US Warehouse Automation Market Size, Trends and Insights By Automation Type (Automated Storage and Retrieval Systems (AS/RS), Automated Guided Vehicles (AGVs), Conveyor Systems, Sortation Systems, Robotics Systems, Shuttle Systems), By Function (Storage and Retrieval, Transportation, Sorting, Picking, Packing, Palletizing and Depalletizing), By Component (Hardware, Software, Services), By Deployment Mode (On-Premises, Cloud-Based), By Operation Mode (Fully-Automated, Semi-Automated), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Report Snapshot
Study Period: | 2024-2033 |
Fastest Growing Market: | USA |
Largest Market: | USA |
Major Players
- Honeywell Intelligrated
- Dematic (KION Group)
- Swisslog (KUKA AG)
- Daifuku Co. Ltd.
- SSI Schaefer
- Others
Reports Description
As per the current market research conducted by the CMI Team, the US Warehouse Automation Market is expected to record a CAGR of 10.32% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 7.12 Billion. By 2033, the valuation is anticipated to reach USD 17.23 Billion.
The US warehouse automation market has been experiencing significant growth, driven by various factors such as the rapid expansion of e-commerce, advancements in technology, and increasing demand for efficiency and accuracy in warehouse operations.
The market experienced significant growth, with cloud technology playing a pivotal role in driving advancements and efficiencies. Cloud-based solutions offer numerous benefits that have revolutionized warehouse operations and are increasingly being adopted by businesses across various industries. Cloud technology provides unmatched scalability, allowing businesses to adjust their warehouse operations in response to fluctuating demand.
This flexibility is particularly beneficial during peak seasons or unexpected surges in orders, as cloud-based systems can easily scale up or down without the need for significant capital investment in physical infrastructure. Also, one of the key advantages of cloud technology is the ability to collect, store, and analyze vast amounts of data in real time. This data-driven approach enables warehouse managers to monitor operations closely, identify inefficiencies, and make informed decisions.
Warehouse Automation Market – Significant Growth Factors
The warehouse automation market presents significant growth opportunities due to several factors:
- Increasing Demand for Efficiency: As consumer expectations for fast and accurate order fulfilment rise, businesses are turning to warehouse automation to enhance operational efficiency. Automated systems can streamline processes, reduce errors, and improve order accuracy, making them an attractive investment for companies aiming to meet these high standards.
- E-commerce Boom: The rapid growth of e-commerce has created a surge in demand for automated warehouses. With the need for quicker processing and dispatching of online orders, automation solutions are essential for managing large volumes of goods and ensuring timely deliveries.
- Labor Shortages and Cost Savings: Rising labour costs and shortages are driving companies to adopt automation to reduce dependency on human labour. Automated systems can operate around the clock without the need for breaks, holidays, or shifts, providing consistent productivity and significant cost savings over time.
- Technological Advancements: Innovations in robotics, AI, IoT, and cloud computing are enhancing the capabilities of warehouse automation systems. These advancements enable more sophisticated and flexible solutions, allowing warehouses to adapt to changing demands and improve overall performance.
- Customization and Flexibility: Modern warehouse automation solutions offer customizable and scalable options that can be tailored to the specific needs of different industries. This flexibility allows businesses to implement automation incrementally and adapt systems as their operations grow or change.
- Sustainability and Eco-friendly Practices: There is a growing emphasis on sustainable and eco-friendly practices within the supply chain. Automated warehouses can contribute to sustainability efforts by optimizing space utilization, reducing energy consumption, and minimizing waste through more efficient operations.
- Urbanization and Infrastructure Development: Rapid urbanization and the development of modern infrastructure in major cities create opportunities for automated warehouses to serve densely populated areas efficiently. This proximity to urban centres reduces transportation costs and delivery times.
- Lower Barriers to Entry: The declining cost of automation technologies makes it more accessible for small and medium-sized enterprises (SMEs) to invest in automated solutions. This democratization of technology allows a broader range of businesses to benefit from the advantages of warehouse automation.
- Enhanced Data Analytics and Decision Making: Automated warehouses equipped with advanced sensors and data collection tools provide valuable insights into operations. This data can be analyzed to optimize workflows, predict maintenance needs, and improve decision-making processes.
