Global Smart Warehousing Market Overview

The Global Smart Warehousing Market size is expected to grow from USD 16.48 billion in 2022 to USD 36.9 billion by 2030, at a CAGR of 10.6% during the forecast period (2023-2030).

The ultimate of warehouse automation is a smart warehouse (in other words, automating various components of your warehousing operations). A smart warehouse, like a smart home, is equipped with several automated and networked technology. These technologies work together to boost warehouse productivity and efficiency while reducing mistakes and reducing the number of human workers. Smart warehouse solutions are designed to give businesses real-time visibility into their operations, allowing them to optimize procedures and make quick adjustments to boost efficiency. Smart warehouses can also eliminate the bulk of human error and improve facility safety and security. Overall, the key advantages of a smart warehouse are its capacity to save time and money, enhance profitability, and improve client and customer happiness. As the demand for inventory management accuracy develops as a result of the rise in online shopping, smart warehouses have become increasingly vital and useful. Online businesses must give consumers reliable, real-time information regarding product availability. This is made possible by the data visibility provided by smart warehouse systems, which also helps to reduce out-of-stock problems, improve customer service, and increase customer happiness, resulting in increased customer and brand loyalty.

Smart warehousing features like automated picking and mobile sorting solutions allow you to store more items in less space by allowing you to have taller racks and smaller lanes in the warehouse. Ocado, a British online food business, for example, employed warehouse automation and saved a lot of space. Simple bots are used to move and lift goods. They can lift boxes higher than a person can. The smart warehouse can process over 60,000 orders each week and is open 24 hours a day, seven days a week. According to Knight Frank's 2020 estimate, the United Kingdom alone would need 92 million square feet of warehouse space by 2024. This means that, in the future, it will be critical to make cost-effective use of the currently restricted places. As a result, warehouse automation was born.

Market Dynamics And Factors For Smart Warehousing Market

Drivers:

Faster shipping

Order processing requires a disproportionate amount of time in a standard warehouse. Picking merchandise and filling orders on the warehouse floor takes a lot of time for associates. Picking mistakes also create further delays in order processing, sorting, and packaging. Picking errors are estimated to occur between 1% and 3% of the time in a typical warehouse. Picking mistake rates may be reduced to near zero using smart warehouse systems. Collaborative mobile robots and automated picking systems cut order picking time and eliminate the need for warehouse personnel to trek vast distances. These characteristics help to expedite order delivery. For e-commerce customers, shipping time is second only to the product price in terms of importance when making a purchase. In this era of e-commerce dominance, faster shipping is a crucial competitive advantage to have.

Augmented Warehouse Space Utilization

Warehouse space utilization may also be improved with smart warehouses. Because traffic and aisle congestion are decreased compared to traditional warehouses, automated picking and mobile sorting systems can allow for taller racks and narrower aisles, allowing for more items to be kept in the same amount of space. Increased warehouse space utilization helps reduce overhead costs per unit of goods sold. This cost reduction can be passed on to end-users in the form of cheaper pricing or improved profit margins for the operator.

Restraints:

Organizational readiness for smart warehousing is influenced by top management and cost, but adoption of smart warehousing is influenced by external pressure, government assistance, and geographic location.

Challenges:

Overall, there is a great deal of uncertainty as a result of developments such as globalization and supply chain interdependence, posing significant challenges for warehouse management. The current study is limited to configurations with a certain capacity and location characteristics; therefore, it isn't yet ready for large data, and the reading performance of passive and active RFID tags (Radio-Frequency Identification Systems) in various systems and components of the system is unknown.

Another challenge in creating a smart warehouse is ensuring the system's security. The need for technological advancements is undeniable, but the acceptance of these advancements is not. When it comes to the privacy and confidentiality of the data obtained by the system, there are significant concerns. Another security risk to consider is any hazardous harm caused by incompatibility between items within the warehouse since the system should be capable of preventing such threats. Last but not least, the system must consider human safety. It's difficult to judge how adaptable today's systems are in terms of data processing, storage, adapting to new technologies, security, and merging systems from multiple supply chain participants.

Opportunities:

The Future of The Smart Warehouse

Smart warehouses represent a shift away from complex, unchanging, reactive supply chains and toward quicker, smarter, automated systems, which is anticipated to continue. As corporations install smart warehouse systems and can perform more efficiently at comparable, if not lower, prices, outsourcing and China's dominance in manufacturing will go away. The boundary between a warehouse and a factory may also blur as smart technology enable businesses to make things on demand and ship them to customers right away. This will be made feasible by cobots, or human-like robots, as well as an increase in 3D printing. Standards for how IoT devices communicate, store, and process data are expected to be developed.

