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LAMEA Smart Warehousing Market Size, Share & Industry Trends Analysis Report By Deployment Mode, By Technology, By Application, By Component, By Organization Size, By Vertical, By Country and Growth Forecast, 2022-2028

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    Report

  • 158 Pages
  • April 2022
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5600699
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.

Scope of the Study


Market Segments Covered in the Report:


By Deployment Mode
  • On-premises
  • Cloud
By Technology
  • Automated Guided Vehicles (AGV)
  • IoT & Analytics
  • RFID
  • AI in Warehouse
  • Blockchain & Others
By Application
  • Transport Management
  • Inventory & Order Management
  • Yard & Shipping Management
  • Labour Management
  • Others
By Component
  • Hardware
  • Solution
    • Warehouse Management Systems
    • Warehouse Control Systems & Others
  • Services
By Organization Size
  • Large Enterprises
  • Small & Medium Enterprises (SMEs)RFID
By Vertical
  • 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

Unique Offerings from the Publisher

  • Exhaustive coverage
  • The highest number of market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA Smart Warehousing Market, by Deployment Mode
1.4.2 LAMEA Smart Warehousing Market, by Technology
1.4.3 LAMEA Smart Warehousing Market, by Application
1.4.4 LAMEA Smart Warehousing Market, by Component
1.4.5 LAMEA Smart Warehousing Market, by Organization Size
1.4.6 LAMEA Smart Warehousing Market, by Vertical
1.4.7 LAMEA Smart Warehousing Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.3.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2019, May - 2021, Jul) Leading Players
Chapter 4. LAMEA Smart Warehousing Market by Deployment Mode
4.1 LAMEA On-premises Market by Country
4.2 LAMEA Cloud Market by Country
Chapter 5. LAMEA Smart Warehousing Market by Technology
5.1 LAMEA Automated Guided Vehicles (AGV) Market by Country
5.2 LAMEA IoT & Analytics Market by Country
5.3 LAMEA RFID Market by Country
5.4 LAMEA AI in Warehouse Market by Country
5.5 LAMEA Blockchain & Others Market by Country
Chapter 6. LAMEA Smart Warehousing Market by Application
6.1 LAMEA Transport Management Market by Country
6.2 LAMEA Inventory & Order Management Market by Country
6.3 LAMEA Yard & Shipping Management Market by Country
6.4 LAMEA Labour Management Market by Country
6.5 LAMEA Others Market by Country
Chapter 7. LAMEA Smart Warehousing Market by Component
7.1 LAMEA Hardware Market by Country
7.2 LAMEA Solution Market by Country
7.3 LAMEA Smart Warehousing Market by Solution Type
7.3.1 LAMEA Warehouse Management Systems Market by Country
7.3.2 LAMEA Warehouse Control Systems & Others Market by Country
7.4 LAMEA Services Market by Country
Chapter 8. LAMEA Smart Warehousing Market by Organization Size
8.1 LAMEA Large Enterprises Market by Country
8.2 LAMEA Small & Medium Enterprises (SMEs) Market by Country
Chapter 9. LAMEA Smart Warehousing Market by Vertical
9.1 LAMEA Transportation & Logistics Market by Country
9.2 LAMEA Retail & Consumer Goods Market by Country
9.3 LAMEA Automotive Market by Country
9.4 LAMEA Government Market by Country
9.5 LAMEA Healthcare & Life Sciences Market by Country
9.6 LAMEA Manufacturing Market by Country
9.7 LAMEA Mining Market by Country
9.8 LAMEA Food & Beverages Market by Country
9.9 LAMEA Others Market by Country
Chapter 10. LAMEA Smart Warehousing Market by Country
10.1 Brazil Smart Warehousing Market
10.1.1 Brazil Smart Warehousing Market by Deployment Mode
10.1.2 Brazil Smart Warehousing Market by Technology
10.1.3 Brazil Smart Warehousing Market by Application
10.1.4 Brazil Smart Warehousing Market by Component
10.1.4.1 Brazil Smart Warehousing Market by Solution Type
10.1.5 Brazil Smart Warehousing Market by Organization Size
10.1.6 Brazil Smart Warehousing Market by Vertical
10.2 Argentina Smart Warehousing Market
10.2.1 Argentina Smart Warehousing Market by Deployment Mode
10.2.2 Argentina Smart Warehousing Market by Technology
10.2.3 Argentina Smart Warehousing Market by Application
10.2.4 Argentina Smart Warehousing Market by Component
10.2.4.1 Argentina Smart Warehousing Market by Solution Type
10.2.5 Argentina Smart Warehousing Market by Organization Size
