The Latin America, Middle East and Africa Smart Warehousing Market is expected to witness market growth of 16.5% CAGR during the forecast period (2022-2028).
Smart warehouses are modelled after smart plants and operate in similar information-driven environments. They combine several computerized & interconnected technologies to create a technical environment in which demands and goods can be received, organized, categorized, identified and prepared for transportation. This collaboration of innovations allows warehouse workers to increase the facility's utility, quality, and production while reducing the number of errors and reducing the number of human workers necessary. Artificial intelligence (AI), Robotics, and the Internet of Things (IoT) are heavily used in smart warehouses to allow technology to conduct tasks such as inventory management and item location.
Because of a rise in the adoption rate of process automation across multiple industrial verticals, intelligent warehouses are being installed at a rapid rate. As a result of quick visual intelligence, which simplifies the management of numerous tasks like inventory management in warehouses, these warehouses are quickly gaining traction. Operators employ these solutions to lower product damage & boost market efficiency. The implementation of these intelligent solutions is being driven by a desire to decrease corporate risk & improve warehouse service quality. Both as a service and as a product, these solutions are becoming increasingly popular. These solutions are used across a variety of industries, including manufacturing, retail, healthcare, and transportation.
The United Nations has been working toward Sustainable Development Goal 7 (SDG7) since 2015, which aims to make sure that everyone in the world has access to affordable, dependable, sustainable, and modern energy. SDG7 is especially important for Sub-Saharan Africa, where a majority of the population lacks access to reliable sources of power. This developing economy is attempting to obtain investment, which is one of the major reasons, due to which, warehousing in Ghana, Mozambique, and Cote d'Ivoire requires 24-7 electricity and internet. Companies doing business in Sub-Saharan African countries like Ghana, Mozambique, and Côte d'Ivoire require reliable power to assist their logistics. Organizations want reliable digital connectivity as they embrace automated solutions & use data to drive their operations. In today's supply chain & warehouse management, electricity and the internet are dependent of each other. Due to this, warehousing in Mozambique, Ghana, and Cote d'Ivoire requires 24-7 electricity and communication.
The Brazil market dominated the LAMEA Smart Warehousing Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $743.7 million by 2028. The Argentina market is poised to grow at a CAGR of 17.1% during (2022-2028). Additionally, The UAE market is expected to witness a CAGR of 16.2% during (2022-2028).
Based on Deployment Mode, the market is segmented into On-premises and Cloud. Based on Technology, the market is segmented into Automated Guided Vehicles (AGV), IoT & Analytics, RFID, AI in Warehouse, Blockchain & Others. Based on Application, the market is segmented into Transport Management, Inventory & Order Management, Yard & Shipping Management, Labour Management, and Others. Based on Component, the market is segmented into Hardware, Solution (Warehouse Management Systems and Warehouse Control Systems & Others), and Services. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). Based on Vertical, the market is segmented into Transportation & Logistics, Retail & Consumer Goods, Automotive, Government, Healthcare & Life Sciences, Manufacturing, Mining, Food & Beverages, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, SAP SE, Infor, Inc., Softeon, Körber AG, Manhattan Associates, Inc., PTC, Inc., Tecsys, Inc., and Epicor Software Corporation.
By Deployment Mode
By Country
Smart warehouses are modelled after smart plants and operate in similar information-driven environments. They combine several computerized & interconnected technologies to create a technical environment in which demands and goods can be received, organized, categorized, identified and prepared for transportation. This collaboration of innovations allows warehouse workers to increase the facility's utility, quality, and production while reducing the number of errors and reducing the number of human workers necessary. Artificial intelligence (AI), Robotics, and the Internet of Things (IoT) are heavily used in smart warehouses to allow technology to conduct tasks such as inventory management and item location.
Because of a rise in the adoption rate of process automation across multiple industrial verticals, intelligent warehouses are being installed at a rapid rate. As a result of quick visual intelligence, which simplifies the management of numerous tasks like inventory management in warehouses, these warehouses are quickly gaining traction. Operators employ these solutions to lower product damage & boost market efficiency. The implementation of these intelligent solutions is being driven by a desire to decrease corporate risk & improve warehouse service quality. Both as a service and as a product, these solutions are becoming increasingly popular. These solutions are used across a variety of industries, including manufacturing, retail, healthcare, and transportation.
