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AI-Driven Personalized Nutrition and Wellness Solutions Market By AI Technology (Machine Learning & Deep Learning, Natural Language Processing [NLP], Computer Vision); By Nutrition Type (Personalized Diet Plans, Functional Foods & Supplements); By Application (Personalized Meal Planning & Recommendations, Nutrient Analysis, Personalized Supplementation, Allergen and Sensitivity Detection, Others); By End User (Individuals & Consumers, Fitness and Wellness Centers, Healthcare Providers, Food Manufacturers) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

Name: AI-Driven Personalized Nutrition and Wellness Solutions Market - Demand, Size and Competitive Analysis
Creator: Credence Research Inc.
Published: 2025-11-25
License: https://www.credenceresearch.com/info/privacy-policy
Keywords: AI-Driven Personalized Nutrition and Wellness Solutions Market

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Market Overview:

The Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 1,501.16 million in 2018 to USD 4,572.67 million in 2024 and is anticipated to reach USD 17,867.16 million by 2032, at a CAGR of 17.32% during the forecast period.

REPORT ATTRIBUTE	DETAILS
Historical Period	2020-2023
Base Year	2024
Forecast Period	2025-2032
AI-Driven Personalized Nutrition and Wellness Solutions Market Size 2024	USD 4,572.67 Million
AI-Driven Personalized Nutrition and Wellness Solutions Market, CAGR	17.32%
AI-Driven Personalized Nutrition and Wellness Solutions Market Size 2032	USD 17,867.16 Million

The market grows due to rising awareness of tailored diet planning supported by continuous health data. Users prefer systems that adjust recommendations based on sleep, activity, and metabolic cues. AI engines help refine nutrient insights with stronger accuracy across daily routines. Demand expands across younger populations seeking structured wellness support. Healthcare adoption improves platform credibility for chronic condition management. Corporates also add personalized wellness tools for employee programs. The shift toward preventive choices strengthen user engagement. Growth increases with broader acceptance of self-care technologies.

North America leads due to higher adoption of digital wellness tools and stronger industry integration. Europe follows with interest in structured nutrition programs supported by regulatory clarity. Asia Pacific grows fastest with mobile-first platforms and rising fitness awareness across urban regions. Latin America shows steady growth driven by expanding wellness ecosystems. The Middle East gains traction through preventive health initiatives in major economies. Africa remains in the early phase but sees rising engagement through mobile health access. Each region advances at a different pace based on digital readiness and wellness behavior.

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Market Insights:

The market grew from USD 1,501.16 million in 2018 to USD 4,572.67 million in 2024, and is projected to reach USD 17,867.16 million by 2032, expanding at a 32% CAGR driven by rising adoption of AI-enabled nutrition guidance.
North America (42.8%), Europe (27.5%), and Asia Pacific (21.0%) dominated the 2024 share due to strong digital health ecosystems, structured nutrition programs, and widespread mobile-first wellness adoption.
Asia Pacific is the fastest-growing region with a 2024 share of 0%, supported by rapid tech penetration, growing fitness awareness, and high engagement from younger urban users.
Machine Learning & Deep Learning held the largest AI technology share (~45%), supported by strong predictive modeling and integration across wellness platforms.
Personalized Meal Planning & Recommendations accounted for the largest application share (~40%), driven by high daily usage and strong engagement through wearables and digital health apps.

Market Drivers

Rising Preference for Precise and Adaptive Nutrition Intelligence

Growing interest in tailored diet plans strengthens adoption across multiple user groups. Many individuals trust AI tools that refine daily choices with real-time data. Digital platforms use biomarkers and genetic inputs to craft accurate guidance. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market gains traction from higher wellness awareness. Wearables support these tools with continuous insights on body responses. Healthcare teams use AI screening to support preventive plans. Corporates include personalized plans in wellness programs. Fitness platforms integrate adaptive nutrition modules to improve overall outcomes.

Growing Integration of Medical-Grade Data into Consumer Wellness Tools

Higher access to diagnostic tests pushes demand for smarter nutrition engines. Platforms use blood panels, microbiome data, and metabolic scores to enhance precision. AI systems link early indicators with diet suggestions that support long-term goals. Clinical institutions explore these tools to guide lifestyle interventions. The ecosystem gains support from rising interest in predictive health tracking. Users prefer systems that connect lab results with everyday food choices. It encourages consistent use across care journeys. Strong interest in clinically backed insights drives wider market appeal.

