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세계의 맞춤 영양용 인공지능(AI) 시장 보고서(2024년)
Artificial Intelligence (AI) In Personalized Nutrition Global Market Report 2024
상품코드 : 1596984
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

맞춤 영양용 인공지능(AI) 시장 규모는 향후 몇 년동안 비약적인 성장세를 보이며 2028년까지 연평균 23.5% 성장하여 85억 1,000만 달러 규모로 성장할 것으로 예상됩니다. 예측 기간 동안 예상되는 성장은 헬스케어 혁신에 대한 투자 증가, 노인 인구 증가, 생활습관병 증가, 정밀의료에서 인공지능(AI)의 활용 확대, 당뇨병 및 비만과 같은 질병의 유행에 기인합니다. 이 기간 동안 예상되는 주요 동향으로는 AI 기반 영양 플랫폼 개발, 유전자 데이터 분석에 AI 활용, 사물인터넷(IoT) 기기와 AI의 통합, 개인화된 보충제 추천을 위한 예측 분석, 맞춤형 식단 계획 수립을 위한 AI 알고리즘의 발전, 첨단 기술 채택 등이 있습니다. 기술 채택 등이 있습니다.

비만과 같은 질병의 확산이 확대되면서 개인 맞춤형 영양(AI) 시장의 성장을 가속할 것으로 예상됩니다. 비만은 건강에 악영향을 미칠 수 있는 과도한 체지방을 특징으로 하는 질병으로, 칼로리 섭취량 증가, 좌식 생활, 가공식품 소비, 사회경제적 영향, 건강에 해로운 식습관을 조장하는 환경적 요인 등이 복합적으로 작용하여 증가 추세에 있습니다. AI 기반 개인화된 영양 솔루션을 통한 비만 관리는 필수적입니다. 이러한 시스템은 유전학, 생활습관, 건강 상태 등의 요인에 따라 개인별 식단 계획과 개입을 수립할 수 있도록 도와주기 때문입니다. 이러한 접근 방식은 보다 효과적이고 지속 가능한 체중 관리 전략을 제공하면서 건강한 식습관을 장려합니다. 예를 들어, 영국의 Office for Health Improvement and Disparities가 2024년 5월에 보고한 바에 따르면, 2022-2023년 영국 18세 이상 성인의 약 64.0%가 과체중 또는 비만으로 분류되며, 2021-2023년 사이에는 과체중으로 분류될 것으로 예상했습니다. 분류되어 2021-2022년에 기록된 63.8%에서 약간 증가한 것으로 나타났습니다. 이처럼 비만율 증가는 개인 맞춤형 영양학에서 AI에 대한 수요를 촉진하고 있습니다.

AI를 활용한 맞춤형 영양 분야의 주요 기업들은 개인화된 식단 제안을 제공하기 위해 AI를 활용한 식품 및 레시피 플랫폼을 구축하는 데 주력하고 있습니다. 이러한 플랫폼은 AI를 활용하여 개인의 취향, 영양 요구, 건강 데이터를 기반으로 맞춤형 식사 계획, 레시피, 식단 추천을 생성합니다. 예를 들어, 2023년 8월 한국의 가전제품 제조업체인 삼성 전자는 AI를 활용한 개인 맞춤형 식단 및 레시피 플랫폼인 삼성 푸드를 발표했습니다. 삼성 푸드는 완전히 개인화된 요리 경험을 제공하고 사용자에게 16만 개 이상의 레시피에 대한 액세스를 제공하는 동시에 식사 계획과 식재료 조달을 위한 가상 비서 역할을 합니다. 푸드 AI를 통해 사용자는 채식 대체품을 만들거나 영양 성분을 조정하는 등 특정 식단의 필요에 따라 레시피를 맞춤화할 수 있습니다. 이 플랫폼은 또한 퓨전 레시피를 만들고, 요리 난이도를 변경하고, 개인 취향에 맞는 AI 기반 식사 계획을 추천할 수 있도록 지원합니다. 또한, 레시피를 통해 쇼핑 목록을 작성하고 다양한 소매점에서 온라인으로 식재료를 주문할 수도 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 거시경제 시나리오