Market Segmentation

Segmentation Analysis of Smart Warehousing Market:

Based on the component, the hardware segment is expected to hold the maximum market share during the forecast period. This rise can be due to the growing popularity of smartphone devices across multiple sectors, which can quickly deploy inventory management systems and automated picking tools to handle the inventory process and lower total labor costs. Vendors are developing smart warehousing hardware in response to a growth in consumer demand for IoT, sensors, and AI technologies to enhance warehouse operations.

Based on the technology, the AI segment is expected to dominate the smart warehousing market throughout the forecast period. AI can assist warehouses in becoming "smart." The entire operation, from purchase to delivery, will be managed by AI in a 'smart warehouse.' Pick-and-pack processes may be streamlined with the use of artificial intelligence. AI solutions may operate 24 hours a day, seven days a week. To ensure accurate and precise inventory control, AI robots may be used to scan digital tags. AI robots can figure out the quickest paths to arrange objects and even avoid colliding with one another. They can assist in reducing the time and distance required to place items in warehouse inventory. As a result of these reasons, this segment is expected to increase throughout the projected period.

Based on the application, the inventory management segment is anticipated to register significant market growth during the forecast period. Due to they keep the most crucial aspect of the business, inventory, warehouses are critical to e-commerce success. Internal operations must be as efficient as possible, regardless of whether the warehouse is in-house or outsourced to a 3PL fulfillment business. Prioritizing efficiency guarantees prompt order fulfillment for the end consumer while lowering costs thanks to a well-functioning supply chain. Warehouses, on the other hand, lose money every day due to incorrect shipments, refunds, erroneous inventory counts, and human error. Inefficient procedures are the root of all of these mistakes. For example, a corporation must spend an average of $22 in labor expenses and consumer effect each time a faulty cargo is sent out. Through barcode scanning, warehouse management software combined with an inventory management system may solve these inefficiencies and reduce errors.

Regional Analysis of Smart Warehousing Market:

North America accounts for the largest revenue share contribution to the global smart warehousing market owing to various factors such as rising adoption of smart warehousing hardware, software, and services, early adoption of new technological advancements, and the presence of key players in this region. Because of the growing demand for automated warehouse cycles for increased productivity, effectiveness, and precision, smart warehousing technologies, solutions, and services are expected to gain traction in this area. Smart warehouse solutions allow for greater adaptability and increase employee capacity. Manhattan Associates, for example, announced the Manhattan Active Warehouse Management agreement in May 2020. Inside distribution management, Manhattan Active WMS clients enjoy a new level of speed, agility, and ease. In addition, the market in North America is driven by the early adoption of modern technologies and the presence of important competitors.

Due to rapid technological progress and the growing e-commerce sector, Asia Pacific is predicted to have the quickest growth in the worldwide smart warehousing market. Malaysia, for example, would leverage the new Cainiao emphasis to expand as an air freight center, according to news released on November 4th, 2021. It includes a 100,000-square-meter warehouse for freight terminal operations, warehousing, and logistics, as well as a computerized customs clearing technology that reduces clearance time from 24-48 hours to only an hour and a half. The e-commerce business is growing as a result of the increased usage of smartphones, which is driving the smart warehousing market in this area. According to the Indian Brand Equity Foundation (IBEF), smartphone consumers are predicted to reach 476 million by 2022, and e-commerce sales are expected to increase by 1,200 percent by 2026.

Players Covered in Smart Warehousing Market are:

• IBM (US)
• Oracle (US)
• SAP (Germany)
• EasyEcom (India)
• Manhattan Associates (US)
• PSI Logistics (Germany)
• PTC (US)
• Tecsys (Canada)
• Reply (Italy)
• Infor (US)
• Korber (Germany)
• Softeon (US)
• Generic (France)
• Microlistics (Australia)
• Blue Yonder (US)
• Vinculum (India)
• IAM Robotics (US)
• Epicor (US)
• 3PL Central (US)
• BlueJay Solutions (US)
• Mantis (US)
• Synergy Logistics (US)
• WareIQ (India)
• Foysonis (US)
• Increff (India)
• Locus Robotics (US)
• ShipHero (US)
• Orderhive US)
• Unicommerce (India)
• Logiwa (US) and other major players.

