The Smart Warehousing Market Size was valued at USD 22.72 billion in 2023 and is estimated to reach USD 66.3 billion by 2031 with a growing CAGR of 14.31% Over the Forecast Period 2024-2031.
Numerous automated and connected technologies, including artificial intelligence, the Internet of Things, and automated guided vehicles, are included in a smart warehouse system. Together, these technologies help the warehouse become more productive and effective. The use of smart warehousing techniques reduces the need for human labor and lowers operational error rates. The adoption of smart warehouse facilities among end users has substantially expanded in this mobile-driven environment in order to meet customer demands for timely product delivery. The market for smart warehousing is expanding as a result of this rising demand for smart warehouses. Modern-day warehouse operations are being transformed by the proliferation of Industry 4.0 technologies including artificial intelligence, Big Data and analytics, autonomous robotics, augmented reality, and the Internet of Things. Furthermore, the market for smart warehousing is expanding due to the increase in digitization and the rising popularity of e-commerce among consumers. To improve and accelerate the supply chain network with the fewest possible faults, many vendors throughout the world are integrating cutting-edge technologies like barcode scanning apps, automated guided vehicles, radio frequency identification technology, etc. The use of these technologies in warehousing is essential to driving the market's expansion.
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Drivers
The increase in demand for smartphones as a rapid and effective means of managing operations
Increasing focus on Reducing the cost of warehousing and use of low manpower
The warehouse plays a crucial role in the entire supply chain. Operations in the warehouse that require a lot of labor, like order picking, inventory management, and asset tracking, can reduce overall productivity. Therefore, streamlining the entire warehouse process with mobile-based technology and applications can increase operational efficiencies and raise the bottom line. Because mobile devices like smartphones and tablets are so widely used, warehouse employees and logistics partners now have access to a wide range of tools and materials. The features that are anticipated to help warehouse managers manage the entire warehouse process more effectively include scanning inventory with barcode scanning apps, viewing the precise location of a shipment on a map, retrieving in-depth shipping information & receiving data, as well as generating reports more quickly.
Restrains
There is high initial investment is required for smart warehousing.
In the disjointed supply chain and logistics sector, there are no consistent governance requirements.
Opportunities
Consistently increasing innovation in smart warehousing by major players.
For a more effective and secure warehouse, put an emphasis on warehouse 4.0.
Warehouse 4.0 integrates digital and physical technologies, ushering in a new era of enhanced interconnected experiences that revolutionize the entire warehouse process. From product design and planning to supply chain management and production, the impact is far-reaching. In an effort to streamline operations and reduce training time for new employees, warehouses are adopting a voice-based and screen-directed inventory picking and replenishment procedure. Moreover, organizations are increasingly embracing multi-modal picking, which combines traditional picking methods with screen-directed picking using mobile devices. This innovative approach is gaining traction across industries. IoT, big data, computer vision, augmented reality, wearables A strong system of warehouse automation can be created by combining AI, inexpensive sensors, robots, and high-level computing. As a result, the integrated supply chain business will benefit from smarter warehouses and distribution hubs. Utilizing warehouse 4.0 technologies allows businesses to manage their inventory and delivery processes more effectively, which lowers operating expenses. There are a sizable number of warehouse 4.0 research and business efforts underway, which demonstrate how warehousing is constantly evolving and creating several opportunities.
Challenges
Need of skillful and technical persons to handle this system effectively.
Small businesses are not aware of the advantages of smart warehousing.
Ukraine has been an important player in the global agricultural supply chain, particularly for grain exports. The war can disrupt these supply chains, leading to shortages and price fluctuations. Smart warehousing solutions may be required to optimize storage and distribution during such disruptions. Ukraine and Russia, which are referred to as the "breadbasket" of Europe, export about 29% of the world's wheat. According to BRS, 30% of the world's wheat exports came from Russia and Ukraine, and 16% of the world's corn exports came from Ukraine, but due to war that totally damaged, the scarcity of labor due to war, as a result, companies are shifting their focus towards smart warehousing technology. Smart warehousing solutions often include automation technologies such as robotics and automated guided vehicles (AGVs). As labor supply and costs may be affected in regions near the conflict, businesses may consider automation to reduce reliance on human labor.
With heightened geopolitical tensions, warehouses and distribution centers in affected regions may need to invest more in security measures to protect their assets. Smart warehousing systems can incorporate advanced security features such as surveillance, access control, and alarm systems. Uncertainty in global markets due to the conflict can lead to fluctuations in currencies and commodities, impacting the cost of materials and transportation. Smart warehousing solutions that can optimize inventory management and reduce costs become more attractive in such volatile environments. Depending on the duration and severity of the conflict, trade routes may shift. This can impact the location and configuration of warehouses and distribution centers, prompting the need for smart warehousing solutions to adapt to new logistics challenges.
