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市場調查報告書
商品編碼
1473799

自動駕駛汽車市場規模- 依自主等級(1、2、3、4、5)、按車輛(乘用車、商用)、按燃料(內燃機、電動、混合動力)、按應用(個人、公共) 、商品、工業)與全球預測,2024 - 2032

Autonomous Vehicle Market Size - By Level of Autonomy (Level 1, Level 2, Level 3, Level 4, Level 5), By Vehicle (Passenger, Commercial), By Fuel (ICE, Electric, Hybrid), By Application (Personal, Public, Goods, Industrial) & Global Forecast, 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 260 Pages | 商品交期: 2-3個工作天內

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簡介目錄

在技​​術進步(特別是人工智慧、感測器系統和連接性)的推動下,自動駕駛汽車市場規模預計從 2024 年到 2032 年複合年成長率將超過 13.5%。例如,2023 年 6 月,班加羅爾的人工智慧新創公司 Minus Zero 發布了印度首款自動駕駛汽車 zPod。這種全電動原型依賴相機感測器套件,能夠應對各種環境和地理挑戰。此類技術創新提高了車輛的安全性、效率和便利性,從而提高了消費者的興趣和採用率。此外,人們對道路安全的日益關注以及對永續交通解決方案的需求正在推動對自動駕駛汽車的需求。

最近,消費者的偏好已經轉向行動即服務 (MaaS) 和共享行動模式。叫車服務的興起和自動駕駛車隊的概念為經濟高效、便捷的交通解決方案提供了潛力,特別是在城市地區。此外,自動駕駛汽車在改善老年人和殘疾人的無障礙環境以及減少擁擠和停車挑戰方面的潛力正在激發消費者和政策制定者對自動駕駛汽車的興趣。

整個產業根據自主程度、車輛、燃料、應用和地區進行分類。

從車輛來看,商業領域的自動駕駛汽車產業預計在2024 年和2032 年將出現顯著的複合年成長率。節省成本的潛力。自動駕駛車輛有助於最佳化路線規劃、最大限度地減少停機時間並降低與人類駕駛員相關的勞動力成本。此外,在農業和採礦業,自動駕駛車輛可以實現精確、自主的操作,從而提高生產力並降低操作風險。

在應用方面,受獨特需求和應用的青睞,工業領域的自動駕駛汽車市場在預測期內將顯著成長。製造、倉儲和建築業擴大採用自動駕駛汽車來簡化營運、增強安全性並提高生產力。自動駕駛車輛還可以在工業環境中實現高效的物料搬運、庫存管理和物流,從而降低成本並改善工作流程最佳化。

由於嚴格的安全法規和對減少道路事故的高度重視,歐洲自動駕駛汽車產業將在 2024 年至 2032 年期間呈現令人印象深刻的成長。強勁的汽車產業加上對研發活動的大量投資正在促進創新並加速自動駕駛汽車技術的發展。此外,不斷發展的城市化和對永續交通解決方案的需求將推動區域對自動駕駛汽車的需求,特別是在人口稠密的城市。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商格局
    • 原物料供應商
    • 元件供應商
    • 製造商
    • 技術提供者
    • 經銷商
    • 最終用戶
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 自動駕駛汽車產業的技術進步
      • 日益關注車輛的安全性和效率
      • 新法規、新政策訂定
      • 政府對基礎建設發展的投資不斷增加
    • 產業陷阱與挑戰
      • 開發成本高
      • 安全和安保問題
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:依自治程度分類,2018-2032 年

  • 主要趨勢
  • 1級
  • 2級
  • 3級
  • 4級
  • 5級

第 6 章:市場估計與預測:按車輛分類,2018-2032 年

  • 主要趨勢
  • 乘客
    • 轎車
    • SUV
    • 掀背車
  • 商業的
    • 卡車
    • 公車
    • 貨車

第 7 章:市場估計與預測:依燃料分類,2018-2032 年

  • 主要趨勢
  • 電的
  • 混合

第 8 章:市場估計與預測:依應用分類,2018-2032

  • 主要趨勢
  • 個人的
  • 民眾
  • 商品
  • 工業的
  • 其他

第 9 章:市場估計與預測:按地區,2018-2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 俄羅斯
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 東南亞
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地區
  • MEA
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • MEA 的其餘部分

第 10 章:公司簡介

  • AB Volvo
  • Argo AI
  • Aurora Innovation Inc.
  • Baidu Inc.
  • BMW AG
  • Embark Trucks Inc.
  • Fiat Chrysler Automobiles
  • Ford Motor Company
  • General Motors Company
  • Honda Motor Company
  • Hyundai Motor Corporation
  • Jaguar Land Rover
  • Mercedes-Benz Group
  • Nissan Motor Co. Ltd.
  • Renault SA
  • Rivian Automotive, Inc.
  • Tesla Inc.
  • Toyota Motor Corporation
  • Volkswagen Group
  • Waymo LLC
簡介目錄
Product Code: 8218

Autonomous vehicle market size is projected to witness more than 13.5% CAGR from 2024 to 2032, driven by technological advancements, particularly in AI, sensor systems, and connectivity. For example, in June 2023, Bengaluru's Minus Zero, an AI startup, revealed India's inaugural autonomous vehicle, zPod. This fully electric prototype, reliant on a camera-sensor suite, navigates various environmental and geographical challenges. Such technological innovations are leading to enhanced vehicle safety, efficiency, and convenience, thereby boosting consumer interest and adoption. Additionally, the growing concerns about road safety and the need for sustainable transportation solutions are fueling the demand for autonomous vehicles.