- Integration with Digital Platforms: The integration of warehouse automation with digital platforms and enterprise systems enhances overall supply chain visibility and coordination. Real-time data sharing and collaboration across different stages of the supply chain improve efficiency and responsiveness.
Warehouse Automation Market – Partnerships
The warehouse automation market has seen several Partnerships in recent years, with companies seeking to expand their market presence and leverage synergies to improve their product offerings and profitability. Some notable examples of partnerships in the warehouse automation market include:
- In May 2024, Geekplus, a mobile robot and smart logistics solution, partnered with Blueskye Automation to deploy a fully automated smart warehouse solution powered by the Geekplus suite of Goods-to-Person mobile robots for a Georgia-based 3PL. The initial deployment helped a 3PL specializing in the e-commerce and wholesale fulfillment business meet ballooning e-commerce sales and navigate severe labor shortages.
- In February 2024, Movu Robotics, a provider of warehouse automation solutions, announced a strategic partnership with supply chain integration company peaklogix, an Alta Material Handling company. Through this partnership, Movu Robotics and peaklogix can offer the benefits of Movu’s plug-and-play robotics portfolio as part of their solutions for customers in the North American market.
- In January 2024, Honeywell announced a partnership with Hai Robotics to deliver flexible, high-density storage and retrieval solutions to distribution centers (DCs). The alliance couples Hai’s innovative robotics technology with Honeywell’s Momentum Warehouse Execution Software enhanced cybersecurity capabilities and experience integrating robotics solutions. Additionally, it supports Honeywell’s portfolio alignment to three compelling megatrends: automation, the future of aviation and energy transition.
These partnerships helped companies expand their product offerings, improve their market presence, and capitalize on growth opportunities in the warehouse automation market. The trend is expected to continue as companies seek to gain a competitive edge in the market.
COMPARATIVE ANALYSIS OF THE RELATED MARKET
Warehouse Automation Market | Radiometric Dating Machine Market | In-Flight Entertainment and Connectivity Market |
CAGR 10.32% (Approx) | CAGR 7.7% (Approx) | CAGR 7.8% (Approx) |
USD 17.23 Billion by 2033 | USD 3.6 Billion by 2033 | USD 12,337.4 Million by 2033 |
Warehouse Automation Market – Significant Threats
The warehouse automation market faces several significant threats that could impact its growth and profitability in the future. Some of these threats include:
- Growing Online Retail and Fulfilment Services: The rise of online retail and fulfilment platforms has reshaped consumer behaviour, leading to increased demand for quick, on-demand order processing and delivery. This shift places pressure on warehouse automation providers to continually innovate and keep up with the fast-paced e-commerce environment, potentially increasing operational costs and complexity.
- Higher Competition from Established Players: Warehouse automation companies now contend not only with new market entrants but also with established players that have long-standing relationships and advanced technological solutions. This heightened competition makes it harder for new or smaller companies to attract and retain clients, and to gain a significant market share.
- Seasonal and Demand Fluctuations: Warehouse operations are often influenced by seasonal peaks and fluctuations in consumer demand, such as during holiday seasons. These fluctuations can lead to challenges in scaling automation solutions to meet varying levels of demand without incurring excessive costs or underutilizing resources during off-peak periods.
- High Initial Investment and Operational Costs: The implementation of warehouse automation systems requires significant upfront investment in hardware, software, and infrastructure. These high initial costs can be a barrier to adoption, especially for small and medium-sized enterprises (SMEs) that may struggle to secure the necessary capital or justify the expenditure.
- Technological Obsolescence and Integration Challenges: Rapid advancements in technology can render existing automation solutions obsolete, necessitating frequent upgrades and integration of new systems. This ongoing need for technological updates and compatibility with existing infrastructure can be costly and complex, posing a risk to long-term operational stability.
- Workforce Adaptation and Training: The shift to automated systems requires a workforce that is skilled in operating and maintaining advanced technologies. Ensuring that employees are adequately trained and can adapt to new automation systems can be a challenge, particularly in industries with high turnover rates or limited access to technical education.
- Cybersecurity and Data Privacy Concerns: As warehouse automation systems become increasingly reliant on IoT devices and cloud-based platforms, the risk of cybersecurity breaches and data privacy issues grows. Protecting sensitive data and ensuring robust cybersecurity measures are in place is critical to maintaining client trust and operational integrity.
