查看購物車
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1904631

2032年全球自動駕駛城市最後一公里配送市場預測：按車輛類型、經營模式、企業規模、技術、最終用戶和地區分類的分析

Autonomous Urban Last-Mile Delivery Market Forecasts to 2032 - Global Analysis By Vehicle Type, Business Model, Organization Size, Technology, End User and By 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 的研究，預計到 2025 年，全球自主城市最後一公里配送市場規模將達到 362 億美元，到 2032 年將達到 1,457 億美元，預測期內複合年成長率為 22%。

城市末端自主配送是指在城市環境中，利用自動駕駛車輛、機器人或無人機，在無需人工直接控制的情況下，將貨物從本地配送中心運送至最終客戶。這些系統利用人工智慧、感測器、GPS 和即時連接，在複雜的城市基礎設施中穿梭，管理交通狀況，並確保安全配送。城市末端自主配送旨在提高速度、效率和成本效益，支援電子商務、食品和零售物流，同時減少交通堵塞、勞動力依賴和碳排放。它在建立可擴展、按需和永續的城市物流網路中發揮關鍵作用。

電子商務需求的成長加速了配送自動化進程。

隨著電子商務需求的不斷成長，都市區的「最後一公里」自動駕駛配送平台正在迅速擴張，加速了配送自動化進程。消費者越來越期望食品雜貨、服飾、醫療產品等商品能在數小時內送達。這一趨勢的驅動力來自都市生活方式、數位科技的普及以及以便利性為導向的經濟模式。零售商和物流業者正在投資自動駕駛車輛，以提高「最後一公里」配送效率。人工智慧導航和機器人技術的整合進一步提升了營運規模。電子商務需求的不斷成長正在推動市場發展。

複雜的監管障礙減緩了採用速度。

複雜的監管障礙仍然是自動駕駛末端配送平台發展的主要限制因素。各國政府對安全、交通管理和責任架構都制定了嚴格的合規要求。由於地區政策差異，企業在拓展業務方面面臨許多挑戰。小規模業者比大型企業更難適應不斷變化的法規。高成本的認證和合規審核成本也加劇了這些挑戰。儘管市場需求強勁，但複雜的監管障礙阻礙了自動駕駛都市區末端配送的廣泛應用。

擴展智慧城市物流網路

智慧城市正在整合物聯網、人工智慧和互聯基礎設施，以支援無縫物流。自動駕駛車輛受益於即時交通管理、預測分析和最佳化的通道配置。企業正在將自動配送融入智慧城市生態系統，以提高可擴展性和永續性。與地方政府的合作正在加速城市物流領域的創新。智慧城市物流網路的擴展為市場創造了巨大的成長機會。

自主系統中的網路安全風險

聯網車隊會產生敏感的營運數據，這些數據極易遭受資料外洩和網路攻擊。企業面臨合規審核和安全投資成本不斷上漲的困境。與大型企業相比，小規模供應商更難建立健全的網路安全框架。日益嚴格的資料保護法規也進一步增加了營運的複雜性。網路安全風險正在削弱人們對都市區末端自動駕駛配送市場的信任，威脅著該市場的持續成長。

新冠疫情的感染疾病

新冠疫情加速了對都市區末端自動駕駛配送的需求，因為消費者轉向了非接觸式物流。一方面，供應鏈中斷和基礎設施計劃延誤減緩了其普及速度；另一方面，電子商務、醫​​療用品和日用品需求的激增推動了其普及。在封鎖期間，自動駕駛車隊成為確保服務連續性的關鍵。這場危機凸顯了建構一個具有韌性、非接觸式、自動化配送生態系統的重要性。總而言之，新冠疫情提高了人們對城市末端自動駕駛配送作為城市物流戰略驅動力的認知。

