Global Automated Material Handling Equipment Market Growth, Share, Size, Trends and Forecast (2024 - 2030)

By Product;

Robots, Automated Storage and Retrieval System (AS/RS) - Unit Load, Mid & Mini Load, Vertical Lift Module (VLM), Carousel, and Shuttle, Conveyors Systems, Sortation Systems, Cranes, Warehouse Management System (WMS), Collaborative Robots, Autonomous Mobile Robots (AMR) - Goods-to-person picking robots, Self-driving Forklifts, Autonomous Inventory Robots, and Unmanned Aerial Vehicles, Automated Guided Vehicle (AGV) - Tow Vehicle, Unit Load Carrier, Pallet Truck, Forklift Truck, Hybrid Vehicles, and Others.

By Vertical;

Aviation and E-commerce.

By System Type;

Unit Load Material Handling and Bulk Load Material Handling.

By Application;

Assembly, Sorting, Labelling, Packaging, Transportation, Distribution, and Storage.

By End User;

Consumer electronics, 3PL, E-Commerce, Food & beverage, Healthcare, Chemical, and Others.

By Geography;

North America, Europe, Asia Pacific, Middle East and Africa, and Latin America - Report Timeline (2020 - 2030).
Report ID: Rn303929557 Published Date: March, 2024 Updated Date: April, 2024

Introduction

Global Automated Material Handling Equipment Market (USD Million), 2020 - 2030

In the year 2023, the Global Automated Material Handling Equipment Market was valued at USD 31,393.61 million. The size of this market is expected to increase to USD 59,636.92 million by the year 2030, while growing at a Compounded Annual Growth Rate (CAGR) of 9.6%.

The demand for automation in diverse industries is a driving force behind the growth of the Automated Material Handling (AMH) equipment market. Businesses are increasingly turning to automation to streamline manufacturing processes, aiming to enhance operational efficiency, trim labor costs, and elevate product quality. Material handling plays a pivotal role in modern production systems, encompassing the movement, storage, and safeguarding of materials and products crucial for ensuring a smooth flow of operations.

Effective material handling systems are indispensable for manufacturing, distribution, consumption, and disposal of goods, exerting a significant impact on overall system performance. Well-designed material handling systems have the potential to curtail labor expenses, minimize equipment outlays, and elevate product quality. By opting for the appropriate equipment types, manufacturers can ensure seamless flow of materials and products across the production spectrum, thereby accelerating production speeds, mitigating risks of damage to materials and products, and enhancing worker safety. Consequently, investment in material handling equipment is deemed essential for any manufacturing or production entity striving to optimize efficiency and streamline operations.

The automated material handling industry stands poised to benefit from the escalating trend toward smart factories. As robotics technology advances, robots have become increasingly agile and precise, enabling them to manipulate workpieces or products creatively and perform a wide array of tasks. Monitoring manufacturing processes, inclusive of picking, sorting, and conveying systems, is imperative for boosting efficiency and curtailing waste. Smart factories, integrated with automated systems, facilitate real-time monitoring of every process. Moreover, the industry is being propelled by intuitive technologies such as cloud-based software, Internet of Things (IoT), and machine learning (ML), enabling real-time data monitoring and analysis to pinpoint inefficiencies and optimize operations.

Cloud-based software is adept at monitoring equipment performance and identifying issues, while IoT sensors facilitate tracking of material and product movements throughout the supply chain. Consequently, the material handling industry is projected to witness sustained growth as manufacturers strive to enhance efficiency and minimize waste through the adoption of smart technologies. Machine learning algorithms further bolster these efforts by optimizing material flow, mitigating bottlenecks, and augmenting system productivity.

