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市場調查報告書
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1889424

人工智慧賦能的風味創新市場預測至2032年：按技術、應用、最終用戶和地區分類的全球分析

AI-Enabled Flavor Innovation Market Forecasts to 2032 - Global Analysis By Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的一項研究，全球人工智慧賦能的口味創新市場預計在 2025 年價值 3.75 億美元，預計到 2032 年將達到 21.4594 億美元，在預測期內的複合年成長率為 28.3%。

人工智慧驅動的風味創新正在變革食品飲料產業的研發方式。它利用智慧演算法分析消費行為、原料化學成分和新興趨勢，從而實現這一變革。這些工具能夠快速分析複雜的資料集，發現獨特的風味組合，改進配方，並精準預測感官表現。透過將機器學習與烹飪科學結合，企業可以加速研發，降低成本，並產品推出。人工智慧也有助於打造個人化風味，滿足消費者的生活方式偏好、營養目標和地理口味。這種方法鼓勵實驗，提高產品一致性，並幫助品牌在追求創新和客製化味覺體驗的市場中保持競爭優勢。

根據施普林格出版社旗下期刊《發現人工智慧》（Discover Artificial Intelligence）2025年的一篇綜述，人工智慧在食品業的應用在發表後的短短幾個月內就獲得了超過18000次的點擊量和8次的引用，反映出學術界和產業界對此的濃厚興趣。該研究重點介紹了食品可追溯性、安全性、品管、供應鏈最佳化和智慧包裝解決方案等方面取得的顯著進展。

對個人化口味的需求日益成長

消費者對客製化和個人化口味的需求日益成長，是推動人工智慧驅動的風味創新市場發展的主要動力。現代消費者越來越傾向於選擇符合自身健康目標、文化背景和生活方式的口味，這促使食品飲料品牌生產更具針對性的產品。人工智慧系統透過分析消費行為、偏好數據和人口統計模式，實現針對目標受眾的精準口味客製化。提供個人化口味有助於提升顧客滿意度、增加復購率並增強品牌忠誠度。隨著全球對個人化食品體驗的需求持續成長，企業越來越依賴人工智慧驅動的風味解決方案，以滿足消費者對獨特、以消費者為中心的風味創新日益成長的需求。

高昂的實施成本

人工智慧驅動的風味創新市場面臨的一大限制因素是實施先進人工智慧解決方案的高昂成本。建置和維護人工智慧基礎設施需要對技術、軟體授權、硬體和專業人才進行大量投資。中小型食品飲料公司往往難以獲得人工智慧風味開發所需的資金。此外，演算法改進、系統升級和維護等持續成本進一步加重了財務負擔。這些高昂的成本可能會阻礙人工智慧技術的應用，並限制其在風味創造領域的廣泛普及。因此，高昂的實施成本構成了一項重大挑戰，尤其對於預算有限的公司以及那些在發展中地區運作並尋求推出創新風味解決方案的公司而言更是如此。

與健康和保健趨勢的融合

人們對健康和保健的日益關注為人工智慧驅動的風味創新提供了巨大的機會。現今的消費者越來越追求既美味又有益健康的食品，例如低糖、低脂以及富含功能性成分的產品。人工智慧技術可以評估營養成分、預測口味，並在不犧牲感官享受的前提下，創造出更健康的風味解決方案。這使得企業能夠開發出符合消費者飲食偏好、健康目標和安全法規的產品。透過將人工智慧應用於注重健康的風味開發，品牌可以迎合注重健康的消費者，在競爭激烈的市場中脫穎而出，並充分利用全球對功能性食品和強化食品日益成長的需求。

激烈的競爭與市場飽和

人工智慧驅動的風味創新領域面臨日益激烈的競爭和潛在的市場飽和威脅。隨著老牌企業和新參與企業擴大在風味開發中採用人工智慧，競爭日益激烈，這可能導致價格下降、利潤率降低以及產品差異化難度加大。某些市場的擁擠會限制成長前景，尤其是在多家公司瞄準同一消費群體的情況下。為了保持競爭力，企業必須持續投資於新風味開發、尖端人工智慧系統和策略行銷。激烈的競爭和市場飽和的雙重壓力構成了重大威脅，使得企業難以在快速發展的人工智慧主導的風味創新環境中保持永續成長、持續創新並實現產品差異化。

