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市场调查报告书
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1889424

人工智慧赋能的风味创新市场预测至2032年：按技术、应用、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的一项研究，全球人工智慧赋能的口味创新市场预计在 2025 年价值 3.75 亿美元，预计到 2032 年将达到 21.4594 亿美元，在预测期内的复合年增长率为 28.3%。

人工智慧驱动的风味创新正在变革食品饮料产业的研发方式。它利用智慧演算法分析消费行为、原料化学成分和新兴趋势，从而实现这一变革。这些工具能够快速分析复杂的资料集，发现独特的风味组合，改进配方，并精准预测感官表现。透过将机器学习与烹饪科学结合，企业可以加速研发，降低成本，并产品推出。人工智慧也有助于打造个人化风味，满足消费者的生活方式偏好、营养目标和地理口味。这种方法鼓励实验，提高产品一致性，并帮助品牌在追求创新和客製化味觉体验的市场中保持竞争优势。

根据施普林格出版社旗下期刊《发现人工智慧》（Discover Artificial Intelligence）2025年的一篇综述，人工智慧在食品业的应用在发表后的短短几个月内就获得了超过18000次的点击量和8次的引用，反映出学术界和产业界对此的浓厚兴趣。该研究重点介绍了食品可追溯性、安全性、品管、供应链优化和智慧包装解决方案等方面取得的显着进展。

对个人化口味的需求日益增长

消费者对客製化和个人化口味的需求日益增长，是推动人工智慧驱动的风味创新市场发展的主要动力。现代消费者越来越倾向于选择符合自身健康目标、文化背景和生活方式的口味，这促使食品饮料品牌生产更具针对性的产品。人工智慧系统透过分析消费行为、偏好数据和人口统计模式，实现针对目标受众的精准口味客製化。提供个人化口味有助于提升顾客满意度、增加復购率并增强品牌忠诚度。随着全球对个人化食品体验的需求持续增长，企业越来越依赖人工智慧驱动的风味解决方案，以满足消费者对独特、以消费者为中心的风味创新日益增长的需求。

高昂的实施成本

人工智慧驱动的风味创新市场面临的一大限制因素是实施先进人工智慧解决方案的高昂成本。建置和维护人工智慧基础设施需要对技术、软体授权、硬体和专业人才进行大量投资。中小型食品饮料公司往往难以获得人工智慧风味开发所需的资金。此外，演算法改进、系统升级和维护等持续成本进一步加重了财务负担。这些高昂的成本可能会阻碍人工智慧技术的应用，并限制其在风味创造领域的广泛普及。因此，高昂的实施成本构成了一项重大挑战，尤其对于预算有限的公司以及那些在发展中地区运作并寻求推出创新风味解决方案的公司而言更是如此。

与健康和保健趋势的融合

人们对健康和保健的日益关注为人工智慧驱动的风味创新提供了巨大的机会。现今的消费者越来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产品。人工智慧技术可以评估营养成分、预测口味，并在不牺牲感官享受的前提下，创造出更健康的风味解决方案。这使得企业能够开发出符合消费者饮食偏好、健康目标和安全法规的产品。透过将人工智慧应用于注重健康的风味开发，品牌可以迎合注重健康的消费者，在竞争激烈的市场中脱颖而出，并充分利用全球对功能性食品和强化食品日益增长的需求。

激烈的竞争与市场饱和

人工智慧驱动的风味创新领域面临日益激烈的竞争和潜在的市场饱和威胁。随着老牌企业和新参与企业越来越多地在风味开发中采用人工智慧，竞争日益激烈，这可能导致价格下降、利润率降低以及产品差异化难度加大。某些市场的拥挤会限製成长前景，尤其是在多家公司瞄准同一消费群体的情况下。为了保持竞争力，企业必须持续投资于新风味开发、尖端人工智慧系统和策略行销。激烈的竞争和市场饱和的双重压力构成了重大威胁，使得企业难以在快速发展的人工智慧主导的风味创新环境中保持可持续成长、持续创新并实现产品差异化。

新冠疫情的影响：

新冠疫情对人工智慧驱动的风味创新市场造成了严重衝击。供应链、原料采购和分销系统的中断阻碍了传统的风味开发，主要企业更加依赖人工智慧来提高效率和适应能力。消费者偏好的转变，例如对居家烹饪、健康产品和客製化口味日益增长的兴趣，促使企业利用人工智慧来识别新兴趋势并优化配方。疫情加速了数位转型和远端研究协作，实现了虚拟风味测试和即时数据驱动的洞察。儘管面临营运挑战，新冠疫情凸显了人工智慧在市场波动时期维持风味开发创新性、敏捷性和韧性方面的重要性。

