LAMEA AI In Warehousing Market

LAMEA AI In Warehousing Market Size, Share & Industry Analysis Report By Enterprise Size (Large Enterprise, and Small & Medium Enterprise (SME)), By Application, By Component, By Deployment, By Vertical, By Country and Growth Forecast, 2025 - 2032

Report Id: KBV-28010 Publication Date: May-2025 Number of Pages: 159
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Analysis of Market Size & Trends

The Latin America, Middle East and Africa AI In Warehousing Market would witness market growth of 28.0% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA AI In Warehousing Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $1,398.6 million by 2032. The Argentina market is showcasing a CAGR of 28.5% during (2025 - 2032). Additionally, The UAE market would register a CAGR of 26.8% during (2025 - 2032).

LAMEA AI In Warehousing Market

The growing sophistication of AI algorithms, machine learning, and data analytics has made AI more accessible to warehouses of all sizes. Advances in cloud computing, sensor technology, and data storage solutions have also contributed to the widespread adoption of AI in warehousing. The AI In warehousing market is experiencing several key trends shaping its future. Collaborative robots, or cobots, are gaining popularity in warehouses. These robots work alongside human workers to automate sorting, picking, and packing tasks.

Cobots are designed to be safe to work with, and they can adapt to the needs of human operators, improving efficiency and reducing human error. Cloud-based AI solutions are becoming increasingly common in warehousing, allowing businesses to access powerful AI capabilities without needing on-premise infrastructure. These solutions enable warehouses to scale their AI efforts easily and access real-time data insights from anywhere, enhancing flexibility and agility. The integration of AI with IoT devices is transforming warehousing operations. IoT sensors placed on warehouse equipment and inventory allow AI systems to monitor conditions in real-time.

The global warehousing sector is undergoing a digital transformation driven by rising e-commerce volumes, customer expectations for faster delivery, and supply chain complexities. In the United Arab Emirates (UAE), the logistics sector has historically played a central role in the nation’s economic development, particularly due to its strategic geographic location as a global trade hub. In Saudi Arabia, the government’s Vision 2030 reform plan strongly emphasizes transforming the transport and logistics sectors. The 2021 announcement of a $147 billion investment plan through 2030 and the allocation of $9.06 billion in the 2023 fiscal budget underscore the country’s commitment to building a modern and efficient logistics ecosystem. Meanwhile, in Brazil, the e-commerce industry's rapid growth is a key driver for AI adoption in warehousing. Hence, the confluence of government-backed logistics infrastructure projects in the UAE and Saudi Arabia and explosive e-commerce growth in Brazil create a favorable environment for expanding AI technologies in warehousing.

Free Valuable Insights: The Worldwide AI In Warehousing Market is Projected to reach USD 66.49 Billion by 2032, at a CAGR of 25.7%

Based on Enterprise Size, the market is segmented into Large Enterprise, and Small & Medium Enterprise (SME). Based on Application, the market is segmented into Inventory Management, Order Picking & Sorting, Warehouse Optimization, Predictive Maintenance, and Supply Chain Visibility. Based on Component, the market is segmented into Hardware, and Software. Based on Deployment, the market is segmented into Cloud, and On-premises. Based on Vertical, the market is segmented into Retail & E-commerce, Manufacturing, Logistics & Transportation, Food & Beverage, Healthcare, and Other Vertical. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.

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List of Key Companies Profiled

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Honeywell International, Inc.
  • Siemens AG
  • Oracle Corporation
  • SAP SE
  • Zebra Technologies Corporation
  • GreyOrange GmbH

LAMEA AI In Warehousing Market Report Segmentation

By Enterprise Size

  • Large Enterprise
  • Small & Medium Enterprise (SME)

By Application

  • Inventory Management
  • Order Picking & Sorting
  • Warehouse Optimization
  • Predictive Maintenance
  • Supply Chain Visibility

By Component

  • Hardware
  • Software

By Deployment

  • Cloud
  • On-premises

By Vertical

  • Retail & E-commerce
  • Manufacturing
  • Logistics & Transportation
  • Food & Beverage
  • Healthcare
  • Other Vertical

By Country

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
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