The rising trends for consumerism and the impact it has on human health are driving the novel trends for analysis of the dietary needs of individuals. Keeping in mind the data set parameters based on genetic profiles, serum biomarker analysis, physical activities, age, dietary habits, etc. have been generated to recommend a personalized diet. In this report, we have identified various industry players (both big players and start-ups), key innovations and application areas which will be key for driving future growth in technology innovation and market potential of novel products in personalized nutrition. An increase in the global prevalence of malnutrition, poor health, and lifestyle disorders are driving factors for personalized nutrition with CAGR of 9.3%.
Novel Technologies can Drive Personalized Nutrition Market to USD 11.35 Billion By 2026.
Among the major industry players NESTEC, IBM, MIDEA, GOOD MEASUES are key players that focuses on various innovations. NESTEC is a leader among others focused on developing tailored food and nutritional formulations based on various nutritional health score determination systems taking inconsideration serum biomarkers, age, sex, height, gender, BMI and medical condition.
On the basis of convenience of use and quick monitoring of all based tools, wearable devices and biosensors will be driving the growth of various players in this domain. Substantial marketed products are being produced and provided by startup companies in this domain including 23andMe, Bulu Box, DayTwo and FitGenie. The introduction of artificial intelligence-based algorithms to better track health data on a routine basis is also increasingly changing the various aspects of customized nutrition.
Previously, personalized nutrition research was focused on the integration of genetic data, but today various other parameters that give a more comprehensive outcome of the dietary behavior of the individual are also reliable. Although a digitalized DNA-based diet is expected to grow at the CAGR 9.7% during the forecast period, various advancements in metabolic profiling tools have enabled the investigation of nutrition requirements of an individual which subsequently drives the growth of personalized nutrition.
The personalized diet is as good as personalized medicines for reducing the risk of various diseases like Obesity, diabetes, cardiovascular diseases (CVDs), nutritional deficiencies, rheumatoid arthritis, cancer, etc. It may help in curbing the high food intake which contributes to obesity and weight gain. The potential market for personalized nutrition is huge as it applies to both diseased and healthy people, eating is a daily and essential habit, therefore opportunities for personalization are continuous to enhance or maintain health.
3.1 Today’s Consumer and its demands/needs
3.2 Need and benefits of personalized nutrition
4.1 Definition of Personalized Nutrition
4.3 Market potential and likely impact
6.1 Genome Profile
6.2 Serum Biomarker
6.3 Gut Microbiome Diversity
6.4 Body Metrics
6.5 Lifestyle Factor
7.1 Healthier, fitter, active lifestyle
7.2 Chronic disease management
7.3 Disease prevention
7.4 Promote general Wellbeing (physical, social, mental)
8.1 Dietary Supplements and Nutraceutical
8.2 Functional Food
8.2.1 Fortified Dairy Products
8.2.3 Dietary Fibers
8.2.4 Fatty Acids
8.2.6 Prebiotics & Probiotics
8.3 Functional Beverages
8.3.1 Sports and Performance Drinks
8.3.2 Smart Drinks
9.1 Physical Fitness
9.2 Chronic Diseases
9.3 Lifestyle Abnormalities
9.4 Metabolic Disorders
9.5 Sports Nutrition
10.1 Leaders/incumbents (Big Players)
10.1.2 Royal DSM
10.2 New entrants/disruptors (Start-Ups)
10.2.2 Day Two Inc.
10.2.3 Drawbridge Health
10.2.5 Food Gene &Me
10.2.6 Mixfit Inc.
10.3 Emerging (researchers/ academia/players at concept stage)
10.3.1 Eurogenetica Ltd
10.3.2 Molecular You Corp
10.3.3 3UP PLUS
10.3.4 Amazing Food Solution Inc
10.3.5 Atlas Biomed Group Ltd
10.3.6 Bender Tech LLC
10.3.7 University of Monash
10.3.8 University of Tufts
10.3.9 Weizmann Institute of Science
10.3.10 O2 FOOTPRINT
12.1 Potential challenges and possible solutions
12.2 Technology readiness level snapshot
12.3 Technology adoption curve
12.4 Emerging business models and how it could play
12.5 Key concepts/ technologies/ players to look for