The Warehouse Automation Market Size was valued at USD 16.25 billion in 2023 and is expected to reach USD 53.01 billion by 2031 and grow at a CAGR of 15.93% over the forecast period 2024-2031.
Warehouse automation entails the incorporation of robotics and advanced mechanisms into warehouse operations, leveraging technologies like robotics, AI, machine learning, sensors, and software systems to enhance efficiency in inventory management. The dynamic fashion industry, driven by the need for rapid delivery and real-time stock control, underscores the necessity for more effective warehouse management practices. These automation systems play a pivotal role in inventory management, order fulfillment, material handling, storage, picking, packing, and shipping processes for businesses and firms. Warehouse automation streamlines the movement of inventory from warehouses to customers, minimizing the need for human intervention. By implementing automation, businesses can eliminate labor-intensive tasks involving repetitive physical labor and manual data entry and analysis, thereby enhancing efficiency and reducing errors.
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KEY DRIVERS:
The IOT is a key driver shaping the dynamics of the warehouse automation market.
The IOT technology has a profound impact on various aspects of daily life and work, empowering machines to handle heavy tasks and automate repetitive processes. This widespread adoption of IOT in everyday life has fueled market expansion, driving innovation and enhancing security by continuously monitoring both digital and physical infrastructure. By automating storage solutions, IoT technologies reduce operational and labor costs in warehouses, ultimately improving efficiency and the overall customer supply chain experience.
Businesses are placing a growing emphasis on enhancing their supply chain operations to lower costs, enhance inventory management, and boost customer satisfaction.
RESTRAIN:
Regular maintenance is essential for the smooth operation of automated systems in warehouses.
Mechanical challenges associated with maintenance include creating maintenance schedules, implementing preventive maintenance protocols, and training staff to conduct routine checks and repairs. Maximum time and minimum time are crucial for achieving optimal efficiency in warehouse automation. Additionally, ensuring the safety of workers and equipment remains a top priority in warehouse automation.
Warehouse automation can lead to significant energy consumption, presenting challenges in reducing energy usage.
OPPORTUNITY:
Big data and AI technologies empower the collection and analysis of extensive data from diverse sources within warehouses
This data holds the potential to yield valuable insights and forecasts regarding inventory levels, demand trends, and operational efficiencies. Through the utilization of predictive analytics, warehouse managers can enhance inventory management, minimize stockouts, and elevate overall warehouse performance.
AI and ML techniques have the capacity to streamline warehouse operations by optimizing tasks like route planning, resource allocation, and order fulfillment.
CHALLENGES:
As technology and data usage expand in warehouse automation, heightened attention is placed on data security and privacy.
As warehouse automation relies more on technology and data, the significance of data security and privacy intensifies. It's essential to implement robust measures to shield sensitive information from cyber threats and unauthorized access. This entails deploying encryption protocols, access controls, and regular security audits to ensure the integrity and confidentiality of data throughout the automation process.
As companies expand, scalability becomes a crucial consideration for warehouse automation systems to handle growing operational demands.
The Russia-Ukraine war has caused prices to rise for various commodities like fertilizers, food items, and oil and gas. Supply chain disruptions have further compounded the situation, leading to higher freight charges, shortages of shipping containers, and reduced availability of warehouse space. With several ports closed and delays in shipments causing congestion, many orders are being withdrawn due to the uncertainty and logistical challenges arising from the conflict. Supply chain interruptions have led to elevated a high costs, a deficit of shipping containers, and reduced access to warehouse space. The Russia-Ukraine conflict is impacting automobile manufacturing, as seen with Leoni AG, a wire systems manufacturer for European automakers, closing two factories in Ukraine. Consequently, Volkswagen had to halt operations in Dresden and Zwickau. Ukraine hosts 22 foreign companies, like Leoni AG, across 38 factories, producing electronic seats, wire harnesses, and other components exported to European automobile manufacturers. Notably, companies like Mercedes are also feeling the effects of this supply shortage.
