도시 물류 자동화 시장 예측(-2034년) : 솔루션 유형별, 기술, 용도, 최종사용자 및 지역별 분석

According to Stratistics MRC, the Global Urban Logistics Automation Market is accounted for $102.5 billion in 2026 and is expected to reach $188.3 billion by 2034 growing at a CAGR of 7.9% during the forecast period. Urban Logistics Automation involves the use of intelligent systems like robotics, AI-driven platforms, automated handling equipment, and self-driving delivery solutions to improve the flow of goods across city landscapes. It enables faster processing in warehouses, efficient order fulfillment, and seamless last-mile delivery with minimal manual effort. Increasing population density and the rapid expansion of online shopping are driving the need for such automation to manage complex logistics operations effectively. Additionally, these technologies contribute to eco-friendly practices by enhancing route planning and lowering carbon footprints. In essence, it is reshaping urban supply chains into highly efficient and technology-driven ecosystems.

According to the World Bank, more than half of the global population-over four billion people-already lives in cities, and urban areas generate around 80% of global GDP, highlighting the massive scale and importance of urban economic activity that drives demand for efficient logistics and automation solutions.

Market Dynamics:

Driver:

Rapid growth of e-commerce and on-demand delivery

The surge in online shopping and demand for quick delivery services is significantly driving the adoption of urban logistics automation. Customers now expect rapid fulfillment, including same-day or instant delivery, which compels companies to implement advanced automated technologies. Solutions like robotics, smart warehousing systems, and AI-based logistics planning streamline operations and handle increasing order volumes effectively. In densely populated cities, manual logistics systems struggle to meet these demands. Automation enhances efficiency, lowers costs, and ensures accurate deliveries, helping businesses scale operations and stay competitive in a fast-paced, technology-driven retail environment.

Restraint:

High initial investment and implementation costs

The substantial upfront costs associated with implementing urban logistics automation act as a major barrier to its adoption. Integrating technologies like robotics, intelligent software, and automated handling systems demands significant financial resources, which can be challenging for smaller businesses. Beyond installation, expenses related to workforce training, system upgrades, and maintenance add to the overall cost. The lack of immediate financial returns and extended payback timelines further deter companies from investing in automation. Consequently, many organizations hesitate to transition from traditional systems, which restricts the widespread deployment of automated logistics solutions in urban environments.

Opportunity:

Expansion of smart city initiatives

Growing investments in smart city development offer significant opportunities for urban logistics automation. Governments are focusing on building advanced digital infrastructure, connected mobility systems, and intelligent urban networks that support efficient operations. This progress enables the adoption of automated logistics technologies, including robotic warehouses, self-driving delivery systems, and AI-powered traffic optimization. Such solutions can integrate smoothly with smart city ecosystems to improve delivery speed and reduce congestion challenges. As cities evolve into digitally connected environments, logistics companies can capitalize on these initiatives to implement automation, boost productivity, and provide more efficient and dependable urban delivery services.

Threat:

Cybersecurity risks and data privacy concerns

Growing cybersecurity threats and concerns over data privacy represent a major challenge for urban logistics automation. These systems depend on connected technologies, cloud computing, and continuous data sharing, which increases exposure to hacking and breaches. If compromised, critical business and customer data can be misused, resulting in financial and reputational harm. Moreover, strict data protection regulations make system management more complex. Security vulnerabilities can interrupt logistics operations and reduce stakeholder confidence. As digital integration expands, companies must prioritize strong cybersecurity frameworks to safeguard automated logistics systems and maintain trust in their operations.

Covid-19 Impact:

The COVID-19 outbreak played a crucial role in boosting the growth of urban logistics automation due to increased dependence on online shopping and contact-free deliveries. Restrictions and workforce limitations created challenges for traditional logistics operations, leading companies to adopt automated technologies like robotic systems, AI-driven processes, and autonomous delivery methods. These solutions enabled smoother operations, minimized human contact, and managed rising demand efficiently. Furthermore, the crisis emphasized the need for adaptable and robust logistics systems, motivating businesses to invest in automation for improved resilience and preparedness against similar disruptions in the future.