제5장 세계 시장 규모와 성장

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 개요

제31장 기타 주요 기업 및 혁신 기업

제32장 경쟁 벤치마킹

제33장 경쟁 대시보드

제34장 주요 인수합병(M&A)

제35장 향후 전망과 잠재적인 분석

제36장 부록

LSH
영문 목차

영문목차

Artificial intelligence (AI) in the context of personalized nutrition involves utilizing AI technologies such as machine learning, natural language processing, and data analytics to formulate dietary recommendations that are customized to an individual's specific traits. These AI systems examine extensive data from scientific studies, personal health records, and food information to create personalized nutrition plans designed to enhance health, prevent illnesses, and promote overall wellness. This strategy seeks to improve dietary results by providing more accurate and individualized methods for health maintenance or enhancement.

The primary forms of artificial intelligence (AI) used in personalized nutrition consist of machine learning, deep learning, natural language processing, and computer vision. Machine learning, a subset of AI, allows systems to learn from data and enhance their effectiveness over time without the need for direct programming. It is utilized for various purposes, including meal planning and recommendations, nutrient evaluation, personalized supplement advice, allergen and sensitivity identification, and health monitoring. These applications are adopted by individuals, fitness and wellness facilities, healthcare professionals, and food producers.

The artificial intelligence (AI) in personalized nutrition market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in personalized nutrition market statistics, including artificial intelligence (AI) in personalized nutrition industry global market size, regional shares, competitors with a artificial intelligence (AI) in personalized nutrition market share, detailed artificial intelligence (AI) in personalized nutrition market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in personalized nutrition industry. This artificial intelligence (AI) in personalized nutrition market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in personalized nutrition market size has grown exponentially in recent years. It will grow from $2.96 billion in 2023 to $3.66 billion in 2024 at a compound annual growth rate (CAGR) of 23.4%. The growth during the historic period can be attributed to the increasing demand for personalized wellness solutions, greater awareness of nutrigenomics, the expansion of wearable health technology, the growing number of smartphones, and higher disposable incomes.

The artificial intelligence (AI) in personalized nutrition market size is expected to see exponential growth in the next few years. It will grow to $8.51 billion in 2028 at a compound annual growth rate (CAGR) of 23.5%. The growth anticipated in the forecast period can be credited to rising investments in health tech innovation, an expanding geriatric population, an increase in lifestyle-related diseases, the growing use of artificial intelligence (AI) in precision medicine, and the prevalence of conditions such as diabetes and obesity. Key trends expected during this period include the development of AI-powered nutrition platforms, the use of AI for genetic data analysis, the integration of AI with Internet of Things (IoT) devices, predictive analytics for personalized supplement recommendations, advancements in AI algorithms for customized meal planning, and the adoption of cutting-edge technologies.

The growing prevalence of conditions such as obesity is expected to drive the expansion of artificial intelligence (AI) in the personalized nutrition market. Obesity, a medical condition marked by excessive body fat that can negatively impact health, is on the rise due to a mix of factors such as increased caloric intake, sedentary lifestyles, processed food consumption, socioeconomic influences, and environmental conditions that encourage unhealthy eating behaviors. Managing obesity with AI-based personalized nutrition solutions is essential, as these systems help create individualized dietary plans and interventions tailored to factors such as genetics, lifestyle, and health status. This approach offers more effective and sustainable weight management strategies while promoting healthier eating habits. For example, the UK's Office for Health Improvement and Disparities reported in May 2024 that between 2022 and 2023, around 64.0% of adults aged 18 and older in England were categorized as overweight or living with obesity, a slight increase from the 63.8% recorded in 2021-2022. As such, the rising rates of obesity are fueling the demand for AI in personalized nutrition.

Leading companies in the AI-driven personalized nutrition sector are concentrating on creating AI-powered food and recipe platforms to deliver personalized meal suggestions. These platforms utilize AI to generate customized dietary plans, recipes, and meal recommendations based on an individual's preferences, nutritional needs, and health data. For instance, in August 2023, Samsung Electronics, a South Korean consumer electronics manufacturer, introduced Samsung Food, an AI-powered personalized food and recipe platform. Samsung Food provides a fully personalized culinary experience, offering users access to over 160,000 recipes while serving as a virtual assistant for meal planning and ingredient sourcing. Its Food AI allows users to customize recipes to meet specific dietary needs, such as creating vegan alternatives or adjusting nutritional content. The platform also supports crafting fusion recipes, altering the cooking difficulty, and providing AI-driven meal plan recommendations tailored to individual preferences. Additionally, it enables users to create shopping lists from recipes and conveniently order ingredients online from various retailers.