The economic uncertainty stemming from the Russia-Ukraine conflict could lead to decreased investments in warehouse automation projects as businesses prioritize essential expenses and adopt a cautious approach towards capital expenditure. Additionally, disruptions in supply chains, including delays in the delivery of automation equipment and components, may hinder the implementation of warehouse automation systems, thereby slowing down market growth. Moreover, increased freight charges and shortages of raw materials due to supply chain disruptions can drive up the costs of warehouse automation technologies, potentially making them less affordable for businesses. Consequently, businesses across various industries might postpone or scale back plans for warehouse automation deployments a midst economic uncertainty, resulting in reduced demand for automation solutions.
By Type:
Warehouse System
Mechanized Warehouse
Advanced Warehouse
Basic Warehouse
The warehouse system segment experiences notable growth within the warehouse automation market. A warehouse system refers to a software application responsible for controlling and overseeing various warehouse operations. It offers functionalities such as inventory management, order fulfillment, picking optimization, and tracking of goods within the warehouse.
By Component:
Software
Hardware
The hardware segment is a popular choice and holds significant dominance in the warehouse automation market. Automation hardware facilitates quicker and more precise task execution compared to manual labor. In the forecast period, the software segment exhibits promising growth trends within the warehouse automation market. Cloud computing presents advantages such as scalability, flexibility, and accessibility to automation solutions for warehouses.
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By Technology:
Retrieval Systems & Automated Storage
Automatic Guided Vehicles
Autonomous Mobile Robots
Voice Picking & Tasking
Automated Sortation Systems
During the forecast period, automated storage and retrieval systems become the top application in warehouse automation. These systems use advanced technologies like robotics, conveyors, sensors, and software to automate inventory tasks. For instance, Falcon Autotech introduces NEO, an ASRS leveraging robotics, AI, and sensors for efficient goods storage and retrieval.
By Application :
Apparel
Food & beverage
Pharmaceutical
Automotive
E-Commerce
Grocery
The e-commerce segment is widely favored and holds a significant share in the warehouse automation market. The rise of e-commerce has spurred an increased need for swift and efficient order fulfillment processes. This growth is attributed to the integration of technologies like artificial intelligence (AI), machine learning (ML), and software solutions. AI and ML algorithms play a crucial role in analyzing the substantial volumes of data generated by e-commerce operations.
The North America maintains its dominance and is expected to remain a key marketplace throughout the projected period. This is primarily due to technological advancements like artificial intelligence and machine learning, driving the need for enhanced efficiency and productivity. Moreover, the increasing availability and affordability of automated systems in the region contribute to this trend.
The Asia-Pacific emerges as a lucrative growth market in the warehouse automation sector. This growth is propelled by the significant expansion of the e-commerce and retail sectors in the region, driving demand for efficient and economical warehousing solutions. The rapid surge of e-commerce in countries like China, Japan, and India further fuels the requirement for warehouse automation to manage the escalating volume of online orders.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Some of the major players in the Warehouse Automation Market Jizhong Energy Storage, Viastore Systems, Kardex Remstar, Interroll, Honeywell Intelligrated, Aeologic Technologies, Kiva Systems, Grey Orange, Swisslog, Geek+ and other players.
Jizhong Energy Storage -Company Financial Analysis
November 2023 Warehouse automation has seen significant growth over the past year, with companies increasingly investing in technologies to create smart, connected industrial sites.Jessica Nian, lead analyst for manufacturing technology at Omdia said the development of warehouse automation has entered a stage of “steady growth” set to continue.