The artificial intelligence & machine learning segment is expected to be the largest during the forecast period

The artificial intelligence & machine learning segment is expected to account for the largest market share during the forecast period as they are fundamental to enhancing operational intelligence and efficiency. They support critical functions such as predictive analysis, dynamic routing, automated warehousing, and real-time decision-making. By analyzing large data sets, these technologies improve delivery precision, optimize resource use, and speed up operations. Their versatility allows seamless integration across various logistics activities, making them indispensable in urban environments. As the demand for smarter logistics grows, AI and ML remain key drivers in building advanced, flexible, and efficient automated logistics systems.

The retailers & e-commerce companies segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retailers & e-commerce companies segment is predicted to witness the highest growth rate, driven by the surge in digital shopping and heightened expectations for quick delivery services. To meet these demands, businesses are integrating automation tools like smart warehouses, predictive analytics, and automated delivery solutions. These technologies help manage increasing order volumes while improving efficiency and reducing costs. The focus on delivering superior customer experiences and maintaining competitive advantage is encouraging greater adoption of logistics automation. As online retail continues to expand, this segment is rapidly advancing the implementation of automated urban logistics systems.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to its mature technology landscape and widespread implementation of automated logistics systems. The region is characterized by a robust e-commerce sector, strong demand for rapid deliveries, and the presence of major industry players investing in advanced solutions. Businesses actively deploy technologies such as robotics, AI, and intelligent storage systems to improve efficiency and service quality. Favourable government initiatives and continuous innovation also support market expansion. With a strong emphasis on modernization and efficiency, North America remains a leading hub for urban logistics automation development.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by increasing urban development, booming e-commerce, and rising infrastructure investments. Nations including China, India, and those in Southeast Asia are seeing rapid growth in online shopping and urban populations, which fuels demand for advanced logistics solutions. Companies are increasingly implementing automation technologies such as intelligent systems, robotics, and connected platforms to enhance efficiency. Supportive government policies promoting smart cities and digitalization further boost market expansion. Consequently, Asia-Pacific is becoming a major center for the growth of automated urban logistics solutions.

Key players in the market

Some of the key players in Urban Logistics Automation Market include Amazon, JD.com, Alibaba Group, DHL Group, FedEx Corporation, United Parcel Service (UPS), SF Express, ZTO Express, Neolix, Coco Robotics, Arrive AI, Starship Technologies, Nuro, Ocado Group, AutoStore, Symbotic, Dematic and Swisslog.

Key Developments:

In March 2026, FedEx is launching a same-day shipping program with last-mile delivery company OneRail, just after Amazon announced it will start offering quicker shipping times, CNBC has learned exclusively. The new partnership means customers now have a definite "by end-of-day offering," according to Jason Brenner, FedEx's senior vice president of digital.

In August 2025, DHL Express and the Cathay Group have entered into a new sustainable aviation fuel (SAF) partnership that reinforces their shared commitment to reducing greenhouse gas emissions in the air cargo industry. Under the agreement, Cathay will supply DHL Express with 2,400 metric tons of SAF for international flights departing from three airports in Asia namely Seoul Incheon International Airport, Tokyo Narita International Airport, and Singapore Changi Airport.

In May 2025, Amazon.com Inc. has a multiyear agreement with FedEx Corp. to deliver large packages for the online retailer, renewing a relationship between the two companies that ended in 2019. The deal follows plans announced in January by United Parcel Service Inc. to reduce by half the number of packages it delivers for Amazon by the end of 2026.

Solution Types Covered:

• Automated Delivery Vehicles
• Smart Parcel Lockers & Pickup Stations
• Automated Sorting & Distribution Systems
• Last-Mile Delivery Platforms

Technologies Covered:

• Robotics & Autonomous Navigation
• Artificial Intelligence & Machine Learning
• IoT & Connected Infrastructure
• Cloud-Based Logistics Platforms
• Blockchain & Secure Tracking Systems

Applications Covered:

• E-Commerce & Retail Fulfillment
• Food & Grocery Delivery
• Healthcare & Pharmaceutical Logistics
• Postal & Courier Services
• Urban Freight & Micro-Warehousing

End Users Covered:

• Retailers & E-Commerce Companies
• Logistics Service Providers
• Food & Beverage Companies
• Healthcare Institutions
• Government & Municipal Services