In July 2024, Teamworks, a U.S.-based provider of productivity software, acquired ZoneIn for an undisclosed sum. The acquisition will integrate ZoneIn's top features with the intellectual property of Notemeal, incorporating them into the Teamworks AMS platform. This integration builds on the foundation laid by the earlier acquisition of Smartabase. ZoneIn is a U.S.-based AI-powered sports nutrition app.

Major companies operating in the artificial intelligence (AI) in personalized nutrition market are Appinventiv, LemonBox, Culina Health, Viome Inc., EIT Food, Zoe Ltd., Habit, Nutrify LLC, Nutrino Health Ltd., January AI, Nutrigenomix Inc., InsideTracker, Persona Nutrition, Suggestic Inc., Spur Fit, BiteAI , BetterMeal AI, EatLove , Nourished, DayTwo

North America was the largest region in the artificial intelligence (AI) in personalized nutrition market in 2023. The regions covered in the artificial intelligence (AI) in personalized nutrition marker report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in personalized nutrition marker report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in personalized nutrition market consists of revenues earned by entities by providing services such as nutrient tracking, real-time diet adjustment, food logging and recognition, supplement recommendations and wellness tracking. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in personalized nutrition market also includes sales of custom meal kits, ai-powered nutrition apps, wearable devices and protein powders. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) In Personalized Nutrition Global Market Report 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (AI) in personalized nutrition market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (AI) in personalized nutrition ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) in personalized nutrition market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) In Personalized Nutrition Market Characteristics

3. Artificial Intelligence (AI) In Personalized Nutrition Market Trends And Strategies

4. Artificial Intelligence (AI) In Personalized Nutrition Market - Macro Economic Scenario

5. Global Artificial Intelligence (AI) In Personalized Nutrition Market Size and Growth

6. Artificial Intelligence (AI) In Personalized Nutrition Market Segmentation

7. Artificial Intelligence (AI) In Personalized Nutrition Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) In Personalized Nutrition Market

9. China Artificial Intelligence (AI) In Personalized Nutrition Market

10. India Artificial Intelligence (AI) In Personalized Nutrition Market

11. Japan Artificial Intelligence (AI) In Personalized Nutrition Market

12. Australia Artificial Intelligence (AI) In Personalized Nutrition Market

13. Indonesia Artificial Intelligence (AI) In Personalized Nutrition Market

14. South Korea Artificial Intelligence (AI) In Personalized Nutrition Market

15. Western Europe Artificial Intelligence (AI) In Personalized Nutrition Market

16. UK Artificial Intelligence (AI) In Personalized Nutrition Market

17. Germany Artificial Intelligence (AI) In Personalized Nutrition Market

18. France Artificial Intelligence (AI) In Personalized Nutrition Market

19. Italy Artificial Intelligence (AI) In Personalized Nutrition Market

20. Spain Artificial Intelligence (AI) In Personalized Nutrition Market

21. Eastern Europe Artificial Intelligence (AI) In Personalized Nutrition Market

22. Russia Artificial Intelligence (AI) In Personalized Nutrition Market

23. North America Artificial Intelligence (AI) In Personalized Nutrition Market

24. USA Artificial Intelligence (AI) In Personalized Nutrition Market

25. Canada Artificial Intelligence (AI) In Personalized Nutrition Market

26. South America Artificial Intelligence (AI) In Personalized Nutrition Market

27. Brazil Artificial Intelligence (AI) In Personalized Nutrition Market

28. Middle East Artificial Intelligence (AI) In Personalized Nutrition Market

29. Africa Artificial Intelligence (AI) In Personalized Nutrition Market

30. Artificial Intelligence (AI) In Personalized Nutrition Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) In Personalized Nutrition Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) In Personalized Nutrition Market Competitive Benchmarking

33. Global Artificial Intelligence (AI) In Personalized Nutrition Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Personalized Nutrition Market

35. Artificial Intelligence (AI) In Personalized Nutrition Market Future Outlook and Potential Analysis

36. Appendix

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