查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1865495

全球智慧城市物流市场：未来预测（至2032年）－按交付类型、运输方式、物流模式、技术、最终用户和区域进行分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球智慧城市物流市场规模将达到 51.7 亿美元，到 2032 年将达到 221.4 亿美元，预测期内复合年增长率为 23.1%。

智慧城市物流透过先进的数位化和智慧交通管理提升城市货运系统。它利用物联网、自动化和人工智慧分析等技术，提高最后一公里配送效率，优化路线，并降低营运成本。此理念优先发展绿色物流，采用电动车队、共用配送中心和低排放解决方案。透过促进物流运营商、城市规划者和企业之间的合作，智慧系统确保城市间货物运输的永续。即时监控、预测性规划和资料整合支援动态决策，在提高服务可靠性的同时，最大限度地减少拥塞和污染。这种现代化方法将传统的城市物流转变为高效能、韧性强且永续的配送生态系统。

根据发表在 ResearchGate 上的一篇系统性文献综述，城市货运占城市交通总量的 20% 至 30%，是造成空气污染和交通拥堵的重要因素。智慧城市物流旨在透过数位协作、电动车和微型配送中心来缓解这些影响。

电子商务和最后一公里配送的需求不断增长

电子商务的蓬勃发展加速了对先进末端配送网路的需求，并推动了智慧城市物流的发展。随着消费者对快速可靠配送服务的需求日益增长，物流公司正依赖整合自动化、路线规划和即时追踪工具的智慧系统。这些解决方案提高了配送准确率，缩短了运输时间，并提升了营运的永续性。快捷邮件配送的蓬勃发展推动了人工智慧、物联网和分析技术的应用，以优化配送路线和车辆性能。随着订单量的激增，城市和物流营运商正在采用数位化、数据驱动的框架，以确保营运顺畅、减少交通拥堵，并打造符合现代零售期望的环保型城市配送流程。

安装和维修成本高昂

智慧城市物流普及的主要障碍在于其高昂的初始投资和持续营运成本。部署基于物联网的追踪系统、自动化工具和电动车队需要大量的资本投入和持续的维护成本。许多小规模物流业者难以承担这些先进技术的实施成本，阻碍了市场渗透。将智慧系统整合到现有物流系统中也需要复杂的升级改造和专业技术，这会增加营运成本。尤其是在开发中国家，资金和基础设施的限制会限制智慧物流的普及速度。因此，这些与成本相关的挑战将减缓创新，并使得在城市供应链网路中大规模部署智慧化、数据驱动的物流系统变得更加困难。

扩大智慧基础设施和城市规划倡议

智慧城市计划和先进的城市基础设施正在为智慧城市物流开闢新途径。各国政府和市政当局正在实施智慧交通系统、互联高速公路和基于感测器的道路网络，以优化货运。这些改善措施有助于更好地规划路线、减少交通拥堵，并促进物流业者与市政府之间的顺畅合作。物流规划与城市发展的整合确保了微型枢纽、配送走廊和永续交通路线的高效利用。随着城市数据驱动程度的提高，物流营运将变得更加精准和扩充性。智慧基础设施的这种发展将加速高效、环保的现代城市环境物流系统的普及应用。

都市区的基础设施限制

基础设施薄弱和城市规划不完善对智慧城市物流的扩张构成重大威胁。许多城市面临交通拥堵、配送空间有限和电动车充电桩不足等问题，导致物流运作延误。道路品质参差不齐和老化的交通系统使得路线优化困难重重，增加了运输时间和营运成本。专用货运区和智慧基础设施的缺乏降低了数位化物流解决方案的效率。特别是开发中国家，由于缺乏资金筹措和规划，难以实施先进的系统。如果没有大规模的基础设施建设，即时、技术驱动的物流效率难以实现，这限制了大都会圈智慧配送网路的顺畅运作。

新冠疫情的感染疾病：

新冠疫情重塑了智慧城市物流市场，加速了数位化和自动化物流的普及。疫情封锁期间电子商务的蓬勃发展，使得企业对更快、更安全、更便利的配送系统需求激增。在劳动力和出行受限的情况下，企业加速采用人工智慧、物联网和机器人技术，以维持营运并提高效率。儘管供应链中断和资源短缺在初期带来了挑战，但疫情也凸显了智慧化、适应性强的物流基础设施的价值。随着经济復苏，企业开始专注于自动化、永续性和韧性，加速将智慧技术融入城市配送系统，以满足不断变化的消费者期望，并增强未来危机中的物流连续性。

