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市場調查報告書
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2068684

全球末端配送自動化市場預測(至2034年):按組件、技術、配送方式、應用、最終用戶和地區分類的分析

Last-Mile Delivery Automation Market Forecasts to 2034 - Global Analysis By Component, Technology, Delivery Mode, Application, End User, and Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據,預計到 2026 年,全球最後一公里配送自動化市場規模將達到 82 億美元,並在預測期內以 20.7% 的複合年成長率成長,到 2034 年將達到 370 億美元。

末端配送自動化是指利用自動駕駛技術和數位化系統,簡化產品從物流中心到最終客戶的最後配送環節。這些解決方案包括配送機器人、自動駕駛車輛、無人機、人工智慧路線最佳化軟體和智慧宅配櫃。終端配送自動化系統能夠提高配送速度、降低運輸成本、提升營運效率,同時滿足日益成長的電子商務需求。它們還有助於克服城市物流面臨的挑戰,例如交通堵塞和人手不足。快速、無接觸配送服務的需求不斷成長,正在加速全球末端配送自動化技術的應用。

電子商務配送的快速成長

在都市區市場,消費者對當日達和即時送達服務的需求日益成長。這推動了自動化配送系統的應用,以提高營運速度。物流公司正投資機器人和自主系統,以應對不斷成長的訂單量。線上生鮮和零售平台的蓬勃發展進一步刺激了需求。都市化進程的加速也給配送網路帶來了更大的壓力。這些因素共同支撐著市場成長。

城市基礎設施不足

城市基礎設施不足仍然是末端配送自動化系統面臨的主要阻礙因素。許多城市缺乏專用車道、對接區和數位化連接等自動駕駛配送營運所需的設施。狹窄的道路和交通堵塞進一步限制了系統的效率。城市規劃中的監管缺陷也延緩了系統的部署。與現有物流網路的整合也可能十分複雜。缺乏完善的智慧城市基礎設施阻礙了系統的大規模部署。

無人機配送技術的擴展

無人機能夠實現都市區和郊區更快捷、無接觸的貨物配送,進而推動無人機配送技術的普及。物流公司正擴大採用自主飛行系統、基於人工智慧的導航平台和即時追蹤解決方案,以提高配送效率並減少全球現代供應鏈網路中的營運延誤。監管機構對無人機試飛營運的支持力道不斷加大,進一步加速了無人機技術的普及。無人機技術的持續創新也不斷擴大其應用範圍。這些發展預計將進一步促進市場成長。

對公共安全和責任的擔憂

事故、系統故障和行人安全問題可能會限制大規模部署。監管機構可能會制定嚴格的操作指南。許多地區的保險和責任架構仍不完善。大眾對自動配送技術的接受度仍在發展中。與安全相關的事故可能會對市場認知產生負面影響。這些因素對市場構成重大威脅。

新型冠狀病毒(COVID-19)的影響:

新冠疫情加速了電子商務和食品配送領域對非接觸式配送解決方案的需求。旅行限制增加了對自動化和遠端配送系統的依賴。物流公司迅速採用機器人和自動駕駛技術,以防止營運中斷。供應鏈中斷凸顯了高效能末端配送模式的必要性。即使在疫情結束後,物流業對自動化的需求依然強勁。對智慧配送基礎設施的投資顯著增加。整體而言,疫情對市場成長產生了正面影響。

在預測期內,預計送貨機器人細分市場將佔據最大的市場佔有率。

預計在預測期內,配送機器人將佔據最大的市場佔有率,因為它是適用於短距離城市物流運營的地面自主配送解決方案。其能夠在人行道和可控環境下運行,這為其廣泛應用提供了強大支撐。對非接觸式配送服務日益成長的需求進一步鞏固了該領域的領先地位。與零售和食品配送平台的整合提升了便利性。與無人機相比,其成本效益更高,這正在推動大規模部署。

在預測期內,食品配送服務供應商細分市場預計將呈現最高的複合年成長率。

在預測期內,食品配送服務供應商領域預計將呈現最高的成長率,這主要得益於全球餐廳和雲端廚房配送生態系統中自動化技術的日益整合。推動這一成長的因素包括:企業不斷部署自主配送機器人、基於人工智慧的調度系統和即時物流最佳化平台,以提高都市區食品配送網路的配送速度和客戶體驗。此外,消費者對快速商務服務日益成長的需求也進一步加速了這一趨勢。

市佔率最大的地區:

在預測期內,由於美國和加拿大積極採用自動化技術,北美預計將佔據最大的市場佔有率。該地區擁有成熟的配送生態系統,為機器人和自主系統提供了支援。對智慧物流的持續投資正在進一步推動市場擴張。主要技術供應商的存在為創新提供了支撐。消費者對快速配送服務的強勁需求正在推動科技的應用。

複合年成長率最高的地區:

