AI in Personalized Nutrition Driving Growth with Rising Consumer Demand for Tailored Health Solutions Based on Genetic Insights

AI in Personalized Nutrition Driving Growth with Rising Consumer Demand for Tailored Health Solutions Based on Genetic Insights

Insightace Analytic Pvt Ltd.

Market Assessment Report on the Global AI in Personalized Nutrition Market

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 2031."

According to the latest research by InsightAce Analytic, the Global AI in Personalized Nutrition Market is valued at US$ 3.56 Bn in 2023, and it is expected to reach US$ 12.71 Bn by 2031, with a CAGR of 17.6% during the forecast period of 2024-2031.

AI is transforming the field of personalized nutrition by enabling tailored dietary solutions that align with individual health goals, nutritional needs, and genetic predispositions. The integration of artificial intelligence with advanced data analytics has significantly contributed to the rapid expansion of this market, where AI-driven insights facilitate customized nutritional recommendations for consumers.

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

Market Dynamics

Drivers: The increasing consumer focus on health and wellness is a primary factor driving the demand for personalized nutrition solutions. AI's ability to analyze vast amounts of data-including genetic profiles, lifestyle choices, and dietary patterns-enables the development of highly customized nutrition plans. Continuous advancements in AI and machine learning are enhancing the precision and efficiency of these recommendations. Additionally, the rising prevalence of chronic diseases and obesity is prompting greater interest in personalized dietary strategies. Increased investments in health technology startups, along with strategic collaborations between technology firms and nutrition experts, are further accelerating market growth.

Challenges: One of the primary challenges in the AI-driven personalized nutrition market is ensuring data privacy and security, as these solutions rely on sensitive health information that must be protected against breaches and unauthorized access. The accuracy and reliability of AI algorithms also require ongoing validation to ensure that dietary recommendations are both safe and effective. Moreover, integrating AI-based solutions into existing healthcare and nutrition frameworks presents challenges due to interoperability issues. Consumer trust remains a key hurdle, as individuals may be hesitant to rely on AI-generated dietary advice over traditional expert guidance. Additionally, navigating the complex and regionally diverse regulatory landscape poses challenges for the widespread adoption of AI-driven personalized nutrition solutions.

Regional Trends

North America: North America is expected to dominate the AI-driven personalized nutrition market in terms of revenue, with strong growth anticipated in the coming years. This expansion is driven by increasing consumer demand for personalized health solutions, rapid advancements in AI technology, and heightened awareness of the benefits of customized nutrition plans. The region's well-established technological infrastructure further supports market development.

Europe: In Europe, the market holds a substantial share due to a well-developed healthcare system and increasing demand for personalized nutrition. Strong research and development initiatives, coupled with a growing emphasis on health and wellness, are further driving adoption. European countries are increasingly utilizing AI to enhance nutritional planning, making personalized nutrition more effective and accessible across diverse populations.

Segmentation of AI in Personalized Nutrition Market

AI in Personalized Nutrition Market- By Type

• Machine Learning
• Deep Learning
• Natural Language Processing
• Computer Vision

AI in Personalized Nutrition Market- By Application

• Meal Planning and Recommendations
• Nutrient Analysis
• Personalized Supplementation
• Allergen and Sensitivity Detection
• Health Monitoring

AI in Personalized Nutrition Market- By End User

• Individuals
• Fitness and Wellness Centers
• Healthcare Providers
• Food and Beverage Industry

AI in Personalized Nutrition Market- By Provider

• Startups and Small Companies
• Established Tech Companies
• Healthcare and Wellness Organizations

About Us

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.

Contact us: InsightAce Analytic Pvt. Ltd.

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This release was published on openPR.