Global ADAS & Autonomous Driving Technology Report 2020-2040: Current Effect of COVID-19 on Development of Autonomous Driving Technologies and its Future Impact

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Sep 16, 2020, 09:30 ET

DUBLIN, Sept. 16, 2020 /PRNewswire/ -- The "Edition 2020, ADAS & Autonomous Driving Technology - Market & Industry Analysis, Forecast - 2020 - 2040" report has been added to ResearchAndMarkets.com's offering.

By the end of 2020, the global passenger vehicle demand is predicted to plunge by 11% due to Covid-19 pandemic and commercial vehicle industry is expected to witness a fall in the demand for the first time in the decade.

All the major markets are estimated to witness sharp decline, while, the countries including the U.S., Italy, India, France, South Korea, Japan, China, United Kingdom, and Spain are expected to witness fall of more than 10%. From a more optimistic perspective, the year 2021 could see a positive growth- curve in terms of passenger cars demand; however, the auto industry would at least need minimum of 5 years' time to regain the sales volumes of 2019.

The publisher predicts that passenger vehicle demand is expected to grow by 1.9% between 2020 to 2030 with more than 56 million cars equipped with some level of autonomy. The penetration rate of level 1 and level 2 autonomy would be highest during these years; while, level 3 autonomy will take slower pace. Besides, as per the current industry developments from tech companies and traditional OEMs, level 4/5 AVs for ride-hailing or car sharing are likely to be on streets by 2025. The trend shows that AVs for shared mobility would see larger scale deployment from 2025, across big cities with connected infrastructure and with high population density.

The detailed analysis of the ADAS & autonomous driving technology penetration in passenger and commercial vehicles, robotaxis, shuttles, pods and goods-delivery vehicles, autonomy package analysis, sensor and sub-component market, competitive assessment, and trends finds a major place in latest report Edition 2020, ADAS & Autonomous Driving Technology- Market & Industry Analysis, Forecast - 2020 - 2040 published in June 2020.

The current effect of COVID-19 on auto sales, development of autonomous driving technologies and its future impact have been considered in the market analysis of the study.

The autonomous shuttles and good-delivery autonomous vehicles have been deployed in few countries during this pandemic time which is expected to further give a push to this market. A separate analysis on these autonomous commercial vehicles and the competition between the players have been included in the study. Autonomous Mobility-as-a-Service (MaaS) has been a trending topic and automakers are promoting driverless ridesharing as low-cost transit option that has potential to change the transportation system. Car sharing is great opportunity particularly for the companies having hands-on autonomous vehicles such as Tesla, Daimler, Waymo, and others. Driverless ridesharing is expected to become future of intelligent transportation. The early deployment of robotaxis is expected in the countries of Western Europe, the U.S., China, and Japan. However, post 2030, the deployment in Chinese market is anticipated to overtake the Western markets of the U.S. and Europe. The study has also focused on these potential markets and anticipated the demand for this way of commute in near future. By 2025, the commercial vehicle industry is expected to get disrupted largely by autonomous and connected vehicle technology. This penetration of autonomous driving in trucking industry is expected to bring multiple changes in the operations of OEMs and tech players. The development of SAE level 1 and level 2 trucks is making steady progress and expected to gain momentum early this year (2020) in some states of the U.S. and few European countries; while level 4 autonomy of trucks with estimated time to market between 2025 to 2030. The report is inclusive of level wise analysis of the complete commercial vehicle industry.

Sensors and software are the vital components for enabling the automation in the passenger as well as commercial vehicles. A typical autonomy package consist of key technologies such as - sensing and mapping hardware, sensor-supporting hardware, mapping and localization software, control systems and computing hardware, control system software, data/cyber security software, connectivity hardware, V2X/connectivity software, HMI & safety related hardware, and HMI software. While the key components are LiDAR, camera, radar, V2X hardware and software, mapping hardware and software, HMI hardware and software, cyber security software, embedded controls hardware and software, and other electronics & architecture. The market analysis of sensor suite and sub-components in the autonomous vehicle accounts the major share in the study. The autonomy package and the cost vary with every level of automation, which is also represented graphically in this study.

Moreover, to understand industry sentiments and every other aspect of this industry, the automotive analysts and consultants have interviewed more than 30 players in the ecosystem. These includes the OEMs, new entrants, sensor suppliers, component manufacturers, tier-1s, and tier-2s. Furthermore, the key enablers that are pushing the market towards new growth prospects and challenges that needs to be worked upon are analyzed in this research study. Also, understanding of the latest technological advancements and opportunities that could disrupt this market in near future, find a significant place in this study.