新冠疫情的影響：

新冠疫情對人工智慧驅動的風味創新市場造成了嚴重衝擊。供應鏈、原料採購和分銷系統的中斷阻礙了傳統的風味開發，主要企業更加依賴人工智慧來提高效率和適應能力。消費者偏好的轉變，例如對居家烹飪、健康產品和客製化口味日益成長的興趣，促使企業利用人工智慧來識別新興趨勢並最佳化配方。疫情加速了數位轉型和遠端研究協作，實現了虛擬風味測試和即時數據驅動的洞察。儘管面臨營運挑戰，新冠疫情凸顯了人工智慧在市場波動時期維持風味開發創新性、敏捷性和韌性方面的重要性。

預計在預測期內，預測建模領域將佔據最大的市場佔有率。

預計在預測期內，預測建模領域將佔據最大的市場佔有率，因為它能夠幫助食品飲料公司預測消費者偏好、最佳化食材組合併精準打造引人入勝的口味。透過利用歷史趨勢、消費者行為和感官數據，預測模型可以減少對試驗的依賴，加速產品開發，並提高營運效率。該領域的廣泛應用歸功於其能夠提供可執行的洞察、降低風險並提高新口味上市的成功率。作為人工智慧驅動的口味創新的基礎，預測建模使企業能夠在日益注重以消費者為中心的、由個人化數據驅動的口味體驗的市場中保持競爭力并快速響應。

預計在預測期內，Start-Ups和人工智慧技術提供者板塊將呈現最高的複合年成長率。

由於其柔軟性、技術能力以及對創新解決方案的專注，預計Start-Ups和人工智慧技術提供者領域在預測期內將實現最高的成長率。這些公司透過開發複雜的人工智慧演算法、預測模型和機器學習平台來推動市場發展，從而實現更有效率的口味開發、更高的個人化程度和更最佳化的配方。與現有企業不同，Start-Ups能夠快速回應新興趨勢，與研發中心合作，並滿足特定的消費者需求。資金籌措、策略合作夥伴關係以及人工智慧技術的日益普及正在推動這一成長，目前，在尖端技術驅動下，Start-Ups和人工智慧技術供應商正經歷著最高的成長率，而人工智慧驅動的口味創新正是由最尖端科技所推動的。

佔比最大的地區：

在整個預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的食品飲料行業、先進的技術生態系統以及消費者對新產品的高度接受度。該地區正受益於人工智慧、機器學習和數據驅動分析領域的大量投資，這些技術正被應用於口味創造、個人化客製化和最佳化。強大的研發基礎設施、有利的政府支持以及眾多Start-Ups和人工智慧技術提供商的存在，都為市場的強勁發展做出了貢獻。消費者對獨特、客製化和健康口味日益成長的需求，正在推動創新並促進人工智慧工具的應用。北美的技術實力和市場準備度鞏固了其在全球人工智慧賦能的口味創新領域的主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將實現最高的複合年成長率，這主要得益於快速的都市化、可支配收入的成長以及消費者對客製化和獨特口味日益成長的需求。該地區蓬勃發展的食品飲料產業受益於技術進步、研發創新中心的興起以及對人工智慧研發舉措的投資。中國、印度和日本等主要市場貢獻顯著，這主要歸功於其精通技術的消費者以及對創新、健康且具有多元文化特色的口味產品日益成長的需求。透過利用人工智慧技術打造客製化和個人化口味，新興企業和成熟品牌正將亞太地區打造成為全球人工智慧驅動口味創新成長最快的地區。

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    • 根據客戶要求，提供主要國家的市場估算、預測和複合年成長率（註：可行性需確認）。
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    • 根據主要參與者的產品系列、地理覆蓋範圍和策略聯盟基準化分析