Category-Wise Insights:
By Automation Type
- Automated Storage and Retrieval Systems (AS/RS): These systems automate the placement and retrieval of items in storage locations, using equipment like cranes and shuttles. They enhance inventory management and space utilization.
- Automated Guided Vehicles (AGVs): AGVs are mobile robots that transport materials around a warehouse. They follow predefined paths and can handle tasks like pallet movement and material transportation.
- Conveyor Systems: Conveyors transport goods through a warehouse. They can be used for various tasks, such as moving products between different stages of processing or sorting.
- Sortation Systems: These systems automatically sort products based on specific criteria (e.g., destination, size, or type). They are essential in high-throughput environments like distribution centers.
- Robotics Systems: Robotics in warehouses include robotic arms and mobile robots that can perform tasks such as picking, packing, and palletizing, enhancing efficiency and accuracy.
- Shuttle Systems: Shuttle systems are automated vehicles that move along tracks to store and retrieve items from storage racks. They are faster and more flexible compared to traditional AS/RS.
By Function
- Storage and Retrieval: Automation systems that focus on the efficient storage and retrieval of goods. This includes AS/RS, which maximizes space utilization and speeds up access to inventory.
- Transportation: Systems designed to move goods within the warehouse, such as AGVs and conveyors. They help reduce manual handling and speed up the movement of items.
- Sorting: Automated sorting systems classify and direct products to different locations based on predefined criteria. They are crucial for order fulfilment and distribution.
- Picking: Automated picking systems use robots or other technologies to select items from inventory to fulfil orders. This improves speed and accuracy in order processing.
- Packing: Automation in packing involves systems that prepare products for shipment, including wrapping, boxing, and labelling. This enhances packing efficiency and accuracy.
- Palletizing and Depalletizing: Automated systems that stack products onto pallets (palletizing) or remove them from pallets (depalletizing). This reduces manual labor and speeds up these processes.
By Component
- Hardware: it involves the physical equipment and machinery used in automated warehouses, such as conveyor systems, automated guided vehicles (AGVs), robotic arms, and storage and retrieval systems. This component is crucial for executing physical tasks and enhancing operational efficiency.
- Software: it involves the programs and applications that control and manage warehouse operations. These include warehouse management systems (WMS), warehouse control systems (WCS), and enterprise resource planning (ERP) systems, which coordinate activities, optimize processes, and ensure smooth workflow integration.
- Services: it includes the support activities required for the effective implementation and maintenance of warehouse automation systems. This includes consulting, installation, training, maintenance, and upgrade services that ensure the hardware and software components function seamlessly together and are optimized for the warehouse’s specific needs.
By Deployment Mode
- On-premises: this deployment involves installing and running software on local servers and hardware within the warehouse facility. This mode offers greater control over data and systems, which is beneficial for companies with strict data security and compliance requirements. It also allows for customized solutions tailored to the specific needs of the warehouse. However, it requires significant upfront investment and ongoing maintenance.
- Cloud-based: it involves hosting software and data on remote servers managed by third-party service providers. This mode offers scalability, flexibility, and cost-effectiveness, as companies can pay for the services they use and scale operations up or down as needed. Cloud-based solutions also enable easier updates and access to the latest technologies without the need for extensive in-house IT infrastructure.
By Operation Mode
- Fully-automated: these warehouses utilize advanced robotics and AI-driven systems to perform all operational tasks with minimal human intervention. This includes automated storage and retrieval, picking, packing, sorting, and transportation within the warehouse. Fully-automated systems can significantly increase efficiency, accuracy, and speed, but they require substantial investment in technology and infrastructure.
- Semi-automated: these warehouses combine automation with human labor, where certain tasks are automated while others are manually performed by workers. This mode allows for greater flexibility and can be more cost-effective, especially for warehouses with variable demand or complex tasks that require human judgment. Semi-automated systems are often used as a step towards full automation, allowing companies to gradually implement automation technologies and optimize processes over time.