For instance, DayTwo uses metagenomic sequencing of the gut microbiome with AI models to predict individualized blood glucose responses. Peer-reviewed research linked to its methodology has shown improved glycemic control and reduced post-meal glucose spikes in individuals with prediabetes and type 2 diabetes. This demonstrates the clinical potential of microbiome-based personalized nutrition.

Expansion of Connected Devices That Improve Data Accuracy and Personalization

Increasing use of wearables, home sensors, and health apps fuels system accuracy. Continuous tracking helps platforms understand user behavior patterns. Many buyers value plans adjusted to sleep, heart rate, and activity changes. AI models process these inputs to deliver reliable guidance. The integration improves engagement across fitness, nutrition, and wellness routines. It builds trust among users seeking measurable progress. The model supports preventive goals for many consumers. Demand grows when connected ecosystems show visible lifestyle improvements.

For instance, Suggestic provides an AI-driven personalized nutrition platform that integrates clinical lab data with wearable-derived metrics such as activity levels and heart rate. The system uses these inputs to tailor meal recommendations and deliver adaptive nutrition guidance through its mobile interface. Its platform leverages continuous data syncing to enhance user adherence and personalization depth.

Rising Adoption of Preventive Wellness Programs Across Industries

Workplace wellness programs boost use across corporate environments. Many employers offer personalized diet tools to improve workforce health. Insurance groups explore AI-based plans to support preventive care. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market sees growth from rising self-care habits. Consumers choose structured plans that reduce lifestyle risks. Gyms integrate nutrition modules to support training routines. Universities adopt tailored platforms to support student well-being. Wider acceptance drives consistent platform engagement.

Market Trends

Growing Use of Large Language Models for Deeper Nutritional Insights

AI platforms integrate advanced models to improve guidance quality. These systems analyze food logs with higher accuracy and context. Many users trust recommendations shaped by broader behavior patterns. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market benefits from improved analytical depth. Platforms link emotional states with eating habits to refine coaching. Chat-based engines expand accessibility for new users. Several brands add multilingual support to expand reach. Tools evolve with smarter conversational layers for personalized interaction.

Rising Adoption of Predictive Nutrition Forecasting Technologies

AI systems now predict nutrient needs based on lifestyle patterns. Platforms examine long-term signals to prevent potential deficiencies. Many buyers appreciate alerts that guide them before health issues grow. Predictive engines support steady engagement across wellness ecosystems. Brands use these tools to enhance retention among active users. Developers improve forecasting models with expanding datasets. It increases trust among consumers who seek future-oriented planning. Strong interest drives upgrades across nutrition software providers.

For instance, a 2023 JAMA Network Open study reported that AI chatbots estimated energy and macronutrients for 222 food items with about 46–48% of outputs falling within ±10% and roughly 59–62% within ±20% of dietitian-verified values. This shows that AI can deliver moderately accurate nutrient assessments based on food descriptions.

Increasing Shift Toward Food-as-Medicine Personalization Models

Healthcare groups explore diet-centered interventions for chronic conditions. AI tools compare medical records with dietary frameworks to guide choices. Many users value structured food patterns backed by clinical evidence. New platforms add condition-specific modules for tailored planning. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market gains momentum as wellness merges with clinical oversight. Providers use AI engines to shape recovery-focused diet plans. Several companies partner with clinics for integrated programs. The trend improves cross-sector collaboration.

Expanding Role of AI in Grocery, Meal Planning, and Real-Time Food Scanning

More users adopt AI tools that scan foods for nutrient insights. Grocery apps use algorithms to match purchases with health goals. Meal planners use real-time data to shape weekly menus. Retailers include AI suggestions to support healthier choices. This trend improves daily decision-making for busy users. It boosts platform engagement across diverse age groups. Brands experiment with image-based analysis for better accuracy. The shift enhances ecosystem usability and satisfaction.

For instance, the EgoDiet:3DNet system uses AI-enabled wearable cameras to estimate food volume during meals with a Mean Absolute Error of 71.7 cm³, comparable to sensor-based methods, enhancing real-time dietary assessments and user engagement.

