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市場調查報告書
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1865495

全球智慧城市物流市場：未來預測（至2032年）－按交付類型、運輸方式、物流模式、技術、最終用戶和區域進行分析

Smart Urban Logistics Market Forecasts to 2032 - Global Analysis By Delivery Type (Last-Mile Delivery, Same-Day Delivery, Hyperlocal Delivery and Scheduled Urban Delivery), Transport Mode, Logistics Model, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球智慧城市物流市場規模將達到 51.7 億美元，到 2032 年將達到 221.4 億美元，預測期內複合年成長率為 23.1%。

智慧城市物流透過先進的數位化和智慧交通管理提升城市貨運系統。它利用物聯網、自動化和人工智慧分析等技術，提高最後一公里配送效率，最佳化路線，並降低營運成本。此理念優先發展綠色物流，採用電動車隊、共用配送中心和低排放解決方案。透過促進物流營運商、城市規劃者和企業之間的合作，智慧系統確保城市間貨物運輸的永續。即時監控、預測性規劃和資料整合支援動態決策，在提高服務可靠性的同時，最大限度地減少擁塞和污染。這種現代化方法將傳統的城市物流轉變為高效能、韌性強且永續的配送生態系統。

根據發表在 ResearchGate 上的一篇系統性文獻綜述，城市貨運佔城市交通總量的 20% 至 30%，是造成空氣污染和交通堵塞的重要因素。智慧城市物流旨在透過數位協作、電動車和微型配送中心來緩解這些影響。

電子商務和最後一公里配送的需求不斷成長

電子商務的蓬勃發展加速了對先進末端配送網路的需求，並推動了智慧城市物流的發展。隨著消費者對快速可靠配送服務的需求日益成長，物流公司正依賴整合自動化、路線規劃和即時追蹤工具的智慧系統。這些解決方案提高了配送準確率，縮短了運輸時間，並提升了營運的永續性。快捷郵件配送的蓬勃發展推動了人工智慧、物聯網和分析技術的應用，以最佳化配送路線和車輛性能。隨著訂單量的激增，城市和物流營運商正在採用數位化、數據驅動的框架，以確保營運順暢、減少交通堵塞，並打造符合現代零售期望的環保型城市配送流程。

安裝和維修成本高昂

智慧城市物流普及的主要障礙在於其高昂的初始投資和持續營運成本。部署基於物聯網的追蹤系統、自動化工具和電動車隊需要大量的資本投入和持續的維護成本。許多小規模物流業者難以承擔這些先進技術的實施成本，阻礙了市場滲透。將智慧系統整合到現有物流系統中也需要複雜的升級改造和專業技術，這會增加營運成本。尤其是在開發中國家，資金和基礎設施的限制會限制智慧物流的普及速度。因此，這些與成本相關的挑戰將減緩創新，並使得在城市供應鏈網路中大規模部署智慧化、數據驅動的物流系統變得更加困難。

擴大智慧基礎設施和城市規劃舉措

智慧城市計劃和先進的城市基礎設施正在為智慧城市物流開闢新途徑。各國政府和市政當局正在實施智慧交通系統、互聯高速公路和基於感測器的道路網路，以最佳化貨運。這些改善措施有助於更好地規劃路線、減少交通堵塞，並促進物流業者與市政府之間的順暢合作。物流規劃與城市發展的整合確保了微型樞紐、配送走廊和永續交通路線的高效利用。隨著城市數據驅動程度的提高，物流營運將變得更加精準和擴充性。智慧基礎設施的這種發展將加速高效、環保的現代城市環境物流系統的普及應用。

都市區的基礎設施限制

基礎設施薄弱和城市規劃不完善對智慧城市物流的擴張構成重大威脅。許多城市面臨交通堵塞、配送空間有限和電動車充電樁不足等問題，導致物流運作延誤。道路品質參差不齊和老化的交通系統使得路線最佳化困難重重，增加了運輸時間和營運成本。專用貨運區和智慧基礎設施的缺乏降低了數位化物流解決方案的效率。特別是開發中國家，由於缺乏資金籌措和規劃，難以實施先進的系統。如果沒有大規模的基礎設施建設，即時、技術驅動的物流效率難以實現，這限制了大都會圈智慧配送網路的順暢運作。