Report Scope
Feature of the Report | Details |
Market Size in 2024 | USD 7.12 Billion |
Projected Market Size in 2033 | USD 17.23 Billion |
Market Size in 2023 | USD 6.89 Billion |
CAGR Growth Rate | 10.32% CAGR |
Base Year | 2023 |
Forecast Period | 2024-2033 |
Key Segment | By Automation Type, Function, Component, Deployment Mode, Operation Mode and Region |
Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
Country Scope | US |
Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
Competitive Landscape – Warehouse Automation Market
The US warehouse automation market is highly competitive, with a large number of manufacturers operating across the US. Some of the key players in the market include:
- Honeywell Intelligrated
- Dematic (KION Group)
- Swisslog (KUKA AG)
- Daifuku Co. Ltd.
- SSI Schaefer
- TGW Logistics Group
- Vanderlande Industries
- Knapp AG
- Murata Machinery
- Bastian Solutions (Toyota Advanced Logistics)
- MHS Global
- Fetch Robotics
- 6 River Systems (Shopify)
- Locus Robotics
- GreyOrange
- Others
These companies operate in the market through various strategies such as product innovation, mergers and acquisitions, and partnerships.
New entrants in the warehouse automation market are leveraging innovation and development to differentiate themselves and gain traction. These players often focus on adopting advanced technologies, offering customizable solutions, and promoting sustainable and eco-friendly practices. Companies are utilizing technology to streamline warehouse operations, enhance efficiency, and expand their market reach.
This includes the integration of IoT devices, AI-driven systems, and cloud-based platforms to manage inventory, optimize workflows, and improve communication. Additionally, these new entrants are emphasizing flexible and scalable automation solutions to meet the diverse needs of various industries.
The US Warehouse Automation Market is segmented as follows:
By Automation Type
- Automated Storage and Retrieval Systems (AS/RS)
- Automated Guided Vehicles (AGVs)
- Conveyor Systems
- Sortation Systems
- Robotics Systems
- Shuttle Systems
By Function
- Storage and Retrieval
- Transportation
- Sorting
- Picking
- Packing
- Palletizing and Depalletizing
By Component
- Hardware
- Software
- Services
By Deployment Mode
- On-Premises
- Cloud-Based
By Operation Mode
- Fully-Automated
- Semi-Automated
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market Research Methodology
- Chapter 2. Executive Summary
- 2.1 Global US Warehouse Automation Market, (2024 – 2033) (USD Billion)
- 2.2 Global US Warehouse Automation Market: snapshot
- Chapter 3. Global US Warehouse Automation Market – Industry Analysis
- 3.1 US Warehouse Automation Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 Increasing Demand for Efficiency
- 3.2.2 E-commerce Boom
- 3.2.3 Labor Shortages and Cost Savings
- 3.2.4 Technological Advancements
- 3.2.5 Customization and Flexibility
- 3.2.6 Sustainability and Eco-friendly Practices
- 3.2.7 Urbanization and Infrastructure Development
- 3.2.8 Lower Barriers to Entry
- 3.2.9 Enhanced Data Analytics and Decision Making
- 3.2.10 Integration with Digital Platforms.
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Automation Type
- 3.7.2 Market Attractiveness Analysis By Function
- 3.7.3 Market Attractiveness Analysis By Component
- 3.7.4 Market Attractiveness Analysis By Deployment Mode
- 3.7.5 Market Attractiveness Analysis By Operation Mode
- Chapter 4. Global US Warehouse Automation Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Global US Warehouse Automation Market: Company Market Share, 2023
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Global US Warehouse Automations Market – Automation Type Analysis
- 5.1 Global US Warehouse Automations Market Overview: By Automation Type
- 5.1.1 Global US Warehouse Automations Market Share, By Automation Type, 2023 and 2033
- 5.2 Automated Storage and Retrieval Systems (AS/RS)
- 5.2.1 Global US Warehouse Automations Market by Automated Storage and Retrieval Systems (AS/RS), 2024 – 2033 (USD Billion)
