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半自动驾驶汽车市场：现况分析与预测（2023-2030）
市场调查报告书
商品编码
1346756

半自动驾驶汽车市场：现况分析与预测（2023-2030）

Semi-Autonomous Vehicle Market: Current Analysis and Forecast (2023-2030)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 145 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

由于车辆安全功能的需求不断增加，半自动驾驶汽车市场预计将稳定成长在39.94%左右。对乘客保护和安全的需求迅速增长已成为推动半自动驾驶汽车发展的关键因素。随着交通安全挑战不断加剧，分心、瞌睡和鲁莽骑乘事件不断增加，客户正在寻求能够缓解这些风险的尖端解决方案。例如，2022年6月，世界卫生组织（WHO）宣布，2022年全球将有约135万人死于交通事故。其中约 94%（125 万人）是由于人为错误造成的，包括超速、酒精、分心驾驶、鲁莽驾驶和乘客不繫安全带。半自动驾驶汽车无缝整合雷射雷达、雷达、电脑视觉等先进技术，在一定条件下自动执行转向、煞车、加速等任务，消除了人为疏忽，降低了因车辆原因造成事故的机率。此外，这些车辆的设计目的是主动提醒驾驶即将发生的威胁，并透过直觉的介面鼓励采取警报行动。因此，汽车产业对改进安全功能的需求逐渐增加，为半自动驾驶汽车市场创造了巨大的成长潜力。

根据自动化水平，市场分为1级、2级和3级。其中，由于车道偏离警告、自适应巡航控制和碰撞侦测等先进的驾驶员辅助功能，预计 3 级细分市场将在预测期内产生最高的收入。这些功能的设计和配备是为了提高乘员和其他道路使用者的整体安全性。此外，车道偏离警告系统会在驾驶无意偏离车道时发出警告，有助于降低因驾驶分心或嗜睡而发生碰撞的风险。例如，预计到 2022 年，疲劳和困倦等诱发因素将导致全球 30,000 人死亡。

根据组件，市场分为摄影机、光达、雷达等。相机领域目前在收入方面占据市场主导地位，预计在预测期内也将继续占据主导地位。这是因为摄影机可以提供高解析度影像和准确的物体侦测，使其成为半自动驾驶车辆的重要组成部分。此外，半自动驾驶车辆严重依赖大量感测器和摄影机来处理数据并针对周围环境做出明智的决策。此外，随着时间的推移和规模经济的发展，摄影机的价格多年来一直在下降，使得半自动驾驶汽车可以负担得起。这将提高其知名度并进一步巩固其在市场中的地位。

根据推进类型，市场分为内燃机和电动。电动细分市场目前处于市场领先地位，并且随着政府法规转向更严格的排放标准以减少碳排放并促进永续交通，预计在预测期内将继续占据主导地位。此外，儘管电动车的初始成本高于内燃机汽车，但由于燃油价格较低和维护要求较低，因此营运成本较低。随着电池技术的不断改进，电动车的成本将继续上升，并变得更加流行。由于其瞬时扭矩，电动车通常比内燃机汽车加速更快、操控性更好。这使其成为需要快速反应的半自动驾驶应用的理想选择。

根据 ADAS 功能，市场分为车道辅助、碰撞警告系统、自适应巡航控制、智慧停车等。自适应巡航控制领域占据最大的市场份额，预计在预测期内也将呈现类似的趋势。自适应巡航控制是一项允许车辆主动保持一定速度和跟随距离而无需人工干预的功能。此功能使用雷达、光达或摄影机来侦测周围车辆的速度和距离，并相应地调整主车辆的速度。自适应巡航控制近年来受到广泛欢迎，因为它可以缓解交通拥堵并增强道路交通保护。此外，自适应巡航控制系统的实施透过减少油耗和降低保险费为使用者带来切实的经济利益。

