자율주행 배송차 시장 규모 : 차량별, 용도별, 자율주행 수준별, 예측(2024-2032년)

Global Autonomous Delivery Vehicles Market will witness over 25% CAGR between 2024 and 2032 due to strategic partnerships between prominent delivery and vehicle companies. These collaborations aim to revolutionize last-mile logistics by integrating autonomous technologies into delivery fleets. For instance, in April 2024, Uber announced that it is expanding its collaboration with autonomous vehicle company Waymo in Phoenix. The company announced that it has begun offering Uber Eats deliveries in Arizona's capital using Waymo vehicles.

Companies like Amazon, UPS, and FedEx are partnering with autonomous vehicle manufacturers to enhance delivery efficiency, reduce costs, and address labor shortages. These partnerships drive innovation in vehicle autonomy, navigation systems, and safety protocols, ensuring reliable and secure delivery operations. As urbanization intensifies and e-commerce grows, the need for efficient, sustainable delivery solutions escalates. Autonomous delivery vehicles offer scalability and flexibility, catering to diverse customer needs while advancing towards environmentally friendly transport solutions. With ongoing advancements and industry alliances, the Autonomous Delivery Vehicles market is poised for significant growth, reshaping the future of logistics worldwide.

The overall Autonomous Delivery Vehicles Industry size is classified based on the vehicle, application, level of autonomy, and region.

The Autonomous Delivery Vehicles market is witnessing increasing demand, particularly from autonomous aerial vehicles (AAVs). AAVs, including drones and unmanned aerial systems to offer efficient delivery solutions for urban and remote areas. Their ability to bypass ground obstacles and traffic congestion ensures swift and reliable delivery of goods. Companies like Amazon Prime Air and UPS Flight Forward are pioneering AAV technologies to enhance logistics efficiency and customer satisfaction. As regulations evolve and technology advances, AAVs are poised to revolutionize the delivery industry, providing scalable and environmentally friendly solutions that meet growing consumer expectations for fast and convenient parcel delivery services.

The Autonomous Delivery Vehicles market is experiencing growing demand for fully autonomous solutions. These vehicles operate without human intervention, navigating urban environments to deliver packages and goods efficiently. Companies like Star Ship Technologies and Nuro are leading the charge with autonomous ground vehicles designed to optimize last-mile logistics. With advancements in artificial intelligence and sensor technology, fully autonomous delivery vehicles promise increased reliability, reduced operational costs, and enhanced scalability. As consumer expectations for faster and more convenient delivery options rise, the market for fully autonomous delivery vehicles continues to expand, reshaping the future of logistics and urban mobility worldwide.

In Europe, there is a rising demand for Autonomous Delivery Vehicles driven by advancements in urban logistics and sustainability goals. Autonomous vehicles offer efficient last-mile delivery solutions, reducing congestion and emissions in cities. Companies like Star Ship Technologies and DHL are piloting autonomous delivery services, enhancing operational efficiency and customer experience. With supportive regulatory frameworks and investments in technology, Europe leads in adopting autonomous delivery solutions, addressing challenges in urban mobility, and enhancing logistics capabilities. The demand for these innovative vehicles underscores Europe's commitment to smart, sustainable transportation solutions that improve efficiency and reduce environmental impact in urban centers.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates and calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimates
• 1.3 Forecast model
• 1.4 Primary research & validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021-2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Delivery service providers
  • 3.2.2 Technology providers
  • 3.2.3 Vehicle manufacturers
  • 3.2.4 End users
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
  • 3.6.1 Partnership/Collaboration
  • 3.6.2 Merger/Acquisition
  • 3.6.3 Investment
  • 3.6.4 Product launch and innovation
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 E-commerce growth across the globe
    • 3.8.1.2 High cost-effectiveness offered by autonomous delivery vehicles
    • 3.8.1.3 Growing urbanization in developing regions
    • 3.8.1.4 Growing technological advancements
• 3.9 Industry pitfalls & challenges
  • 3.9.1.1 Regulatory challenges
  • 3.9.1.2 Infrastructure limitations
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Vehicle, 2021-2032 ($Bn, Units)

• 5.1 Key trends
• 5.2 Autonomous Ground Vehicles (AGVs)
  • 5.2.1 Delivery robots
  • 5.2.2 Vans
  • 5.2.3 Trucks
• 5.3 Autonomous Aerial Vehicles (AAVs)

Chapter 6 Market Estimate & Forecast, By Level of Autonomy, 2021-2032 ($Bn, Units)

• 6.1 Key trends
• 6.2 Semi-autonomous
• 6.3 Fully autonomous

Chapter 7 Market Estimates & Forecast, By Application, 2021-2032 ($Bn, Units)

• 7.1 Key trends
• 7.2 E-commerce
• 7.3 Food delivery
• 7.4 Healthcare
• 7.5 Retail
• 7.6 Postal services
• 7.7 Others

Chapter 8 Market Estimates & Forecast, By Region, 2021-2032 ($Bn, Units)

• 8.1 Key trends
• 8.2 North America
  • 8.2.1 U.S.
  • 8.2.2 Canada
• 8.3 Europe
  • 8.3.1 UK
  • 8.3.2 Germany
  • 8.3.3 France
  • 8.3.4 Italy
  • 8.3.5 Spain
  • 8.3.6 Russia
  • 8.3.7 Nordics
  • 8.3.8 Rest of Europe
• 8.4 Asia Pacific
  • 8.4.1 China
  • 8.4.2 India
  • 8.4.3 Japan
  • 8.4.4 South Korea
  • 8.4.5 ANZ
  • 8.4.6 Southeast Asia
  • 8.4.7 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Argentina
  • 8.5.4 Rest of Latin America
• 8.6 MEA
  • 8.6.1 UAE
  • 8.6.2 Saudi Arabia
  • 8.6.3 South Africa
  • 8.6.4 Rest of MEA

Chapter 9 Company Profiles

• 9.1 Amazon.com, Inc.
• 9.2 Argo AI LLC
• 9.3 Baidu, Inc.
• 9.4 Boxbot, Inc.
• 9.5 Cruise LLC
• 9.6 Einride AB
• 9.7 Gatik AI Inc.
• 9.8 JD.com, Inc.
• 9.9 Kiwibot S.A.S.
• 9.10 Marble Robot, Inc.
• 9.11 Nuro, Inc.
• 9.12 Oxbotica Ltd.
• 9.13 Postmates Inc. (Uber Technologies, Inc.)
• 9.14 Refraction AI Inc.
• 9.15 Robomart Inc.
• 9.16 Starship Technologies Inc.
• 9.17 Tesla, Inc.
• 9.18 Udelv Inc.
• 9.19 Waymo LLC (Alphabet Inc.)
• 9.20 Yandex NV