October 2023 Global Warehouse Automation Market 2023-2031: Industry 4.0 Spurs Explosive Demand for Warehouse Automation Technologies. Warehouse automation technologies play a pivotal role in streamlining operations, eliminating manual, time-consuming tasks, and allowing employees to focus on more critical duties. With the advent of Industry 4.0, remote operations, and enhanced worker safety, the market has witnessed extensive expansion.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | US$ 16.25 Billion |
| Market Size by 2031 | US$ 53.01 Billion |
| CAGR | CAGR of 15.93% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (Warehouse System, Mechanized Warehouse, Advanced Warehouse, Basic Warehouse) • By Components (Software & Hardware) • By Technology (Retrieval Systems & Automated Storage, Automatic Guided Vehicles, Autonomous Mobile Robots, Voice Picking & Tasking, Automated Sortation Systems) • By Application (Apparel, Food & Beverage, Pharmaceutical, Automotive, E-Commerce, Grocery) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Jizhong Energy Storage, Viastore Systems, Kardex Remstar, Interroll, Honeywell Intelligrated, Aeologic Technologies, Kiva Systems, Grey Orange, Swisslog, Geek+ |
| Key Drivers | • The IOT is a key driver shaping the dynamics of the warehouse automation market. • Businesses are placing a growing emphasis on enhancing their supply chain operations to lower costs, enhance inventory management, and boost customer satisfaction. |
| Challenges | • As technology and data usage expand in warehouse automation, heightened attention is placed on data security and privacy. • As companies expand, scalability becomes a crucial consideration for warehouse automation systems to handle growing operational demands. |
Ans: The Warehouse Automation Market is expected to grow at a CAGR of 15.93%
Ans: Warehouse Automation Market size was USD 16.25 billion in 2023 and is expected to Reach USD 53.01 billion by 2031.
Ans: The IOT is a key driver shaping the dynamics of the warehouse automation market.
Ans: Regular maintenance is essential for the smooth operation of automated systems in warehouses.
Ans: North America stood out as the dominant player in 2023, commanding a significant market share of 45 %
TABLE OF CONTENTS
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Industry Flowchart
3. Research Methodology
4. Market Dynamics
4.1 Drivers
4.2 Restraints
4.3 Opportunities
4.4 Challenges
5. Impact Analysis
5.1 Impact of Russia-Ukraine Crisis
5.2 Impact of Economic Slowdown on Major Countries
5.2.1 Introduction
5.2.2 United States
5.2.3 Canada
5.2.4 Germany
5.2.5 France
5.2.6 UK
5.2.7 China
5.2.8 Japan
5.2.9 South Korea
5.2.10 India
6. Value Chain Analysis
7. Porter’s 5 Forces Model
8. Pest Analysis
9. Warehouse Automation Market Segmentation, By Type
9.1 Introduction
9.2 Trend Analysis
9.3 Warehouse System
9.4 Mechanized Warehouse
9.5 Advanced Warehouse
9.6 Basic Warehouse
10. Warehouse Automation Market Segmentation, By Component
10.1 Introduction
10.2 Trend Analysis
10.3 Software
10.4 Hardware
11. Warehouse Automation Market Segmentation, By Technology
11.1 Introduction
11.2 Trend Analysis
11.3 Retrieval Systems & Automated Storage
11.4 Automatic Guided Vehicles
11.5 Autonomous Mobile Robots
11.6 Voice Picking & Tasking
11.7 Automated Sortation Systems
12. Warehouse Automation Market Segmentation, By Application
12.1 Introduction
12.2 Trend Analysis
12.3 Apparel
12.4 Food & beverage
12.4 Pharmaceutical