为了更了解造船业的市场实施情况，将市场分为北美（美国、加拿大、墨西哥和北美其他地区）、欧洲（德国、英国、法国、义大利、西班牙和欧洲其他地区） 、亚太地区（中国、日本、印度、韩国、亚太地区其他地区）以及世界其他地区。由于早期采用和蓬勃发展的汽车工业，北美地区在历史性的一年中主导了市场。此外，政府的财政和监管支持正在加速该地区半自动驾驶汽车的成长。然而，亚太地区正在经历快速城市化，许多人从农村地区迁移到城市地区，个人出行需求不断增加，以及亚洲对高效交通解决方案的需求，预计将成为亚太地区增长最快的地区预测期内，部分原因是太平洋地区的急剧增加。半自动驾驶汽车为这个问题提供了一个可行的解决方案，因为它们可以缓解交通拥堵并减少旅行时间。此外，亚太地区各国政府正透过政策改革和财政支持积极推动自动驾驶和半自动驾驶汽车的采用。例如，2023年8月，中国发布了第一份国家公共交通使用自动驾驶汽车指南草案。同月，湖北省武汉市和重庆市永川区相关部门批准国内首家百度在指定区域进行无人驾驶叫车服务收费。

目录

第一章 半自动驾驶汽车市场简介

  • 市场定义
  • 主要目标
  • 利益相关者
  • 限制

第二章 研究方法或假设

  • 调查过程
  • 调查方法
  • 受访者简介

第三章市场总结

第 4 章执行摘要

第五章 COVID-19感染对全球汽车电磁阀的影响

第六章 2020-2030年全球汽车电磁阀收入

第 7 章：按自动化层级划分的市场洞察

  • 1级
  • 2级
  • 3级

第 8 章按组件划分的市场洞察

  • 相机
  • 骑士
  • 雷达
  • 其他（超音波感测器、立体相机等）

第 9 章 依推进类型划分的市场洞察

  • 冰
  • 电气

第 10 章 ADAS 功能的市场洞察

车道辅助

碰撞预警系统

自适应巡航控制

智慧园区

其他（十字路口警告、自动紧急煞车等）

第10章按地区划分的市场洞察

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
    • 北美其他地区
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 意大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 亚太地区其他国家
  • 世界其他地区

第十二章半自动驾驶车辆动力学

  • 市场驱动力
  • 市场挑战
  • 影响分析

第13章：半自动驾驶汽车的机会

第14章半自动驾驶汽车的趋势

第十五章需求侧与供给面分析

  • 需求面分析
  • 供给侧分析

第十六章价值链分析

第17章价格分析

第十八章战略洞察

第19章 竞争场景

  • 竞争格局
    • 波特五力分析

第二十章 公司简介

  • BMW AG
  • Audi AG
  • Daimler AG
  • Ford Motor Company
  • General Motors
  • Volkswagen
  • Mahindra & Mahindra Ltd.
  • BYD Company Ltd.
  • Tesla, Inc.
  • Hyundai Motor Company

第21章 免责声明

简介目录
Product Code: UMAU212217

A semi-autonomous vehicle is a kind of vehicle that combines elements of conventional manual control and autonomous driving. In a semi-self-reliant vehicle, the driver remains responsible for controlling the vehicle; however, the vehicle also provides assistance with certain tasks, which include steering, acceleration, and braking, using various sensors and actuators.