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 Urban Logistics Automation Market, By Solution Type

• 5.1 Automated Delivery Vehicles
  • 5.1.1 Ground Robots
  • 5.1.2 Drones
  • 5.1.3 Autonomous Delivery Vans & Trucks
• 5.2 Smart Parcel Lockers & Pickup Stations
• 5.3 Automated Sorting & Distribution Systems
• 5.4 Last-Mile Delivery Platforms

6 Global Urban Logistics Automation Market, By Technology

• 6.1 Robotics & Autonomous Navigation
• 6.2 Artificial Intelligence & Machine Learning
• 6.3 IoT & Connected Infrastructure
• 6.4 Cloud-Based Logistics Platforms
• 6.5 Blockchain & Secure Tracking Systems

7 Global Urban Logistics Automation Market, By Application

• 7.1 E-Commerce & Retail Fulfillment
• 7.2 Food & Grocery Delivery
• 7.3 Healthcare & Pharmaceutical Logistics
• 7.4 Postal & Courier Services
• 7.5 Urban Freight & Micro-Warehousing

8 Global Urban Logistics Automation Market, By End User

• 8.1 Retailers & E-Commerce Companies
• 8.2 Logistics Service Providers
• 8.3 Food & Beverage Companies
• 8.4 Healthcare Institutions
• 8.5 Government & Municipal Services

9 Global Urban Logistics Automation Market, By Geography

• 9.1 North America
  • 9.1.1 United States
  • 9.1.2 Canada
  • 9.1.3 Mexico
• 9.2 Europe
  • 9.2.1 United Kingdom
  • 9.2.2 Germany
  • 9.2.3 France
  • 9.2.4 Italy
  • 9.2.5 Spain
  • 9.2.6 Netherlands
  • 9.2.7 Belgium
  • 9.2.8 Sweden
  • 9.2.9 Switzerland
  • 9.2.10 Poland
  • 9.2.11 Rest of Europe
• 9.3 Asia Pacific
  • 9.3.1 China
  • 9.3.2 Japan
  • 9.3.3 India
  • 9.3.4 South Korea
  • 9.3.5 Australia
  • 9.3.6 Indonesia
  • 9.3.7 Thailand
  • 9.3.8 Malaysia
  • 9.3.9 Singapore
  • 9.3.10 Vietnam
  • 9.3.11 Rest of Asia Pacific
• 9.4 South America
  • 9.4.1 Brazil
  • 9.4.2 Argentina
  • 9.4.3 Colombia
  • 9.4.4 Chile
  • 9.4.5 Peru
  • 9.4.6 Rest of South America
• 9.5 Rest of the World (RoW)
  • 9.5.1 Middle East
    • 9.5.1.1 Saudi Arabia
    • 9.5.1.2 United Arab Emirates
    • 9.5.1.3 Qatar
    • 9.5.1.4 Israel
    • 9.5.1.5 Rest of Middle East
  • 9.5.2 Africa
    • 9.5.2.1 South Africa
    • 9.5.2.2 Egypt
    • 9.5.2.3 Morocco
    • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

• 10.1 Industry Value Network and Supply Chain Assessment
• 10.2 White-Space and Opportunity Mapping
• 10.3 Product Evolution and Market Life Cycle Analysis
• 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

• 11.1 Mergers and Acquisitions
• 11.2 Partnerships, Alliances, and Joint Ventures
• 11.3 New Product Launches and Certifications
• 11.4 Capacity Expansion and Investments
• 11.5 Other Strategic Initiatives

12 Company Profiles

• 12.1 Amazon
• 12.2 JD.com
• 12.3 Alibaba Group
• 12.4 DHL Group
• 12.5 FedEx Corporation
• 12.6 United Parcel Service (UPS)
• 12.7 SF Express
• 12.8 ZTO Express
• 12.9 Neolix
• 12.10 Coco Robotics
• 12.11 Arrive AI
• 12.12 Starship Technologies
• 12.13 Nuro
• 12.14 Ocado Group
• 12.15 AutoStore
• 12.16 Symbotic
• 12.17 Dematic
• 12.18 Swisslog