新冠疫情的感染疾病：

新冠疫情重塑了智慧城市物流市場，加速了數位化和自動化物流的普及。疫情封鎖期間電子商務的蓬勃發展，使得企業對更快、更安全、更便利的配送系統需求激增。在勞動力和出行受限的情況下，企業加速採用人工智慧、物聯網和機器人技術，以維持營運並提高效率。儘管供應鏈中斷和資源短缺在初期帶來了挑戰，但疫情也凸顯了智慧化、適應性強的物流基礎設施的價值。隨著經濟復甦，企業開始專注於自動化、永續性和韌性，加速將智慧技術融入城市配送系統，以滿足不斷變化的消費者期望，並增強未來危機中的物流連續性。

預計在預測期內，最後一公里配送領域將佔據最大的市場佔有率。

預計在預測期內，最後一公里配送將佔據最大的市場佔有率，因為它是倉庫與消費者之間最終也是最關鍵的環節。該領域面臨速度、成本和客戶滿意度方面的重大挑戰，因此需要整合先進技術。網路購物趨勢推動了對快速、靈活和環保配送的需求。物流業者正在利用物聯網設備、人工智慧路線規劃和電動汽車車隊來提高配送準確性和營運永續性。增強的追蹤系統為客戶提供即時可見性，從而提升了可靠性和便利性。隨著都市區密度的增加和消費者行為的改變，最後一公里配送將繼續成為推動城市物流網路現代化的關鍵因素。

預計在預測期內，生鮮雜貨和生鮮雜貨配送領域將實現最高的複合年成長率。

預計在預測期內，生鮮雜貨及生鮮雜貨配送領域將保持最高的成長率，這主要得益於消費者習慣的轉變，他們越來越傾向於即時和按需服務。線上餐飲和生鮮雜貨訂購平台的激增，加速了對智慧、溫控和高效配送系統的需求。物聯網、人工智慧和自動駕駛汽車等技術有助於在縮短配送時間和降低成本的同時，維持產品品質。對雲端廚房、微型倉配中心和環保配送車輛的投資不斷成長，進一步提升了擴充性和永續性。隨著都市區的成長，人們對配送速度和新鮮度的需求日益增加，該領域在重塑現代城市物流運作的同時，也持續保持著強勁的成長動能。

佔比最大的地區：

由於北美擁有強大的技術基礎和成熟的電子商務環境，預計在預測期內將保持最大的市場佔有率。該地區的物流公司正積極整合物聯網、人工智慧和自動化技術，以簡化和改善配送流程。美國和加拿大的城市正在擴展智慧交通基礎設施、推廣電動車和環保物流方式。對數位平台的積極投資，以及政府對永續供應鏈的支持，正使該系統更加可靠和擴充性。主要產業參與者的存在，以及消費者對更快、更透明的配送服務的高期望，使北美在塑造智慧城市物流解決方案的發展方向方面處於主導地位。

年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於電子商務的擴張、數位化以及城市基礎設施建設的推進。中國、印度、日本和韓國等國家正在採用人工智慧和物聯網驅動的物流技術，以提高擁擠城市的物流效率。智慧型手機的普及和線上零售活動的活性化，推動了對更快、更可靠的配送系統的強勁需求。政府推行的電動車和永續城市物流措施也進一步促進了成長。龐大的人口基數、不斷提高的技術普及率以及對智慧運輸日益成長的投資，共同推動著亞太地區持續崛起，成為智慧物流領域最具活力且發展最快的市場。

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目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 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
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球智慧城市物流市場（依配送類型分類）

