AI 활용 레시피 시장 예측(-2034년) : 구성 요소, 도입 형태, 기술 유형, 솔루션 유형, 입력 유형, 기업 규모, 용도, 최종사용자 및 지역별 세계 분석

According to Stratistics MRC, the Global AI-Powered Recipe Market is accounted for $1.7 billion in 2026 and is expected to reach $8.4 billion by 2034 growing at a CAGR of 21.6% during the forecast period. AI-powered recipe platforms utilize artificial intelligence algorithms to generate, personalize, and optimize recipes based on user preferences, dietary restrictions, available ingredients, and nutritional goals. These intelligent systems leverage machine learning, natural language processing, and computer vision to transform how individuals and businesses approach cooking, meal planning, and food discovery. The market encompasses solutions ranging from consumer-facing apps and smart kitchen integrations to enterprise platforms serving food delivery services, hospitality establishments, and retail grocery chains.

Market Dynamics:

Driver:

Rising prevalence of dietary restrictions and health consciousness

Consumers increasingly seek personalized nutrition guidance to manage conditions such as diabetes, food allergies, celiac disease, and weight management goals. Traditional recipe resources often fail to accommodate the complexity of individual dietary needs, creating a gap that AI-powered platforms fill by dynamically filtering and modifying recipes. These systems learn user preferences over time, suggesting alternatives for restricted ingredients while maintaining flavor profiles and nutritional balance. The growing adoption of specialized eating patterns, including keto, vegan, and plant-based diets, further amplifies demand for intelligent recipe solutions that can adapt to evolving nutritional requirements without sacrificing variety or convenience.

Restraint:

Concerns over data privacy and algorithmic accuracy

User hesitation around sharing personal health data, dietary habits, and kitchen behaviors poses a barrier to widespread adoption of AI recipe platforms. These applications often require access to sensitive information including medical conditions, biometric data from connected devices, and detailed consumption patterns to deliver meaningful personalization. Instances of inaccurate recipe recommendations such as failing to detect a hidden allergen or miscalculating nutritional values can lead to serious health consequences, eroding trust in the technology. Strict data protection regulations across regions also create compliance burdens for developers, increasing operational costs and slowing market entry for new players.

Opportunity:

Integration with smart kitchen appliances and IoT ecosystems

Connected kitchen devices, including smart ovens, refrigerators, and cooking assistants, present a significant growth avenue for AI-powered recipe platforms. When integrated, these systems can synchronize cooking instructions with appliance settings, automatically adjusting temperatures and timers based on the specific recipe. Smart refrigerators can inventory ingredients, notify users of expiring items, and suggest recipes that utilize available foods, reducing waste. As the Internet of Things ecosystem expands within households, seamless interoperability between recipe platforms and kitchen hardware creates compelling value propositions, converting casual users into engaged customers who rely on integrated culinary intelligence for daily meal preparation.

Threat:

Intense competition from free recipe content and established platforms

The abundance of free, high-quality recipe content available through social media, food blogs, and video platforms creates significant competitive pressure on paid AI-powered solutions. Established websites and mobile applications have built extensive libraries of user-generated recipes with sophisticated search and filtering capabilities, often offering similar personalization without subscription fees. These platforms benefit from years of community engagement, user trust, and content volume that new entrants find difficult to replicate. Furthermore, large technology companies are entering the space with integrated solutions bundled into existing ecosystems, potentially commoditizing AI recipe functionality and eroding margins for standalone providers.

Covid-19 Impact:

The pandemic profoundly accelerated adoption of AI-powered recipe solutions as lockdowns forced consumers to cook more frequently at home while navigating ingredient shortages and supply chain disruptions. Home cooks turned to digital platforms for creative ways to use available pantry items, with AI tools proving particularly valuable for substituting missing ingredients while maintaining recipe integrity. The surge in health awareness during the pandemic also heightened interest in personalized nutrition and immune-supporting meals. This behavioral shift has proven durable, with many consumers retaining the habit of using digital recipe assistants even after dining restrictions eased, permanently expanding the market's user base.

The Large Enterprises segment is expected to be the largest during the forecast period

The Large Enterprises segment is expected to account for the largest market share during the forecast period, driven by substantial investments in AI infrastructure and enterprise-wide digital transformation initiatives. Major food delivery platforms, hospitality chains, and retail grocery corporations deploy AI recipe technology at scale to enhance customer engagement, streamline operations, and differentiate their offerings in competitive markets. These organizations possess the capital resources necessary for custom implementations, integration with existing systems, and ongoing technical support. The ability of large enterprises to leverage AI recipe solutions across multiple brands, regions, and consumer touchpoints ensures their continued dominance throughout the forecast timeline.

