自主移動機器人市場、機會、成長動力、產業趨勢分析與預測，2024-2032

2023 年，全球自主移動機器人市場估值為27 億美元，預計2024 年至2032 年複合年成長率將超過15%。營運無縫整合，而且具備以下能力：同時運輸多個負載，確保最佳效能和效率。

因此，零售商和製造商對自主移動機器人的需求不斷成長，旨在實現分類和運輸流程自動化，同時實現高營運效率，成為全球自主移動機器人市場成長的主要驅動力。

自主移動機器人領域的當前趨勢包括導航和地圖繪製的進步、人工智慧和機器學習的結合以及車隊管理。 AMR 製造商正在對研發進行大量投資，旨在生產智慧、緊湊且高效的解決方案。人們非常重視整合LiDAR、先進感測器和攝影機，以提高機器的準確性和可靠性。LiDAR和攝影機的協同作用為應對複雜情況和最佳化性能提供了卓越的解決方案。

全球自主移動機器人產業根據組件、類型、有效負載能力、導航技術、電池類型、應用、最終用途和地區進行分類。

市場依組件分為硬體、軟體和服務。到 2032 年，硬體領域預計將超過 35 億美元。此外，製造商對提高營運效率和解決安全問題的關注進一步推動了硬體領域的成長。

按類型分類的細分市場包括貨到人揀選機器人、自動駕駛堆高機、自主盤點機器人和無人機。預計貨到人揀貨機器人在預測期內的複合年成長率將超過 16%。與同類產品相比，這種類型具有明顯的優勢，包括更長的運行時間和高密度整合儲存。隨著全球電子商務產業的蓬勃發展，對快速訂單交付和準備的重視日益加強。貨到人系統透過將產品直接交付給工人來簡化流程，從而縮短週轉時間並提高營運效率。

到 2023 年，北美自主移動機器人市場將佔總收入的 35% 以上。物流以及電子商務。這些部門尋求最大限度地減少步行時間並提高庫存管理準確性。

同樣，亞太地區 AMR 市場也受到電子商務繁榮、快速工業自動化以及物流和倉儲擴張等趨勢的推動。韓國和印度等電子商務產業蓬勃發展的國家，對自動移動機器人的需求將會增加，以簡化倉庫管理。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

• 產業生態系統分析
• 供應商矩陣
• 利潤率分析
• 技術和創新格局
• 專利分析
• 重要新聞和舉措
• 監管環境
• 衝擊力
  • 成長動力
    • 亞太地區新興的電子商務與零售業
    • 製造業對材料供應的需求不斷成長
    • 自主移動機器人在飯店業的應用不斷成長
    • 醫療保健產業對清潔和消毒機器人的需求增加
    • 對安全性和檢查移動機器人的需求不斷增加
  • 產業陷阱與挑戰
    • 自主移動機器人成本高
    • AMR 技術整合與部署的挑戰
• 成長潛力分析
• 波特的分析
• PESTEL分析

第 4 章：競爭格局

• 介紹
• 公司市佔率分析
• 競爭定位矩陣
• 戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 硬體
• 軟體和服務

第 6 章：市場估計與預測：按類型分類，2021 年 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 貨到人揀選機器人
• 自動駕駛堆高機
• 自主庫存機器人
• 無人機

第 7 章：市場估計與預測：按有效負載容量，2021 - 2032 年（百萬美元和數量）

• 主要趨勢
• 100公斤以下
• 100公斤 - 500公斤
• 超過500公斤

第 8 章：市場估計與預測：按導航技術分類，2021 - 2032 年（百萬美元和銷售）

• 雷射/LiDAR
• 視覺引導
• 其他

第 9 章：市場估計與預測：按電池類型，2021 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 鉛蓄電池
• 鋰離子電池
• 鎳基電池
• 其他

第 10 章：市場估計與預測：按應用分類，2021 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 排序
• 運輸
• 集會
• 庫存管理
• 其他

第 11 章：市場估計與預測：按最終用途，2021 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 製造業
• 3PL 和物流
• 電子商務與零售
• 醫院
• 款待
• 其他

第 12 章：市場估計與預測：按地區分類，2021 - 2032 年（百萬美元和銷售）

• 主要趨勢
• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 英國
  • 德國
  • 法國
  • 義大利
  • 西班牙
  • 歐洲其他地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳新銀行
  • 亞太地區其他地區
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 拉丁美洲其他地區
• MEA
  • 阿拉伯聯合大公國
  • 南非
  • 沙烏地阿拉伯
  • MEA 的其餘部分

第 13 章：公司簡介

• 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