Key Topics Covered:

01 Scope of Research

02 Research Methodology

03 Automotive Demand Post Covid-19

04 ADAS Passenger Vehicles - Level 1 & 2

05 Autonomous Oem Passenger Vehicles - Level 3 and Above

06 Robotaxis - Autonomous Mobility-As-A-Service

07 ADAS and Autonomous Commercial Vehicles
7.1 Role of Suppliers in Autonomous Trucking Industry

08 Camera Sensor
8.1 Market Forecast
8.1.1 Camera Demand by Levels of Automation
8.1.2 Camera Demand by Technology Types
8.2 Technology Trends
8.2.1 Forward Main Camera (Mono, Stereo, Triple)
8.2.2 Surround-View Camera System
8.2.3 Thermal Camera
8.2.4 In-Cabin Monitoring - Driver Monitoring System and Gesture Recognition
8.3 Suppliers Analysis
8.4 Image Sensor Suppliers Analysis
8.5 Tier 1 Suppliers Analysis

09 Radar Sensor
9.1 Market Forecast
9.1.1 Radar Demand by Levels of Automation
9.1.2 Radar Demand by Technology Types
9.2 Technology Trends
9.2.1 Short/Medium-Range Radar
9.2.2 Long-Range Radar
9.2.3 High-Resolution Imaging Radar/4D Radar
9.3 Suppliers Analysis

10 Lidar Sensor
10.1 Market Forecast
10.2 Technology Trends
10.2.1 Mechanical Scanning Lidar
10.2.2 Solid-State Lidar
10.2.3 Lidar Suppliers Analysis
10.3 Lidar Sub-Components
10.3.1 Photodetector Technologies
10.3.2 VCSEL

11 Autonomy Package Cost Analysis
11.1 Value Share of Components for L1 and L2 Autonomy Packages
11.2 Value Share of Components for L3 and Above Autonomy Packages

12 Accessing Countries AD Regulations and Impact
12.1 North America
12.2 Europe
12.3 Latin America
12.4 Australia
12.5 Asean

13 Accessing Countries' Autonomous Vehicles Readiness Index

14 ADAS and AD R&D Spendings
14.1 Country Level Assessment
14.2 OEM R&D Assessment

15 Private Investments in ADAS and AD Industry

16 Macro Factors Impact on ADAS & AD Industry

17 Micro Factors Impact on ADAS & AD Industry

18 Tier-1 Suppliers Landscape
18.1 Tier 1 Suppliers R&D Expenses Assessment
18.2 Tier 1 Suppliers - Oems Partnership Mapping
18.3 Tier 1 Suppliers - Strategic Partnership Mapping

19 Appendices
19.1 ADAS and Autonomous Functions
19.2 Levels of Autonomy
19.3 Autonomous Driving from Consumers Perspective
19.4 List of Companies Analysed in this Study