  • 介紹
  • 最後一公里配送
  • 當日送達
  • 超當地語系化配送
  • 常規城市配送

6. 全球智慧城市物流市場依運輸方式分類

  • 介紹
  • 城市道路車輛
  • 自主地面配送機器人
  • 空中配送無人機
  • 微型移動單元

7. 全球智慧城市物流市場（依物流模式分類）

  • 介紹
  • 中心輻射式城市配送
  • P2P（點對點）直接交付
  • 透過零工平台進行眾籌
  • 微型倉配中心

8. 全球智慧城市物流市場（依技術分類）

  • 介紹
  • 物聯網與城市遠端資訊處理
  • 人工智慧驅動的路徑規劃與最佳化
  • 雲端基礎的物流平台
  • 自主導航系統
  • 區塊鏈輔助城市供應鏈溯源

9. 全球智慧城市物流市場（以最終用戶分類）

  • 介紹
  • 城市零售與電子商務
  • 醫療和藥品分銷
  • 食品和雜貨配送
  • 郵政和宅配服務

第10章 全球智慧城市物流市場（按地區分類）

  • 介紹
  • 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
    • 其他南美洲
  • 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：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • ARTC Logistics
  • AutoScheduler.AI
  • CTSI-Global
  • Cypress Inland
  • DAT Freight & Analytics
  • GAINSystems
  • Grasshopper Labs
  • Loadsmart
  • Manhattan Associates
  • DHL
  • Flexport
  • GXO Logistics
  • Veho Logistics
  • Maersk
  • Blue Yonder
Product Code: SMRC32135

According to Stratistics MRC, the Global Smart Urban Logistics Market is accounted for $5.17 billion in 2025 and is expected to reach $22.14 billion by 2032 growing at a CAGR of 23.1% during the forecast period. Smart Urban Logistics enhances city freight systems through advanced digitalization and intelligent transportation management. It leverages technologies like IoT, automation, and AI-based analytics to improve last-mile delivery performance, optimize routes, and cut operational costs. The concept prioritizes eco-friendly logistics using electric fleets, shared delivery points, and low-emission solutions. By fostering collaboration among logistics providers, urban planners, and businesses, smart systems ensure seamless, sustainable freight movement across cities. Real-time monitoring, predictive planning, and data integration enable dynamic decision-making, minimizing congestion and pollution while improving service reliability. This modern approach transforms traditional urban logistics into efficient, resilient, and sustainable delivery ecosystems.

According to a systematic literature review published on ResearchGate, urban freight accounts for 20-30% of total urban traffic, contributing significantly to air pollution and congestion. Smart Urban Logistics aims to mitigate these impacts through digital coordination, electric vehicles, and micro-distribution hubs.

Market Dynamics:

Driver:

Growing e-commerce and last-mile delivery demand

Expanding e-commerce activities have accelerated the need for advanced last-mile delivery networks, fueling Smart Urban Logistics growth. With consumers seeking rapid and reliable delivery services, logistics firms rely on intelligent systems integrating automation, route planning, and live tracking tools. These solutions enhance delivery precision, reduce travel time, and improve operational sustainability. The growing trend of express deliveries encourages the use of AI, IoT, and analytics to optimize delivery routes and fleet performance. As order volumes surge, cities and logistics operators are adopting digital, data-driven frameworks that ensure smooth operations, reduced congestion, and environmentally conscious urban delivery processes that meet modern retail expectations.

Restraint:

High implementation and maintenance costs

Substantial upfront investments and ongoing expenses are key barriers to Smart Urban Logistics adoption. Setting up IoT-based tracking systems, automation tools, and electric vehicle fleets demands high capital expenditure and continuous maintenance spending. Many small logistics operators struggle to afford these advanced technologies, hindering market penetration. Integrating smart systems into legacy logistics structures also involves complex upgrades and specialized technical skills, adding to operational costs. Developing nations particularly face financial and infrastructure constraints that limit implementation speed. As a result, these cost-related challenges slow down innovation, making large-scale deployment of intelligent, data-driven logistics systems more difficult across urban supply networks.

