물류 로봇 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global logistics robots market size is expected to reach USD 51.01 Billion in 2034 from USD 12.55 Billion in 2025, growing at a CAGR of 16.86 during 2026-2034.This market is growing rapidly as industries adopt automation to improve efficiency and reduce operational costs. Logistics robots are used in warehouses and distribution centers for tasks such as picking, sorting, and transportation. The expansion of e-commerce and the need for faster delivery are contributing to market growth.

Growth is supported by advancements in robotics, increasing labor costs, and the expansion of logistics networks. Companies are investing in automated solutions to enhance productivity and accuracy. The integration of AI and machine learning is improving robot capabilities and decision-making. Additionally, the rise of smart warehouses is driving adoption.

Future prospects remain highly promising, with innovation in autonomous systems and collaborative robots. The development of more efficient and flexible robotic solutions will enhance operations. Emerging markets are expected to offer significant growth opportunities due to expanding logistics sectors. As automation becomes a key focus, the logistics robots market is poised for sustained expansion.

Our reports are carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

By Type

• Automated Guided Vehicles
• Autonomous Mobile Robots
• Robot Arms
• Others

By Application

• Palletizing & De-palletizing
• Pick & Place
• Transportation
• Others

By Industry

• E-commerce
• Healthcare
• Retail
• Food & Beverages
• Automotive
• Others

COMPANIES PROFILED

• ABB Ltd, KUKA AG, Toyota Industries Corporation, Fanuc Corporation, Yaskawa Electric Corporation, Kion Group AG, Toshiba Corporation, Krones AG, Kawasaki Heavy Industries Ltd., Omron Corporation

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL LOGISTICS ROBOTS MARKET: BY TYPE 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Type
• 4.2. Automated Guided Vehicles Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Autonomous Mobile Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Robot Arms Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL LOGISTICS ROBOTS MARKET: BY APPLICATION 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Application
• 5.2. Palletizing & De-palletizing Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Pick & Place Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Transportation Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL LOGISTICS ROBOTS MARKET: BY INDUSTRY 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Industry
• 6.2. E-commerce Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Healthcare Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Retail Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Food & Beverages Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL LOGISTICS ROBOTS MARKET: BY REGION 2022-2034 (USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Type
  • 7.2.2 By Application
  • 7.2.3 By Industry
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Type
  • 7.3.2 By Application
  • 7.3.3 By Industry
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Russia
  • 7.3.9 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Type
  • 7.4.2 By Application
  • 7.4.3 By Industry
  • 7.4.4 India
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 Australia
  • 7.4.8 South East Asia
  • 7.4.9 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Type
  • 7.5.2 By Application
  • 7.5.3 By Industry
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Type
  • 7.6.2 By Application
  • 7.6.3 By Industry
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL LOGISTICS ROBOTS INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 ABB Ltd
  • 9.2.2 KUKA AG
  • 9.2.3 Toyota Industries Corporation
  • 9.2.4 Fanuc Corporation
  • 9.2.5 Yaskawa Electric Corporation
  • 9.2.6 Kion Group AG
  • 9.2.7 Toshiba Corporation
  • 9.2.8 Krones AG
  • 9.2.9 Kawasaki Heavy Industries Ltd
  • 9.2.10 Omron Corporation