  1. Introduction
    1. Research Objectives and Assumptions
    2. Research Methodology
    3. Abbreviations
  2. Market Definition & Study Scope
  3. Executive Summary
    1. Market Snapshot, By Product
    2. Market Snapshot, By Vertical
    3. Market Snapshot, By System Type
    4. Market Snapshot, By Application
    5. Market Snapshot, By End User
    6. Market Snapshot, By Region
  4. Global Automated Material Handling Equipment Market Dynamics
    1. Drivers, Restraints and Opportunities
      1. Drivers
        1. Increasing Demand for Automation

        2. Need to Improve Operational Efficiency

        3. Cost Reduction Initiatives

      2. Restraints
        1. Implementation Challenges

        2. High Initial Investment Costs

        3. Compatibility Issues with Legacy Systems

      3. Opportunities
        1. Integration of Artificial Intelligence (AI) and Machine Learning (ML)

        2. Adoption of Smart Factory Concepts

        3. Technological Advancements and Innovations

    2. PEST Analysis
      1. Political Analysis
      2. Economic Analysis
      3. Social Analysis
      4. Technological Analysis
    3. Porter's Analysis
      1. Bargaining Power of Suppliers
      2. Bargaining Power of Buyers
      3. Threat of Substitutes
      4. Threat of New Entrants
      5. Competitive Rivalry
  5. Market Segmentation
    1. Global Automated Material Handling Equipment Market, By Product, 2020 - 2030 (USD Million)
      1. Robots
      2. Automated Storage and Retrieval System (AS/RS)
        1. Unit Load, Mid & Mini Load
        2. Vertical Lift Module (VLM)
        3. Carousel
        4. Shuttle
      3. Conveyors Systems
      4. Sortation Systems
      5. Cranes
      6. Warehouse Management System (WMS)
      7. Collaborative Robots
      8. Autonomous Mobile Robots (AMR)
        1. Goods-to-person picking robots
        2. Self-driving Forklifts
        3. Autonomous Inventory Robots
        4. Unmanned Aerial Vehicles
      9. Automated Guided Vehicle (AGV)
        1. Tow Vehicle
        2. Unit Load Carrier
        3. Pallet Truck
        4. Forklift Truck
        5. Hybrid Vehicles
        6. Others
  6. Global Automated Material Handling Equipment Market, By Vertical, 2020 - 2030 (USD Million)
    1. Aviation
    2. E-commerce
  7. Global Automated Material Handling Equipment Market, By System Type, 2020 - 2030 (USD Million)
    1. Unit Load Material Handling
    2. Bulk Load Material Handling
  8. Global Automated Material Handling Equipment Market, By Application, 2020 - 2030 (USD Million)
    1. Assembly, Sorting
    2. Labelling
    3. Packaging
    4. Transportation
    5. Distribution
    6. Storage
  9. Global Automated Material Handling Equipment Market, By End User, 2020 - 2030 (USD Million)
    1. Consumer electronics
    2. 3PL
    3. E-Commerce
    4. Food & Beverage
    5. Healthcare
    6. Chemical
    7. Others
  10. Global Automated Material Handling Equipment Market, By Geography, 2020 - 2030 (USD Million)
    1. North America
      1. United States
      2. Canada
    2. Europe
      1. Germany
      2. United Kingdom
      3. France
      4. Italy
      5. Spain
      6. Nordic
      7. Benelux
      8. Rest of Europe
    3. Asia Pacific
      1. Japan
      2. China
      3. India
      4. Australia & New Zealand
      5. South Korea
      6. ASEAN (Association of South East Asian Countries)
      7. Rest of Asia Pacific
    4. Middle East & Africa
      1. GCC
      2. Israel
      3. South Africa
      4. Rest of Middle East & Africa
    5. Latin America
      1. Brazil
      2. Mexico
      3. Argentina
      4. Rest of Latin America
  11. Competitive Landscape
    1. Company Profiles
      1. BEUMER Group GmbH & Co
      2. Daifuku Co., Ltd
      3. Hyster-Yale Materials Handling, Inc.
      4. Fives Group, KUKA AG,, KNAPP Group
      5. Kion Group AG
      6. Schaefer Systems International, Inc.
      7. TGW Logistics Group
      8. Intelligrated
  12. Analyst Views
  13. Future Outlook of the Market

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