COVID-19 Impact on Smart Warehousing Market

Global supply chains have been affected by the COVID-19 pandemic, which has outpaced and impacted both supply and demand at a faster rate. COVID, on the other hand, will have a long-term influence on the warehouse. As the virus spreads throughout the world, an outbreak or transit delay in one region of the world might have a disastrous effect on the rest of the world, prompting shutdowns owing to warehouse closures or supplies that are missing or delayed. The overall outlook for storage is quite positive. The convergence of retail and warehousing has been advanced through COVID-19. Overall, members agreed that while consumption may decline this year, e-commerce and warehousing will gain significant market share. The pricing power is a source of worry among members. The industry will prosper as the tenant portfolio diversifies. Nonetheless, renters are consolidating at a rate of 25% of the overall pool, shifting price power to the tenant. Of course, the effort to automate warehouses was in full swing before the Covid-19, but the global epidemic prompted enterprises to shift their warehouse automation strategy from "nice to have" to "must-have" if they wanted to stay in business. One of the lessons learned from the COVID-19 pandemic is that mega-trends such as aging populations, globalization, health and safety, mobility, green logistics, autonomous worlds, urbanization, individualization, and digitization must be given more attention and weight than in the past, with a long-term perspective, so that we are prepared to face any challenge. Some industries saw record demand, while others saw demand decline, resulting in a negative influence on the smart warehousing market as a whole. Following COVID-19, warehouse and supply chain industries have adopted and deployed automation technology such as Assisted Guided Vehicles (AGV), forklift automation, robots, and smart sorting to help firms operate more efficiently to turn the development of the smart warehousing market.

Key Industry Developments In Smart Warehousing Market

• In October 2021, Smart Warehousing, a nationwide provider of warehousing and fulfillment services, has opened an Innovation Hub in its Edgerton, Kansas headquarters. The move, according to the firm, would allow it to become a major fulfillment player while also promoting strategic alliances with warehousing automation companies, which will utilize the Kansas site to test the technology in real-world circumstances.
• In August 2021, SwoopTalent, a prominent provider of AI-powered platforms, has been purchased by SAP to boost organizational agility and accelerate corporate growth. SAP intends to employ SwoopTalent's technology to improve its AI capabilities and give customers a comprehensive and constantly updated view of their customers.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Component
 3.2 By Technology
 3.3 By Application
 3.4 By Vertical

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Smart Warehousing Market by Component
 5.1 Smart Warehousing Market Overview Snapshot and Growth Engine
 5.2 Smart Warehousing Market Overview
 5.3 Hardware
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Hardware: Grographic Segmentation
 5.4 Solutions
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Solutions: Grographic Segmentation
 5.5 Services
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size (2016-2028F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Services: Grographic Segmentation

Chapter 6: Smart Warehousing Market by Technology
 6.1 Smart Warehousing Market Overview Snapshot and Growth Engine
 6.2 Smart Warehousing Market Overview
 6.3 IoT & Analytics
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 IoT & Analytics: Grographic Segmentation
 6.4 RFID
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 RFID: Grographic Segmentation
 6.5 AI
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size (2016-2028F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 AI: Grographic Segmentation
 6.6 AGV
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size (2016-2028F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 AGV: Grographic Segmentation

Chapter 7: Smart Warehousing Market by Application
 7.1 Smart Warehousing Market Overview Snapshot and Growth Engine
 7.2 Smart Warehousing Market Overview
 7.3 Inventory Management
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Inventory Management: Grographic Segmentation
 7.4 Transport Management
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Transport Management: Grographic Segmentation
 7.5 Shipping Management
  7.5.1 Introduction and Market Overview
  7.5.2 Historic and Forecasted Market Size (2016-2028F)
  7.5.3 Key Market Trends, Growth Factors and Opportunities
  7.5.4 Shipping Management: Grographic Segmentation
 7.6 Order Management
  7.6.1 Introduction and Market Overview
  7.6.2 Historic and Forecasted Market Size (2016-2028F)
  7.6.3 Key Market Trends, Growth Factors and Opportunities
  7.6.4 Order Management: Grographic Segmentation
 7.7 Others
  7.7.1 Introduction and Market Overview
  7.7.2 Historic and Forecasted Market Size (2016-2028F)
  7.7.3 Key Market Trends, Growth Factors and Opportunities
  7.7.4 Others: Grographic Segmentation

