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Autonomous Vehicle Market by Autonomy Level, Powertrain Type, Components, Supporting Technologies and ICT Infrastructure 2025 - 2030
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Overview:

This report offers a comprehensive analysis of the autonomous vehicle (AV) market, forecasting its growth across different segments and regions from 2025 to 2030. It provides global and regional forecasts for the autonomous vehicle market including hardware, software, and services along with emerging technologies. The report covers:

The Disruptive Impact of AVs

AVs are set to revolutionize the automotive industry, impacting everything from personal transportation and public transit to commercial fleets and insurance practices.

This disruption will intensify as vehicles become more autonomous, evolving from human-controlled to fully automated systems. AVs are expected to become the foundation of "transportation as a service" globally.

The report also examines the disruption caused by electric vehicles (EVs) and their impact on the automotive supply chain, consumer perception, and vehicle lifecycle management.

Factors Driving AV Growth

The AV market is poised for rapid growth, driven by factors like cost reduction, safety improvements, and evolving consumer attitudes. Government initiatives, such as the U.S. Department of Transportation's Automated Vehicles Comprehensive Plan, are also playing a key role in fostering AV adoption.

Global Developments

The report highlights global efforts to advance AV technology, with countries like China and South Korea making significant investments in research and infrastructure development.

The US is home to many leading AV companies like Tesla, Waymo, and Cruise, driving innovation in areas like AI, sensor technology, and software development. However, the Chinese government is heavily investing in AV technology and infrastructure, aiming to become a global leader in the field.

Consumer Benefits

AVs offer numerous benefits to consumers, including lower transportation costs, increased accessibility, and opportunities for ride-sharing and fractional ownership. These benefits are expected to significantly impact traditional automakers and the overall automotive industry ecosystem.

Consumer benefits go beyond private ownership as ride sharing via so called "robo-taxis" is becoming increasingly popular within certain geographic locations.

Challenges and Opportunities

While public trust and safety concerns remain, the AV market is moving beyond the early adopter phase. The report takes into consideration current challenges, such as existing sensor technology can struggle in adverse weather conditions (e.g., heavy rain, fog, snow) and may have difficulty accurately perceiving complex or unpredictable environments.

Overcoming these and other challenges will require collaboration between automakers, technology companies, policymakers, and the public. By addressing these hurdles, the autonomous vehicle industry can pave the way for a future where self-driving cars revolutionize transportation, making it safer, more efficient, and more accessible for all.

The biggest opportunity is for autonomous vehicles to gain development and adoption scale. Currently, developing and deploying autonomous vehicle technology is expensive, which can limit its accessibility and affordability for consumers. Scaling up production and achieving mass adoption of autonomous vehicles will require significant investment in manufacturing, infrastructure, and support systems.

Due to these challenges and other factors, widespread adoption is anticipated by 2030.

Connected Vehicles and AVs

The report also explores the convergence of connected vehicles and AVs, both of which rely on IoT technologies and advanced connectivity solutions. This convergence will lead to new in-vehicle experiences and applications for passengers.

Commercial Applications

The report highlights the growing use of AVs in commercial fleets, particularly in the shipping and trucking industries. Heavy haul trucking is identified as a key area for AV adoption.

This report provides a comprehensive overview of the autonomous vehicle market, its potential impact, and the factors driving its growth. It offers valuable insights for stakeholders across the automotive ecosystem, including manufacturers, technology providers, policymakers, and consumers.

Report Benefits:

Select Report Findings:

Organizations in Report:

