← 產業報告目錄
AI in Personalized Nutrition Market Size, Share & Trends Analysis Report, By Type (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, etc.) By Application (Meal Planning and Recommendations, Nutrient Analysis, Personalized Supplementation, Allergen and Sensitivity Detection, Health Monitoring, etc.) By End User; By Provider, By Region, Forecasts, 2025-2034
出版商 InsightAce Analytic產業別 ICT & Media出版日期 2026-02-15頁數 170報告編號 INSIGHTACE-9cde2d6d32
授權報價
| Single User PDF | $4,500 USD |
| Global Site License PDF | $9,500 USD |
報告摘要
In 2024, the AI in Personalized Nutrition Market worldwide was assessed at USD 4.13 Bn. Analysts project it will accelerate to USD 20.98 Bn by 2034, at a CAGR of 17.8% spanning 2025 to 2034.
The AI in Personalized Nutrition sector involves ai in personalized nutrition has emerged as a transformative force across various industries, revolutionizing how we perceive and utilize data. This domain has witnessed marked transformation owing to technological breakthroughs and shifting technology and communications dynamics.
Market momentum is bolstered by mounting call for advanced solutions, favorable regulatory frameworks, and robust investment in research and development across major economies.
The market landscape is structured across several key segments—spanning type, application, distribution channel, and region—each contributing uniquely to overall market expansion.
Geographically, North America maintains a leading position owing to advanced infrastructure, high R&D expenditure, and a well-established regulatory environment. Meanwhile, Asia-Pacific is emerging as the fastest-growing region, bolstered by rapid industrialization and expanding end-user bases.
The competitive arena features a mix of established conglomerates and agile innovators, each vying for market position through strategic acquisitions, product launches, and capacity expansion.
The research provides an in-depth evaluation of market forces, competitive positioning, segmental dynamics, and regional trends, equipping stakeholders with actionable intelligence for the forecast period.
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence in Personalized Nutrition Market Snapshot
Chapter 4. Global Artificial Intelligence in Personalized Nutrition Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter's Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Type:
5.2.1. Machine Learning
5.2.1.1. Supervised Learning
5.2.1.2. Unsupervised Learning
5.2.1.3. Reinforcement Learning
5.2.2. Deep Learning
5.2.2.1. Convolutional Neural Networks (CNN)
5.2.2.2. Recurrent Neural Networks (RNN)
5.2.2.3. Generative Adversarial Networks (GAN)
5.2.2.4. Transformers
5.2.3. Natural Language Processing (NLP)
5.2.3.1. Sentiment Analysis
5.2.3.2. Language Translation
5.2.3.3. Chatbots and Virtual Assistants
5.2.4. Computer Vision
5.2.4.1. Image Classification
5.2.4.2. Object Detection
5.2.4.3. Facial Recognition
5.2.4.4. Video Analysis
Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
6.2.1. Meal Planning and Recommendations
6.2.1.1. Personalized Meal Plans
6.2.1.2. Recipe Suggestions
6.2.1.3. Dietary Restriction Considerations
6.2.2. Nutrient Analysis
6.2.2.1. Nutritional Deficiency Identification
6.2.2.2. Dietary Recommendations
6.2.2.3. Nutrient Optimization
6.2.3. Personalized Supplementation
6.2.3.1. Supplement Recommendations
6.2.3.2. Dosage and Timing Suggestions
6.2.3.3. Tracking and Monitoring
6.2.4. Allergen and Sensitivity Detection
6.2.4.1. Allergen Identification
6.2.4.2. Alternative Ingredient Suggestions
6.2.4.3. Personalized Dietary Restrictions
6.2.5. Health Monitoring
6.2.5.1. Biometric Data Analysis
6.2.5.2. Real-time Health Feedback
6.2.5.3. Behavioral Pattern Recognition
Chapter 7. Market Segmentation 3: By Provider Estimates & Trend Analysis
7.1. By Provider & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following By Provider:
7.2.1. Startups and Small Companies
7.2.1.1. AI-Powered Nutrition Startups
7.2.1.2. Innovative Tech Solutions
7.2.2. Established Tech Companies
7.2.2.1. Technology Giants
7.2.2.2. AI Platform Providers
7.2.3. Healthcare and Wellness Organizations
7.2.3.1. Hospitals and Medical Centers
7.2.3.2. Wellness Clinics and Centers
Chapter 8. Market Segmentation 4: by End User Estimates & Trend Analysis
8.1. By End User & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following By End User:
8.2.1. Individuals
8.2.1.1. Personalized Nutrition Apps
8.2.1.2. Smart Devices and Wearables
8.2.2. Fitness and Wellness Centers
8.2.2.1. Personal Trainers and Coaches
8.2.2.2. Nutritionist Services
8.2.3. Healthcare Providers
8.2.3.1. Hospitals and Clinics
8.2.3.2. Telehealth Platforms
8.2.4. Food and Beverage Industry
8.2.4.1. Food Manufacturers
8.2.4.2. Restaurants and Food Services
Chapter 9. Artificial Intelligence in Personalized Nutrition Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.1.2. North America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.1.3. North America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts By Provider, 2021-2034
9.1.4. North America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.1.5. North America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.2.2. Europe Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.3. Europe Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts By Provider, 2021-2034
9.2.4. Europe Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.2.5. Europe Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.3.2. Asia Pacific Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.3. Asia-Pacific Thermal Cyclers Asia-Pacific Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts By Provider, 2021-2034
9.3.4. Asia-Pacific Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.3.5. Asia Pacific Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.4. Latin America
9.4.1. Latin America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.4.2. Latin America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.3. Latin America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts By Provider, 2021-2034
9.4.4. Latin America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.4.5. Latin America Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Type, 2021-2034
9.5.2. Middle East & Africa Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.3. Middle East & Africa Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts By Provider, 2021-2034
9.5.4. Middle East & Africa Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
9.5.5. Middle East & Africa Artificial Intelligence in Personalized Nutrition Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Nutrino Health Ltd.
10.2.2. DayTwo Ltd.
10.2.3. Lumen
10.2.4. Nutrigenomix Inc.
10.2.5. Viome
10.2.6. Foodvisor
10.2.7. Baze Labs
10.2.8. GenoPalate
10.2.9. Habit
10.2.10. Nutraceutical Corporation
10.2.11. Nutrafol
10.2.12. Zoe
10.2.13. Healbe
10.2.14. FitGenie
10.2.15. Level Foods Inc.
10.2.16. Nutrunity
10.2.17. NutriAI
10.2.18. NutrinoTech
10.2.19. AIMEE Health
10.2.20. NutriMe
10.2.21. PreBiomics
10.2.22. NutrEval
10.2.23. NutriAdmin
10.2.24. Nutrissential
10.2.25. NutriPredict
10.2.26. Other Prominent Players
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