封面
市场调查报告书
商品编码
1473799

自动驾驶汽车市场规模- 依自主等级(1、2、3、4、5)、按车辆(乘用车、商用)、按燃料(内燃机、电动、混合动力)、按应用(个人、公共) 、商品、工业)与全球预测,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个工作天内

价格
简介目录

在技​​术进步(特别是人工智慧、感测器系统和连接性)的推动下,自动驾驶汽车市场规模预计从 2024 年到 2032 年复合年增长率将超过 13.5%。例如,2023 年 6 月,班加罗尔的人工智慧新创公司 Minus Zero 发布了印度首款自动驾驶汽车 zPod。这种全电动原型依赖相机感测器套件,能够应对各种环境和地理挑战。此类技术创新提高了车辆的安全性、效率和便利性,从而提高了消费者的兴趣和采用率。此外,人们对道路安全的日益关注以及对永续交通解决方案的需求正在推动对自动驾驶汽车的需求。

最近,消费者的偏好已经转向行动即服务 (MaaS) 和共享行动模式。叫车服务的兴起和自动驾驶车队的概念为经济高效、便捷的交通解决方案提供了潜力,特别是在城市地区。此外,自动驾驶汽车在改善老年人和残疾人的无障碍环境以及减少拥挤和停车挑战方面的潜力正在激发消费者和政策制定者对自动驾驶汽车的兴趣。

整个产业根据自主程度、车辆、燃料、应用和地区进行划分。

从车辆来看,商业领域的自动驾驶汽车产业预计在2024 年和2032 年将出现显着的复合年增长率。节省成本的潜力。自动驾驶车辆有助于优化路线规划、最大限度地减少停机时间并降低与人类驾驶员相关的劳动力成本。此外,在农业和采矿业,自动驾驶车辆可以实现精确、自主的操作,从而提高生产力并降低操作风险。

在应用方面,受独特需求和应用的青睐,工业领域的自动驾驶汽车市场在预测期内将显着成长。製造、仓储和建筑业越来越多地采用自动驾驶汽车来简化营运、增强安全性并提高生产力。自动驾驶车辆还可以在工业环境中实现高效的物料搬运、库存管理和物流,从而降低成本并改善工作流程最佳化。

由于严格的安全法规和对减少道路事故的高度重视,欧洲自动驾驶汽车产业将在 2024 年至 2032 年期间呈现令人印象深刻的成长。强劲的汽车产业加上对研发活动的大量投资正在促进创新并加速自动驾驶汽车技术的发展。此外,不断发展的城市化和对永续交通解决方案的需求将推动区域对自动驾驶汽车的需求,特别是在人口稠密的城市。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 原物料供应商
    • 元件供应商
    • 製造商
    • 技术提供者
    • 经销商
    • 最终用户
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 自动驾驶汽车产业的技术进步
      • 日益关注车辆的安全性和效率
      • 新法规、新政策出台
      • 政府对基础建设发展的投资不断增加
    • 产业陷阱与挑战
      • 开发成本高
      • 安全和安保问题
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:依自治程度划分,2018-2032 年

  • 主要趋势
  • 1级
  • 2级
  • 3级
  • 4级
  • 5级

第 6 章:市场估计与预测:按车辆划分,2018-2032 年

  • 主要趋势
  • 乘客
    • 轿车
    • SUV
    • 掀背车
  • 商业的
    • 卡车
    • 公车
    • 货车

第 7 章:市场估计与预测:依燃料分类,2018-2032 年

  • 主要趋势
  • 电的
  • 杂交种

第 8 章:市场估计与预测:依应用分类,2018-2032

  • 主要趋势
  • 个人的
  • 民众
  • 商品
  • 工业的
  • 其他的

第 9 章:市场估计与预测:按地区,2018-2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 俄罗斯
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地区
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • MEA 的其余部分

第 10 章:公司简介

  • 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
简介目录
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