The semi-autonomous vehicle market is expected to grow at a steady rate of around 39.94%, owing to the growing demand for safety features in vehicles. The burgeoning requirement for passenger protection and security has emerged as a pivotal aspect propelling the development of semi-autonomous vehicles. As difficulty regarding street safety continues growing amidst the surge in distracted, drowsy, and reckless riding incidents, customers are looking for cutting-edge solutions that may mitigate those dangers. For instance, in June 2022, According to the World Health Organization (WHO), there were approximately 1.35 million fatalities globally due to road traffic accidents in 2022. Of these, around 94% (1.25 million) were attributed to human error, such as speed, alcohol, distracted driving, reckless driving, and unbelted occupants. Semi-autonomous automobiles seamlessly integrate sophisticated technologies along with LiDAR, radar, and computer vision to automatically take care of tasks like steering, braking, and acceleration under specific circumstances, thereby reducing the probability of accidents stemming from human oversight. Furthermore, these cars are designed to proactively warn drivers of impending threats and encourage vigilant behavior through intuitive interfaces. Consequently, the progressively escalating demand for improved safety features in the automotive sector has fostered enormous boom potentialities for the semi-autonomous vehicles market.

Based on the automation level, the market is divided into level 1, level 2, and level 3. Among these, the level 3 segment is predicted to generate the highest revenue in the forecast period due to its advanced driver assistance features like lane departure warnings, adaptive cruise control, and collision detection. These features are designed and equipped to improve the overall safety of the occupants and other road users. Moreover, Lane Departure Warning systems help alert drivers if they unintentionally drift out of their lane, reducing the risk of collision caused by driver distraction or drowsiness. For instance, Driver fatigue or drowsiness contributed to an estimated 30,000 deaths worldwide in 2022.

Based on components, the market is segmented into cameras, LiDAR, radar, and others. The cameras segment is currently dominating the market in terms of revenue generation and is expected to dominate in the forecast period. This is due to the fact that cameras are able to provide high-resolution images and accurate object detection, making them an essential component of semi-autonomous vehicles. Moreover, semi-autonomous vehicles heavily rely on a bunch of sensors and cameras that process the data and make wise decisions about the environment around them. Additionally, with respect to time and economies of scale, the price of cameras decreases year-by-year making them affordable to semi-autonomous vehicles. Thus, the adoption becomes more widespread, further solidifying their position in the market.

Based on propulsion type, the market is bifurcated into ICE and electric. The electric segment is currently the leading and is expected to dominate the segment in the forecast period due to the changing government regulations to strict emission standards to reduce carbon footprint and promote sustainable transportation. Moreover, despite the fact that the initial cost of EVs is higher than ICE vehicles, they've lower operational costs due to low fuel prices and lower maintenance requirements. As battery technology continues to improve, the cost gain of EVs is likely to grow, further boosting their popularity. EVs typically have faster acceleration and better handling than ICE vehicles due to their instant torque. This makes them best for semi-autonomous applications wherein quick response times are essential.

Based on ADAS features, the market is divided into lane assist, crash warning system, adaptive cruise control, smart park, and others. The adaptive cruise control segment holds the most significant market share and is expected to show the same fashion in the forecast period. Adaptive cruise control is a feature that allows vehicles to keep a consistent speed and distance from the vehicle in advance, without requiring manual intervention. This feature uses radar, lidar, or cameras to detect the speed and distance of surrounding vehicles, and adjusts the speed of the host vehicle consequently. Adaptive cruise control has gained enormous popularity in recent years due to its capability to reduce traffic congestion and enhance protection on the roads. Moreover, implementing adaptive cruise control can reduce fuel consumption and lower insurance premiums, providing tangible economic benefits to users.

For a better understanding of the market adoption of the shipbuilding industry, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, Mexico, and the Rest of North America), Europe (Germany, U.K., France, Italy, Spain, Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Rest of Asia-Pacific), Rest of World. North American region has dominated the market in the historic year due to the early adoption and strong automotive industry. Moreover, the persistent government financial and regulatory support has geared up the growth of the semi-autonomous vehicle in the region. However, the Asia Pacific is projected to be the fastest-growing region in the forecast period due to a number of reasons, such as rapid urbanization as more and more people are migrating from rural to urban areas, the demand for personal mobility has increased, and efficient transportation solutions have increased exponentially in the Asia Pacific region. Semi-autonomous vehicles offer a viable solution to this problem, as they can ease traffic congestion and reduce travel time. Furthermore, governments in the Asia Pacific region are actively promoting the adoption of autonomous and semi-autonomous vehicles via policy reforms and funding initiatives. For instance, in August 2023, China released its first national draft guideline on the use of self-driving vehicles for public transportation. That month, authorities in Wuhan, Hubei province, and Yongchuan district, Chongqing, granted Baidu the first permits issued in China to charge fares for fully driverless ride-hailing services in designated areas.

