시장보고서
상품코드
1949171

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

Global Warehouse Robotics Market Size, Share, Trends & Growth Analysis Report 2026-2034

발행일: | 리서치사: Value Market Research | 페이지 정보: 영문 140 Pages | 배송안내 : 1-2일 (영업일 기준)

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

창고용 로봇 시장 규모는 2025년 106억 9,000만 달러에서 2034년에는 489억 3,000만 달러에 달할 것으로 예측되고 있으며, 2026-2034년에 CAGR 18.41%로 성장할 전망입니다.

창고 로봇 시장은 조직이 공급망 업무의 업무 효율성 향상과 인건비 절감을 추구함에 따라 괄목할 만한 성장세를 보이고 있습니다. 창고의 로봇 기술 도입은 피킹, 포장, 분류 등의 업무를 자동화하여 기존의 물류 프로세스를 혁신적으로 변화시키고 있습니다. E-Commerce가 지속적으로 확대됨에 따라 효율적이고 확장 가능한 창고 솔루션에 대한 수요가 매우 중요해지고 있습니다. 제조업체들은 유연성과 적응성을 높이는 첨단 로봇 기술에 투자하여 조직이 변화하는 시장 수요에 빠르게 대응할 수 있도록 지원하고 있습니다.

또한 인공지능(AI)과 머신러닝의 발전은 창고 로봇의 능력에 혁명을 일으키고 있습니다. 이러한 기술을 통해 로봇은 환경으로부터 학습하고, 경로를 최적화하며, 시간이 지남에 따라 성능을 향상시킬 수 있습니다. 조직이 스마트 창고 솔루션을 점점 더 많이 채택함에 따라 자율적으로 작동하고 인간 작업자와 협력할 수 있는 지능형 로봇에 대한 수요가 급증할 것으로 예측됩니다. 이러한 추세는 업무 효율성을 높일 뿐만 아니라 기업이 물류 프로세스의 정확성을 향상시키고 오류를 줄일 수 있게 해줍니다.

또한 지속가능성과 환경적 책임에 대한 관심이 높아지면서 창고 로봇 시장 전망을 형성하고 있습니다. 조직이 탄소발자국을 최소화하고 폐기물을 줄이기 위해 노력하는 가운데, 에너지 절약형 로봇과 지속가능한 관행의 통합은 필수적입니다. 이러한 전환은 환경 친화적 운영을 요구하는 소비자 수요 증가에 부응할 뿐만 아니라, 경쟁 구도에서 기업을 유리한 위치에 놓을 수 있는 기회로 작용합니다. 창고 로봇 시장은 기술 혁신과 지속가능성에 대한 노력을 원동력으로 삼아 업계의 변화에 계속 적응하면서 지속적으로 성장할 것으로 예측됩니다.

목차

제1장 서론

제2장 개요

제3장 시장 변수, 동향, 프레임워크

제4장 세계의 창고용 로봇 시장 : 오퍼레이션별

제5장 세계의 창고용 로봇 시장 : 유형별

제6장 세계의 창고용 로봇 시장 : 최종사용자별

제7장 세계의 창고용 로봇 시장 : 지역별

제8장 경쟁 구도

제9장 기업 개요

KSA 26.03.10

The Warehouse Robotics Market size is expected to reach USD 48.93 Billion in 2034 from USD 10.69 Billion (2025) growing at a CAGR of 18.41% during 2026-2034.

The warehouse robotics market is experiencing significant growth as organizations increasingly seek to enhance operational efficiency and reduce labor costs in their supply chain operations. The adoption of robotics in warehouses is transforming traditional logistics processes, enabling businesses to automate tasks such as picking, packing, and sorting. As e-commerce continues to expand, the demand for efficient and scalable warehouse solutions is becoming paramount. Manufacturers are investing in advanced robotic technologies that enhance flexibility and adaptability, allowing organizations to respond swiftly to changing market demands.

Moreover, advancements in artificial intelligence and machine learning are revolutionizing the capabilities of warehouse robotics. These technologies enable robots to learn from their environment, optimize their routes, and improve their performance over time. As organizations increasingly adopt smart warehouse solutions, the demand for intelligent robotics that can operate autonomously and collaborate with human workers is expected to surge. This trend not only enhances operational efficiency but also allows businesses to improve accuracy and reduce errors in their logistics processes.

Additionally, the increasing focus on sustainability and environmental responsibility is shaping the future of the warehouse robotics market. As organizations seek to minimize their carbon footprint and reduce waste, the integration of energy-efficient robotics and sustainable practices is becoming essential. This shift not only caters to the rising consumer demand for environmentally responsible operations but also positions companies favorably in a competitive landscape. As the warehouse robotics market continues to innovate and adapt to changing industry dynamics, it is set to thrive, driven by technological advancements and a commitment to sustainability.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Operation

  • Pick and Place
  • Assembling and Dissembling
  • Packaging

By Type

  • Automated Guided Vehicles (AGVS)
  • Articulated Robotic Arms
  • Collaborative Robots
  • SCARA Robots
  • Others

By End User

  • Food and Beverage
  • Electronics and Electrical
  • Automotive
  • Others

COMPANIES PROFILED

  • Kawasaki Heavy Industries Ltd, KUKA AG, KION Group, BlueBotics, ABB Ltd, Delta Electronics Inc, HIRATA Corporation, Fanuc, Omron Corporation, Honeywell International Inc

We can customise the report as per your requriements

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 WAREHOUSE ROBOTICS MARKET: BY OPERATION 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Operation
  • 4.2. Pick and Place Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Assembling and Dissembling Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Packaging Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL WAREHOUSE ROBOTICS MARKET: BY TYPE 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Type
  • 5.2. Automated Guided Vehicles (AGVS) Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Articulated Robotic Arms Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Collaborative Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. SCARA Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.6. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL WAREHOUSE ROBOTICS MARKET: BY END USER 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast End User
  • 6.2. Food and Beverage Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Electronics and Electrical Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL WAREHOUSE ROBOTICS 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 Operation
    • 7.2.2 By Type
    • 7.2.3 By End User
    • 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 Operation
    • 7.3.2 By Type
    • 7.3.3 By End User
    • 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 Operation
    • 7.4.2 By Type
    • 7.4.3 By End User
    • 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 Operation
    • 7.5.2 By Type
    • 7.5.3 By End User
    • 7.5.4 Brazil
    • 7.5.5 Argentina
    • 7.5.6 Peru
    • 7.5.7 Chile
    • 7.5.8 South East Asia
    • 7.5.9 Rest of Latin America
  • 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 7.6.1 By Operation
    • 7.6.2 By Type
    • 7.6.3 By End User
    • 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 WAREHOUSE ROBOTICS INDUSTRY

  • 9.1. Top Companies Market Share Analysis
  • 9.2. Company Profiles
    • 9.2.1 Kawasaki Heavy Industries Ltd
    • 9.2.2 KUKA AG
    • 9.2.3 KION Group
    • 9.2.4 BlueBotics
    • 9.2.5 ABB Ltd
    • 9.2.6 Delta Electronics Inc
    • 9.2.7 HIRATA Corporation
    • 9.2.8 Fanuc
    • 9.2.9 Omron Corporation
    • 9.2.10 Honeywell International Inc
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