- 5.3 Automated Guided Vehicles (AGVs)
- 5.3.1 Global US Warehouse Automations Market by Automated Guided Vehicles (AGVs), 2024 – 2033 (USD Billion)
- 5.4 Conveyor Systems
- 5.4.1 Global US Warehouse Automations Market by Conveyor Systems, 2024 – 2033 (USD Billion)
- 5.5 Sortation Systems
- 5.5.1 Global US Warehouse Automations Market by Sortation Systems, 2024 – 2033 (USD Billion)
- 5.6 Robotics Systems
- 5.6.1 Global US Warehouse Automations Market by Robotics Systems, 2024 – 2033 (USD Billion)
- 5.7 Shuttle Systems
- 5.7.1 Global US Warehouse Automations Market by Shuttle Systems, 2024 – 2033 (USD Billion)
- 5.1 Global US Warehouse Automations Market Overview: By Automation Type
- Chapter 6. Global US Warehouse Automations Market – Function Analysis
- 6.1 Global US Warehouse Automations Market Overview: By Function
- 6.1.1 Global US Warehouse Automations Market Share, By Function, 2023 and 2033
- 6.2 Storage and Retrieval
- 6.2.1 Global US Warehouse Automations Market by Storage and Retrieval, 2024 – 2033 (USD Billion)
- 6.3 Transportation
- 6.3.1 Global US Warehouse Automation Market by Transportation, 2024 – 2033 (USD Billion)
- 6.4 Sorting
- 6.4.1 Global US Warehouse Automation Market by Sorting, 2024 – 2033 (USD Billion)
- 6.5 Picking
- 6.5.1 Global US Warehouse Automations Market by Picking, 2024 – 2033 (USD Billion)
- 6.6 Packing
- 6.6.1 Global US Warehouse Automations Market by Packing, 2024 – 2033 (USD Billion)
- 6.7 Palletizing and Depalletizing
- 6.7.1 Global US Warehouse Automations Market by Palletizing and Depalletizing, 2024 – 2033 (USD Billion)
- 6.1 Global US Warehouse Automations Market Overview: By Function
- Chapter 7. Global US Warehouse Automations Market – Component Analysis
- 7.1 Global US Warehouse Automations Market Overview: By Component
- 7.1.1 Global US Warehouse Automations Market Share, By Component, 2023 and 2033
- 7.2 Hardware
- 7.2.1 Global US Warehouse Automations Market by Hardware, 2024 – 2033 (USD Billion)
- 7.3 Software
- 7.3.1 Global US Warehouse Automations Market by Software, 2024 – 2033 (USD Billion)
- 7.4 Services
- 7.4.1 Global US Warehouse Automations Market by Services, 2024 – 2033 (USD Billion)
- 7.1 Global US Warehouse Automations Market Overview: By Component
- Chapter 8. Global US Warehouse Automations Market – Deployment Mode Analysis
- 8.1 Global US Warehouse Automations Market Overview: By Deployment Mode
- 8.1.1 Global US Warehouse Automations Market Share, By Deployment Mode, 2023 and 2033
- 8.2 On-Premises
- 8.2.1 Global US Warehouse Automations Market by On-Premises, 2024 – 2033 (USD Billion)
- 8.3 Cloud-Based
- 8.3.1 Global US Warehouse Automations Market by Cloud-Based, 2024 – 2033 (USD Billion)
- 8.1 Global US Warehouse Automations Market Overview: By Deployment Mode
- Chapter 9. Global US Warehouse Automations Market – Operation Mode Analysis
- 9.1 Global US Warehouse Automations Market Overview: By Operation Mode
- 9.1.1 Global US Warehouse Automations Market Share, By Operation Mode, 2023 and 2033
- 9.2 Fully-Automated
- 9.2.1 Global US Warehouse Automations Market by Fully Automated, 2024 – 2033 (USD Billion)
- 9.3 Semi-Automated
- 9.3.1 Global US Warehouse Automations Market by Semi-Automated, 2024 – 2033 (USD Billion)
- 9.1 Global US Warehouse Automations Market Overview: By Operation Mode
- Chapter 10. US Warehouse Automations Market – Regional Analysis
- 10.1 Global US Warehouse Automations Market Regional Overview
- 10.2 Global US Warehouse Automations Market Share, by Region, 2023 & 2033 (USD Billion)
- Chapter 11. Company Profiles
- 11.1 Honeywell Intelligrated
- 11.1.1 Overview
- 11.1.2 Financials
- 11.1.3 Product Portfolio
- 11.1.4 Business Strategy
- 11.1.5 Recent Developments
- 11.2 Dematic (KION Group)
- 11.2.1 Overview
- 11.2.2 Financials
- 11.2.3 Product Portfolio
- 11.2.4 Business Strategy
- 11.2.5 Recent Developments
- 11.3 Swisslog (KUKA AG)
- 11.3.1 Overview
- 11.3.2 Financials
- 11.3.3 Product Portfolio
- 11.3.4 Business Strategy
- 11.3.5 Recent Developments
- 11.4 Daifuku Co. Ltd.
