半自動駕駛汽車市場:現況分析與預測(2023-2030)
市場調查報告書
商品編碼
1346756

半自動駕駛汽車市場:現況分析與預測(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個工作天內

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簡介目錄

由於車輛安全功能的需求不斷增加,半自動駕駛汽車市場預計將穩定成長在39.94%左右。對乘客保護和安全的需求迅速增長已成為推動半自動駕駛汽車發展的關鍵因素。隨著交通安全挑戰不斷加劇,分心、瞌睡和魯莽騎乘事件不斷增加,客戶正在尋求能夠緩解這些風險的尖端解決方案。例如,2022年6月,世界衛生組織(WHO)宣布,2022年全球將有約135萬人死於交通事故。其中約 94%(125 萬人)是由於人為錯誤造成的,包括超速、酒精、分心駕駛、魯莽駕駛和乘客不繫安全帶。半自動駕駛汽車無縫整合雷射雷達、雷達、電腦視覺等先進技術,在一定條件下自動執行轉向、煞車、加速等任務,消除了人為疏忽,降低了因車輛原因造成事故的機率。此外,這些車輛的設計目的是主動提醒駕駛即將發生的威脅,並透過直覺的介面鼓勵採取警報行動。因此,汽車產業對改進安全功能的需求逐漸增加,為半自動駕駛汽車市場創造了巨大的成長潛力。

根據自動化水平,市場分為1級、2級和3級。其中,由於車道偏離警告、自適應巡航控制和碰撞偵測等先進的駕駛員輔助功能,預計 3 級細分市場將在預測期內產生最高的收入。這些功能的設計和配備是為了提高乘員和其他道路使用者的整體安全性。此外,車道偏離警告系統會在駕駛無意偏離車道時發出警告,有助於降低因駕駛分心或嗜睡而發生碰撞的風險。例如,預計到 2022 年,疲勞和困倦等誘發因素將導致全球 30,000 人死亡。

根據組件,市場分為攝影機、光達、雷達等。相機領域目前在收入方面佔據市場主導地位,預計在預測期內也將繼續佔據主導地位。這是因為攝影機可以提供高解析度影像和準確的物體偵測,使其成為半自動駕駛車輛的重要組成部分。此外,半自動駕駛車輛嚴重依賴大量感測器和攝影機來處理數據並針對周圍環境做出明智的決策。此外,隨著時間的推移和規模經濟的發展,攝影機的價格多年來一直在下降,使得半自動駕駛汽車可以負擔得起。這將提高其知名度並進一步鞏固其在市場中的地位。

根據推進類型,市場分為內燃機和電動。電動細分市場目前處於市場領先地位,並且隨著政府法規轉向更嚴格的排放標準以減少碳排放並促進永續交通,預計在預測期內將繼續佔據主導地位。此外,儘管電動車的初始成本高於內燃機汽車,但由於燃油價格較低和維護要求較低,因此營運成本較低。隨著電池技術的不斷改進,電動車的成本將繼續上升,並變得更加流行。由於其瞬時扭矩,電動車通常比內燃機汽車加速更快、操控性更好。這使其成為需要快速反應的半自動駕駛應用的理想選擇。

根據 ADAS 功能,市場分為車道輔助、碰撞警告系統、自適應巡航控制、智慧停車等。自適應巡航控制領域佔據最大的市場份額,預計在預測期內也將呈現類似的趨勢。自適應巡航控制是一項允許車輛主動保持一定速度和跟隨距離而無需人工幹預的功能。此功能使用雷達、光達或攝影機來偵測周圍車輛的速度和距離,並相應地調整主車輛的速度。自適應巡航控制近年來受到廣泛歡迎,因為它可以緩解交通擁堵並增強道路交通保護。此外,自適應巡航控制系統的實施透過減少油耗和降低保險費為使用者帶來切實的經濟利益。

為了更了解造船業的市場實施情況,將市場分為北美(美國、加拿大、墨西哥和北美其他地區)、歐洲(德國、英國、法國、義大利、西班牙和歐洲其他地區) 、亞太地區(中國、日本、印度、韓國、亞太地區其他地區)以及世界其他地區。由於早期採用和蓬勃發展的汽車工業,北美地區在歷史性的一年中主導了市場。此外,政府的財政和監管支持正在加速該地區半自動駕駛汽車的成長。然而,亞太地區正在經歷快速城市化,許多人從農村地區遷移到城市地區,個人出行需求不斷增加,以及亞洲對高效交通解決方案的需求,預計將成為亞太地區增長最快的地區預測期內,部分原因是太平洋地區的急劇增加。半自動駕駛汽車為這個問題提供了一個可行的解決方案,因為它們可以緩解交通擁堵並減少旅行時間。此外,亞太地區各國政府正透過政策改革和財政支持積極推動自動駕駛和半自動駕駛汽車的採用。例如,2023年8月,中國發布了第一份國家公共交通使用自動駕駛汽車指南草案。同月,湖北省武漢市和重慶市永川區相關部門批准國內首家百度在指定區域進行無人駕駛叫車服務收費。

目錄

第一章 半自動駕駛汽車市場簡介

  • 市場定義
  • 主要目標
  • 利益相關者
  • 限制

第二章 研究方法或假設

  • 調查過程
  • 調查方法
  • 受訪者簡介

第三章市場總結

第 4 章執行摘要

第五章 COVID-19感染對全球汽車電磁閥的影響

第六章 2020-2030年全球汽車電磁閥收入

第 7 章:按自動化層級劃分的市場洞察

  • 1級
  • 2級
  • 3級

第 8 章按組件劃分的市場洞察

  • 相機
  • 騎士
  • 雷達
  • 其他(超音波感測器、立體相機等)

第 9 章 依推進類型劃分的市場洞察

  • 電氣

第 10 章 ADAS 功能的市場洞察

車道輔助

碰撞預警系統

自適應巡航控制

智慧園區

其他(十字路口警告、自動緊急煞車等)

第10章按地區劃分的市場洞察

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
    • 北美其他地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 意大利
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 亞太地區其他國家
  • 世界其他地區

第十二章半自動駕駛車輛動力學

  • 市場驅動力
  • 市場挑戰
  • 影響分析

第13章:半自動駕駛汽車的機會

第14章半自動駕駛汽車的趨勢

第十五章需求側與供給面分析

  • 需求面分析
  • 供給側分析

第十六章價值鏈分析

第17章價格分析

第十八章戰略洞察

第19章 競爭場景

  • 競爭格局
    • 波特五力分析

第二十章 公司簡介

  • 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 免責聲明

簡介目錄
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