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Bizwit Research & Consulting LLP is a global provider of business intelligence & consulting services. We have a strong primary base of key industry leaders along with the chain of industry analysts to analyze the market trends and its future impact in order to estimates and forecast different business segments and markets. 

Global Automated Material Handling Equipment Market to reach USD XX billion by 2028.

Global Automated Material Handling Equipment Market Size study, By Products (Robots, Automated Storage and Retrieval System (ASRS), Conveyors & Sortation Systems, Cranes, Warehouse Management System (WMS), Automated Guided Vehicle (AGV)), By System Type (Unit Load Material Handling Systems, Bulk Load Material Handling Systems), By Industry (Automotive, Semiconductor & Electronics, Metals & Heavy Machinery, Chemicals, Food & Beverages, E-commerce, Healthcare, Aviation, Third Party Logistics (3PL), Others), and Regional Forecasts 2022-2028

Product Code: OIRIA-40733136
Publish Date: 9-05-2022
Page: 200

Global Automated Material Handling Equipment Market is valued approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2022-2028.

Automated materials handling (AMH) equipment is defined as a variety of automation that decreases or eradicates the requirement for humans to sort material, check-out, check-in, or move totes and bins. The flourishing growth of the e-commerce industry, the growing popularity of AMH equipment among leading industries, the rising need for robotic solutions for warehouse automation, coupled with the increasing labor costs and safety concerns are the primary factors that are surging the global market demand. For instance, as per the India Brand Equity Foundation (IBEF), in 2020, the Indian e-commerce sector was accounted with USD 52.57 billion and the amount is likely to increase and reach USD 350 billion by 2030. Therefore, the rapid growth of the e-commerce industry is stimulating the demand for automated material handling equipment among various end-use applications, which may impel market growth across the globe. However, high integration and switching costs and the unavailability of a skilled workforce to handle system operations impede the growth of the market over the forecast period of 2022-2028. Also, increasing level of order customization and personalization, and digitization of supply chain processes with integration of IoT and AMH equipment are anticipated to act as a catalyzing factor for the market demand during the forecast period.

The key regions considered for the global Automated Material Handling Equipment Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America is the leading region across the world in terms of market share owing to the region being the early adopter of novel technologies, growing e-commerce industry, and presence of the leading market players. Whereas, Asia-Pacific is anticipated to exhibit the highest CAGR over the forecast period 2022-2028. Factors such as the rising awareness related to warehouse automation, increasing industrialization, as well as the growth of the developing countries such as India and China, would create lucrative growth prospects for the Automated Material Handling Equipment Market across the Asia-Pacific region.

Major market players included in this report are:
Daifuku Co., Ltd.
SSI Schaefer GmbH
Toyota Industries Corporation
Honeywell International Inc.
Hyster-Yale Material Handling, Inc.
Hanwha Group
John Bean Technologies Corporation
Murata Machinery, Ltd.
Invia Robotics, Inc.
Meiden America, Inc.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Products
Robots
Automated Storage and Retrieval System (ASRS)
Conveyors & Sortation Systems
Cranes
Warehouse Management System (WMS)
Automated Guided Vehicle (AGV)
By System Type
Unit Load Material Handling Systems
Bulk Load Material Handling Systems
By Industry
Automotive
Semiconductor & Electronics
Metals & Heavy Machinery
Chemicals
Food & Beverages
E-commerce
Healthcare
Aviation
Third Party Logistics (3PL)
Others
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019, 2020
Base year – 2021
Forecast period – 2022 to 2028