預計在預測期內，自主地面車輛細分市場將佔據最大的市場佔有率。

預計在預測期內，自動駕駛地面車輛細分市場將佔據最大的市場佔有率，這主要得益於人口密集都市區對可擴展、安全高效的配送系統的需求。地面車輛能夠靈活地在城市道路上行駛，並可與現有的物流網路無縫整合。企業正在利用自動駕駛地面車隊來提升客戶參與並縮短配送時間。都市區消費者對便利性的需求推動了對可擴展地面解決方案的需求。而與人工智慧導航技術的整合則進一步促進了該技術的普及應用。

預計在預測期內，醫療保健服務提供者和藥局板塊的複合年成長率將最高。

由於對藥品、診斷試劑盒和基本醫療用品的即時獲取需求不斷成長，預計醫療服務提供者和藥房領域在預測期內將實現最高成長率。醫療服務提供者正擴大利用自主配送平台來改善患者療效和依從性。關鍵物資的即時配送提高了醫療生態系統的營運效率。對數位醫療領域投資的增加正在推動該領域的需求，而與人工智慧驅動的物流的整合則進一步促進了其應用。隨著醫療服務提供者和藥局加速數位轉型，自主末端配送正在推動市場成長。

比最大的地區

由於北美地區擁有先進的物流基礎設施、健全的法規結構以及對自動駕駛配送平台的早期投資，預計該地區將在預測期內佔據最大的市場佔有率。主要技術供應商的存在和成熟的電子商務生態系統正在推動自動駕駛技術的大規模應用。監管創新和對永續性的關注正在推動自動駕駛汽車的普及。北美企業正優先考慮透過自動駕駛模式實現即時配送和客戶參與。對醫療保健零售物流的高需求進一步促進了自動駕駛技術的普及。

複合年均成長率最高的地區

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於新興經濟體快速的都市化、不斷擴大的行動用戶群體以及政府主導的智慧城市計畫。中國、印度和東南亞等國家正大力投資自動駕駛配送系統，以支持電子商務的成長。人口密集城市對即時配送的需求不斷成長，推動了人工智慧驅動車輛的普及。當地企業正在採用可擴展的平台來滿足日益成長的數位化需求。不斷擴展的數位生態系統正在強化自動駕駛配送在企業現代化進程中的作用。

免費客製化服務

購買此報告的客戶可享有以下免費自訂選項之一：

  • 公司概況
    • 最多三家新增市場參與企業進行全面分析
    • 主要參與企業（最多3家公司）的SWOT分析
  • 區域細分
    • 根據客戶要求，對主要國家進行市場估算和預測，並計算複合年成長率（註：可行性需確認）。
  • 競爭標竿分析
    • 從產品系列、地域覆蓋範圍和策略聯盟等方面對主要參與企業進行基準分析

目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 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
  • 競爭對手之間的競爭

5. 全球自動駕駛城市最後一公里配送市場（依車輛類型分類）

  • 自主地面車輛
  • 送貨無人機
  • 人行道/路邊送貨機器人
  • 混合和多模態自主系統
  • 其他

6. 全球自主城市最後一公里配送市場（依經營模式分類）

  • 直接面對消費者（D2C）
  • 平台聚合器
  • 交付即服務 (DaaS)
  • 訂閱與會員資格
  • 其他經營模式

7. 全球自主城市最後一公里配送市場（依企業規模分類）

  • 中小企業
  • 主要企業

8. 全球自主城市最後一公里配送市場（依技術分類）

  • 物聯網 (IoT) 和即時追蹤
  • 自主導航與地圖建構（SLAM，高精度地圖）
  • 基於雲端的車隊和營運管理
  • 網路安全與安全交易技術
  • 其他

9. 全球自主城市最後一公里配送市場（依最終用戶分類）

  • 電子商務與市場
  • 醫療保健提供者和藥房
  • 餐飲服務業
  • 物流和最後一公里服務供應商
  • 政府和地方政府機構
  • 其他

第10章 全球城市最後一公里自主配送市場（依地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • Amazon.com, Inc.
  • Alphabet Inc.
  • United Parcel Service, Inc.
  • FedEx Corporation
  • DHL International GmbH
  • JD.com, Inc.
  • Meituan Dianping
  • Nuro, Inc.
  • Starship Technologies, Inc.
  • Zipline International, Inc.
  • Wingcopter GmbH
  • Workhorse Group, Inc.
  • Eliport Robotics, SL
  • Cleveron AS
  • Segway Robotics
Product Code: SMRC33016

