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
[379 Pages Report] The autonomous / self-driving cars market size was valued at 20.3 million units in 2021, and it is expected to reach 62.4 million units by 2030, at a CAGR of 13.3% during the forecast period 2021-2030. 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.
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Market Dynamics
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 .
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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
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|
Report Metric |
Details |
|
Market Revenue in 2022 |
$20.3 Billion |
|
Estimated Revenue by 2027 |
$62.4 Billion |
|
Revenue Rate |
Projected to grow at a CAGR of 13.3% |
|
Market Driver |
Introduction of AI-based camera systems for autonomous / self-driving applications |
|
Market Opportunity |
Increasing developments in autonomous shared mobility |
|
Key Market Players |
General Motors (US), Ford (US), Daimler (Germany), Volkswagen (Germany), Toyota (Japan) and Waymo (US). |
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
Based on Component:
- Camera Unit
- LiDAR
- Radar Sensor
- Ultrasonic Sensor
- Infrared Sensor
Based on Mobility Type:
- Shared Mobility
- Personal Mobility
Based on Electric Vehicle:
- Battery Electric Vehicles (BEV)
- Hybrid Electric Vehicles (HEV)
- Plug-in Hybrid Electric Vehicle (PHEV)
- Fuel Cell Electric Vehicle (FCEV)
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)
Based on Level of Autonomy:
- L1
- L2
- L3
- L4
- L5
Based on Vehicle Type:
- Hatchback
- Coupe & Sports Car
- Sedan
- SUV
- Others
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.
Frequently Asked Questions (FAQ):
How big is the autonomous / self-driving cars market?
The autonomous / self-driving cars market was valued at $20.3 million in 2021, and it is expected to reach $62.4 million by 2030, at a CAGR of 13.3% during the forecast period 2021-2030.
Who are the STARS in the autonomous / self-driving cars market?
Some of the major players in the self-driving cars market are General Motors (US), Ford (US), Daimler (Germany), Volkswagen (Germany), Toyota (Japan) and Waymo (US).
What are the new market trends impacting the growth of the autonomous / self-driving cars market?
Self-driving cars are still in the development stage. Many OEMs have working prototypes that are being tested in different regions. Companies such as Lyft, Ford, Uber, Honda, Toyota, and Tesla are competing to bring a fully autonomous vehicle to the market. Waymo, the autonomous vehicle division of Alphabet, Google’s parent company, has begun testing trip fares with its early riders as it moves closer to launching its commercial ride-sharing service in Phoenix, Arizona. Considering these factors, the development in technology and the increase in adaption of robo-taxis will impact the growth of Self-driving cars in the future market.
Which countries are considered in the Asia Pacific region?
Asia Pacific region comprises countries such as China, Japan, India, South Korea, and Thailand. .
To speak to our analyst for a discussion on the above findings, click Speak to Analyst
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TABLE OF CONTENTS
1 INTRODUCTION (Page No. - 29)
1.1 OBJECTIVES OF STUDY
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS & EXCLUSIONS
