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1696214

全球自動駕駛最後一哩配送市場 - 2025 年至 2032 年

Global Autonomous Last Mile Delivery Market - 2025-2032

出版日期: 2025年03月25日 | 出版商:

DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球自動駕駛最後一哩配送市場規模達到 11.2 億美元，預計到 2032 年將達到 62.4 億美元，2025-2032 年複合年成長率為 24%。在人工智慧 (AI)、機器人技術和電動車 (EV) 技術進步的推動下，自動駕駛最後一哩配送市場正在快速成長。

自動駕駛最後一哩配送趨勢

電子商務和線上訂餐的激增大大增加了對高效能、非接觸式配送解決方案的需求。自主的最後一哩送貨機器人和車輛透過確保在最少的人為干預下實現無縫送貨來滿足這一需求。新冠疫情進一步強調了非接觸式交易的重要性，鼓勵企業和消費者採用自動化技術。

Starship Technologies、Kiwibot 和 Amazon Prime Air 等公司正在擴大其機隊，以滿足不斷成長的配送需求。隨著城市化進程的加速，自動配送解決方案有望在解決物流挑戰、降低成本和提高效率方面發揮關鍵作用。

市場動態

司機 - 非接觸式配送需求不斷成長

電子商務和線上訂餐的激增大大增加了對高效能、非接觸式配送解決方案的需求。自主的最後一哩送貨機器人和車輛透過確保在最少的人為干預下實現無縫送貨來滿足這一需求。

新冠疫情進一步強調了非接觸式交易的重要性，鼓勵企業和消費者採用自動化技術。

限制－高額初始投資和監理挑戰

開發自動送貨機器人和車輛需要大量資金用於研究、人工智慧開發和安全合規。

此外，不同地區的監管框架有所不同，減緩了大規模部署的速度。

市場區隔分析

全球自主最後一哩交付市場根據平台、解決方案、交付範圍、最終用戶和地區進行細分。

網路食品訂單不斷增加，非接觸式配送的偏好也日益成長。

Starship Technologies、Kiwibot 等公司以及貝勒大學與 Starship 的合作凸顯了自動送貨機器人在食品配送服務中的應用日益廣泛。

自動送餐機器人比傳統送餐方式更快、更有效率、更具成本效益。這些機器人使用人工智慧導航系統進行操作，使它們能夠以最少的人為干預來運送食物和飲料。餐廳、大學和雜貨店正在利用這項技術來提高顧客的便利性。例如，Starship Technologies 與貝勒大學的合作使學生和教職員工能夠在幾分鐘內從校園內的各個餐廳收到餐食，展示了在受控環境中自動送貨的效率。

此外，大型食品零售商和自主配送公司之間的合作正在塑造該產業的未來。 Starship Technologies 與英國 Co-op 和韋克菲爾德市議會達成的協議為數千戶家庭帶來了自動雜貨配送服務。自主機器人與行動訂購應用程式的無縫整合進一步提高了可訪問性，使客戶能夠即時追蹤送貨情況。

市場地理佔有率

北美不斷發展的電子商務行業和自主解決方案的支援基礎設施。

亞馬遜、Waymo、Starship Technologies 等領先公司已在該地區擴大業務，利用人工智慧和機器人技術提高最後一英里的交付效率。亞馬遜的 Prime Air 無人機送貨服務於 2022 年在美國推出，預計 2024 年擴展到更多城市，鞏固北美在自動送貨創新方面的領導地位。

無人機送貨的日益普及表明該地區願意採用尖端的物流解決方案。此外，Starship Technologies 等公司已與貝勒大學等大學建立了合作夥伴關係，在校園內部署自動送餐機器人，凸顯了自動化技術的日益普及。

此外，北美擁有良好的自動駕駛汽車測試和部署監管環境。美國許多州已經制定了支援自動送貨機器人安全運作的指導方針，讓公司擴大其服務規模。科技巨頭和市議會之間的合作，例如 Waymo 與 Uber 的合作，進一步表明了該地區對推動自動駕駛解決方案的決心。

技術路線圖

受網路基礎設施進步、物聯網擴展以及物流領域人工智慧（AI）日益普及的推動，全球自主最後一哩交付市場預計將在未來幾年發生重大變化。政府措施、監管框架和私部門投資將加速多個產業在網路安全領域的人工智慧應用。