If the conflict escalates, there could be restrictions on the export of certain technologies, including smart warehousing components. This could impact the availability and cost of such technologies in affected regions.
Impact of Recession
During a recession, companies often look for ways to reduce costs. Smart warehousing technologies can help achieve this by optimizing warehouse operations, reducing labor costs, and minimizing errors in inventory management. That is a reason 12% increase in investments in smart warehousing technology. In times of economic uncertainty, businesses may seek greater efficiency to maintain profitability. Smart warehousing solutions, such as automated picking and inventory management systems, can improve operational efficiency, which becomes more crucial in cost-cutting efforts. Recessions can disrupt supply chains due to financial instability and shifting customer demand. Smart warehousing systems with real-time visibility and analytics capabilities can help companies better manage their supply chains, making them more resilient to economic shocks. On the flip side, a recession may lead some companies to delay or scale back their investment in smart warehousing technologies due to financial constraints and a focus on short-term cost savings. This has the potential to impede the overall market growth. The demand for smart warehousing solutions can also be influenced by the types of products stored and handled. Some industries, such as e-commerce and pharmaceuticals, may continue to invest in smart warehousing during a recession due to sustained demand for their products. While a recession can have short-term impacts, the long-term growth prospects of the smart warehousing market may remain positive, especially as businesses recognize the benefits of automation and digital transformation in improving overall efficiency and competitiveness.
By Component
Hardware
Solutions
Services
By Deployment Mode
On-Premises
Cloud
By Organization Size
Small and Medium Enterprises
Large Enterprises
By Technology
IoT and Analytics
AI in Warehouse
Automated Guided Vehicles (AGV)
RFID
Blockchain in Warehouse
Others
By Application
Transport Management
Inventory Management
Shipping Management
Others
By Industry
Transportation and Logistics
Retail and E-commerce
Food and Beverages
Manufacturing
Healthcare
Others
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The greatest market 29.5% share in the global industry is anticipated to belong to North America. To deliver the product on time and with the fewest faults possible, smart warehousing is increasingly in demand throughout the region. Due to this, vendors are increasingly adopting smart warehousing, which is anticipated to increase demand for the smart warehousing market in this area. Given its reputation as a center of innovation, North America is expected to offer prosperous prospects for companies that provide smart storage solutions. Major market giants like IBM Corporation, Infor, Manhattan Associates, and Oracle Corporation, among others, are present, which aids in the region's ability to generate income. Significant growth is anticipated in the Asia Pacific region during the predicted period. China, India, Singapore, South Korea, and other countries are adopting technology-based smart warehousing in a variety of industries to improve efficiency and customer experience. Additionally, the region is anticipated to see an increase in the adoption of smart warehousing hardware, solutions, and services.
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
The prominent market players are Manhattan Associates, Infor, Korber, Synergy Logistics, Generix, 3PL Central, PSI Logistics, Tecsys, Oracle, SAP, PTC, Epicor, IBM, Microlistics, Vinculum, Locus Robotics, Softeon, Unicommerce, Mantis, WareIQ, Increff, ShipHero, Orderhive, Foysonis, EasyEcom, Blue Yonder, IAM Robotics, BlueJay Solutions, and others in the final report.
The Oracle and Deutsche Bank partnership, one of the largest financial services organizations in the world, will update bank database technology and speed up digital transformation by June 2021.
SwoopTalent, a top provider of AI-powered platforms, was bought by SAP in August 2021 in order to increase organizational agility and accelerate corporate growth. SAP intends to bolster its AI capabilities using SwoopTalent's technology and give customers a comprehensive and constantly updated view of their clients.