12.5 Automotive
12.6 E-Commerce
12.7 Grocery
13. Regional Analysis
13.1 Introduction
13.2 North America
13.2.1 Trend Analysis
13.2.2 North America Warehouse Automation Marketby Country
13.2.3 North America Warehouse Automation Market By Type
13.2.4 North America Warehouse Automation Market By Component
13.2.5 North America Warehouse Automation Market By Technology
13.2.6 North America Warehouse Automation Market By Application
13.2.7 USA
13.2.7.1 USA Warehouse Automation Market By Type
13.2.7.2 USA Warehouse Automation Market By Component
13.2.7.3 USA Warehouse Automation Market By Technology
13.2.7.4 USA Warehouse Automation Market By Application
13.2.8 Canada
13.2.8.1 Canada Warehouse Automation Market By Type
13.2.8.2 Canada Warehouse Automation Market By Component
13.2.8.3 Canada Warehouse AutomationMarket By Technology
13.2.8.4 Canada Warehouse Automation Market By Application
13.2.9 Mexico
13.2.9.1 Mexico Warehouse Automation Market By Type
13.2.9.2 Mexico Warehouse Automation Market By Component
13.2.9.3 Mexico Warehouse Automation Market By Technology
13.2.9.4 Mexico Warehouse Automation Market By Application
13.3 Europe
13.3.1 Trend Analysis
13.3.2 Eastern Europe
13.3.2.1 Eastern Europe Warehouse Automation Marketby Country
13.3.2.2 Eastern Europe Warehouse Automation Market By Type
13.3.2.3 Eastern Europe Warehouse Automation Market By Component
13.3.2.4 Eastern Europe Warehouse Automation Market By Technology
13.3.2.5 Eastern Europe Warehouse Automation Market By Application
13.3.2.6 Poland
13.3.2.6.1 Poland Warehouse Automation Market By Type
13.3.2.6.2 Poland Warehouse Automation Market By Component
13.3.2.6.3 Poland Warehouse Automation Market By Technology
13.3.2.6.4 Poland Warehouse Automation Market By Application
13.3.2.7 Romania
13.3.2.7.1 Romania Warehouse Automation Market By Type
13.3.2.7.2 Romania Warehouse Automation Market By Component
13.3.2.7.3 Romania Warehouse Automation Market By Technology
13.3.2.7.4 Romania Warehouse Automation Market By Application
13.3.2.8 Hungary
13.3.2.8.1 Hungary Warehouse Automation Market By Type
13.3.2.8.2 Hungary Warehouse Automation Market By Component
13.3.2.8.3 Hungary Warehouse Automation Market By Technology
13.3.2.8.4 Hungary Warehouse Automation Market By Application
13.3.2.9 Turkey
13.3.2.9.1 Turkey Warehouse Automation Market By Type
13.3.2.9.2 Turkey Warehouse Automation Market By Component
13.3.2.9.3 Turkey Warehouse Automation Market By Technology
13.3.2.9.4 Turkey Warehouse Automation Market By Application
13.3.2.10 Rest of Eastern Europe
13.3.2.10.1 Rest of Eastern Europe Warehouse Automation Market By Type
13.3.2.10.2 Rest of Eastern Europe Warehouse Automation Market By Component
13.3.2.10.3 Rest of Eastern Europe Warehouse Automation Market By Technology
13.3.2.10.4 Rest of Eastern Europe Warehouse Automation Market By Application
13.3.3 Western Europe
13.3.3.1 Western Europe Warehouse Automation Marketby Country
13.3.3.2 Western Europe Warehouse Automation Market By Type
13.3.3.3 Western Europe Warehouse Automation Market By Component
13.3.3.4 Western Europe Warehouse Automation Market By Technology
13.3.3.5 Western Europe Warehouse Automation Market By Application
13.3.3.6 Germany
13.3.3.6.1 Germany Warehouse Automation Market By Type
13.3.3.6.2 Germany Warehouse Automation Market By Component
13.3.3.6.3 Germany Warehouse Automation Market By Technology
13.3.3.6.4 Germany Warehouse Automation Market By Application
13.3.3.7 France
13.3.3.7.1 France Warehouse Automation Market By Type
