자율 이동 로봇 시장, 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

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