Manhattan Associates released the Manhattan Active Warehouse Management system in May 2020. It is the only enterprise-class cloud-native WMS in the world that integrates all facets of distribution and never needs to be upgraded. Users of Manhattan Active WMS benefit from new levels of distribution management speed, adaptability, and usability.
| Report Attributes | Details |
| Market Size in 2023 | US$ 22.72 Bn |
| Market Size by 2031 | US$ 66.3 Bn |
| CAGR | CAGR of 14.31 % From 2024 to 2031 |
| Base Year | 2022 |
| Forecast Period | 2024-2031 |
| Historical Data | 2019-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Hardware, Solutions, Services) • By Deployment Mode (On-Premises, Cloud) • By Organization Size (Small and Medium Enterprises, Large Enterprises) • By Technology (IoT and Analytics, AI in Warehouse, Automated Guided Vehicles (AGV), RFID, Blockchain in Warehouse, Others) • By Application (Transport Management, Inventory Management, Order Management, Shipping Management, Others) • By Industry (Transportation and Logistics, Retail and E-commerce, Food and Beverages, Manufacturing, Healthcare, Others) |
| 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 | Manhattan Associates, Infor, Korber, Synergy Logistics, Generix, 3PL Central, PSI Logistics, Tecsys, Oracle, SAP, PTC, Epicor, IBM, Microlistics, Vinculum, Locus Robotics, Softeon, Unicommerce, Mantis, WareIQ, Increff, ShipHero, Orderhive, Foysonis, EasyEcom, Blue Yonder, IAM Robotics, BlueJay Solutions |
| Key Drivers | • The increase in demand for smartphones as a rapid and effective means of managing operations • Increasing focus on Reducing the cost of warehousing and use of low manpower |
| Market Restraints | • There is high initial investment is required for smart warehousing. • In the disjointed supply chain and logistics sector, there are no consistent governance requirements. |
Ans: The Smart Warehousing Market size was valued at USD 22.72 billion in 2023.
Ans. The Smart Warehousing Market is to grow at a CAGR of 14.31 % From 2024 to 2031.
Ans: There are three options available to purchase this report,
Features: A non-printable PDF to be accessed by just one user at a time
Features:
C: Excel Datasheet: USD 2,325
Ans. The forecast period of the Smart Warehousing Market is 2022-2030.
Ans: six segments are covered in the Smart Warehousing Market Report, By Component, By Deployment Mode, By Organization Size, By Technology, By Application, By Industry.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Smart Warehousing Market Segmentation, By Component