13.3.3.7.2 France Warehouse Automation Market By Component
13.3.3.7.3 France Warehouse Automation Market By Technology
13.3.3.7.4 France Warehouse Automation Market By Application
13.3.3.8 UK
13.3.3.8.1 UK Warehouse Automation Market By Type
13.3.3.8.2 UK Warehouse Automation Market By Component
13.3.3.8.3 UK Warehouse Automation Market By Technology
13.3.3.8.4 UK Warehouse Automation Market By Application
13.3.3.9 Italy
13.3.3.9.1 Italy Warehouse Automation Market By Type
13.3.3.9.2 Italy Warehouse Automation Market By Component
13.3.3.9.3 Italy Warehouse Automation Market By Technology
13.3.3.9.4 Italy Warehouse Automation Market By Application
13.3.3.10 Spain
13.3.3.10.1 Spain Warehouse Automation Market By Type
13.3.3.10.2 Spain Warehouse Automation Market By Component
13.3.3.10.3 Spain Warehouse Automation Market By Technology
13.3.3.10.4 Spain Warehouse Automation Market By Application
13.3.3.11 Netherlands
13.3.3.11.1 Netherlands Warehouse Automation Market By Type
13.3.3.11.2 Netherlands Warehouse Automation Market By Component
13.3.3.11.3 Netherlands Warehouse Automation Market By Technology
13.3.3.11.4 Netherlands Warehouse Automation Market By Application
13.3.3.12 Switzerland
13.3.3.12.1 Switzerland Warehouse Automation Market By Type
13.3.3.12.2 Switzerland Warehouse Automation Market By Component
13.3.3.12.3 Switzerland Warehouse Automation Market By Technology
13.3.3.12.4 Switzerland Warehouse Automation Market By Application
13.3.3.13 Austria
13.3.3.13.1 Austria Warehouse Automation Market By Type
13.3.3.13.2 Austria Warehouse Automation Market By Component
13.3.3.13.3 Austria Warehouse Automation Market By Technology
13.3.3.13.4 Austria Warehouse Automation Market By Application
13.3.3.14 Rest of Western Europe
13.3.3.14.1 Rest of Western Europe Warehouse Automation Market By Type
13.3.3.14.2 Rest of Western Europe Warehouse Automation Market By Component
13.3.3.14.3 Rest of Western Europe Warehouse Automation Market By Technology
13.3.3.14.4 Rest of Western Europe Warehouse Automation Market By Application
13.4 Asia-Pacific
13.4.1 Trend Analysis
13.4.2 Asia-Pacific Warehouse Automation Marketby Country
13.4.3 Asia-Pacific Warehouse Automation Market By Type
13.4.4 Asia-Pacific Warehouse Automation Market By Component
13.4.5 Asia-Pacific Warehouse Automation Market By Technology
13.4.6 Asia-Pacific Warehouse Automation Market By Application
13.4.7 China
13.4.7.1 China Warehouse Automation Market By Type
13.4.7.2 China Warehouse Automation Market By Component
13.4.7.3 China Warehouse Automation Market By Technology
13.4.7.4 China Warehouse Automation Market By Application
13.4.8 India
13.4.8.1 India Warehouse Automation Market By Type
13.4.8.2 India Warehouse Automation Market By Component
13.4.8.3 India Warehouse Automation Market By Technology
13.4.8.4 India Warehouse Automation Market By Application
13.4.9 Japan
13.4.9.1 Japan Warehouse Automation Market By Type
13.4.9.2 Japan Warehouse Automation Market By Component
13.4.9.3 Japan Warehouse Automation Market By Technology
13.4.9.4 Japan Warehouse Automation Market By Application
13.4.10 South Korea
13.4.10.1 South Korea Warehouse Automation Market By Type
13.4.10.2 South Korea Warehouse Automation Market By Component
13.4.10.3 South Korea Warehouse Automation Market By Technology
13.4.10.4 South Korea Warehouse Automation Market By Application
13.4.11 Vietnam
13.4.11.1 Vietnam Warehouse Automation Market By Type
13.4.11.2 Vietnam Warehouse Automation Market By Component
