Automation in Food Warehousing Market Size is valued at US$ 4.2 Bn in 2024 and is predicted to reach US$ 12.0 Bn by the year 2034 at an 11.5% CAGR during the forecast period for 2025-2034.
Automation in warehousing is the process of automating certain processes in a warehouse setting, utilizing machines and technology. Robotics, conveyors, automated guided vehicles (AGVs), warehouse management software (WMS), and automated storage and retrieval systems (AS/RS) are all included in this. In food warehousing, automation seeks to boost productivity, decrease human error, and cut expenses. The increasing need for precise and effective food storage solutions, rising labor costs, and technological developments in automation systems are some of the reasons driving the growth of the food warehousing market's automation sector.
The growing need for operational effectiveness is a major factor in the growth of the food warehousing market. Food warehouses have to meet increased throughput requirements as e-commerce grows and the demand for quick, precise order fulfillment increases. Automated systems have become widely used due to the need to decrease human error, enhance inventory management, and expedite order picking. Additionally, the market for automation in food warehousing is being driven by the increased focus on sustainability and lowering carbon footprints. Automated systems are designed to maximize energy use, reduce waste, and increase productivity.
Some of the Key Players in Automation in Food Warehousing Market:
· Dematic
· Körber AG
· Elettric80 S.p.A.
· Honeywell Intelligrated
· SSI Schäfer
· Murata Machinery
· Vanderlande Industries
· Daifuku Co., Ltd.
· Swisslog Holding AG
· Mecalux
· AutoStore
· Knapp AG
· Blue Yonder (JDA Software)
· Locus Robotics
· Fetch Robotics
· Zebra Technologies
· GreyOrange
· Amazon Robotics
· Symbotic
· Bastian Solutions
The Automation in food warehousing market is segmented by warehouse type, food type, technology type, application, deployment mode, and end-use. By warehouse type, the market is segmented into dry storage warehouses, cold storage warehouses, distribution centers, ambient food warehouses, and fulfillment centers. By food type, the market is segmented into dairy products, fruits & vegetables, packaged & frozen foods, beverages, bakery & confectionery, and meat, poultry & seafood.
By technology type, the market is segmented into warehouse management systems (WMS), automated storage & retrieval systems (AS/RS), automated guided vehicles (AGVs), robotic picking & packing, conveyor & sortation systems, internet of things (IoT) & sensors, drones & aerial monitoring, and artificial intelligence (AI) & machine learning (ML).
By application, the market is segmented into packaging & labeling, inventory management, palletizing & depalletizing, order picking & fulfillment, quality inspection, receiving & shipping, and temperature monitoring. By deployment mode, the market is segmented into cloud-based and on-premises. By end-use, the market is segmented into food manufacturers, e-commerce grocery platforms, third-party logistics providers (3PLs), retail chains & supermarkets, and foodservice distributors.
The cold storage segment led the automation in food warehousing market in 2024. Perishable goods like fruits, vegetables, dairy products, and meat must be kept in cold storage facilities. Product shelf life is increased, and the risk of spoilage is decreased in cold storage warehouses thanks to automation, which guarantees accurate temperature control. Palletizing systems and AS/RS are two examples of technologies that are very helpful in cold storage settings when low temperatures make manual handling difficult. As the worldwide supply chain for perishable commodities grows more intricate, there will likely be a greater need for effective cold storage solutions.
The automated storage & retrieval systems (AS/RS) segment dominated the automation in food warehousing market in 2024. The capacity of AS/RS to automate the placement and retrieval of items, which greatly lowers labor costs and increases storage density, makes them very desirable. These technologies are essential to contemporary warehouse operations, especially in settings where precision and fast throughput are critical. Significant gains in operational effectiveness and space utilization may arise from the adoption of AS/RS.
The market for automation in food warehousing was dominated by North America in 2024. The need for automated warehouses is rising sharply as e-commerce and internet shopping continue to expand. As an increasing number of consumers choose to purchase online, companies must manage high order quantities in a timely and effective manner. Warehouses that can manage inventory and complete orders more quickly are now essential due to the increase in demand. Automated technologies such as automated storage and retrieval systems (ASRS), robotic pickers, and conveyor systems enable process optimization, productivity gains, and the elimination of human labor. Additionally, the high rate of advanced technology adoption and the presence of major industry players are driving growth in the North American food warehouse automation market.