8.1 Hardware
8.2 Solutions
8.3 Services
9. Smart Warehousing Market Segmentation, By Deployment Mode
9.1 On-Premises
9.2 Cloud
10. Smart Warehousing Market Segmentation, By Organization Size
10.1 Small and Medium Enterprises
10.2 Large Enterprises
11. Smart Warehousing Market Segmentation, By Technology
11.1 IoT and Analytics
11.2 AI in Warehouse
11.3 Automated Guided Vehicles (AGV)
11.4 RFID
11.5 Blockchain in Warehouse
11.6 Others
12. Smart Warehousing Market Segmentation, By Application
12.1 Transport Management
12.2 Inventory Management
12.3 Order Management
12.4 Shipping Management
12.5 Others
13. Smart Warehousing Market Segmentation, By Industry
13.1 Transportation and Logistics
13.2 Retail and E-commerce
13.3 Food and Beverages
13.4 Manufacturing
13.5 Healthcare
13.6 Others
14. Regional Analysis
14.1 Introduction
14.2 North America
14.2.1 North America Smart Warehousing Market By Country
14.2.2 North America Smart Warehousing Market By Component
14.2.3 North America Smart Warehousing Market By Deployment Mode
14.2.4 North America Smart Warehousing Market By Organization Size
14.2.5 North America Smart Warehousing Market By Technology
14.2.6 North America Smart Warehousing Market By Application
14.2.7 North America Smart Warehousing Market By Industry
14.2.8 USA
14.2.8.1 USA Smart Warehousing Market By Component
14.2.8.2 USA Smart Warehousing Market By Deployment Mode
14.2.8.3 USA Smart Warehousing Market By Organization Size
14.2.8.4 USA Smart Warehousing Market By Technology
14.2.8.5 USA Smart Warehousing Market By Application
14.2.8.6 USA Smart Warehousing Market By Industry
14.2.9 Canada
14.2.9.1 Canada Smart Warehousing Market By Component
14.2.9.2 Canada Smart Warehousing Market By Deployment Mode
14.2.9.3 Canada Smart Warehousing Market By Organization Size
14.2.9.4 Canada Smart Warehousing Market By Technology
14.2.9.5 Canada Smart Warehousing Market By Application
14.2.9.6 Canada Smart Warehousing Market By Industry
14.2.10 Mexico
14.2.10.1 Mexico Smart Warehousing Market By Component
14.2.10.2 Mexico Smart Warehousing Market By Deployment Mode
14.2.10.3 Mexico Smart Warehousing Market By Organization Size
14.2.10.4 Mexico Smart Warehousing Market By Technology
14.2.10.5 Mexico Smart Warehousing Market By Application
14.2.10.6 Mexico Smart Warehousing Market By Industry
14.3 Europe
14.3.1 Eastern Europe
14.3.1.1 Eastern Europe Smart Warehousing Market By Country
14.3.1.2 Eastern Europe Smart Warehousing Market By Component
14.3.1.3 Eastern Europe Smart Warehousing Market By Deployment Mode
14.3.1.4 Eastern Europe Smart Warehousing Market By Organization Size
14.3.1.5 Eastern Europe Smart Warehousing Market By Technology
14.3.1.6 Eastern Europe Smart Warehousing Market By Application
14.3.1.7 Eastern Europe Smart Warehousing Market By Industry
13.3.1.8 Poland
14.3.1.8.1 Poland Smart Warehousing Market By Component
14.3.1.8.2 Poland Smart Warehousing Market By Deployment Mode
14.3.1.8.3 Poland Smart Warehousing Market By Organization Size
14.3.1.8.4 Poland Smart Warehousing Market By Technology
14.3.1.8.5 Poland Smart Warehousing Market By Application
14.3.1.8.6 Poland Smart Warehousing Market By Industry
14.3.1.9 Romania
14.3.1.9.1 Romania Smart Warehousing Market By Component
14.3.1.9.2 Romania Smart Warehousing Market By Deployment Mode
14.3.1.9.3 Romania Smart Warehousing Market By Organization Size
14.3.1.9.4 Romania Smart Warehousing Market By Technology
14.3.1.9.5 Romania Smart Warehousing Market By Application
14.3.1.9.6 Romania Smart Warehousing Market By Industry
14.3.1.10 Hungary
14.3.1.10.1 Hungary Smart Warehousing Market By Component
14.3.1.10.2 Hungary Smart Warehousing Market By Deployment Mode
14.3.1.10.3 Hungary Smart Warehousing Market By Organization Size
14.3.1.10.4 Hungary Smart Warehousing Market By Technology
14.3.1.10.5 Hungary Smart Warehousing Market By Application
14.3.1.10.6 Hungary Smart Warehousing Market By Industry
14.3.1.11 Turkey
14.3.1.11.1 Turkey Smart Warehousing Market By Component
14.3.1.11.2 Turkey Smart Warehousing Market By Deployment Mode
14.3.1.11.3 Turkey Smart Warehousing Market By Organization Size
14.3.1.11.4 Turkey Smart Warehousing Market By Technology