According to Stratistics MRC, the Global Autonomous Urban Last-Mile Delivery Market is accounted for $36.2 billion in 2025 and is expected to reach $145.7 billion by 2032 growing at a CAGR of 22% during the forecast period. Autonomous urban last-mile delivery refers to the use of self-operating vehicles, robots, or drones to transport goods from local distribution points to end customers within city environments without direct human control. These systems leverage artificial intelligence, sensors, GPS, and real-time connectivity to navigate complex urban infrastructure, manage traffic conditions, and ensure safe delivery. Designed to improve speed, efficiency, and cost-effectiveness, autonomous last-mile delivery supports e-commerce, food, and retail logistics while reducing congestion, labor dependency, and carbon emissions. It plays a critical role in enabling scalable, on-demand, and sustainable urban logistics networks.

Market Dynamics:

Driver:

Rising e-commerce demand accelerates delivery automation

Autonomous urban last-mile delivery platforms are expanding rapidly with rising e-commerce demand accelerating delivery automation. Consumers increasingly expect groceries, apparel, and healthcare products to be delivered within hours. This trend is driven by urban lifestyles, digital adoption, and the convenience economy. Retailers and logistics providers are investing in autonomous fleets to strengthen last-mile efficiency. Integration with AI-driven navigation and robotics further enhances operational scalability. Rising e-commerce demand is propelling growth in the market.

Restraint:

Complex regulatory hurdles slow deployment

Complex regulatory hurdles remain a significant restraint for autonomous last-mile delivery platforms. Governments impose strict compliance requirements on safety, traffic management, and liability frameworks. Enterprises face delays in scaling operations due to fragmented regional policies. Smaller players struggle to adapt to evolving regulations compared to larger corporations. High costs of certification and compliance audits add further challenges. Complex regulatory hurdles are restraining widespread adoption of autonomous urban last-mile delivery despite strong demand.

Opportunity:

Expansion in smart city logistics networks

Smart cities increasingly integrate IoT, AI, and connected infrastructure to support seamless logistics. Autonomous fleets benefit from real-time traffic management, predictive analytics, and optimized routing. Enterprises are embedding autonomous delivery into smart city ecosystems to improve scalability and sustainability. Partnerships with municipalities accelerate innovation in urban logistics. Expansion in smart city logistics networks is fostering significant growth opportunities in the market.

Threat:

Cybersecurity risks in autonomous systems

Connected fleets generate sensitive operational data vulnerable to breaches and cyberattacks. Enterprises face rising costs due to compliance audits and security investments. Smaller providers struggle to implement robust cybersecurity frameworks compared to larger players. Regulatory emphasis on data protection adds further complexity to operations. Cybersecurity risks are restraining confidence and threatening consistent growth in the autonomous urban last-mile delivery market.

Covid-19 Impact:

The Covid-19 pandemic accelerated demand for autonomous urban last-mile delivery as consumers shifted to contactless logistics. On one hand, supply chain disruptions and delayed infrastructure projects slowed deployments. On the other hand, surging demand for e-commerce, healthcare supplies, and essential goods boosted adoption. Autonomous fleets became critical in ensuring continuity of services during lockdowns. The crisis reinforced the importance of resilient, contactless, and automated delivery ecosystems. Overall, Covid-19 boosted awareness of autonomous last-mile delivery as a strategic enabler of urban logistics.

The autonomous ground vehicles segment is expected to be the largest during the forecast period

The autonomous ground vehicles segment is expected to account for the largest market share during the forecast period driven by demand for scalable, safe, and efficient delivery systems in dense urban areas. Ground vehicles provide flexibility in navigating city streets and integrating with existing logistics networks. Enterprises rely on autonomous ground fleets to strengthen customer engagement and reduce delivery times. Demand for scalable ground-based solutions is rising as urban consumers prioritize convenience. Integration with AI-driven navigation further strengthens adoption.