13.4.11.3 Vietnam Warehouse Automation Market By Technology
13.4.11.4 Vietnam Warehouse Automation Market By Application
13.4.12 Singapore
13.4.12.1 Singapore Warehouse Automation Market By Type
13.4.12.2 Singapore Warehouse Automation Market By Component
13.4.12.3 Singapore Warehouse Automation Market By Technology
13.4.12.4 Singapore Warehouse Automation Market By Application
13.4.13 Australia
13.4.13.1 Australia Warehouse Automation Market By Type
13.4.13.2 Australia Warehouse Automation Market By Component
13.4.13.3 Australia Warehouse Automation Market By Technology
13.4.13.4 Australia Warehouse Automation Market By Application
13.4.14 Rest of Asia-Pacific
13.4.14.1 Rest of Asia-Pacific Warehouse Automation Market By Type
13.4.14.2 Rest of Asia-Pacific Warehouse Automation Market By Component
13.4.14.3 Rest of Asia-Pacific Warehouse Automation Market By Technology
13.4.14.4 Rest of Asia-Pacific Warehouse Automation Market By Application
13.5 Middle East & Africa
13.5.1 Trend Analysis
13.5.2 Middle East
13.5.2.1 Middle East Warehouse Automation Marketby Country
13.5.2.2 Middle East Warehouse Automation Market By Type
13.5.2.3 Middle East Warehouse Automation Market By Component
13.5.2.4 Middle East Warehouse Automation Market By Technology
13.5.2.5 Middle East Warehouse Automation Market By Application
13.5.2.6 UAE
13.5.2.6.1 UAE Warehouse Automation Market By Type
13.5.2.6.2 UAE Warehouse Automation Market By Component
13.5.2.6.3 UAE Warehouse Automation Market By Technology
13.5.2.6.4 UAE Warehouse Automation Market By Application
13.5.2.7 Egypt
13.5.2.7.1 Egypt Warehouse Automation Market By Type
13.5.2.7.2 Egypt Warehouse Automation Market By Component
13.5.2.7.3 Egypt Warehouse Automation Market By Technology
13.5.2.7.4 Egypt Warehouse Automation Market By Application
13.5.2.8 Saudi Arabia
13.5.2.8.1 Saudi Arabia Warehouse Automation Market By Type
13.5.2.8.2 Saudi Arabia Warehouse Automation Market By Component
13.5.2.8.3 Saudi Arabia Warehouse Automation Market By Technology
13.5.2.8.4 Saudi Arabia Warehouse Automation Market By Application
13.5.2.9 Qatar
13.5.2.9.1 Qatar Warehouse Automation Market By Type
13.5.2.9.2 Qatar Warehouse Automation Market By Component
13.5.2.9.3 Qatar Warehouse Automation Market By Technology
13.5.2.9.4 Qatar Warehouse Automation Market By Application
13.5.2.10 Rest of Middle East
13.5.2.10.1 Rest of Middle East Warehouse Automation Market By Type
13.5.2.10.2 Rest of Middle East Warehouse Automation Market By Component
13.5.2.10.3 Rest of Middle East Warehouse Automation Market By Technology
13.5.2.10.4 Rest of Middle East Warehouse Automation Market By Application
13.5.3 Africa
13.5.3.1 Africa Warehouse Automation Marketby Country
13.5.3.2 Africa Warehouse Automation Market By Type
13.5.3.3 Africa Warehouse Automation Market By Component
13.5.3.4 Africa Warehouse Automation Market By Technology
13.5.3.5 Africa Warehouse Automation Market By Application
13.5.3.6 Nigeria
13.5.3.6.1 Nigeria Warehouse Automation Market By Type
13.5.3.6.2 Nigeria Warehouse Automation Market By Component
13.5.3.6.3 Nigeria Warehouse Automation Market By Technology
13.5.3.6.4 Nigeria Warehouse Automation Market By Application
13.5.3.7 South Africa
13.5.3.7.1 South Africa Warehouse Automation Market By Type
13.5.3.7.2 South Africa Warehouse Automation Market By Component
13.5.3.7.3 South Africa Warehouse Automation Market By Technology
13.5.3.7.4 South Africa Warehouse Automation Market By Application