14.3.1.11.5 Turkey Smart Warehousing Market By Application
14.3.1.11.6 Turkey Smart Warehousing Market By Industry
14.3.1.12 Rest of Eastern Europe
14.3.1.12.1 Rest of Eastern Europe Smart Warehousing Market By Component
14.3.1.12.2 Rest of Eastern Europe Smart Warehousing Market By Deployment Mode
14.3.1.12.3 Rest of Eastern Europe Smart Warehousing Market By Organization Size
14.3.1.12.4 Rest of Eastern Europe Smart Warehousing Market By Technology
14.3.1.12.5 Rest of Eastern Europe Smart Warehousing Market By Application
14.3.1.12.6 Rest of Eastern Europe Smart Warehousing Market By Industry
14.3.2 Western Europe
14.3.2.1 Western Europe Smart Warehousing Market By Country
14.3.2.2 Western Europe Smart Warehousing Market By Component
14.3.2.3 Western Europe Smart Warehousing Market By Deployment Mode
14.3.2.4 Western Europe Smart Warehousing Market By Organization Size
14.3.2.5 Western Europe Smart Warehousing Market By Technology
14.3.2.6 Western Europe Smart Warehousing Market By Application
14.3.2.7 Western Europe Smart Warehousing Market By Industry
14.3.2.8 Germany
14.3.2.8.1 Germany Smart Warehousing Market By Component
14.3.2.8.2 Germany Smart Warehousing Market By Deployment Mode
14.3.2.8.3 Germany Smart Warehousing Market By Organization Size
14.3.2.8.4 Germany Smart Warehousing Market By Technology
14.3.2.8.5 Germany Smart Warehousing Market By Application
14.3.2.8.6 Germany Smart Warehousing Market By Industry
14.3.2.9 France
14.3.2.9.1 France Smart Warehousing Market By Component
14.3.2.9.2 France Smart Warehousing Market By Deployment Mode
14.3.2.9.3 France Smart Warehousing Market By Organization Size
14.3.2.9.4 France Smart Warehousing Market By Technology
14.3.2.9.5 France Smart Warehousing Market By Application
14.3.2.9.6 France Smart Warehousing Market By Industry
14.3.2.10 UK
14.3.2.10.1 UK Smart Warehousing Market By Component
14.3.2.10.2 UK Smart Warehousing Market By Deployment Mode
14.3.2.10.3 UK Smart Warehousing Market By Organization Size
14.3.2.10.4 UK Smart Warehousing Market By Technology
14.3.2.10.5 UK Smart Warehousing Market By Application
14.3.2.10.6 UK Smart Warehousing Market By Industry
14.3.2.11 Italy
14.3.2.11.1 Italy Smart Warehousing Market By Component
14.3.2.11.2 Italy Smart Warehousing Market By Deployment Mode
14.3.2.11.3 Italy Smart Warehousing Market By Organization Size
14.3.2.11.4 Italy Smart Warehousing Market By Technology
14.3.2.11.5 Italy Smart Warehousing Market By Application
14.3.2.11.6 Italy Smart Warehousing Market By Industry
14.3.2.12 Spain
14.3.2.12.1 Spain Smart Warehousing Market By Component
14.3.2.12.2 Spain Smart Warehousing Market By Deployment Mode
14.3.2.12.3 Spain Smart Warehousing Market By Organization Size
14.3.2.12.4 Spain Smart Warehousing Market By Technology
14.3.2.12.5 Spain Smart Warehousing Market By Application
14.3.2.12.6 Spain Smart Warehousing Market By Industry
14.3.2.13 The Netherlands
14.3.2.13.1 Netherlands Smart Warehousing Market By Component
14.3.2.13.2 Netherlands Smart Warehousing Market By Deployment Mode
14.3.2.13.3 Netherlands Smart Warehousing Market By Organization Size
14.3.2.13.4 Netherlands Smart Warehousing Market By Technology
14.3.2.13.5 Netherlands Smart Warehousing Market By Application
14.3.2.13.6 Netherlands Smart Warehousing Market By Industry
14.3.2.14 Switzerland
14.3.2.14.1 Switzerland Smart Warehousing Market By Component
14.3.2.14.2 Switzerland Smart Warehousing Market By Deployment Mode
14.3.2.14.3 Switzerland Smart Warehousing Market By Organization Size
14.3.2.14.4 Switzerland Smart Warehousing Market By Technology
14.3.2.14.5 Switzerland Smart Warehousing Market By Application
14.3.2.14.6 Switzerland Smart Warehousing Market By Industry
14.3.2.15 Austria
14.3.2.15.1 Austria Smart Warehousing Market By Component
14.3.2.15.2 Austria Smart Warehousing Market By Deployment Mode
14.3.2.15.3 Austria Smart Warehousing Market By Organization Size
14.3.2.15.4 Austria Smart Warehousing Market By Technology
14.3.2.15.5 Austria Smart Warehousing Market By Application
14.3.2.15.6 Austria Smart Warehousing Market By Industry
14.3.2.16 Rest of Western Europe
14.3.2.16.1 Rest of Western Europe Smart Warehousing Market By Component
14.3.2.16.2 Rest of Western Europe Smart Warehousing Market By Deployment Mode