TABLE 1 INCLUSIONS & EXCLUSIONS FOR AUTONOMOUS / SELF-DRIVING CARS MARKET STABY
1.3 MARKET SCOPE
FIGURE 1 MARKET: 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. - 38)
2.1 RESEARCH DATA
FIGURE 2 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: MARKET
FIGURE 6 DETAILED ILLUSTRATION OF BOTTOM-UP APPROACH
2.4.2 TOP-DOWN APPROACH
FIGURE 7 TOP-DOWN APPROACH: MARKET
FIGURE 8 AUTONOMOUS / SELF-DRIVING CARS MARKET: RESEARCH DESIGN & METHODOLOGY
2.5 MARKET BREAKDOWN
FIGURE 9 DATA TRIANGULATION
2.6 FACTOR ANALYSIS
TABLE 2 IMPACT OF VARIOUS FACTORS ON GROWTH OF 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. - 54)
FIGURE 10 MARKET: MARKET OVERVIEW
FIGURE 11 PERSONAL MOBILITY SEGMENT EXPECTED TO LEAD MARKET FROM 2021 TO 2030
4 PREMIUM INSIGHTS (Page No. - 59)
4.1 ATTRACTIVE OPPORTUNITIES IN THE MARKET
FIGURE 12 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 ASIA PACIFIC: MARKET, LEVEL OF AUTONOMY & COUNTRY
FIGURE 13 ASIA PACIFIC: MARKET, BY LEVEL OF AUTOMATION & COUNTRY, 2021 VS. 2030
4.3 MARKET, BY MOBILITY TYPE
FIGURE 14 PERSONAL MOBILITY EXPECTED TO ACCOUNT FOR LARGEST SHARE OF MARKET BY 2030
4.4 MARKET, BY COMPONENT TYPE
FIGURE 15 RADAR SEGMENT EXPECTED TO LEAD MARKET DURING FORECAST PERIOD
4.5 MARKET, BY TYPE
FIGURE 16 SEDAN SEGMENT PROJECTED TO LEAD MARKET FROM 2021 TO 2030
4.6 MARKET, BY ELECTRIC VEHICLE TYPE
FIGURE 17 BEV SEGMENT DOMINATE MARKET DURING FORECAST PERIOD
4.7 MARKET, BY REGION
FIGURE 18 MARKET IN REST OF THE WORLD PROJECTED TO GROW AT HIGHEST CAGR FROM 2021−2030
5 MARKET OVERVIEW (Page No. - 63)
5.1 INTRODUCTION
FIGURE 19 EVOLUTION OF AUTOMATED SAFETY TECHNOLOGIES
5.2 MARKET DYNAMICS
FIGURE 20 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 21 EUROPE: ROAD ACCIDENT FATALITIES, BY MODE OF TRANSPORT (2017)
FIGURE 22 EUROPE: ROAD ACCIDENT FATALITIES PER MILLION HABITANTS, BY COUNTRY (2018)
5.2.1.2 Growing demand for safety and driving comfort features
FIGURE 23 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 MARKET: IMPACT OF MARKET DYNAMICS
5.3 TRADE ANALYSIS
TABLE 7 IMPORT DATA FOR HS CODE 8708, BY COUNTRY, 2016–2020 (USD MILLION)
TABLE 8 EXPORT DATA FOR HS CODE 8708, BY COUNTRY, 2016–2020 (USD MILLION)
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 24 VALUE CHAIN ANALYSIS: MARKET
5.7 SUPPLYCHAIN ANALYSIS: MARKET
FIGURE 25 SUPPLYCHAIN ANALYSIS: MARKET
5.8 ECOSYSTEM ANALYSIS:MARKET
TABLE 9 MARKET: ROLE OF COMPANIES IN ECOSYSTEM
5.9 PORTER’S FIVE FORCES
FIGURE 26 PORTER’S FIVE FORCES: 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 MARKET GROWTH
FIGURE 27 REVENUE SHIFT DRIVING MARKET GROWTH
6 INDUSTRY TRENDS (Page No. - 96)
6.1 TECHNOLOGY ANALYSIS
6.1.1 INTRODUCTION
6.1.2 SENSOR FUSION TECHNOLOGY
FIGURE 28 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 29 ADAS APPLICATIONS
6.1.8 AUTONOMOUS VEHICLES: CYBERSECURITY AND DATA PRIVACY
FIGURE 30 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 31 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 32 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 33 TOYOTA SAFETY SENSE 2.0
FIGURE 34 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 35 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 MARKET SCENARIO
FIGURE 36 MARKET– FUTURE TRENDS & SCENARIO, 2023–2030 (‘000 UNITS)
6.6.1 MOST LIKELY SCENARIO
TABLE 49 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 MARKET: PESSIMISTIC SCENARIO, BY REGION, 2023–2030 (‘000 UNITS)
