Autonomous / Self-Driving Cars Market

Autonomous / Self-Driving Cars Market by Component (Radar, LiDAR, Ultrasonic, & Camera Unit), Vehicle (Hatchback, Coupe & Sports Car, Sedan, SUV), Level of Autonomy (L1, L2, L3, L4, L5), Mobility Type, EV and Region - Global Forecast to 2030

Report Code: AT 2090 Jan, 2022, by marketsandmarkets.com

[397 Pages Report] The global Autonomous / Self-driving Cars Market size is projected to grow from 20.3 million units in 2021 to 62.4 million units by 2030, at a CAGR of 13.3%. The growth of the market is driven by the growing demand for driver assistance systems and stringent safety mandates for a safer driving experience.

Safety features are an important prerequisite for automotive customers across the world. Governments across the world have mandated the incorporation of features such as lane departure warning (LDW) and automatic emergency braking (AEB) paving way for new technologies and Autonomous / Self-driving cars . Different types of safety features have, therefore, been developed to assist drivers and lower the number of accidents. It is expected that the emergence of robo-taxis will be one of the key revenue-generating segment for Autonomous / Self-driving cars .

The key strategy followed by Autonomous / Self-driving cars  is the development of ADAS features. Companies such as Ford (US), General Motors (US), Daimler (Germany), and Toyota (Japan) are developing their ADAS technology. These companies are using their vehicles that are equipped with various ADAS features and achieve autonomy of level 2 and 3. The companies offer a diverse product portfolio with advanced features that include Blind Spot Information System, Lane Keeping System, and Intelligent Adaptive Cruise Control. Hence, the adoption of ADAS features is craving a way for the Autonomous / Self-driving cars .

Asia Pacific is expected to account for the largest market share by 2030, followed by Europe and North America. Increasing demand for a safe, efficient, and convenient driving experience; rising disposable income in emerging economies; and stringent safety regulations across the globe are factors driving the Autonomous / Self-driving cars Market. The market in Asia Pacific is expected to grow at the highest rate during the forecast period owing to increased partnerships adopted by Autonomous / Self-driving cars  technology providers in this region. For example, Baidu is a major service provider of Autonomous / Self-driving cars  technology in China. This company has already successfully test-driven more than 1 million miles in more than 13 Chinese cities. It is partnering with Ford and NVIDIA to increase investments for autonomous / self-driving vehicles in China. Asia Pacific also has one of the largest ride-sharing industries. The increase in government support and the availability of suitable infrastructure for Autonomous / Self-driving cars  are likely to drive market growth in the region.

Self-driving Cars Market

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Driver: Introduction of AI-based camera systems for autonomous / self-driving applications

Numerous tier-1 suppliers and autonomous / self-driving car developers are focusing on the development and adoption of AI-based cameras as these systems offer safety features, such as adaptive cruise control, adaptive headlamp control, traffic sign recognition, forward collision warning, pedestrian detection, and automated braking. Advantages of AI camera systems include cost-savings, the fusion of various complementary technologies for reliable safety, and highly compact form factor.

Robert Bosch, one of the leading manufacturers of camera systems for Autonomous / Self-driving cars , has developed an AI-based camera MPC3 for autonomous / self-driving vehicles. The MPC3 marks a major stride toward autonomous / self-driving vehicles, an advance impelled mainly by artificial intelligence. The Bosch team took a multi-path approach to develop the camera. Its engineers and programmers created a software architecture that combines conventional image-processing algorithms with AI-driven methods and embedded it on a high-performance system-on-chip (SoC) with an integrated microprocessor. This enables peerless scene understanding and reliable object recognition. The AI camera works in three stages. The first path is the conventional approach already in use. With the help of machine learning, classifiers are trained to recognize and classify specific objects such as vehicles and pedestrians. In the second path, the camera taps into the optical-flow and structure-from-motion (SfM) imaging to detect raised objects bounding the road, such as curbstones. It computes three-dimensional structures based on corresponding points in images, the motion sequences of which are tracked. The third path puts artificial intelligence to good use. For another first in object detection, this new generation of multipurpose cameras can distinguish the roadway from the shoulder or identify discrete objects.

It uses neural networks and semantic segmentation that assigns each pixel of an image to a defined category. This is a huge advantage as road markings are no longer required to keep a autonomous / self-driving car safely on track. Errors can be minimized by combining all three detection paths.

Restraint: Lack of required infrastructure in emerging countries

Autonomous / Self-driving cars  require basic infrastructures such as well-organized roads, lane marking, and GPS connectivity for effective functioning. V2V and V2X communications also require adequate connectivity infrastructure. On highways, information such as lane change, object detection, the distance between vehicles, traffic, and services such as navigation and connectivity are critical in semi-autonomous and autonomous vehicles. However, vehicles are not connected to each other or to cloud data due to the limited network connectivity on highways.

 In emerging countries like Mexico, Brazil, and India, the development of IT infrastructure on highways is slow as compared to developed economies. 3G and 4G-LTE communication networks, which are required for connectivity, are limited to urban and semi-urban areas. Several third-party logistics companies operate in semi-urban and rural areas, issues of low connectivity still persist. These emerging countries also need support from the government for the adoption of autonomous / self-driving vehicles. Therefore, the lack of information technology communication infrastructure and the lack of government regulations are major restraints for the growth of Autonomous / Self-driving cars  in emerging regions.

Poor infrastructure outside urban areas, cost considerations, and poor driving training or driving discipline restrain the growth of the Autonomous / Self-driving cars Market in these countries. In addition, financial crises due to the ongoing COVID-19 pandemic will further delay the development of modern infrastructure for intelligent transportation.

Opportunity: Increasing developments in autonomous shared mobility

Autonomous / Self-driving cars  can operate with little or no human intervention. These vehicles are being developed for a reduction in accidents caused due to human errors, reduction in traffic congestion, and hassle-free transport. The development of autonomous vehicles will fuel the growth of ride-sharing. According to the Future of Driving report from Ohio University, with the use of autonomous taxis, the waiting time for a cab would come down from an average of 5 minutes to just 36 seconds. With autonomous ride-sharing, the cost of a ride would come down to just USD 0.5 per mile. For example, according to secondary research, Uber’s per ride charges are ~USD 2/mile, of which Uber takes ~50 cents, and USD 1.50 is with the driver. For an autonomous car or robo-taxi instead of a driver-driven car, Uber can straightaway charge a customer ~USD 1 per mile and earn additional ~50 cents per mile. However, the overhead costs such as the maintenance of a car, navigation, and payment services would be a part of it. Autonomous / Self-driving cars  would also solve the problem of the first and last mile.

Challenge: High system and component cost

Autonomous / Self-driving cars  comprise various components, and their configuration differs according to the features and the technology used in them. These systems comprise micro-controller units, electronic control units, and various sensors. The control units use different sensors such as radar, LiDAR, ultrasonic, image, radio or laser sensors, and infrared sensors. The systems also incorporate a human-machine interface, which assists or alerts the driver whenever required.

The growing demand for autonomous vehicles and increasing expectations from consumers have led to increased competition between OEMs. Innovation plays a key role in meeting these demands and expectations and is an important factor in the automotive industry. Regulatory compliance is also a key factor responsible for the current wave of automotive innovation. Another factor driving innovation is the increasing number of software-driven electronic components in vehicles today. These components enable quicker innovations not only in telematics and on-board infotainment but also in features related to vehicle handling, safety, service, reliability, and performance.

The installation of new systems, prompted by either consumer demand or regulatory compliance, eventually increases the overall cost of the vehicle. Although cost is not an area of concern for the premium segment cars, it is one of the important criteria for small and medium segment cars. The rising cost of the vehicle limits the installation of LiDAR or costly systems in the vehicles and could thereby hamper the market growth. Hence, automakers are trying to offer efficient features at reasonable prices.

Personal mobility account for a major share of the market during the forecast period

The Autonomous / Self-driving cars Market for the commercial mobility segment is projected to grow fastest during the forecast period. Ride-sharing, robo-taxi, goods transportation, and other commercial activities are considered in the commercial mobility segment. The introduction of robo-taxis is expected to present new challenges regarding car ownership or mobility as a service model. Car companies producing generic, as well as robo-taxis, are adopting advanced production technologies. In robo-taxis, testing is higher for cars rather than large transport vehicles. Waymo was one of the first companies to charge people for rides in self-driving Waymo One, which had human backup drivers. Chrysler has supplied thousands of Chrysler Pacifica minivans to Waymo. The collaboration is expected to open a new business model for companies developing or working on robo-taxis. AutoX and Optimus Ride are some of the companies offering autonomous cars as robo-taxis.

In the long term, level 4 and level 5 Autonomous / Self-driving cars  will be used for shared mobility. Currently, numerous companies are investing in the development of robo-taxis and autonomous vehicles for ride-sharing, ride-hailing, robo-taxi, and car-sharing purposes. A robo-taxi combines the benefits of an autonomous vehicle and e-cab hailing services by operating without a driver and focusing on Mobility as a Service (MaaS). It is expected to reduce the cost of ownership and improve fleet management. It would offer a safe, convenient, and economical mode of transportation. Many OEMs partnered with autonomous driving system providers and fleet managers to launch robo-taxi services. Since most developments can be witnessed in the field of electric vehicles, the robo-taxi market may initially feature electrically-propelled vehicles.

Companies such as AutoX, Baidu, Waymo, EasyMile, Navya, Optimus Ride, and Yandex are offering robo-taxis, which can be used for passenger transportation. Pony.ai has been one of the pioneering companies to test modified autonomous vehicles for last-mile delivery services since 2020. The company also plans to launch a driverless robo-taxi service in California by 2022. Governments in emerging countries are ready to revamp urban roads and traffic infrastructure. With rapid urbanization and increased implementation of smart cities, governments are spending a number of resources on developing smart roads, smart traffic signal systems, better wireless connections, new road sensors, and better road signs.

