+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

AI Driven Meal Planning Apps Market Report 2026

  • PDF Icon

    Report

  • 250 Pages
  • February 2026
  • Region: Global
  • The Business Research Company
  • ID: 6227056
The AI driven meal planning apps market size has grown exponentially in recent years. It will grow from $0.83 billion in 2025 to $1.03 billion in 2026 at a compound annual growth rate (CAGR) of 24.6%. The growth in the historic period can be attributed to rising health awareness, growth of mobile health apps, demand for personalized diets, early nutrition tracking adoption, increase in lifestyle diseases.

The AI driven meal planning apps market size is expected to see exponential growth in the next few years. It will grow to $2.45 billion in 2030 at a compound annual growth rate (CAGR) of 24.1%. The growth in the forecast period can be attributed to integration with wearable health data, demand for preventive healthcare tools, AI driven wellness personalization, growth of subscription health apps, expansion of digital nutrition ecosystems. Major trends in the forecast period include personalized nutrition recommendations, automated grocery list generation, adaptive meal scheduling, AI based dietary compliance, ingredient optimization algorithms.

The rise in health consciousness is expected to drive the growth of the AI-driven meal planning apps market in the coming years. Health consciousness refers to the extent to which individuals are aware of and concerned about their overall health and well-being. The increase in health consciousness is driven by greater access to health-related information online, enabling people to make more informed lifestyle decisions. AI-driven meal planning apps support this trend by offering personalized nutrition guidance, monitoring dietary patterns, and simplifying healthy food choices based on individual goals, preferences, and medical requirements. For example, in 2024, the International Food Information Council, a U.S.-based nonprofit organization, reported that the percentage of consumers trying to increase their protein intake has consistently risen - from 59% in 2022 to 67% in 2023 and 71% in 2024. Therefore, the rising focus on health consciousness is contributing to the growth of the AI-driven meal planning apps market.

Key players in the AI-driven meal planning apps market are introducing innovative features such as AI-powered personalization to improve user experience and convenience. AI-powered personalization involves using artificial intelligence to generate meal recommendations based on users' dietary preferences, health goals, and ingredient availability. For instance, in October 2023, MyFoodPlanit, an India-based food technology company, launched its all-in-one food management platform featuring an AI-powered tool named Orion. Orion helps users plan meals by creating personalized menus, grocery lists, and tracking nutritional values. It tailors recipe suggestions based on personal health goals and simplifies shopping by automatically compiling ingredient lists. This end-to-end solution enhances the efficiency and effectiveness of meal planning.

In February 2025, MyFitnessPal, a US-based provider of nutrition and food tracking services, acquired Intent, an AI-driven meal planning platform, for an undisclosed sum. This strategic acquisition aims to bolster MyFitnessPal’s capabilities in personalized nutrition and behavioral change by integrating Intent’s advanced AI technologies and behavioral science expertise. With this addition, MyFitnessPal is expected to offer more precise, individualized health tracking and meal planning experiences to its users, thereby strengthening its position in the AI-powered nutrition market.

Major companies operating in the AI driven meal planning apps market are Noom Inc., Meelio, Tastemade, MyFitnessPal Inc., Allrecipes, Ovia Health, Lifesum AB, Nutrino, PlateJoy LLC, Kitchen Stories, Green Kitchen Stories, SideChef, Forks Over Knives, Mealime, BigOven, Plan to Eat LLC, MealPrepPro Inc., MyNetDiary Inc., SPOKIN INC., Mealboard.

North America was the largest region in the AI-driven meal planning apps market in 2025. The regions covered in the AI driven meal planning apps market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the AI driven meal planning apps market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have had a limited direct impact on the AI driven meal planning apps market due to its predominantly software based nature. However, tariffs affecting cloud services and digital infrastructure have influenced operational costs for app developers. Regions such as north america and asia pacific have seen moderate pricing pressures tied to global cloud dependencies. At the same time, tariffs have encouraged optimization of cloud usage and adoption of regional hosting solutions. This has improved cost efficiency and supported scalable deployment. Overall, the market remains resilient with sustained consumer adoption.

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

AI-powered meal planning applications utilize artificial intelligence to deliver customized meal recommendations tailored to users' dietary preferences, health goals, and restrictions. These apps create automated grocery lists and monitor nutritional intake to encourage healthier eating habits. Additionally, they streamline meal schedules and adapt recipes based on the ingredients users have on hand.

