AI in Personalized Nutrition Market Driven by Health Tech Investments and Strategic Collaborations

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI in Personalized Nutrition Market- (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, Trends, Industry Competition Analysis, Revenue and Forecast To 2034."

AI in Personalized Nutrition Market Size was valued at USD 4.13 Bn in 2024 and is predicted to reach USD 20.98 Bn by 2034 at a 17.8% CAGR during the forecast period for 2025-2034.

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Artificial intelligence (AI) is revolutionizing the personalized nutrition sector by enabling the creation of individualized dietary recommendations that align with specific health objectives, nutritional requirements, and genetic profiles. The integration of AI with advanced data analytics serves as a major driver of market expansion, as AI-generated insights facilitate the formulation of highly customized nutrition plans tailored to each consumer's unique physiological and lifestyle characteristics.

A key factor contributing to this growth is the integration of genomic profiling into AI-driven nutritional solutions. By combining AI technologies with genetic testing, researchers and healthcare professionals can obtain a detailed understanding of genetic markers influencing nutrient absorption, metabolic efficiency, and predisposition to certain health conditions.

Utilizing this genomic intelligence, AI-powered platforms design evidence-based, personalized nutrition strategies that promote optimal health, enhance preventive care, and reduce the risk of genetically associated diseases.

List of Prominent Players in the AI in Personalized Nutrition Market:
• Nutrino Health Ltd.
• DayTwo Ltd.
• Lumen
• Nutrigenomix Inc.
• Viome
• Foodvisor
• Baze Labs
• GenoPalate
• Habit
• Nutraceutical Corporation
• Nutrafol
• Zoe
• Healbe
• FitGenie
• Level Foods Inc.
• Nutrunity
• NutriAI
• NutrinoTech
• AIMEE Health
• NutriMe
• PreBiomics
• NutrEval
• NutriAdmin
• Nutrissential
• NutriPredict
• Others

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Market Dynamics
Drivers:
The increasing emphasis on health, wellness, and preventive care is a major factor driving the growth of the AI-enabled personalized nutrition market. Artificial intelligence facilitates the creation of individualized dietary plans by analyzing vast and complex datasets that encompass genetic information, lifestyle habits, and nutritional behaviors. Continuous advancements in AI and machine learning technologies are improving the precision, scalability, and clinical relevance of personalized nutrition solutions.

Moreover, the rising prevalence of chronic diseases, obesity, and metabolic disorders is heightening demand for data-driven, customized dietary interventions. Market expansion is further supported by growing venture capital investments in digital health and nutrition startups, along with strategic partnerships between technology developers, healthcare providers, and nutrition specialists.

Challenges:
Despite its significant potential, the AI-driven personalized nutrition market faces several challenges. Data privacy and the protection of sensitive health and genetic information remain key concerns, necessitating strict compliance with regulatory standards. The validation and calibration of AI algorithms to ensure scientific accuracy and reliability in dietary recommendations require substantial resources and expertise.

Integrating AI systems into existing healthcare and nutrition infrastructures also presents interoperability challenges. Additionally, consumer trust poses a critical barrier, as reliance on algorithm-based insights over traditional expert consultation can generate skepticism. Varying regulatory frameworks across regions further complicate large-scale deployment and global market expansion.

Regional Trends:
North America continues to dominate the AI-based personalized nutrition market, driven by high consumer awareness of health optimization, a robust ecosystem of digital health innovation, and widespread adoption of advanced analytics and AI technologies. The region's well-established technological infrastructure and growing focus on preventive healthcare further reinforce market leadership.

Europe is also experiencing significant growth, supported by strong healthcare systems, active research initiatives, and increasing public engagement in wellness and nutrition. The growing integration of AI into nutritional planning and dietary management across European markets is enhancing both the accessibility and the efficacy of personalized nutrition solutions.

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Recent Developments:
• In 2022, DNAfit acquired Nutrigenomix, a company that provides personalized nutrition and lifestyle advice based on genetic testing.
probiotic supplement that is designed to improve gut health.

Segmentation of AI in Personalized Nutrition Market
AI in Personalized Nutrition Market- By Type
• Machine Learning
o Supervised Learning
o Unsupervised Learning
o Reinforcement Learning
• Deep Learning
o Convolutional Neural Networks (CNN)
o Recurrent Neural Networks (RNN)
o Generative Adversarial Networks (GAN)
o Transformers
• Natural Language Processing (NLP)
o Sentiment Analysis
o Language Translation
o Chatbots and Virtual Assistants
• Computer Vision
o Image Classification
o Object Detection
o Facial Recognition
o Video Analysis
AI in Personalized Nutrition Market- By Application
• Meal Planning and Recommendations
o Personalized Meal Plans
o Recipe Suggestions
o Dietary Restriction Considerations
• Nutrient Analysis
o Nutritional Deficiency Identification
o Dietary Recommendations
o Nutrient Optimization
• Personalized Supplementation
o Supplement Recommendations
o Dosage and Timing Suggestions
o Tracking and Monitoring
• Allergen and Sensitivity Detection
o Allergen Identification
o Alternative Ingredient Suggestions
o Personalized Dietary Restrictions
• Health Monitoring
o Biometric Data Analysis
o Real-time Health Feedback
o Behavioral Pattern Recognition
AI in Personalized Nutrition Market- By End User
• Individuals
o Personalized Nutrition Apps
o Smart Devices and Wearables
• Fitness and Wellness Centers
o Personal Trainers and Coaches
o Nutritionist Services
• Healthcare Providers
o Hospitals and Clinics
o Telehealth Platforms
• Food and Beverage Industry
o Food Manufacturers
o Restaurants and Food Services
AI in Personalized Nutrition Market- By Provider
• Startups and Small Companies
o Al-Powered Nutrition Startups
o Innovative Tech Solutions
• Established Tech Companies
o Technology Giants
o Al Platform Providers
• Healthcare and Wellness Organizations
o Hospitals and Medical Centers
o Wellness Clinics and Centers
AI in Personalized Nutrition Market- By Region
North America-
• The US
• Canada
• Mexico
Europe-
• Germany
• The UK
• France
• Italy
• Spain
• Rest of Europe
Asia-Pacific-
• China
• Japan
• India
• South Korea
• South East Asia
• Rest of Asia Pacific
Latin America-
• Brazil
• Argentina
• Rest of Latin America
Middle East & Africa-
• GCC Countries
• South Africa
• Rest of Middle East and Africa

Read Overview Report- https://www.insightaceanalytic.com/report/ai-in-personalized-nutrition-market/2691

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InsightAce Analytic is a market research and consulting firm that enables clients to make strategic decisions. Our qualitative and quantitative market intelligence solutions inform the need for market and competitive intelligence to expand businesses. We help clients gain competitive advantage by identifying untapped markets, exploring new and competing technologies, segmenting potential markets and repositioning products. Our expertise is in providing syndicated and custom market intelligence reports with an in-depth analysis with key market insights in a timely and cost-effective manner.

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This release was published on openPR.