目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球人工智慧賦能風味創新市場（依技術分類）

  • 預測建模
  • 利用生成式人工智慧創造新口味
  • 感官數據分析
  • 用於口味模擬的數位雙胞胎
  • 感官資料的自然語言處理（NLP）
  • 人工智慧增強的品管和安全性

6. 全球人工智慧賦能風味創新市場（按應用領域分類）

  • 食品/飲料
    • 小吃
    • 乳製品
    • 麵包店
    • 飲料
    • 家常小菜
  • 植物來源和替代蛋白
  • 營養補充品和機能性食品
  • 功能性和健康導向型口味
  • 永續且成本最佳化的口味
  • 香料/芳香化合物

第7章 全球人工智慧賦能的風味創新市場（依最終用戶分類）

  • 食品製造商
  • 原物料供應商
  • 研究機構與創新中心
  • 香料及特殊原料製造商
  • 消費品牌
  • Start-Ups和人工智慧技術提供商

8. 全球人工智慧賦能風味創新市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第9章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第10章：企業概況

  • Analytical Flavor Systems
  • Tastewise
  • NotCo
  • Osmo
  • Firmenich
  • Hormel Foods
  • Mondelez International
  • PepsiCo
  • Cargill
  • Givaudan
  • Symrise
  • McCormick
  • DSM-Firmenich
  • Nestle
  • Barry Callebaut
Product Code: SMRC32763

According to Stratistics MRC, the Global AI-Enabled Flavor Innovation Market is accounted for $375.0 million in 2025 and is expected to reach $2145.94 million by 2032 growing at a CAGR of 28.3% during the forecast period. AI-driven flavor innovation is reshaping product development in the food and beverage sector by leveraging intelligent algorithms to study consumer behavior, ingredient chemistry, and emerging trends. These tools can swiftly analyze complex datasets to uncover distinctive flavor pairings, refine recipes, and forecast sensory performance with precision. By merging machine learning with culinary science, companies can speed up R&D, cut expenses, and release more consumer-focused offerings. AI also supports the creation of personalized flavors suited to lifestyle preferences, nutritional goals, and regional palates. This approach boosts experimentation, improves quality consistency, and helps brands maintain an edge in a market seeking inventive and tailored taste experiences.

According to a 2025 review in Discover Artificial Intelligence (Springer), data shows that AI adoption in the food industry has reached 18,000+ accesses and 8 citations within months of publication, reflecting strong academic and industrial interest. The study highlights measurable advancements in food traceability, safety, quality control, supply chain optimization, and intelligent packaging solutions.

Market Dynamics:

Driver:

Growing demand for personalized flavors

Rising consumer interest in bespoke and individualized taste profiles is significantly fueling the AI-enabled flavor innovation market. Modern consumers increasingly seek flavors that match their health goals, cultural backgrounds, and lifestyle habits, pushing food and beverage brands to produce more tailored products. AI systems facilitate this by analyzing consumption behavior, preference data, and demographic patterns, enabling precise flavor customization for targeted audiences. Personalized flavor offerings enhance satisfaction, encourage repeat purchases, and strengthen brand loyalty. As the global trend for tailored food experiences continues to expand, companies increasingly rely on AI-powered flavor solutions to cater to the growing appetite for unique, consumer-focused taste innovations.

Restraint:

High implementation costs

A key limitation in the AI-enabled flavor innovation market is the substantial expense required to deploy sophisticated AI solutions. Establishing and maintaining AI infrastructure involves considerable investments in technology, software licenses, hardware, and specialized talent. Smaller food and beverage enterprises often struggle to allocate the necessary funds for AI-based flavor development. Moreover, ongoing costs related to algorithm refinement, system upgrades, and maintenance further increase financial burdens. These high costs can hinder adoption and restrict the proliferation of AI technologies in flavor creation. Consequently, expensive implementation serves as a significant challenge, especially for budget-constrained companies and businesses operating in developing regions seeking to adopt innovative flavor solutions.

