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푸드테크 분야 인공지능(AI) 시장 보고서(2026년)

Artificial Intelligence (AI) In Foodtech Global Market Report 2026

발행일: | 리서치사: 구분자 The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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한글목차
영문목차

푸드테크 분야 인공지능(AI) 시장 규모는 최근 비약적으로 성장하고 있습니다. 2025년 86억 1,000만 달러로 평가되었고, 2026년에는 115억 6,000만 달러로 추정되며, CAGR 34.3%로 성장할 전망입니다. 지금까지의 성장 요인으로는 식품 가공 업무의 디지털화 진전, 식품 제조 분야의 자동화 보급, 식품 안전 기준 준수에 대한 관심 증가, 체계화된 식품 공급망의 확대, 그리고 수요 계획에 AI 분석을 조기에 도입한 점 등을 들 수 있습니다.

푸드테크 분야 인공지능(AI) 시장 규모는 향후 몇 년간 비약적인 성장이 전망되고 있습니다. CAGR 33.9%로 확대될 전망이며, 2030년에는 371억 8,000만 달러에 이를 것으로 예측됩니다. 예측 기간 동안의 성장 요인으로는 AI를 활용한 푸드테크 플랫폼에 대한 투자 확대, 폐기물 감축에 초점을 맞춘 솔루션에 대한 수요 증가, 맞춤형 영양(Personalized Nutrition)의 용도 확대, 조리 공정에서의 AI 로봇 활용 증가, 그리고 AI와 스마트 가전의 통합이 진행될 것 등이 꼽힙니다. 예측 기간 중 주요 동향으로는 AI를 활용한 식품 품질 모니터링의 도입 확대, 수요 예측을 위한 예측 분석의 활용 증가, 스마트 주방 자동화의 도입 확대, AI 기반 공급망 최적화의 도입 확대, 그리고 맞춤형 영양 솔루션에 대한 집중 강화 등이 꼽힙니다.

음식 배달 사업의 확대는 향후 푸드테크 시장에서 인공지능(AI)의 성장을 뒷받침할 것으로 예측됩니다. 음식 배달 사업이란 레스토랑, 카페, 기타 음식점에서 가정이나 사무실 등 고객의 위치로 조리된 식사를 직접 배달하는 산업 부문을 말합니다. 푸드 딜리버리 사업은 편의성에 대한 소비자 수요 증가, 온라인 주문 플랫폼의 보급 확대, 그리고 다양한 레스토랑 및 식품 공급업체의 배달 서비스 이용 가능성 향상으로 인해 성장하고 있습니다. 식품 분야의 AI는 배달 경로 최적화, 맞춤형 추천을 위한 고객 기호 예측, 주문 관리 자동화를 통해 업무 효율을 높이고 배달 시간을 단축함으로써 푸드 딜리버리 사업을 뒷받침하고 있습니다. 예를 들어, 인도의 미디어 플레이어 ‘이코노믹 타임즈’에 따르면, 2024년 5월 보도에서 2023년 상반기 동안 인도를 거점으로 하는 온라인 음식 주문·배달 플랫폼 ‘Swiggy’는 푸드 딜리버리 사업의 총거래액(GMV)이 전년 동기 대비 17% 증가한 14억 3,000만 달러에 달했다고 보도되었습니다. 따라서 푸드 딜리버리 사업의 확대가 푸드테크 시장에서 인공지능(AI) 도입을 촉진하고 있습니다.