The primary platform types for AI-driven meal planning apps include mobile applications, web-based platforms, and desktop software. Mobile apps are designed for use on smartphones and tablets, leveraging AI to assist users in planning their meals. The supported diet categories include vegan and vegetarian, keto and low-carb, paleo and Whole30, Mediterranean and heart-healthy, diabetes-specific and medical diets, as well as high-protein and muscle-gain plans. These apps operate under various business models, including freemium, subscription-based, one-time purchase, and ad-supported options. They cater to a range of users such as individuals and families, fitness enthusiasts and athletes, dietitians and nutritionists, as well as healthcare providers and patients managing chronic conditions.

The AI-driven meal planning apps market consists of revenues earned by entities by providing services such as personalized meal plans, recipe suggestions, nutritional analysis, and grocery lists and shopping assistance. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven meal planning apps market includes sales of diet-specific meal planners, recipe recommendation and discovery apps. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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
1.1. Key Market Insights (2020-2035)
1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
1.3. Major Factors Driving the Market
1.4. Top Three Trends Shaping the Market
2. AI Driven Meal Planning Apps Market Characteristics
2.1. Market Definition & Scope
2.2. Market Segmentations
2.3. Overview of Key Products and Services
2.4. Global AI Driven Meal Planning Apps Market Attractiveness Scoring and Analysis
2.4.1. Overview of Market Attractiveness Framework
2.4.2. Quantitative Scoring Methodology
2.4.3. Factor-Wise Evaluation
Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment and Risk Profile Evaluation
2.4.4. Market Attractiveness Scoring and Interpretation
2.4.5. Strategic Implications and Recommendations
3. AI Driven Meal Planning Apps Market Supply Chain Analysis
3.1. Overview of the Supply Chain and Ecosystem
3.2. List of Key Raw Materials, Resources & Suppliers
3.3. List of Major Distributors and Channel Partners
3.4. List of Major End Users
4. Global AI Driven Meal Planning Apps Market Trends and Strategies
4.1. Key Technologies & Future Trends
4.1.1 Artificial Intelligence & Autonomous Intelligence
4.1.2 Digitalization, Cloud, Big Data & Cybersecurity
4.1.3 Biotechnology, Genomics & Precision Medicine
4.1.4 Smart Infrastructure & Connected Ecosystems
4.1.5 Immersive Technologies (Ar/Vr/Xr) & Digital Experiences
4.2. Major Trends
4.2.1 Personalized Nutrition Recommendations
4.2.2 Automated Grocery List Generation
4.2.3 Adaptive Meal Scheduling
4.2.4 AI Based Dietary Compliance
4.2.5 Ingredient Optimization Algorithms
5. AI Driven Meal Planning Apps Market Analysis of End Use Industries
5.1 Individuals and Households
5.2 Fitness Enthusiasts
5.3 Dietitians and Nutritionists
5.4 Healthcare Providers
5.5 Chronic Disease Patients
6. AI Driven Meal Planning Apps Market - Macro Economic Scenario Including the Impact of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, and Covid and Recovery on the Market
7. Global AI Driven Meal Planning Apps Strategic Analysis Framework, Current Market Size, Market Comparisons and Growth Rate Analysis
7.1. Global AI Driven Meal Planning Apps PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
7.2. Global AI Driven Meal Planning Apps Market Size, Comparisons and Growth Rate Analysis
7.3. Global AI Driven Meal Planning Apps Historic Market Size and Growth, 2020-2025, Value ($ Billion)
7.4. Global AI Driven Meal Planning Apps Forecast Market Size and Growth, 2025-2030, 2035F, Value ($ Billion)
8. Global AI Driven Meal Planning Apps Total Addressable Market (TAM) Analysis for the Market
8.1. Definition and Scope of Total Addressable Market (TAM)
8.2. Methodology and Assumptions
8.3. Global Total Addressable Market (TAM) Estimation
8.4. TAM vs. Current Market Size Analysis
8.5. Strategic Insights and Growth Opportunities from TAM Analysis
9. AI Driven Meal Planning Apps Market Segmentation
9.1. Global AI Driven Meal Planning Apps Market, Segmentation by Platform, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Mobile Apps, Web-Based Platforms, Desktop Applications
9.2. Global AI Driven Meal Planning Apps Market, Segmentation by Diet Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Vegan and Vegetarian, Keto and Low-Carb, Paleo and Whole30, Mediterranean and Heart-Healthy, Diabetes and Medical Diets, High-Protein and Muscle Gain
9.3. Global AI Driven Meal Planning Apps Market, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Freemium, Subscription-Based, One-Time Purchase, Ad-Supported Models
9.4. Global AI Driven Meal Planning Apps Market, Segmentation by End User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Individuals and Households, Fitness Enthusiasts and Athletes, Dietitians and Nutritionists, Healthcare Providers and Chronic Disease Patients
9.5. Global AI Driven Meal Planning Apps Market, Sub-Segmentation of Mobile Apps, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
iOS-Based Apps, Android-Based Apps, Cross-Platform Apps
9.6. Global AI Driven Meal Planning Apps Market, Sub-Segmentation of Web-Based Platforms, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Subscription-Based Services, Freemium Models, Integrated With Grocery and Meal Delivery Services
9.7. Global AI Driven Meal Planning Apps Market, Sub-Segmentation of Desktop Applications, by Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
Windows-Based Software, macOS-Based Software, Linux-Based Software
10. AI Driven Meal Planning Apps Market, Industry Metrics by Country
10.1. Global AI Driven Meal Planning Apps Market, Average Selling Price by Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
10.2. Global AI Driven Meal Planning Apps Market, Average Spending Per Capita (Employed) by Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
11. AI Driven Meal Planning Apps Market Regional and Country Analysis
11.1. Global AI Driven Meal Planning Apps Market, Split by Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