14.3.2.16.3 Rest of Western Europe Smart Warehousing Market By Organization Size
14.3.2.16.4 Rest of Western Europe Smart Warehousing Market By Technology
14.3.2.16.5 Rest of Western Europe Smart Warehousing Market By Application
14.3.2.16.5 Rest of Western Europe Smart Warehousing Market By Industry
14.4 Asia-Pacific
14.4.1 Asia Pacific Smart Warehousing Market By Country
14.4.2 Asia Pacific Smart Warehousing Market By Component
14.4.3 Asia Pacific Smart Warehousing Market By Deployment Mode
14.4.4 Asia Pacific Smart Warehousing Market By Organization Size
14.4.5 Asia Pacific Smart Warehousing Market By Technology
14.4.6 Asia Pacific Smart Warehousing Market By Application
14.4.7 Asia Pacific Smart Warehousing Market By Industry
14.4.8 China
14.4.8.1 China Smart Warehousing Market By Component
14.4.8.2 China Smart Warehousing Market By Deployment Mode
14.4.8.3 China Smart Warehousing Market By Organization Size
14.4.8.4 China Smart Warehousing Market By Technology
14.4.8.5 China Smart Warehousing Market By Application
14.4.8.6 China Smart Warehousing Market By Industry
14.4.9 India
14.4.9.1 India Smart Warehousing Market By Component
14.4.9.2 India Smart Warehousing Market By Deployment Mode
14.4.9.3 India Smart Warehousing Market By Organization Size
14.4.9.4 India Smart Warehousing Market By Technology
14.4.9.5 India Smart Warehousing Market By Application
14.4.9.6 India Smart Warehousing Market By Industry
14.4.10 Japan
14.4.10.1 Japan Smart Warehousing Market By Component
14.4.10.2 Japan Smart Warehousing Market By Deployment Mode
14.4.10.3 Japan Smart Warehousing Market By Organization Size
14.4.10.4 Japan Smart Warehousing Market By Technology
14.4.10.5 Japan Smart Warehousing Market By Application
14.4.10.6 Japan Smart Warehousing Market By Industry
14.4.11 South Korea
14.4.11.1 South Korea Smart Warehousing Market By Component
14.4.11.2 South Korea Smart Warehousing Market By Deployment Mode
14.4.11.3 South Korea Smart Warehousing Market By Organization Size
14.4.11.4 South Korea Smart Warehousing Market By Technology
14.4.11.5 South Korea Smart Warehousing Market By Application
14.4.11.6 South Korea Digital Experience Platform By Industry
14.4.12 Vietnam
14.4.12.1 Vietnam Smart Warehousing Market By Component
14.4.12.2 Vietnam Smart Warehousing Market By Deployment Mode
14.4.12.3 Vietnam Smart Warehousing Market By Organization Size
14.4.12.4 Vietnam Smart Warehousing Market By Technology
14.4.12.5 Vietnam Smart Warehousing Market By Application
14.4.12.6 Vietnam Smart Warehousing Market By Industry
14.4.13 Singapore
14.4.13.1 Singapore Smart Warehousing Market By Component
14.4.13.2 Singapore Smart Warehousing Market By Deployment Mode
14.4.13.3 Singapore Smart Warehousing Market By Organization Size
14.4.13.4 Singapore Smart Warehousing Market By Technology
14.4.13.5 Singapore Smart Warehousing Market By Application
14.4.13.6 Singapore Smart Warehousing Market By Industry
14.4.14 Australia
14.4.14.1 Australia Smart Warehousing Market By Component
14.4.14.2 Australia Smart Warehousing Market By Deployment Mode
14.4.14.3 Australia Smart Warehousing Market By Organization Size
14.4.14.4 Australia Smart Warehousing Market By Technology
14.4.14.5 Australia Smart Warehousing Market By Application
14.4.14.6 Australia Smart Warehousing Market By Industry
14.4.15 Rest of Asia-Pacific
14.4.15.1 APAC Smart Warehousing Market By Component
14.4.15.2 APAC Smart Warehousing Market By Deployment Mode
14.4.15.3 APAC Smart Warehousing Market By Organization Size
14.4.15.4 APAC Smart Warehousing Market By Technology
14.4.15.5 APAC Smart Warehousing Market By Application
14.4.15.6 APAC Smart Warehousing Market By Industry
14.5 The Middle East & Africa
14.5.1 Middle East
14.5.1.1 Middle East Smart Warehousing Market By country
14.5.1.2 Middle East Smart Warehousing Market By Component
14.5.1.3 Middle East Smart Warehousing Market By Deployment Mode
14.5.1.4 Middle East Smart Warehousing Market By Organization Size
14.5.1.5 Middle East Smart Warehousing Market By Technology
14.5.1.6 Middle East Smart Warehousing Market By Application
14.5.1.7 Middle East Smart Warehousing Market By Industry
14.5.1.8 UAE