The Asia Pacific region is projected to be the fastest-growing Autonomous / Self-driving cars Market, by 2030

Asia Pacific is expected to account for the largest market share by 2030, followed by Europe and North America. Increasing demand for a safe, efficient, and convenient driving experience; rising disposable income in emerging economies; and stringent safety regulations across the globe are factors driving the Autonomous / Self-driving cars Market. The market in Asia Pacific is expected to grow at the highest rate during the forecast period owing to increased partnerships adopted by Autonomous / Self-driving cars  technology providers in this region. For example, Baidu is a major service provider of autonomous / self-driving technology in China. This company has already successfully test-driven more than 1 million miles in more than 13 Chinese cities. It is partnering with Ford and NVIDIA to increase investments for autonomous / self-driving vehicles in China. Asia Pacific also has one of the largest ride-sharing industries.

Asia Oceania region comprises countries such as China, Japan, India, South Korea and Thailand. In recent years, China has emerged as a hub for automobile production. Infrastructural developments and industrialization activities in emerging economies have opened new avenues, creating several opportunities for automotive OEMs. The growing technological advancements in China have increased the demand for semi-autonomous vehicles, which is going to increase the market for Autonomous / Self-driving cars .

Self-driving Cars Market by Region

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Key Market Players

The Autonomous / Self-driving cars Market is dominated by global players such as General Motors (US), Ford (US), Daimler (Germany), Volkswagen (Germany), Toyota (Japan) and Waymo (US). These companies have adopted strategies such as new product development, expansion, collaborations, partnerships, and mergers & acquisitions to gain traction in the Autonomous cars Market. Partnership and collaboration are the most widely adopted strategies by major players.

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Scope of the Report

Report Metric

Details

Market size available for years

2018–2030

Base year considered

2020

Forecast period

2021–2030

Forecast units

Volume (‘000 Units) and Value (USD Million)

Segments covered

Component, Electric Vehicle, Mobility Type, Level of Autonomy, Vehicle Type, System and Region

Geographies covered

North America, Asia Pacific, Europe, and Rest of the World

Companies Covered

General Motors (US), Ford (US), Daimler (Germany), Volkswagen (Germany), Toyota (Japan) and Waymo (US).
More than 30 major players are covered under the report.

This research report categorizes the Autonomous / Self-driving cars Market based on component, mobility type, electric vehicle, system, level of autonomy, vehicle type, and region

Autonomous Vehicle Market, Based on Component:

  • Camera Unit
  • LiDAR
  • Radar Sensor
  • Ultrasonic Sensor
  • Infrared Sensor

Autonomous Vehicle Market, Based on Mobility Type:

  • Shared Mobility
  • Personal Mobility

Autonomous Vehicle Market, Based on Electric Vehicle:

  • Battery Electric Vehicles (BEV)
  • Hybrid Electric Vehicles (HEV)
  • Plug-in Hybrid Electric Vehicle (PHEV)
  • Fuel Cell Electric Vehicle (FCEV)

Autonomous Vehicle Market, Based on System:

  • Adaptive Cruise Control (ACC)
  • Adaptive Front Light (AFL)
  • Automatic Emergency Braking (AEB)
  • Blind Spot Detection (BSD)
  • Cross Traffic Alert (CTA)
  • Driver Monitoring System (DMS)
  • Forward Collision Warning (FCW)
  • Intelligent Park Assist (IPA)
  • Lane Departure Warning (LDW)
  • Night Vision System (NVS)
  • Pedestrian Detection System (PDS)
  • Road Sign Recognition (RSR)
  • Tire Pressure Monitoring System (TPMS)
  • Traffic Jam Assist (TJA)

Autonomous Vehicle Market, Based on Level of Autonomy:

  • L1
  • L2
  • L3
  • L4
  • L5

Autonomous Vehicle Market, Based on Vehicle Type:

  • Hatchback
  • Coupe & Sports Car
  • Sedan
  • SUV
  • Others

Autonomous Vehicle Market, Based on the Region:

  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Thailand
    • Rest of Asia Pacific
  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • Russia
    • Italy
    • Spain
    • Turkey
    • UK
    • Rest of Europe
  • Rest of the World
    • Brazil
    • South Africa
    • Others in RoW

Recent Developments

  • In September 2021, Honda Motor Co., Ltd. announced the start of a testing program for autonomous vehicles, which was a step toward an autonomous vehicle mobility service (MaaS) business in Japan, which Honda is planning to launch under collaboration with Cruise and General Motors.
  • In September 2021, General Motors Co's venture capital arm announced an investment in a startup Oculii based in the US. Which develops software for radar sensors for Autonomous / Self-driving cars . This investment will allow GM to use Oculli's low-cost software to boost the resolution of radars and scale up its partially automated vehicles and fully Autonomous / Self-driving cars .
  • In September 2021, Mercedes-Benz announced to integrate the first brain-computer interface (BCI) approaches with its pioneering VISION AVTR concept vehicle. The biometric interaction with the vehicle is complemented by a direct connection to the human brain. After a short calibration process, a BCI device attached to the user's head analyses the measured brain waves and triggers a defined function. A BCI device records brain activity and establishes a direct connection to the vehicle after a one-minute calibration. The brain reacts to the visual stimuli on the dashboard. The biometric connection enables a completely new interaction between man, machine, and nature in the autonomous-driving concept vehicle.
  • In June 2021, Waymo unveiled fifth-generation Waymo Driver, which can be applied to multiple vehicle platforms and use cases, from moving people with Waymo One to transporting goods with Waymo Via. Waymo’s fifth-generation Driver carefully curates the placement of lidar, cameras, and radar to offer the overlapping field of views, with high dynamic range and thermal stability for more complex environments. The company also optimized its design for all-weather performance by incorporating weatherproof materials and mechanisms, along with new wipers and nozzles, to ensure it can see through any condition. Waymo has made its sensors as a separate design element from the vehicle platform, which can be used on several locations on the vehicle, with simple and pure forms to integrate sensors harmoniously across unique vehicle platforms. With its fifth-generation Driver, Waymo shows its branding through design form, application of logos and wordmarks, while ensuring the design works for multiple vehicles, whether a minivan, SUV, or class-8 truck.
  • In October 2020, Ford Motor announced its plan to launch its autonomous / self-driving commercial business by 2022 with vehicles based on the Ford Escape Hybrid crossover. The company planned to begin testing alongside its current fleet of roughly 100 autonomous test vehicles that are based off the Fusion Hybrid sedan, which the company is no longer producing. Ford initially planned to launch commercial autonomous / self-driving vehicle business in 2021 but delayed it until 2022 due to the COVID-19 pandemic.
  • In June 2020, Mercedes-Benz and NVIDIA entered into a partnership to create a revolutionary in-vehicle computing system and AI computing infrastructure. This will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling them with upgradable automated driving functions. Working together, the companies plan to develop the most sophisticated and advanced computing architecture.
  • In March 2020, Momenta has announced a strategic cooperation with Toyota to provide automated technology and updates through vision-based technologies. With this joint development, both companies aim to promote the commercialization of Toyota’s Automated Mapping Platform (AMP) in the China market to better serve Chinese customers.
  • In January 2020, Momenta, together with Texas Instruments, unveiled the latest front camera perception product deployed on TI’s latest Jacinto TDA4VM SoC (System on Chip) at the 54th International Consumer Electronics Show (CES 2020), which can help automakers meet the safety requirements for new cars, including Euro NCAP 2022/2024. Momenta is developing a new generation of ADAS solutions based on TI Jacinto TDA4VM SoCs to meet the ever-increasing consumer demands for driving comfort and safety. Momenta’s industry-leading front camera perception and high precision localization algorithms, combined with TI's Jacinto TDA4 processor for ADAS applications, and wide-angle high-resolution cameras, provide effective object detection at long distances and in complex scenarios.

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TABLE OF CONTENTS

1 INTRODUCTION (Page No. - 39)
    1.1 OBJECTIVES OF STUDY
    1.2 MARKET DEFINITION
           1.2.1 INCLUSIONS & EXCLUSIONS
                    TABLE 1 INCLUSIONS & EXCLUSIONS FOR SELF-DRIVING CARS MARKET
    1.3 MARKET SCOPE
          FIGURE 1 SELF-DRIVING CARS: MARKET SEGMENTATION
    1.4 YEARS CONSIDERED FOR THE STUDY
    1.5 LIMITATIONS
    1.6 STAKEHOLDERS
    1.7 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY (Page No. - 48)
    2.1 RESEARCH DATA
          FIGURE 2 SELF-DRIVING CARS MARKET: RESEARCH DESIGN
          FIGURE 3 RESEARCH DESIGN MODEL
    2.2 SECONDARY DATA
           2.2.1 KEY SECONDARY SOURCES FOR BASE NUMBERS
           2.2.2 KEY SECONDARY SOURCES FOR MARKET SIZING
           2.2.3 KEY DATA FROM SECONDARY SOURCES
    2.3 PRIMARY DATA
          FIGURE 4 BREAKDOWN OF PRIMARY INTERVIEWS
           2.3.1 PRIMARY PARTICIPANTS
    2.4 MARKET SIZE ESTIMATION
           2.4.1 BOTTOM-UP APPROACH
                    FIGURE 5 BOTTOM-UP APPROACH: SELF-DRIVING CARS MARKET
                    FIGURE 6 DETAILED ILLUSTRATION OF BOTTOM-UP APPROACH
           2.4.2 TOP-DOWN APPROACH
                    FIGURE 7 TOP-DOWN APPROACH: SELF-DRIVING CARS MARKET
                    FIGURE 8 SELF-DRIVING CARS MARKET: RESEARCH DESIGN & METHODOLOGY
    2.5 MARKET BREAKDOWN
    2.6 FACTOR ANALYSIS
          TABLE 2 IMPACT OF VARIOUS FACTORS ON GROWTH OF SELF-DRIVING CARS MARKET
    2.7 ASSUMPTIONS
           2.7.1 KEY RESEARCH ASSUMPTIONS
           2.7.2 OTHER RESEARCH ASSUMPTIONS
    2.8 RISK ASSESSMENT & RANGES
          TABLE 3 RISK ASSESSMENT & RANGES