Market Challenges Analysis

High Data Privacy Risks and Limited Trust in Sensitive Health Analytics

Concerns around data misuse influence user adoption rates. Many platforms process genetic, metabolic, and lifestyle data, which requires strict safeguards. Some users hesitate due to unclear data control policies. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market faces trust gaps when security standards fall short. Firms need transparent systems that explain how information flows. Weak privacy protocols reduce long-term engagement. Many regulators enforce tighter frameworks to manage these risks. Companies must adopt robust encryption to retain consumer confidence.

Complex Integration Between Consumer Apps, Medical Systems, and Wearable Devices

Data fragmentation reduces the accuracy of personalized insights. Many platforms struggle to merge medical data with consumer-grade inputs. Limited interoperability slows development of unified nutrition engines. Some providers face challenges aligning device algorithms with clinical standards. It restricts platform scalability across different regions. Users expect seamless syncing that supports real-time decisions. Technical barriers delay advanced product upgrades. Better standardization is required to support long-term growth.

Market Opportunities

Growing Use of Precision Biomarker Analytics to Enhance Personalization Depth

Rapid advances in biomarker testing create new market space. AI models connect these signals with tailored meal guidance. Many consumers seek deeper insight into digestive, metabolic, and hormonal patterns. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market benefits from personalized dashboards that improve user understanding. Startups explore new test kits that improve accessibility. Clinics integrate these systems to enrich patient programs. Better insight leads to higher product adoption. The opportunity expands with rising health awareness.

Expansion of Cross-Industry Partnerships That Widen Digital Wellness Deployment

Tech firms, food brands, and healthcare groups collaborate to broaden reach. These alliances enable multi-channel growth for AI-based wellness tools. Many employers look for scalable solutions to support workforce needs. Insurance groups explore partnerships to enrich preventive care portfolios. Retailers adopt nutrition engines to shape healthier purchase behavior. Gyms and sports centers integrate personalized diet plans into training modules. Cross-sector support drives faster innovation. The opportunity expands with heightened interest in digital well-being.

Market Segmentation Analysis:

By AI Technology

Machine learning and deep learning lead the AI technology landscape with strong adoption across consumer and clinical platforms. These models enhance predictive accuracy and improve nutrient recommendations through continuous data inputs. NLP supports conversational interfaces that guide users with real-time insights. Computer vision expands use in food scanning, portion estimation, and meal identification. The segment structure improves engagement across digital ecosystems. The Global AI-Driven Personalized Nutrition and Wellness Solutions Market gains stability through these technologies. It benefits from steady advancements that refine personalized guidance. Each technology segment supports different levels of precision and user interaction.

By Nutrition type

Personalized diet plans dominate the nutrition type segment due to high demand for structured guidance. These plans adapt to lifestyle patterns and health targets with strong accuracy. Functional foods and supplements grow as users prefer ingredient-specific optimization supported by AI. This segment supports tailored nutrient delivery for fitness, wellness, and clinical needs. Buyers choose solutions that align with metabolic responses. Platforms refine intake recommendations based on biomarker insights. The nutrition type structure strengthens market expansion across diverse user groups. It creates clear pathways for product innovation.

For instance, DayTwo leverages AI to predict individual glycemic responses to foods by analyzing gut microbiome data, achieving prediction accuracy of approximately 82% based on clinical validation studies.

By Application

Personalized meal planning and recommendations remain the most used application due to daily relevance. Nutrient analysis broadens adoption among users seeking deeper dietary transparency. Personalized supplementation grows through interest in targeted wellness needs. Allergen and sensitivity detection supports individuals managing food-related risks. The other category includes emerging tools linked to diagnostics and metabolic scoring. These applications improve user experience across long-term routines. Many platforms refine insights through continuous inputs from wearables. The segment ensures comprehensive coverage across wellness needs.

By End User

Individuals and consumers form the largest end-user group with strong digital adoption. Fitness and wellness centers integrate AI systems to enhance training and coaching sessions. Healthcare providers use personalized plans to support preventive care programs. Food manufacturers apply insights to shape targeted product lines. Each group contributes unique growth momentum across digital and clinical channels. Many users prefer platforms that adapt to changing needs. The structure supports diversified market penetration across global regions. It strengthens long-term engagement across all end-user categories.

