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市场调查报告书
商品编码
1528959

自动送货车辆市场规模 - 按车辆（自动地面车辆、自动飞行车辆）、按应用（电子商务、食品配送、医疗保健、零售、邮政服务、其他）、按自主程度和预测，2024 - 2032 年

Autonomous Delivery Vehicles Market Size - By Vehicle (Autonomous Ground Vehicles, Autonomous Aerial Vehicles), By Application (E-commerce, Food Delivery, Healthcare, Retail, Postal Services, Others), By Level of Autonomy & Forecast, 2024 - 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

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简介目录

由于着名的送货和车辆公司之间的策略合作伙伴关係，全球自动送货车辆市场在 2024 年至 2032 年间的复合年增长率将超过 25%。这些合作旨在透过将自主技术整合到送货车队中来彻底改变最后一英里的物流。例如，2024 年 4 月，Uber 宣布正在扩大与凤凰城自动驾驶汽车公司 Waymo 的合作。该公司宣布已开始使用 Waymo 车辆在亚利桑那州首府提供 Uber Eats 优食外送服务。

亚马逊、UPS 和联邦快递等公司正在与自动驾驶汽车製造商合作，以提高交付效率、降低成本并解决劳动力短缺问题。这些合作伙伴关係推动了车辆自主、导航系统和安全协议的创新，确保可靠且安全的交付操作。随着城市化进程的加速和电子商务的发展，对高效、可持续的交付解决方案的需求不断升级。自动送货车辆具有可扩展性和灵活性，可满足不同的客户需求，同时推动环保运输解决方案的发展。随着不断的进步和行业联盟，自动送货车辆市场有望实现显着成长，重塑全球物流的未来。

自动送货车辆行业的总体规模根据车辆、应用、自动驾驶水平和地区进行分类。

自动送货车辆市场的需求不断增长，尤其是自动飞行器 (AAV) 的需求。 AAV，包括无人机和无人机系统，为城市和偏远地区提供高效的交付解决方案。它们能够绕过地面障碍物和交通拥堵，确保快速可靠地交付货物。 Amazon Prime Air 和 UPS Flight Forward 等公司正在开创 AAV 技术，以提高物流效率和客户满意度。随着法规的发展和技术的进步，AAV 有望彻底改变快递行业，提供可扩展且环保的解决方案，满足消费者对快速便捷的包裹递送服务日益增长的期望。

自动送货车辆市场对全自动解决方案的需求不断增长。这些车辆无需人工干预即可运行，在城市环境中有效地运送包裹和货物。 Star Ship Technologies 和 Nuro 等公司在自动地面车辆方面处于领先地位，旨在优化最后一英里的物流。随着人工智慧和感测器技术的进步，全自动送货车辆有望提高可靠性、降低营运成本并增强可扩展性。随着消费者对更快、更方便的送货选择的期望不断提高，全自动送货车辆的市场不断扩大，重塑全球物流和城市交通的未来。

在欧洲，由于城市物流和永续发展目标的进步，对自动送货车辆的需求不断增长。自动驾驶汽车提供高效的最后一哩交付解决方案，减少城市拥塞和排放。 Star Ship Technologies 和 DHL 等公司正在试行自主送货服务，以提高营运效率和客户体验。凭藉支持性的监管框架和技术投资，欧洲在采用自主配送解决方案、应对城市交通挑战和增强物流能力方面处于领先地位。对这些创新车辆的需求凸显了欧洲对智慧、永续交通解决方案的承诺，这些解决方案可提高城市中心的效率并减少对环境的影响。

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
    • 送货服务提供者
    • 技术提供者
    • 整车製造商
    • 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
    • 伙伴关係/协作
    • 併购
    • 投资
    • 产品发布和创新
  • 监管环境
  • 衝击力
    • 成长动力
      • 全球电子商务成长
      • 自动送货车提供高成本效益
      • 发展中地区城市化进程不断加速
      • 科技不断进步
  • 产业陷阱与挑战
      • 监管挑战
      • 基础设施限制
  • 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：按车辆划分，2021-2032 年

