세계의 스마트 도시 물류 시장 예측 : 배송유형별, 수송 수단별, 물류 모델별, 기술별, 최종사용자별, 지역별 분석(-2032년)

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