全球主要參與者

市場的主要全球參與者包括空中巴士、亞馬遜、DHL國際有限公司、DPD集團、Drone Delivery Canada、Flirtey、Flytrex、京東、MATTERNET和Savioke。

按平台

地面配送車輛配送機器人

自動駕駛貨車和卡車

空中送貨無人機固定翼

旋翼機

雜交種

按解決方案

硬體

軟體

服務

按配送範圍

短距離（<20 公里）

長距離（>20 公里）

按最終用戶

食品和飲料

零售

衛生保健

其他

按地區

北美洲

我們

加拿大

墨西哥

歐洲

德國

英國

法國

義大利

西班牙

歐洲其他地區

南美洲

巴西

阿根廷

南美洲其他地區

亞太

中國

印度

日本

澳洲

亞太其他地區

中東和非洲

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專注於新興市場：DataM 的與眾不同之處在於它提供專門針對新興市場的深入、專業見解，而不是提供一般的地理概覽。這種方法使我們的客戶獲得了細緻的理解和可操作的資訊，這對於在高成長地區導航和成功至關重要。

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2024 年目標受眾

製造商/買家

產業投資者/投資銀行家

研究專業人員

新興公司

Global Autonomous Last Mile Delivery Market reached US$1.12 billion in 2024 and is expected to reach US$6.24 billion by 2032, growing at a CAGR of 24% from 2025-2032. The autonomous last-mile delivery market is experiencing rapid growth, driven by advancements in artificial intelligence (AI), robotics, and electric vehicle (EV) technology.

Autonomous Last Mile Delivery Trends

The surge in e-commerce and online food ordering has significantly increased the need for efficient and contactless delivery solutions. Autonomous last-mile delivery robots and vehicles address this demand by ensuring seamless deliveries with minimal human intervention. The COVID-19 pandemic further emphasized the importance of contactless transactions, encouraging businesses and consumers to adopt autonomous technologies.

Companies such as Starship Technologies, Kiwibot, and Amazon Prime Air are expanding their fleets to cater to rising delivery needs. As urbanization accelerates, autonomous delivery solutions are expected to play a pivotal role in addressing logistical challenges while reducing costs and improving efficiency.

Market Dynamics

Driver - Increasing Demand for Contactless Deliveries

The COVID-19 pandemic further emphasized the importance of contactless transactions, encouraging businesses and consumers to adopt autonomous technologies.

Restraint - High Initial Investment and Regulatory Challenges

Developing autonomous delivery robots and vehicles requires substantial funding for research, AI development, and safety compliance.

Additionally, regulatory frameworks vary across regions, slowing down large-scale deployment.

Market Segment Analysis

The global autonomous last mile delivery market is segmented based on platform, solution, delivery range, end-user, and region.

Rising online food orders and the growing preference for contactless delivery.

Companies such as Starship Technologies, Kiwibot, and Baylor University's partnership with Starship highlight the increasing adoption of autonomous delivery robots in food delivery services.

Autonomous food delivery robots offer a faster, more efficient, and cost-effective alternative to traditional delivery methods. These robots operate using AI-driven navigation systems, enabling them to deliver food and beverages with minimal human intervention. Restaurants, universities, and grocery stores are leveraging this technology to enhance customer convenience. For instance, Starship Technologies' collaboration with Baylor University allows students and faculty to receive meals from various eateries on campus in just minutes, demonstrating the efficiency of autonomous deliveries in controlled environments.

Moreover, partnerships between major food retailers and autonomous delivery companies are shaping the industry's future. Starship Technologies' agreements with Co-op and Wakefield Council in the UK have brought autonomous grocery delivery services to thousands of households. The seamless integration of autonomous robots with mobile ordering apps has further improved accessibility, allowing customers to track deliveries in real-time.

Market Geographical Share

Growing E-Commerce Industry, and Supportive Infrastructure for Autonomous Solutions in North America.

Leading companies such as Amazon, Waymo, and Starship Technologies have expanded their operations in the region, leveraging AI and robotics to enhance last-mile delivery efficiency. Amazon's Prime Air drone delivery service, which debuted in the U.S. in 2022, is set to expand to additional cities in 2024, reinforcing North America's leadership in autonomous delivery innovations.