3 EXECUTIVE SUMMARY (Page No. - 65)
    FIGURE 9 SELF-DRIVING CARS: MARKET OVERVIEW
    FIGURE 10 PERSONAL MOBILITY SEGMENT EXPECTED TO LEAD SELF-DRIVING CARS MARKET FROM 2021 TO 2030

4 PREMIUM INSIGHTS (Page No. - 70)
    4.1 ATTRACTIVE OPPORTUNITIES IN THE SELF-DRIVING CARS MARKET
          FIGURE 11 INCREASING DEMAND FOR LEVEL 1 AND LEVEL 2 CARS AND RISING INVESTMENT IN DEVELOPMENT OF LEVEL 4 AND LEVEL 5 CARS WILL PROPEL MARKET
    4.2 SELF-DRIVING CARS MARKET, BY REGION
          FIGURE 12 SELF-DRIVING CARS MARKET IN REST OF THE WORLD PROJECTED TO GROW AT HIGHEST CAGR FROM 2021−2030
    4.3 ASIA PACIFIC: SELF-DRIVING CARS MARKET, LEVEL OF AUTONOMY & COUNTRY
          FIGURE 13 ASIA PACIFIC: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTOMATION & COUNTRY, 2021 VS. 2030
    4.4 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE
          FIGURE 14 PERSONAL MOBILITY EXPECTED TO ACCOUNT FOR LARGEST SHARE OF MARKET BY 2030
    4.5 SELF-DRIVING CARS MARKET, BY COMPONENT TYPE
          FIGURE 15 RADAR SEGMENT EXPECTED TO LEAD MARKET DURING FORECAST PERIOD
    4.6 SELF-DRIVING CARS MARKET, BY TYPE
          FIGURE 16 SEDAN SEGMENT PROJECTED TO LEAD MARKET FROM 2021 TO 2030
    4.7 SELF-DRIVING CARS MARKET, BY ELECTRIC VEHICLE TYPE
          FIGURE 17 BEV SEGMENT DOMINATE MARKET DURING FORECAST PERIOD

5 MARKET OVERVIEW (Page No. - 75)
    5.1 INTRODUCTION
          FIGURE 18 EVOLUTION OF AUTOMATED SAFETY TECHNOLOGIES
    5.2 MARKET DYNAMICS
          FIGURE 19 SELF-DRIVING CARS MARKET DYNAMICS
           5.2.1 DRIVERS
                    5.2.1.1 Stringent vehicle safety regulations
                                TABLE 4 EUROPE: ANNUAL NUMBER OF ROAD ACCIDENT FATALITIES, BY COUNTRY (2019-2020)
                                FIGURE 20 EUROPE: ROAD ACCIDENT FATALITIES, BY MODE OF TRANSPORT (2017)
                                FIGURE 21 EUROPE: ROAD ACCIDENT FATALITIES PER MILLION HABITANTS, BY COUNTRY (2018)
                    5.2.1.2 Growing demand for safety and driving comfort features
                                FIGURE 22 ADVANCED ELECTRONICS FOR MORE SAFETY
                    5.2.1.3 Increasing demand for luxury vehicles
                    5.2.1.4 Introduction of AI-based camera systems for self-driving applications
                    5.2.1.5 Development of self-driving modular systems enabling OEMs to handpick the technology
                    5.2.1.6 Technological advancements
                    5.2.1.7 Growth in connected vehicle technology and dynamic mobility application
           5.2.2 RESTRAINTS
                    5.2.2.1 Lack of required infrastructure in emerging countries
                    5.2.2.2 Consumer acceptance of self-driving cars
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Development of ADAS technology
                    5.2.3.2 Increasing demand for 5G technology for vehicle connectivity
                    5.2.3.3 Rising demand for electric vehicles (EV)
                                TABLE 5 BATTERY ELECTRIC VEHICLE SALES, BY COUNTRY, 2017-2020 (UNITS)
                    5.2.3.4 Increasing developments in autonomous shared mobility
                    5.2.3.5 Increasing investments in LiDAR startups by automotive giants
           5.2.4 CHALLENGES
                    5.2.4.1 High system and component cost
                    5.2.4.2 Environmental constraints and security threats
                    5.2.4.3 Maintaining a balance between cost and quality
                    5.2.4.4 Real-time image processing in multi-camera systems
                    5.2.4.5 Creating and maintaining maps for self-driving cars
           5.2.5 IMPACT OF MARKET DYNAMICS
                    TABLE 6 SELF-DRIVING CARS MARKET: IMPACT OF MARKET DYNAMICS
    5.3 TRADE ANALYSIS
          TABLE 7 IMPORT DATA FOR HS CODE 8708, BY COUNTRY, 2016–2020 (USD THOUSAND)
          TABLE 8 EXPORT DATA FOR HS CODE 8708, BY COUNTRY, 2016–2020 (USD THOUSAND)
    5.4 CASE STUDY ANALYSIS
           5.4.1 MPILOT PARKING
           5.4.2 SENSOR PACKAGE FOR SELF-DRIVING CARS AND RELIABILITY TEST BY KONRAD-TECHNOLOGIES
           5.4.3 NVIDIA PROVIDES AN OPEN AV DEVELOPMENT PLATFORM, AN END-TO-END SOLUTION FOR SELF-DRIVING VEHICLES
           5.4.4 ZF RELEASES NEW AI-BASED SERVICES FOR ADVANCED DRIVER-ASSISTANCE SYSTEMS DEVELOPMENT
           5.4.5 RENESAS BOOSTS DEEP LEARNING DEVELOPMENT FOR ADAS AND AUTOMATED DRIVING APPLICATIONS
    5.5 PATENT ANALYSIS
    5.6 VALUE CHAIN ANALYSIS
          FIGURE 23 VALUE CHAIN ANALYSIS: SELF-DRIVING CARS MARKET
    5.7 SUPPLYCHAIN ANALYSIS: SELF-DRIVING CARS MARKET
          FIGURE 24 SUPPLYCHAIN ANALYSIS: SELF-DRIVING CARS MARKET
    5.8 ECOSYSTEM ANALYSIS: SELF-DRIVING CARS MARKET
          TABLE 9 SELF-DRIVING CARS MARKET: ROLE OF COMPANIES IN ECOSYSTEM
    5.9 PORTER’S FIVE FORCES
          FIGURE 25 PORTER’S FIVE FORCES: SELF-DRIVING CARS MARKET
    5.10 REGULATORY ANALYSIS
           TABLE 10 REGULATIONS REALATED TO ADAS AND RELATED COMPONENTS
           5.10.1 AUTONOMOUS VEHICLE REGULATION ACTIVITIES
                     TABLE 11 AUTONOMOUS VEHICLE REGULTION ACTIVITIES
           5.10.2 REVENUE SHIFT DRIVING SELF-DRIVING CARS MARKET GROWTH
                    FIGURE 26 REVENUE SHIFT DRIVING SELF-DRIVING CARS MARKET GROWTH