The Personalized Diet Planning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Personalized Diet Planning segment is predicted to witness the highest growth rate, reflecting the convergence of consumer demand for individualized nutrition with advancements in AI's ability to process complex dietary data. These applications go beyond simple recipe suggestions, incorporating genetic information, microbiome analysis, real-time glucose monitoring, and lifestyle factors to generate hyper-personalized meal plans. The rising prevalence of chronic conditions linked to diet, such as obesity and metabolic syndrome, drives both consumer and healthcare interest in precision nutrition solutions. As wearable health devices proliferate and users become accustomed to continuous biometric feedback, personalized diet planning platforms are positioned for exceptional expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by high smartphone penetration, strong consumer spending on health and wellness, and early adoption of connected kitchen technologies. The region hosts a concentration of leading AI technology firms, food delivery platforms, and retail innovators that are actively integrating recipe intelligence into their service offerings. Cultural diversity across the United States and Canada creates demand for sophisticated recipe personalization capable of accommodating varied culinary traditions and dietary practices. Robust venture capital investment in food-tech startups further accelerates innovation, ensuring North America maintains its market leadership throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid digitalization, expanding middle-class populations, and the deep cultural significance of culinary diversity across the region. Countries including China, India, Japan, and South Korea are witnessing surging adoption of mobile-first AI applications, with consumers increasingly turning to technology for cooking guidance and dietary management. The region's high prevalence of specific dietary requirements, including lactose intolerance and diverse religious dietary practices, creates strong demand for personalized recipe solutions. Government initiatives promoting digital health and the proliferation of regional food delivery platforms further accelerate market expansion throughout Asia Pacific.

Key players in the market

Some of the key players in AI-Powered Recipe Market include IBM, Google, Microsoft, Amazon, Samsung Electronics, Whirlpool Corporation, SideChef Group, Innit, Plant Jammer, DishGen, Chef Watson, Yummly, Cookpad, Tasty, and Blue Apron.

Key Developments:

In March 2026, IBM announced the expansion of its watsonx orchestration platform to include advanced agentic AI capabilities. While the original "Chef Watson" project has been absorbed into the broader IBM Watson research legacy, the new watsonx.governance and Orchestrate tools are being used by enterprise food clients to manage supply chains and "agentic" recipe development workflows.

In February 2026, At KBIS 2026, Samsung debuted the Bespoke AI 3-Door French Door Refrigerator. It's "AI Vision Inside" feature can now identify 33 different fresh food items and automatically suggest recipes via the 9-inch AI Home Display before the items expire.

In May 2025, Microsoft launched new "Kitchen Copilot" templates for developers on Azure. This enables recipe platforms (like SideChef) to use Microsoft's multimodal models to convert cooking videos into structured, shoppable step-by-step guides automatically.

Components Covered:

• Hardware
• Services

Deployment Modes Covered:

• Cloud-Based
• On-Premise
• Hybrid

Technology Types Covered:

• Machine Learning-Based Systems
• Natural Language Processing-Based Systems
• Computer Vision-Based Systems
• Generative AI Models
• Voice AI & Conversational Systems

Solution Types Covered:

• AI-Based Meal Planning
• Real-Time Recipe Suggestions
• Ingredient Substitution Systems
• Smart Cooking Assistants
• Personalized Recipe Optimization

Input Types Covered:

• Text-Based Recipe Generators
• Image-Based Recipe Generators
• Video-Based Recipe Generators
• Voice-Enabled Recipe Systems

Enterprise Sizes Covered:

• Large Enterprises
• Small & Medium Enterprises

Applications Covered:

• Personalized Diet Planning
• Smart Kitchens
• Food Delivery Platforms
• Health & Wellness Apps
• Hospitality & Restaurants
• Retail & Grocery Platforms

End Users Covered:

• Individual Consumers
• Restaurants & Food Service Providers
• Food Manufacturers
• Nutritionists & Dieticians
• Retail & E-commerce Platforms
• Content Creators & Food Bloggers

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global AI-Powered Recipe Market, By Component

• 5.1 Software
  • 5.1.1 Recipe Generation Platforms
  • 5.1.2 Nutrition Analysis Software
  • 5.1.3 Meal Planning Engines
• 5.2 Services
  • 5.2.1 Integration & Deployment
  • 5.2.2 Consulting
  • 5.2.3 Support & Maintenance

