DUBLIN: The "AI in Food Retail and E-commerce: Global Markets" report has been added to ResearchAndMarkets.com's offering.
The global market for AI in food retail and e-commerce is expected to grow from $3.5 billion in 2025 and is projected to reach $13.4 billion by the end of 2030, at a compound annual growth rate (CAGR) of 30.8% during the forecast period of 2025 to 2030.
This report provides a comprehensive overview of the global AI in food retail and e-commerce market, including an analysis of key trends, growth drivers, and challenges. It offers market revenue estimates in US$ million, with base year data for 2024 and forecasts from 2025 through 2030.
The global market for AI in food retail and e-commerce is driven by rising consumer demand for personalized shopping experiences, increased digitalization in the food industry, and the need for greater operational agility post-COVID-19. Online grocery platforms, quick commerce (q-commerce), and omnichannel retail strategies are fueling the adoption of AI technologies.
Retailers and developers of e-commerce platforms are investing in AI-powered solutions to reduce food waste, optimize delivery routes, and improve profitability. As AI capabilities evolve, opportunities will arise in autonomous delivery, voice-based commerce, innovative checkout systems, and predictive replenishment.
Leaders in the market include global tech firms such as Amazon, Google Cloud, Microsoft, IBM and SAP, as well as retail giants like Walmart, Kroger, and Carrefour. AI-focused startups, such as Afresh, Shelf Engine, Pensa Systems and Trax, offers solutions for food inventory optimization, autonomous store management, and shopper behavior analytics.
The 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
Key Attributes:
| Report Attribute | Details |
| No. of Pages | 177 |
| Forecast Period | 2025 - 2030 |
| Estimated Market Value (USD) in 2025 | $3.5 Billion |
| Forecasted Market Value (USD) by 2030 | $13.4 Billion |
| Compound Annual Growth Rate | 30.8% |
| Regions Covered | Global |
Key Topics Covered:
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
Companies Featured
- 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.
For more information about this report visit https://www.researchandmarkets.com/r/ya26v0
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Fonte: Business Wire