6 INDUSTRY TRENDS (Page No. - 107)
    6.1 TECHNOLOGY ANALYSIS
           6.1.1 INTRODUCTION
           6.1.2 SENSOR FUSION TECHNOLOGY
                    FIGURE 27 SENSOR FUSION TECHNOLOGY
                    6.1.2.1 ADAS sensor package and reliability test by Konrad-Technologies
           6.1.3 SENSOR TECHNOLOGY COMPARISON
           6.1.4 DEVELOPMENT OF IMAGING RADARS
           6.1.5 QUANTUM COMPUTING AND SELF DRIVING
           6.1.6 DEVELOPMENT OF AI-BASED CAMERAS FOR SELF-DRIVING VEHICLES
           6.1.7 ADAS APPLICATIONS
                    FIGURE 28 ADAS APPLICATIONS
           6.1.8 AUTONOMOUS VEHICLES: CYBERSECURITY AND DATA PRIVACY
                    FIGURE 29 DATA FROM AN AUTONOMOUS VEHICLE
           6.1.9 CELLULAR V2X (C-V2X)
                    TABLE 12 CUMULATIVE GAIN WHILE USING 5G NR (NEW RADIO) C-V2X
                    6.1.9.1 LTE-V2X
                    6.1.9.2 5G-V2X
           6.1.10 IMPACT OF SELF-DRIVING CARS ON RIDE HAILING
                     TABLE 13 LEVELS OF AUTOMATION
                    6.1.10.1 Impact of automation L2 on ride-hailing
                    6.1.10.2 Impact of automation L3 on ride-hailing
                    6.1.10.3 Impact of automation L4/L5 on ride hailing
                                 TABLE 14 SELF-DRIVING CARS FOR RIDE HAILING: NEW PRODUCT/SERVICE DEVELOPMENTS
                                 TABLE 15 SELF-DRIVING CARS FOR RIDE HAILING: DEALS
           6.1.11 SELF-DRIVING VEHICLES AND VEHICLE CONNECTIVITY
                     FIGURE 30 MAKING OF SELF-DRIVING CARS
                    6.1.11.1 Vehicle-to-cloud (V2C)
                    6.1.11.2 Vehicle-to-pedestrian (V2P)
                    6.1.11.3 Vehicle-to-infrastructure (V2I)
                    6.1.11.4 Vehicle-to-vehicle (V2V)
           6.1.12 HD MAPS PORTFOLIO FOR ALL AUTOMATION LEVELS
                     TABLE 16 AUTOMATION LEVELS
                     FIGURE 31 HD MAPS PORTFOLIO FOR ALL AUTOMATION LEVELS
           6.1.13 HD MAPPING FOR AUTONOMOUS VEHICLE PROVING GROUNDS
           6.1.14 KEY SUPPLIERS OF HD MAPS AND THEIR PRODUCT DETAILS
                     TABLE 17 KEY SUPPLIERS OF HD MAPS AND DETAILS OF HD MAPS PROVIDED BY THEM
    6.2 DEMOCRATIZATION OF SELF-DRIVING CARS
    6.3 PRICING ANALYSIS
           6.3.1 PRICING OF SELF-DRIVING CARS
           6.3.2 TIER 1 & OEM ADAS PACKAGE PRICING
                    FIGURE 32 TOYOTA SAFETY SENSE 2.0
                    FIGURE 33 TOYOTA SAFETY SENSE C AND SAFETY SENSE P
                    6.3.2.1 Mercedes
                                 TABLE 18 ADAS PACKAGE PRICE: MERCEDES
                                 TABLE 19 ADDITIONAL ADAS PACKAGE PRICE: MERCEDES
                    6.3.2.2 Audi
                                 TABLE 20 ADAS PACKAGE PRICE: AUDI
                    6.3.2.3 Cadillac
                                 TABLE 21 ADAS PACKAGE PRICE: CADILLAC
    6.4 AUTONOMOUS CARS DEVELOPMENT AND DEPLOYMENT
           6.4.1 DAIMLER AG
           6.4.2 TUSIMPLE
                    FIGURE 34 TUSIMPLE: LEVEL 4 AUTONOMOUS TRUCK BOOKING PORTAL
           6.4.3 ARGO AI AND FORD
           6.4.4 BAIDU
           6.4.5 DIDI CHUXING
           6.4.6 TOYOTA, PONY.AI, AND HYUNDAI
           6.4.7 WAYMO
           6.4.8 VOYAGE
           6.4.9 GENERAL MOTORS AND CRUISE
           6.4.10 VOLVO
           6.4.11 EINRIDE
    6.5 MODEL WISE ADAS OFFERINGS
           6.5.1 TESLA
           6.5.2 TOYOTA
                    6.5.2.1 Corolla
                    6.5.2.2 Camry
                    6.5.2.3 Avalon
                    6.5.2.4 RAV4
                    6.5.2.5 Tundra
           6.5.3 NISSAN
                    6.5.3.1 Versa
                    6.5.3.2 Altima
                                 TABLE 22 ADAS PACKAGE: NISSAN ALTIMA
                    6.5.3.3 Nissan Leaf
                                 TABLE 23 ADAS PACKAGE: NISSAN LEAF
                    6.5.3.4 Nissan TITAN
                                 TABLE 24 ADAS PACKAGE: NISSAN TITAN
           6.5.4 HONDA
                    6.5.4.1 Civic
                                 TABLE 25 ADAS PACKAGE: HONDA CIVIC
                    6.5.4.2 Accord
                                 TABLE 26 ADAS PACKAGE: HONDA ACCORD
           6.5.5 MERCEDES:
                    6.5.5.1 A Class Sedan
                                 TABLE 27 ADAS PACKAGE: MERCEDES A CLASS
                                 TABLE 28 EXTERIOR LIGHTING PACKAGE: MERCEDES A CLASS
                    6.5.5.2 C Class Sedan
                                 TABLE 29 ADAS PACKAGE: MERCEDES C CLASS
                                 TABLE 30 PARKING ASSISTANCE PACKAGE: MERCEDES C CLASS
                                 TABLE 31 EXTERIOR LIGHTING PACKAGE: MERCEDES C CLASS
                    6.5.5.3 E Class Sedan
                                 TABLE 32 ADAS PACKAGE: MERCEDES E CLASS
                                 TABLE 33 PARKING ASSISTANCE PACKAGE: MERCEDES E CLASS
                                 TABLE 34 EXTERIOR LIGHTING PACKAGE: MERCEDES E CLASS
                    6.5.5.4 GLB SUV
                                 TABLE 35 ADAS PACKAGE: MERCEDES GLB SUV
                                 TABLE 36 EXTERIOR LIGHTING PACKAGE: MERCEDES GLB SUV
           6.5.6 AUDI
                    6.5.6.1 A3 Sedan
                                 TABLE 37 ADAS PACKAGE: AUDI A3 SEDAN
                                 TABLE 38 SIDE & REAR CROSS TRAFFIC ASSIST PACKAGE: AUDI A3 SEDAN
                    6.5.6.2 Q3
                                 TABLE 39 ADAS PACKAGE: AUDI Q3
                                 TABLE 40 CONVENIENCE PACKAGE: AUDI Q3
           6.5.7 LEXUS
                    6.5.7.1 Lexus ES
                    6.5.7.2 Lexus LS
                                 TABLE 41 ADAS PACKAGE: LEXUS LS
                                 TABLE 42 ADDITIONAL ADAS PACKAGE: LEXUS LS
                    6.5.7.3 Lexus NX
                                 TABLE 43 ADAS PACKAGE: LEXUS NX
                                 TABLE 44 COMFORT PACKAGE: LEXUS NX
           6.5.8 CADILLAC
                    6.5.8.1 Cadillac CT6
                                 TABLE 45 ADAS PACKAGE: CADILLAC CT6
                    6.5.8.2 Cadillac XT4
                                 TABLE 46 ADAS PACKAGE: CADILLAC XT4
                                 TABLE 47 DRIVER AWARENESS PACKAGE: CADILLAC XT4
                                 TABLE 48 DRIVER ASSIST PACKAGE: CADILLAC XT4
    6.6 SELF-DRIVING CARS MARKET SCENARIO
          FIGURE 35 SELF-DRIVING CARS MARKET– FUTURE TRENDS & SCENARIO, 2023–2030 (‘000 UNITS)
           6.6.1 MOST LIKELY SCENARIO
                    TABLE 49 SELF-DRIVING CARS MARKET: MOST LIKELY SCENARIO, BY REGION, 2018–2030 (‘000 UNITS)
           6.6.2 OPTIMISTIC SCENARIO
                    TABLE 50 SELF-DRVING CARS MARKET: OPTIMISTIC SCENARIO, BY REGION, 2023–2030 (‘000 UNITS)
           6.6.3 PESSIMISTIC SCENARIO
                    TABLE 51 SELF-DRIVING CARS MARKET: PESSIMISTIC SCENARIO, BY REGION, 2023–2030 (‘000 UNITS)

7 COVID – 19 IMPACTS (Page No. - 149)
    7.1 COVID-19 HEALTH ASSESSMENT
          FIGURE 36 COVID-19: GLOBAL PROPAGATION
          FIGURE 37 COVID-19 PROPAGATION: SELECTED COUNTRIES
    7.2 COVID-19 ECONOMIC ASSESSMENT
          FIGURE 38 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
           7.2.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
                    FIGURE 39 CRITERIA IMPACTING GLOBAL ECONOMY
                    FIGURE 40 SCENARIOS IN TERMS OF RECOVERY OF GLOBAL ECONOMY
    7.3 OEM ANNOUNCEMENTS
          TABLE 52 OEM ANNOUNCEMENTS
    7.4 TIER 1 MANUFACTURER ANNOUNCEMENTS
          TABLE 53 TIER 1 MANUFACTURER ANNOUNCEMENTS
    7.5 IMPACT ON GLOBAL AUTOMOTIVE INDUSTRY
          FIGURE 41 VOLKSWAGEN GROUP PERFORMANCE IN CHINA DURING JANUARY-FEBRUARY 2020
    7.6 IMPACT ON GLOBAL SELF-DRIVING CARS MARKET
           7.6.1 IMPACT OF COVID-19 ON SELF-DRIVING CARS DEVELOPMENT
                    TABLE 54 SELF-DRIVING CARS MARKET, PRE-COVID-19 AND POST-COVID-19 SCENARIO, 2018–2030 (USD MILLION)
                    FIGURE 42 COVID-19 IMPACT ON THE SELF-DRIVING CARS MARKET

8 SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY (Page No. - 159)
    8.1 INTRODUCTION
          TABLE 55 RECENT AND ONGOING DEMONSTRATION AND TESTING OF CONNECTED AUTONOMOUS VEHICLES BY KEY COMPANIES
          TABLE 56 ECONOMIC IMPACT OF CONNECTED AND AUTONOMOUS VEHICLES AND ITS BREAKDOWN
          FIGURE 43 SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY,  2021 VS. 2030 (‘000 UNITS)
          TABLE 57 SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
          TABLE 58 SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
           8.1.1 RESEARCH METHODOLOGY
           8.1.2 ASSUMPTIONS
                    TABLE 59 ASSUMPTIONS: BY LEVEL OF AUTONOMY
           8.1.3 KEY PRIMARY INSIGHTS
                    FIGURE 44 KEY PRIMARY INSIGHTS
    8.2 SEMI-AUTONOMOUS CARS
           8.2.1 L1
                    8.2.1.1 Increasing number of car models with level 1 features to drive the market
                                 TABLE 60 L1: SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                                 TABLE 61 L1: SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                                 TABLE 62 L1: SELF-DRIVING CARS MARKET, BY NEW LAUNCH, 2021
           8.2.2 L2
                    8.2.2.1 demand for level 2 features such as parking assist and autopilot to drive the market
                                 TABLE 63 L2: SELF-DRIVING CARS MARKET, BY NEW LAUNCH, 2021–2022
                                 TABLE 64 L2 SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                                 TABLE 65 L2 SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
           8.2.3 L3
                    8.2.3.1 increasing number of level 3 self-driving car models from 2022 will drive market
                                 TABLE 66 L3 SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                                 TABLE 67 L3 SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
    8.3 AUTONOMOUS CARS
                    TABLE 68 EXPECTED TECHNOLOGY VS, CURRENT TECHNOLOGY READINESS LEVEL OF AUTONOMOUS VEHICLE
           8.3.1 L4
                    8.3.1.1 increasing demand for autonomous vehicles will drive l4 segment
TABLE 69 L4 SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (UNITS)
TABLE 70 L4 SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (UNITS)
TABLE 71 FEW POPULAR SELF-DRIVING VEHICLES FROM COMPANIES ACROSS WORLD
           8.3.2 L5EUROPE AND NORTH AMERICA WILL PLAY KEY ROLE IN THE DEVELOPMENT OF L5 SELF-DRIVING CARS
                    TABLE 72 L5: SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (UNITS)
                    TABLE 73 L5 SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (UNITS)
    8.4 MARKET LEADERS
          TABLE 74 RECENT DEVELOPMENTS, BY LEVEL OF AUTONOMY

