The AI in Personalized Nutrition Market Size was valued at USD 3.56 Bn in 2023 and is predicted to reach USD 12.71 Bn by 2031 at a 17.6% CAGR during the forecast period for 2024-2031.
AI in personalized nutrition has emerged as a transformative force across various industries, revolutionizing how we perceive and utilize data. In nutrition, Al plays a pivotal role in shaping personalized approaches to cater to individual dietary needs, health goals, and genetic predispositions. One of the core elements propelling the growth of Al in personalized nutrition is its ability to leverage sophisticated segmentation strategies. Traditionally, nutrition recommendations were based on generalized guidelines, often overlooking individuals' unique physiological and genetic makeup. Al-driven segmentation now enables a granular understanding of each person's requirements, encompassing age, gender, lifestyle, medical history, allergies, and genetic data.
The integration of Al in personalized nutrition has witnessed exponential growth in recent years. With the escalating prevalence of chronic diseases, obesity, and lifestyle disorders, consumers are increasingly seeking tailored dietary solutions. The Al-driven personalized nutrition market has responded to this demand, offering easy-to-use mobile applications, wearable devices, and online platforms that provide users with personalized dietary insights.
Competitive Landscape
Some of the Major Key Players in the AI in Personalized Nutrition Market are
- 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 Segmentation:
AI in the personalized nutrition market is segmented by type, application, end-user, and provider. The market is segmented based on type as machine learning, deep learning, natural language processing (NLP), and computer vision. The market is segmented based on application into meal planning and recommendations, nutrient analysis, personalized supplementation, allergen and sensitivity detection, and health monitoring. Based on end-user, the market is segmented into individuals, fitness and wellness centers, healthcare providers, and food manufacturers. The market is segmented based on provider: startups and small companies, established tech companies, and healthcare and wellness organizations.
Based on Type, the Machine Learning Segment Accounts for a Major Contributor to AI in the Personalized Nutrition Market.
The machine learning segment is expected to hold a major share in the global AI in personalized nutrition market in 2023. To deliver tailored nutritional recommendations, machine learning algorithms analyze vast datasets, including dietary habits, genetic information, and health metrics. These algorithms continuously improve their accuracy by learning from new data and user feedback. As a result, they provide highly individualized diet plans that optimize health outcomes. The increasing adoption of wearable devices and health apps further drives this segment, as they supply valuable data that Machine Learning models use to refine their recommendations, enhancing their effectiveness in personalized nutrition.
Meal Planning and Recommendations Segment Witnessed Growth at a Rapid Rate.
AI systems analyze individual health data, dietary preferences, and genetic information to create customized meal plans that optimize nutritional intake and health outcomes. These solutions use algorithms to offer real-time dietary suggestions, adjust recommendations based on user feedback, and integrate with wearable devices for continuous monitoring. The market's growth is driven by increasing health consciousness, technological advancements, and rising demand for personalized wellness solutions. North America leads in market share, while Asia Pacific is experiencing rapid growth due to increasing health awareness and technology adoption.
In the Region, the North American AI in the Personalized Nutrition Market Holds a Significant Revenue Share.
The North American AI in the personalized nutrition market is expected to register the highest market share in terms of revenue in the near future. The region's advanced technological infrastructure, high healthcare expenditure, and increasing consumer demand for tailored nutrition solutions. The presence of major tech companies and startups focused on AI-driven health innovations further bolsters market growth. The region's strong emphasis on research and development, coupled with favorable regulatory environments, also supports the expansion of personalized nutrition solutions. Additionally, the rising awareness of health and wellness trends among North American consumers fuels the adoption of AI-powered dietary recommendations and personalized nutrition plans.
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.
AI in Personalized Nutrition Market Report Scope
|
Report Attribute |
Specifications |
|
Market Size Value In 2023 |
USD 3.56 Bn |
|
Revenue Forecast In 2031 |
USD 12.71 Bn |
|
Growth Rate CAGR |
CAGR of 17.6% from 2024 to 2031 |
|
Quantitative Units |
Representation of revenue in US$ Bn and CAGR from 2024 to 2031 |
|
Historic Year |
2019 to 2023 |
|
Forecast Year |
2024-2031 |
|
Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
|
Segments Covered |
By Type, Application, End-user, Provider |
|
Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
|
Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
|
Competitive Landscape |
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, and others |
|
Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
|
Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
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