- 11.4.1 Overview
- 11.4.2 Financials
- 11.4.3 Product Portfolio
- 11.4.4 Business Strategy
- 11.4.5 Recent Developments
- 11.5 SSI Schaefer
- 11.5.1 Overview
- 11.5.2 Financials
- 11.5.3 Product Portfolio
- 11.5.4 Business Strategy
- 11.5.5 Recent Developments
- 11.6 TGW Logistics Group
- 11.6.1 Overview
- 11.6.2 Financials
- 11.6.3 Product Portfolio
- 11.6.4 Business Strategy
- 11.6.5 Recent Developments
- 11.7 Vanderlande Industries
- 11.7.1 Overview
- 11.7.2 Financials
- 11.7.3 Product Portfolio
- 11.7.4 Business Strategy
- 11.7.5 Recent Developments
- 11.8 Knapp AG
- 11.8.1 Overview
- 11.8.2 Financials
- 11.8.3 Product Portfolio
- 11.8.4 Business Strategy
- 11.8.5 Recent Developments
- 11.9 Murata Machinery
- 11.9.1 Overview
- 11.9.2 Financials
- 11.9.3 Product Portfolio
- 11.9.4 Business Strategy
- 11.9.5 Recent Developments
- 11.10 Bastian Solutions (Toyota Advanced Logistics)
- 11.10.1 Overview
- 11.10.2 Financials
- 11.10.3 Product Portfolio
- 11.10.4 Business Strategy
- 11.10.5 Recent Developments
- 11.11 MHS Global
- 11.11.1 Overview
- 11.11.2 Financials
- 11.11.3 Product Portfolio
- 11.11.4 Business Strategy
- 11.11.5 Recent Developments
- 11.12 Fetch Robotics
- 11.12.1 Overview
- 11.12.2 Financials
- 11.12.3 Product Portfolio
- 11.12.4 Business Strategy
- 11.12.5 Recent Developments
- 11.13 6 River Systems (Shopify)
- 11.13.1 Overview
- 11.13.2 Financials
- 11.13.3 Product Portfolio
- 11.13.4 Business Strategy
- 11.13.5 Recent Developments
- 11.14 Locus Robotics
- 11.14.1 Overview
- 11.14.2 Financials
- 11.14.3 Product Portfolio
- 11.14.4 Business Strategy
- 11.14.5 Recent Developments
- 11.15 GreyOrange
- 11.15.1 Overview
- 11.15.2 Financials
- 11.15.3 Product Portfolio
- 11.15.4 Business Strategy
- 11.15.5 Recent Developments
- 11.16 Others.
- 11.16.1 Overview
- 11.16.2 Financials
- 11.16.3 Product Portfolio
- 11.16.4 Business Strategy
- 11.16.5 Recent Developments
- 11.1 Honeywell Intelligrated
List Of Figures
Figures No 1 to 34
List Of Tables
Tables No 1 to 2
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2033
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
Perspective | Primary research | Secondary research |
Supply-side |
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Demand-side |
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Market Analysis Matrix
Qualitative analysis | Quantitative analysis |
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Prominent Player
FAQs
The key factors driving the Market are Increasing Demand for Efficiency, E-commerce Boom, Labor Shortages and Cost Savings, Technological Advancements, Customization and Flexibility, Sustainability and Eco-friendly Practices, Urbanization and Infrastructure Development, Lower Barriers to Entry, Enhanced Data Analytics and Decision Making, Integration with Digital Platforms.
The “Automated Storage and Retrieval Systems (AS/RS)” category dominated the market in 2023.
The key players in the market are Honeywell Intelligrated, Dematic (KION Group), Swisslog (KUKA AG), Daifuku Co. Ltd., SSI Schaefer, TGW Logistics Group, Vanderlande Industries, Knapp AG, Murata Machinery, Bastian Solutions (Toyota Advanced Logistics), MHS Global, Fetch Robotics, 6 River Systems (Shopify), Locus Robotics, GreyOrange, Others.
The market is projected to grow at a CAGR of 10.32% during the forecast period, 2024-2033.
The US Warehouse Automation Market size was valued at USD 7.12 Billion in 2024.