在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於中國、印度、日本、韓國和東南亞等國家對數位化物流解決方案的日益普及。物流公司正大力投資自動化技術。對快速且價格合理的配送服務的需求不斷成長,也推動了該地區的成長。政府推行的智慧城市發展措施進一步加速了數位化物流解決方案的普及。不斷擴展的線上零售生態系統也增強了市場滲透率。

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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章:研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章:競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章:全球最後一公里配送自動化市場:依組件分類

  • 配送機器人
  • 自動送貨車
  • 路線最佳化軟體
  • 配送管理平台
  • 其他規則

第6章:全球最後一公里配送自動化市場:依技術分類

  • 人工智慧技術
  • 自主導航技術
  • 物聯網(IoT)技術
  • 電腦視覺技術
  • 其他技術

第7章:全球最後一公里配送自動化市場:依配送模式分類

  • 自動化土地交付系統
  • 空氣輸送自動化系統
  • 人行道配送自動化系統
  • 儲物櫃式配送自動化系統
  • 其他配送方式

第8章:全球最後一公里配送自動化市場:依應用領域分類

  • 電子商務配送應用程式
  • 食品配送使用
  • 醫療配送應用
  • 零售分銷用途
  • 其他用途

第9章:全球最後一公里配送自動化市場:依最終用戶分類

  • 電子商務公司
  • 物流服務供應商
  • 零售連鎖店
  • 食品配送服務提供者
  • 其他最終用戶

第10章:全球最後一公里配送自動化市場:按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區(RoW)
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章:公司簡介

  • Amazon.com Inc.
  • Alphabet Inc.
  • FedEx Corporation
  • United Parcel Service Inc.
  • Starship Technologies Inc.
  • Nuro Inc.
  • Relay Robotics Inc.
  • Ottonomy.IO
  • Matternet Inc.
  • DJI Technology Co. Ltd.
  • Zipline International Inc.
  • TeleRetail GmbH
  • Kiwibot Inc.
  • Serve Robotics Inc.
  • Cartken Inc.
Product Code: SMRC37037

According to Stratistics MRC, the Global Last-Mile Delivery Automation Market is accounted for $8.2 billion in 2026 and is expected to reach $37.0 billion by 2034 growing at a CAGR of 20.7% during the forecast period. Last-mile delivery automation involves the use of autonomous technologies and digital systems to streamline the final stage of product delivery from distribution centers to end customers. These solutions include delivery robots, autonomous vehicles, drones, AI-based route optimization software, and smart parcel lockers. Automated last-mile systems improve delivery speed, reduce transportation costs, and enhance operational efficiency while addressing rising e-commerce demand. They also help overcome urban logistics challenges such as traffic congestion and labor shortages. Increasing focus on fast and contactless delivery services is accelerating adoption of last-mile automation technologies worldwide.

Market Dynamics:

Driver:

Rapid e-commerce delivery growth

Consumers are increasingly expecting same-day and instant delivery services across urban markets. This is encouraging adoption of automated delivery systems to improve operational speed. Logistics companies are investing in robotics and autonomous systems to handle rising order volumes. Growth of online grocery and retail platforms is further strengthening demand. Increasing urbanization is adding pressure on delivery networks. These factors collectively support market growth.

Restraint:

Limited urban infrastructure readiness

Inadequate urban infrastructure remains a key restraint for last-mile delivery automation systems. Many cities lack dedicated lanes, docking zones, and digital connectivity required for autonomous delivery operations. Narrow roads and traffic congestion further limit system efficiency. Regulatory gaps in urban planning also slow deployment. Integration with existing logistics networks can be complex. Limited readiness of smart city infrastructure restricts large-scale adoption.

Opportunity:

Drone delivery technology expansion

Drones enable faster and contactless delivery of goods across urban and semi-urban regions. This is driving drone delivery technology expansion as logistics companies increasingly deploy autonomous aerial systems, AI-based navigation platforms, and real-time tracking solutions to enhance delivery efficiency and reduce operational delays across modern supply chain networks globally. Growing regulatory support for drone trials is further accelerating adoption. Continuous innovation in UAV technologies is expanding application scope. These developments are expected to strengthen market growth.

Threat:

Public safety liability concerns

Concerns regarding accidents, system malfunctions, and pedestrian safety may restrict large-scale adoption. Regulatory authorities may impose strict operational guidelines. Insurance and liability frameworks remain underdeveloped in many regions. Public acceptance of autonomous delivery technologies is still evolving. Safety-related incidents could negatively impact market perception. These factors act as a key market threat.

Covid-19 Impact:

The COVID-19 pandemic accelerated demand for contactless delivery solutions across e-commerce and food delivery sectors. Restrictions on movement increased reliance on automated and remote delivery systems. Logistics companies rapidly adopted robotics and autonomous technologies to ensure uninterrupted operations. Supply chain disruptions highlighted the need for efficient last-mile delivery models. Post-pandemic, demand for automation in logistics remained strong. Investment in smart delivery infrastructure increased significantly. Overall, the pandemic positively influenced market growth.