9 SELF-DRIVING CARS MARKET, BY COMPONENT (Page No. - 176)
    9.1 INTRODUCTION
          FIGURE 45 SELF-DRIVING CARS MARKET, BY COMPONENT, 2021 VS. 2030 (USD MILLION)
          TABLE 75 SELF-DRIVING CARS MARKET, BY COMPONENT, 2018–2020 (‘000 UNITS)
          TABLE 76 SELF-DRIVING CARS MARKET, BY COMPONENT, 2021–2030 (‘000 UNITS)
          TABLE 77 SELF-DRIVING CARS MARKET, BY COMPONENT, 2018–2020 (USD MILLION)
          TABLE 78 SELF-DRIVING CARS MARKET, BY COMPONENT, 2021–2030 (USD MILLION)
           9.1.1 RESEARCH METHODOLOGY
                    TABLE 79 TECHNOLOGICAL PERFORMANCE OF COMPONENTS IN AUTOMOTIVE APPLICATIONS
                    FIGURE 46 RATINGS FOR SENSOR FUNCTION
           9.1.2 ASSUMPTIONS
                    TABLE 80 ASSUMPTIONS: BY COMPONENT
    9.2 KEY PRIMARY INSIGHTS
          FIGURE 47 KEY PRIMARY INSIGHTS
    9.3 CAMERA UNITS
           9.3.1 USES OF CAMERA-BASED VISION SYSTEMS IN DIFFERENT TECHNOLOGIES
                    TABLE 81 CAMERA UNITS IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                    TABLE 82 CAMERA UNITS IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                    TABLE 83 CAMERA UNITS IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (USD MILLION)
                    TABLE 84 CAMERA UNITS IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (USD MILLION)
    9.4 LIDAR
           9.4.1 COMMERCIALIZATION OF LEVEL 3 SELF-DRIVING CARS WILL DRIVE THIS SEGMENT
                    TABLE 85 LIDAR IS SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                    TABLE 86 LIDAR IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                    TABLE 87 LIDAR IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (USD MILLION)
                    TABLE 88 LIDAR IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (USD MILLION)
    9.5 RADAR
           9.5.1 SHIFT TOWARD LONG-RANGE AND IMAGING RADAR SENSORS DRIVES MARKET
                    TABLE 89 RADAR IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                    TABLE 90 RADAR IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                    TABLE 91 RADAR IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (USD MILLION)
                    TABLE 92 RADAR IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (USD MILLION)
    9.6 ULTRASONIC SENSORS
           9.6.1 ASIA PACIFIC ESTIMATED TO LEAD ULTRASONIC SENSOR MARKET
                    TABLE 93 ULTRASONIC SENSORS IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                    TABLE 94 ULTRASONIC SENSORS IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                    TABLE 95 ULTRASONIC SENSORS IN SELF DRIVING CARS MARKET, BY REGION, 2018–2020 (USD MILLION)
                    TABLE 96 ULTRASONIC SENSORS IN SELF DRIVING CARS MARKET, BY REGION, 2021–2030 (USD MILLION)
    9.7 INFRARED SENSORS

10 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE (Page No. - 190)
     10.1 INTRODUCTION
             FIGURE 48 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE, 2021 VS. 2030 (‘000 UNITS)
             TABLE 97 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE, 201 -2020 (‘000 UNITS)
             TABLE 98 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE, 2021-2030 (‘000 UNITS)
             10.1.1 RESEARCH METHODOLOGY
             10.1.2 ASSUMPTIONS
                        TABLE 99 ASSUMPTIONS, BY MOBILITY TYPE
             10.1.3 KEY PRIMARY INSIGHTS
                        TABLE 100 FEW POPULAR ROBO-TAXIS USED FOR PASSENGER TRANSPORTATION ACROSS WORLD
     10.2 PERSONAL MOBILITY
             10.2.1 NORTH AMERICA ESTIMATED TO BE LARGEST MARKET FOR SELF-DRIVING CARS FOR PERSONAL MOBILITY
                        TABLE 101 SELF-DRIVING CARS MARKET FOR PERSONAL MOBILITY, BY REGION, 2018-2020 (‘000 UNITS)
                        TABLE 102 SELF-DRIVING CARS MARKET FOR PERSONAL MOBILITY, BY REGION, 2021-2030 (‘000 UNITS)
                        TABLE 103 SELF-DRIVING CARS MARKET FOR PERSONAL MOBILITY, BY LEVEL OF AUTONOMY, 2018-2020 (‘000 UNITS)
                        TABLE 104 SELF-DRIVING CARS MARKET FOR PERSONAL MOBILITY, BY LEVEL OF AUTONOMY, 2021-2030 (‘000 UNITS)
     10.3 SHARED MOBILITY
             10.3.1 INCREASING ADOPTION OF RIDE-SHARING SERVICES AND GROWING PARTNERSHIP BETWEEN KEY RIDE-SHARING COMPANIES WITH SELF-DRIVING CARS DEVELOPERS PROPEL THIS SEGMENT
                        TABLE 105 SELF-DRIVING CARS MARKET FOR SHARED MOBILITY, BY REGION, 2018-2020 (‘000 UNITS)
                        TABLE 106 SELF-DRIVING CARS MARKET FOR SHARED MOBILITY, BY REGION, 2021-2030 (‘000 UNITS)
                        TABLE 107 SELF-DRIVING CARS MARKET FOR SHARED MOBILITY, BY LEVEL OF AUTONOMY, 2018-2020 (‘000 UNITS)
                        TABLE 108 SELF-DRIVING CARS MARKET FOR SHARED MOBILITY, BY LEVEL OF AUTONOMY, 2021-2030 (‘000 UNITS)

11 SELF-DRIVING CARS MARKET, BY TYPE (Page No. - 198)
     11.1 INTRODUCTION
             11.1.1 RESEARCH METHODOLOGY
             11.1.2 ASSUMPTIONS
                        TABLE 109 ASSUMPTIONS: BY TYPE
             11.1.3 KEY PRIMARY INSIGHTS
                        FIGURE 49 KEY PRIMARY INSIGHTS
                        FIGURE 50 SELF-DRIVING CARS MARKET, BY TYPE, 2021 VS. 2030 (‘000 UNITS)
                        TABLE 110 SELF-DRIVING CARS MARKET, BY TYPE, 2018–2020 (‘000 UNITS)
                        TABLE 111 SELF-DRIVING CARS MARKET, BY TYPE, 2021–2030 (‘000 UNITS)
                        TABLE 112 LAUNCH OF SEMI-AUTONOMOUS CARS, 2021-2022
     11.2 HATCHBACKS
             11.2.1 CURRENTLY HATCHBACKS ARE THE SECOND LARGEST DIVISION IN SELF-DRIVING CARS
                        TABLE 113 SELF-DRIVING HATCHBACKS MARKET, BY REGION, 2021–2020 (‘000 UNITS)
                        TABLE 114 SELF-DRIVING HATCHBACKS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     11.3 COUPE & SPORTS CARS
             11.3.1 EUROPE WILL BE THE LEADING REGION FOR COUPE & SPORTS CARS
                        TABLE 115 SELF-DRIVING COUPE & SPORTS CAR MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 116 SELF-DRIVING COUPE & SPORTS CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     11.4 SEDAN
             11.4.1 ROBOTAXIS AND SHARED MOBILITY WILL DRIVE THE GROWTH OF SEDANS
                        TABLE 117 SELF-DRIVING SEDAN MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 118 SELF-DRIVING SEDAN MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     11.5 SUV
             11.5.1 MAJOR OEM’S HAVE INSTALLED ADAS IN PREMIUM SUV’S
                        TABLE 119 SELF-DRIVING SUVS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 120 SELF-DRIVING SUVS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     11.6 OTHERS
             TABLE 121 OTHER SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
             TABLE 122 OTHER SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)

12 SELF-DRIVING CARS MARKET, BY STACK LEVEL (Page No. - 210)
     12.1 INTRODUCTION
     12.2 SENSOR TECHNOLOGY
     12.3 VEHICLE COMPUTING PLATFORM
     12.4 PERCEPTION ENGINE

