Grocery List Generation Artificial Intelligence (AI) Global Market Report 2025

The grocery list generation artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.05 billion in 2024 to $1.35 billion in 2025 at a compound annual growth rate (CAGR) of 28.6%. The growth in the historic period can be attributed to the increasing use of predictive analytics for grocery planning, rising deployment of AI-powered recommendation engines, growing integration of voice assistants in smart kitchens, increasing automation in online grocery platforms, and the rise in consumer engagement through mobile shopping applications.

The grocery list generation artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $3.65 billion in 2029 at a compound annual growth rate (CAGR) of 28.3%. The growth in the forecast period can be attributed to the increasing integration of AI with smart home ecosystems, rising adoption of voice-activated grocery assistants, growing demand for personalized nutrition and meal planning, expanding partnerships between retailers and technology companies, and increasing investment in artificial intelligence-driven grocery delivery services. Key trends in the forecast period include advancement in natural language processing for smarter list generation, innovation in predictive analytics for personalized shopping, development of artificial intelligence-driven inventory management solutions, advancement in integration with wearable and mobile devices, and innovation in real-time recommendation and meal planning systems.

The growing demand for personalized shopping experiences is expected to drive the growth of the grocery list generation artificial intelligence market in the coming years. Personalized shopping experiences involve customizing product suggestions, offers, and shopping processes for each consumer based on their behavior, preferences, and transaction data. This demand is increasing due to the rising adoption of online grocery shopping, which provides retailers with valuable customer data to analyze and use for personalization. Grocery list generation artificial intelligence enhances personalized shopping by utilizing shopper history, recipes, dietary preferences, and inventory data to create tailored lists, recommendations, and auto-replenishment suggestions that improve convenience and conversion. For instance, in November 2024, according to the United States Department of Agriculture (USDA), a United States government agency, about 19.4% of grocery shoppers aged 15 and older in the United States purchased groceries online at least once in the past 30 days in 2022 and 2023, indicating consistent growth in digital grocery adoption. Therefore, the growing demand for personalized shopping experiences is fueling the growth of the grocery list generation artificial intelligence market.

Key companies operating in the grocery list generation artificial intelligence market are focusing on launching artificial intelligence-powered list-to-cart tools to enhance the online shopping experience and reduce manual effort during item selection. An artificial intelligence-powered list-to-cart tool applies machine learning and natural language processing to identify, extract, and categorize grocery items from written or digital lists, automatically transforming them into ready-to-checkout orders within online retail platforms. For instance, in July 2025, Careem Networks FZ LLC, a United Arab Emirates-based technology company, introduced an artificial intelligence-powered grocery list tool designed to simplify shopping by enabling users to upload handwritten or typed lists directly within the Careem app. The tool uses artificial intelligence to recognize items, match them with available products, and generate a personalized shopping page that supports one-click addition to the cart. It accommodates multiple input methods, including image uploads, text scanning, and manual entries, ensuring wide accessibility.

In March 2024, Wynshop Ltd., a United States-based digital commerce platform company, acquired Halla for an undisclosed amount. Through this acquisition, Wynshop aimed to enhance its artificial intelligence-powered personalization capabilities in grocery e-commerce, allowing its retail clients to offer more accurate product recommendations, substitutions, and search experiences. Halla is a United States-based artificial intelligence company specializing in grocery personalization and recommendation, particularly in predictive grocery list generation and optimization.

Major players in the grocery list generation artificial intelligence (ai) market are Walmart Inc., Amazon.com Inc., The Kroger Co., Albertsons Companies Inc., H-E-B Grocery Company LP, J Sainsbury Plc, Instacart, Ocado Group Plc, Peapod Digital Labs LLC, Mercato Inc., Tesco Plc, Cozi Group Inc., Mealime Inc., Bring! Labs AG, Listonic Sp. z o.o., ShopWise AI Ltd., Listiq Ltd., Shoptimus AI Inc., Pantry Aide Inc., and LimeList Technologies Inc.

North America was the largest region in the grocery list generation artificial intelligence (AI) market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in grocery list generation artificial intelligence (AI) report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the grocery list generation artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report’s Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the retail and wholesale sector, particularly in sourcing, inventory management, and pricing strategies. Higher duties on imported consumer goods including electronics, apparel, furniture, and packaged foods have raised procurement costs for retailers and wholesalers, compelling many to either increase prices for end consumers or absorb losses. Small and mid-sized businesses with limited pricing power are especially vulnerable, often facing squeezed margins and reduced competitiveness. Inventory cycles are also disrupted as firms grapple with delays and uncertainty in international supply chains. Additionally, retaliatory tariffs in foreign markets have curtailed export opportunities for U.S. brands, limiting revenue growth. In response, companies are shifting toward domestic and regional suppliers, investing in supply chain resilience, and adopting data-driven demand forecasting to navigate cost volatility and maintain customer satisfaction.

The grocery list generation artificial intelligence (AI) market research report is one of a series of new reports that provides grocery list generation artificial intelligence (AI) market statistics, including the grocery list generation artificial intelligence (AI) industry global market size, regional shares, competitors with the grocery list generation artificial intelligence (AI) market share, detailed grocery list generation artificial intelligence (AI) market segments, market trends, and opportunities, and any further data you may need to thrive in the grocery list generation artificial intelligence (AI) industry. This grocery list generation artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

Grocery list generation artificial intelligence refers to the use of advanced machine learning and natural language processing algorithms to automatically create, optimize, and personalize grocery lists based on user preferences, dietary needs, purchase history, and consumption patterns. This technology enhances the shopping experience by predicting required items, reducing waste, and providing greater convenience. It enables users to plan meals effectively and maintain consistent inventory management with minimal manual effort.

The primary components of grocery list generation artificial intelligence include software and services. Software solutions consist of intelligent algorithms and applications that automate grocery list creation using customer data, preferences, and purchase history, while services involve implementation, integration, training, and maintenance to assist retailers and users in adopting AI-based tools. Various deployment modes include cloud-based and on-premises, and the technology is used by multiple end-users such as individuals, retailers, food delivery services, supermarkets or hypermarkets, and others.

The grocery list generation artificial intelligence (AI) market includes revenues earned by entities by providing services such as artificial intelligence (AI)-powered grocery list creation, personalized product recommendations, meal planning assistance, integration with e-commerce and smart home platforms, inventory optimization, and data-driven shopping insights. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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