14.5.1.8.1 UAE Smart Warehousing Market By Component
14.5.1.8.2 UAE Smart Warehousing Market By Deployment Mode
14.5.1.8.3 UAE Smart Warehousing Market By Organization Size
14.5.1.8.4 UAE Smart Warehousing Market By Technology
14.5.1.8.5 UAE Smart Warehousing Market By Application
14.5.1.8.6 UAE Smart Warehousing Market By Industry
14.5.1.9 Egypt
14.5.1.9.1 Egypt Smart Warehousing Market By Component
14.5.1.9.2 Egypt Smart Warehousing Market By Deployment Mode
14.5.1.9.3 Egypt Smart Warehousing Market By Organization Size
14.5.1.9.4 Egypt Smart Warehousing Market By Technology
14.5.1.9.5 Egypt Smart Warehousing Market By Application
14.5.1.9.6 Egypt Smart Warehousing Market By Industry
14.5.1.10 Saudi Arabia
14.5.1.10.1 Saudi Arabia Smart Warehousing Market By Component
14.5.1.10.2 Saudi Arabia Smart Warehousing Market By Deployment Mode
14.5.1.10.3 Saudi Arabia Smart Warehousing Market By Organization Size
14.5.10.4 Saudi Arabia Smart Warehousing Market By Technology
14.5.10.5 Saudi Arabia Smart Warehousing Market By Application
14.5.10.6 Saudi Arabia Smart Warehousing Market By Industry
14.5.1.11 Qatar
14.5.1.11.1 Qatar Smart Warehousing Market By Component
14.5.1.11.2 Qatar Smart Warehousing Market By Deployment Mode
14.5.1.11.3 Qatar Smart Warehousing Market By Organization Size
14.5.1.11.4 Qatar Smart Warehousing Market By Technology
14.5.1.11.5 Qatar Smart Warehousing Market By Application
14.5.1.11.6 Qatar Smart Warehousing Market By Industry
14.5.1.12 Rest of Middle East
14.5.1.12.1 Rest of Middle East Smart Warehousing Market By Component
14.5.1.12.2 Rest of Middle East Smart Warehousing Market By Deployment Mode
14.5.1.12.3 Rest of Middle East Smart Warehousing Market By Organization Size
14.5.1.12.4 Rest of Middle East Smart Warehousing Market By Technology
14.5.1.12.5 Rest of Middle East Smart Warehousing Market By Application
14.5.1.12.6 Rest of Middle East Smart Warehousing Market By Industry
14.5.2 Africa
14.5.2.1 Africa Smart Warehousing Market By Country
14.5.2.2 Africa Smart Warehousing Market By Component
14.5.2.3 Africa Smart Warehousing Market By Deployment Mode
14.5.2.4 Africa Smart Warehousing Market By Organization Size
14.5.2.5 Africa Smart Warehousing Market By Technology
14.5.2.6 Africa Smart Warehousing Market By Application
14.5.2.7 Africa Smart Warehousing Market By Industry
14.5.2.8 Nigeria
14.5.2.8.1 Nigeria Smart Warehousing Market By Component
14.5.2.8.2 Nigeria Smart Warehousing Market By Deployment Mode
14.5.2.8.3 Nigeria Smart Warehousing Market By Organization Size
14.5.2.8.4 Nigeria Smart Warehousing Market By Technology
14.5.2.8.5 Nigeria Smart Warehousing Market By Application
14.5.2.8.6 Nigeria Smart Warehousing Market By Industry
14.5.2.9 South Africa
14.5.2.9.1 South Africa Smart Warehousing Market By Component
14.5.2.9.2 South Africa Smart Warehousing Market By Deployment Mode
14.5.2.9.3 South Africa Smart Warehousing Market By Organization Size
14.5.2.9.4 South Africa Smart Warehousing Market By Technology
14.5.2.9.5 South Africa Smart Warehousing Market By Application
14.5.2.9.6 South Africa Smart Warehousing Market By Industry
14.5.2.10 Rest of Africa
14.5.2.10.1 Rest of Africa Smart Warehousing Market By Component
14.5.2.10.2 Rest of Africa Smart Warehousing Market By Deployment Mode
14.5.2.10.3 Rest of Africa Smart Warehousing Market By Organization Size
14.5.2.10.4 Rest of Africa Smart Warehousing Market By Technology
14.5.2.10.5 Rest of Africa Smart Warehousing Market By Application
14.5.2.10.6 Rest of Africa Smart Warehousing Market By Industry
14.6 Latin America
14.6.1 Latin America Smart Warehousing Market By Country
14.6.2 Latin America Smart Warehousing Market By Component
14.6.3 Latin America Smart Warehousing Market By Deployment Mode
14.6.4 Latin America Smart Warehousing Market By Organization Size
14.6.5 Latin America Smart Warehousing Market By Technology
14.6.6 Latin America Smart Warehousing Market By Application
14.6.7 Latin America Smart Warehousing Market By Industry
14.6.8 Brazil
14.6.8.1 Brazil Smart Warehousing Market By Component
14.6.8.2 Brazil Africa Smart Warehousing Market By Deployment Mode
14.6.8.3Brazil Smart Warehousing Market By Organization Size
14.6.8.4 Brazil Smart Warehousing Market By Technology