Opportunity:

Expansion of smart infrastructure and urban planning initiatives

Smart city projects and advanced urban infrastructure are opening new avenues for Smart Urban Logistics. Governments and municipalities are deploying intelligent transport systems, connected highways, and sensor-based road networks to optimize freight movement. These improvements enable better route planning, reduced congestion, and smoother collaboration between logistics providers and city administrations. Integration of logistics planning with urban development ensures efficient use of micro-hubs, delivery corridors, and sustainable transport routes. As cities become more data-driven, logistics operations gain in precision and scalability. This growth in smart infrastructure accelerates the adoption of efficient, eco-friendly logistics systems tailored for modern urban environments.

Threat:

Infrastructure limitations in urban areas

Poor infrastructure and inadequate urban planning significantly threaten Smart Urban Logistics expansion. Many cities face traffic congestion, limited delivery spaces, and insufficient EV charging points, which slow down logistics operations. Inconsistent road quality and aging transport systems make route optimization difficult, increasing travel time and operational costs. The absence of dedicated freight zones and smart infrastructure reduces the efficiency of digital logistics solutions. Developing countries, in particular, struggle to implement advanced systems due to funding and planning gaps. Without large-scale infrastructure upgrades, achieving real-time, technology-enabled logistics efficiency remains challenging, restricting the smooth functioning of smart delivery networks in metropolitan regions.

Covid-19 Impact:

The COVID-19 outbreak reshaped the Smart Urban Logistics Market, rapidly advancing digital and automated logistics adoption. E-commerce growth during lockdowns boosted the need for faster, safer, and contactless delivery systems. Companies increasingly implemented AI, IoT, and robotics to maintain operations and enhance efficiency amid workforce and mobility limitations. Although supply chain interruptions and resource shortages posed early challenges, the pandemic revealed the value of intelligent, adaptive logistics infrastructures. As recovery began, businesses emphasized automation, sustainability, and resilience, accelerating the integration of smart technologies in urban delivery systems to meet evolving consumer expectations and strengthen logistics continuity in future crises.

The last-mile delivery segment is expected to be the largest during the forecast period

The last-mile delivery segment is expected to account for the largest market share during the forecast period as it serves as the final and most essential link between warehouses and consumers. This segment faces significant challenges involving speed, cost, and customer satisfaction, prompting heavy technological integration. Rising online shopping trends have intensified demand for quick, flexible, and eco-friendly deliveries. Utilizing IoT devices, AI-powered route planning, and electric fleets, logistics providers improve delivery accuracy and operational sustainability. Enhanced tracking systems offer customers real-time visibility, reinforcing trust and convenience. With increasing urban density and shifting consumer behaviors, last-mile delivery remains the primary growth driver shaping the modernization of urban logistics networks.

The food & grocery delivery segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the food & grocery delivery segment is predicted to witness the highest growth rate, driven by evolving consumer habits favoring instant and on-demand service. The surge in online meal and grocery ordering platforms has intensified demand for smart, temperature-controlled, and efficient delivery systems. Technologies like IoT, AI, and autonomous vehicles help maintain product quality while reducing delivery time and costs. Growing investments in cloud kitchens, micro-fulfillment centers, and eco-friendly fleets further enhance scalability and sustainability. As urban populations increasingly seek speed and freshness in deliveries, this segment continues to experience strong growth momentum, reshaping modern urban logistics operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its strong technological foundation and mature e-commerce landscape. The region's logistics firms actively integrate IoT, AI, and automation to streamline deliveries and improve efficiency. Cities across the U.S. and Canada are expanding smart transport infrastructure, electric mobility, and eco-friendly logistics practices. Robust investments in digital platforms, combined with government support for sustainable supply chains, have enhanced system reliability and scalability. The presence of key industry players and high consumer expectations for faster, transparent deliveries contribute to North America's leading position in shaping the evolution of smart urban logistics solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to expanding e-commerce, digitalization, and urban infrastructure development. Nations like China, India, Japan, and South Korea are implementing AI-driven and IoT-enabled logistics to improve efficiency in crowded cities. Increasing smartphone use and online retail activity are driving strong demand for quicker, more reliable delivery systems. Government initiatives promoting electric vehicles and sustainable urban logistics are further accelerating growth. With a vast population, improving technology adoption, and growing investments in smart mobility, Asia-Pacific continues to emerge as the most dynamic and rapidly evolving market for smart logistics.

