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Global Logistics Automation Market to reach USD 60.9 billion by the end of 2030.

Global Logistics Automation Market Size study & Forecast, by Component (Hardware, Software, Service), By Function (Inventory and Storage Management, Transportation Logistics), Logistics Type (Sales Logistic, Production Logistic, Recovery Logistics, Procurement Logistics), By Organization Size (Micro, Small And Medium Enterprises (Msme) Large Enterprises ), By Software Application (Inventory Management, Order Management, Yard Management, Shipping Management, Labour Management, Vendor Management, Customer Support, Other Applications), By Vertical (Retail And E-Commerce, Manufacturing, Healthcare and Pharmaceuticals, Food and Beverages, Automotive, Aerospace and Defense, Chemicals, Other Verticals) by and Regional Analysis, 2023-2030

Product Code: ALTL-91519415
Publish Date: 19-06-2023
Page: 200

Global Logistics Automation Market is valued at approximately USD 29.9 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 9.3% over the forecast period 2023-2030. The Logistics Automation Market means the use of advanced technologies and systems to streamline and optimize the processes involved in the transportation, storage, and management of goods, resulting in increased efficiency, cost savings, and improved overall supply chain performance. The Logistics Automation Market is being driven by factors such as the adoption of e-commerce and increasing demand for high-level logistics management.

The inclination of consumer is increasing towards the e-commerce. According to Statista retail e-commerce sales world –wide in 2020 was USD 4,248 billion wihic is rising in 2021by USD 4,938 billion and expected to reach USD 7,391 by 2025. Thus rising in retail e-commerce sales is fueling the growth of the market. In addition to the adoption of automation for cost-cutting in facilities and improving logistics automation technology may create lucrative opportunities for the market. However, the lack of uniform governance standards may hinder the growth of the market.

The key regions considered for the Global Logistics Automation Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the presence of logistics automation solution providers and the government taking appropriate initiatives to promote robust infrastructure. North America is also considered the fastest growing market during the forecasted period due to the rapid implementation modern technology and presence of major players in the region.

Major market player included in this report are:
International Business Machines corporation
Honeywell International Inc.
Jungheinrich AG
Kion Group AG
Knapp AG
Murata Machinery, Ltd.,
SBS Toshiba logistics
Falcon Autotech Pvt. Ltd.
Recent Developments in the Market:
Ø On August 2021, FedEx Ground, a subsidiary of FedEx, introduced an advanced robotics system at its facility in Queens, New York. This AI-enabled robotics system was deployed to effectively manage the high volume of small packages associated with the growing demand in e-commerce delivery. The autonomous robots are capable of independently handling various tasks, including picking, identifying, sorting, collecting, and containerizing small packages on a large scale. This implementation showcases FedEx’s commitment to embracing new innovations to streamline operations and meet the evolving needs of the e-commerce industry.
Global Logistics Automation Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered –Component, Function, Logistics Type, Organization size, Software application, Vertical , Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

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 years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential 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 Component:
By Function:
Inventory and Storage Management
Transportation Logistics
By Logistics Type:
Sales Logistic
Production Logistic
Recovery Logistics
Procurement Logistics
By Organization Size:
Micro , Small and Medium Enterprises (Msme)
Large Enterprises
By Software Application:
Inventory Management
Order Management
Yard Management
Shipping Management
Labor Management
Vendor Management
Customer Support
Other Applications
By vertical:
Retail And E-Commerce
Healthcare and Pharmaceuticals
Food And Beverages
Aerospace and Defense
Other Verticals

