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 In-Plant Logistics Market to reach USD 23.51 billion by the end of 2030

Global In-Plant Logistics Market Size study & Forecast, by Product (ASRS, Robot, Conveyors & Sortation systems, Cranes, WMS, AGVs, RTLS), by Location (Receiving & Delivery Docks, Assembly/Production Lines, Packaging Workstations, Storage Facilities), by Industry (Automotive, Food & Beverages, Healthcare, Metals & Heavy Machinery, Others) and Regional Analysis, 2023-2030

Product Code: ALTL-39644713
Publish Date: 20-01-2024
Page: 200

Global In-Plant Logistics Market is valued at approximately USD 11.21 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 9.7% during the forecast period 2023-2030. The transportation of raw materials, parts, and subassemblies within a company’s production facility for conversion into completed goods is referred to as “In-Plant Logistics.” For the conversion into the final goods, this can be to/from the line side or the stocking points. In-Plant Logistics also includes managing products once they are finished and leave the manufacturing plant. The In-Plant Logistics Market is expanding owing to factors such as growing demand for effective logistics solutions that support lean manufacturing approach and provide optimal resource usage, Real-time visibility, and traceability of goods within facilities are critical, driving the use of in-plant logistics solutions such as RFID, WMS, and tracking systems. Moreover, cost optimization and the need to navigate complexities in supply chain management are also fueling significant market growth.

Increasing reliance on efficient and streamlined supply chain processes within the manufacturing sector is generating demand for In-Plant Market Industries such as automotive, electronics, pharmaceuticals and consumer goods are recognizing the significance of optimizing their internal logistics to reduce operational costs and enhance productivity. Furthermore, as modern businesses are leaning towards more complex production processes demand for advanced logistics strategies involving a suitable technological approach, material handling and distribution facilities are rising. According to Statista, global e-commerce sales amounted to USD 4.28 trillion in 2020 and were projected to rise at a rate of 8.6%. According to a report by Fortune Business Insights Global semiconductor industry is also poised to rise at a rate of 6.8%. In addition, industries such as Semiconductors, Heavy Metal and Machinery, Consumer And E-Commerce demand modern automation, tracking, and data analytics solutions for In-Plant Logistics, which can produce substantial market opportunities for enterprises operating in this field. However, failure or breakdown of in-plant logistics systems of a company can have a significant impact on a company’s total earnings.

The key regions considered for the Global In-Plant Logistics Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 owing to increased investment in innovative technology and automation aimed at improving operational efficiency. Innovative in-house logistics solutions are actively used in a variety of industries operating in the region, which include automotive, electronics, and consumer goods. As Asia-Pacific’s industries continue to expand and prioritize increased efficiency, the region is poised to drive innovation and take the lead in determining the development of intra-company logistics businesses. North America is expected to significantly during the forecast period (2023-2030) owing to factors such as Technological advancements and establishments of leading companies in the market. Furthermore, favourable government policies is also contributing in the rapid growth of region.

Major market player included in this report are:
Mahindra Logistics Limited
DHL Group
Schenker AG
Hellmann Worldwide Logistics SE & Co. KG
Kintetsu World Express, Inc.
Daifuku Co. Ltd

A.P. Møller – Mærsk A/S

Recent Developments in the Market:
Ø In May 2023, The BEUMER GROUP bought Hendrik Group Inc., a major manufacturer of air-supported belt conveyors with this BEUMER GROUP expanded its offering in the field of bulk material transport as a result of this acquisition.
Ø In March 2023, KUKA announced an improved version of the KMP 600-S diffDrive, expanding the company’s mobile platform portfolio. KUKA KMP 600-S diffDrive mobile platform is an innovative automated guided vehicle system with high-speed capabilities for manufacturing intralogistics. It is ideal for the rigorous industrial production environment, with a maximum payload capacity of 600 kg.

Global In-Plant Logistics 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 – Product, Location, Industry, 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 Product:
Conveyors & Sortation systems

By Location:
Receiving & Delivery Docks
Assembly/Production Lines
Packaging Workstations
Storage Facilities

By Industry:
Food & Beverages
Metals & Heavy Machinery

By Region:

North America


Asia Pacific
South Korea

Latin America

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

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2023-2030 (USD Billion)
1.2.1. In-Plant Logistics Market, by Region, 2023-2030 (USD Billion)
1.2.2. In-Plant Logistics Market, by Product, 2023-2030 (USD Billion)
1.2.3. In-Plant Logistics Market, by Location, 2023-2030 (USD Billion)
1.2.4. In-Plant Logistics Market, by Industry, 2023-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global In-Plant Logistics 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 In-Plant Logistics Market Dynamics
3.1. In-Plant Logistics Market Impact Analysis (2023-2030)
3.1.1. Market Drivers Increasing need for in-plant logistics across multiple industries In-Plant Logistics solutions like RFID, WMS, improves real-time visibility and traceability within facilities. Cost-optimization for complexities in supply chain management
3.1.2. Market Challenges Lost output and income as a result of unplanned equipment outages
3.1.3. Market Opportunities Smart factories and Industry 4.0 spurring digital supply chain adoption E-commerce driving warehouse automation and inventory tracking needs
Chapter 4. Global In-Plant Logistics 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 In-Plant Logistics Market, by Product
5.1. Market Snapshot
5.2. Global In-Plant Logistics Market by Product, Performance – Potential Analysis
5.3. Global In-Plant Logistics Market Estimates & Forecasts by Product 2023-2030 (USD Billion)
5.4. In-Plant Logistics Market, Sub Segment Analysis
5.4.1. ASRS
5.4.2. Robot
5.4.3. Conveyors & Sortation systems
5.4.4. Cranes
5.4.5. WMS
5.4.6. AGVs
5.4.7. RTLS
Chapter 6. Global In-Plant Logistics Market, by Location
6.1. Market Snapshot
6.2. Global In-Plant Logistics Market by Location, Performance – Potential Analysis
6.3. Global In-Plant Logistics Market Estimates & Forecasts by Location 2023-2030 (USD Billion)
6.4. In-Plant Logistics Market, Sub Segment Analysis
6.4.1. Receiving & Delivery Docks
6.4.2. Assembly/Production Lines
6.4.3. Packaging Workstations
6.4.4. Storage Facilities
Chapter 7. Global In-Plant Logistics Market, by Industry
7.1. Market Snapshot
7.2. Global In-Plant Logistics Market by Industry, Performance – Potential Analysis
7.3. Global In-Plant Logistics Market Estimates & Forecasts by Industry 2023-2030 (USD Billion)
7.4. In-Plant Logistics Market, Sub Segment Analysis
7.4.1. Automotive
7.4.2. Food & Beverages
7.4.3. Healthcare
7.4.4. Metals & Heavy Machinery
7.4.5. Aviation
7.4.6. Semiconductor
7.4.7. Others
Chapter 8. Global In-Plant Logistics Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. In-Plant Logistics Market, Regional Market Snapshot
8.4. North America In-Plant Logistics Market
8.4.1. U.S. In-Plant Logistics Market Product breakdown estimates & forecasts, 2023-2030 Location breakdown estimates & forecasts, 2023-2030 Industry breakdown estimates & forecasts, 2023-2030
8.4.2. Canada In-Plant Logistics Market
8.5. Europe In-Plant Logistics Market Snapshot
8.5.1. U.K. In-Plant Logistics Market
8.5.2. Germany In-Plant Logistics Market
8.5.3. France In-Plant Logistics Market
8.5.4. Spain In-Plant Logistics Market
8.5.5. Italy In-Plant Logistics Market
8.5.6. Rest of Europe In-Plant Logistics Market
8.6. Asia-Pacific In-Plant Logistics Market Snapshot
8.6.1. China In-Plant Logistics Market
8.6.2. India In-Plant Logistics Market
8.6.3. Japan In-Plant Logistics Market
8.6.4. Australia In-Plant Logistics Market
8.6.5. South Korea In-Plant Logistics Market
8.6.6. Rest of Asia Pacific In-Plant Logistics Market
8.7. Latin America In-Plant Logistics Market Snapshot
8.7.1. Brazil In-Plant Logistics Market
8.7.2. Mexico In-Plant Logistics Market
8.8. Middle East & Africa In-Plant Logistics Market
8.8.1. Saudi Arabia In-Plant Logistics Market
8.8.2. South Africa In-Plant Logistics Market
8.8.3. Rest of Middle East & Africa In-Plant Logistics 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
9.3.1. BLG LOGISTICS GROUP AG & Co. KG Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Mahindra Logistics Limited
9.3.3. DHL Group
9.3.4. KUKA AG
9.3.5. Schenker AG
9.3.6. Hellmann Worldwide Logistics SE & Co. KG
9.3.7. Kintetsu World Express, Inc.
9.3.8. Daifuku Co. Ltd
9.3.9. KION Group AG
9.3.10. A.P. Møller – Mærsk A/S
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.

Need Assistance

Contact Person -
Krishant Mennon
Call us @
+ 91 99931 15879
Email: sales@bizwitresearch.com


Why Choose Us?

Quality over Quantity

Backed by 60+ paid data sources our reports deliver crisp insights with no compromise quality.

Analyst Support

24x7 Chat Support plus
free analyst hours with every purchase

Flawless Methodology

Our 360-degree approach of market study, our research methods leave stones unturned.
Enquiry Now