7 COVID – 19 IMPACTS (Page No. - 138)
7.1 COVID-19 HEALTH ASSESSMENT
FIGURE 37 COVID-19: GLOBAL PROPAGATION
FIGURE 38 COVID-19 PROPAGATION: SELECTED COUNTRIES
7.2 COVID-19 ECONOMIC ASSESSMENT
FIGURE 39 REVISED GROSS DOMESTIC PRODUCT FORECASTS FOR SELECT G20 COUNTRIES IN 2020
7.2.1 COVID-19 ECONOMIC IMPACT—SCENARIO ASSESSMENT
FIGURE 40 CRITERIA IMPACTING GLOBAL ECONOMY
FIGURE 41 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 42 VOLKSWAGEN GROUP PERFORMANCE IN CHINA DURING JANUARY-FEBRUARY 2020
7.6 IMPACT ON GLOBAL MARKET
7.6.1 IMPACT OF COVID-19 ON SELF-DRIVING CARS DEVELOPMENT
TABLE 54 MARKET, PRE-COVID-19 AND POST-COVID-19 SCENARIO, 2018–2030 (USD MILLION)
FIGURE 43 COVID-19 IMPACT ON THE MARKET
8 AUTONOMOUS / SELF-DRIVING CARS MARKET, BY LEVEL OF AUTONOMY (Page No. - 148)
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 44 MARKET, BY LEVEL OF AUTONOMY, 2021 VS. 2030 (‘000 UNITS)
TABLE 57 MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 58 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 45 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: MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 61 L1: MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 62 L1: 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: MARKET, BY NEW LAUNCH, 2021–2022
TABLE 64 L2 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 65 L2 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 67 L3 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 MARKET, BY REGION, 2018–2020 (UNITS)
TABLE 70 L4 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: MARKET, BY REGION, 2018–2020 (UNITS)
TABLE 73 L5 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. - 165)
9.1 INTRODUCTION
FIGURE 46 MARKET, BY COMPONENT, 2021 VS. 2030 (USD MILLION)
TABLE 75 MARKET, BY COMPONENT, 2018–2020 (‘000 UNITS)
TABLE 76 MARKET, BY COMPONENT, 2021–2030 (‘000 UNITS)
TABLE 77 MARKET, BY COMPONENT, 2018–2020 (USD MILLION)
TABLE 78 MARKET, BY COMPONENT, 2021–2030 (USD MILLION)
9.1.1 RESEARCH METHODOLOGY
TABLE 79 TECHNOLOGICAL PERFORMANCE OF COMPONENTS IN AUTOMOTIVE APPLICATIONS
FIGURE 47 RATINGS FOR SENSOR FUNCTION
9.1.2 ASSUMPTIONS
TABLE 80 ASSUMPTIONS: BY COMPONENT
9.2 KEY PRIMARY INSIGHTS
FIGURE 48 KEY PRIMARY INSIGHTS
9.3 CAMERA UNITS
9.3.1 USES OF CAMERA-BASED VISION SYSTEMS IN DIFFERENT TECHNOLOGIES
TABLE 81 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 82 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 83 MARKET, BY REGION, 2018–2020 (USD MILLION)
TABLE 84 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 86 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 87 MARKET, BY REGION, 2018–2020 (USD MILLION)
TABLE 88 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 90 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 91 MARKET, BY REGION, 2018–2020 (USD MILLION)
TABLE 92 MARKET, BY REGION, 2021–2030 (USD MILLION)
9.6 ULTRASONIC SENSORS
9.6.1 ASIA PACIFIC ESTIMATED TO LEAD ULTRASONIC SENSOR MARKET
TABLE 93 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 94 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 95 MARKET, BY REGION, 2018–2020 (USD MILLION)
TABLE 96 MARKET, BY REGION, 2021–2030 (USD MILLION)
9.7 INFRARED SENSORS
10 SELF-DRIVING CARS MARKET, BY MOBILITY TYPE (Page No. - 179)
10.1 INTRODUCTION
FIGURE 49 MARKET, BY MOBILITY TYPE, 2021 VS. 2030 (‘000 UNITS)
