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Europe 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

Publisher Knowledge Based Value (KBV) Research
Published May 12, 2025
Length 162 Pages
SKU # KBV20173091

Description

The Europe AI In Warehousing Market would witness market growth of 25.3% CAGR during the forecast period (2025-2032).

The Germany market dominated the Europe AI In Warehousing Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $3,793.8 million by 2032. The UK market is exhibiting a CAGR of 24.1% during (2025 - 2032). Additionally, The France market would experience a CAGR of 26.5% during (2025 - 2032).

AI applications play a key role in improving inventory management. AI-powered algorithms forecast demand, predict stockouts, and track inventory levels in real-time. This ensures that warehouses maintain optimal stock levels and reduce the chances of overstocking or understocking products. Additionally, AI can detect patterns and trends in inventory movement, providing actionable insights that help warehouse managers make informed decisions. AI-driven predictive maintenance helps warehouse operators minimize downtime by identifying potential equipment failures before they occur.

By analyzing data from sensors embedded in machines and other equipment, AI can predict when maintenance is required, preventing unexpected breakdowns that disrupt operations. Moreover, AI-driven robotic picking systems have revolutionized the process of picking items in warehouses. These systems use computer vision, machine learning, and deep learning algorithms to identify and pick the correct items from shelves. Robotic arms and smart conveyor belts assist in assembling orders with high accuracy, minimizing human error and speeding up the picking process.

The market is witnessing robust global momentum, driven by increasing demand for operational efficiency, real-time inventory tracking, and labor automation across industries. In the United Kingdom, the manufacturing sector continues to be a cornerstone of the national economy. According to the Office for National Statistics, the total value of UK manufacturers’ product sales reached £429.8 billion in 2022, a significant increase from £401.5 billion in 2021.Across the European Union, the food and beverage (F&B) processing sector plays a significant role in the region’s industrial landscape. Eurostat data shows 291,000 F&B processing enterprises in 2020, representing 14.1% of all manufacturing enterprises in the EU. In Germany, one of Europe’s largest e-commerce sector, the demand for efficient warehousing solutions is surging. The Federal Association of E-Commerce and Mail Order reported a 14.6% increase in online retail revenue in 2021, reaching €99.1 billion. This exponential growth in online sales has intensified the need for advanced warehousing infrastructure to support real-time order fulfilment, inventory visibility, and scalable distribution networks. Thus, the convergence of booming e-commerce in Germany, expanding food processing across Europe, and manufacturing growth in the UK is driving an unprecedented demand for AI-powered warehousing solutions.

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 Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

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
Europe 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
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe

Table of Contents

162 Pages
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe AI In Warehousing Market, by Enterprise Size
1.4.2 Europe AI In Warehousing Market, by Application
1.4.3 Europe AI In Warehousing Market, by Component
1.4.4 Europe AI In Warehousing Market, by Deployment
1.4.5 Europe AI In Warehousing Market, by Vertical
1.4.6 Europe AI In Warehousing Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2024
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
4.5 Porter Five Forces Analysis
Chapter 5. Europe AI In Warehousing Market by Enterprise Size
5.1 Europe Large Enterprise Market by Country
5.2 Europe Small & Medium Enterprise (SME) Market by Country
Chapter 6. Europe AI In Warehousing Market by Application
6.1 Europe Inventory Management Market by Country
6.2 Europe Order Picking & Sorting Market by Country
6.3 Europe Warehouse Optimization Market by Country
6.4 Europe Predictive Maintenance Market by Country
6.5 Europe Supply Chain Visibility Market by Country
Chapter 7. Europe AI In Warehousing Market by Component
7.1 Europe Hardware Market by Country
7.2 Europe Software Market by Country
Chapter 8. Europe AI In Warehousing Market by Deployment
8.1 Europe Cloud Market by Country
8.2 Europe On-premises Market by Country
Chapter 9. Europe AI In Warehousing Market by Vertical
9.1 Europe Retail & E-commerce Market by Country
9.2 Europe Manufacturing Market by Country
9.3 Europe Logistics & Transportation Market by Country
9.4 Europe Food & Beverage Market by Country
9.5 Europe Healthcare Market by Country
9.6 Europe Other Vertical Market by Country
Chapter 10. Europe AI In Warehousing Market by Country
10.1 Germany AI In Warehousing Market
10.1.1 Germany AI In Warehousing Market by Enterprise Size
10.1.2 Germany AI In Warehousing Market by Application
10.1.3 Germany AI In Warehousing Market by Component
10.1.4 Germany AI In Warehousing Market by Deployment
10.1.5 Germany AI In Warehousing Market by Vertical
10.2 UK AI In Warehousing Market
10.2.1 UK AI In Warehousing Market by Enterprise Size
10.2.2 UK AI In Warehousing Market by Application
10.2.3 UK AI In Warehousing Market by Component
10.2.4 UK AI In Warehousing Market by Deployment
10.2.5 UK AI In Warehousing Market by Vertical
10.3 France AI In Warehousing Market
10.3.1 France AI In Warehousing Market by Enterprise Size
10.3.2 France AI In Warehousing Market by Application
10.3.3 France AI In Warehousing Market by Component
10.3.4 France AI In Warehousing Market by Deployment
10.3.5 France AI In Warehousing Market by Vertical
10.4 Russia AI In Warehousing Market
10.4.1 Russia AI In Warehousing Market by Enterprise Size
10.4.2 Russia AI In Warehousing Market by Application
10.4.3 Russia AI In Warehousing Market by Component
10.4.4 Russia AI In Warehousing Market by Deployment
10.4.5 Russia AI In Warehousing Market by Vertical
10.5 Spain AI In Warehousing Market
10.5.1 Spain AI In Warehousing Market by Enterprise Size
10.5.2 Spain AI In Warehousing Market by Application
10.5.3 Spain AI In Warehousing Market by Component
10.5.4 Spain AI In Warehousing Market by Deployment
10.5.5 Spain AI In Warehousing Market by Vertical
10.6 Italy AI In Warehousing Market
10.6.1 Italy AI In Warehousing Market by Enterprise Size
10.6.2 Italy AI In Warehousing Market by Application
10.6.3 Italy AI In Warehousing Market by Component
10.6.4 Italy AI In Warehousing Market by Deployment
10.6.5 Italy AI In Warehousing Market by Vertical
10.7 Rest of Europe AI In Warehousing Market
10.7.1 Rest of Europe AI In Warehousing Market by Enterprise Size
10.7.2 Rest of Europe AI In Warehousing Market by Application
10.7.3 Rest of Europe AI In Warehousing Market by Component
10.7.4 Rest of Europe AI In Warehousing Market by Deployment
10.7.5 Rest of Europe AI In Warehousing Market by Vertical
Chapter 11. Company Profiles
11.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
11.1.1 Company Overview
11.1.2 Financial Analysis
11.1.3 Segmental and Regional Analysis
11.1.4 SWOT Analysis
11.2 Microsoft Corporation
11.2.1 Company Overview
11.2.2 Financial Analysis
11.2.3 Segmental and Regional Analysis
11.2.4 Research & Development Expenses
11.2.5 SWOT Analysis
11.3 Google LLC (Alphabet Inc.)
11.3.1 Company Overview
11.3.2 Financial Analysis
11.3.3 Segmental and Regional Analysis
11.3.4 Research & Development Expenses
11.3.5 SWOT Analysis
11.4 IBM Corporation
11.4.1 Company Overview
11.4.2 Financial Analysis
11.4.3 Regional & Segmental Analysis
11.4.4 Research & Development Expenses
11.4.5 SWOT Analysis
11.5 Honeywell International, Inc.
11.5.1 Company Overview
11.5.2 Financial Analysis
11.5.3 Segmental and Regional Analysis
11.5.4 Research & Development Expenses
11.5.5 Recent strategies and developments:
11.5.5.1 Partnerships, Collaborations, and Agreements:
11.5.5.2 Product Launches and Product Expansions:
11.5.6 SWOT Analysis
11.6 Siemens AG
11.6.1 Company Overview
11.6.2 Financial Analysis
11.6.3 Segmental and Regional Analysis
11.6.4 Research & Development Expense
11.6.5 Recent strategies and developments:
11.6.5.1 Product Launches and Product Expansions:
11.6.6 SWOT Analysis
11.7 Oracle Corporation
11.7.1 Company Overview
11.7.2 Financial Analysis
11.7.3 Segmental and Regional Analysis
11.7.4 Research & Development Expense
11.7.5 SWOT Analysis
11.8 SAP SE
11.8.1 Company Overview
11.8.2 Financial Analysis
11.8.3 Regional Analysis
11.8.4 Research & Development Expense
11.8.5 Recent strategies and developments:
11.8.5.1 Product Launches and Product Expansions:
11.8.6 SWOT Analysis
11.9 Zebra Technologies Corporation
11.9.1 Company Overview
11.9.2 Financial Analysis
11.9.3 Segmental and Regional Analysis
11.9.4 Research & Development Expenses
11.9.5 Recent strategies and developments:
11.9.5.1 Partnerships, Collaborations, and Agreements:
11.9.5.2 Product Launches and Product Expansions:
11.9.5.3 Acquisition and Mergers:
11.9.6 SWOT Analysis
11.10. GreyOrange GmbH
11.10.1 Company Overview
11.10.2 Recent strategies and developments:
11.10.2.1 Partnerships, Collaborations, and Agreements:

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