세계의 물류 로봇 시장 규모 : 컴포넌트별, 용도별, 업계별, 유형별 예측(2024-2032년)

Global Logistics Robots Market will exhibit over 15% CAGR from 2024 to 2032, driven by the need to address labor shortages and fill gaps in manual labor. According to the U.S. Bureau of Labor Statistics, the workforce shortage in logistics is projected to reach 1.4 million by 2030, exacerbating labor costs and creating a critical need for robotics to fill these gaps effectively.

With rising labor costs and difficulties in finding skilled workers, robotics offer a solution by automating repetitive tasks. This reduces dependency on human labor and mitigates the challenges of hiring and retaining employees. By integrating robotics, companies enhance operational efficiency and ensure consistent productivity. Automation addresses the demand for reliable and cost-effective labor solutions, allowing businesses to scale operations without being hindered by labor shortages or high costs.

The overall logistics robots market is segmented based on component, application, vertical, type, and region.

The hardware segment will showcase a prominent CAGR from 2024 to 2032, due to increased automation needs and efficiency gains. As supply chains become more complex, the ability to streamline operations with advanced hardware becomes crucial. Robotics hardware offers enhanced durability and reliability, meeting the rigorous demands of modern logistics. Additionally, the push for real-time data and analytics drives the need for sophisticated hardware solutions. Companies are adopting robotics to stay competitive and manage growing volumes efficiently, highlighting the growing importance of advanced logistics hardware in optimizing operations.

The healthcare segment will hold a notable logistics robots market share by 2032, because of the need for precision and efficiency. Robotics streamline complex processes such as medication handling, inventory management, and patient care. The healthcare sector's focus on minimizing human error and improving operational accuracy drives the adoption of robotic solutions. Additionally, robots help manage the increasing volume of medical supplies and equipment, reducing the strain on healthcare staff. The focus on enhancing service delivery and patient outcomes will bolster the adoption of logistics robots in healthcare sector.

North America logistics robots market will register a noteworthy CAGR between 2024 and 2032, owing to the advanced technology infrastructure and innovation drive. Companies are adopting robotics to enhance efficiency in warehousing and distribution. The push for automation is driven by the need to manage complex supply chains and meet high consumer expectations for fast delivery. North America's strong focus on improving operational productivity and reducing costs fuels the adoption of robotics. Additionally, government incentives and investments in technology support the expansion of market across the region.

Table of Contents

Chapter 1 Scope & Methodology

• 1.1 Market scope & definition
• 1.2 Base estimates & calculations
• 1.3 Forecast parameters
• 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, 2024 - 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 Technology & innovation landscape
• 3.4 Patent analysis
• 3.5 Key news and initiatives
• 3.6 Regulatory landscape
• 3.7 Impact forces
  • 3.7.1 Growth drivers
    • 3.7.1.1 Rising focus on enhancing operational efficiency
    • 3.7.1.2 Developments in e-commerce sector for picking application at warehouses
    • 3.7.1.3 Advancements in robotics technology
    • 3.7.1.4 Increasing popularity of autonomous warehouses
    • 3.7.1.5 Growing awareness towards sustainability practices in logistics handling
  • 3.7.2 Industry pitfalls & challenges
    • 3.7.2.1 The cost of purchasing and implementing logistics robots is high
    • 3.7.2.2 Employees lack the necessary skills to operate and maintain advanced robotic systems
• 3.8 Growth potential analysis
• 3.9 Porter's analysis
  • 3.9.1 Supplier power
  • 3.9.2 Buyer power
  • 3.9.3 Threat of new entrants
  • 3.9.4 Threat of substitutes
  • 3.9.5 Industry rivalry
• 3.10 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Company market share analysis
• 4.2 Competitive positioning matrix
• 4.3 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 (USD million)

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

Chapter 6 Market Estimates & Forecast, By Type, 2021 - 2032 (USD million)

• 6.1 Key trends
• 6.2 Automated guided vehicles
• 6.3 Autonomous mobile robots
• 6.4 Robot arms
• 6.5 Others

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 (USD million)

• 7.1 Key trends
• 7.2 Palletizing & de-palletizing
• 7.3 Pick & place
• 7.4 Transportation
• 7.5 Others

Chapter 8 Market Estimates & Forecast, By Vertical, 2021 - 2032 (USD million)

• 8.1 Key trends
• 8.2 E-commerce
• 8.3 Healthcare
• 8.4 Retail
• 8.5 Food & beverages
• 8.6 Automotive
• 8.7 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 (USD million)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
• 9.3 Europe
  • 9.3.1 UK
  • 9.3.2 Germany
  • 9.3.3 France
  • 9.3.4 Italy
  • 9.3.5 Spain
  • 9.3.6 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 South Korea
  • 9.4.5 ANZ
  • 9.4.6 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Rest of Latin America
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 Saudi Arabia
  • 9.6.3 South Africa
  • 9.6.4 Rest of MEA

Chapter 10 Company Profiles

• 10.1 ABB Ltd
• 10.2 Amazon
• 10.3 Aramex
• 10.4 Bastian Solutions, LLC
• 10.5 Deutsche Post AG
• 10.6 Fanuc Corporation
• 10.7 Honeywell International Inc.
• 10.8 Kawasaki Heavy Industries Ltd.
• 10.9 Kion Group Ag
• 10.10 Krones AG
• 10.11 KUKA AG
• 10.12 Locus Robotics.
• 10.13 Omron Corporation
• 10.14 Seegrid Corporation
• 10.15 Sidel Group
• 10.16 Swisslog Holding AG
• 10.17 Toshiba Corporation
• 10.18 Toyota Industries Corporation
• 10.19 Universal Robots A/S
• 10.20 Yaskawa Electric Corporation