Home Technology Artificial Intelligence in Retail Market Size, Share & Forecast to 2033

Artificial Intelligence in Retail Market Size, Share & Trends Analysis Report By Offerings (Solutions, Services), By Type (Online, Offline), By Technology (Machine Learning and Deep Learning, Natural Language Processing, Others), By Deployment Model (Cloud, On-Premises), By Applications (Predictive Merchandising, Programmatic Advertising, Market Forecasting, In-Store Visual Monitoring and Surveillance, Location-Based Marketing, Others) and By Region(North America, Europe, APAC, Middle East and Africa, LATAM) Forecasts, 2025-2033

Report Code: SRTE273DR
Last Updated : Nov 12, 2024
Author : Straits Research
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Table Of Content

  1. Executive Summary

    1. Research Objectives
    2. Limitations & Assumptions
    3. Market Scope & Segmentation
    4. Currency & Pricing Considered
    1. Emerging Regions / Countries
    2. Emerging Companies
    3. Emerging Applications / End Use
    1. Drivers
    2. Market Warning Factors
    3. Latest Macro Economic Indicators
    4. Geopolitical Impact
    5. Technology Factors
    1. Porters Five Forces Analysis
    2. Value Chain Analysis
    1. North America
    2. Europe
    3. APAC
    4. Middle East and Africa
    5. LATAM
  2. ESG Trends

