTD.: PRODUCT PORTFOLIO
TABLE 059. HONDA MOTOR CO. LTD.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. UBER TECHNOLOGIES INC.: SNAPSHOT
TABLE 060. UBER TECHNOLOGIES INC.: BUSINESS PERFORMANCE
TABLE 061. UBER TECHNOLOGIES INC.: PRODUCT PORTFOLIO
TABLE 062. UBER TECHNOLOGIES INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. GOOGLE LLC: SNAPSHOT
TABLE 063. GOOGLE LLC: BUSINESS PERFORMANCE
TABLE 064. GOOGLE LLC: PRODUCT PORTFOLIO
TABLE 065. GOOGLE LLC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. DAIMLER AG: SNAPSHOT
TABLE 066. DAIMLER AG: BUSINESS PERFORMANCE
TABLE 067. DAIMLER AG: PRODUCT PORTFOLIO
TABLE 068. DAIMLER AG: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. VOLVO CAR CORPORATION: SNAPSHOT
TABLE 069. VOLVO CAR CORPORATION: BUSINESS PERFORMANCE
TABLE 070. VOLVO CAR CORPORATION: PRODUCT PORTFOLIO
TABLE 071. VOLVO CAR CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. AUDI AG: SNAPSHOT
TABLE 072. AUDI AG: BUSINESS PERFORMANCE
TABLE 073. AUDI AG: PRODUCT PORTFOLIO
TABLE 074. AUDI AG: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. FORD MOTOR COMPANY: SNAPSHOT
TABLE 075. FORD MOTOR COMPANY: BUSINESS PERFORMANCE
TABLE 076. FORD MOTOR COMPANY: PRODUCT PORTFOLIO
TABLE 077. FORD MOTOR COMPANY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. ROBERT BOSCH GMBH: SNAPSHOT
TABLE 078. ROBERT BOSCH GMBH: BUSINESS PERFORMANCE
TABLE 079. ROBERT BOSCH GMBH: PRODUCT PORTFOLIO
TABLE 080. ROBERT BOSCH GMBH: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. BMW AG: SNAPSHOT
TABLE 081. BMW AG: BUSINESS PERFORMANCE
TABLE 082. BMW AG: PRODUCT PORTFOLIO
TABLE 083. BMW AG: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 084. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 085. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 086. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. SELF-DRIVING CAR MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. SELF-DRIVING CAR MARKET OVERVIEW BY TYPE
FIGURE 012. SEMI-AUTONOMOUS VEHICLES MARKET OVERVIEW (2016-2028)
FIGURE 013. FULLY-AUTONOMOUS VEHICLES MARKET OVERVIEW (2016-2028)
FIGURE 014. SELF-DRIVING CAR MARKET OVERVIEW BY VEHICLETYPE
FIGURE 015. PASSENGER CARS MARKET OVERVIEW (2016-2028)
FIGURE 016. COMMERCIAL VEHICLES MARKET OVERVIEW (2016-2028)
FIGURE 017. SELF-DRIVING CAR MARKET OVERVIEW BY LEVEL OF AUTONOMATION
FIGURE 018. LEVEL 1 MARKET OVERVIEW (2016-2028)
FIGURE 019. LEVEL 2 MARKET OVERVIEW (2016-2028)
FIGURE 020. LEVEL 3 MARKET OVERVIEW (2016-2028)
FIGURE 021. LEVEL 4 MARKET OVERVIEW (2016-2028)
FIGURE 022. LEVEL 5 MARKET OVERVIEW (2016-2028)
FIGURE 023. SELF-DRIVING CAR MARKET OVERVIEW BY APPLICATION
FIGURE 024. TRANSPORTATION MARKET OVERVIEW (2016-2028)
FIGURE 025. DEFENSE MARKET OVERVIEW (2016-2028)
FIGURE 026. NORTH AMERICA SELF-DRIVING CAR MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 027. EUROPE SELF-DRIVING CAR MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 028. ASIA PACIFIC SELF-DRIVING CAR MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 029. MIDDLE EAST & AFRICA SELF-DRIVING CAR MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 030. SOUTH AMERICA SELF-DRIVING CAR MARKET OVERVIEW BY COUNTRY (2016-2028)