For instance, Cleveland Clinic uses digital health platforms and clinical analytics to support nutrition and lifestyle interventions for chronic disease management, and its Center for Personalized Healthcare integrates genomic data into patient care to guide individualized wellness plans.

Segmentation:

By AI Technology

Machine Learning & Deep Learning
Natural Language Processing (NLP)
Computer Vision

By Nutrition Type

Personalized Diet Plans
Functional Foods & Supplements

By Application

Personalized Meal Planning & Recommendations
Nutrient Analysis
Personalized Supplementation
Allergen and Sensitivity Detection
Others

By End User

Individuals & Consumers
Fitness and Wellness Centers
Healthcare Providers
Food Manufacturers

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- France
- U.K.
- 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 the Middle East and Africa

Regional Analysis:

North America

The North America Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 649.02 million in 2018 to USD 1,956.24 million in 2024 and is anticipated to reach USD 7,665.20 million by 2032, at a CAGR of 17.4% during the forecast period. North America holds a 42.8% market share in 2024.
North America leads the Global AI-Driven Personalized Nutrition and Wellness Solutions Market due to strong adoption of digital wellness platforms. High consumer spending on preventive health supports rapid expansion across lifestyle apps. Many hospitals integrate AI-driven nutrition programs into routine care. Fitness centers upgrade wellness systems with personalized dietary tracking. User engagement grows with support from wearables that offer continuous metabolic data. Regulations encourage transparency across digital nutrition tools. It gains strength from advanced cloud infrastructure across major cities. Overall growth remains steady across all user categories.

Europe

The Europe Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 428.18 million in 2018 to USD 1,257.52 million in 2024 and is anticipated to reach USD 4,627.71 million by 2032, at a CAGR of 16.4% during the forecast period. Europe holds a 27.5% market share in 2024.
Europe maintains strong traction driven by rising interest in structured diet management. Wellness programs expand across gyms and nutrition clinics with AI-enabled support. Many consumers prefer personalized plans aligned with clean-label food trends. Healthcare systems adopt AI nutrition modules to improve long-term patient outcomes. Regulatory frameworks encourage safe use of health data, which increases trust. It benefits from strong digitalization across Western Europe. Startups develop diagnostic-backed nutrition tools for specific health needs. Growth remains steady across both individual and institutional users.

Asia Pacific

The Asia Pacific Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 291.58 million in 2018 to USD 961.95 million in 2024 and is anticipated to reach USD 4,252.55 million by 2032, at a CAGR of 19.1% during the forecast period. Asia Pacific holds a 21.0% market share in 2024.
Asia Pacific shows the fastest expansion supported by strong digital adoption across major economies. Urban consumers seek personalized guidance that aligns with fitness goals. Many platforms gain traction through mobile-first features suited for young populations. Regional wellness brands integrate AI modules to improve diet and lifestyle coaching. Hospitals explore personalized nutrition for chronic disease care. It gains momentum from rapid growth in smartphone-based health ecosystems. Startups launch metabolic testing kits that support deeper insights. The region becomes a key driver of future market growth.

Latin America

The Latin America Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 72.41 million in 2018 to USD 217.87 million in 2024 and is anticipated to reach USD 755.55 million by 2032, at a CAGR of 15.6% during the forecast period. Latin America holds a 4.8% market share in 2024.
Latin America experiences steady growth driven by rising interest in preventive wellness. Fitness centers integrate AI tools to support structured coaching programs. Many consumers adopt nutrition apps that simplify daily food tracking. Healthcare providers explore personalized diet programs for metabolic conditions. It benefits from growing investments in digital health infrastructure. Startups introduce localized solutions that match regional diets. Awareness improves with support from wellness campaigns across major cities. Market penetration expands through mobile platforms with affordable pricing.

Middle East

The Middle East Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 42.22 million in 2018 to USD 117.59 million in 2024 and is anticipated to reach USD 388.02 million by 2032, at a CAGR of 14.8% during the forecast period. The Middle East holds a 2.6% market share in 2024.
The Middle East sees rising demand for personalized health programs driven by lifestyle disease concerns. High-income users adopt AI-based tools for diet optimization. Wellness centers integrate digital nutrition modules linked to fitness routines. Hospitals expand use of personalized diet systems for chronic care. It gains support from national digital health strategies in GCC countries. Many platforms introduce Arabic language interfaces to improve engagement. Corporate wellness programs accelerate platform adoption. Growth moves forward with increasing awareness of nutrition-focused self-care.

