Europe Artificial Intelligence in Retail Market

ID: MRFR/ICT/56614-HCR
200 Pages
Aarti Dhapte
Last Updated: February 06, 2026
Europe Artificial Intelligence in Retail Market Size, Share and Trends Analysis Report By Application (Customer Service, Inventory Management, Sales and Marketing, Fraud Detection, Supply Chain Optimization), By Deployment Mode (Cloud-Based, On-Premises, Hybrid), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation), By End Use (E-commerce, Brick-and-Mortar Stores, Wholesale and Distribution) and By Regional (Germany, UK, France, Russia, Italy, Spain, Rest of Europe)-Forecast to 2035
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Europe Artificial Intelligence in Retail Market

Market Size

Forecast Period2025 - 2035
CAGR (2025 - 2035)22.67%
2024 Market Size$ 1,626 Million
2025 Market Size$ 1,994.61 Million
2035 Market Size$ 15,393 Million

Key Players

Amazon
Google
IBM
Microsoft
Salesforce
SAP
Trends
  • Personalization and Customer Engagement
  • Supply Chain Optimization
  • Sustainability Initiatives
Opportunities
  • Automation of Retail Operations
  • Enhanced Data Analytics Capabilities
  • Improved Customer Insights through AI
Summary Table of Contents Segmentation Download PDF
  1. 1 SECTION I: EXECUTIVE SUMMARY AND KEY HIGHLIGHTS
    1. 1.1 EXECUTIVE SUMMARY
      1. 1.1.1 Market Overview
      2. 1.1.2 Key Findings
      3. 1.1.3 Market Segmentation
      4. 1.1.4 Competitive Landscape
      5. 1.1.5 Challenges and Opportunities
      6. 1.1.6 Future Outlook
  2. 2 SECTION II: SCOPING, METHODOLOGY AND MARKET STRUCTURE
    1. 2.1 MARKET INTRODUCTION
      1. 2.1.1 Definition
      2. 2.1.2 Scope of the study
        1. 2.1.2.1 Research Objective
        2. 2.1.2.2 Assumption
        3. 2.1.2.3 Limitations
    2. 2.2 RESEARCH METHODOLOGY
      1. 2.2.1 Overview
      2. 2.2.2 Data Mining
      3. 2.2.3 Secondary Research
      4. 2.2.4 Primary Research
        1. 2.2.4.1 Primary Interviews and Information Gathering Process
        2. 2.2.4.2 Breakdown of Primary Respondents
      5. 2.2.5 Forecasting Model
      6. 2.2.6 Market Size Estimation
        1. 2.2.6.1 Bottom-Up Approach
        2. 2.2.6.2 Top-Down Approach
      7. 2.2.7 Data Triangulation
      8. 2.2.8 Validation
  3. 3 SECTION III: QUALITATIVE ANALYSIS
    1. 3.1 MARKET DYNAMICS
      1. 3.1.1 Overview
      2. 3.1.2 Drivers
      3. 3.1.3 Restraints
      4. 3.1.4 Opportunities
    2. 3.2 MARKET FACTOR ANALYSIS
      1. 3.2.1 Value chain Analysis
      2. 3.2.2 Porter's Five Forces Analysis
        1. 3.2.2.1 Bargaining Power of Suppliers
        2. 3.2.2.2 Bargaining Power of Buyers
        3. 3.2.2.3 Threat of New Entrants
        4. 3.2.2.4 Threat of Substitutes
        5. 3.2.2.5 Intensity of Rivalry
      3. 3.2.3 COVID-19 Impact Analysis
        1. 3.2.3.1 Market Impact Analysis
        2. 3.2.3.2 Regional Impact
        3. 3.2.3.3 Opportunity and Threat Analysis
  4. 4 SECTION IV: QUANTITATIVE ANALYSIS
    1. 4.1 Information and Communications Technology, BY Application (USD Million)
      1. 4.1.1 Customer Service
      2. 4.1.2 Inventory Management
      3. 4.1.3 Sales and Marketing
      4. 4.1.4 Fraud Detection
      5. 4.1.5 Supply Chain Optimization
    2. 4.2 Information and Communications Technology, BY Deployment Mode (USD Million)
      1. 4.2.1 Cloud-Based
      2. 4.2.2 On-Premises
      3. 4.2.3 Hybrid
    3. 4.3 Information and Communications Technology, BY Technology (USD Million)
      1. 4.3.1 Machine Learning
      2. 4.3.2 Natural Language Processing
      3. 4.3.3 Computer Vision
      4. 4.3.4 Robotic Process Automation
    4. 4.4 Information and Communications Technology, BY End Use (USD Million)
      1. 4.4.1 E-commerce
      2. 4.4.2 Brick-and-Mortar Stores
      3. 4.4.3 Wholesale
      4. 4.4.4 Distribution
  5. 5 SECTION V: COMPETITIVE ANALYSIS
    1. 5.1 Competitive Landscape
      1. 5.1.1 Overview
      2. 5.1.2 Competitive Analysis
      3. 5.1.3 Market share Analysis
      4. 5.1.4 Major Growth Strategy in the Information and Communications Technology
      5. 5.1.5 Competitive Benchmarking
      6. 5.1.6 Leading Players in Terms of Number of Developments in the Information and Communications Technology
      7. 5.1.7 Key developments and growth strategies
        1. 5.1.7.1 New Product Launch/Service Deployment
        2. 5.1.7.2 Merger & Acquisitions
        3. 5.1.7.3 Joint Ventures
      8. 5.1.8 Major Players Financial Matrix
        1. 5.1.8.1 Sales and Operating Income
        2. 5.1.8.2 Major Players R&D Expenditure. 2023
    2. 5.2 Company Profiles
      1. 5.2.1 Amazon (US)