TABLE 97 MARKET, BY MOBILITY TYPE, 2018-2020 (‘000 UNITS)
TABLE 98 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 MARKET FOR PERSONAL MOBILITY, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 102 MARKET FOR PERSONAL MOBILITY, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 103 MARKET FOR PERSONAL MOBILITY, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 104 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 MARKET FOR SHARED MOBILITY, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 106 MARKET FOR SHARED MOBILITY, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 107 MARKET FOR SHARED MOBILITY, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 108 MARKET FOR SHARED MOBILITY, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
11 AUTONOMOUS / SELF-DRIVING CARS MARKET, BY TYPE (Page No. - 187)
11.1 INTRODUCTION
11.1.1 RESEARCH METHODOLOGY
11.1.2 ASSUMPTIONS
TABLE 109 ASSUMPTIONS: BY TYPE
11.1.3 KEY PRIMARY INSIGHTS
FIGURE 50 KEY PRIMARY INSIGHTS
FIGURE 51 MARKET, BY TYPE, 2021 VS. 2030 (‘000 UNITS)
TABLE 110 MARKET, BY TYPE, 2018–2020 (‘000 UNITS)
TABLE 111 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 MARKET, BY REGION, 2021–2020 (‘000 UNITS)
TABLE 114 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 116 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 118 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 120 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
11.6 OTHERS
TABLE 121 OTHER MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 122 OTHER MARKET, BY REGION, 2021–2030 (‘000 UNITS)
12 MARKET, BY STACK LEVEL (Page No. - 196)
12.1 INTRODUCTION
12.2 SENSOR TECHNOLOGY
12.3 VEHICLE COMPUTING PLATFORM
12.4 PERCEPTION ENGINE
13 MARKET, BY ELECTRIC VEHICLE TYPE (Page No. - 198)
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 52 KEY PRIMARY INSIGHTS
FIGURE 53 MARKET, BY EV TYPE, 2021 VS. 2030 (‘000 UNITS)
TABLE 124 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 125 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
TABLE 126 MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 127 MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
TABLE 128 MARKET, BY ELECTRIC VEHICLE TYPE, 2018–2020 (‘000 UNITS)
TABLE 129 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 132 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 135 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 139 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 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 143 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
14 MARKET, BY ADAS FEATURES (Page No. - 211)
14.1 INTRODUCTION
FIGURE 54 MARKET, BY ADAS FEATURES, 2021 VS. 2030 (USD MILLION)
TABLE 146 MARKET, BY ADAS FEATURES, 2018–2020 (USD MILLION)
15 SELF-DRIVING CAR MARKET, BY REGION (Page No. - 217)
15.1 INTRODUCTION
TABLE 148 NCAP REGULATIONS: US AND EUROPEAN UNION
TABLE 149 PHASES IN AUTONOMOUS VEHICLE DEVELOPMENT AND IMPACTS
FIGURE 55 MARKET, BY REGION, 2021 VS. 2030 (‘000 UNITS)
TABLE 150 MARKET, BY REGION, 2018–2020 (‘000 UNITS)
TABLE 151 MARKET, BY REGION, 2021–2030 (‘000 UNITS)
15.2 ASIA PACIFIC
15.2.1 IMPACT OF COVID-19 ON ASIA PACIFIC MARKET
TABLE 152 ASIA OCEANIA: AUTONOMOUS VEHICLE EFFORTS
TABLE 153 ASIA PACIFIC: MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (’000 UNITS)
FIGURE 56 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: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