Some of the major players operating in the market include: BMW AG, Audi AG, Daimler AG, Ford Motor Company, General Motors, Volkswagen, Mahindra & Mahindra Ltd., BYD Company Ltd., Tesla, Inc., and Hyundai Motor Company.

TABLE OF CONTENTS

1 MARKET INTRODUCTION IN SEMI-AUTONOMOUS VEHICLE

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2 RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Market
  • 2.2. Research Methodology of the Semi-Autonomous Vehicle Market
  • 2.3. Respondent Profile

3 MARKET SYNOPSIS

4 EXECUTIVE SUMMARY

5 GLOBAL AUTOMOTIVE SOLENOID COVID-19 IMPACT

6 GLOBAL AUTOMOTIVE SOLENOID REVENUE, 2020-2030F

7 MARKET INSIGHTS BY AUTOMATION LEVEL

  • 7.1. Level 1
  • 7.2. Level 2
  • 7.3. Level 3

8 MARKET INSIGHTS BY COMPONENT

  • 8.1. Camera
  • 8.2. LiDAR
  • 8.3. Radar
  • 8.4. Others (Ultrasonic sensor, Stereo Cameras, Others)

9 MARKET INSIGHTS BY PROPULSION TYPE

  • 9.1. ICE
  • 9.2. Electric

10 MARKET INSIGHTS BY ADAS FEATURES

Lane Assist

Crash Warning System

Adaptive Cruise Control

Smart Park

Others (Cross Traffic Alert, Automatic Emergency Braking, Others)

10 MARKET INSIGHTS BY REGION

  • 11.1 North America
    • 11.1.1 U.S.
    • 11.1.2 Canada
    • 11.1.3. Mexico
    • 11.1.4. Rest of North America
  • 11.2 Europe
    • 11.2.1. Germany
    • 11.2.2. UK
    • 11.2.3. France
    • 11.2.4. Italy
    • 11.2.5. Spain
    • 11.2.6. Rest of Europe
  • 11.3. Asia-Pacific
    • 10.3.1. China
    • 10.3.2. Japan
    • 10.3.3. India
    • 10.3.4. South Korea
    • 10.3.5. Rest of APAC
  • 11.4. Rest of the World

12 SEMI-AUTONOMOUS VEHICLE DYNAMICS

  • 12.1. Market Drivers
  • 12.2. Market Challenges
  • 12.3. Impact Analysis

13 SEMI-AUTONOMOUS VEHICLE OPPORTUNITIES

14 SEMI-AUTONOMOUS VEHICLE TRENDS

15 DEMAND AND SUPPLY-SIDE ANALYSIS

  • 15.1. Demand Side Analysis
  • 15.2. Supply Side Analysis

16 VALUE CHAIN ANALYSIS

17 PRICING ANALYSIS

18 STRATEGIC INSIGHTS

19 COMPETITIVE SCENARIO

  • 20.1. Competitive Landscape
    • 20.1.1. Porters Fiver Forces Analysis

20 COMPANY PROFILED

  • 20.1. BMW AG
  • 20.2. Audi AG
  • 20.3. Daimler AG
  • 20.4. Ford Motor Company
  • 20.5. General Motors
  • 20.6. Volkswagen
  • 20.7. Mahindra & Mahindra Ltd.
  • 20.8. BYD Company Ltd.
  • 20.9. Tesla, Inc.
  • 20.10. Hyundai Motor Company

21 DISCLAIMER