Over the projected period, Asia-Pacific exhibits profitable expansion in the food warehousing automation market. The retail and e-commerce industries in Asia-Pacific are expanding significantly, which is raising demand for effective and affordable food storage solutions. E-commerce is growing quickly in nations like China, Japan, and India, which makes food warehouse automation necessary to manage the growing number of online orders. Furthermore, government initiatives like the Make in India campaign, which encourages infrastructure investment, and the National Logistics Policy, which aims to reduce logistics costs, create an environment that is favorable for the adoption of cutting-edge warehousing technologies, which accelerates the market's rapid growth.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 4.2 Bn |
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Revenue Forecast In 2034 |
USD 12.0 Bn |
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Growth Rate CAGR |
CAGR of 11.5% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Warehouse Type, By Food Type, By Technology Type, By Application, By Deployment Mode, By End-use, and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; Germany; The UK; France; Italy; Spain; Rest of Europe; China; Japan; India; South Korea; Southeast Asia; Rest of Asia Pacific; Brazil; Argentina; Mexico; Rest of Latin America; GCC Countries; South Africa; Rest of the Middle East and Africa |
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Competitive Landscape |
Dematic, Körber AG, Elettric80 S.p.A., Honeywell Intelligrated, SSI Schäfer, Murata Machinery, Vanderlande Industries, Daifuku Co., Ltd., Swisslog Holding AG, Mecalux, AutoStore, Knapp AG, Blue Yonder (JDA Software), Locus Robotics, Fetch Robotics, Zebra Technologies, GreyOrange, Amazon Robotics, Symbotic, and Bastian Solutions |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. Geographic competitive landscape. |
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Pricing and Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Automation in Food Warehousing Market Snapshot
Chapter 4. Global Automation in Food Warehousing Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on Automation in Food Warehousing Market Industry Trends
4.10. Global Automation in Food Warehousing Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. Automation in Food Warehousing Market Segmentation 1: By Warehouse Type, Estimates & Trend Analysis
5.1. Market Share by Warehouse Type, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Warehouse Type:
5.2.1. Cold Storage Warehouses
5.2.2. Ambient Food Warehouses
5.2.3. Dry Storage Warehouses
5.2.4. Distribution Centers
5.2.5. Fulfillment Centers
Chapter 6. Automation in Food Warehousing Market Segmentation 2: By End-User, Estimates & Trend Analysis
6.1. Market Share by End-User, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User:
6.2.1. Food Manufacturers
6.2.2. Retail Chains & Supermarkets
6.2.3. Third-Party Logistics Providers (3PLs)
6.2.4. E-commerce Grocery Platforms
6.2.5. Foodservice Distributors
Chapter 7. Automation in Food Warehousing Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Inventory Management
7.2.2. Order Picking & Fulfillment
7.2.3. Palletizing & Depalletizing
7.2.4. Packaging & Labeling
7.2.5. Receiving & Shipping
7.2.6. Quality Inspection
7.2.7. Temperature Monitoring
Chapter 8. Automation in Food Warehousing Market Segmentation 4: By Food Type, Estimates & Trend Analysis
8.1. Market Share by Food Type, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Food Type:
8.2.1. Dairy Products
8.2.2. Fruits & Vegetables
8.2.3. Meat, Poultry & Seafood
8.2.4. Packaged & Frozen Foods
8.2.5. Bakery & Confectionery
8.2.6. Beverages
Chapter 9. Automation in Food Warehousing Market Segmentation 5: By Deployment Mode, Estimates & Trend Analysis
9.1. Market Share by Deployment Mode, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:
9.2.1. Cloud-Based
9.2.2. On-Premise
Chapter 10. Automation in Food Warehousing Market Segmentation 6: By Technology, Estimates & Trend Analysis
10.1. Market Share by Technology, 2024 & 2034
10.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
10.2.1. Automated Storage & Retrieval Systems (AS/RS)
10.2.2. Conveyor & Sortation Systems
10.2.3. Robotic Picking & Packing
10.2.4. Automated Guided Vehicles (AGVs)
10.2.5. Warehouse Management Systems (WMS)
10.2.6. Internet of Things (IoT) & Sensors
10.2.7. Artificial Intelligence (AI) & Machine Learning (ML)
10.2.8. Drones & Aerial Monitoring
Chapter 11. Automation in Food Warehousing Market Segmentation 7: Regional Estimates & Trend Analysis
11.1. Global Automation in Food Warehousing Market, Regional Snapshot 2024 & 2034
11.2. North America
11.2.1. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.2.1.1. US
11.2.1.2. Canada
11.2.2. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Warehouse Type, 2021-2034
11.2.3. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.2.4. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.2.5. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Food Type, 2021-2034
11.2.6. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.2.7. North America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.3. Europe