15.3 EUROPE
15.3.1 IMPACT OF COVID-19 ON EUROPEAN MARKET
TABLE 175 EUROPE: SELF-DRIVING CARS MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (‘000 UNITS)
FIGURE 57 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
15.3.2.1 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 MARKET
TABLE 205 NORTH AMERICA: MARKET, PRE-COVID-19 VS. POST-COVID-19 SCENARIO (‘000 UNITS)
FIGURE 58 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: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 213 US: 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: 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: MARKET, BY LEVEL OF AUTONOMY, 2018–2020 (‘000 UNITS)
TABLE 232 OTHERS: MARKET, BY LEVEL OF AUTONOMY, 2021–2030 (‘000 UNITS)
16 COMPETITIVE LANDSCAPE (Page No. - 265)
16.1 OVERVIEW
TABLE 233 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN MARKET
16.2 MARKET RANKING AND MARKET SHARE ANALYSIS
TABLE 234 MARKET STRUCTURE, 2020
FIGURE 59 MARKET RANKING AND SHARE ANALYSIS: 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 60 MARKET: COMPETITIVE LEADERSHIP MAPPING, 2021
TABLE 235 SELD-DRIVING CARS MARKET: COMPANY FOOTPRINT, 2021
TABLE 236 MARKET: SOLUTION FOOTPRINT, 2021
TABLE 237 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 61 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: MARKET, PRE-COVID-19 BY REGION, 2021–2030 (‘000 UNITS)
TABLE 240 COVID-19 IMPACT: MARKET, POST COVID-19 BY REGION, 2021–2030 (‘000 UNITS)
17 COMPANY PROFILES (Page No. - 278)
(Business overview, Products offered, Recent developments & MnM View)*
17.1 KEY PLAYERS
17.1.1 GENERAL MOTORS
TABLE 241 GENERAL MOTORS: BUSINESS OVERVIEW
FIGURE 62 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 63 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 64 FORD: COMPANY SNAPSHOT
TABLE 258 FORD: MODELS OF AUTONOMOUS VEHICLES
TABLE 259 FORD: PRODUCTS OFFERED
FIGURE 65 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 66 FEATURES OF NVIDIA DRIVE
TABLE 263 NVIDIA: BUSINESS OVERVIEW
FIGURE 67 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 68 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 69 VOLKSWAGEN AG: COMPANY SNAPSHOT
FIGURE 70 VOLKSWAGEN AG: BRANDS
FIGURE 71 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 72 TOYOTA: COMPANY SNAPSHOT
TABLE 279 TOYOTA: AUTONOMOUS VEHICLES MODELS
TABLE 280 TOYOTA: PRODUCTS OFFERED
TABLE 281 TOYOTA: NEW PRODUCT DEVELOPMENTS
TABLE 282 TOYOTA: DEALS
17.1.9 AURORA INNOVATION, INC.
TABLE 283 AURORA INNOVATION INC.: BUSINESS OVERVIEW
FIGURE 73 AURORA INNOVATION INC.: COMPANY SNAPSHOT
TABLE 284 AURORA INNOVATION, INC.: PRODUCTS OFFERED
TABLE 285 AURORA INNOVATION, INC.: NEW PRODUCT DEVELOPMENTS
TABLE 286 AURORA INNOVATION, INC.: DEALS
17.1.10 MOBILEYE
TABLE 287 MOBILEYE: BUSINESS OVERVIEW
TABLE 288 MOBILEYE: PRODUCTS OFFERED
TABLE 289 MOBILEYE: NEW PRODUCT LAUNCHES
TABLE 290 MOBILEYE: DEALS
TABLE 291 MOBILEYE: OTHERS
17.1.11 DENSO
TABLE 292 DENSO: BUSINESS OVERVIEW
FIGURE 74 DENSO: COMPANY SNAPSHOT
TABLE 293 DENSO: PRODUCTS OFFERED
TABLE 294 PRODUCT LAUNCHES
TABLE 295 DEALS: DENSO
17.1.12 NURO
TABLE 296 NURO: BUSINESS OVERVIEW
TABLE 297 NURO: PRODUCTS OFFERED
TABLE 298 NURO: DEALS
TABLE 299 NURO: OTHERS
*Details on Business overview, Products offered, Recent developments & MnM View might not be captured in case of unlisted companies.