The healthcare providers & pharmacies segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare providers & pharmacies segment is predicted to witness the highest growth rate supported by rising demand for instant access to medicines, diagnostic kits, and healthcare essentials. Healthcare providers increasingly leverage autonomous delivery platforms to improve patient outcomes and compliance. Real-time delivery of critical supplies strengthens operational efficiency in healthcare ecosystems. Rising investment in digital health initiatives is reinforcing demand in this segment. Integration with AI-driven logistics further amplifies adoption. As healthcare providers and pharmacies accelerate digital adoption autonomous last-mile delivery is propelling growth in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by advanced logistics infrastructure strong regulatory frameworks and early investment in autonomous delivery platforms. The presence of leading technology providers and mature e-commerce ecosystems supports large-scale deployments. Regulatory emphasis on innovation and sustainability drives adoption of autonomous fleets. Enterprises in North America prioritize instant delivery and customer engagement through autonomous models. High demand for healthcare and retail logistics further strengthens adoption.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid urbanization expanding mobile subscriber base and government-led smart city initiatives across emerging economies. Countries such as China, India, and Southeast Asia are investing heavily in autonomous delivery systems to support e-commerce growth. Rising demand for instant delivery in densely populated cities strengthens adoption of AI-driven fleets. Local enterprises are deploying scalable platforms to meet growing digital needs. Expanding digital ecosystems are reinforcing the role of autonomous delivery in enterprise modernization.

Key players in the market

Some of the key players in Autonomous Urban Last-Mile Delivery Market include Amazon.com, Inc., Alphabet Inc., United Parcel Service, Inc., FedEx Corporation, DHL International GmbH, JD.com, Inc., Meituan Dianping, Nuro, Inc., Starship Technologies, Inc., Zipline International, Inc., Wingcopter GmbH, Workhorse Group, Inc., Eliport Robotics, S.L., Cleveron AS and Segway Robotics.

Key Developments:

In January 2023, UPS announced a multi-year commercial agreement with Gatik to deploy its autonomous box trucks on middle-mile delivery routes in Texas, specifically to streamline the movement of goods from micro-fulfillment centers to store locations, optimizing the supply chain for last-mile readiness.

In June 2022, Waymo Via announced a strategic partnership with Uber Freight to integrate its autonomous driving technology with Uber's freight logistics network. This agreement aims to deploy autonomous trucks for middle-mile logistics, which feeds into last-mile delivery hubs.

Vehicle Types Covered:

  • Autonomous Ground Vehicles
  • Delivery Drones
  • Sidewalk & Curbside Delivery Robots
  • Hybrid & Multi-Modal Autonomous Systems
  • Other Vehicle Types

Business Models Covered:

  • Direct-to-Consumer (D2C)
  • Platform-Based Aggregator
  • Delivery-as-a-Service (DaaS)
  • Subscription & Membership
  • Other Business Models

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • Internet of Things (IoT) & Real-Time Tracking
  • Autonomous Navigation & Mapping (SLAM, HD Maps)
  • Cloud-Based Fleet & Operations Management
  • Cybersecurity & Secure Transaction Technologies
  • Other Technologies

End Users Covered:

  • E-Commerce & Marketplaces
  • Healthcare Providers & Pharmacies
  • Restaurants & Food Service Companies
  • Logistics & Last-Mile Service Providers
  • Government & Municipal Bodies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Urban Last-Mile Delivery Market, By Vehicle Type

  • 5.1 Introduction
  • 5.2 Autonomous Ground Vehicles
  • 5.3 Delivery Drones
  • 5.4 Sidewalk & Curbside Delivery Robots
  • 5.5 Hybrid & Multi-Modal Autonomous Systems
  • 5.6 Other Vehicle Types