The increasing adoption of drone deliveries demonstrates the region's willingness to embrace cutting-edge logistics solutions. Additionally, companies like Starship Technologies have established partnerships with universities, such as Baylor University, to deploy autonomous food delivery robots on campuses, highlighting the growing acceptance of autonomous technology.

Furthermore, North America has a favorable regulatory environment for autonomous vehicle testing and deployment. Many states in the U.S. have established guidelines that support the safe operation of autonomous delivery robots, allowing companies to scale their services. Collaborations between tech giants and city councils, such as Waymo's partnership with Uber, further indicate the region's commitment to advancing autonomous mobility solutions.

Technology Roadmap

The global autonomous last mile delivery market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) at the logistics. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Major Global Players

The major Global players in the market include Airbus S.A.S, Amazon, DHL International GmbH, DPD Group, Drone Delivery Canada, Flirtey, Flytrex, JD.com, MATTERNET, and Savioke.

By Platform

Ground Delivery VehiclesDelivery Bots

Self-driving Vans & Trucks

Aerial Delivery DronesFixed-Wing

Rotary-Wing

Hybrid

By Solution

Hardware

Software

Services

By Delivery Range

Short Range (<20 Kilometers)

Long Range (>20 Kilometers)

By End-User

Food & Beverages

Retail

Healthcare

Others

By Region

North America

Canada

Mexico

Europe

Germany

France

Italy

Spain

Rest of Europe

South America

Brazil

Argentina

Rest of South America

Asia-Pacific

China

India

Japan

Australia

Rest of Asia-Pacific

Middle East and Africa

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Value of DataM Reports: Our reports offer specialized insights tailored to the latest trends and specific business inquiries. This personalized approach provides a deeper, strategic perspective, ensuring you receive the precise information necessary to make informed decisions. These insights complement and go beyond what is typically available in generic databases.

Target Audience 2024

Manufacturers/ Buyers

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Platform
3.2. Snippet by Solution
3.3. Snippet by Delivery Range
3.4. Snippet by End-User
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Increasing Demand for Contactless Deliveries
- 4.1.2. Restraints
  - 4.1.2.1. High Initial Investment and Regulatory Challenges
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Value Chain Analysis
5.4. Pricing Analysis
5.5. Regulatory and Compliance Analysis
5.6. AI & Automation Impact Analysis
5.7. R&D and Innovation Analysis
5.8. Sustainability & Green Technology Analysis
5.9. Cybersecurity Analysis
5.10. Next Generation Technology Analysis
5.11. Technology Roadmap
5.12. DMI Opinion

6. By Platform

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 6.1.2. Market Attractiveness Index, By Platform
6.2. Ground Delivery Vehicles*
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  - 6.2.2.1. Delivery Bots
  - 6.2.2.2. Self-driving Vans & Trucks
6.3. Aerial Delivery Drones

7. By Solution

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 7.1.2. Market Attractiveness Index, By Solution
7.2. Hardware*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Software
7.4. Services

8. By Delivery Range

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 8.1.2. Market Attractiveness Index, By Delivery Range
8.2. Short Range (<20 Kilometers) *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Long Range (>20 Kilometers)

9. By End-User

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.1.2. Market Attractiveness Index, By End-User
9.2. Food & Beverages*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Retail
9.4. Healthcare
9.5. Others

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.7.1. US
  - 10.2.7.2. Canada
  - 10.2.7.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.7.1. Germany
  - 10.3.7.2. UK
  - 10.3.7.3. France
  - 10.3.7.4. Italy
  - 10.3.7.5. Spain
  - 10.3.7.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.7.1. Brazil
  - 10.4.7.2. Argentina
  - 10.4.7.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.7.1. China
  - 10.5.7.2. India
  - 10.5.7.3. Japan
  - 10.5.7.4. Australia
  - 10.5.7.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Platform
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Solution
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Delivery Range
- 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. Airbus S.A.S*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Amazon
12.3. DHL International GmbH
12.4. DPD Group
12.5. Drone Delivery Canada
12.6. Flirtey
12.7. Flytrex
12.8. JD.com
12.9. MATTERNET
12.10. Savioke

LIST NOT EXHAUSTIVE