Lately, there has been shifting consumer preference towards mobility-as-a-service (MaaS) and shared mobility models. The rise of ride-hailing services and the concept of self-driving fleets are offering the potential for cost-effective, convenient transportation solutions, particularly in urban areas. Moreover, the potential for autonomous vehicles to improve accessibility for elderly and disabled individuals, as well as reduce congestion and parking challenges is driving the interest for autonomous vehicles from both consumers and policymakers.

The overall industry is divided on the basis of level of autonomy, vehicle, fuel, application and region.

By vehicle, the autonomous vehicle industry from the commercial segment is anticipated to observe a significant CAGR during 2024 and 2032. In industries, such as logistics, delivery services, and transportation, the integration of autonomous vehicles offers the potential for increased efficiency and cost savings. Autonomous vehicles help optimize route planning, minimize downtime, and reduce labor costs associated with human drivers. Furthermore, in agriculture and mining, autonomous vehicles enable precise and autonomous operations, leading to higher productivity and reduced operational risks.

In terms of application, the autonomous vehicle market from the industrial segment is set to witness notable growth in the forecast period, favored by unique demands and applications. The manufacturing, warehousing, and construction sectors are increasingly embracing autonomous vehicles to streamline operations, enhance safety, and boost productivity. Autonomous vehicles also offer the potential for efficient material handling, inventory management, and logistics within industrial settings for reduced costs and improved workflow optimization.

Europe autonomous vehicle industry will showcase impressive growth over 2024-2032, attributed to stringent safety regulations and a strong focus on reducing road accidents. The robust automotive industry, coupled with significant investments in R&D activities are fostering innovations and accelerating the development of autonomous vehicle technology. Moreover, increasing urbanization and the need for sustainable transportation solutions will drive the regional demand for autonomous vehicles, particularly in densely populated cities.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market scope & definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculations
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360 degree synopsis, 2018-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier Landscape
    • 3.2.1 Raw material providers
    • 3.2.2 Component providers
    • 3.2.3 Manufacturers
    • 3.2.4 Technology providers
    • 3.2.5 Distributors
    • 3.2.6 End-user
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Technological advancements in the autonomous vehicle industry
      • 3.8.1.2 Increasing focus towards safety and efficiency of vehicle
      • 3.8.1.3 Introduction of new regulation and policies
      • 3.8.1.4 Growing government investment in infrastructure development
    • 3.8.2 Industry pitfalls & challenges
      • 3.8.2.1 High development costs
      • 3.8.2.2 Safety and security concerns
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Level of Autonomy, 2018-2032 ($Bn, Units)

  • 5.1 Key trends
  • 5.2 Level 1
  • 5.3 Level 2
  • 5.4 Level 3
  • 5.5 Level 4
  • 5.6 Level 5

Chapter 6 Market Estimates & Forecast, By Vehicle, 2018-2032 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Passenger
    • 6.2.1 Sedan
    • 6.2.2 SUV
    • 6.2.3 Hatchback
  • 6.3 Commercial
    • 6.3.1 Truck
    • 6.3.2 Bus
    • 6.3.3 Van

Chapter 7 Market Estimates & Forecast, By Fuel, 2018-2032 ($Bn, Units)

  • 7.1 Key trends
  • 7.2 ICE
  • 7.3 Electric
  • 7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By Application, 2018-2032 ($Bn, Units)

  • 8.1 Key trends
  • 8.2 Personal
  • 8.3 Public
  • 8.4 Goods
  • 8.5 Industrial
  • 8.6 Others

Chapter 9 Market Estimates & Forecast, By Region, 2018-2032 ($Bn, Units)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Netherlands
    • 9.3.7 Russia
    • 9.3.8 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 Australia
    • 9.4.6 Southeast Asia
    • 9.4.7 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
    • 9.5.4 Rest of Latin America
  • 9.6 MEA
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE
    • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

  • 10.1 AB Volvo
  • 10.2 Argo AI
  • 10.3 Aurora Innovation Inc.
  • 10.4 Baidu Inc.
  • 10.5 BMW AG
  • 10.6 Embark Trucks Inc.
  • 10.7 Fiat Chrysler Automobiles
  • 10.8 Ford Motor Company
  • 10.9 General Motors Company
  • 10.10 Honda Motor Company
  • 10.11 Hyundai Motor Corporation
  • 10.12 Jaguar Land Rover
  • 10.13 Mercedes-Benz Group
  • 10.14 Nissan Motor Co. Ltd.
  • 10.15 Renault SA
  • 10.16 Rivian Automotive, Inc.
  • 10.17 Tesla Inc.
  • 10.18 Toyota Motor Corporation
  • 10.19 Volkswagen Group
  • 10.20 Waymo LLC