The United Nations has been working toward Sustainable Development Goal 7 (SDG7) since 2015, which aims to make sure that everyone in the world has access to affordable, dependable, sustainable, and modern energy. SDG7 is especially important for Sub-Saharan Africa, where a majority of the population lacks access to reliable sources of power. This developing economy is attempting to obtain investment, which is one of the major reasons, due to which, warehousing in Ghana, Mozambique, and Cote d'Ivoire requires 24-7 electricity and internet. Companies doing business in Sub-Saharan African countries like Ghana, Mozambique, and Côte d'Ivoire require reliable power to assist their logistics. Organizations want reliable digital connectivity as they embrace automated solutions & use data to drive their operations. In today's supply chain & warehouse management, electricity and the internet are dependent of each other. Due to this, warehousing in Mozambique, Ghana, and Cote d'Ivoire requires 24-7 electricity and communication.
The Brazil market dominated the LAMEA Smart Warehousing Market by Country in 2021, and is expected to continue to be a dominant market till 2028; thereby, achieving a market value of $743.7 million by 2028. The Argentina market is poised to grow at a CAGR of 17.1% during (2022-2028). Additionally, The UAE market is expected to witness a CAGR of 16.2% during (2022-2028).
Based on Deployment Mode, the market is segmented into On-premises and Cloud. Based on Technology, the market is segmented into Automated Guided Vehicles (AGV), IoT & Analytics, RFID, AI in Warehouse, Blockchain & Others. Based on Application, the market is segmented into Transport Management, Inventory & Order Management, Yard & Shipping Management, Labour Management, and Others. Based on Component, the market is segmented into Hardware, Solution (Warehouse Management Systems and Warehouse Control Systems & Others), and Services. Based on Organization Size, the market is segmented into Large Enterprises and Small & Medium Enterprises (SMEs). Based on Vertical, the market is segmented into Transportation & Logistics, Retail & Consumer Goods, Automotive, Government, Healthcare & Life Sciences, Manufacturing, Mining, Food & Beverages, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
The market research report covers the analysis of key stakeholders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, SAP SE, Infor, Inc., Softeon, Körber AG, Manhattan Associates, Inc., PTC, Inc., Tecsys, Inc., and Epicor Software Corporation.
Scope of the Study
Market Segments Covered in the Report:
By Deployment Mode
- On-premises
- Cloud
- Automated Guided Vehicles (AGV)
- IoT & Analytics
- RFID
- AI in Warehouse
- Blockchain & Others
- Transport Management
- Inventory & Order Management
- Yard & Shipping Management
- Labour Management
- Others
- Hardware
- Solution
- Warehouse Management Systems
- Warehouse Control Systems & Others
- Services
- Large Enterprises
- Small & Medium Enterprises (SMEs)RFID
- Transportation & Logistics
- Retail & Consumer Goods
- Automotive
- Government
- Healthcare & Life Sciences
- Manufacturing
- Mining
- Food & Beverages
- Others
By Country
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- IBM Corporation
- Oracle Corporation
- SAP SE
- Infor, Inc.
- Softeon
- Körber AG
- Manhattan Associates, Inc.
- PTC, Inc.
- Tecsys, Inc.
- Epicor Software Corporation
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- Exhaustive coverage
- The highest number of market tables and figures
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Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. LAMEA Smart Warehousing Market by Deployment Mode
Chapter 5. LAMEA Smart Warehousing Market by Technology
Chapter 6. LAMEA Smart Warehousing Market by Application
Chapter 7. LAMEA Smart Warehousing Market by Component
Chapter 8. LAMEA Smart Warehousing Market by Organization Size
Chapter 9. LAMEA Smart Warehousing Market by Vertical
Chapter 10. LAMEA Smart Warehousing Market by Country
Chapter 11. Company Profiles
Companies Mentioned
- IBM Corporation
- Oracle Corporation
- SAP SE
- Infor, Inc.
- Softeon
- Körber AG
- Manhattan Associates, Inc.
- PTC, Inc.
- Tecsys, Inc.
- Epicor Software Corporation
Methodology
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