The delivery robots segment is expected to be the largest during the forecast period

The delivery robots segment is expected to account for the largest market share during the forecast period as ground-based autonomous delivery solutions suitable for short-distance urban logistics operations. Their ability to navigate sidewalks and controlled environments supports widespread adoption. Increasing demand for contactless delivery services further strengthens segment dominance. Integration with retail and food delivery platforms enhances usability. Cost-effective operation compared to drones supports large-scale deployment.

The food delivery service providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the food delivery service providers segment is predicted to witness the highest growth rate due to increasing integration of automation technologies into restaurant and cloud kitchen delivery ecosystems globally. This is driving food delivery service providers segment growth as companies increasingly deploy autonomous delivery robots, AI-based dispatch systems, and real-time logistics optimization platforms to enhance delivery speed and customer experience across urban food distribution networks. Rising demand for quick commerce services is further accelerating adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to strong adoption of automation technologies across the United States and Canada. The region has a mature delivery ecosystem supporting robotics and autonomous systems. Continuous investment in smart logistics further strengthens market expansion. Presence of leading technology providers supports innovation. Strong consumer demand for fast delivery services drives adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by increasing adoption of digital logistics solutions across countries such as China, India, Japan, South Korea, and Southeast Asia. Logistics companies are investing heavily in automation technologies. Rising demand for fast and affordable delivery services supports growth. Government initiatives promoting smart city development further accelerate adoption. Expanding online retail ecosystems strengthen market penetration.

Key players in the market

Some of the key players in Last-Mile Delivery Automation Market include Amazon.com Inc., Alphabet Inc., FedEx Corporation, United Parcel Service Inc., Starship Technologies Inc., Nuro Inc., Relay Robotics Inc., Ottonomy.IO, Matternet Inc., DJI Technology Co. Ltd., Zipline International Inc., TeleRetail GmbH, Kiwibot Inc., Serve Robotics Inc. and Cartken Inc.

Key Developments:

In May 2026, Alphabet Inc.'s drone delivery division, Wing, announced a massive strategic expansion of its national network to include 270 Walmart store locations across major hubs like Los Angeles and Miami. This logistics rollout follows the successful completion of over 750,000 small-package deliveries and integrates a unique "robot-to-drone" handoff system with Serve Robotics to automate the final leg of suburban deliveries for meals and household essentials.

In January 2026, Nuro, Inc. officially unveiled a global robotaxi partnership with Lucid and Uber at CES, showcasing its "Nuro Driver" universal autonomy platform integrated into customized Lucid electric vehicles. This corporate pivot transitions the company from a pure-play delivery hardware manufacturer into a licensing-driven autonomy provider, leveraging its $203 million Series E financing to pilot autonomous on-road ride-hailing services across major U.S. markets.

Components Covered:

  • Delivery Robots
  • Autonomous Delivery Vehicles
  • Route Optimization Software
  • Delivery Management Platforms
  • Other Components

Technologies Covered:

  • Artificial Intelligence Technology
  • Autonomous Navigation Technology
  • Internet of Things Technology
  • Computer Vision Technology
  • Other Technologies

Delivery Modes Covered:

  • Ground Delivery Automation Systems
  • Aerial Delivery Automation Systems
  • Sidewalk Delivery Automation Systems
  • Locker-Based Delivery Automation Systems
  • Other Delivery Modes

Applications Covered:

  • E-Commerce Delivery Applications
  • Food Delivery Applications
  • Healthcare Delivery Applications
  • Retail Distribution Applications
  • Other Applications

End Users Covered:

  • E-Commerce Companies
  • Logistics Service Providers
  • Retail Chains
  • Food Delivery Service Providers
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Last-Mile Delivery Automation Market, By Component

  • 5.1 Delivery Robots
  • 5.2 Autonomous Delivery Vehicles
  • 5.3 Route Optimization Software
  • 5.4 Delivery Management Platforms
  • 5.5 Other Components

6 Global Last-Mile Delivery Automation Market, By Technology

  • 6.1 Artificial Intelligence Technology
  • 6.2 Autonomous Navigation Technology
  • 6.3 Internet of Things Technology
  • 6.4 Computer Vision Technology
  • 6.5 Other Technologies

7 Global Last-Mile Delivery Automation Market, By Delivery Mode

  • 7.1 Ground Delivery Automation Systems
  • 7.2 Aerial Delivery Automation Systems
  • 7.3 Sidewalk Delivery Automation Systems
  • 7.4 Locker-Based Delivery Automation Systems
  • 7.5 Other Delivery Modes

