Report Highlights
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 $13.4 billion by the end of 2030, at a compound annual growth rate (CAGR) of 30.8% during the forecast period of 2025 to 2030.
Report Includes
- 50 data tables and 79 additional tables
- An overview of the global market for AI in food retail and e-commerce
- In-depth analysis of global market trends, featuring historical revenue data for 2024, estimated figures for 2025, and projections of compound annual growth rates (CAGRs) through 2030
- Evaluation of the current market size and revenue growth prospects specific to AI in food retail and e-commerce, accompanied by a market share analysis by technology, region, application and end-use industry
- Analysis of current and future demand in the market, along with a detailed analysis of the competitive environment, market regulations and reimbursement practices
- Analysis of drivers, challenges and opportunities affecting market growth
- Coverage of evolving technologies, the current and future market potential, R&D activities, growth strategies, new product pipeline, regulatory framework and reimbursement scenarios and ESG trends of the market
- Market share analysis of the key market participants in the food retail and e-commerce market, along with their research priorities, product portfolios, global rankings and competitive landscape
- Profiles of major companies in the industry, including Microsoft, Alphabet (Google), Amazon (AWS), Nvidia, and IBM
Report Scope
This report provides a comprehensive overview of the global AI in food retail and e-commerce market, including an analysis of key trends, growth drivers, and challenges. It offers market revenue estimates in US$ 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 Synopsis
| Report Metrics | Details | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Base year considered | 2024 | ||||||||||||||||
| Forecast period considered | 2025-2030 | ||||||||||||||||
| Base year market size | $2.7 Billion | ||||||||||||||||
| Market size forecast | $13.4 Billion | ||||||||||||||||
| Growth rate | CAGR of 30.8% for the forecast period of 2025-2030 | ||||||||||||||||
| Units considered | $ Millions | ||||||||||||||||
| Segments covered | Technology, Application, End User, and Region | ||||||||||||||||
| Regions covered | North America, Europe, Asia-Pacific, South America, and MEA | ||||||||||||||||
| Countries covered | U.S., Canada, Mexico, Germany, France, the U.K., Italy, Spain, China, India, Japan, South Korea, Australia, GCC, South Africa, Brazil, and Argentina | ||||||||||||||||
| Key Market Drivers |
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| Companies studied |
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Frequently Asked Questions (FAQs)
- Increased Digitalization in the Food Industry
- Expansion of Online Grocery Platforms and Quick Commerce
- Rising Consumer Demand for Personalized Shopping Experiences
- High Initial Investment and Integration Complexities
- Data Privacy, Security, and Ethical Concerns
- Lack of Standardization and Interoperability
- Smart Checkout Systems and Autonomous Stores
- Growing Consumer Demand for Autonomous and Last-Mile Deliveries
- Voice-Based Commerce and Conversational AI##Smart Checkout Systems and Autonomous Stores
Analyst Credentials
Kunal R. Nagpure– Consultant-Food & Beverage Research
Kunal Nagpure is an accomplished market researcher with over eight years of experience in the F&B, Environment, and Agriculture markets. He is passionate about using his knowledge to help clients make data-driven decisions and achieve their business objectives. With a keen eye for detail and a strong analytical mindset, Kunal has delivered numerous successful research projects that have enabled clients to gain a competitive edge in their respective markets. Academically, Kunal holds a master’s degree in Marketing and Operations and a bachelor’s degree in Biotech Engineering.
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