6 Global AI-Powered Recipe Market, By Deployment Mode

• 6.1 Cloud-Based
• 6.2 On-Premise
• 6.3 Hybrid

7 Global AI-Powered Recipe Market, By Technology Type

• 7.1 Machine Learning-Based Systems
• 7.2 Natural Language Processing-Based Systems
• 7.3 Computer Vision-Based Systems
• 7.4 Generative AI Models
• 7.5 Voice AI & Conversational Systems

8 Global AI-Powered Recipe Market, By Solution Type

• 8.1 AI-Based Meal Planning
• 8.2 Real-Time Recipe Suggestions
• 8.3 Ingredient Substitution Systems
• 8.4 Smart Cooking Assistants
• 8.5 Personalized Recipe Optimization

9 Global AI-Powered Recipe Market, By Input Type

• 9.1 Text-Based Recipe Generators
• 9.2 Image-Based Recipe Generators
• 9.3 Video-Based Recipe Generators
• 9.4 Voice-Enabled Recipe Systems

10 Global AI-Powered Recipe Market, By Enterprise Size

• 10.1 Large Enterprises
• 10.2 Small & Medium Enterprises

11 Global AI-Powered Recipe Market, By Application

• 11.1 Personalized Diet Planning
• 11.2 Smart Kitchens
• 11.3 Food Delivery Platforms
• 11.4 Health & Wellness Apps
• 11.5 Hospitality & Restaurants
• 11.6 Retail & Grocery Platforms

12 Global AI-Powered Recipe Market, By End User

• 12.1 Individual Consumers
• 12.2 Restaurants & Food Service Providers
• 12.3 Food Manufacturers
• 12.4 Nutritionists & Dieticians
• 12.5 Retail & E-commerce Platforms
• 12.6 Content Creators & Food Bloggers

13 Global AI-Powered Recipe Market, By Geography

• 13.1 North America
  • 13.1.1 United States
  • 13.1.2 Canada
  • 13.1.3 Mexico
• 13.2 Europe
  • 13.2.1 United Kingdom
  • 13.2.2 Germany
  • 13.2.3 France
  • 13.2.4 Italy
  • 13.2.5 Spain
  • 13.2.6 Netherlands
  • 13.2.7 Belgium
  • 13.2.8 Sweden
  • 13.2.9 Switzerland
  • 13.2.10 Poland
  • 13.2.11 Rest of Europe
• 13.3 Asia Pacific
  • 13.3.1 China
  • 13.3.2 Japan
  • 13.3.3 India
  • 13.3.4 South Korea
  • 13.3.5 Australia
  • 13.3.6 Indonesia
  • 13.3.7 Thailand
  • 13.3.8 Malaysia
  • 13.3.9 Singapore
  • 13.3.10 Vietnam
  • 13.3.11 Rest of Asia Pacific
• 13.4 South America
  • 13.4.1 Brazil
  • 13.4.2 Argentina
  • 13.4.3 Colombia
  • 13.4.4 Chile
  • 13.4.5 Peru
  • 13.4.6 Rest of South America
• 13.5 Rest of the World (RoW)
  • 13.5.1 Middle East
    • 13.5.1.1 Saudi Arabia
    • 13.5.1.2 United Arab Emirates
    • 13.5.1.3 Qatar
    • 13.5.1.4 Israel
    • 13.5.1.5 Rest of Middle East
  • 13.5.2 Africa
    • 13.5.2.1 South Africa
    • 13.5.2.2 Egypt
    • 13.5.2.3 Morocco
    • 13.5.2.4 Rest of Africa

14 Strategic Market Intelligence

• 14.1 Industry Value Network and Supply Chain Assessment
• 14.2 White-Space and Opportunity Mapping
• 14.3 Product Evolution and Market Life Cycle Analysis
• 14.4 Channel, Distributor, and Go-to-Market Assessment

15 Industry Developments and Strategic Initiatives

• 15.1 Mergers and Acquisitions
• 15.2 Partnerships, Alliances, and Joint Ventures
• 15.3 New Product Launches and Certifications
• 15.4 Capacity Expansion and Investments
• 15.5 Other Strategic Initiatives

16 Company Profiles

• 16.1 IBM
• 16.2 Google
• 16.3 Microsoft
• 16.4 Amazon
• 16.5 Samsung Electronics
• 16.6 Whirlpool Corporation
• 16.7 SideChef Group
• 16.8 Innit
• 16.9 Plant Jammer
• 16.10 DishGen
• 16.11 Chef Watson
• 16.12 Yummly
• 16.13 Cookpad
• 16.14 Tasty
• 16.15 Blue Apron