Africa

The Africa Global AI-Driven Personalized Nutrition and Wellness Solutions Market size was valued at USD 17.76 million in 2018 to USD 61.50 million in 2024 and is anticipated to reach USD 178.13 million by 2032, at a CAGR of 12.9% during the forecast period. Africa holds a 1.3% market share in 2024.
Africa shows early-stage adoption powered by rising mobile health usage. Many consumers engage through app-based diet tracking tools. Non-communicable disease concerns push interest in personalized nutrition programs. Startups develop low-cost digital wellness platforms suited for regional needs. Healthcare providers explore AI-based tools to support preventive care. It grows through partnerships with fitness centers in major urban areas. Awareness campaigns encourage healthier habits across young populations. Market expansion remains gradual but promising.

Key Player Analysis:

PlateJoy
Nutrigenomix
Lumen
Nutrino Health (Mendel.ai)
Bioniq Health
Nuzest AI Labs
8fit
FoodMarble
Habit
Others

Competitive Analysis:

The Global AI-Driven Personalized Nutrition and Wellness Solutions Market features a competitive landscape shaped by strong innovation and rapid digital adoption. Leading players invest in AI engines that refine nutrient recommendations, metabolic tracking, and personalized guidance. Many companies expand product portfolios with diagnostic-linked tools that strengthen accuracy. Startups focus on mobile-first platforms that increase accessibility for diverse user groups. It gains competitive momentum from partnerships with fitness centers, healthcare providers, and food manufacturers. Firms prioritize user engagement features that support long-term retention. Several providers explore region-specific diet models to improve cultural relevance. Continuous upgrades across AI capabilities drive differentiation in a dynamic market.

Recent Developments:

In October 2025, IFF, a global leader in ingredients and biosciences, announced a strategic partnership with the U.K.-based digital wellness company Salus Optima to develop an AI-driven personalized nutrition platform focusing on metabolic health.
In February 2024, Rootine launched an AI-powered supplement personalization platform that integrates users’ genetics and biomarkers to tailor supplement dosing, advancing the customization of nutrition solutions.

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Report Coverage:

The research report offers an in-depth analysis based on AI Technology, Nutrition Type, Application and End User. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook:

Rising demand for adaptive nutrition plans will strengthen platform engagement across diverse user groups.
Integration of metabolic and biomarker analytics will enhance the precision of AI-driven recommendations.
Wearable devices will play a stronger role in data collection to improve real-time guidance.
Consumer interest in preventive health will expand opportunities across digital wellness programs.
Healthcare providers will adopt AI-driven diet tools to support long-term condition management.
Food manufacturers will use AI insights to design targeted product portfolios for specific dietary needs.
Personalized supplementation will gain momentum with better diagnostic support and tailored delivery.
AI-driven allergen and sensitivity tools will grow as users seek safer dietary decision-making.
Region-specific nutrition models will expand adoption in diverse cultural and dietary environments.
Advancements in conversational AI will refine user interaction and improve long-term retention.

CHAPTER NO. 1: GENESIS OF THE MARKET

1.1 Market Prelude – Introduction & Scope

1.2 The Big Picture – Objectives & Vision

1.3 Strategic Edge – Unique Value Proposition

1.4 Stakeholder Compass – Key Beneficiaries

CHAPTER NO. 2: EXECUTIVE LENS

2.1 Pulse of the Industry – Market Snapshot

2.2 Growth Arc – Revenue Projections (USD Million)

2.3. Premium Insights – Based on Primary Interviews

CHAPTER NO. 3: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET FORCES & INDUSTRY PULSE