11.2. Global AI Driven Meal Planning Apps Market, Split by Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
12. Asia-Pacific AI Driven Meal Planning Apps Market
12.1. Asia-Pacific AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
12.2. Asia-Pacific AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
13. China AI Driven Meal Planning Apps Market
13.1. China AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
13.2. China AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
14. India AI Driven Meal Planning Apps Market
14.1. India AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
15. Japan AI Driven Meal Planning Apps Market
15.1. Japan AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
15.2. Japan AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
16. Australia AI Driven Meal Planning Apps Market
16.1. Australia AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
17. Indonesia AI Driven Meal Planning Apps Market
17.1. Indonesia AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
18. South Korea AI Driven Meal Planning Apps Market
18.1. South Korea AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
18.2. South Korea AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
19. Taiwan AI Driven Meal Planning Apps Market
19.1. Taiwan AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
19.2. Taiwan AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
20. South East Asia AI Driven Meal Planning Apps Market
20.1. South East Asia AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
20.2. South East Asia AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
21. Western Europe AI Driven Meal Planning Apps Market
21.1. Western Europe AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
21.2. Western Europe AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
22. UK AI Driven Meal Planning Apps Market
22.1. UK AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
23. Germany AI Driven Meal Planning Apps Market
23.1. Germany AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
24. France AI Driven Meal Planning Apps Market
24.1. France AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
25. Italy AI Driven Meal Planning Apps Market
25.1. Italy AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
26. Spain AI Driven Meal Planning Apps Market
26.1. Spain AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
27. Eastern Europe AI Driven Meal Planning Apps Market
27.1. Eastern Europe AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
27.2. Eastern Europe AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
28. Russia AI Driven Meal Planning Apps Market
28.1. Russia AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
29. North America AI Driven Meal Planning Apps Market
29.1. North America AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
29.2. North America AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
30. USA AI Driven Meal Planning Apps Market
30.1. USA AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
30.2. USA AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
31. Canada AI Driven Meal Planning Apps Market
31.1. Canada AI Driven Meal Planning Apps Market Overview
Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
31.2. Canada AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
32. South America AI Driven Meal Planning Apps Market
32.1. South America AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
32.2. South America AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
33. Brazil AI Driven Meal Planning Apps Market
33.1. Brazil AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
34. Middle East AI Driven Meal Planning Apps Market
34.1. Middle East AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
34.2. Middle East AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
35. Africa AI Driven Meal Planning Apps Market
35.1. Africa AI Driven Meal Planning Apps Market Overview
Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
35.2. Africa AI Driven Meal Planning Apps Market, Segmentation by Platform, Segmentation by Diet Type, Segmentation by Business Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
36. AI Driven Meal Planning Apps Market Regulatory and Investment Landscape
37. AI Driven Meal Planning Apps Market Competitive Landscape and Company Profiles
37.1. AI Driven Meal Planning Apps Market Competitive Landscape and Market Share 2024
37.1.1. Top 10 Companies (Ranked by revenue/share)
37.2. AI Driven Meal Planning Apps Market - Company Scoring Matrix
37.2.1. Market Revenues
37.2.2. Product Innovation Score
37.2.3. Brand Recognition
37.3. AI Driven Meal Planning Apps Market Company Profiles
37.3.1. Noom Inc. Overview, Products and Services, Strategy and Financial Analysis
37.3.2. Meelio Overview, Products and Services, Strategy and Financial Analysis
37.3.3. Tastemade Overview, Products and Services, Strategy and Financial Analysis
37.3.4. MyFitnessPal Inc. Overview, Products and Services, Strategy and Financial Analysis
37.3.5. Allrecipes Overview, Products and Services, Strategy and Financial Analysis
38. AI Driven Meal Planning Apps Market Other Major and Innovative Companies
Ovia Health, Lifesum AB, Nutrino, PlateJoy LLC, Kitchen Stories, Green Kitchen Stories, SideChef, Forks Over Knives, Mealime, BigOven, Plan to Eat LLC, MealPrepPro Inc., MyNetDiary Inc., SPOKIN INC., Mealboard
39. Global AI Driven Meal Planning Apps Market Competitive Benchmarking and Dashboard40. Key Mergers and Acquisitions in the AI Driven Meal Planning Apps Market
41. AI Driven Meal Planning Apps Market High Potential Countries, Segments and Strategies
41.1. AI Driven Meal Planning Apps Market in 2030 - Countries Offering Most New Opportunities
41.2. AI Driven Meal Planning Apps Market in 2030 - Segments Offering Most New Opportunities
41.3. AI Driven Meal Planning Apps Market in 2030 - Growth Strategies
41.3.1. Market Trend Based Strategies
41.3.2. Competitor Strategies
42. Appendix
42.1. Abbreviations
42.2. Currencies
42.3. Historic and Forecast Inflation Rates
42.4. Research Inquiries
42.5. About the Analyst
42.6. Copyright and Disclaimer

