Europe AI In Retail Market Size, Share & Industry Trends Analysis Report By Technology, By Sales Channel (Omnichannel, Brick & Mortar, and Pure-play Online Retailers), By Component, By Application, By Country and Growth Forecast, 2022 - 2028

Europe AI In Retail Market Size, Share & Industry Trends Analysis Report By Technology, By Sales Channel (Omnichannel, Brick & Mortar, and Pure-play Online Retailers), By Component, By Application, By Country and Growth Forecast, 2022 - 2028

The Europe AI In Retail Market would witness market growth of 24.1% CAGR during the forecast period (2022-2028).

Online product recommendations and demand forecasting using machine learning are two examples of cloud retail workloads. However, using AI within the store itself has benefits. Edge computing in retail serves as a catalyst of insight, gathering and converting enormous volumes of unstructured data into insightful knowledge that can be put to use.

Imagine automated shelf replenishment, audience-adaptive digital signage, and sensors that monitor consumer traffic to identify upselling and cross-selling opportunities. Brick-and-mortar stores are adopting computer vision, a particular subset of deep learning in artificial intelligence used in retail. Computer vision sees and decodes visual information, giving users sight in the right places.

New retail use cases in demand forecasting, customer experience, inventory management, and other areas are being made possible by this. Retailers strive to create convenient, individualized, and pleasurable shopping experiences, whether they are running a tiny boutique or a large, international superstore. Customers should be able to find what they are looking for promptly, get assistance when needed, and complete their purchases quickly.

The adoption of AI is very high in the regional retail sector. According to the Government of the United Kingdom, 432,000 organizations, or about 15% of all businesses, have incorporated at least one AI technology. 10% of firms, or 62,000 and 292,000 businesses, respectively, are expected to implement at least one AI technology in the future. Approximately 2% of businesses are presently testing AI. Enterprises are more likely to embrace AI as they expand.

The Germany market dominated the Europe AI In Retail Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $1,581 million by 2028. The UK market is anticipated to grow at a CAGR of 23% during (2022 - 2028). Additionally, The France market would exhibit a CAGR of 25% during (2022 - 2028).

Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Chatbots, Image & Video Analytics, and Swarm Intelligence. Based on Sales Channel, the market is segmented into Omnichannel, Brick & Mortar, and Pure-play Online Retailers. Based on Component, the market is segmented into Solution and Services. Based on Application, the market is segmented into Customer Relationship Management (CRM), Supply Chain & Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment & Pricing Analytics, and Virtual Assistant. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Intel Corporation, Salesforce.com, Inc., NVIDIA Corporation, Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC, IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, and ViSenze Pte Ltd.

Scope of the Study

Market Segments covered in the Report:

