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Global Automated Material Handling Market to reach USD XX billion by 2027.

Global Automated Material Handling (AMH) Market by Product Type (Hardware, Software, Services), Equipment Type (Mobile Robot, Automated Storage and Retrieval System , Automated Conveyor, Palletizer), End-user (Airport, Automotive, Food and Beverage, General Manufacturing, Pharmaceuticals), Regional Forecasts 2021-2027

Product Code: ALTL-29620724
Publish Date: 20-09-2021
Page: 200

Global Automated Material Handling Market is valued approximately at USD XX billion in 2020 and is anticipated to grow with a healthy growth rate of more than 12.7% over the forecast period 2021-2027. Material handling equipment and systems are mechanical devices that move, store, manage, and safeguard materials, products, and goods as they travel through the manufacture, circulation, consumption, and clearing processes. This generates utility through material storage, handling, and control. The primary objectives of these systems are to improve product quality, productivity, and labour safety, as well as to reduce labour expenses, operational costs, and production lead times. The market is driven by the various key factors such as rapid growth of e-commerce sector and incremental technological advancements aiding market growth. For instance, as per Statista, in 2020, retail e-commerce sales amounted to USD 4.28 trillion which was USD 2.38 trillion in 2017. Furthermore, the market is showing positive growth and expected to grow to USD 5.4 trillion in 2022. However, high integration and switching costs, may impede market growth over the forecast period of 2021-2027.

Geographically, Asia Pacific is recorded as dominating region owing to rising e-commerce sales, and the significant presence of technology providers. Also, Asia-Pacific emerged as one of the world’s largest e-commerce hubs. Due to the expanding middle-class population in China, India, and Indonesia, as well as the growing use of mobile devices, the region has seen a significant increase in retail e-commerce. China is responsible for 40% of global retail e-commerce sales.

Major market player included in this report are:
JBT Corporation
Daifuku Co. Ltd.
SSI Schaefer AG
Jungheinrich AG
TGW Logistics Group GmbH
System Logistics S.
Kardex Group
Mecalux SA
KION Group
KNAPP AG

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 Product type:
Hardware
Software
Services
By Equipment Type:
Automated Storage and Retrieval System
Mobile Robots
Automated Conveyor
Palletizer
Sortation System
By End User:
Airport
Automotive
Food And Beverages
Pharmaceuticals
Post And Parcel
Other End Users
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
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Automated Material Handling 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, 2019-2027 (USD Billion)
1.2.1. Automated Material Handling Market, by Region, 2019-2027 (USD Billion)
1.2.2. Automated Material Handling Market, by Product type, 2019-2027 (USD Billion)
1.2.3. Automated Material Handling Market, by Equipment type, 2019-2027 (USD Billion)
1.2.4. Automated Material Handling Market, by End user, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Automated Material Handling 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 Market Dynamics
3.1. Automated Material Handling Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Rapid growth of e-commerce sector
3.1.1.2. Incremental technological advancements aiding market growth
3.1.2. Market Restraint
3.1.2.1. High integration and switching costs
3.1.2.2. High upfront cost of AMH equipment for SMEs
3.1.3. Market Opportunities
3.1.3.1. Digitization of supply chain processes with integration of IoT and AMH equipment
3.1.3.2. Presence of huge intralogistics sector in Southeast Asia
Chapter 4. Global Automated Material Handling 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 (2018-2027)
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
Chapter 5. Global Automated Material Handling Market, by Product type
5.1. Market Snapshot
5.2. Global Automated Material Handling Market by Product type, Performance – Potential Analysis
5.3. Global Automated Material Handling Market Estimates & Forecasts by Product type2018-2027 (USD Billion)
5.4. Automated Material Handling Market , Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Services
Chapter 6. Global Automated Material Handling Market, by Equipment type
6.1. Market Snapshot
6.2. Global Automated Material Handling Market by Equipment type, Performance – Potential Analysis
6.3. Global Automated Material Handling Market Estimates & Forecasts by Equipment type 2018-2027 (USD Billion)
6.4. Automated Material Handling Market , Sub Segment Analysis
6.4.1. Mobile Robot
6.4.2. Automated Storage and Retrieval System
6.4.3. Automated Conveyor
6.4.4. Palletizer
6.4.5. Sortation System
Chapter 7. Global Automated Material Handling Market, by End user
7.1. Market Snapshot
7.2. Global Automated Material Handling Market by End user, Performance – Potential Analysis
7.3. Global Automated Material Handling Market Estimates & Forecasts by End user 2018-2027 (USD Billion)
7.4. Automated Material Handling Market , Sub Segment Analysis
7.4.1. Airport
7.4.2. Automotive
7.4.3. Food And Beverages
7.4.4. General Manufacturing
7.4.5. Pharmaceuticals
Chapter 8. Global Automated Material Handling Market, Regional Analysis
8.1. Automated Material Handling Market , Regional Market Snapshot
8.2. North America Automated Material Handling Market
8.2.1. U.S. Automated Material Handling Market
8.2.1.1. Product type breakdown estimates & forecasts, 2018-2027
8.2.1.2. Equipment type breakdown estimates & forecasts, 2018-2027
8.2.1.3. End user breakdown estimates & forecasts, 2018-2027
8.2.2. Canada Automated Material Handling Market
8.3. Europe Automated Material Handling Market Snapshot
8.3.1. U.K. Automated Material Handling Market
8.3.2. Germany Automated Material Handling Market
8.3.3. France Automated Material Handling Market
8.3.4. Spain Automated Material Handling Market
8.3.5. Italy Automated Material Handling Market
8.3.6. Rest of Europe Automated Material Handling Market
8.4. Asia-Pacific Automated Material Handling Market Snapshot
8.4.1. China Automated Material Handling Market
8.4.2. India Automated Material Handling Market
8.4.3. Japan Automated Material Handling Market
8.4.4. Australia Automated Material Handling Market
8.4.5. South Korea Automated Material Handling Market
8.4.6. Rest of Asia Pacific Automated Material Handling Market
8.5. Latin America Automated Material Handling Market Snapshot
8.5.1. Brazil Automated Material Handling Market
8.5.2. Mexico Automated Material Handling Market
8.6. Rest of The World Automated Material Handling Market
Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. JBT Corporation
9.2.1.1. Key Information
9.2.1.2. Overview
9.2.1.3. Financial (Subject to Data Availability)
9.2.1.4. Product Summary
9.2.1.5. Recent Developments
9.2.2. Daifuku Co. Ltd.
9.2.3. SSI Schaefer AG
9.2.4. Jungheinrich AG
9.2.5. TGW Logistics Group GmbH
9.2.6. System Logistics S.
9.2.7. Kardex Group
9.2.8. Mecalux SA
9.2.9. KION Group
9.2.10. KNAPP AG
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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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