3.1 Foundations of Change – Market Overview

3.2 Catalysts of Expansion – Key Market Drivers

3.2.1 Momentum Boosters – Growth Triggers

3.2.2 Innovation Fuel – Disruptive Technologies

3.3 Headwinds & Crosswinds – Market Restraints

3.3.1 Regulatory Tides – Compliance Challenges

3.3.2 Economic Frictions – Inflationary Pressures

3.4 Untapped Horizons – Growth Potential & Opportunities

3.5 Strategic Navigation – Industry Frameworks

3.5.1 Market Equilibrium – Porter’s Five Forces

3.5.2 Ecosystem Dynamics – Value Chain Analysis

3.5.3 Macro Forces – PESTEL Breakdown

3.6 Price Trend Analysis

3.6.1 Regional Price Trend

3.6.2 Price Trend by Product

CHAPTER NO. 4: KEY INVESTMENT EPICENTER

4.1 Regional Goldmines – High-Growth Geographies

4.2 Product Frontiers – Lucrative Product Categories

4.3 Application Sweet Spots – Emerging Demand Segments

CHAPTER NO. 5: REVENUE TRAJECTORY & WEALTH MAPPING

5.1 Momentum Metrics – Forecast & Growth Curves

5.2 Regional Revenue Footprint – Market Share Insights

5.3 Segmental Wealth Flow – AI Technology & Application Revenue

CHAPTER NO. 6: TRADE & COMMERCE ANALYSIS

6.1. Import Analysis by Region

6.1.1. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Import Revenue By Region

6.2. Export Analysis by Region

6.2.1. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Export Revenue By Region

CHAPTER NO. 7: COMPETITION ANALYSIS

7.1. Company Market Share Analysis

7.1.1. Global AI-Driven Personalized Nutrition and Wellness Solutions Market: Company Market Share

7.2. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Company Revenue Market Share

7.3. Strategic Developments

7.3.1. Acquisitions & Mergers

7.3.2. New Product Launch

7.3.3. Regional Expansion

7.4. Competitive Dashboard

7.5. Company Assessment Metrics, 2024

CHAPTER NO. 8: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – BY AI TECHNOLOGY SEGMENT ANALYSIS

8.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by AI Technology Segment

8.1.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By AI Technology

8.2. Machine Learning & Deep Learning

8.3. Natural Language Processing (NLP)

8.4. Computer Vision

CHAPTER NO. 9: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – BY NUTRITION TYPE SEGMENT ANALYSIS

9.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Nutrition Type Segment

9.1.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Nutrition Type

9.2. Personalized Diet Plans

9.3. Functional Foods & Supplements

CHAPTER NO. 10: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – BY APPLICATION SEGMENT ANALYSIS

10.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Application Segment

10.1.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Application

10.2. Personalized Meal Planning & Recommendations

10.3. Nutrient Analysis

10.4. Personalized Supplementation

10.5. Allergen and Sensitivity Detection

10.6. Others

CHAPTER NO. 11: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – BY END USER SEGMENT ANALYSIS

11.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by End User Segment

11.1.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By End User

11.2. Individuals & Consumers

11.3. Fitness and Wellness Centers

11.4. Healthcare Providers

11.5. Food Manufacturers

CHAPTER NO. 12: AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – REGIONAL ANALYSIS

12.1. AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Region Segment

12.1.1. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

12.1.2. Region

12.1.3. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Region

12.1.4. AI Technology

12.1.5. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

12.1.6. Nutrition Type

12.1.7. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

12.1.8. Application

12.1.9. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

12.1.10. End User

12.1.11. Global AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

CHAPTER NO. 13: NORTH AMERICA AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

13.1. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

13.1.1. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

13.2. North America

13.2.1. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

13.2.2. AI Technology

13.2.3. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

13.2.4. Nutrition Type

13.2.5. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

13.2.6. Application

13.2.7. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

13.2.8. End User

13.2.9. North America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

13.3. U.S.

13.4. Canada

13.5. Mexico

CHAPTER NO. 14: EUROPE AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

14.1. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

14.1.1. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

14.2. Europe

14.2.1. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

14.2.2. AI Technology

14.2.3. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

14.2.4. Nutrition Type

14.2.5. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

14.2.6. Application

14.2.7. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

14.2.8. End User

14.2.9. Europe AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

14.3. UK

14.4. France

14.5. Germany

14.6. Italy

14.7. Spain

14.8. Russia

14.9. Rest of Europe

CHAPTER NO. 15: ASIA PACIFIC AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

15.1. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

15.1.1. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

15.2. Asia Pacific

15.2.1. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

15.2.2. AI Technology

15.2.3. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

15.2.4. Nutrition Type

15.2.5. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

15.2.6. Application

15.2.7. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

15.2.8. End User

15.2.9. Asia Pacific AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

15.3. China

15.4. Japan

15.5. South Korea

15.6. India

15.7. Australia

15.8. Southeast Asia

15.9. Rest of Asia Pacific

CHAPTER NO. 16: LATIN AMERICA AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