  • 360 Capital Partners
  • AB Volvo
  • AEye
  • AImotive
  • Alibaba
  • Alphabet Inc.
  • Amazon
  • AMD
  • American Center Mobility
  • Ansys
  • Apple
  • Aptiv
  • Arbe Robotics
  • Argo
  • Aston Martin
  • Audi AG
  • Aurora
  • Autoliv Inc.
  • Autotalks Ltd.
  • AutoX
  • AyeAI
  • BAIC Group
  • Baidu Inc.
  • Baojun
  • Beijing Automotive Group
  • Beijing TrunkTech Co. Ltd.
  • BharatBenz
  • Blackberry QNX
  • BMW AG
  • Bosch
  • BYD
  • Cadillac
  • CarShield
  • Chevrolet
  • China Mobile
  • Chrysler
  • Cisco Systems Inc.
  • Civil Maps
  • CNH Industrial Group
  • Cobra
  • Cognata
  • Cohda Wireless
  • Commsignia
  • Continental AG
  • Cruise LLC
  • DAF Trucks
  • Daimler AG
  • Datsun
  • DeepMap
  • DeepScale
  • DeNA
  • DENSO Corporation
  • Detroit Diesel
  • Didi Chuxing Technology
  • Dodge
  • Domino's
  • DOT
  • Drive.ai
  • Drvline
  • DS
  • EasyMile
  • Einride
  • Embark Trucks
  • Ericsson
  • Facebook
  • Faction Technology
  • FedEx
  • Ferrari
  • Fiat
  • Ficosa International SA
  • Ford Motor Company
  • Freescale Semiconductor
  • Freightliner Trucks
  • GAC Aion [New Product Launch]
  • Gatik
  • Geely
  • General Motors
  • Geometry
  • Glory Ventures
  • Google
  • Grab
  • GrabTaxi Holdings
  • Groupe PSA
  • Groupe Renault
  • Harman
  • HERE Maps
  • HERE Technologies
  • Hesai Tech
  • HiRain Technologies
  • Hitachi
  • Holden
  • Honda Motor Company
  • Huawei
  • Hyundai
  • iBionext
  • Idriverplus
  • Infiniti
  • Innoviz
  • Innoviz Technologies
  • Innovusion
  • Intel Corp.
  • InVisage Technologies
  • Iveco
  • Jaguar Land Rover
  • Jasper
  • Jeep
  • Jiangling Motors
  • Jiefang
  • KAMAZ
  • Kroger
  • Lab126
  • Lancia
  • LeddarTech
  • LEVC
  • Light
  • LiteOS
  • Loblaw Companies Ltd.
  • Local Motors
  • LoJack
  • Lotus Cars
  • Luminar Technologies Inc.
  • Lunewave
  • Lyft
  • LYNK & CO
  • Magna International
  • MAN SE
  • Maserati
  • May Mobility
  • Mercedes Benz
  • Metawave
  • MG Cars
  • Microsoft Corp.
  • Mimik Technology
  • Mistral Solutions
  • Mitsubishi Fuso Truck and Bus Corporation
  • Mitsubishi Motors Corporation
  • Momenta
  • Motional
  • MV Agusta
  • Naver
  • Navya
  • NHTSA
  • NIO
  • Nissan Motor Corporation
  • Nuro
  • nuTonomy
  • Nvidia Corp.
  • NXP Semiconductors
  • OpenDNS
  • Optimus Ride
  • Ouster Inc.
  • Paccar Inc.
  • Panasonic Corp.
  • Peterbilt Motors Company
  • Pix-E
  • Plus
  • Polestar
  • Pony.ai
  • Porsche
  • Porsche AG
  • Postmates
  • Prophesee
  • PROTON Holdings
  • Qualcomm
  • Quanergy Systems Inc.
  • Ram Trucks
  • ReachNow
  • Renault
  • Renault-Nissan-Mitsubishi Alliance
  • Robert Bosch GmbH
  • Robosense
  • Royal Institute of Technology
  • SAIC Motor
  • SAIC Motors
  • Samsung Electronics Co.
  • Scania AB
  • Sedric
  • Sensible 4
  • Setra
  • Seyond
  • SHIELD
  • Shopbop
  • Smart Automobile
  • Smarter Eye
  • SoftBank
  • SoftBank Corp.
  • Sony
  • Stellantis
  • StreetDrone
  • Supernova Invest
  • Tata Motors
  • Tegra
  • Telia Company AB
  • Tencent
  • Terrafugia
  • Tesla Inc.
  • The Book Depository
  • Thomas Built Buses
  • TomTom
  • Toshiba
  • Toyota Motor Corporation
  • Troller
  • TrunkTech
  • TuSimple
  • Twitch
  • Uber Technologies Inc.
  • Ursa Robotics
  • Valeo
  • VectoIQ Acquisition Corporation
  • Velodyne
  • Velodyne Lidar, Inc.
  • Vertex Ventures
  • Viper
  • Visteon
  • Volkswagen AG
  • Volvo Group
  • Voyage [V2X Sensors and Communications]
  • Walmart Inc.
  • Waymo LLC
  • WebEx
  • WeRide
  • Western Star
  • Woot
  • Wuling Motors
  • Yutong Group
  • Zenuity
  • ZF Friedrichshafen
  • Zhejiang Geely Holding Group
  • Zoox Inc.

Table of Contents

1.0. Executive Summary

2.0. Introduction

3.0. Autonomous Systems Technology and Market Analysis

4.0. Autonomous Vehicle Ecosystem Case Studies

5.0. Autonomous Vehicle Ecosystem Analysis

6.0. Autonomous Vehicle Market Analysis and Forecasts 2025-2030

7.0. Conclusions and Recommendations

8.0. Appendix: Autonomous Vehicles and Smart City Integration

Figures:

Tables:

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