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市場調查報告書
商品編碼
635762

全球自動駕駛車市場:成長,趨勢,預測(2018年∼2023年)

Autonomous/Driverless Car Market - Growth, Trends, COVID-19 Impact, and Forecast (2022 - 2027)

出版日期: | 出版商: Mordor Intelligence Pvt Ltd | 英文 90 Pages | 商品交期: 2-3個工作天內

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  • 全貌
  • 簡介
  • 目錄
簡介

自動駕駛汽車/無人駕駛汽車,顧名思義就是具有傳統汽車運輸能力的汽車,並且可以通過感知周圍環境進行導航,而不受人為干擾。自動駕駛汽車使用諸如雷達,激光雷達,GPS和計算機視覺等技術來感知其環境。全球自動駕駛車市場在2018年到2023年這段調查期間中,預測將以36.2%的年複合成長率推移。

本報告提供全球自動駕駛車市場相關調查,提供市場概要,各類型的市場趨勢,市場規模的變化與預測,成長要素·阻礙因素及市場機會分析,競爭情形,主要企業的簡介等系統性資訊。

目錄

第1章 簡介

  • 調查的成果
  • 調查的前提條件

第2章 調查方法

  • 簡介
  • 調查手法
  • 調查階段
  • 計量經濟學建模

第3章 摘要整理

第4章 市場概要與趨勢

  • 簡介
  • 市場趨勢
  • 波特的五力分析
    • 買方議價能力
    • 供給企業談判力
    • 新加入廠商業者的威脅
    • 替代品的威脅
    • 競爭企業間的敵對關係

第5章 市場動態

  • 成長要素
    • 連網汽車技術的進步
    • 安全有效率的運輸手段的需求
  • 阻礙因素
    • 網路安全
    • 安全性的疑慮
    • 缺乏支援的基礎設施
  • 市場機會
    • 行動服務
    • 跟LiDAR技術的融合

第6章 全球自動駕駛車市場:各類型

  • 半自動駕駛車
  • 完全自動駕駛車

第7章 主要企業分析(概要,產品與服務,策略)

  • Uber
  • Mercedes-Benz
  • Google
  • 豐田汽車
  • Nissan
  • Volvo
  • General Motors
  • Volkswagen
  • Tesla
  • BMW

第8章 市場未來展望

第9章 免責聲明

目錄
Product Code: 50963

The autonomous (driverless) car market was valued at USD 20.97 billion in 2020, and it is expected to reach USD 61.93 billion projecting a CAGR of 22.75%, during the forecast period.

The COVID-19 pandemic has impacted the overall automotive industry, compelling automakers to cut down the output at their production plants. COVID-19 has also impacted the operations of many OEMs, from production to R&D creating short-term disruption delaying autonomous cars deployment and rollouts.

The recent technological advancements in the fields of artificial intelligence, machine learning, and other sensors like RADAR, LIDAR, GPS, and computer vision, have enabled manufacturers to increase self-driving capabilities in cars. Though there are varying levels of autonomy, major players are working towards more advanced control systems integrated into the car that can interpret the sensory inputs to detect signboards or avoid collisions.

Currently, most of the autonomous cars in the market belong to Level 2 and Level 3 which have advanced driver assistance systems, like collision detection, lane departure warning, and adaptive cruise control. Although Level 4 and Level 5 (as scaled by SAE) autonomous cars are unlikely to reach wide acceptance, by 2030, it is expected that there would be rapid growth for Level 2 and Level 3 autonomous cars until then. Fully autonomous cars will not reach a wide customer base unless they are entirely safe from cyber-attacks. If such concerns are addressed, the autonomous car market is estimated to have positive growth in the coming years.

Major automaker companies, technology giants, and specialist start-ups have invested more than USD 50 billion over the past five years to develop autonomous vehicle (AV) technology, with 70% of the money coming from outside the automotive industry. As public authorities understand that autonomous vehicles have vast potential and offer economic and social benefits, they will likely continue to support the concerned market.

Key Market Trends

Lidar Technologies will propel the growth of the Market

The principal components of autonomous vehicles are sensors and cameras, Lidar acts as an eye for self-driving vehicles as it provides a 360-degree view of the surrounding, which helps vehicles drive on their own, safely. It is used by many autonomous vehicles to navigate environments in real-time. Its advantages include accurate depth perception, which allows LiDAR to know the distance to an object to within a few centimeters, up to 60 meters away. It's also highly suitable for 3D mapping, which means returning vehicles can then navigate the environment predictably a significant benefit for most self-driving technologies.

One of the key strengths of LiDAR is the number of areas that show potential for improvement. These include solid-state sensors, which could reduce its cost tenfold, sensor range increases of up to 200m, and 4-dimensional LiDAR, which senses the velocity of an object as well as its position in 3-D space. However, despite these exciting advances, LiDAR is still hindered by a key factor; its significant cost.

Following the SAE (Society of Automotive Engineers) International automated driving standards, cars with level 1-3 automation features have been considered under the market segment of semi-autonomous vehicles. Level 1 automation is a common feature in most of the current car models of major automakers, like Audi, BMW, and Mercedes-Benz. Level 2 include Models, like Volvo Pilot Assist, Mercedes-Benz Drive Pilot, Tesla Autopilot, and Cadillac Super Cruise, have been supplied with level 2 automation features. Level 3 automation is referred to as conditional automation. In level 3 automation, the autonomous cars driving system performs all the dynamic driving tasks with the expectation that the human driver will respond appropriately to a request to intervene. The dynamic driving task includes steering, breaking, accelerating, changing lanes, and monitoring the vehicle, along with responding to events happening on the road.