        1. 5.2.1.1 Financial Overview
        2. 5.2.1.2 Products Offered
        3. 5.2.1.3 Key Developments
        4. 5.2.1.4 SWOT Analysis
        5. 5.2.1.5 Key Strategies
      2. 5.2.2 Google (US)
        1. 5.2.2.1 Financial Overview
        2. 5.2.2.2 Products Offered
        3. 5.2.2.3 Key Developments
        4. 5.2.2.4 SWOT Analysis
        5. 5.2.2.5 Key Strategies
      3. 5.2.3 IBM (US)
        1. 5.2.3.1 Financial Overview
        2. 5.2.3.2 Products Offered
        3. 5.2.3.3 Key Developments
        4. 5.2.3.4 SWOT Analysis
        5. 5.2.3.5 Key Strategies
      4. 5.2.4 Microsoft (US)
        1. 5.2.4.1 Financial Overview
        2. 5.2.4.2 Products Offered
        3. 5.2.4.3 Key Developments
        4. 5.2.4.4 SWOT Analysis
        5. 5.2.4.5 Key Strategies
      5. 5.2.5 Salesforce (US)
        1. 5.2.5.1 Financial Overview
        2. 5.2.5.2 Products Offered
        3. 5.2.5.3 Key Developments
        4. 5.2.5.4 SWOT Analysis
        5. 5.2.5.5 Key Strategies
      6. 5.2.6 SAP (DE)
        1. 5.2.6.1 Financial Overview
        2. 5.2.6.2 Products Offered
        3. 5.2.6.3 Key Developments
        4. 5.2.6.4 SWOT Analysis
        5. 5.2.6.5 Key Strategies
      7. 5.2.7 Oracle (US)
        1. 5.2.7.1 Financial Overview
        2. 5.2.7.2 Products Offered
        3. 5.2.7.3 Key Developments
        4. 5.2.7.4 SWOT Analysis
        5. 5.2.7.5 Key Strategies
      8. 5.2.8 NVIDIA (US)
        1. 5.2.8.1 Financial Overview
        2. 5.2.8.2 Products Offered
        3. 5.2.8.3 Key Developments
        4. 5.2.8.4 SWOT Analysis
        5. 5.2.8.5 Key Strategies
      9. 5.2.9 Alibaba (CN)
        1. 5.2.9.1 Financial Overview
        2. 5.2.9.2 Products Offered
        3. 5.2.9.3 Key Developments
        4. 5.2.9.4 SWOT Analysis
        5. 5.2.9.5 Key Strategies
    3. 5.3 Appendix
      1. 5.3.1 References
      2. 5.3.2 Related Reports
  6. 6 LIST OF FIGURES
    1. 6.1 MARKET SYNOPSIS
    2. 6.2 EUROPE MARKET ANALYSIS BY APPLICATION
    3. 6.3 EUROPE MARKET ANALYSIS BY DEPLOYMENT MODE
    4. 6.4 EUROPE MARKET ANALYSIS BY TECHNOLOGY
    5. 6.5 EUROPE MARKET ANALYSIS BY END USE
    6. 6.6 KEY BUYING CRITERIA OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    7. 6.7 RESEARCH PROCESS OF MRFR
    8. 6.8 DRO ANALYSIS OF INFORMATION AND COMMUNICATIONS TECHNOLOGY
    9. 6.9 DRIVERS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    10. 6.10 RESTRAINTS IMPACT ANALYSIS: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    11. 6.11 SUPPLY / VALUE CHAIN: INFORMATION AND COMMUNICATIONS TECHNOLOGY
    12. 6.12 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 (% SHARE)
    13. 6.13 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY APPLICATION, 2024 TO 2035 (USD Million)
    14. 6.14 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODE, 2024 (% SHARE)
    15. 6.15 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY DEPLOYMENT MODE, 2024 TO 2035 (USD Million)
    16. 6.16 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 (% SHARE)
    17. 6.17 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY TECHNOLOGY, 2024 TO 2035 (USD Million)
    18. 6.18 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 (% SHARE)
    19. 6.19 INFORMATION AND COMMUNICATIONS TECHNOLOGY, BY END USE, 2024 TO 2035 (USD Million)
    20. 6.20 BENCHMARKING OF MAJOR COMPETITORS
  7. 7 LIST OF TABLES
    1. 7.1 LIST OF ASSUMPTIONS
  8. 7.1.1
    1. 7.2 Europe MARKET SIZE ESTIMATES; FORECAST
      1. 7.2.1 BY APPLICATION, 2025-2035 (USD Million)
      2. 7.2.2 BY DEPLOYMENT MODE, 2025-2035 (USD Million)
      3. 7.2.3 BY TECHNOLOGY, 2025-2035 (USD Million)
      4. 7.2.4 BY END USE, 2025-2035 (USD Million)
    2. 7.3 PRODUCT LAUNCH/PRODUCT DEVELOPMENT/APPROVAL
  9. 7.3.1
    1. 7.4 ACQUISITION/PARTNERSHIP
  10. 7.4.1

Europe Europe Artificial Intelligence in Retail Market Segmentation

Europe Artificial Intelligence in Retail Market By Application (USD Million, 2025-2035)

  • Customer Service
  • Inventory Management
  • Sales and Marketing
  • Fraud Detection
  • Supply Chain Optimization

Europe Artificial Intelligence in Retail Market By Deployment Mode (USD Million, 2025-2035)

  • Cloud-Based
  • On-Premises
  • Hybrid

Europe Artificial Intelligence in Retail Market By Technology (USD Million, 2025-2035)

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Robotic Process Automation

Europe Artificial Intelligence in Retail Market By End Use (USD Million, 2025-2035)

  • E-commerce
  • Brick-and-Mortar Stores
  • Wholesale
  • Distribution

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