Chapter 8: Smart Warehousing Market by Vertical
 8.1 Smart Warehousing Market Overview Snapshot and Growth Engine
 8.2 Smart Warehousing Market Overview
 8.3 Energy & Utilities
  8.3.1 Introduction and Market Overview
  8.3.2 Historic and Forecasted Market Size (2016-2028F)
  8.3.3 Key Market Trends, Growth Factors and Opportunities
  8.3.4 Energy & Utilities: Grographic Segmentation
 8.4 Transportation & Logistics
  8.4.1 Introduction and Market Overview
  8.4.2 Historic and Forecasted Market Size (2016-2028F)
  8.4.3 Key Market Trends, Growth Factors and Opportunities
  8.4.4 Transportation & Logistics: Grographic Segmentation
 8.5 Retail & E-commerce
  8.5.1 Introduction and Market Overview
  8.5.2 Historic and Forecasted Market Size (2016-2028F)
  8.5.3 Key Market Trends, Growth Factors and Opportunities
  8.5.4 Retail & E-commerce: Grographic Segmentation
 8.6 Agriculture
  8.6.1 Introduction and Market Overview
  8.6.2 Historic and Forecasted Market Size (2016-2028F)
  8.6.3 Key Market Trends, Growth Factors and Opportunities
  8.6.4 Agriculture: Grographic Segmentation
 8.7 Other
  8.7.1 Introduction and Market Overview
  8.7.2 Historic and Forecasted Market Size (2016-2028F)
  8.7.3 Key Market Trends, Growth Factors and Opportunities
  8.7.4 Other: Grographic Segmentation

Chapter 9: Company Profiles and Competitive Analysis
 9.1 Competitive Landscape
  9.1.1 Competitive Positioning
  9.1.2 Smart Warehousing Sales and Market Share By Players
  9.1.3 Industry BCG Matrix
  9.1.4 Ansoff Matrix
  9.1.5 Smart Warehousing Industry Concentration Ratio (CR5 and HHI)
  9.1.6 Top 5 Smart Warehousing Players Market Share
  9.1.7 Mergers and Acquisitions
  9.1.8 Business Strategies By Top Players
 9.2 IBM
  9.2.1 Company Overview
  9.2.2 Key Executives
  9.2.3 Company Snapshot
  9.2.4 Operating Business Segments
  9.2.5 Product Portfolio
  9.2.6 Business Performance
  9.2.7 Key Strategic Moves and Recent Developments
  9.2.8 SWOT Analysis
 9.3 ORACLE
 9.4 SAP
 9.5 EASYECOM
 9.6 MANHATTAN ASSOCIATES
 9.7 PSI LOGISTICS
 9.8 PTC
 9.9 TECSYS
 9.10 REPLY
 9.11 INFOR
 9.12 KORBER
 9.13 SOFTEON
 9.14 GENERIC
 9.15 MICROLISTICS
 9.16 BLUE YONDER
 9.17 VINCULUM
 9.18 IAM ROBOTICS
 9.19 EPICOR
 9.20 3PL CENTRAL
 9.21 BLUEJAY SOLUTIONS
 9.22 MANTIS
 9.23 SYNERGY LOGISTICS
 9.24 WAREIQ
 9.25 FOYSONIS
 9.26 INCREFF
 9.27 LOCUS ROBOTICS
 9.28 SHIPHERO
 9.29 ORDERHIVE
 9.30 UNICOMMERCE
 9.31 LOGIWA
 9.32 OTHER MAJOR PLAYERS

Chapter 10: Global Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 10.1 Market Overview
 10.2 Historic and Forecasted Market Size By Component
  10.2.1 Hardware
  10.2.2 Solutions
  10.2.3 Services
 10.3 Historic and Forecasted Market Size By Technology
  10.3.1 IoT & Analytics
  10.3.2 RFID
  10.3.3 AI
  10.3.4 AGV
 10.4 Historic and Forecasted Market Size By Application
  10.4.1 Inventory Management
  10.4.2 Transport Management
  10.4.3 Shipping Management
  10.4.4 Order Management
  10.4.5 Others
 10.5 Historic and Forecasted Market Size By Vertical
  10.5.1 Energy & Utilities
  10.5.2 Transportation & Logistics
  10.5.3 Retail & E-commerce
  10.5.4 Agriculture
  10.5.5 Other

Chapter 11: North America Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Component
  11.4.1 Hardware
  11.4.2 Solutions
  11.4.3 Services
 11.5 Historic and Forecasted Market Size By Technology
  11.5.1 IoT & Analytics
  11.5.2 RFID
  11.5.3 AI
  11.5.4 AGV
 11.6 Historic and Forecasted Market Size By Application
  11.6.1 Inventory Management
  11.6.2 Transport Management
  11.6.3 Shipping Management
  11.6.4 Order Management
  11.6.5 Others
 11.7 Historic and Forecasted Market Size By Vertical
  11.7.1 Energy & Utilities
  11.7.2 Transportation & Logistics
  11.7.3 Retail & E-commerce
  11.7.4 Agriculture
  11.7.5 Other
 11.8 Historic and Forecast Market Size by Country
  11.8.1 U.S.
  11.8.2 Canada
  11.8.3 Mexico