13 SELF-DRIVING CARS MARKET, BY ELECTRIC VEHICLE TYPE (Page No. - 212)
     13.1 INTRODUCTION
             13.1.1 RESEARCH METHODOLOGY
             13.1.2 ASSUMPTIONS
                        TABLE 123 ASSUMPTIONS: BY ELECTRIC VEHICLE TYPE
             13.1.3 KEY PRIMARY INSIGHTS
                        FIGURE 51 KEY PRIMARY INSIGHTS
                        FIGURE 52 SELF-DRIVING CARS MARKET, BY EV TYPE, 2021 VS. 2030 (‘000 UNITS)
                        TABLE 124 SELF-DRIVING ELECTRIC CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 125 SELF-DRIVING ELECTRIC VEHICLES MARKET, BY REGION, 2021–2030 (‘000 UNITS)
                        TABLE 126 SELF-DRIVING ELECTRIC VEHICLES MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                        TABLE 127 SELF-DRIVING ELECTRIC VEHICLES MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
                        TABLE 128 SELF-DRIVING CARS MARKET, BY ELECTRIC VEHICLE TYPE, 2018–2020 (‘000 UNITS)
                        TABLE 129 SELF-DRIVING CARS MARKET, BY ELECTRIC VEHICLE TYPE, 2021–2030 (‘000 UNITS)
     13.2 BATTERY ELECTRIC VEHICLE (BEV)
             13.2.1 GOVERNMENT INITIATIVES WILL BE A MAJOR DRIVER FOR BEV’S
                        TABLE 130 LAUNCHED LEVEL 2 BEV CARS, 2020
                        TABLE 131 SELF-DRIVING BEVS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 132 SELF-DRIVING BEVS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     13.3 FUEL CELL ELECTRIC VEHICLES (FCEV)
             13.3.1 FCEV’S WILL PLAY A KEY ROLE IN MOVING TOWARDS ZERO EMISSION
                        TABLE 133 LAUNCHED LEVEL 2 FCEV CARS IN 2020
                        TABLE 134 SELF-DRIVING FCEVS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 135 SELF-DRIVING FCEVS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     13.4 HYBRID ELECTRIC VEHICLES (HEV)
             13.4.1 EMERGING TECHNOLOGY AND INCREASING EFFICIENCY WILL BE MAJOR FACTORS IN ADOPTION OF HEV’S
                        TABLE 136 LAUNCH OF LEVEL 1 AND ABOVE HEV, 2020-2022
                        TABLE 137 UPCOMING HEV MODELS
                        TABLE 138 SELF-DRIVING HEVS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 139 SELF-DRIVING HEVS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     13.5 PLUG-IN HYBRID ELECTRIC VEHICLES (PHEV)
             13.5.1 GREATER RANGE WILL DRIVE THE DEVELOPMENT OF PHEV’S
                        TABLE 140 LAUNCH OF LEVEL 2 PHEVS, 2020-2022
                        TABLE 141 UPCOMING PHEV MODELS
                        TABLE 142 SELF-DRIVING PHEVS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
                        TABLE 143 SELF-DRIVING PHEVS MARKET, BY REGION, 2021–2030 (‘000 UNITS)

14 SELF-DRIVING CARS MARKET, BY ADAS FEATURES (Page No. - 225)
     14.1 INTRODUCTION
             TABLE 146 SELF-DRIVING CARS MARKET, BY ADAS FEATURES, 2018–2020 (USD MILLION)

15 SELF-DRIVING CAR MARKET, BY REGION (Page No. - 231)
     15.1 INTRODUCTION
             TABLE 148 NCAP REGULATIONS: US AND EUROPEAN UNION
             TABLE 149 PHASES IN AUTONOMOUS VEHICLE DEVELOPMENT AND IMPACTS
             FIGURE 54 SELF-DRIVING CARS MARKET, BY REGION, 2021 VS. 2030 (‘000 UNITS)
             TABLE 150 SELF-DRIVING CARS MARKET, BY REGION, 2018–2020 (‘000 UNITS)
             TABLE 151 SELF-DRIVING CARS MARKET, BY REGION, 2021–2030 (‘000 UNITS)
     15.2 ASIA PACIFIC
             15.2.1 IMPACT OF COVID-19 ON ASIA PACIFIC SELF-DRIVING CARS MARKET
                        TABLE 152 ASIA OCEANIA: AUTONOMOUS VEHICLE EFFORTS
                        TABLE 153 ASIA PACIFIC: SELF-DRIVING CARS MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (’000 UNITS)
                        FIGURE 55 ASIA PACIFIC: SELF DRIVING CARS MARKET SNAPSHOT
                        TABLE 154 ASIA PACIFIC: MARKET, BY COUNTRY, 2018–2020 (‘000 UNITS)
                        TABLE 155 ASIA PACIFIC: MARKET, BY COUNTRY, 2021–2030 (‘000 UNITS)
             15.2.2 CHINA
                        15.2.2.1 High vehicle production would drive market in China
                                      TABLE 156 KEY COMPANIES IN AUTONOMOUS VEHICLE TECHNOLOGY AND THEIR KNOWN PARTNERS IN CHINA
                                      TABLE 157 CHINA AUTONOMOUS VEHICLE TESTING RECORDS
                        15.2.2.2 China: vehicle production data
                                      TABLE 158 CHINA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 159 CHINA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 160 CHINA: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.2.3 INDIA
                        15.2.3.1 Increasing presence of global OEMs has had a positive impact on the market in India
                        15.2.3.2 India: vehicle production data
                                      TABLE 161 INDIA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 162 INDIA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 163 INDIA: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.2.4 JAPAN
                        15.2.4.1 Standardization of ADAS features by Japanese OEMs expected to drive market
                        15.2.4.2 Japan: vehicle production data
                                      TABLE 164 JAPAN: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 165 JAPAN: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 166 JAPAN: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.2.5 SOUTH KOREA
                        15.2.5.1 AEB and LDW regulations imposed by government to drive demand for advanced level 1 and level 2 features
                        15.2.5.2 South Korea vehicle production data
                                      TABLE 167 SOUTH KOREA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 168 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 169 SOUTH KOREA: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.2.6 THAILAND
                        15.2.6.1 Localization of vehicle production will have a major impact on self-driving cars market in Thailand
                        15.2.6.2 Thailand vehicle production data
                                      TABLE 170 THAILAND VEHICLE PRODUCTION (THOUSAND UNITS)
                                      TABLE 171 THAILAND: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 172 THAILAND: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.2.7 REST OF ASIA PACIFIC
                        15.2.7.1 Emerging economies such as Taiwan and Indonesia will witness major growth in this region
                                      TABLE 173 REST OF ASIA PACIFIC: SELF-DRIVING CAR MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 174 REST OF ASIA PACIFIC: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
     15.3 EUROPE
             15.3.1 IMPACT OF COVID-19 ON EUROPEAN SELF-DRIVING CARS MARKET
                        TABLE 175 EUROPE: SELF-DRIVING CARS MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (‘000 UNITS)
                          FIGURE 56 EUROPE: MARKET SNAPSHOT
                        TABLE 176 EUROPE: MARKET, BY COUNTRY,  2018–2020 (‘000 UNITS)
                        TABLE 177 EUROPE: MARKET, BY COUNTRY, 2021–2030 (‘000 UNITS)
                        TABLE 178 EUROPE: MARKET, BY VEHICLE TYPE, 2018–2020 (‘000 UNITS)
                        TABLE 179 EUROPE: MARKET, BY VEHICLE TYPE, 2021–2030 (‘000 UNIT)
                        TABLE 180 EUROPE: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                        TABLE 181 EUROPE: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.2 GERMANY
             15.3.2 GERMANY
                        15.3.2.1 Innovation and developments carried out by OEMs will propel the demand for self-driving cars
                        15.3.2.2 Germany: vehicle production data
                                      TABLE 182 GERMANY: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 183 GERMANY: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 184 GERMANY: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.3 FRANCE
                        15.3.3.1 AEB and LDW mandates for commercial vehicles will drive market in France
                        15.3.3.2 France: vehicle production data
                                      TABLE 185 FRANCE: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 186 FRANCE: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 187 FRANCE: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.4 ITALY
                        15.3.4.1 Consumer demand for driver assistance features will impact the market positively in Italy
                        15.3.4.2 Italy: vehicle production data
                                      TABLE 188 ITALY: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 189 ITALY: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 190 ITALY: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.5 RUSSIA
                        15.3.5.1 Russia: vehicle production data
                                      TABLE 191 RUSSIA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 192 RUSSIA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 193 RUSSIA: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.6 UK
                        15.3.6.1 Focus on vehicle export will fuel demand for self-driving cars in the UK
                        15.3.6.2 UK: vehicle production data
                                      TABLE 194 UK: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 195 UK: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 196 UK: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.7 TURKEY
                        15.3.7.1 Innovations to enhance driving comfort expected to drive market in Turkey
                        15.3.7.2 Turkey: vehicle production data
                                      TABLE 197 TURKEY: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 198 TURKEY: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 199 TURKEY: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.8 SPAIN
                        15.3.8.1 Adoption of advanced safety systems will drive self-driving cars market
                        15.3.8.2 Spain: vehicle production data
                                      TABLE 200 SPAIN: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 201 SPAIN: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 202 SPAIN: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.3.9 REST OF EUROPE
                        15.3.9.1 Increasing adoption of electric vehicles in other European countries will drive market
                                      TABLE 203 REST OF EUROPE: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 204 REST OF EUROPE : MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
     15.4 NORTH AMERICA
             15.4.1 IMPACT OF COVID-19 ON NORTH AMERICAN SELF-DRIVING CARS MARKET
                        TABLE 205 NORTH AMERICA: SELF-DRIVING CARS MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (‘000 UNITS)
                        FIGURE 57 NORTH AMERICA: MARKET SNAPSHOT
                        TABLE 206 NORTH AMERICA: MARKET, BY COUNTRY, 2018–2020 (‘000 UNITS)
                        TABLE 207 NORTH AMERICA: MARKET, BY COUNTRY, 2021–2030 (‘000 UNITS)
                        TABLE 208 NORTH AMERICA: MARKET, BY VEHICLE TYPE, 2018–2020 (‘000 UNITS)
                        TABLE 209 NORTH AMERICA: MARKET, BY VEHICLE TYPE,  2021–2030 (‘000 UNIT)
             15.4.2 US
                        15.4.2.1 Developments in autonomous driving will drive market
                                      TABLE 210 NORTH AMERICA: AUTONOMOUS VEHICLE EFFORTS
                        15.4.2.2 US: vehicle production data
                                      TABLE 211 US: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 212 US: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 213 US: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.4.3 CANADA
                        15.4.3.1 Convenient driving experience driving will drive the market
                        15.4.3.2 Canada: vehicle production data
                                      TABLE 214 CANADA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 215 CANADA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 216 CANADA: MARKET, BY LEVEL OF AUTONOMY,  2021–2030 (‘000 UNITS)
             15.4.4 MEXICO
                        15.4.4.1 Increased demand for a safe and convenient driving experience is likely to boost the demand for self-driving cars in Mexico
                        15.4.4.2 Mexico: vehicle production data
                                      TABLE 217 MEXICO: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 218 MEXICO: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 219 MEXICO: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
     15.5 REST OF THE WORLD (ROW)
             TABLE 220 ROW: SELF-DRIVING CARS MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (‘000 UNITS)
             TABLE 221 ROW: MARKET, BY COUNTRY, 2018–2020 (‘000 UNITS)
             TABLE 222 ROW: MARKET, BY COUNTRY, 2021–2030 (‘000 UNIT)
             TABLE 223 ROW: MARKET, BY LEVEL OF AUTONOMY,  2018–2020 (‘000 UNITS)
             TABLE 224 ROW: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.5.1 BRAZIL
                        15.5.1.1 Brazil is the eighth-largest producer of automobiles
                        15.5.1.2 Brazil vehicle production data
                                      TABLE 225 BRAZIL: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 226 BRAZIL: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 227 BRAZIL: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.5.2 SOUTH AFRICA
                        15.5.2.1 Adoption of safety systems will drive South African market
                        15.5.2.2 South Africa: vehicle production data
                                      TABLE 228 SOUTH AFRICA: VEHICLE PRODUCTION DATA (UNITS)
                                      TABLE 229 SOUTH AFRICA: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 230 SOUTH AFRICA: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
             15.5.3 OTHERS
                        15.5.3.1 New investments and presence of major automotive players to drive market in other countries
                                      TABLE 231 OTHERS: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
                                      TABLE 232 OTHERS: SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)