Opportunity:

Integration with health and wellness trends

The growing focus on health and wellness presents a major opportunity for AI-enabled flavor innovation. Modern consumers increasingly demand foods that are not only enjoyable but also beneficial, including options with reduced sugar, lower fat, or enriched with functional ingredients. AI technology can evaluate nutritional content, forecast taste outcomes, and create healthier flavor solutions without compromising sensory satisfaction. This allows companies to craft products that adhere to dietary preferences, health goals, and safety regulations. By applying AI in health-oriented flavor development, brands can cater to wellness-focused consumers, differentiate themselves in a competitive market, and tap into the expanding demand for functional and nutritionally enhanced food products globally.

Threat:

Intense competition and market saturation

The AI-enabled flavor innovation sector is threatened by heightened competition and potential market overcrowding. As both established brands and new entrants increasingly adopt AI for flavor development, rivalry intensifies, potentially causing price reductions, lower profit margins, and difficulties in standing out. Overcrowding in certain markets can restrict growth prospects, particularly where multiple players target the same consumer base. To remain competitive, companies must continually invest in novel flavors, state-of-the-art AI systems, and strategic marketing. The combination of fierce competition and market saturation represents a considerable threat, challenging businesses to sustain growth, innovate consistently, and differentiate their offerings in the rapidly evolving AI-driven flavor innovation landscape.

Covid-19 Impact:

The COVID-19 outbreak had a profound effect on the AI-enabled flavor innovation market. Interruptions in supply chains, ingredient availability, and distribution systems disrupted conventional flavor development, leading companies to rely more on AI for efficiency and adaptability. Shifts in consumer preferences, such as greater interest in home-prepared meals, healthier products, and customized flavors, encouraged firms to use AI to identify emerging trends and refine formulations. The pandemic also accelerated digital transformation and remote research collaboration, allowing for virtual flavor testing and real-time data-driven insights. Despite operational hurdles, COVID-19 underscored the importance of AI in maintaining innovation, agility, and resilience in flavor development during periods of market volatility.

The predictive modeling segment is expected to be the largest during the forecast period

The predictive modeling segment is expected to account for the largest market share during the forecast period, as it helps food and beverage companies anticipate consumer preferences, refine ingredient combinations, and create appealing flavors with accuracy. By leveraging historical trends, consumption behavior, and sensory data, predictive models reduce reliance on trial-and-error, speed up product development, and improve operational efficiency. The segment's broad adoption is attributed to its ability to provide actionable insights, mitigate risks, and enhance the success of new flavor launches. Serving as a cornerstone for AI-driven flavor innovation, predictive modeling empowers companies to remain competitive and responsive in a marketplace that increasingly values personalized, data-informed, and consumer-centric taste experiences.

The startups & AI tech providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the startups & AI tech providers segment is predicted to witness the highest growth rate, driven by their flexibility, technical capabilities, and focus on innovative solutions. These firms advance the market by creating sophisticated AI algorithms, predictive models, and machine learning platforms that streamline flavor development, improve personalization, and optimize formulations. Unlike conventional players, startups can swiftly respond to emerging trends, collaborate with innovation centers, and cater to specialized consumer needs. Their growth is supported by funding, strategic partnerships, and the rising adoption of AI technologies. As a result, startups and AI tech providers are experiencing the highest growth rate, leading the evolution of AI-driven flavor innovation through state-of-the-art technology.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its established food and beverage industry, advanced technological ecosystem, and high acceptance of new products by consumers. The region benefits from substantial investments in AI, machine learning, and data-driven analytics, which are leveraged for flavor creation, personalization, and optimization. Robust R&D infrastructure, favorable government support, and the presence of numerous startups and AI technology providers contribute to strong market development. Growing consumer interest in unique, tailored, and health-focused flavors drives innovation and encourages adoption of AI tools. North America's technological capabilities and market readiness ensure its dominant position in the global AI-enabled flavor innovation landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urbanization, higher disposable incomes, and increasing consumer interest in customized and unique flavors. The region's expanding food and beverage sector is supported by technological advancements, growing research and innovation centers, and investment in AI-based R&D initiatives. Key markets, including China, India, and Japan, contribute significantly with tech-savvy consumers and rising demand for innovative, health-conscious, and culturally diverse flavor offerings. By utilizing AI to create tailored and personalized flavors, both startups and established brands are positioning Asia Pacific as the region with the highest growth rate in global AI-enabled flavor innovation.