Chapter 12: Europe Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Component
  12.4.1 Hardware
  12.4.2 Solutions
  12.4.3 Services
 12.5 Historic and Forecasted Market Size By Technology
  12.5.1 IoT & Analytics
  12.5.2 RFID
  12.5.3 AI
  12.5.4 AGV
 12.6 Historic and Forecasted Market Size By Application
  12.6.1 Inventory Management
  12.6.2 Transport Management
  12.6.3 Shipping Management
  12.6.4 Order Management
  12.6.5 Others
 12.7 Historic and Forecasted Market Size By Vertical
  12.7.1 Energy & Utilities
  12.7.2 Transportation & Logistics
  12.7.3 Retail & E-commerce
  12.7.4 Agriculture
  12.7.5 Other
 12.8 Historic and Forecast Market Size by Country
  12.8.1 Germany
  12.8.2 U.K.
  12.8.3 France
  12.8.4 Italy
  12.8.5 Russia
  12.8.6 Spain
  12.8.7 Rest of Europe

Chapter 13: Asia-Pacific Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Component
  13.4.1 Hardware
  13.4.2 Solutions
  13.4.3 Services
 13.5 Historic and Forecasted Market Size By Technology
  13.5.1 IoT & Analytics
  13.5.2 RFID
  13.5.3 AI
  13.5.4 AGV
 13.6 Historic and Forecasted Market Size By Application
  13.6.1 Inventory Management
  13.6.2 Transport Management
  13.6.3 Shipping Management
  13.6.4 Order Management
  13.6.5 Others
 13.7 Historic and Forecasted Market Size By Vertical
  13.7.1 Energy & Utilities
  13.7.2 Transportation & Logistics
  13.7.3 Retail & E-commerce
  13.7.4 Agriculture
  13.7.5 Other
 13.8 Historic and Forecast Market Size by Country
  13.8.1 China
  13.8.2 India
  13.8.3 Japan
  13.8.4 Singapore
  13.8.5 Australia
  13.8.6 New Zealand
  13.8.7 Rest of APAC

Chapter 14: Middle East & Africa Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Component
  14.4.1 Hardware
  14.4.2 Solutions
  14.4.3 Services
 14.5 Historic and Forecasted Market Size By Technology
  14.5.1 IoT & Analytics
  14.5.2 RFID
  14.5.3 AI
  14.5.4 AGV
 14.6 Historic and Forecasted Market Size By Application
  14.6.1 Inventory Management
  14.6.2 Transport Management
  14.6.3 Shipping Management
  14.6.4 Order Management
  14.6.5 Others
 14.7 Historic and Forecasted Market Size By Vertical
  14.7.1 Energy & Utilities
  14.7.2 Transportation & Logistics
  14.7.3 Retail & E-commerce
  14.7.4 Agriculture
  14.7.5 Other
 14.8 Historic and Forecast Market Size by Country
  14.8.1 Turkey
  14.8.2 Saudi Arabia
  14.8.3 Iran
  14.8.4 UAE
  14.8.5 Africa
  14.8.6 Rest of MEA

Chapter 15: South America Smart Warehousing Market Analysis, Insights and Forecast, 2016-2028
 15.1 Key Market Trends, Growth Factors and Opportunities
 15.2 Impact of Covid-19
 15.3 Key Players
 15.4 Key Market Trends, Growth Factors and Opportunities
 15.4 Historic and Forecasted Market Size By Component
  15.4.1 Hardware
  15.4.2 Solutions
  15.4.3 Services
 15.5 Historic and Forecasted Market Size By Technology
  15.5.1 IoT & Analytics
  15.5.2 RFID
  15.5.3 AI
  15.5.4 AGV
 15.6 Historic and Forecasted Market Size By Application
  15.6.1 Inventory Management
  15.6.2 Transport Management
  15.6.3 Shipping Management
  15.6.4 Order Management
  15.6.5 Others
 15.7 Historic and Forecasted Market Size By Vertical
  15.7.1 Energy & Utilities
  15.7.2 Transportation & Logistics
  15.7.3 Retail & E-commerce
  15.7.4 Agriculture
  15.7.5 Other
 15.8 Historic and Forecast Market Size by Country
  15.8.1 Brazil
  15.8.2 Argentina
  15.8.3 Rest of SA

