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市场调查报告书
商品编码
1462572

自主最后一哩送货机器人市场 - 按产品(硬体、软体、服务)、范围(短程(<2 公里)、中程(2 - 5 公里)、长程(>5 公里))、以最终用途2024 - 2032 年产业与预测

Autonomous Last Mile Delivery Robots Market - By Offerings (Hardware, Software, Services), By Range (Short Range (<2 km), Medium Range (2 - 5 km), Long Range (>5 km)), By End-use Industry & Forecast, 2024 - 2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 200 Pages | 商品交期: 2-3个工作天内

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简介目录

由于城市化进程的加速和线上购物的激增,2024 年至 2032 年间,全球自主最后一哩配送机器人市场规模将创下 25% 的CAGR。城市地区面临拥挤和送货挑战,这使得自主机器人成为一个有吸引力的解决方案。此外,企业寻求提高送货业务的效率并降低成本,从而推动了这些机器人的采用。随着消费者要求便利和快速的送货,自动最后一英里机器人行业将显着扩张,为不断发展的送货环境提供高效且具有成本效益的解决方案。

例如,2024 年 3 月,Uber Eats 从东京开始在日本推出送餐机器人。该倡议旨在透过使用自动驾驶机器人进行送货来提高效率,标誌着 Uber Eats Japan 的一项新业务。

自主最后一哩送货机器人产业根据产品、范围、最终用途产业和地区而分散。

到 2032 年,软体领域将显着成长,这归因于软体在这些机器人的导航、避障和路线优化方面的关键作用。先进的演算法和人工智慧驱动的软体可实现高效、安全的交付。随着公司优先考虑无缝营运和客户满意度,对复杂软体解决方案的需求不断增加。软体部门专注于提高机器人性能和生产力,将成为塑造自动最后一哩交付未来的关键参与者。

由于食品业对高效、非接触式配送解决方案的需求不断增长,到 2032 年,食品和饮料领域将累积显着的自动最后一哩配送机器人市场份额。自主机器人可以快速可靠地运送餐点、杂货和饮料,满足消费者对便利性日益增长的偏好。随着餐厅、咖啡馆和杂货店采用这些机器人来简化送货操作,食品和饮料领域将主导市场,满足产业和消费者不断变化的需求。

由于该地区快速的城市化、蓬勃发展的电子商务产业和创新技术的采用,亚太地区自动最后一哩配送机器人产业将在 2024 年至 2032 年呈现出显着的复合CAGR。中国、日本和韩国等国家在广泛部署送货机器人方面处于领先地位。亚太地区专注于提高物流效率并满足人口稠密城市地区的需求,将成为全球自主最后一哩外送机器人市场的关键贡献者,塑造其未来的成长轨迹。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 快速发展的电子商务产业
      • 不断发展的城市基础设施
      • 最后一哩机器人的技术创新
      • 消费者对更快送货的需求
      • 全天候交付
    • 产业陷阱与挑战
      • 限制了大规模交付的效率
      • 电池寿命短会影响生产力
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按产品划分,2018 年 - 2032 年

  • 主要趋势
  • 硬体
  • 软体
  • 服务

第 6 章:市场估计与预测:按范围划分,2018 年 - 2032 年

  • 主要趋势
  • 短距离(< 2 公里)
  • 中程(2 - 5 公里)
  • 长距离(> 5公里)

第 7 章:市场估计与预测:依最终用途产业,2018 - 2032 年

  • 主要趋势
  • 电子商务与零售
  • 食品和饮料
  • 製药和医疗保健
  • 其他的

第 8 章:市场估计与预测:按地区,2018 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯
    • MEA 的其余部分

第 9 章:公司简介

  • Alibaba Group Holding Ltd.
  • Alpha Asimov Robotics Company Limited
  • Amazon, Inc.
  • JD.com, Inc.
  • Kiwibot
  • Newbility Co., Ltd.
  • Nuro, Inc.
  • Ottonomy Inc.
  • Panasonic Corporation
  • Refraction AI
  • Robby Technologies
  • Starship Technologies
  • Waymo LLC
  • Yandex LLC
简介目录
Product Code: 8295

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