14.6.8.5 Brazil Smart Warehousing Market By Application
14.6.8.5 Brazil Smart Warehousing Market By Industry
14.6.9 Argentina
14.6.9.1 Argentina Smart Warehousing Market By Component
14.6.9.2 Argentina Smart Warehousing Market By Deployment Mode
14.6.9.3 Argentina Smart Warehousing Market By Organization Size
14.6.9.4 Argentina Smart Warehousing Market By Technology
14.6.9.5 Argentina Smart Warehousing Market By Application
14.6.9.6 Argentina Smart Warehousing Market By Industry
14.6.10 Colombia
14.6.10.1 Colombia Smart Warehousing Market By Component
14.6.10.2 Colombia Smart Warehousing Market By Deployment Mode
14.6.10.3 Colombia Smart Warehousing Market By Organization Size
14.6.10.4 Colombia Smart Warehousing Market By Technology
14.6.10.5 Colombia Smart Warehousing Market By Application
14.6.10.6 Colombia Smart Warehousing Market By Industry
14.6.11 Rest of Latin America
14.6.11.1 Rest of Latin America Smart Warehousing Market By Component
14.6.11.2 Rest of Latin America Smart Warehousing Market By Deployment Mode
14.6.11.3 Rest of Latin America Smart Warehousing Market By Organization Size
14.6.11.4 Rest of Latin America Smart Warehousing Market By Technology
14.6.11.5 Rest of Latin America Smart Warehousing Market By Application
14.6.11.6 Rest of Latin America Smart Warehousing Market By Industry
15 Company Profile
15.1 Manhattan Associates
15.1.1 Company Overview
15.1.2 Financials
15.1.3 Product/ Services Offered
15.1.4 SWOT Analysis
15.1.5 The SNS View
15.2 Infor.
15.2.1 Company Overview
15.2.2 Financials
15.2.3 Product/ Services Offered
15.2.4 SWOT Analysis
15.2.5 The SNS View
15.3 Korber.
15.3.1 Company Overview
15.3.2 Financials
15.3.3 Product/ Services Offered
15.3.4 SWOT Analysis
15.3.5 The SNS View
15.4 Synergy Logistics.
15.4.1 Company Overview
15.4.2 Financials
15.4.3 Product/ Services Offered
15.4.4 SWOT Analysis
15.4.5 The SNS View
15.5 Generix
15.5.1 Company Overview
15.5.2 Financials
15.5.3 Product/ Services Offered
15.5.4 SWOT Analysis
15.5.5 The SNS View
15.6 3PL Central.
15.6.1 Company Overview
15.6.2 Financials
15.6.3 Product/ Services Offered
15.6.4 SWOT Analysis
15.6.5 The SNS View
15.7 PSI Logistics
15.7.1 Company Overview
15.7.2 Financials
15.7.3 Product/ Services Offered
15.7.4 SWOT Analysis
15.7.5 The SNS View
15.8 SAP.
15.8.1 Company Overview
15.8.2 Financials
15.8.3 Product/ Services Offered
15.8.4 SWOT Analysis
15.8.5 The SNS View
15.9 Epicor.
15.9.1 Company Overview
15.9.2 Financials
15.9.3 Product/ Services Offered
15.9.4 SWOT Analysis
15.9.5 The SNS View
15.10 IBM.
15.10.1 Company Overview
15.10.2 Financials
15.10.3 Product/ Services Offered
15.10.4 SWOT Analysis
15.10.5 The SNS View
16. Competitive Landscape
16.1 Competitive Benchmarking
16.2 Market Share Analysis
16.3 Recent Developments
16.3.1 Industry News
16.3.2 Company News
16.3.3 Mergers & Acquisitions
17. USE Cases and Best Practices
18. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
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.
The Metrology Software Market size was valued at USD 915.57 Million in 2022 and is expected to reach USD 1570.78 Million by 2030, and grow at a CAGR of 6.98% over the forecast period 2023-2030.
The Payment Processing Solutions Market size was valued at US$ 93.82 billion in 2022 and is estimated to reach US$ 194.19 billion in 2030 with a growing CAGR of 9.52% Over the Forecast Period of 2023-2030.
The Queue Management System Market size was USD 815.8 Million in 2023 and is expected to Reach USD 1455.08 Million by 2031 and grow at a CAGR of 7.5% over the forecast period of 2024-2031.
The E-Signature Software Market size was valued at USD 4.98 Bn in 2022 and is expected to reach USD 44.44 Bn by 2030, and grow at a CAGR of 31.46% over the forecast period 2023-2030.
The Business Intelligence (BI) Software Market size was valued at USD 28.56 Bn in 2022 and is expected to reach USD 60.64 Bn by 2030, and grow at a CAGR of 9.87% over the forecast period 2023-2030.
The Graph Database Market size was valued at US$ 2.25 billion in 2022 and is expected to reach US$ 11.55 billion in 2030 with a growing CAGR of 22.7% over the forecast period 2023-2030.
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