Chapter 16 Investment Analysis

Chapter 17 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. SMART WAREHOUSING MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. SMART WAREHOUSING MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. SMART WAREHOUSING MARKET COMPETITIVE RIVALRY
TABLE 005. SMART WAREHOUSING MARKET THREAT OF NEW ENTRANTS
TABLE 006. SMART WAREHOUSING MARKET THREAT OF SUBSTITUTES
TABLE 007. SMART WAREHOUSING MARKET BY COMPONENT
TABLE 008. HARDWARE MARKET OVERVIEW (2016-2028)
TABLE 009. SOLUTIONS MARKET OVERVIEW (2016-2028)
TABLE 010. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 011. SMART WAREHOUSING MARKET BY TECHNOLOGY
TABLE 012. IOT & ANALYTICS MARKET OVERVIEW (2016-2028)
TABLE 013. RFID MARKET OVERVIEW (2016-2028)
TABLE 014. AI MARKET OVERVIEW (2016-2028)
TABLE 015. AGV MARKET OVERVIEW (2016-2028)
TABLE 016. SMART WAREHOUSING MARKET BY APPLICATION
TABLE 017. INVENTORY MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 018. TRANSPORT MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 019. SHIPPING MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 020. ORDER MANAGEMENT MARKET OVERVIEW (2016-2028)
TABLE 021. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 022. SMART WAREHOUSING MARKET BY VERTICAL
TABLE 023. ENERGY & UTILITIES MARKET OVERVIEW (2016-2028)
TABLE 024. TRANSPORTATION & LOGISTICS MARKET OVERVIEW (2016-2028)
TABLE 025. RETAIL & E-COMMERCE MARKET OVERVIEW (2016-2028)
TABLE 026. AGRICULTURE MARKET OVERVIEW (2016-2028)
TABLE 027. OTHER MARKET OVERVIEW (2016-2028)
TABLE 028. NORTH AMERICA SMART WAREHOUSING MARKET, BY COMPONENT (2016-2028)
TABLE 029. NORTH AMERICA SMART WAREHOUSING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 030. NORTH AMERICA SMART WAREHOUSING MARKET, BY APPLICATION (2016-2028)
TABLE 031. NORTH AMERICA SMART WAREHOUSING MARKET, BY VERTICAL (2016-2028)
TABLE 032. N SMART WAREHOUSING MARKET, BY COUNTRY (2016-2028)
TABLE 033. EUROPE SMART WAREHOUSING MARKET, BY COMPONENT (2016-2028)
TABLE 034. EUROPE SMART WAREHOUSING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 035. EUROPE SMART WAREHOUSING MARKET, BY APPLICATION (2016-2028)
TABLE 036. EUROPE SMART WAREHOUSING MARKET, BY VERTICAL (2016-2028)
TABLE 037. SMART WAREHOUSING MARKET, BY COUNTRY (2016-2028)
TABLE 038. ASIA PACIFIC SMART WAREHOUSING MARKET, BY COMPONENT (2016-2028)
TABLE 039. ASIA PACIFIC SMART WAREHOUSING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 040. ASIA PACIFIC SMART WAREHOUSING MARKET, BY APPLICATION (2016-2028)
TABLE 041. ASIA PACIFIC SMART WAREHOUSING MARKET, BY VERTICAL (2016-2028)
TABLE 042. SMART WAREHOUSING MARKET, BY COUNTRY (2016-2028)
TABLE 043. MIDDLE EAST & AFRICA SMART WAREHOUSING MARKET, BY COMPONENT (2016-2028)
TABLE 044. MIDDLE EAST & AFRICA SMART WAREHOUSING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 045. MIDDLE EAST & AFRICA SMART WAREHOUSING MARKET, BY APPLICATION (2016-2028)
TABLE 046. MIDDLE EAST & AFRICA SMART WAREHOUSING MARKET, BY VERTICAL (2016-2028)
TABLE 047. SMART WAREHOUSING MARKET, BY COUNTRY (2016-2028)
TABLE 048. SOUTH AMERICA SMART WAREHOUSING MARKET, BY COMPONENT (2016-2028)
TABLE 049. SOUTH AMERICA SMART WAREHOUSING MARKET, BY TECHNOLOGY (2016-2028)
TABLE 050. SOUTH AMERICA SMART WAREHOUSING MARKET, BY APPLICATION (2016-2028)
TABLE 051. SOUTH AMERICA SMART WAREHOUSING MARKET, BY VERTICAL (2016-2028)
TABLE 052. SMART WAREHOUSING MARKET, BY COUNTRY (2016-2028)
TABLE 053. IBM: SNAPSHOT
TABLE 054. IBM: BUSINESS PERFORMANCE
TABLE 055. IBM: PRODUCT PORTFOLIO
TABLE 056. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. ORACLE: SNAPSHOT