6 Global Autonomous Urban Last-Mile Delivery Market, By Business Model

  • 6.1 Introduction
  • 6.2 Direct-to-Consumer (D2C)
  • 6.3 Platform-Based Aggregator
  • 6.4 Delivery-as-a-Service (DaaS)
  • 6.5 Subscription & Membership
  • 6.6 Other Business Models

7 Global Autonomous Urban Last-Mile Delivery Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Autonomous Urban Last-Mile Delivery Market, By Technology

  • 8.1 Introduction
  • 8.2 Internet of Things (IoT) & Real-Time Tracking
  • 8.3 Autonomous Navigation & Mapping (SLAM, HD Maps)
  • 8.4 Cloud-Based Fleet & Operations Management
  • 8.5 Cybersecurity & Secure Transaction Technologies
  • 8.8 Other Technologies

9 Global Autonomous Urban Last-Mile Delivery Market, By End User

  • 9.1 Introduction
  • 9.2 E-Commerce & Marketplaces
  • 9.3 Healthcare Providers & Pharmacies
  • 9.4 Restaurants & Food Service Companies
  • 9.5 Logistics & Last-Mile Service Providers
  • 9.6 Government & Municipal Bodies
  • 9.7 Other End Users

10 Global Autonomous Urban Last-Mile Delivery Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Amazon.com, Inc.
  • 12.2 Alphabet Inc.
  • 12.3 United Parcel Service, Inc.
  • 12.4 FedEx Corporation
  • 12.5 DHL International GmbH
  • 12.6 JD.com, Inc.
  • 12.7 Meituan Dianping
  • 12.8 Nuro, Inc.
  • 12.9 Starship Technologies, Inc.
  • 12.10 Zipline International, Inc.
  • 12.11 Wingcopter GmbH
  • 12.12 Workhorse Group, Inc.
  • 12.13 Eliport Robotics, S.L.
  • 12.14 Cleveron AS
  • 12.15 Segway Robotics

List of Tables

  • Table 1 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 3 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Autonomous Ground Vehicles (2024-2032) ($MN)
  • Table 4 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Delivery Drones (2024-2032) ($MN)
  • Table 5 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Sidewalk & Curbside Delivery Robots (2024-2032) ($MN)
  • Table 6 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Hybrid & Multi-Modal Autonomous Systems (2024-2032) ($MN)
  • Table 7 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Other Vehicle Types (2024-2032) ($MN)
  • Table 8 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Business Model (2024-2032) ($MN)
  • Table 9 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Direct-to-Consumer (D2C) (2024-2032) ($MN)
  • Table 10 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Platform-Based Aggregator (2024-2032) ($MN)
  • Table 11 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Delivery-as-a-Service (DaaS) (2024-2032) ($MN)
  • Table 12 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Subscription & Membership (2024-2032) ($MN)
  • Table 13 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Other Business Models (2024-2032) ($MN)
  • Table 14 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 15 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 16 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 17 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Internet of Things (IoT) & Real-Time Tracking (2024-2032) ($MN)
  • Table 19 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Autonomous Navigation & Mapping (SLAM, HD Maps) (2024-2032) ($MN)
  • Table 20 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Cloud-Based Fleet & Operations Management (2024-2032) ($MN)
  • Table 21 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Cybersecurity & Secure Transaction Technologies (2024-2032) ($MN)
  • Table 22 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 23 Global Autonomous Urban Last-Mile Delivery Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global Autonomous Urban Last-Mile Delivery Market Outlook, By E-Commerce & Marketplaces (2024-2032) ($MN)
  • Table 25 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Healthcare Providers & Pharmacies (2024-2032) ($MN)
  • Table 26 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Restaurants & Food Service Companies (2024-2032) ($MN)
  • Table 27 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Logistics & Last-Mile Service Providers (2024-2032) ($MN)
  • Table 28 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Government & Municipal Bodies (2024-2032) ($MN)
  • Table 29 Global Autonomous Urban Last-Mile Delivery Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.