16 COMPETITIVE LANDSCAPE (Page No. - 280)
     16.1 OVERVIEW
             TABLE 233 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN SELF-DRIVING CARS MARKET
     16.2 MARKET RANKING AND MARKET SHARE ANALYSIS
             TABLE 234 MARKET STRUCTURE, 2020
             FIGURE 58 MARKET RANKING AND SHARE ANALYSIS: SELF-DRIVING CARS MARKET
     16.3 COMPETITIVE LEADERSHIP MAPPING
             16.3.1 STAR
             16.3.2 EMERGING LEADERS
             16.3.3 PERVASIVE
             16.3.4 EMERGING COMPANIES
                        FIGURE 59 GLOBAL MARKET: COMPETITIVE LEADERSHIP MAPPING, 2021
                        TABLE 235 GLOBAL MARKET: COMPANY FOOTPRINT, 2021
                        TABLE 236 GLOBAL MARKET: SOLUTION FOOTPRINT, 2021
                        TABLE 237 GLOBAL MARKET: REGIONAL FOOTPRINT, 2021
     16.4 STARTUP COMPETITIVE LEADERSHIP MAPPING
             16.4.1 PROGRESSIVE COMPANIES
             16.4.2 RESPONSIVE COMPANIES
             16.4.3 DYNAMIC COMPANIES
             16.4.4 STARTING BLOCKS
                        FIGURE 60 SELF-DRIVING CARS MARKET: STARTUP COMPETITIVE LEADERSHIP MAPPING, 2021
     16.5 WINNER VS. TAIL-ENDERS
             TABLE 238 WINNERS VS. TAIL-ENDERS
     16.6 COVID-19 IMPACT ON SELF-DRIVING CARS PROVIDERS
             TABLE 239 COVID-19 IMPACT: SELF-DRIVING CARS MARKET, PRE-COVID-19 BY REGION, 2021–2030 (‘000 UNITS)
             TABLE 240 COVID-19 IMPACT: SELF-DRIVING CARS MARKET, POST COVID-19 BY REGION, 2021–2030 (‘000 UNITS)

17 COMPANY PROFILES (Page No. - 294)
(Business Overview, Products Offered, Recent Developments, MnM View Right to win, Strategic choices made, Weaknesses and competitive threats) *
     17.1 KEY PLAYERS
             17.1.1 GENERAL MOTORS
                        TABLE 241 GENERAL MOTORS: BUSINESS OVERVIEW
                        FIGURE 61 GENERAL MOTORS: COMPANY SNAPSHOT
                        TABLE 242 GENERAL MOTORS: MODELS OF AUTONOMOUS VEHICLES
                        TABLE 243 GENERAL MOTORS: PRODUCTS OFFERED
                        TABLE 244 GENERAL MOTORS: NEW PRODUCT LAUNCHES
                        TABLE 245 GENERAL MOTORS: DEALS
                        TABLE 246 GENERAL MOTORS: OTHERS
             17.1.2 WAYMO
                        TABLE 247 WAYMO: BUSINESS OVERVIEW
                        TABLE 248 WAYMO: PRODUCTS OFFERED
                        TABLE 249 WAYMO: DEALS
                        TABLE 250 WAYMO: OTHERS
             17.1.3 DAIMLER
                        TABLE 251 DAIMLER: BUSINESS OVERVIEW
                        FIGURE 62 DAIMLER: COMPANY SNAPSHOT
                        TABLE 252 DAIMLER: MODELS OF AUTONOMOUS VEHICLES
                        TABLE 253 DAIMLER: PRODUCTS OFFERED
                        TABLE 254 DAIMLER: NEW PRODUCT LAUNCHES
                        TABLE 255 DAIMLER: DEALS
                        TABLE 256 DAIMLER: OTHERS
             17.1.4 FORD
                        TABLE 257 FORD: BUSINESS OVERVIEW
                        FIGURE 63 FORD: COMPANY SNAPSHOT
                        TABLE 258 FORD: MODELS OF AUTONOMOUS VEHICLES
                        TABLE 259 FORD: PRODUCTS OFFERED
                        FIGURE 64 FORD MOTOR COMPANY: CO-PILOT 360
                        TABLE 260 FORD: NEW PRODUCT LAUNCHES
                        TABLE 261 FORD: DEALS
                        TABLE 262 FORD: OTHERS
             17.1.5 NVIDIA
                        FIGURE 65 FEATURES OF NVIDIA DRIVE
                        TABLE 263 NVIDIA: BUSINESS OVERVIEW
                        FIGURE 66 NVIDIA: COMPANY SNAPSHOT
                        TABLE 264 NVIDIA: PRODUCTS OFFERED
                        TABLE 265 NVIDIA: PRODUCT LAUNCHES
                        TABLE 266 NVIDIA: DEALS
             17.1.6 BYD CO. LTD.
                        TABLE 267 BYD CO. LTD.: BUSINESS OVERVIEW
                        FIGURE 67 BYD CO. LTD.: COMPANY SNAPSHOT
                        TABLE 268 BYD: MODELS OF AUTONOMOUS VEHICLES
                        TABLE 269 BYD CO. LTD.: PRODUCTS OFFERED
                        TABLE 270 BYD CO. LTD.: NEW PRODUCT LAUNCHES
                        TABLE 271 BYD COMPANY: DEALS
                        TABLE 272 BYD: OTHERS
             17.1.7 VOLKSWAGEN AG
                        TABLE 273 VOLKSWAGEN AG: BUSINESS OVERVIEW
                        FIGURE 68 VOLKSWAGEN AG: COMPANY SNAPSHOT
                        FIGURE 69 VOLKSWAGEN AG: BRANDS
                        FIGURE 70 VOLKSWAGEN AG: MANUFACTURING FACILITIES
                        TABLE 274 VOLKSWAGEN AG: PRODUCTS OFFERED
                        TABLE 275 VOLKSWAGEN AG: NEW PRODUCT DEVELOPMENTS
                        TABLE 276 VOLKSWAGEN AG: DEALS
                        TABLE 277 VOLKSWAGEN AG: OTHERS
             17.1.8 TOYOTA
                        TABLE 278 TOYOTA: BUSINESS OVERVIEW
                        FIGURE 71 TOYOTA: COMPANY SNAPSHOT
                        TABLE 279 TOYOTA: PRODUCTS OFFERED
                        TABLE 280 TOYOTA: NEW PRODUCT DEVELOPMENTS
                        TABLE 281 TOYOTA: DEALS
             17.1.9 AURORA INNOVATION, INC.
                        TABLE 282 AURORA INNOVATION INC.: BUSINESS OVERVIEW
                        FIGURE 72 AURORA INNOVATION INC.: COMPANY SNAPSHOT
                        TABLE 283 AURORA INNOVATION, INC.: PRODUCTS OFFERED
                        TABLE 284 AURORA INNOVATION, INC.: NEW PRODUCT DEVELOPMENTS
                        TABLE 285 AURORA INNOVATION, INC.: DEALS
             17.1.10 MOBILEYE
                        TABLE 286 MOBILEYE: BUSINESS OVERVIEW
                        TABLE 287 MOBILEYE: PRODUCTS OFFERED
                        TABLE 288 MOBILEYE: NEW PRODUCT LAUNCHES
                        TABLE 289 MOBILEYE: DEALS
                        TABLE 290 MOBILEYE: OTHERS
             17.1.11 DENSO
                        TABLE 291 DENSO: BUSINESS OVERVIEW
                        FIGURE 73 DENSO: COMPANY SNAPSHOT
                        TABLE 292 DENSO: PRODUCTS OFFERED
                        TABLE 293 PRODUCT LAUNCHES
                        TABLE 294 DEALS: DENSO
             17.1.12 NURO
                        TABLE 295 NURO: BUSINESS OVERVIEW
                        TABLE 296 NURO: PRODUCTS OFFERED
                        TABLE 297 NURO: DEALS
                        TABLE 298 NURO: OTHERS
     17.2 OTHER KEY PLAYERS
             17.2.1 TESLA
                        TABLE 299 TESLA: BUSINESS OVERVIEW
             17.2.2 AISIN SEIKI
                        TABLE 300 AISIN SEIKI: BUSINESS OVERVIEW
             17.2.3 RENAULT-NISSAN-MITSUBISHI
                        TABLE 301 RENAULT-NISSAN-MITSUBISHI: BUSINESS OVERVIEW
             17.2.4 AUTOX
                        TABLE 302 AUTOX: BUSINESS OVERVIEW
             17.2.5 HITACHI AUTOMOTIVE
                        TABLE 303 HITACHI AUTOMOTIVE: BUSINESS OVERVIEW
             17.2.6 RENESAS ELECTRONICS CORPORATION
                        TABLE 304 RENESAS ELECTRONICS CORPORATION: BUSINESS OVERVIEW
             17.2.7 HUAWEI
                        TABLE 305 HUAWEI: BUSINESS OVERVIEW
             17.2.8 HYUNDAI MOBIS
                        TABLE 306 HYINDAI MOBIS: BUSINESS OVERVIEW
             17.2.9 INFINEON TECHNOLOGIES AG
                        TABLE 307 INFINEON TECHNOLOGIES AG: BUSINESS OVERVIEW
             17.2.10 EINRIDE
                        TABLE 308 EINRIDE: BUSINESS OVERVIEW
             17.2.11 GROUPE PSA (STELLANTIS)
                        TABLE 309 GROUPE PSA: BUSINESS OVERVIEW
             17.2.12 VAY
                        TABLE 310 VAY: BUSINESS OVERVIEW
             17.2.13 AUDI AG
                        TABLE 311 AUDI AG: BUSINESS OVERVIEW
             17.2.14 HELLA
                        TABLE 312 HELLA: BUSINESS OVERVIEW
             17.2.15 BLACKBERRY
                        TABLE 313 BLACKBERRY: BUSINESS OVERVIEW
             17.2.16 XILINX, INC
                        TABLE 314 XILINX INC: BUSINESS OVERVIEW
             17.2.17 PONY.AI
                        TABLE 315 PONY.AI: BUSINESS OVERVIEW
             17.2.18 RIDECELL INC,
                        TABLE 316 RIDECELL: BUSINESS OVERVIEW
             17.2.19 ARGO AI
                        TABLE 317 ARGO AI: BUSINESS OVERVIEW
             17.2.20 ZOOX
                        TABLE 318 ZOOX: BUSINESS OVERVIEW
             17.2.21 DEEPSCALE
                        TABLE 319 DEEPSCLAE: BUSINESS OVERVIEW
             17.2.22 APTIV
                        TABLE 320 APTIV: BUSINESS OVERVIEW
             17.2.23 LUMINAR
                        TABLE 321 LUMINAR: BUSINESS OVERVIEW
             17.2.24 OPTIMUS RIDE
                        TABLE 322 OPTIMUS RIDE: BUSINESS OVERVIEW
             17.2.25 MOTIONAL
                        TABLE 323 MOTIONAL: BUSINESS OVERVIEW
             17.2.26 INNOVIZ TECHNOLOGIES
                        TABLE 324 INNOVIZ: BUSINESS OVERVIEW
             17.2.27 ROBERT BOSCH
                        TABLE 325 ROBERT BOSCH: BUSINESS OVERVIEW
             17.2.28 ZF FRIEDRICHSHAFEN
                        TABLE 326 ZF FRIEDRICHSHAFEN: BUSINESS OVERVIEW
             17.2.29 VALEO
                        TABLE 327 VALEO: BUSINESS OVERVIEW
             17.2.30 MAGNA INTERNATIONAL
                        TABLE 328 MAGNA INTERNATIONAL INC: BUSINESS OVERVIEW
             17.2.31 CONTINENTAL AG
                        TABLE 329 CONTINENTAL AG: BUSINESS OVERVIEW
             17.2.32 NXP SEMICONDUCTORS
                        TABLE 330 BUSINESS OVERVIEW
             17.2.33 FICOSA INTERNATIONAL SA
                        TABLE 331 FICOSA INTERNATIONAL SA: BUSINESS OVERVIEW
             17.2.34 TEXAS INSTRUMENTS
                        TABLE 332 TEXAS INSTRUMENTS: BUSINESS OVERVIEW
             17.2.35 VOXX INTERNATIONAL CORP.
                        TABLE 333 VOXX INTERNATIONAL CORP: BUSINESS OVERVIEW
             17.2.36 MICROSEMI CORPORATION
                        TABLE 334 MICROSEMI: BUSINESS OVERVIEW