10.2.6 Argentina Smart Warehousing Market by Vertical
10.3 UAE Smart Warehousing Market
10.3.1 UAE Smart Warehousing Market by Deployment Mode
10.3.2 UAE Smart Warehousing Market by Technology
10.3.3 UAE Smart Warehousing Market by Application
10.3.4 UAE Smart Warehousing Market by Component
10.3.4.1 UAE Smart Warehousing Market by Solution Type
10.3.5 UAE Smart Warehousing Market by Organization Size
10.3.6 UAE Smart Warehousing Market by Vertical
10.4 Saudi Arabia Smart Warehousing Market
10.4.1 Saudi Arabia Smart Warehousing Market by Deployment Mode
10.4.2 Saudi Arabia Smart Warehousing Market by Technology
10.4.3 Saudi Arabia Smart Warehousing Market by Application
10.4.4 Saudi Arabia Smart Warehousing Market by Component
10.4.4.1 Saudi Arabia Smart Warehousing Market by Solution Type
10.4.5 Saudi Arabia Smart Warehousing Market by Organization Size
10.4.6 Saudi Arabia Smart Warehousing Market by Vertical
10.5 South Africa Smart Warehousing Market
10.5.1 South Africa Smart Warehousing Market by Deployment Mode
10.5.2 South Africa Smart Warehousing Market by Technology
10.5.3 South Africa Smart Warehousing Market by Application
10.5.4 South Africa Smart Warehousing Market by Component
10.5.4.1 South Africa Smart Warehousing Market by Solution Type
10.5.5 South Africa Smart Warehousing Market by Organization Size
10.5.6 South Africa Smart Warehousing Market by Vertical
10.6 Nigeria Smart Warehousing Market
10.6.1 Nigeria Smart Warehousing Market by Deployment Mode
10.6.2 Nigeria Smart Warehousing Market by Technology
10.6.3 Nigeria Smart Warehousing Market by Application
10.6.4 Nigeria Smart Warehousing Market by Component
10.6.4.1 Nigeria Smart Warehousing Market by Solution Type
10.6.5 Nigeria Smart Warehousing Market by Organization Size
10.6.6 Nigeria Smart Warehousing Market by Vertical
10.7 Rest of LAMEA Smart Warehousing Market
10.7.1 Rest of LAMEA Smart Warehousing Market by Deployment Mode
10.7.2 Rest of LAMEA Smart Warehousing Market by Technology
10.7.3 Rest of LAMEA Smart Warehousing Market by Application
10.7.4 Rest of LAMEA Smart Warehousing Market by Component
10.7.4.1 Rest of LAMEA Smart Warehousing Market by Solution Type
10.7.5 Rest of LAMEA Smart Warehousing Market by Organization Size
10.7.6 Rest of LAMEA Smart Warehousing Market by Vertical
Chapter 11. Company Profiles
11.1 IBM Corporation
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Regional & Segmental Analysis
11.1.4 Research & Development Expenses
11.1.5 Recent strategies and developments:
11.1.5.1 Partnerships, Collaborations, and Agreements:
11.1.6 SWOT Analysis
11.2 Oracle Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Segmental and Regional Analysis
11.2.4 Research & Development Expense
11.2.5 Recent strategies and developments:
11.2.5.1 Partnerships, Collaborations, and Agreements:
11.2.5.2 Product Launches and Product Expansions:
11.2.6 SWOT Analysis
11.3 SAP SE
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expense
11.3.5 Recent strategies and developments:
11.3.5.1 Partnerships, Collaborations, and Agreements:
11.3.6 SWOT Analysis
11.4 Infor, Inc. (Koch Industries)
11.4.1 Company Overview
11.4.2 Recent strategies and developments:
11.4.2.1 Partnerships, Collaborations, and Agreements:
11.5 Softeon
11.5.1 Company Overview
11.6 Körber AG
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Research & Development Expenses
11.6.4 Recent strategies and developments:
11.6.4.1 Partnerships, Collaborations, and Agreements:
11.7 Manhattan Associates, Inc.
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Regional & Segmental Analysis
11.7.4 Research & Development Expenses
11.7.5 Recent strategies and developments:
11.7.5.1 Partnerships, Collaborations, and Agreements:
11.7.5.2 Product Launches and Product Expansions:
11.8 PTC, Inc.
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Segmental and Regional Analysis
11.8.4 Research & Development Expenses
11.9 Tecsys, Inc.
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Regional Analysis
11.9.4 Research & Development Expense
11.10. Epicor Software Corporation
11.10.1 Company Overview
11.10.2 Recent strategies and developments:
11.10.2.1 Product Launches and Product Expansions:
11.10.2.2 Acquisition and Mergers:

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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