US Artificial Intelligence In Retail Market

ID: MRFR/ICT/14968-HCR
100 Pages
Nirmit Biswas
Last Updated: April 06, 2026
US 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) and By End Use (E-commerce, Brick-and-Mortar Stores, Wholesale and Distribution) - Forecast to 2035
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US Artificial Intelligence In Retail Market

Market Size

Forecast Period2025 - 2035
CAGR (2025 - 2035)22.68%
2024 Market Size$ 1,950 Million
2025 Market Size$ 2,392.26 Million
2035 Market Size$ 18,470 Million

Key Players

Amazon
Google
IBM
Microsoft
Salesforce
SAP
Trends
  • Personalization and Customer Engagement
  • Supply Chain Optimization
  • Enhanced Customer Service
Opportunities
  • Enhanced Fraud Detection
  • Automation of Routine Tasks
  • Data-Driven Decision Making
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 US MARKET ANALYSIS BY APPLICATION
    3. 6.3 US MARKET ANALYSIS BY DEPLOYMENT MODE
    4. 6.4 US MARKET ANALYSIS BY TECHNOLOGY
    5. 6.5 US 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 US 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

US Artificial Intelligence In Retail Market Segmentation

US Artificial Intelligence In Retail Market By Application (USD Million, 2025-2035)

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

US Artificial Intelligence In Retail Market By Deployment Mode (USD Million, 2025-2035)

  • Cloud-Based
  • On-Premises
  • Hybrid

US Artificial Intelligence In Retail Market By Technology (USD Million, 2025-2035)

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

US Artificial Intelligence In Retail Market By End Use (USD Million, 2025-2035)

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

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