    1. Global Artificial Intelligence in Retail Market Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    1. Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    7. U.S.
      1. By Offerings
        1. Introduction
          1. Offerings By Value
        2. Solutions
          1. By Value
        3. Services
          1. By Value
      2. By Type
        1. Introduction
          1. Type By Value
        2. Online
          1. By Value
        3. Offline
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning and Deep Learning
          1. By Value
        3. Natural Language Processing
          1. By Value
        4. Others
          1. By Value
      4. By Deployment Model
        1. Introduction
          1. Deployment Model By Value
        2. Cloud
          1. By Value
        3. On-Premises
          1. By Value
      5. By Applications
        1. Introduction
          1. Applications By Value
        2. Predictive Merchandising
          1. By Value
        3. Programmatic Advertising
          1. By Value
        4. Market Forecasting
          1. By Value
        5. In-Store Visual Monitoring and Surveillance
          1. By Value
        6. Location-Based Marketing
          1. By Value
        7. Others
          1. By Value
    8. Canada
    1. Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    7. U.K.
      1. By Offerings
        1. Introduction
          1. Offerings By Value
        2. Solutions
          1. By Value
        3. Services
          1. By Value
      2. By Type
        1. Introduction
          1. Type By Value
        2. Online
          1. By Value
        3. Offline
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning and Deep Learning
          1. By Value
        3. Natural Language Processing
          1. By Value
        4. Others
          1. By Value
      4. By Deployment Model
        1. Introduction
          1. Deployment Model By Value
        2. Cloud
          1. By Value
        3. On-Premises
          1. By Value
      5. By Applications
        1. Introduction
          1. Applications By Value
        2. Predictive Merchandising
          1. By Value
        3. Programmatic Advertising
          1. By Value
        4. Market Forecasting
          1. By Value
        5. In-Store Visual Monitoring and Surveillance
          1. By Value
        6. Location-Based Marketing
          1. By Value
        7. Others
          1. By Value
    8. Germany
    9. France
    10. Spain
    11. Italy
    12. Russia
    13. Nordic
    14. Benelux
    15. Rest of Europe
    1. Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    7. China
      1. By Offerings
        1. Introduction
          1. Offerings By Value
        2. Solutions
          1. By Value
        3. Services
          1. By Value
      2. By Type
        1. Introduction
          1. Type By Value
        2. Online
          1. By Value
        3. Offline
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning and Deep Learning
          1. By Value
        3. Natural Language Processing
          1. By Value
        4. Others
          1. By Value
      4. By Deployment Model
        1. Introduction
          1. Deployment Model By Value
        2. Cloud
          1. By Value
        3. On-Premises
          1. By Value
      5. By Applications
        1. Introduction
          1. Applications By Value
        2. Predictive Merchandising
          1. By Value
        3. Programmatic Advertising
          1. By Value
        4. Market Forecasting
          1. By Value
        5. In-Store Visual Monitoring and Surveillance
          1. By Value
        6. Location-Based Marketing
          1. By Value
        7. Others
          1. By Value
    8. Korea
    9. Japan
    10. India
    11. Australia
    12. Taiwan
    13. South East Asia
    14. Rest of Asia-Pacific
    1. Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    7. UAE
      1. By Offerings
        1. Introduction
          1. Offerings By Value
        2. Solutions
          1. By Value
        3. Services
          1. By Value
      2. By Type
        1. Introduction
          1. Type By Value
        2. Online
          1. By Value
        3. Offline
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning and Deep Learning
          1. By Value
        3. Natural Language Processing
          1. By Value
        4. Others
          1. By Value
      4. By Deployment Model
        1. Introduction
          1. Deployment Model By Value
        2. Cloud
          1. By Value
        3. On-Premises
          1. By Value
      5. By Applications
        1. Introduction
          1. Applications By Value
        2. Predictive Merchandising
          1. By Value
        3. Programmatic Advertising
          1. By Value
        4. Market Forecasting
          1. By Value
        5. In-Store Visual Monitoring and Surveillance
          1. By Value
        6. Location-Based Marketing
          1. By Value
        7. Others
          1. By Value
    8. Turkey
    9. Saudi Arabia
    10. South Africa
    11. Egypt
    12. Nigeria
    13. Rest of MEA
    1. Introduction
    2. By Offerings
      1. Introduction
        1. Offerings By Value
      2. Solutions
        1. By Value
      3. Services
        1. By Value
    3. By Type
      1. Introduction
        1. Type By Value
      2. Online
        1. By Value
      3. Offline
        1. By Value
    4. By Technology
      1. Introduction
        1. Technology By Value
      2. Machine Learning and Deep Learning
        1. By Value
      3. Natural Language Processing
        1. By Value
      4. Others
        1. By Value
    5. By Deployment Model
      1. Introduction
        1. Deployment Model By Value
      2. Cloud
        1. By Value
      3. On-Premises
        1. By Value
    6. By Applications
      1. Introduction
        1. Applications By Value
      2. Predictive Merchandising
        1. By Value
      3. Programmatic Advertising
        1. By Value
      4. Market Forecasting
        1. By Value
      5. In-Store Visual Monitoring and Surveillance
        1. By Value
      6. Location-Based Marketing
        1. By Value
      7. Others
        1. By Value
    7. Brazil
      1. By Offerings
        1. Introduction
          1. Offerings By Value
        2. Solutions
          1. By Value
        3. Services
          1. By Value
      2. By Type
        1. Introduction
          1. Type By Value
        2. Online
          1. By Value
        3. Offline
          1. By Value
      3. By Technology
        1. Introduction
          1. Technology By Value
        2. Machine Learning and Deep Learning
          1. By Value
        3. Natural Language Processing
          1. By Value
        4. Others
          1. By Value
      4. By Deployment Model
        1. Introduction
          1. Deployment Model By Value
        2. Cloud
          1. By Value
        3. On-Premises
          1. By Value
      5. By Applications
        1. Introduction
          1. Applications By Value
        2. Predictive Merchandising
          1. By Value
        3. Programmatic Advertising
          1. By Value
        4. Market Forecasting
          1. By Value
        5. In-Store Visual Monitoring and Surveillance
          1. By Value
        6. Location-Based Marketing
          1. By Value
        7. Others
          1. By Value
    8. Mexico
    9. Argentina
    10. Chile
    11. Colombia
    12. Rest of LATAM
    1. Artificial Intelligence in Retail Market Share By Players
    2. M&A Agreements & Collaboration Analysis
    1. Amazon Web Services Inc.
    2. Google Inc.
    3. Intel Corporation
    4. Microsoft Corporation
    5. Numenta Inc.
    6. NVIDIA Corporation
    7. Oracle Corporation
    8. com Inc.
    9. SAP SE
    10. Sentient Technologies
    11. ViSenze Pte Ltd.
    12. Others
    1. Research Data
      1. Secondary Data
        1. Major secondary sources
        2. Key data from secondary sources
      2. Primary Data
        1. Key data from primary sources
        2. Breakdown of primaries
      3. Secondary And Primary Research
        1. Key industry insights
    2. Market Size Estimation
      1. Bottom-Up Approach
      2. Top-Down Approach
      3. Market Projection
    3. Research Assumptions
      1. Assumptions
    4. Limitations
    5. Risk Assessment
    1. Discussion Guide
    2. Customization Options
    3. Related Reports
  3. Disclaimer

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