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Afri

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Logistics Automation Market, by Region, 2020-2030 (USD Billion)
1.2.2. Logistics Automation Market, by Component, 2020-2030 (USD Billion)
1.2.3. Logistics Automation Market, by Function, 2020-2030 (USD Billion)
1.2.4. Logistics Automation Market, by Logistics Type, 2020-2030 (USD Billion)
1.2.5. Logistics Automation Market, by Organization Size, 2020-2030 (USD Billion)
1.2.6. Logistics Automation Market, by Software Application, 2020-2030 (USD Billion)
1.2.7. Logistics Automation Market, by Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Logistics automation Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Logistics automation Market Dynamics
3.1. Logistics Automation Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Adoption of e-commerce Increasing demand for high level logistics management
3.1.2. Market Challenges The lack of uniform governance standard
3.1.3. Market Opportunities Automation for cost-cutting in facility Improving logistics automation technology
Chapter 4. Global Logistics automation 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
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Logistics Automation Market, by Component
5.1. Market Snapshot
5.2. Global Logistics Automation Market by Component, Performance – Potential Analysis
5.3. Global Logistics Automation Market Estimates & Forecasts by Component 2020-2030 (USD Billion)
5.4. Logistics Automation Market, Sub Segment Analysis
5.4.1. Hardware
5.4.2. Software
5.4.3. Service
Chapter 6. Global Logistics Automation Market, by Function
6.1. Market Snapshot
6.2. Global Logistics Automation Market by Function, Performance – Potential Analysis
6.3. Global Logistics Automation Market Estimates & Forecasts by Function 2020-2030 (USD Billion)
6.4. Logistics Automation Market, Sub Segment Analysis
6.4.1. Inventory and Storage Management
6.4.2. Transportation Logistics
Global Logistics automation Market, by Logistics Type
6.5. Market Snapshot
6.6. Global Logistics Automation Market by Logistics Type , Performance – Potential Analysis
6.7. Global Logistics Automation Market Estimates & Forecasts by Logistics Type 2020-2030 (USD Billion)
6.8. Logistics Automation Market, Sub Segment Analysis
6.8.1. Sales Logistics
6.8.2. Production Logistics
6.8.3. Recovery Logistics
6.8.4. Procurement Logistics
Chapter 7. Global Logistics automation Market, by Organization size
7.1. Market Snapshot
7.2. Global Logistics Automation Market by Organization size, Performance – Potential Analysis
7.3. Global Logistics Automation Market Estimates & Forecasts by Organization size 2020-2030 (USD Billion)
7.4. Logistics Automation Market, Sub Segment Analysis
7.4.1. Micro, Small and Medium Enterprises
7.4.2. Large Enterprise
7.5. Global Logistics automation Market, by Software Application Market Snapshot
7.6. Global Logistics Automation Market by Software Application, Performance – Potential Analysis
7.7. Global Logistics Automation Market Estimates & Forecasts by Software Application 2020-2030 (USD Billion)
7.8. Logistics Automation Market, Sub Segment Analysis
7.8.1. Inventory Management
7.8.2. Order Management
7.8.3. Yard Management
7.8.4. Shipping Management
7.8.5. Labour Management
7.8.6. Vendor Management
7.8.7. Customer Support
7.8.8. Other Application

Global Logistics automation Market, by Vertical Market Snapshot
7.9. Global Logistics Automation Market by Vertical, Performance – Potential Analysis
7.10. Global Logistics Automation Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
7.11. Logistics Automation Market, Sub Segment Analysis
7.11.1. Retail And E Commerce
7.11.2. Manufacturing
7.11.3. Healthcare And Pharmaceutical
7.11.4. Food And Beverages
7.11.5. Automotive
7.11.6. Aerospace And Defence
7.11.7. Chemicals
7.11.8. Other Vertical
Chapter 8. Global Logistics automation Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Logistics Automation Market, Regional Market Snapshot
8.4. North America Logistics Automation Market
8.4.1. U.S. Logistics Automation Market Component breakdown estimates & forecasts, 2020-2030 Function breakdown estimates & forecasts, 2020-2030 Logistics Type breakdown estimates & forecasts, 2020-2030 Organization size breakdown estimates & forecasts, 2020-2030 Software Application breakdown estimates & forecasts, 2020-2030 Vertical breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Logistics Automation Market
8.5. Europe Logistics Automation Market Snapshot
8.5.1. U.K. Logistics Automation Market
8.5.2. Germany Logistics Automation Market
8.5.3. France Logistics Automation Market
8.5.4. Spain Logistics Automation Market
8.5.5. Italy Logistics Automation Market
8.5.6. Rest of Europe Logistics Automation Market
8.6. Asia-Pacific Logistics Automation Market Snapshot
8.6.1. China Logistics Automation Market
8.6.2. India Logistics Automation Market
8.6.3. Japan Logistics Automation Market
8.6.4. Australia Logistics Automation Market
8.6.5. South Korea Logistics Automation Market
8.6.6. Rest of Asia Pacific Logistics Automation Market
8.7. Latin America Logistics Automation Market Snapshot
8.7.1. Brazil Logistics Automation Market
8.7.2. Mexico Logistics Automation Market
8.8. Middle East & Africa Logistics Automation Market
8.8.1. Saudi Arabia Logistics Automation Market
8.8.2. South Africa Logistics Automation Market
8.8.3. Rest of Middle East & Africa Logistics Automation Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.4. International Business Machines corporation Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.4.2. Oracle
9.4.3. Honeywell International inc.
9.4.4. Jungheinrich AG
9.4.5. Kion Group AG
9.4.6. Knapp AG
9.4.7. Meclaux
9.4.8. Mutata Machinery .Ltd
9.4.9. SBS Toshiba logistics
9.4.10. Falcon Autotech Pvt. Ltd.
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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