The grocery list generation artificial intelligence (AI) market size has grown exponentially in recent years. It will grow from $1.35 billion in 2025 to $1.73 billion in 2026 at a compound annual growth rate (CAGR) of 28.5%. The growth in the historic period can be attributed to rise of e-commerce grocery platforms, growth in smartphone penetration, increasing adoption of digital payment systems, expansion of online food delivery services, consumer demand for convenience.
The grocery list generation artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $4.68 billion in 2030 at a compound annual growth rate (CAGR) of 28.2%. The growth in the forecast period can be attributed to advancement in machine learning algorithms, integration of AI with smart kitchen appliances, growing focus on food waste reduction, increasing adoption of subscription-based grocery models, rising demand for personalized nutrition. Major trends in the forecast period include personalized meal planning automation, predictive grocery replenishment, diet and health-based recommendation systems, retail inventory synchronization, waste reduction through smart consumption tracking.
The increasing demand for personalized shopping experiences is anticipated to drive the expansion of the grocery list generation artificial intelligence (AI) market in the coming years. Personalized shopping experiences involve customizing product recommendations, promotions, and shopping processes for each consumer based on their behavior, preferences, and purchase history. The rise in personalized shopping experiences is being fueled by greater online grocery adoption, which provides retailers with more customer data to analyze and leverage for personalization. Grocery list generation AI enables personalized shopping experiences by utilizing shopper history, recipes, dietary requirements, and inventory information to generate customized lists, suggestions, and automatic replenishment recommendations that enhance convenience and boost conversion. For example, in 2024, Twilio Segment, a US-based customer data platform company, reported that 89% of business leaders considered personalization essential to their organization’s success over the next three years. Consequently, the increasing demand for personalized shopping experiences is propelling the growth of the grocery list generation artificial intelligence (AI) 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 companies operating 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., LimeList Technologies Inc.
North America was the largest region in the grocery list generation artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the grocery list generation artificial intelligence (AI) market report are Asia-Pacific, South East Asia, 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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
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.
This product will be delivered within 1-3 business days.
The grocery list generation artificial intelligence (AI) market size is expected to see exponential growth in the next few years. It will grow to $4.68 billion in 2030 at a compound annual growth rate (CAGR) of 28.2%. The growth in the forecast period can be attributed to advancement in machine learning algorithms, integration of AI with smart kitchen appliances, growing focus on food waste reduction, increasing adoption of subscription-based grocery models, rising demand for personalized nutrition. Major trends in the forecast period include personalized meal planning automation, predictive grocery replenishment, diet and health-based recommendation systems, retail inventory synchronization, waste reduction through smart consumption tracking.
The increasing demand for personalized shopping experiences is anticipated to drive the expansion of the grocery list generation artificial intelligence (AI) market in the coming years. Personalized shopping experiences involve customizing product recommendations, promotions, and shopping processes for each consumer based on their behavior, preferences, and purchase history. The rise in personalized shopping experiences is being fueled by greater online grocery adoption, which provides retailers with more customer data to analyze and leverage for personalization. Grocery list generation AI enables personalized shopping experiences by utilizing shopper history, recipes, dietary requirements, and inventory information to generate customized lists, suggestions, and automatic replenishment recommendations that enhance convenience and boost conversion. For example, in 2024, Twilio Segment, a US-based customer data platform company, reported that 89% of business leaders considered personalization essential to their organization’s success over the next three years. Consequently, the increasing demand for personalized shopping experiences is propelling the growth of the grocery list generation artificial intelligence (AI) 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 companies operating 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., LimeList Technologies Inc.
North America was the largest region in the grocery list generation artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the grocery list generation artificial intelligence (AI) market report are Asia-Pacific, South East Asia, 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; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
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.
This product will be delivered within 1-3 business days.
Table of Contents
1. Executive Summary
2. Grocery List Generation Artificial Intelligence (AI) Market Characteristics
3. Grocery List Generation Artificial Intelligence (AI) Market Supply Chain Analysis
4. Global Grocery List Generation Artificial Intelligence (AI) Market Trends and Strategies
5. Grocery List Generation Artificial Intelligence (AI) Market Analysis of End Use Industries
7. Global Grocery List Generation Artificial Intelligence (AI) Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
8. Global Grocery List Generation Artificial Intelligence (AI) Total Addressable Market (TAM) Analysis for the Market
9. Grocery List Generation Artificial Intelligence (AI) Market Segmentation
10. Grocery List Generation Artificial Intelligence (AI) Market Regional and Country Analysis
11. Asia-Pacific Grocery List Generation Artificial Intelligence (AI) Market
12. China Grocery List Generation Artificial Intelligence (AI) Market
13. India Grocery List Generation Artificial Intelligence (AI) Market
14. Japan Grocery List Generation Artificial Intelligence (AI) Market
15. Australia Grocery List Generation Artificial Intelligence (AI) Market
16. Indonesia Grocery List Generation Artificial Intelligence (AI) Market
17. South Korea Grocery List Generation Artificial Intelligence (AI) Market
18. Taiwan Grocery List Generation Artificial Intelligence (AI) Market
19. South East Asia Grocery List Generation Artificial Intelligence (AI) Market
20. Western Europe Grocery List Generation Artificial Intelligence (AI) Market
21. UK Grocery List Generation Artificial Intelligence (AI) Market
22. Germany Grocery List Generation Artificial Intelligence (AI) Market
23. France Grocery List Generation Artificial Intelligence (AI) Market
24. Italy Grocery List Generation Artificial Intelligence (AI) Market
25. Spain Grocery List Generation Artificial Intelligence (AI) Market
26. Eastern Europe Grocery List Generation Artificial Intelligence (AI) Market
27. Russia Grocery List Generation Artificial Intelligence (AI) Market
28. North America Grocery List Generation Artificial Intelligence (AI) Market
29. USA Grocery List Generation Artificial Intelligence (AI) Market
30. Canada Grocery List Generation Artificial Intelligence (AI) Market
31. South America Grocery List Generation Artificial Intelligence (AI) Market
32. Brazil Grocery List Generation Artificial Intelligence (AI) Market
33. Middle East Grocery List Generation Artificial Intelligence (AI) Market
34. Africa Grocery List Generation Artificial Intelligence (AI) Market
36. Grocery List Generation Artificial Intelligence (AI) Market Competitive Landscape and Company Profiles
37. Grocery List Generation Artificial Intelligence (AI) Market Other Major and Innovative Companies
40. Grocery List Generation Artificial Intelligence (AI) Market High Potential Countries, Segments and Strategies
41. Appendix
Executive Summary
Grocery List Generation Artificial Intelligence (AI) Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses grocery list generation artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for grocery list generation artificial intelligence (ai)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The grocery list generation artificial intelligence (ai) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Software; Services2) By Deployment Mode: Cloud-Based; on-Premises
3) By End-User: Individuals; Retailers; Food Delivery Services; Supermarkets or Hypermarkets; Other End-Users
Subsegments:
1) By Software: Machine Learning Platforms; Natural Language Processing Tools; Computer Vision Systems; Data Analytics Software; Recommendation Engines2) By Services: Integration and Deployment Services; Training and Consulting Services; Support and Maintenance Services; Managed Services
Companies Mentioned: 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.; LimeList Technologies Inc.
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Grocery List Generation Artificial Intelligence (AI) market report include:- 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.
- LimeList Technologies Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 1.73 Billion |
| Forecasted Market Value ( USD | $ 4.68 Billion |
| Compound Annual Growth Rate | 28.2% |
| Regions Covered | Global |
| No. of Companies Mentioned | 20 |