Target Audience of the Global Automated Material Handling Equipment Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2028 (USD Billion)
1.2.1. Global Automated Material Handling Equipment Market, by Region, 2020-2028 (USD Billion)
1.2.2. Global Automated Material Handling Equipment Market, by Products, 2020-2028 (USD Billion)
1.2.3. Global Automated Material Handling Equipment Market, by System Type, 2020-2028 (USD Billion)
1.2.4. Global Automated Material Handling Equipment Market, by Industry, 2020-2028 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automated Material Handling Equipment Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Automated Material Handling Equipment Market Dynamics
3.1. Automated Material Handling Equipment Market Impact Analysis (2020-2028)
3.1.1. Market Drivers
3.1.1.1. Growing popularity of AMH equipment among leading industries
3.1.1.2. Increasing labor costs and safety concerns
3.1.2. Market Challenges
3.1.2.1. High integration and switching costs
3.1.2.2. Unavailability of skilled workforce to handle system operations
3.1.3. Market Opportunities
3.1.3.1. Increasing level of order customization and personalization
3.1.3.2. Digitization of supply chain processes with integration of IoT and AMH equipment
Chapter 4. Global Automated Material Handling Equipment Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2028)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
4.5. Top investment opportunity
4.6. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1.1. Assessment of the overall impact of COVID-19 on the industry
5.1.2. Pre COVID-19 and post COVID-19 market scenario
Chapter 6. Global Automated Material Handling Equipment Market, by Products
6.1. Market Snapshot
6.2. Global Automated Material Handling Equipment Market by Products, Performance – Potential Analysis
6.3. Global Automated Material Handling Equipment Market Estimates & Forecasts by Products 2018-2028 (USD Billion)
6.4. Automated Material Handling Equipment Market, Sub Segment Analysis
6.4.1. Robots
6.4.2. Automated Storage and Retrieval System (ASRS)
6.4.3. Conveyors & Sortation Systems
6.4.4. Cranes
6.4.5. Warehouse Management System (WMS)
6.4.6. Automated Guided Vehicle (AGV)
Chapter 7. Global Automated Material Handling Equipment Market, by System Type
7.1. Market Snapshot
7.2. Global Automated Material Handling Equipment Market by System Type, Performance – Potential Analysis
7.3. Global Automated Material Handling Equipment Market Estimates & Forecasts by System Type 2018-2028 (USD Billion)
7.4. Automated Material Handling Equipment Market, Sub Segment Analysis
7.4.1. Unit Load Material Handling Systems
7.4.2. Bulk Load Material Handling Systems
Chapter 8. Global Automated Material Handling Equipment Market, by Industry
8.1. Market Snapshot
8.2. Global Automated Material Handling Equipment Market by Industry, Performance – Potential Analysis
8.3. Global Automated Material Handling Equipment Market Estimates & Forecasts by Industry 2018-2028 (USD Billion)
8.4. Automated Material Handling Equipment Market, Sub Segment Analysis
8.4.1. Automotive
8.4.2. Semiconductor & Electronics
8.4.3. Metals & Heavy Machinery
8.4.4. Chemicals
8.4.5. Food & Beverages
8.4.6. E-commerce
8.4.7. Healthcare
8.4.8. Aviation
8.4.9. Third Party Logistics (3PL)
8.4.10. Others
Chapter 9. Global Automated Material Handling Equipment Market, Regional Analysis
9.1. Automated Material Handling Equipment Market, Regional Market Snapshot
9.2. North America Automated Material Handling Equipment Market
9.2.1. U.S. Automated Material Handling Equipment Market
9.2.1.1. Products estimates & forecasts, 2018-2028
9.2.1.2. System Type estimates & forecasts, 2018-2028
9.2.1.3. Industry estimates & forecasts, 2018-2028
9.2.2. Canada Automated Material Handling Equipment Market
9.3. Europe Automated Material Handling Equipment Market Snapshot
9.3.1. U.K. Automated Material Handling Equipment Market
9.3.2. Germany Automated Material Handling Equipment Market
9.3.3. France Automated Material Handling Equipment Market
9.3.4. Spain Automated Material Handling Equipment Market
9.3.5. Italy Automated Material Handling Equipment Market
9.3.6. Rest of Europe Automated Material Handling Equipment Market
9.4. Asia-Pacific Automated Material Handling Equipment Market Snapshot
9.4.1. China Automated Material Handling Equipment Market
9.4.2. India Automated Material Handling Equipment Market
9.4.3. Japan Automated Material Handling Equipment Market
9.4.4. Australia Automated Material Handling Equipment Market
9.4.5. South Korea Automated Material Handling Equipment Market
9.4.6. Rest of Asia Pacific Automated Material Handling Equipment Market
9.5. Latin America Automated Material Handling Equipment Market Snapshot
9.5.1. Brazil Automated Material Handling Equipment Market
9.5.2. Mexico Automated Material Handling Equipment Market
9.6. Rest of The World Automated Material Handling Equipment Market

Chapter 10. Competitive Intelligence
10.1. Top Market Strategies
10.2. Company Profiles
10.2.1. Daifuku Co., Ltd.
10.2.1.1. Key Information
10.2.1.2. Overview
10.2.1.3. Financial (Subject to Data Availability)
10.2.1.4. Product Summary
10.2.1.5. Recent Developments
10.2.2. SSI Schaefer GmbH
10.2.3. Toyota Industries Corporation
10.2.4. Honeywell International Inc.
10.2.5. Hyster-Yale Material Handling, Inc.
10.2.6. Hanwha Group
10.2.7. John Bean Technologies Corporation
10.2.8. Murata Machinery, Ltd.
10.2.9. Invia Robotics, Inc.
10.2.10. Meiden America, Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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