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市場調查報告書
商品編碼
1528959

自動送貨車輛市場規模 - 按車輛（自動地面車輛、自動飛行車輛）、按應用（電子商務、食品配送、醫療保健、零售、郵政服務、其他）、按自主程度和預測，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個工作天內

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簡介目錄

由於著名的送貨和車輛公司之間的策略合作夥伴關係，全球自動送貨車輛市場在 2024 年至 2032 年間的複合年成長率將超過 25%。這些合作旨在透過將自主技術整合到送貨車隊中來徹底改變最後一英里的物流。例如，2024 年 4 月，Uber 宣布正在擴大與鳳凰城自動駕駛汽車公司 Waymo 的合作。該公司宣布已開始使用 Waymo 車輛在亞利桑那州首府提供 Uber Eats 優食外送服務。

亞馬遜、UPS 和聯邦快遞等公司正在與自動駕駛汽車製造商合作，以提高交付效率、降低成本並解決勞動力短缺問題。這些合作夥伴關係推動了車輛自主、導航系統和安全協議的創新，確保可靠且安全的交付操作。隨著城市化進程的加速和電子商務的發展，對高效、永續的交付解決方案的需求不斷升級。自動送貨車輛具有可擴展性和靈活性，可滿足不同的客戶需求，同時推動環保運輸解決方案的發展。隨著不斷的進步和行業聯盟，自動送貨車輛市場有望實現顯著成長，重塑全球物流的未來。

自動送貨車輛行業的總體規模根據車輛、應用、自動駕駛水平和地區進行分類。

自動送貨車輛市場的需求不斷成長，尤其是自動飛行器 (AAV) 的需求。 AAV，包括無人機和無人機系統，為城市和偏遠地區提供高效的交付解決方案。它們能夠繞過地面障礙物和交通堵塞，確保快速可靠地交付貨物。 Amazon Prime Air 和 UPS Flight Forward 等公司正在開創 AAV 技術，以提高物流效率和客戶滿意度。隨著法規的發展和技術的進步，AAV 有望徹底改變快遞行業，提供可擴展且環保的解決方案，滿足消費者對快速便捷的包裹遞送服務日益成長的期望。

自動送貨車輛市場對全自動解決方案的需求不斷成長。這些車輛無需人工干預即可運行，在城市環境中有效地運送包裹和貨物。 Star Ship Technologies 和 Nuro 等公司在自動地面車輛方面處於領先地位，旨在最佳化最後一英里的物流。隨著人工智慧和感測器技術的進步，全自動送貨車輛有望提高可靠性、降低營運成本並增強可擴展性。隨著消費者對更快、更方便的送貨選擇的期望不斷提高，全自動送貨車輛的市場不斷擴大，重塑全球物流和城市交通的未來。

在歐洲，由於城市物流和永續發展目標的進步，對自動送貨車輛的需求不斷成長。自動駕駛汽車提供高效的最後一哩交付解決方案，減少城市擁塞和排放。 Star Ship Technologies 和 DHL 等公司正在試行自主送貨服務，以提高營運效率和客戶體驗。憑藉支持性的監管框架和技術投資，歐洲在採用自主配送解決方案、應對城市交通挑戰和增強物流能力方面處於領先地位。對這些創新車輛的需求凸顯了歐洲對智慧、永續交通解決方案的承諾，這些解決方案可提高城市中心的效率並減少對環境的影響。

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
    • 送貨服務提供者
    • 技術提供者
    • 整車製造商
    • 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
    • 夥伴關係/協作
    • 併購
    • 投資
    • 產品發布和創新
  • 監管環境
  • 衝擊力
    • 成長動力
      • 全球電子商務成長
      • 自動送貨車提供高成本效益
      • 發展中地區城市化進程不斷加速
      • 科技不斷進步
  • 產業陷阱與挑戰
      • 監管挑戰
      • 基礎設施限制
  • 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：按車輛分類，2021-2032 年

  • 主要趨勢
  • 自主地面車輛 (AGV)
    • 送貨機器人
    • 貨車
    • 卡車
  • 自主飛行器 (AAV)

第 6 章：市場估計與預測：依自治程度分類，2021-2032 年

  • 主要趨勢
  • 半自主
  • 完全自主

第 7 章：市場估計與預測：按應用分類，2021-2032 年

  • 主要趨勢
  • 電子商務
  • 送餐
  • 衛生保健
  • 零售
  • 郵政服務
  • 其他

第 8 章：市場估計與預測：按地區，2021-2032 年

  • 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
    • 俄羅斯
    • 北歐人
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 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
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • 南非
    • MEA 的其餘部分

第 9 章：公司簡介

  • 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
簡介目錄
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