Key players in the market

Some of the key players in Smart Urban Logistics Market include ARTC Logistics, AutoScheduler.AI, CTSI-Global, Cypress Inland, DAT Freight & Analytics, GAINSystems, Grasshopper Labs, Loadsmart, Manhattan Associates, DHL, Flexport, GXO Logistics, Veho Logistics, Maersk and Blue Yonder.

Key Developments:

In October 2025, AutoScheduler.AI announces the launch of its Warehouse Decision Agent, the first AI-powered coordination assistant designed specifically for warehouses. The Agent is available free to anyone in warehousing and supply chain operations. The Warehouse Decision Agent acts as an AI sidekick for daily coordination. Operators can upload schedules, instantly receive optimized plans, identify risks, run scenarios, and generate ready-to-use updates-all in minutes.

In April 2024, ARTC and Wabtec have entered into an agreement to collaborate on digital technology for Australian rail system interoperability. Wabtec, who's I-ETMS-based Positive Train Control (PTC) onboard technology is deployed across the U.S. main line rail network, will investigate the capabilities of ARTC's ATMS and develop an interoperability standard between ATMS and ETCS Level 2, which is being installed on the NSW state network to replace wayside signals under Transport for New South Wales' Digital Systems Program.

Delivery Types Covered:

  • Last-Mile Delivery
  • Same-Day Delivery
  • Hyperlocal Delivery
  • Scheduled Urban Delivery

Transport Modes Covered:

  • Urban Road Vehicles
  • Autonomous Ground Delivery Robots
  • Aerial Delivery Drones
  • Micro-Mobility Units

Logistics Models Covered:

  • Hub-and-Spoke Urban Distribution
  • Point-to-Point Direct Fulfillment
  • Crowdshipping via Gig Platforms
  • Micro-Fulfillment Centers

Technologies Covered:

  • IoT & Urban Telematics
  • AI-Powered Routing & Optimization
  • Cloud-Based Logistics Platforms
  • Autonomous Navigation Systems
  • Blockchain for Urban Supply Chain Traceability

End Users Covered:

  • Urban Retail & E-commerce
  • Healthcare & Pharma Distribution
  • Food & Grocery Delivery
  • Postal & Courier Services

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 Smart Urban Logistics Market, By Delivery Type

  • 5.1 Introduction
  • 5.2 Last-Mile Delivery
  • 5.3 Same-Day Delivery
  • 5.4 Hyperlocal Delivery
  • 5.5 Scheduled Urban Delivery

6 Global Smart Urban Logistics Market, By Transport Mode

  • 6.1 Introduction
  • 6.2 Urban Road Vehicles
  • 6.3 Autonomous Ground Delivery Robots
  • 6.4 Aerial Delivery Drones
  • 6.5 Micro-Mobility Units

7 Global Smart Urban Logistics Market, By Logistics Model

  • 7.1 Introduction
  • 7.2 Hub-and-Spoke Urban Distribution
  • 7.3 Point-to-Point Direct Fulfillment
  • 7.4 Crowdshipping via Gig Platforms
  • 7.5 Micro-Fulfillment Centers

8 Global Smart Urban Logistics Market, By Technology

  • 8.1 Introduction
  • 8.2 IoT & Urban Telematics
  • 8.3 AI-Powered Routing & Optimization
  • 8.4 Cloud-Based Logistics Platforms
  • 8.5 Autonomous Navigation Systems
  • 8.6 Blockchain for Urban Supply Chain Traceability

9 Global Smart Urban Logistics Market, By End User

  • 9.1 Introduction
  • 9.2 Urban Retail & E-commerce
  • 9.3 Healthcare & Pharma Distribution
  • 9.4 Food & Grocery Delivery
  • 9.5 Postal & Courier Services