11.3.1. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.3.1.1. Germany
11.3.1.2. U.K.
11.3.1.3. France
11.3.1.4. Italy
11.3.1.5. Spain
11.3.1.6. Rest of Europe
11.3.2. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Warehouse Type, 2021-2034
11.3.3. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.3.4. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.3.5. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Food Type, 2021-2034
11.3.6. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.3.7. Europe Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.4. Asia Pacific
11.4.1. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.4.1.1. India
11.4.1.2. China
11.4.1.3. Japan
11.4.1.4. Australia
11.4.1.5. South Korea
11.4.1.6. Hong Kong
11.4.1.7. Southeast Asia
11.4.1.8. Rest of Asia Pacific
11.4.2. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Warehouse Type, 2021-2034
11.4.3. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.4.4. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.4.5. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Food Type, 2021-2034
11.4.6. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.4.7. Asia Pacific Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.5. Latin America
11.5.1. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
11.5.1.1. Brazil
11.5.1.2. Mexico
11.5.1.3. Rest of Latin America
11.5.2. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Warehouse Type, 2021-2034
11.5.3. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.5.4. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.5.5. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Food Type, 2021-2034
11.5.6. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.5.7. Latin America Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
11.6. Middle East & Africa
11.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
11.6.1.1. GCC Countries
11.6.1.2. Israel
11.6.1.3. South Africa
11.6.1.4. Rest of Middle East and Africa
11.6.2. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Warehouse Type, 2021-2034
11.6.3. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
11.6.4. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
11.6.5. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Food Type, 2021-2034
11.6.6. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
11.6.7. Middle East & Africa Automation in Food Warehousing Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
Chapter 12. Competitive Landscape
12.1. Major Mergers and Acquisitions/Strategic Alliances
12.2. Company Profiles
12.2.1. Dematic
12.2.1.1. Business Overview
12.2.1.2. Key Warehouse Type/Service Overview
12.2.1.3. Financial Performance
12.2.1.4. Geographical Presence
12.2.1.5. Recent Developments with Business Strategy
12.2.2. Daifuku Co., Ltd.
12.2.3. Swisslog Holding AG
12.2.4. Honeywell Intelligrated
12.2.5. SSI Schäfer
12.2.6. Murata Machinery
12.2.7. Vanderlande Industries
12.2.8. Knapp AG
12.2.9. Blue Yonder (JDA Software)
12.2.10. Zebra Technologies
12.2.11. GreyOrange
12.2.12. Locus Robotics
12.2.13. Fetch Robotics
12.2.14. Amazon Robotics
12.2.15. Mecalux
12.2.16. AutoStore
12.2.17. Symbotic
12.2.18. Körber AG
12.2.19. Elettric80 S.p.A.
12.2.20. Bastian Solutions
Automation in Food Warehousing Market by Warehouse Type
· Dry Storage Warehouses
· Cold Storage Warehouses
· Distribution Centers
· Ambient Food Warehouses
· Fulfillment Centers
Automation in Food Warehousing Market by Food Type
· Dairy Products
· Fruits & Vegetables
· Packaged & Frozen Foods
· Beverages
· Bakery & Confectionery
· Meat, Poultry & Seafood
Automation in Food Warehousing Market by Technology Type
· Warehouse Management Systems (WMS)
· Automated Storage & Retrieval Systems (AS/RS)
· Automated Guided Vehicles (AGVs)
· Robotic Picking & Packing
· Conveyor & Sortation Systems
· Internet of Things (IoT) & Sensors
· Drones & Aerial Monitoring
· Artificial Intelligence (AI) & Machine Learning (ML)
Automation in Food Warehousing Market by Application
· Packaging & Labeling
· Inventory Management
· Palletizing & Depalletizing
· Order Picking & Fulfillment
· Quality Inspection
· Receiving & Shipping
· Temperature Monitoring
Automation in Food Warehousing Market by Deployment Mode
· Cloud-Based
· On-Premises
Automation in Food Warehousing Market by End-use
· Food Manufacturers
· E-commerce Grocery Platforms
· Third-Party Logistics Providers (3PLs)
· Retail Chains & Supermarkets
· Foodservice Distributors
Automation in Food Warehousing Market by Region
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and Africa
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