预计在预测期内，最后一公里配送领域将占据最大的市场份额。

预计在预测期内，最后一公里配送将占据最大的市场份额，因为它是仓库与消费者之间最终也是最关键的环节。该领域面临速度、成本和客户满意度方面的重大挑战，因此需要整合先进技术。网路购物趋势推动了对快速、灵活和环保配送的需求。物流业者正在利用物联网设备、人工智慧路线规划和电动汽车车队来提高配送准确性和营运永续性。增强的追踪系统为客户提供即时可见性，从而提升了可靠性和便利性。随着都市区密度的增加和消费者行为的改变，最后一公里配送将继续成为推动城市物流网络现代化的关键因素。

预计在预测期内，生鲜杂货和生鲜杂货配送领域将实现最高的复合年增长率。

预计在预测期内，生鲜杂货及生鲜杂货配送领域将保持最高的成长率，这主要得益于消费者习惯的转变，他们越来越倾向于即时和按需服务。线上餐饮和生鲜杂货订购平台的激增，加速了对智慧、温控和高效配送系统的需求。物联网、人工智慧和自动驾驶汽车等技术有助于在缩短配送时间和降低成本的同时，维持产品品质。对云端厨房、微型仓配中心和环保配送车辆的投资不断增长，进一步提升了扩充性和永续性。随着都市区的成长，人们对配送速度和新鲜度的需求日益增加，该领域在重塑现代城市物流运作的同时，也持续保持着强劲的成长动能。

占比最大的地区：

由于北美拥有强大的技术基础和成熟的电子商务环境，预计在预测期内将保持最大的市场份额。该地区的物流公司正积极整合物联网、人工智慧和自动化技术，以简化和改善配送流程。美国和加拿大的城市正在扩展智慧交通基础设施、推广电动车和环保物流方式。对数位平台的积极投资，以及政府对永续供应链的支持，正使该系统更加可靠和扩充性。主要产业参与者的存在，以及消费者对更快、更透明的配送服务的高期望，使北美在塑造智慧城市物流解决方案的发展方向方面处于主导地位。

年复合成长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于电子商务的扩张、数位化以及城市基础设施建设的推进。中国、印度、日本和韩国等国家正在采用人工智慧和物联网驱动的物流技术，以提高拥挤城市的物流效率。智慧型手机的普及和线上零售活动的活性化，推动了对更快、更可靠的配送系统的强劲需求。政府推行的电动车和永续城市物流措施也进一步促进了成长。庞大的人口基数、不断提高的技术普及率以及对智慧运输日益增长的投资，共同推动着亚太地区持续崛起，成为智慧物流领域最具活力且发展最快的市场。

免费客製化服务

订阅本报告的用户可从以下免费自订选项中选择一项：

  • 公司简介
    • 对最多三家其他公司进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球智慧城市物流市场（依配送类型划分）

  • 介绍
  • 最后一公里配送
  • 当日送达
  • 超当地语系化配送
  • 常规城市配送

6. 全球智慧城市物流市场依运输方式划分

  • 介绍
  • 城市道路车辆
  • 自主地面配送机器人
  • 空中配送无人机
  • 微型移动单元

7. 全球智慧城市物流市场（依物流模式划分）

  • 介绍
  • 中心辐射式城市配送
  • P2P（点对点）直接交付
  • 透过零工平台进行众筹
  • 微型仓配中心

8. 全球智慧城市物流市场（依技术划分）

  • 介绍
  • 物联网与城市远端资讯处理
  • 人工智慧驱动的路径规划与优化
  • 云端基础的物流平台
  • 自主导航系统
  • 区块链辅助城市供应链溯源

9. 全球智慧城市物流市场（以最终用户划分）

  • 介绍
  • 城市零售与电子商务
  • 医疗和药品分销
  • 食品和杂货配送
  • 邮政和宅配服务

第十章 全球智慧城市物流市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：公司简介

  • 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.