预计在预测期内，预测建模领域将占据最大的市场份额。

预计在预测期内，预测建模领域将占据最大的市场份额，因为它能够帮助食品饮料公司预测消费者偏好、优化食材组合併精准打造引人入胜的口味。透过利用历史趋势、消费者行为和感官数据，预测模型可以减少对试验的依赖，加速产品开发，并提高营运效率。该领域的广泛应用归功于其能够提供可执行的洞察、降低风险并提高新口味上市的成功率。作为人工智慧驱动的口味创新的基础，预测建模使企业能够在日益注重以消费者为中心的、由个人化数据驱动的口味体验的市场中保持竞争力并快速响应。

预计在预测期内，Start-Ups和人工智慧技术提供者板块将呈现最高的复合年增长率。

由于其柔软性、技术能力以及对创新解决方案的专注，预计Start-Ups和人工智慧技术提供者领域在预测期内将实现最高的成长率。这些公司透过开发复杂的人工智慧演算法、预测模型和机器学习平台来推动市场发展，从而实现更有效率的口味开发、更高的个人化程度和更优化的配方。与现有企业不同，Start-Ups能够快速回应新兴趋势，与研发中心合作，并满足特定的消费者需求。资金筹措、策略合作伙伴关係以及人工智慧技术的日益普及正在推动这一成长，目前，在尖端技术驱动下，Start-Ups和人工智慧技术供应商正经历着最高的成长率，而人工智慧驱动的口味创新正是由最尖端科技所推动的。

占比最大的地区：

在整个预测期内，北美预计将占据最大的市场份额，这得益于其成熟的食品饮料行业、先进的技术生态系统以及消费者对新产品的高度接受度。该地区正受益于人工智慧、机器学习和数据驱动分析领域的大量投资，这些技术正被应用于口味创造、个人化客製化和最佳化。强大的研发基础设施、有利的政府支持以及众多Start-Ups和人工智慧技术提供商的存在，都为市场的强劲发展做出了贡献。消费者对独特、客製化和健康口味日益增长的需求，正在推动创新并促进人工智慧工具的应用。北美的技术实力和市场准备度巩固了其在全球人工智慧赋能的口味创新领域的主导地位。

复合年增长率最高的地区：

在预测期内，亚太地区预计将实现最高的复合年增长率，这主要得益于快速的都市化、可支配收入的增长以及消费者对定制和独特口味日益增长的需求。该地区蓬勃发展的食品饮料产业受益于技术进步、研发创新中心的兴起以及对人工智慧研发倡议的投资。中国、印度和日本等主要市场贡献显着，这主要归功于其精通技术的消费者以及对创新、健康且具有多元文化特色的口味产品日益增长的需求。透过利用人工智慧技术打造客製化和个人化口味，新兴企业和成熟品牌正将亚太地区打造成为全球人工智慧驱动口味创新成长最快的地区。

免费客製化服务：

购买此报告后，您将获得以下免费自订选项之一：

  • 公司概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 主要参与者（最多3家公司）的SWOT分析
  • 区域细分
    • 根据客户要求，提供主要国家的市场估算、预测和复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要参与者的产品系列、地理覆盖范围和策略联盟基准化分析

目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球人工智慧赋能风味创新市场（依技术划分）

  • 预测建模
  • 利用生成式人工智慧创造新口味
  • 感官数据分析
  • 用于口味模拟的数位双胞胎
  • 感官资料的自然语言处理（NLP）
  • 人工智慧增强的品管和安全性

6. 全球人工智慧赋能风味创新市场（按应用领域划分）

  • 食品/饮料
    • 小吃
    • 乳製品
    • 麵包店
    • 饮料
    • 家常小菜
  • 植物来源和替代蛋白
  • 营养补充品和机能性食品
  • 功能性和健康导向型口味
  • 永续且成本优化的口味
  • 香料/芳香化合物

第七章 全球人工智慧赋能的风味创新市场（依最终用户划分）

  • 食品製造商
  • 原物料供应商
  • 研究机构与创新中心
  • 香料及特殊原料製造商
  • 消费品牌
  • Start-Ups和人工智慧技术提供商

8. 全球人工智慧赋能风味创新市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第九章：重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十章：企业概况

  • 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.