17.2 OTHER KEY PLAYERS
17.2.1 TESLA
TABLE 300 TESLA: BUSINESS OVERVIEW
17.2.2 AISIN SEIKI
TABLE 301 AISIN SEIKI: BUSINESS OVERVIEW
17.2.3 RENAULT-NISSAN-MITSUBISHI
TABLE 302 RENAULT-NISSAN-MITSUBISHI: BUSINESS OVERVIEW
17.2.4 AUTOX
TABLE 303 AUTOX: BUSINESS OVERVIEW
17.2.5 HITACHI AUTOMOTIVE
TABLE 304 HITACHI AUTOMOTIVE: BUSINESS OVERVIEW
17.2.6 RENESAS ELECTRONICS CORPORATION
TABLE 305 RENESAS ELECTRONICS CORPORATION: BUSINESS OVERVIEW
17.2.7 HUAWEI
TABLE 306 HUAWEI: BUSINESS OVERVIEW
17.2.8 HYUNDAI MOBIS
TABLE 307 HYINDAI MOBIS: BUSINESS OVERVIEW
17.2.9 INFINEON TECHNOLOGIES AG
TABLE 308 INFINEON TECHNOLOGIES AG: BUSINESS OVERVIEW
17.2.10 EINRIDE
TABLE 309 EINRIDE: BUSINESS OVERVIEW
17.2.11 GROUPE PSA (STELLANTIS)
TABLE 310 GROUPE PSA: BUSINESS OVERVIEW
17.2.12 VAY
TABLE 311 VAY: BUSINESS OVERVIEW
17.2.13 AUDI AG
TABLE 312 AUDI AG: BUSINESS OVERVIEW
17.2.14 HELLA
TABLE 313 HELLA: BUSINESS OVERVIEW
17.2.15 BLACKBERRY
TABLE 314 BLACKBERRY: BUSINESS OVERVIEW
17.2.16 XILINX, INC
TABLE 315 XILINX INC: BUSINESS OVERVIEW
17.2.17 PONY.AI
TABLE 316 PONY.AI: BUSINESS OVERVIEW
17.2.18 RIDECELL INC,
TABLE 317 RIDECELL: BUSINESS OVERVIEW
17.2.19 ARGO AI
TABLE 318 ARGO AI: BUSINESS OVERVIEW
17.2.20 ZOOX
TABLE 319 ZOOX: BUSINESS OVERVIEW
17.2.21 DEEPSCALE
TABLE 320 DEEPSCLAE: BUSINESS OVERVIEW
17.2.22 APTIV
TABLE 321 APTIV: BUSINESS OVERVIEW
17.2.23 LUMINAR
TABLE 322 LUMINAR: BUSINESS OVERVIEW
17.2.24 OPTIMUS RIDE
TABLE 323 OPTIMUS RIDE: BUSINESS OVERVIEW
17.2.25 MOTIONAL
TABLE 324 MOTIONAL: BUSINESS OVERVIEW
17.2.26 INNOVIZ TECHNOLOGIES
TABLE 325 INNOVIZ: BUSINESS OVERVIEW
17.2.27 ROBERT BOSCH
TABLE 326 ROBERT BOSCH: BUSINESS OVERVIEW
17.2.28 ZF FRIEDRICHSHAFEN
TABLE 327 ZF FRIEDRICHSHAFEN: BUSINESS OVERVIEW
17.2.29 VALEO
TABLE 328 VALEO: BUSINESS OVERVIEW
17.2.30 MAGNA INTERNATIONAL
TABLE 329 MAGNA INTERNATIONAL INC: BUSINESS OVERVIEW
17.2.31 CONTINENTAL AG
TABLE 330 CONTINENTAL AG: BUSINESS OVERVIEW
17.2.32 NXP SEMICONDUCTORS
TABLE 331 BUSINESS OVERVIEW
17.2.33 FICOSA INTERNATIONAL SA
TABLE 332 FICOSA INTERNATIONAL SA: BUSINESS OVERVIEW
17.2.34 TEXAS INSTRUMENTS
TABLE 333 TEXAS INSTRUMENTS: BUSINESS OVERVIEW
17.2.35 VOXX INTERNATIONAL CORP.
TABLE 334 VOXX INTERNATIONAL CORP: BUSINESS OVERVIEW
17.2.36 MICROSEMI CORPORATION
TABLE 335 MICROSEMI: BUSINESS OVERVIEW
18 APPENDIX (Page No. - 372)
TABLE 336 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.
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 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 market, in terms of volume (‘000 units) and wherever possible, value (USD million)
- To define, describe, and forecast the global 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 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)
Generating Response ...
Growth opportunities and latent adjacency in Autonomous / Self-Driving Cars Market