8 Global Last-Mile Delivery Automation Market, By Application

  • 8.1 E-Commerce Delivery Applications
  • 8.2 Food Delivery Applications
  • 8.3 Healthcare Delivery Applications
  • 8.4 Retail Distribution Applications
  • 8.5 Other Applications

9 Global Last-Mile Delivery Automation Market, By End User

  • 9.1 E-Commerce Companies
  • 9.2 Logistics Service Providers
  • 9.3 Retail Chains
  • 9.4 Food Delivery Service Providers
  • 9.5 Other End Users

10 Global Last-Mile Delivery Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Amazon.com Inc.
  • 13.2 Alphabet Inc.
  • 13.3 FedEx Corporation
  • 13.4 United Parcel Service Inc.
  • 13.5 Starship Technologies Inc.
  • 13.6 Nuro Inc.
  • 13.7 Relay Robotics Inc.
  • 13.8 Ottonomy.IO
  • 13.9 Matternet Inc.
  • 13.10 DJI Technology Co. Ltd.
  • 13.11 Zipline International Inc.
  • 13.12 TeleRetail GmbH
  • 13.13 Kiwibot Inc.
  • 13.14 Serve Robotics Inc.
  • 13.15 Cartken Inc.

List of Tables

  • Table 1 Global Last-Mile Delivery Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Last-Mile Delivery Automation Market, By Component (2023-2034) ($MN)
  • Table 3 Global Last-Mile Delivery Automation Market, By Delivery Robots (2023-2034) ($MN)
  • Table 4 Global Last-Mile Delivery Automation Market, By Autonomous Delivery Vehicles (2023-2034) ($MN)
  • Table 5 Global Last-Mile Delivery Automation Market, By Route Optimization Software (2023-2034) ($MN)
  • Table 6 Global Last-Mile Delivery Automation Market, By Delivery Management Platforms (2023-2034) ($MN)
  • Table 7 Global Last-Mile Delivery Automation Market, By Other Components (2023-2034) ($MN)
  • Table 8 Global Last-Mile Delivery Automation Market, By Technology (2023-2034) ($MN)
  • Table 9 Global Last-Mile Delivery Automation Market, By Artificial Intelligence Technology (2023-2034) ($MN)
  • Table 10 Global Last-Mile Delivery Automation Market, By Autonomous Navigation Technology (2023-2034) ($MN)
  • Table 11 Global Last-Mile Delivery Automation Market, By Internet of Things Technology (2023-2034) ($MN)
  • Table 12 Global Last-Mile Delivery Automation Market, By Computer Vision Technology (2023-2034) ($MN)
  • Table 13 Global Last-Mile Delivery Automation Market, By Other Technologies (2023-2034) ($MN)
  • Table 14 Global Last-Mile Delivery Automation Market, By Delivery Mode (2023-2034) ($MN)
  • Table 15 Global Last-Mile Delivery Automation Market, By Ground Delivery Automation Systems (2023-2034) ($MN)
  • Table 16 Global Last-Mile Delivery Automation Market, By Aerial Delivery Automation Systems (2023-2034) ($MN)
  • Table 17 Global Last-Mile Delivery Automation Market, By Sidewalk Delivery Automation Systems (2023-2034) ($MN)
  • Table 18 Global Last-Mile Delivery Automation Market, By Locker-Based Delivery Automation Systems (2023-2034) ($MN)
  • Table 19 Global Last-Mile Delivery Automation Market, By Other Delivery Modes (2023-2034) ($MN)
  • Table 20 Global Last-Mile Delivery Automation Market, By Application (2023-2034) ($MN)
  • Table 21 Global Last-Mile Delivery Automation Market, By E-Commerce Delivery Applications (2023-2034) ($MN)
  • Table 22 Global Last-Mile Delivery Automation Market, By Food Delivery Applications (2023-2034) ($MN)
  • Table 23 Global Last-Mile Delivery Automation Market, By Healthcare Delivery Applications (2023-2034) ($MN)
  • Table 24 Global Last-Mile Delivery Automation Market, By Retail Distribution Applications (2023-2034) ($MN)
  • Table 25 Global Last-Mile Delivery Automation Market, By Other Applications (2023-2034) ($MN)
  • Table 26 Global Last-Mile Delivery Automation Market, By End User (2023-2034) ($MN)
  • Table 27 Global Last-Mile Delivery Automation Market, By E-Commerce Companies (2023-2034) ($MN)
  • Table 28 Global Last-Mile Delivery Automation Market, By Logistics Service Providers (2023-2034) ($MN)
  • Table 29 Global Last-Mile Delivery Automation Market, By Retail Chains (2023-2034) ($MN)
  • Table 30 Global Last-Mile Delivery Automation Market, By Food Delivery Service Providers (2023-2034) ($MN)
  • Table 31 Global Last-Mile Delivery Automation Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.