Even in the pandemic, autonomous cars witnessed a rise in sales, as in 2020, around 11.2 million cars were sold with level 2 features, which is an increase of 78% from 2019. To cater to the demand, automakers around the world are introducing new level 2 autonomous vehicle models. For instance,

  • In April 2021, Citroen unveiled its new models, C5 X SUV. This new model was offered in both gasoline and plug-in hybrid versions. C5 X offers a semi-autonomous level 2 driving in compliance with current legislation.

North America will dominate the Market

North America is expected to dominate the market in the forecast period. Owing to factors like strong and established automotive company clusters and also being the home for the world's biggest technology companies like Google, Microsoft, Apple, etc the region has been a pioneer regard to autonomous vehicles. Particularly in the United States, self-driving cars have already been tested and used in California, Texas, Arizona, Washington, Michigan, and other states of the United States. However, their mobility is currently restricted to specific test areas and driving conditions.

Various technology companies in the country are reaching new milestones in terms of total miles tested. For instance, Cruise LLC completed 2020 by doubling its figure of how far its cars can go before a safety driver needs to take over. The company reported 27 disengagements during the 770,000 miles testing in California. During testing in 2020, the human driver had to take over every 28,520 miles compared to every 12,221 miles last year.

Similarly, Apple Inc. completed road testing of its self-driving cars in 2020, which experienced more than double the miles traveled than in 2019, attributed to its improved autonomous technology. The company's cars drove 18,805 miles in 2020, as compared to 7,544 miles in 2019, according to a report of the California Department of Motor Vehicles.

Apart from various local companies, the country is witnessing the entry of companies from other countries. For instance, in February 2021, Vietnam's domestic automaker, Vinfast, announced that it had obtained a permit to test autonomous vehicles on California's public streets. The company was seeking this permit to commercialize its electric vehicles in the US market.

Following North America, Asia-Pacific is also expected to have a positive growth in the forecast period due to the factors like China being the biggest automotive market in the world, Manufacturing capabilities of countries like Japan, South Korea, and also emerging economies like India.

Many automakers are teaming up with the local ride hailing companies to deploying their vehicle in the autonomous taxi fleet. For instance, in April 2021, Volvo Cars and DiDi Autonomous Driving, signed a strategic collaboration agreement on autonomous vehicles for DiDi's self-driving test fleet. Volvo Cars will be providing DiDi with XC90 cars equipped with necessary backup systems for functions such as steering and braking; and along with that automaker will collaborate with DiDi Autonomous Driving to integrate the additional software and hardware required for autonomous drive.

In India automakers are partnering with institutes for the research in autonomous vehicles. For instance, in March 2021, MG Motor India joined hands with IIT Delhi's Centre for Automotive Research and Tribology (CART) for research in the field of electric and autonomous vehicles. IIT Delhi will help MG to further focus on CASE mobility (Connected - Autonomous - Shared - Electric); through enabling supporting research for deployment of electric and autonomous vehicles in the urban landscape in India.

Competitive Landscape

Many players from the hardware to software firms in the automotive industry have started focusing on entering into the growing trend of autonomous driving technology. Thus, partnerships, collaborations, and investments toward developing autonomous vehicles increased significantly in the automotive industry over the past three years (i.e., 2018-2020). They are likely to continue growing during the forecast period, primarily due to the increasing support from governments and private sectors across several countries to promote autonomous driving vehicle technology.

In January 2021, Automotive Grade Linux announced that it had included Aicas, AVL, and Citos as new Bronze members. AGL is an open-source project at the Linux Foundation that brings together automakers, suppliers, and technology companies to accelerate the development of all technologies related to vehicles, including autonomous driving.

Similarly, in January 2021, the automotive technology company, Veoneer, Inc., and Qualcomm Technologies, Inc. have signed an agreement under which the companies will collaborate on the delivery of scalable Advanced Driver Assistance Systems (ADAS), Collaborative and Autonomous Driving (AD) solutions.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Technology Trends
  • 4.2 Market Drivers
  • 4.3 Market Restraints
  • 4.4 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.4.1 Threat of New Entrants
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Bargaining Power of Suppliers
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Type
    • 5.1.1 Semi-autonomous Vehicles
    • 5.1.2 Fully-autonomous Vehicles
  • 5.2 Geography
    • 5.2.1 North America
    • 5.2.2 Europe
    • 5.2.3 Asia-Pacific
    • 5.2.4 Rest of the World

6 COMPETITIVE LANDSCAPE

  • 6.1 Vendor Market Share
  • 6.2 Company Profiles
    • 6.2.1 Uber Technologies Inc.
    • 6.2.2 Daimler AG
    • 6.2.3 Waymo LLC (Google Inc.)
    • 6.2.4 Toyota Motor Corp.
    • 6.2.5 Nissan Motor Co. Ltd
    • 6.2.6 Volvo Car Group
    • 6.2.7 General Motors Company
    • 6.2.8 Volkswagen AG
    • 6.2.9 Tesla Inc.
    • 6.2.10 BMW
    • 6.2.11 Aurora Innovation Inc

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

8 DISCLAIMER