By Technology

  • Machine Learning
  • Natural Language Processing
  • Chatbots
  • Image & Video Analytics
  • Swarm Intelligence
By Sales Channel
  • Omnichannel
  • Brick & Mortar
  • Pure-play Online Retailers
By Component
  • Solution
  • Services
By Application
  • Customer Relationship Management (CRM)
  • Supply Chain & Logistics
  • Inventory Management
  • Product Optimization
  • In-Store Navigation
  • Payment & Pricing Analytics
  • Virtual Assistant
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
Companies Profiled
  • Intel Corporation
  • Salesforce.com, Inc.
  • NVIDIA Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • ViSenze Pte Ltd
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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 Retail Market, by Technology
1.4.2 Europe AI In Retail Market, by Sales Channel
1.4.3 Europe AI In Retail Market, by Component
1.4.4 Europe AI In Retail Market, by Application
1.4.5 Europe AI In Retail 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 KBV 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 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
3.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2018, May – 2022, Sep) Leading Players
Chapter 4. Europe AI In Retail Market by Technology
4.1 Europe Machine Learning Market by Country
4.2 Europe Natural Language Processing Market by Country
4.3 Europe Chatbots Market by Country
4.4 Europe Image & Video Analytics Market by Country
4.5 Europe Swarm Intelligence Market by Country
Chapter 5. Europe AI In Retail Market by Sales Channel
5.1 Europe Omnichannel Market by Country
5.2 Europe Brick & Mortar Market by Country
5.3 Europe Pure-play Online Retailers Market by Country
Chapter 6. Europe AI In Retail Market by Component
6.1 Europe Solution Market by Country
6.2 Europe Services Market by Country
Chapter 7. Europe AI In Retail Market by Application
7.1 Europe Customer Relationship Management (CRM) Market by Country
7.2 Europe Supply Chain & Logistics Market by Country
7.3 Europe Inventory Management Market by Country
7.4 Europe Product Optimization Market by Country
7.5 Europe In-Store Navigation Market by Country
7.6 Europe Payment & Pricing Analytics Market by Country
7.7 Europe Virtual Assistant Market by Country
Chapter 8. Europe AI In Retail Market by Country
8.1 Germany AI In Retail Market
8.1.1 Germany AI In Retail Market by Technology
8.1.2 Germany AI In Retail Market by Sales Channel
8.1.3 Germany AI In Retail Market by Component
8.1.4 Germany AI In Retail Market by Application
8.2 UK AI In Retail Market
8.2.1 UK AI In Retail Market by Technology
8.2.2 UK AI In Retail Market by Sales Channel
8.2.3 UK AI In Retail Market by Component
8.2.4 UK AI In Retail Market by Application
8.3 France AI In Retail Market
8.3.1 France AI In Retail Market by Technology
8.3.2 France AI In Retail Market by Sales Channel
8.3.3 France AI In Retail Market by Component
8.3.4 France AI In Retail Market by Application
8.4 Russia AI In Retail Market
8.4.1 Russia AI In Retail Market by Technology
8.4.2 Russia AI In Retail Market by Sales Channel
8.4.3 Russia AI In Retail Market by Component
8.4.4 Russia AI In Retail Market by Application
8.5 Spain AI In Retail Market
8.5.1 Spain AI In Retail Market by Technology
8.5.2 Spain AI In Retail Market by Sales Channel
8.5.3 Spain AI In Retail Market by Component
8.5.4 Spain AI In Retail Market by Application
8.6 Italy AI In Retail Market
8.6.1 Italy AI In Retail Market by Technology
8.6.2 Italy AI In Retail Market by Sales Channel
8.6.3 Italy AI In Retail Market by Component
8.6.4 Italy AI In Retail Market by Application
8.7 Rest of Europe AI In Retail Market
8.7.1 Rest of Europe AI In Retail Market by Technology
8.7.2 Rest of Europe AI In Retail Market by Sales Channel
8.7.3 Rest of Europe AI In Retail Market by Component
8.7.4 Rest of Europe AI In Retail Market by Application
Chapter 9. Company Profiles
9.1 Intel Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expenses
9.1.5 Recent strategies and developments:
9.1.5.1 Product Launches and Product Expansions:
9.1.5.2 Acquisition and Mergers:
9.1.6 SWOT Analysis
9.2 Salesforce.com, Inc.
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.5.2 Product Launches and Product Expansions:
9.2.6 SWOT Analysis
9.3 NVIDIA Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Partnerships, Collaborations, and Agreements:
9.3.5.2 Product Launches and Product Expansions:
9.3.5.3 Acquisition and Mergers:
9.3.6 SWOT Analysis
9.4 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental Analysis
9.4.4 Recent strategies and developments:
9.4.4.1 Partnerships, Collaborations, and Agreements:
9.4.5 SWOT Analysis
9.5 Google LLC
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.5.2 Product Launches and Product Expansions:
9.5.6 SWOT Analysis
9.6 IBM Corporation
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional & Segmental Analysis
9.6.4 Research & Development Expenses
9.6.5 Recent strategies and developments:
9.6.5.1 Mergers & Acquisition:
9.6.5.2 Product Launches and Product Expansions:
9.6.6 SWOT Analysis
9.7 Microsoft Corporation
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.5.2 Mergers & Acquisition:
9.7.6 SWOT Analysis
9.8 Oracle Corporation
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Segmental and Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Partnerships, Collaborations & Agreements:
9.8.5.2 Acquisition and Mergers:
9.8.6 SWOT Analysis
9.9 SAP SE
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expense
9.9.5 Recent strategies and developments:
9.9.5.1 Partnerships, Collaborations, and Agreements:
9.9.5.2 Acquisition and Mergers:
9.10. ViSenze Pte Ltd
9.10.1 Company Overview
9.10.2 Recent strategies and developments:
9.10.2.1 Partnerships, Collaborations, and Agreements:
9.10.2.2 Product Launches and Product Expansions:

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