10 Global Smart Urban Logistics 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 ARTC Logistics
  • 12.2 AutoScheduler.AI
  • 12.3 CTSI-Global
  • 12.4 Cypress Inland
  • 12.5 DAT Freight & Analytics
  • 12.6 GAINSystems
  • 12.7 Grasshopper Labs
  • 12.8 Loadsmart
  • 12.9 Manhattan Associates
  • 12.10 DHL
  • 12.11 Flexport
  • 12.12 GXO Logistics
  • 12.13 Veho Logistics
  • 12.14 Maersk
  • 12.15 Blue Yonder

List of Tables

  • Table 1 Global Smart Urban Logistics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Smart Urban Logistics Market Outlook, By Delivery Type (2024-2032) ($MN)
  • Table 3 Global Smart Urban Logistics Market Outlook, By Last-Mile Delivery (2024-2032) ($MN)
  • Table 4 Global Smart Urban Logistics Market Outlook, By Same-Day Delivery (2024-2032) ($MN)
  • Table 5 Global Smart Urban Logistics Market Outlook, By Hyperlocal Delivery (2024-2032) ($MN)
  • Table 6 Global Smart Urban Logistics Market Outlook, By Scheduled Urban Delivery (2024-2032) ($MN)
  • Table 7 Global Smart Urban Logistics Market Outlook, By Transport Mode (2024-2032) ($MN)
  • Table 8 Global Smart Urban Logistics Market Outlook, By Urban Road Vehicles (2024-2032) ($MN)
  • Table 9 Global Smart Urban Logistics Market Outlook, By Autonomous Ground Delivery Robots (2024-2032) ($MN)
  • Table 10 Global Smart Urban Logistics Market Outlook, By Aerial Delivery Drones (2024-2032) ($MN)
  • Table 11 Global Smart Urban Logistics Market Outlook, By Micro-Mobility Units (2024-2032) ($MN)
  • Table 12 Global Smart Urban Logistics Market Outlook, By Logistics Model (2024-2032) ($MN)
  • Table 13 Global Smart Urban Logistics Market Outlook, By Hub-and-Spoke Urban Distribution (2024-2032) ($MN)
  • Table 14 Global Smart Urban Logistics Market Outlook, By Point-to-Point Direct Fulfillment (2024-2032) ($MN)
  • Table 15 Global Smart Urban Logistics Market Outlook, By Crowdshipping via Gig Platforms (2024-2032) ($MN)
  • Table 16 Global Smart Urban Logistics Market Outlook, By Micro-Fulfillment Centers (2024-2032) ($MN)
  • Table 17 Global Smart Urban Logistics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Smart Urban Logistics Market Outlook, By IoT & Urban Telematics (2024-2032) ($MN)
  • Table 19 Global Smart Urban Logistics Market Outlook, By AI-Powered Routing & Optimization (2024-2032) ($MN)
  • Table 20 Global Smart Urban Logistics Market Outlook, By Cloud-Based Logistics Platforms (2024-2032) ($MN)
  • Table 21 Global Smart Urban Logistics Market Outlook, By Autonomous Navigation Systems (2024-2032) ($MN)
  • Table 22 Global Smart Urban Logistics Market Outlook, By Blockchain for Urban Supply Chain Traceability (2024-2032) ($MN)
  • Table 23 Global Smart Urban Logistics Market Outlook, By End User (2024-2032) ($MN)
  • Table 24 Global Smart Urban Logistics Market Outlook, By Urban Retail & E-commerce (2024-2032) ($MN)
  • Table 25 Global Smart Urban Logistics Market Outlook, By Healthcare & Pharma Distribution (2024-2032) ($MN)
  • Table 26 Global Smart Urban Logistics Market Outlook, By Food & Grocery Delivery (2024-2032) ($MN)
  • Table 27 Global Smart Urban Logistics Market Outlook, By Postal & Courier Services (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.