TABLE 057. ORACLE: BUSINESS PERFORMANCE
TABLE 058. ORACLE: PRODUCT PORTFOLIO
TABLE 059. ORACLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. SAP: SNAPSHOT
TABLE 060. SAP: BUSINESS PERFORMANCE
TABLE 061. SAP: PRODUCT PORTFOLIO
TABLE 062. SAP: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. EASYECOM: SNAPSHOT
TABLE 063. EASYECOM: BUSINESS PERFORMANCE
TABLE 064. EASYECOM: PRODUCT PORTFOLIO
TABLE 065. EASYECOM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. MANHATTAN ASSOCIATES: SNAPSHOT
TABLE 066. MANHATTAN ASSOCIATES: BUSINESS PERFORMANCE
TABLE 067. MANHATTAN ASSOCIATES: PRODUCT PORTFOLIO
TABLE 068. MANHATTAN ASSOCIATES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. PSI LOGISTICS: SNAPSHOT
TABLE 069. PSI LOGISTICS: BUSINESS PERFORMANCE
TABLE 070. PSI LOGISTICS: PRODUCT PORTFOLIO
TABLE 071. PSI LOGISTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. PTC: SNAPSHOT
TABLE 072. PTC: BUSINESS PERFORMANCE
TABLE 073. PTC: PRODUCT PORTFOLIO
TABLE 074. PTC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. TECSYS: SNAPSHOT
TABLE 075. TECSYS: BUSINESS PERFORMANCE
TABLE 076. TECSYS: PRODUCT PORTFOLIO
TABLE 077. TECSYS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. REPLY: SNAPSHOT
TABLE 078. REPLY: BUSINESS PERFORMANCE
TABLE 079. REPLY: PRODUCT PORTFOLIO
TABLE 080. REPLY: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. INFOR: SNAPSHOT
TABLE 081. INFOR: BUSINESS PERFORMANCE
TABLE 082. INFOR: PRODUCT PORTFOLIO
TABLE 083. INFOR: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. KORBER: SNAPSHOT
TABLE 084. KORBER: BUSINESS PERFORMANCE
TABLE 085. KORBER: PRODUCT PORTFOLIO
TABLE 086. KORBER: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 086. SOFTEON: SNAPSHOT
TABLE 087. SOFTEON: BUSINESS PERFORMANCE
TABLE 088. SOFTEON: PRODUCT PORTFOLIO
TABLE 089. SOFTEON: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 089. GENERIC: SNAPSHOT
TABLE 090. GENERIC: BUSINESS PERFORMANCE
TABLE 091. GENERIC: PRODUCT PORTFOLIO
TABLE 092. GENERIC: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 092. MICROLISTICS: SNAPSHOT
TABLE 093. MICROLISTICS: BUSINESS PERFORMANCE
TABLE 094. MICROLISTICS: PRODUCT PORTFOLIO
TABLE 095. MICROLISTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 095. BLUE YONDER: SNAPSHOT
TABLE 096. BLUE YONDER: BUSINESS PERFORMANCE
TABLE 097. BLUE YONDER: PRODUCT PORTFOLIO
TABLE 098. BLUE YONDER: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 098. VINCULUM: SNAPSHOT
TABLE 099. VINCULUM: BUSINESS PERFORMANCE
TABLE 100. VINCULUM: PRODUCT PORTFOLIO
TABLE 101. VINCULUM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 101. IAM ROBOTICS: SNAPSHOT
TABLE 102. IAM ROBOTICS: BUSINESS PERFORMANCE
TABLE 103. IAM ROBOTICS: PRODUCT PORTFOLIO
TABLE 104. IAM ROBOTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 104. EPICOR: SNAPSHOT
TABLE 105. EPICOR: BUSINESS PERFORMANCE
TABLE 106. EPICOR: PRODUCT PORTFOLIO
TABLE 107. EPICOR: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 107. 3PL CENTRAL: SNAPSHOT
TABLE 108. 3PL CENTRAL: BUSINESS PERFORMANCE
TABLE 109. 3PL CENTRAL: PRODUCT PORTFOLIO
TABLE 110. 3PL CENTRAL: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 110. BLUEJAY SOLUTIONS: SNAPSHOT
TABLE 111. BLUEJAY SOLUTIONS: BUSINESS PERFORMANCE
TABLE 112. BLUEJAY SOLUTIONS: PRODUCT PORTFOLIO
TABLE 113. BLUEJAY SOLUTIONS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 113. MANTIS: SNAPSHOT
TABLE 114. MANTIS: BUSINESS PERFORMANCE
TABLE 115. MANTIS: PRODUCT PORTFOLIO
TABLE 116. MANTIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 116. SYNERGY LOGISTICS: SNAPSHOT