Executive Summary

AI Driven Meal Planning Apps Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses AI driven meal planning apps 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.

Reasons to Purchase:

  • Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
  • Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
  • Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

Description

Where is the largest and fastest growing market for AI driven meal planning apps? 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 AI driven meal planning apps 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 Platform: Mobile Apps; Web-Based Platforms; Desktop Applications
2) By Diet Type: Vegan And Vegetarian; Keto And Low-Carb; Paleo And Whole30; Mediterranean And Heart-Healthy; Diabetes And Medical Diets; High-Protein And Muscle Gain
3) By Business Model: Freemium; Subscription-Based; One-Time Purchase; Ad-Supported Models
4) By End User: Individuals And Households; Fitness Enthusiasts And Athletes; Dietitians And Nutritionists; Healthcare Providers And Chronic Disease Patients

Subsegments:

1) By Mobile Apps: iOS-Based Apps; Android-Based Apps; Cross-Platform Apps
2) By Web-Based Platforms: Subscription-Based Services; Freemium Models; Integrated With Grocery And Meal Delivery Services
3) By Desktop Applications: Windows-Based Software; macOS-Based Software; Linux-Based Software

Companies Mentioned: Noom Inc.; Meelio; Tastemade; MyFitnessPal Inc.; Allrecipes; Ovia Health; Lifesum AB; Nutrino; PlateJoy LLC; Kitchen Stories; Green Kitchen Stories; SideChef; Forks Over Knives; Mealime; BigOven; Plan to Eat LLC; MealPrepPro Inc.; MyNetDiary Inc.; SPOKIN INC.; Mealboard

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 AI Driven Meal Planning Apps market report include:
  • Noom Inc.
  • Meelio
  • Tastemade
  • MyFitnessPal Inc.
  • Allrecipes
  • Ovia Health
  • Lifesum AB
  • Nutrino
  • PlateJoy LLC
  • Kitchen Stories
  • Green Kitchen Stories
  • SideChef
  • Forks Over Knives
  • Mealime
  • BigOven
  • Plan to Eat LLC
  • MealPrepPro Inc.
  • MyNetDiary Inc.
  • SPOKIN INC.
  • Mealboard

Table Information