自主移动机器人市场、机会、成长动力、产业趋势分析与预测，2024-2032

2023 年，全球自主移动机器人市场估值为27 亿美元，预计2024 年至2032 年复合年增长率将超过15%。营运无缝集成，而且具备以下能力：同时运输多个负载，确保最佳效能和效率。

因此，零售商和製造商对自主移动机器人的需求不断增长，旨在实现分类和运输流程自动化，同时实现高营运效率，成为全球自主移动机器人市场成长的主要驱动力。

自主移动机器人领域的当前趋势包括导航和地图绘製的进步、人工智慧和机器学习的结合以及车队管理。 AMR 製造商正在对研发进行大量投资，旨在生产智慧、紧凑且高效的解决方案。人们非常重视整合光达、先进感测器和摄影机，以提高机器的准确性和可靠性。光达和摄影机的协同作用为应对复杂情况和优化性能提供了卓越的解决方案。

全球自主移动机器人产业根据组件、类型、有效负载能力、导航技术、电池类型、应用、最终用途和地区进行分类。

市场依组件分为硬体、软体和服务。到 2032 年，硬体领域预计将超过 35 亿美元。此外，製造商对提高营运效率和解决安全问题的关注进一步推动了硬体领域的成长。

按类型分類的细分市场包括货到人拣选机器人、自动驾驶堆高机、自主盘点机器人和无人机。预计货到人拣货机器人在预测期内的复合年增长率将超过 16%。与同类产品相比，这种类型具有明显的优势，包括更长的运行时间和高密度整合储存。随着全球电子商务产业的蓬勃发展，对快速订单交付和准备的重视日益加强。货到人系统透过将产品直接交付给工人来简化流程，从而缩短週转时间并提高营运效率。

到 2023 年，北美自主移动机器人市场将占总收入的 35% 以上。物流以及电子商务。这些部门寻求最大限度地减少步行时间并提高库存管理准确性。

同样，亚太地区 AMR 市场也受到电子商务繁荣、快速工业自动化以及物流和仓储扩张等趋势的推动。韩国和印度等电子商务产业蓬勃发展的国家，对自动移动机器人的需求将会增加，以简化仓库管理。

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
• 技术和创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 亚太地区新兴的电子商务与零售业
    • 製造业对材料供应的需求不断增长
    • 自主移动机器人在饭店业的应用不断成长
    • 医疗保健产业对清洁和消毒机器人的需求增加
    • 对安全性和检查移动机器人的需求不断增加
  • 产业陷阱与挑战
    • 自主移动机器人成本高
    • AMR 技术整合与部署的挑战
• 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：按组成部分，2021 - 2032 年（百万美元和销售）

• 主要趋势
• 硬体
• 软体和服务

第 6 章：市场估计与预测：按类型划分，2021 年 - 2032 年（百万美元和销售）

• 主要趋势
• 货到人拣选机器人
• 自动驾驶堆高机
• 自主库存机器人
• 无人机

第 7 章：市场估计与预测：按有效负载容量，2021 - 2032 年（百万美元和数量）

• 主要趋势
• 100公斤以下
• 100公斤 - 500公斤
• 超过500公斤

第 8 章：市场估计与预测：按导航技术划分，2021 - 2032 年（百万美元和销售）

• 雷射/光达
• 视觉引导
• 其他的

第 9 章：市场估计与预测：按电池类型，2021 - 2032 年（百万美元和销售）

• 主要趋势
• 铅蓄电池
• 锂离子电池
• 镍基电池
• 其他的

第 10 章：市场估计与预测：按应用分类，2021 - 2032 年（百万美元和销售）

• 主要趋势
• 排序
• 运输
• 集会
• 库存管理
• 其他的

第 11 章：市场估计与预测：按最终用途，2021 - 2032 年（百万美元和销售）

• 主要趋势
• 製造业
• 3PL 和物流
• 电子商务与零售
• 医院
• 款待
• 其他的

第 12 章：市场估计与预测：按地区划分，2021 - 2032 年（百万美元和销售）

• 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 13 章：公司简介

• ABB Robotics
• Amazon Robotics LLC
• Blue Skye Automation
• Geekplus Technology Co Ltd.
• Gideon Brothers
• GreyOrange
• Locus Robotics
• Mobile Industrial Robots
• Omron Group
• OTTO Motors
• ROBOTLAB Inc.
• SoftBank Robotics
• ST Engineering Aethon, Inc
• SuperDroid Robots
• Zebra Fetch Robotics

The Global Autonomous Mobile Robots Market was valued at USD 2.7 billion in 2023 and is projected to grow at over 15% CAGR from 2024 to 2032. Retailers and manufacturers are increasingly adopting advanced transport robots that not only integrate seamlessly with operations but also have the capability to transport multiple loads simultaneously, ensuring peak performance and efficiency.

Consequently, the rising demand for autonomous mobile robots among retailers and manufacturers-aimed at automating sorting and transportation processes while achieving high operational efficiency-stands out as a primary driver for the global growth of the autonomous mobile robots' market.

Current trends in the autonomous mobile robot's landscape include advancements in navigation and mapping, the incorporation of AI and machine learning, and fleet management. AMR manufacturers are channelling significant investments into R&D, aiming to produce smart, compact, and efficient solutions. There's a pronounced focus on integrating LiDAR, advanced sensors, and cameras to enhance machine accuracy and reliability. The synergy of LiDAR and cameras offers a superior solution for navigating complexities and optimizing performance.

The global autonomous mobile robots industry is classified based on component, type, payload capacity, navigation technology, battery type, application, end use and region.