13.5.3.8 Rest of Africa
13.5.3.8.1 Rest of Africa Warehouse Automation Market By Type
13.5.3.8.2 Rest of Africa Warehouse Automation Market By Component
13.5.3.8.3 Rest of Africa Warehouse Automation Market By Technology
13.5.3.8.4 Rest of Africa Warehouse Automation Market By Application
13.6 Latin America
13.6.1 Trend Analysis
13.6.2 Latin America Warehouse Automation Marketby country
13.6.3 Latin America Warehouse Automation Market By Type
13.6.4 Latin America Warehouse Automation Market By Component
13.6.5 Latin America Warehouse Automation Market By Technology
13.6.6 Latin America Warehouse Automation Market By Application
13.6.7 Brazil
13.6.7.1 Brazil Warehouse Automation Market By Type
13.6.7.2 Brazil Warehouse Automation Market By Component
13.6.7.3 Brazil Warehouse Automation Market By Technology
13.6.7.4 Brazil Warehouse Automation Market By Application
13.6.8 Argentina
13.6.8.1 Argentina Warehouse Automation Market By Type
13.6.8.2 Argentina Warehouse Automation Market By Component
13.6.8.3 Argentina Warehouse Automation Market By Technology
13.6.8.4 Argentina Warehouse Automation Market By Application
13.6.9 Colombia
13.6.9.1 Colombia Warehouse Automation Market By Type
13.6.9.2 Colombia Warehouse Automation Market By Component
13.6.9.3 Colombia Warehouse Automation Market By Technology
13.6.9.4 Colombia Warehouse Automation Market By Application
13.6.10 Rest of Latin America
13.6.10.1 Rest of Latin America Warehouse Automation Market By Type
13.6.10.2 Rest of Latin America Warehouse Automation Market By Component
13.6.10.3 Rest of Latin America Warehouse Automation Market By Technology
13.6.10.4 Rest of Latin America Warehouse Automation Market By Application
14. Company Profiles
14.1 Jizhong Energy Storage
14.1.1 Company Overview
14.1.2 Financial
14.1.3 Products/ Services Offered
14.1.4 SWOT Analysis
14.1.5 The SNS View
14.2 Viastore Systems
14.2.1 Company Overview
14.2.2 Financial
14.2.3 Products/ Services Offered
14.2.4 SWOT Analysis
14.2.5 The SNS View
14.3 Kardex Remstar
14.3.1 Company Overview
14.3.2 Financial
14.3.3 Products/ Services Offered
14.3.4 SWOT Analysis
14.3.5 The SNS View
14.4 Interroll
14.4.1 Company Overview
14.4.2 Financial
14.4.3 Products/ Services Offered
14.4.4 SWOT Analysis
14.4.5 The SNS View
14.5 Honeywell Intelligrated
14.5.1 Company Overview
14.5.2 Financial
14.5.3 Products/ Services Offered
14.5.4 SWOT Analysis
14.5.5 The SNS View
14.6 Aeologic Technologies
14.6.1 Company Overview
14.6.2 Financial
14.6.3 Products/ Services Offered
14.6.4 SWOT Analysis
14.6.5 The SNS View
14.7 Kiva Systems
14.7.1 Company Overview
14.7.2 Financial
14.7.3 Products/ Services Offered
14.7.4 SWOT Analysis
14.7.5 The SNS View
14.8 Grey Orange
14.8.1 Company Overview
14.8.2 Financial
14.8.3 Products/ Services Offered
14.8.4 SWOT Analysis
14.8.5 The SNS View
14.9 Geek+
14.9.1 Company Overview
14.9.2 Financial
14.9.3 Products/ Services Offered
14.9.4 SWOT Analysis
14.9.5 The SNS View
14.10 Swisslog
14.10.1 Company Overview
14.10.2 Financial
14.10.3 Products/ Services Offered
14.10.4 SWOT Analysis
14.10.5 The SNS View
15. Competitive Landscape
15.1 Competitive Benchmarking
15.2 Market Share Analysis
15.3 Recent Developments
15.3.1 Industry News
15.3.2 Company News
15.3.3 Mergers & Acquisitions
16. Use Case and Best Practices
17. Conclusion
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When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
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