자율형 라스트마일배송 로봇 시장 : 제공별, 범위별, 최종 용도 산업별, 예측(2024-2032년)

Global Autonomous Last Mile Delivery Robots Market size will record a 25% CAGR between 2024 and 2032 due to rising urbanization and the surge in online shopping. Urban areas face congestion and delivery challenges, making autonomous robots an attractive solution. Additionally, businesses seek efficiency and cost reduction in their delivery operations, driving the adoption of these robots. With consumers demanding convenience and quick deliveries, the autonomous last-mile robots industry will expand significantly, providing efficient and cost-effective solutions for the evolving delivery landscape.

For instance, in March 2024, Uber Eats introduced food delivery robots in Japan, starting with Tokyo. This initiative aims to enhance efficiency by using self-driving robots for deliveries, marking a new venture for Uber Eats Japan.

The autonomous last mile delivery robots industry is fragmented based on offerings, range, end-use industry, and region.

The software segment will see a notable surge by 2032, attributed to the crucial role of software in navigation, obstacle avoidance, and route optimization for these robots. Advanced algorithms and AI-powered software enable efficient and safe deliveries. As companies prioritize seamless operations and customer satisfaction, the demand for sophisticated software solutions rises. With a focus on enhancing robot performance and productivity, the software segment will emerge as a key player in shaping the future of autonomous last mile delivery.

The food and beverages segment will amass remarkable autonomous last mile delivery robots market share by 2032, driven by the increasing demand for efficient and contactless delivery solutions in the food industry. Autonomous robots offer quick and reliable delivery of meals, groceries, and beverages, meeting the growing consumer preference for convenience. As restaurants, cafes, and grocery stores adopt these robots to streamline delivery operations, the food and beverages segment will dominate the market, catering to the evolving needs of the industry and consumers alike.

Asia Pacific autonomous last mile delivery robots industry will exhibit a noteworthy CAGR from 2024 to 2032, owing to the region's rapid urbanization, booming e-commerce sector, and innovative tech adoption. Countries like China, Japan, and South Korea are leading the way with the widespread deployment of delivery robots. With a focus on enhancing logistics efficiency and meeting the demands of densely populated urban areas, Asia Pacific will stand as a pivotal contributor to the global autonomous last mile delivery robots market, shaping its future growth trajectory.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definition
• 1.2 Base estimates & calculations
• 1.3 Forecast calculation
• 1.4 Data sources
  • 1.4.1 Primary
  • 1.4.2 Secondary
    • 1.4.2.1 Paid sources
    • 1.4.2.2 Public sources

Chapter 2 Executive Summary

• 2.1 Autonomous last mile delivery robots industry 360 degree synopsis, 2018 - 2032
• 2.2 Business trends
  • 2.2.1 Total addressable market (TAM), 2024-2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Vendor matrix
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news and initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Rapidly growing e-commerce industry
    • 3.8.1.2 Growing urban infrastructure development
    • 3.8.1.3 Technological innovation in last mile robots
    • 3.8.1.4 Consumer demand for faster deliveries
    • 3.8.1.5 Round-the-clock delivery
  • 3.8.2 Industry pitfalls & challenges
    • 3.8.2.1 Constrains efficiency for larger deliveries
    • 3.8.2.2 Short battery lifespan hampers productivity
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
  • 3.10.1 Supplier power
  • 3.10.2 Buyer power
  • 3.10.3 Threat of new entrants
  • 3.10.4 Threat of substitutes
  • 3.10.5 Industry rivalry
• 3.11 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 Offerings, 2018 - 2032 (USD Million and Units)

• 5.1 Key trends
• 5.2 Hardware
• 5.3 Software
• 5.4 Services

Chapter 6 Market Estimates & Forecast, By Range, 2018 - 2032 (USD Million and Units)

• 6.1 Key trends
• 6.2 Short range (< 2 km)
• 6.3 Medium range (2 - 5 km)
• 6.4 Long range (> 5 km)

Chapter 7 Market Estimates & Forecast, By End-Use Industry, 2018 - 2032 (USD Million and Units)

• 7.1 Key trends
• 7.2 E-commerce & retail
• 7.3 Food & beverages
• 7.4 Pharmaceuticals & healthcare
• 7.5 Others

Chapter 8 Market Estimates & Forecast, By Region, 2018 - 2032 (USD Million and 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 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 Rest of Asia Pacific
• 8.5 Latin America
  • 8.5.1 Brazil
  • 8.5.2 Mexico
  • 8.5.3 Rest of Latin America
• 8.6 MEA
  • 8.6.1 UAE
  • 8.6.2 South Africa
  • 8.6.3 Saudi Arabia
  • 8.6.4 Rest of MEA

Chapter 9 Company Profiles

• 9.1 Alibaba Group Holding Ltd.
• 9.2 Alpha Asimov Robotics Company Limited
• 9.3 Amazon, Inc.
• 9.4 JD.com, Inc.
• 9.5 Kiwibot
• 9.6 Newbility Co., Ltd.
• 9.7 Nuro, Inc.
• 9.8 Ottonomy Inc.
• 9.9 Panasonic Corporation
• 9.10 Refraction AI
• 9.11 Robby Technologies
• 9.12 Starship Technologies
• 9.13 Waymo LLC
• 9.14 Yandex LLC