16.1. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

16.1.1. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

16.2. Latin America

16.2.1. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

16.2.2. AI Technology

16.2.3. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

16.2.4. Nutrition Type

16.2.5. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

16.2.6. Application

16.2.7. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

16.2.8. End User

16.2.9. Latin America AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

16.3. Brazil

16.4. Argentina

16.5. Rest of Latin America

CHAPTER NO. 17: MIDDLE EAST AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

17.1. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

17.1.1. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

17.2. Middle East

17.2.1. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

17.2.2. AI Technology

17.2.3. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

17.2.4. Nutrition Type

17.2.5. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

17.2.6. Application

17.2.7. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

17.2.8. End User

17.2.9. Middle East AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

17.3. GCC Countries

17.4. Israel

17.5. Turkey

17.6. Rest of Middle East

CHAPTER NO. 18: AFRICA AI-DRIVEN PERSONALIZED NUTRITION AND WELLNESS SOLUTIONS MARKET – COUNTRY ANALYSIS

18.1. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Overview by Country Segment

18.1.1. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue Share By Region

18.2. Africa

18.2.1. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Country

18.2.2. AI Technology

18.2.3. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By AI Technology

18.2.4. Nutrition Type

18.2.5. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Nutrition Type

18.2.6. Application

18.2.7. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By Application

18.2.8. End User

18.2.9. Africa AI-Driven Personalized Nutrition and Wellness Solutions Market Revenue By End User

18.3. South Africa

18.4. Egypt

18.5. Rest of Africa

CHAPTER NO. 19: COMPANY PROFILES

19.1. PlateJoy

19.1.1. Company Overview

19.1.2. Product Portfolio

19.1.3. Financial Overview

19.1.4. Recent Developments

19.1.5. Growth Strategy

19.1.6. SWOT Analysis

19.2. Nutrigenomix

19.3. Lumen

19.4. Nutrino Health (Mendel.ai)

19.5. Bioniq Health

19.6. Nuzest AI Labs

19.7. 8fit

19.8. FoodMarble

19.9. Habit

19.10. Others

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Frequently Asked Questions:

What is the current market size for the Global AI-Driven Personalized Nutrition and Wellness Solutions Market, and what is its projected size in 2032?

The Global AI-Driven Personalized Nutrition and Wellness Solutions Market stands at USD 4,572.67 million in 2024 and is projected to reach USD 17,867.16 million by 2032. The shift toward data-backed lifestyle planning strengthens its long-term trajectory.

At what Compound Annual Growth Rate is the Global AI-Driven Personalized Nutrition and Wellness Solutions Market projected to grow between 2024 and 2032?

The Global AI-Driven Personalized Nutrition and Wellness Solutions Market is forecast to expand at a CAGR of 17.32%. The rate reflects strong adoption across wellness platforms and preventive health programs.

Which segment held the largest share in the Global AI-Driven Personalized Nutrition and Wellness Solutions Market in 2024?

Personalized diet plans held the largest share of the Global AI-Driven Personalized Nutrition and Wellness Solutions Market in 2024. Demand grew with rising interest in structured, adaptive diet guidance.

What are the primary factors fueling the growth of the Global AI-Driven Personalized Nutrition and Wellness Solutions Market?

Growth in the Global AI-Driven Personalized Nutrition and Wellness Solutions Market is driven by digital wellness adoption, wearable device integration, preventive health interest, and demand for real-time nutrition insights.

Who are the leading companies in the Global AI-Driven Personalized Nutrition and Wellness Solutions Market?

Key players in the Global AI-Driven Personalized Nutrition and Wellness Solutions Market include PlateJoy, Nutrigenomix, Lumen, Nutrino Health, Bioniq Health, Nuzest AI Labs, 8fit, and FoodMarble.

Which region commanded the largest share of the Global AI-Driven Personalized Nutrition and Wellness Solutions Market in 2024?

North America commanded the largest share of the Global AI-Driven Personalized Nutrition and Wellness Solutions Market in 2024. Strong digital adoption and high preventive health spending supported regional leadership.

About Author

Sushant Phapale

ICT & Automation Expert

Sushant is an expert in ICT, automation, and electronics with a passion for innovation and market trends.

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