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AI in Food Retail and E-commerce: Global Markets

Publisher BCC Research
Published Nov 14, 2025
Length 177 Pages
SKU # WA20580212

Description

Report Scope

This report provides a comprehensive overview of the global AI in food retail and e-commerce market, including an analysis of key trends, growth drivers, and challenges. It offers market revenue estimates in US$ million, with base year data for 2024 and forecasts from 2025 through 2030.

The market is segmented by offering, technology, application, end user and region. Offerings consist of hardware, software and services. Technologies include machine learning (ML), natural language processing (NLP), computer vision, robotics and automation, and other AI technologies. Applications include personalized recommendations, inventory and demand forecasting, customer service automation and supply chain optimization). End users include online grocery platforms, quick commerce and delivery apps, supermarkets and hypermarkets. Regions consists of North America, Europe, Asia-Pacific, the Middle East and Africa and South America. The report also looking at the markets in some of the countries in each region.

The report evaluates market dynamics, including regulatory factors and technology roadmaps. It also covers competitive intelligence, including market share/ranking of key players, innovation strategies, M&A activity, profiles of vendors shaping the market for AI in food retail and e-commerce, and companies’ ESG initiatives.

Report Includes
  • 50 data tables and 79 additional tables
  • An overview of the global market for AI in food retail and e-commerce
  • In-depth analysis of global market trends, featuring historical revenue data for 2024, estimated figures for 2025, and projections of compound annual growth rates (CAGRs) through 2030
  • Evaluation of the current market size and revenue growth prospects specific to AI in food retail and e-commerce, accompanied by a market share analysis by technology, region, application and end-use industry
  • Analysis of current and future demand in the market, along with a detailed analysis of the competitive environment, market regulations and reimbursement practices
  • Analysis of drivers, challenges and opportunities affecting market growth
  • Coverage of evolving technologies, the current and future market potential, R&D activities, growth strategies, new product pipeline, regulatory framework and reimbursement scenarios and ESG trends of the market
  • Market share analysis of the key market participants in the food retail and e-commerce market, along with their research priorities, product portfolios, global rankings and competitive landscape
  • Profiles of major companies in the industry, including Microsoft, Alphabet (Google), Amazon (AWS), Nvidia, and IBM


Companies Mentioned

Accenture
Afresh Technologies Inc.
Alibaba Group Holding Ltd.
Alphabet Inc. (Google Inc.)
Amazon.Com Inc.
Ibm Corp.
Intel Corp.
Microsoft
Nvidia Corp.
Oracle
Relex Solution
Salesforce Inc.
Sap Se
Upshop
Zebra Technologies Corp.

Table of Contents

177 Pages
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Market Dynamics and Growth Factors
Emerging Technologies
Strategic Impacts and Future Outlook
Segmental Analysis
Regional Analysis
Conclusion
Chapter 2 Market Overview
Overview
Macroeconomic Factors
Technological Infrastructure and Digital Readiness
Global Economic Growth and Consumer Spending
Government Policy and Regulation
Urbanization and Demographic Shifts
Global Trade and Supply Chain Dynamics
Impact of U.S. Tariffs
Porter’s Five Forces Analysis
Threat of New Entrants (Moderate to High)
Bargaining Power of Buyers (Moderate to High)
Bargaining Power of Suppliers (Moderate to High)
Threat of Substitutes (Moderate)
Intensity of Competition (High)
AI’s Impact on the Food Retail and E-commerce Value Chain
Impact on Supply Chain and Operational Efficiency
Use Cases
Use Case 1: Walmart Uses AI Forecasting to Reduce Food Waste
Use Case 2: Instacart Discovers AI-Optimized Delivery Logistics
Use Case 3: Alibaba Scales Customer Support with AI Chatbots
Use Case 4: Amazon Turns to Personalized Product Recommendations
Use Case 5: Tesco Enhances Store Layout with Computer Vision
Chapter 3 Market Dynamics
Overview
Market Drivers
Increased Digitalization in the Food Industry
Expansion of Online Grocery Platforms and Quick Commerce
Consumer Demand for Personalized Shopping Experiences
Market Restraints
High Initial Investment and Integration Complexities
Data Privacy, Security and Ethical Concerns
Lack of Standardization and Interoperability
Market Opportunities
Consumer Demand for Autonomous and Last-Mile Deliveries
Voice-Based Commerce and Conversational AI
Smart Checkout Systems and Autonomous Stores
Chapter 4 Regulatory Landscape
Overview
Regulatory Scenario in the U.S.
Regulatory Scenario in Europe
Regulatory Scenario in Asia-Pacific
Japan
China
Other Countries
Chapter 5 Emerging Technology Trends and Patent Analysis
Emerging Trends
Newest Technologies and Application Trends
Emerging Technologies
Emerging Trends Impacting Retail Businesses
Patent Analysis
Patents by Publication Year
Patent by Jurisdiction
Patents by Leading Owner/Assignee
Recently Filed Patents
Granted Patents
Chapter 6 Market Segmentation Analysis
Segmentation Breakdown
Market Breakdown by Technology
Takeaways
Machine Learning
Computer Vision
Natural Language Processing
Robotics and Automation
Other AI-based Technologies
Market Breakdown by Application
Takeaways
Personalized Recommendations
Inventory and Demand Forecasting
Supply Chain Optimization
Customer Service Automation
Other AI Applications
Market Breakdown by End User
Takeaways
Online Grocery Platforms
Supermarkets and Hypermarkets
Quick Commerce and Delivery Apps
Other End Users
Geographic Breakdown
Market Breakdown by Region
Takeaways
North America
Europe
Asia-Pacific
Middle East and Africa
South America
Chapter 7 Competitive Intelligence
Takeaways
Competitive Analysis
Leveraging AI by Traditional Retailers and E-Commerce Giants
Strategic Analysis
Investment Landscape
Chapter 8 Sustainability in AI in Food Retail and E-Commerce: ESG Perspective
Overview
Sustainability Trends and Initiatives
Environmental Sustainability through AI
Social Sustainability through AI
Governance Aspects of AI Deployment
ESG Risk Ratings
Interpretation of ESG Ratings
Concluding Remarks from BCC Research
Chapter 9 Appendix
Research Methodology
Sources
Abbreviations
Company Profiles
ACCENTURE
AFRESH TECHNOLOGIES INC.
ALIBABA GROUP HOLDING LTD.
ALPHABET INC. (GOOGLE INC.)
AMAZON.COM INC.
IBM CORP.
INTEL CORP.
MICROSOFT
NVIDIA CORP.
ORACLE
RELEX SOLUTION
SALESFORCE INC.
SAP SE
UPSHOP
ZEBRA TECHNOLOGIES CORP.
Emerging Start-ups/Market Disruptors

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