Key players in the market

Some of the key players in AI-Enabled Flavor Innovation Market include Analytical Flavor Systems, Tastewise, NotCo, Osmo, Firmenich, Hormel Foods, Mondelez International, PepsiCo, Cargill, Givaudan, Symrise, McCormick, DSM-Firmenich, Nestle and Barry Callebaut.

Key Developments:

In November 2025, NotCo AI and Barry Callebaut have entered into an agreement to explore implementing artificial intelligence in chocolate recipe development. This strategic partnership merges Barry Callebaut's century-long chocolate expertise with NotCo's cutting-edge AI capabilities, aiming to accelerate innovation and deliver faster, more tailored customer experiences.

In October 2025, Hormel Foods Corporation and Forward Consumer Partners are pleased to announce they have signed a definitive agreement to establish a new strategic partnership. The transaction is expected to close by the end of the calendar year. This partnership enables the Justin's(R) branded business, which includes category-leading products such as nut butters and USDA-certified organic chocolate treats, to once again become a standalone company, owned 51% by Forward and 49% by Hormel Foods.

In June 2025, Tastewise announced a $50 million Series B to scale its generative AI-powered marketing and sales tools for global brands. The investment was led by TELUS Global Ventures, with participation from Duo Partners, Peakbridge, Disruptive AI, and PICO, bringing Tastewise's total funding to date to $72 million.

Technologies Covered:

  • Predictive Modeling
  • Generative AI for Novel Flavor Creation
  • Sensory Data Analytics
  • Digital Twins for Flavor Simulation
  • Natural Language Processing (NLP) for Sensory Data
  • AI-Enhanced Quality Control & Safety

Applications Covered:

  • Food & Beverages
  • Plant-Based & Alternative Proteins
  • Nutraceuticals & Functional Foods
  • Functional & Wellness-Oriented Flavors
  • Sustainable & Cost-Optimized Flavors
  • Fragrances & Aroma Compounds

End Users Covered:

  • Food Manufacturers
  • Ingredient Suppliers
  • Research Labs & Innovation Hubs
  • Flavor Houses & Specialty Ingredient Firms
  • Consumer Brands
  • Startups & AI Tech Providers

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI-Enabled Flavor Innovation Market, By Technology

  • 5.1 Introduction
  • 5.2 Predictive Modeling
  • 5.3 Generative AI for Novel Flavor Creation
  • 5.4 Sensory Data Analytics
  • 5.5 Digital Twins for Flavor Simulation
  • 5.6 Natural Language Processing (NLP) for Sensory Data
  • 5.7 AI-Enhanced Quality Control & Safety

6 Global AI-Enabled Flavor Innovation Market, By Application

  • 6.1 Introduction
  • 6.2 Food & Beverages
    • 6.2.1 Snacks
    • 6.2.2 Dairy
    • 6.2.3 Bakery
    • 6.2.4 Beverages
    • 6.2.5 Savory
  • 6.3 Plant-Based & Alternative Proteins
  • 6.4 Nutraceuticals & Functional Foods
  • 6.5 Functional & Wellness-Oriented Flavors
  • 6.6 Sustainable & Cost-Optimized Flavors
  • 6.7 Fragrances & Aroma Compounds

7 Global AI-Enabled Flavor Innovation Market, By End User

  • 7.1 Introduction
  • 7.2 Food Manufacturers
  • 7.3 Ingredient Suppliers
  • 7.4 Research Labs & Innovation Hubs
  • 7.5 Flavor Houses & Specialty Ingredient Firms
  • 7.6 Consumer Brands
  • 7.7 Startups & AI Tech Providers