  • 主要趋势
  • 自主地面车辆 (AGV)
    • 送货机器人
    • 货车
    • 卡车
  • 自主飞行器 (AAV)

第 6 章：市场估计与预测：依自治程度划分，2021-2032 年

  • 主要趋势
  • 半自主
  • 完全自主

第 7 章：市场估计与预测：按应用划分，2021-2032 年

  • 主要趋势
  • 电子商务
  • 送餐
  • 卫生保健
  • 零售
  • 邮政服务
  • 其他的

第 8 章：市场估计与预测：按地区，2021-2032 年

  • 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
    • 俄罗斯
    • 北欧人
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 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
    • 阿联酋
    • 沙乌地阿拉伯
    • 南非
    • MEA 的其余部分

第 9 章：公司简介

  • Amazon.com, Inc.
  • Argo AI LLC
  • Baidu, Inc.
  • Boxbot, Inc.
  • Cruise LLC
  • Einride AB
  • Gatik AI Inc.
  • JD.com, Inc.
  • Kiwibot S.A.S.
  • Marble Robot, Inc.
  • Nuro, Inc.
  • Oxbotica Ltd.
  • Postmates Inc. (Uber Technologies, Inc.)
  • Refraction AI Inc.
  • Robomart Inc.
  • Starship Technologies Inc.
  • Tesla, Inc.
  • Udelv Inc.
  • Waymo LLC (Alphabet Inc.)
  • Yandex NV
简介目录
Product Code: 9409

Global Autonomous Delivery Vehicles Market will witness over 25% CAGR between 2024 and 2032 due to strategic partnerships between prominent delivery and vehicle companies. These collaborations aim to revolutionize last-mile logistics by integrating autonomous technologies into delivery fleets. For instance, in April 2024, Uber announced that it is expanding its collaboration with autonomous vehicle company Waymo in Phoenix. The company announced that it has begun offering Uber Eats deliveries in Arizona's capital using Waymo vehicles.

Companies like Amazon, UPS, and FedEx are partnering with autonomous vehicle manufacturers to enhance delivery efficiency, reduce costs, and address labor shortages. These partnerships drive innovation in vehicle autonomy, navigation systems, and safety protocols, ensuring reliable and secure delivery operations. As urbanization intensifies and e-commerce grows, the need for efficient, sustainable delivery solutions escalates. Autonomous delivery vehicles offer scalability and flexibility, catering to diverse customer needs while advancing towards environmentally friendly transport solutions. With ongoing advancements and industry alliances, the Autonomous Delivery Vehicles market is poised for significant growth, reshaping the future of logistics worldwide.

The overall Autonomous Delivery Vehicles Industry size is classified based on the vehicle, application, level of autonomy, and region.

The Autonomous Delivery Vehicles market is witnessing increasing demand, particularly from autonomous aerial vehicles (AAVs). AAVs, including drones and unmanned aerial systems to offer efficient delivery solutions for urban and remote areas. Their ability to bypass ground obstacles and traffic congestion ensures swift and reliable delivery of goods. Companies like Amazon Prime Air and UPS Flight Forward are pioneering AAV technologies to enhance logistics efficiency and customer satisfaction. As regulations evolve and technology advances, AAVs are poised to revolutionize the delivery industry, providing scalable and environmentally friendly solutions that meet growing consumer expectations for fast and convenient parcel delivery services.

The Autonomous Delivery Vehicles market is experiencing growing demand for fully autonomous solutions. These vehicles operate without human intervention, navigating urban environments to deliver packages and goods efficiently. Companies like Star Ship Technologies and Nuro are leading the charge with autonomous ground vehicles designed to optimize last-mile logistics. With advancements in artificial intelligence and sensor technology, fully autonomous delivery vehicles promise increased reliability, reduced operational costs, and enhanced scalability. As consumer expectations for faster and more convenient delivery options rise, the market for fully autonomous delivery vehicles continues to expand, reshaping the future of logistics and urban mobility worldwide.