*Details on Business Overview, Products Offered, Recent Developments, MnM View, Right to win, Strategic choices made, Weaknesses and competitive threats might not be captured in case of unlisted companies.

18 APPENDIX (Page No. - 389)
     TABLE 335 CURRENCY EXCHANGE RATES (PER USD)
     18.1 DISCUSSION GUIDE – SELF-DRIVING CARS MARKET
     18.2 KNOWLEDGE STORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL
     18.3 AVAILABLE CUSTOMIZATIONS
     18.4 RELATED REPORTS
     18.5 AUTHOR DETAILS

The research study involved the extensive use of secondary sources, such as company annual reports/presentations, industry association publications, magazine articles, directories, technical handbooks, World Economic Outlook, trade websites, technical articles, and databases, to identify and collect information on the Autonomous / Self-driving cars Market. The primary sources—experts from related industries, automobile OEMs, and suppliers—were interviewed to obtain and verify critical information, as well as assess the growth prospects and market estimations.

Secondary Research

The secondary sources referred to for this research study include corporate filings (such as annual reports, investor presentations, and financial statements), trade, business, and professional associations, whitepapers, Autonomous / Self-driving cars Market-related journals, certified publications, articles by recognized authors, directories, and databases. Secondary data was collected and analyzed to arrive at the overall market size, which was further validated by primary research. Among the others, Marklines and European Automobile Manufacturers’ Association (ACEA) were referred.

Primary Research

Extensive primary research was conducted after obtaining an understanding of the Autonomous / Self-driving cars Market scenario through secondary research. Several primary interviews were conducted with market experts from both, the demand side (vehicle manufacturers, country-level government associations, and trade associations) and supply side (autonomous / self-driving cars manufacturers, software providers, and system integrators) across major regions, namely, North America, Europe, Asia Pacific, and the Rest of the World. Approximately 24% and 76% of primary interviews were conducted from the demand and supply side, respectively. Primary data was collected through questionnaires, emails, and telephonic interviews. In the canvassing of primaries, various departments within organizations, such as sales, operations, and marketing, were covered to provide a holistic viewpoint in this report.

After interacting with industry experts, brief sessions were conducted with highly experienced independent consultants to reinforce the findings from our primaries. This, along with the in-house subject matter expert opinions, led to the findings as described in the remainder of the report.

Self-driving Cars Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

A detailed market estimation approach was followed to estimate and validate the value of the Autonomous / Self-driving cars Market and other dependent submarkets, as mentioned below:

  • Key players in the Autonomous / Self-driving cars Market were identified through secondary research, and their global market shares were determined through primary and secondary research.
  • The research methodology included the study of the annual and quarterly financial reports & regulatory filings of major market players, as well as interviews with industry experts for detailed market insights.
  • All major penetration rates, percentage shares, splits, and breakdowns for the Autonomous cars Market were determined using secondary sources and verified through primary sources.
  • All key macro indicators affecting the revenue growth of the market segments and subsegments were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the validated and verified quantitative & qualitative data.
  • The gathered market data was consolidated and added with detailed inputs, analyzed, and presented in this report

Data Triangulation

All percentage shares, splits, and breakdowns were determined using secondary sources and verified by primary sources. All parameters that are said to affect the markets covered in this research study were accounted for, viewed in extensive detail, and analyzed to obtain the final quantitative and qualitative data. This data was consolidated, enhanced with detailed inputs and analysis from MarketsandMarkets, and presented in the report.

Report Objectives

  • To segment and forecast the size of the global Autonomous / Self-driving cars Market, in terms of volume (‘000 units) and wherever possible, value (USD million)
  • To define, describe, and forecast the global Autonomous / Self-driving cars Market size based on component, electric vehicle, level of autonomy, vehicle type, mobility type, and region
  • To analyze regional markets for growth trends, prospects, and their contribution to the overall market
  • To segment and forecast the market size, by component (camera unit, LiDAR, radar sensor, ultrasonic sensor, and infrared sensor)
  • To segment and forecast the market size, by electric vehicle [battery electric vehicles (BEV), hybrid electric vehicles (HEV), plug-in hybrid electric vehicle (PHEV), and fuel cell electric vehicle (FCEV)]
  • To segment and forecast the market size, by level of autonomy (L1, L2 & L3, L4, and L5)
  • To segment and forecast the market size, by type (Hatchback, Coupe & Sports Car, Sedan, SUV, Others)
  • To segment and forecast the market size, by mobility Type (shared mobility and personal mobility)
  • To segment and forecast the market size, by system (ACC, DMS, IPA, PDS, TJA, FCW, CTA, RSR, LDW, AEB, & BSD),
  • To forecast the market size with respect to key regions, namely, North America, Europe, Asia Pacific, and the Rest of the World (RoW)
  • To provide detailed information regarding the major factors influencing market growth (drivers, challenges, restraints, and opportunities)
  • To provide detailed information and analysis regarding the ecosystem map, the value chain, case studies, technical overview, Porter’s five forces, and pricing
  • To analyze opportunities for stakeholders and provide a competitive landscape of Autonomous / Self-driving cars Market leaders
  • To strategically profile key players and comprehensively analyze their market share and core competencies
  • To analyze the impact of the COVID-19 pandemic on the market
  • To analyze recent developments, collaborations, partnerships, joint ventures, product innovations, and mergers & acquisitions in the Autonomous / Self-driving cars Market.

Available Customizations

With the given market data, MarketsandMarkets offers customizations in accordance to the company’s specific needs.

  • Autonomous / Self-driving cars Market, by system (for systems not covered in the report)
  • Autonomous / Self-driving cars Market, by electric vehicle at the regional level
  • Autonomous / Self-driving cars Market, by vehicle type at country level (for countries not covered in the report)
  • Company Information
  • Profiling of Additional Market Players (Up to 3)
Report Code
AT 2090
Published ON
Jan, 2022
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