Companies Mentioned

2getthere
ABAX Sensing
AdaSky
Advanced Scientific Concept
Aeva
Aeye
Affectiva
AIMotive
AIRY3D
Allied Vision
Ambarella
ams
AMS (Acquired CMOSIS in 2015)
Analog Devices
Apex.Ai
Apple
Aptiv
Arbe Robotics
Argo (Ford & VW)
Artilux
Audi
Aurora Innovation
Aurrigo
AutoX
Baidu
Baidu King Long
Baraja
Beamagine
Beiqi Foton Motor Co., Ltd. (Subsidiary of BAIC Group)
BelAZ
Benewake
Blackmore Sensors and analytics (Acquired by Aurora)
Blickfeld
Blink AI Technologies
BMW
Bosch
Box Bot
Bright Way Vision
Broadmann17
BYD Co Ltd
Byton
Carnavicom
Carnegie robotics
Caruma Technologies (not Operating)
Carvi
Caterpillar Inc.
Cepton technologies
CEVT
Chongqing Jinkang
CNH Industrial and subsidiary IVECO
Coast Autonomous
Colorado Engineering Inc.
Compound Eye
Continental
DAF Trucks (Subsidiary of Paccar)
Daimler
Denso
DGWORLD
Didi Chuxing
Draper Lab
EasyMile
Echodyne
Einride
Embark
Embedded vision systems
Encradar
Epilog AI
Espros Photonics corporation
Espros Photonics corporation
FABU
Fastree3D
FAW Group
FCA
Ficosa
Five AI
FLIR
Ford
Ford Otosan (Parent company Ford)
Foresight Autonomous Holdings Ltd.
FotoNation (acquired by Xperi)
Freightliner Trucks (Parent company Daimler Trucks North America)
Furukawa Electric
GACHA Sensible4 and MUJI
Gardian optical Technologies
Gatik AI
Geely
Genius Pros
Ghostwave
GM
GM Cruise
Grab
Great Changes, Inc.
Harman (Samsung)
Haylion Technologies
HealthyRoad
Hella
Hella Aglaia
Hesai
Himax Technologies Inc.
Hino Motors
Hirain
Hitachi Construction Machinery
Honda
Hybrid LiDAR Systems AG
Hyundai
Hyundai Mobis
IAV
Ibeo Automotive System
IEE
Infineon
Infineon Technologies AG
INFOWORKS
InnoSenT
Innoviz technologies
Innovusion
Insight LiDAR
Intellivision
Ionterra
IPROC (no Website)
Irvine Sensors Corporation
Isuzu Motors Ltd
Jabil Optics
JAC Motors (Jianghuai Automobile Co)
JLR (subsidiary of Tata Motors)
John Deere
JS LiDAR
JSC KAMAZ
Kalray
Kamaz
Kelios
Kenworth Trucks (Parent company PACCAR)
Kodiak Robotics
LeddarTech
Leishen Intellignet Systems
LG
Lidence
LightMetrics
livox tech
Local Motors
Locomation
Lorentech
Luminar
Lumotive
Lunewave
LyfeLens (No Website)
Lyft
Lytx
Mack Trucks
MAN Trucks & Bus
Mando Halla
May Mobility
Melexis
Melexis
Metawave
Mirada Technologies
Mitsubishi
Mitsubishi electronic corporation
Mobileye
MOBILTECH
Myakiatto
NavInfo
Navistar International Corp
Navya
Neolix
Neptec Technologies
NEVS
Nidec
NIO
Nissan
Nullmax
Nuro
Nvidia
Oculii
Ohmio Automation
Omnivision
ON Semiconductor
Opel (GM)
Opsys Tech
Optalert
Optimus Ride
Ouster
Owl Autonomous Imaging
PACCAR
Panasonic
Panasonic
Pathpartner Technology Inc.
Peloton Technology
PerceptIN
Perrone Robotics
Peterbilt (Parent company PACCAR)
Phantom Intelligence
Pioneer
PixelPlus
PMDTechnologies
Pony.ai
Porsche
Princeton Lightwave (Acquired by Argo AI)
Prophesee
PSA Group
Puls.ai
Quanergy System
Redsensors
Renault
Renesas
Renesas
RIDECELL
Ridecell Auro
Rivian
RoadAngel
RoadEyes
Roadsense (Trakm8)
Robosense
SAIC
Samsung
Samsung
Sany Heavy Industry Co., Ltd
Satir
SCANIA
Seeing Machine
Seek Thermal (Not yet launched)
Sense Photonics
SF Motors / Seres
Shaanxi Automobile Group
SICK AG
SiLC Technologies
Sinotruk
SmartDrive Systems
SmartEye
SmartSens Technology Co. Ltd.
Sony
SOS Labs
ST Engineering
Starsky Robotics (Shut down)
Steradian Semiconductor
STMicroelectronics
STMicroelectronics
StradVision
Strobe Inc (Acquired by Cruise)
SureStar
Tanway
Tata Motor Corp
Telenav
Tencent
Tesla
Tetravue
ThorDrive
Torc Robotics (Daimler acquired)
Towerjazz
Toyota
Transdev and Lohr group
TriEye
Trilumina
Turboroto
TuSimple
Uber (Volvo Cars, toyota, Denso)
Udelv
Uhnder
Valeo
Vayyar Imaging
Velodyne LiDAR
Veoneer
Vicomtech-IK4
Videantis
viisights
Volkswagen
Volvo Cars
Volvo Trucks
Voyage
Waymo
Waymo
WeRide (JingChi)
Westfield
Wuhan Guide Infrared Co. Ltd.
XenomatiX
Yandex
Zenuity
ZF
Zoox
ZVISION

For more information about this report visit https://www.researchandmarkets.com/r/del99i

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