In Europe, there is a rising demand for Autonomous Delivery Vehicles driven by advancements in urban logistics and sustainability goals. Autonomous vehicles offer efficient last-mile delivery solutions, reducing congestion and emissions in cities. Companies like Star Ship Technologies and DHL are piloting autonomous delivery services, enhancing operational efficiency and customer experience. With supportive regulatory frameworks and investments in technology, Europe leads in adopting autonomous delivery solutions, addressing challenges in urban mobility, and enhancing logistics capabilities. The demand for these innovative vehicles underscores Europe's commitment to smart, sustainable transportation solutions that improve efficiency and reduce environmental impact in urban centers.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021-2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Delivery service providers
    • 3.2.2 Technology providers
    • 3.2.3 Vehicle manufacturers
    • 3.2.4 End users
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news & initiatives
    • 3.6.1 Partnership/Collaboration
    • 3.6.2 Merger/Acquisition
    • 3.6.3 Investment
    • 3.6.4 Product launch and innovation
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 E-commerce growth across the globe
      • 3.8.1.2 High cost-effectiveness offered by autonomous delivery vehicles
      • 3.8.1.3 Growing urbanization in developing regions
      • 3.8.1.4 Growing technological advancements
  • 3.9 Industry pitfalls & challenges
      • 3.9.1.1 Regulatory challenges
      • 3.9.1.2 Infrastructure limitations
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
  • 3.12 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 Vehicle, 2021-2032 ($Bn, Units)

  • 5.1 Key trends
  • 5.2 Autonomous Ground Vehicles (AGVs)
    • 5.2.1 Delivery robots
    • 5.2.2 Vans
    • 5.2.3 Trucks
  • 5.3 Autonomous Aerial Vehicles (AAVs)

Chapter 6 Market Estimate & Forecast, By Level of Autonomy, 2021-2032 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Semi-autonomous
  • 6.3 Fully autonomous

Chapter 7 Market Estimates & Forecast, By Application, 2021-2032 ($Bn, Units)

  • 7.1 Key trends
  • 7.2 E-commerce
  • 7.3 Food delivery
  • 7.4 Healthcare
  • 7.5 Retail
  • 7.6 Postal services
  • 7.7 Others

Chapter 8 Market Estimates & Forecast, By Region, 2021-2032 ($Bn, Units)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
  • 8.3 Europe
    • 8.3.1 UK
    • 8.3.2 Germany
    • 8.3.3 France
    • 8.3.4 Italy
    • 8.3.5 Spain
    • 8.3.6 Russia
    • 8.3.7 Nordics
    • 8.3.8 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 India
    • 8.4.3 Japan
    • 8.4.4 South Korea
    • 8.4.5 ANZ
    • 8.4.6 Southeast Asia
    • 8.4.7 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Mexico
    • 8.5.3 Argentina
    • 8.5.4 Rest of Latin America
  • 8.6 MEA
    • 8.6.1 UAE
    • 8.6.2 Saudi Arabia
    • 8.6.3 South Africa
    • 8.6.4 Rest of MEA

Chapter 9 Company Profiles

  • 9.1 Amazon.com, Inc.
  • 9.2 Argo AI LLC
  • 9.3 Baidu, Inc.
  • 9.4 Boxbot, Inc.
  • 9.5 Cruise LLC
  • 9.6 Einride AB
  • 9.7 Gatik AI Inc.
  • 9.8 JD.com, Inc.
  • 9.9 Kiwibot S.A.S.
  • 9.10 Marble Robot, Inc.
  • 9.11 Nuro, Inc.
  • 9.12 Oxbotica Ltd.
  • 9.13 Postmates Inc. (Uber Technologies, Inc.)
  • 9.14 Refraction AI Inc.
  • 9.15 Robomart Inc.
  • 9.16 Starship Technologies Inc.
  • 9.17 Tesla, Inc.
  • 9.18 Udelv Inc.
  • 9.19 Waymo LLC (Alphabet Inc.)
  • 9.20 Yandex NV