8 Global AI-Enabled Flavor Innovation Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Analytical Flavor Systems
  • 10.2 Tastewise
  • 10.3 NotCo
  • 10.4 Osmo
  • 10.5 Firmenich
  • 10.6 Hormel Foods
  • 10.7 Mondelez International
  • 10.8 PepsiCo
  • 10.9 Cargill
  • 10.10 Givaudan
  • 10.11 Symrise
  • 10.12 McCormick
  • 10.13 DSM-Firmenich
  • 10.14 Nestle
  • 10.15 Barry Callebaut

List of Tables

  • Table 1 Global AI-Enabled Flavor Innovation Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI-Enabled Flavor Innovation Market Outlook, By Technology (2024-2032) ($MN)
  • Table 3 Global AI-Enabled Flavor Innovation Market Outlook, By Predictive Modeling (2024-2032) ($MN)
  • Table 4 Global AI-Enabled Flavor Innovation Market Outlook, By Generative AI for Novel Flavor Creation (2024-2032) ($MN)
  • Table 5 Global AI-Enabled Flavor Innovation Market Outlook, By Sensory Data Analytics (2024-2032) ($MN)
  • Table 6 Global AI-Enabled Flavor Innovation Market Outlook, By Digital Twins for Flavor Simulation (2024-2032) ($MN)
  • Table 7 Global AI-Enabled Flavor Innovation Market Outlook, By Natural Language Processing (NLP) for Sensory Data (2024-2032) ($MN)
  • Table 8 Global AI-Enabled Flavor Innovation Market Outlook, By AI-Enhanced Quality Control & Safety (2024-2032) ($MN)
  • Table 9 Global AI-Enabled Flavor Innovation Market Outlook, By Application (2024-2032) ($MN)
  • Table 10 Global AI-Enabled Flavor Innovation Market Outlook, By Food & Beverages (2024-2032) ($MN)
  • Table 11 Global AI-Enabled Flavor Innovation Market Outlook, By Snacks (2024-2032) ($MN)
  • Table 12 Global AI-Enabled Flavor Innovation Market Outlook, By Dairy (2024-2032) ($MN)
  • Table 13 Global AI-Enabled Flavor Innovation Market Outlook, By Bakery (2024-2032) ($MN)
  • Table 14 Global AI-Enabled Flavor Innovation Market Outlook, By Beverages (2024-2032) ($MN)
  • Table 15 Global AI-Enabled Flavor Innovation Market Outlook, By Savory (2024-2032) ($MN)
  • Table 16 Global AI-Enabled Flavor Innovation Market Outlook, By Plant-Based & Alternative Proteins (2024-2032) ($MN)
  • Table 17 Global AI-Enabled Flavor Innovation Market Outlook, By Nutraceuticals & Functional Foods (2024-2032) ($MN)
  • Table 18 Global AI-Enabled Flavor Innovation Market Outlook, By Functional & Wellness-Oriented Flavors (2024-2032) ($MN)
  • Table 19 Global AI-Enabled Flavor Innovation Market Outlook, By Sustainable & Cost-Optimized Flavors (2024-2032) ($MN)
  • Table 20 Global AI-Enabled Flavor Innovation Market Outlook, By Fragrances & Aroma Compounds (2024-2032) ($MN)
  • Table 21 Global AI-Enabled Flavor Innovation Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global AI-Enabled Flavor Innovation Market Outlook, By Food Manufacturers (2024-2032) ($MN)
  • Table 23 Global AI-Enabled Flavor Innovation Market Outlook, By Ingredient Suppliers (2024-2032) ($MN)
  • Table 24 Global AI-Enabled Flavor Innovation Market Outlook, By Research Labs & Innovation Hubs (2024-2032) ($MN)
  • Table 25 Global AI-Enabled Flavor Innovation Market Outlook, By Flavor Houses & Specialty Ingredient Firms (2024-2032) ($MN)
  • Table 26 Global AI-Enabled Flavor Innovation Market Outlook, By Consumer Brands (2024-2032) ($MN)
  • Table 27 Global AI-Enabled Flavor Innovation Market Outlook, By Startups & AI Tech Providers (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.