The market is categorized by components into hardware, software, and services. The hardware segment is projected to surpass USD 3.5 billion by 2032. The rising demand for components like LiDAR, ultrasonic sensors, and infrared sensors among robot manufacturers is largely driven by stringent government regulations ensuring labor and public safety. Additionally, manufacturers' focus on boosting operational efficiency and addressing safety concerns further propels the hardware segment's growth.

The market segments by type include goods-to-person picking robots, self-driving forklifts, autonomous inventory robots, and unmanned aerial vehicles. Goods-to-person picking robots are anticipated to witness a CAGR exceeding 16% during the forecast period. This type offers distinct advantages over its counterparts, including enhanced operational uptime and high-density consolidated storage. As the global e-commerce sector surges, the emphasis on swift order delivery and preparation intensifies. Goods-to-person systems streamline the process by delivering products directly to workers, thereby slashing turnaround times and amplifying operational efficiency.

North America autonomous mobile robots market, accounted for over 35% of the total revenue in 2023. The growth is fueled by the rising demand for robots, like Goods-To-Person Picking Robots and Self-Driving Forklifts, across sectors such as manufacturing, 3PL and logistics, and e-commerce. These sectors seek to minimize walk time and enhance inventory management accuracy.

Similarly, Asia-Pacific AMR market is buoyed by trends like the e-commerce boom, swift industrial automation, and the expansion of logistics and warehousing. Countries like South Korea and India, with their burgeoning e-commerce sectors, are set to see a heightened demand for autonomous mobile robots to streamline warehouse management.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definition
• 1.2 Base estimates and 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 Industry 360º synopsis, 2021 - 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 and 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 Emerging e-commerce and retail industry in Asia Pacific
    • 3.8.1.2 Rising demand from the manufacturing industry to supply material
    • 3.8.1.3 Growing application of autonomous mobile robot in hospitality industry
    • 3.8.1.4 Rise in demand for cleaning and disinfection robot across healthcare industry
    • 3.8.1.5 Increasing demand for security and inspection mobile robots
  • 3.8.2 Industry pitfalls and challenges
    • 3.8.2.1 High cost associated with autonomous mobile robot
    • 3.8.2.2 Challenges in integration and deployment of AMR technologies
• 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 and Forecast, By Component, 2021 - 2032 (USD Million and Volume (Units))

• 5.1 Key trends
• 5.2 Hardware
• 5.3 Software and services

Chapter 6 Market Estimates and Forecast, By Type, 2021 - 2032 (USD Million and Volume (Units))

• 6.1 Key trends
• 6.2 Goods-To-Person picking robots
• 6.3 Self-Driving forklifts
• 6.4 Autonomous inventory robots
• 6.5 Unmanned aerial vehicles

Chapter 7 Market Estimates and Forecast, By Payload Capacity, 2021 - 2032 (USD Million and Volume (Units))

• 7.1 Key trends
• 7.2 Below 100 kg
• 7.3 100 kg - 500 kg
• 7.4 More than 500 kg

Chapter 8 Market Estimates and Forecast, By Navigation Technology, 2021 - 2032 (USD Million and Volume (Units))

• 8.1 Laser/LiDAR
• 8.2 Vision guidance
• 8.3 Others

Chapter 9 Market Estimates and Forecast, By Battery Type, 2021 - 2032 (USD Million and Volume (Units))

• 9.1 Key trends
• 9.2 Lead battery
• 9.3 Lithium-Ion battery
• 9.4 Nickel-based battery
• 9.5 Others

Chapter 10 Market Estimates and Forecast, By Application, 2021 - 2032 (USD Million and Volume (Units))

• 10.1 Key Trends
• 10.2 Sorting
• 10.3 Transportation
• 10.4 Assembly
• 10.5 Inventory management
• 10.6 Others

Chapter 11 Market Estimates and Forecast, By End Use, 2021 - 2032 (USD Million and Volume (Units))

• 11.1 Key Trends
• 11.2 Manufacturing
• 11.3 3PL and logistics
• 11.4 E-commerce and retail
• 11.5 Hospital
• 11.6 Hospitality
• 11.7 Others

Chapter 12 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million and Volume (Units))

• 12.1 Key trends
• 12.2 North America
  • 12.2.1 U.S.
  • 12.2.2 Canada
• 12.3 Europe
  • 12.3.1 UK
  • 12.3.2 Germany
  • 12.3.3 France
  • 12.3.4 Italy
  • 12.3.5 Spain
  • 12.3.6 Rest of Europe
• 12.4 Asia Pacific
  • 12.4.1 China
  • 12.4.2 India
  • 12.4.3 Japan
  • 12.4.4 South Korea
  • 12.4.5 ANZ
  • 12.4.6 Rest of Asia Pacific
• 12.5 Latin America
  • 12.5.1 Brazil
  • 12.5.2 Mexico
  • 12.5.3 Rest of Latin America
• 12.6 MEA
  • 12.6.1 UAE
  • 12.6.2 South Africa
  • 12.6.3 Saudi Arabia
  • 12.6.4 Rest of MEA

Chapter 13 Company Profiles

• 13.1 ABB Robotics
• 13.2 Amazon Robotics LLC
• 13.3 Blue Skye Automation
• 13.4 Geekplus Technology Co Ltd.
• 13.5 Gideon Brothers
• 13.6 GreyOrange
• 13.7 Locus Robotics
• 13.8 Mobile Industrial Robots
• 13.9 Omron Group
• 13.10 OTTO Motors
• 13.11 ROBOTLAB Inc.
• 13.12 SoftBank Robotics
• 13.13 ST Engineering Aethon, Inc
• 13.14 SuperDroid Robots
• 13.15 Zebra Fetch Robotics