TABLE 117. SYNERGY LOGISTICS: BUSINESS PERFORMANCE
TABLE 118. SYNERGY LOGISTICS: PRODUCT PORTFOLIO
TABLE 119. SYNERGY LOGISTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 119. WAREIQ: SNAPSHOT
TABLE 120. WAREIQ: BUSINESS PERFORMANCE
TABLE 121. WAREIQ: PRODUCT PORTFOLIO
TABLE 122. WAREIQ: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 122. FOYSONIS: SNAPSHOT
TABLE 123. FOYSONIS: BUSINESS PERFORMANCE
TABLE 124. FOYSONIS: PRODUCT PORTFOLIO
TABLE 125. FOYSONIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 125. INCREFF: SNAPSHOT
TABLE 126. INCREFF: BUSINESS PERFORMANCE
TABLE 127. INCREFF: PRODUCT PORTFOLIO
TABLE 128. INCREFF: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128. LOCUS ROBOTICS: SNAPSHOT
TABLE 129. LOCUS ROBOTICS: BUSINESS PERFORMANCE
TABLE 130. LOCUS ROBOTICS: PRODUCT PORTFOLIO
TABLE 131. LOCUS ROBOTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 131. SHIPHERO: SNAPSHOT
TABLE 132. SHIPHERO: BUSINESS PERFORMANCE
TABLE 133. SHIPHERO: PRODUCT PORTFOLIO
TABLE 134. SHIPHERO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 134. ORDERHIVE: SNAPSHOT
TABLE 135. ORDERHIVE: BUSINESS PERFORMANCE
TABLE 136. ORDERHIVE: PRODUCT PORTFOLIO
TABLE 137. ORDERHIVE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 137. UNICOMMERCE: SNAPSHOT
TABLE 138. UNICOMMERCE: BUSINESS PERFORMANCE
TABLE 139. UNICOMMERCE: PRODUCT PORTFOLIO
TABLE 140. UNICOMMERCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 140. LOGIWA: SNAPSHOT
TABLE 141. LOGIWA: BUSINESS PERFORMANCE
TABLE 142. LOGIWA: PRODUCT PORTFOLIO
TABLE 143. LOGIWA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 143. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 144. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 145. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 146. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. SMART WAREHOUSING MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. SMART WAREHOUSING MARKET OVERVIEW BY COMPONENT
FIGURE 012. HARDWARE MARKET OVERVIEW (2016-2028)
FIGURE 013. SOLUTIONS MARKET OVERVIEW (2016-2028)
FIGURE 014. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 015. SMART WAREHOUSING MARKET OVERVIEW BY TECHNOLOGY
FIGURE 016. IOT & ANALYTICS MARKET OVERVIEW (2016-2028)
FIGURE 017. RFID MARKET OVERVIEW (2016-2028)
FIGURE 018. AI MARKET OVERVIEW (2016-2028)
FIGURE 019. AGV MARKET OVERVIEW (2016-2028)
FIGURE 020. SMART WAREHOUSING MARKET OVERVIEW BY APPLICATION
FIGURE 021. INVENTORY MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 022. TRANSPORT MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 023. SHIPPING MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 024. ORDER MANAGEMENT MARKET OVERVIEW (2016-2028)
FIGURE 025. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 026. SMART WAREHOUSING MARKET OVERVIEW BY VERTICAL
FIGURE 027. ENERGY & UTILITIES MARKET OVERVIEW (2016-2028)
FIGURE 028. TRANSPORTATION & LOGISTICS MARKET OVERVIEW (2016-2028)
FIGURE 029. RETAIL & E-COMMERCE MARKET OVERVIEW (2016-2028)
FIGURE 030. AGRICULTURE MARKET OVERVIEW (2016-2028)
FIGURE 031. OTHER MARKET OVERVIEW (2016-2028)
FIGURE 032. NORTH AMERICA SMART WAREHOUSING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 033. EUROPE SMART WAREHOUSING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 034. ASIA PACIFIC SMART WAREHOUSING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 035. MIDDLE EAST & AFRICA SMART WAREHOUSING MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 036. SOUTH AMERICA SMART WAREHOUSING MARKET OVERVIEW BY COUNTRY (2016-2028)