푸드테크 시장의 인공지능(AI) 분야에서 사업을 전개하는 주요 기업들은 새로운 식재료 개발의 속도와 효율을 높이기 위해, AI를 활용한 식재료 발굴 플랫폼 등 첨단 솔루션 개발에 주력하고 있습니다. AI를 활용한 식재료 발견 플랫폼은 머신러닝과 방대한 생물학 데이터 세트를 활용하여, 식품, 농업, 퍼스널케어 또는 소재 분야에서의 용도를 목적으로 바람직한 기능적 특성을 지닌 천연 단백질이나 분자를 신속하게 식별합니다. 예를 들어, 2024년 5월, 미국에 본사를 둔 단백질 발견 기업인 Shiru Inc.는 AI를 활용한 검색, 카탈로그, 라이선싱 시스템을 갖춘 세계 최초의 단백질 전용 마켓플레이스 겸 발견 플랫폼인 ‘ProteinDiscovery.ai’를 출시했습니다. ProteinDiscovery.ai는 식물 및 미생물 유래 3,300만 종 이상의 천연 단백질을 포함하는 데이터베이스에 대한 접근을 사용자에게 제공하여, 기업이 다양한 용도를 위한 단백질 분자의 검색, 시험, 라이선싱, 구매를 가능하게 합니다. 이 플랫폼은 단백질의 기능성 및 발현 예측을 지원하여 연구 개발(R&D) 기간과 비용을 대폭 절감합니다. 클린 라벨 감미 단백질, 고안정성 단백질, 또는 식물 유래 지방 및 식감 조절용 단백질의 식별 등 다양한 용도에 대응하며, 발견부터 상용 제품 개발에 이르는 과정의 가속화를 목표로 하고 있습니다.

자주 묻는 질문

  • 푸드테크 분야 인공지능(AI) 시장 규모는 어떻게 변화하고 있나요?
  • 푸드테크 시장에서 인공지능(AI)의 성장 요인은 무엇인가요?
  • 음식 배달 사업이 푸드테크 시장에 미치는 영향은 무엇인가요?
  • 푸드테크 분야에서 AI를 활용한 주요 기업은 어떤 기업들이 있나요?
  • 푸드테크 시장에서 AI의 활용 사례는 무엇인가요?

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 공급망 분석

제4장 세계 시장 동향 및 전략

제5장 최종 이용 산업 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁과 관세의 영향, 관세 전쟁과 무역 보호주의의 공급망에 대한 영향, 코로나 팬데믹이 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 TAM(Total Addressable Market) 규모

제9장 시장 세분화

제10장 지역별 및 국가별 분석

제11장 아시아태평양 시장

제12장 중국 시장

제13장 인도 시장

제14장 일본 시장

제15장 호주 시장

제16장 인도네시아 시장

제17장 한국 시장

제18장 대만 시장

제19장 동남아시아 시장

제20장 서유럽 시장

제21장 영국 시장

제22장 독일 시장

제23장 프랑스 시장

제24장 이탈리아 시장

제25장 스페인 시장

제26장 동유럽 시장

제27장 러시아 시장

제28장 북미 시장

제29장 미국 시장

제30장 캐나다 시장

제31장 남미 시장

제32장 브라질 시장

제33장 중동 시장

제34장 아프리카 시장

제35장 시장 규제 상황 및 투자환경

제36장 경쟁 구도 및 기업 개요

제37장 기타 주요 기업 및 혁신 기업

제38장 세계 시장 경쟁 벤치마킹 및 대시보드

제39장 주요 인수합병(M&A)

제40장 시장 잠재력이 높은 국가, 부문 및 전략

제41장 부록

AJY

Artificial intelligence (AI) in food tech refers to the application of AI technologies to innovate and optimize various processes within the food industry. This includes automating tasks such as food production, processing, quality control, supply chain management, and personalized nutrition. AI is utilized for predictive analytics in demand forecasting, minimizing food waste, enhancing food safety, and improving customer experiences through customized recommendations and smart kitchen appliances.

The main components in the artificial intelligence (AI) in foodtech market are solutions and services. AI in foodtech solutions refer to the use of artificial intelligence technologies to develop and implement innovative approaches that improve efficiency, sustainability, and customer experience within the food industry. The various applications include food production and processing, product development and innovation, supply chain management, food safety and compliance, and others, with several end-users including food and beverage manufacturers, restaurants and food service providers, and others.

Tariffs are affecting the AI in foodtech market by increasing the costs of imported semiconductors, sensors, computing hardware, and industrial automation components used in AI-enabled food processing and monitoring systems. Food manufacturers and service providers in North America and Europe are particularly impacted due to their reliance on imported advanced electronics, while Asia-Pacific experiences pricing pressure on AI hardware exports. These tariffs are increasing implementation costs and delaying technology deployment timelines. However, they are also promoting localized AI development, regional hardware sourcing, and greater investment in domestic food technology innovation ecosystems.

The artificial intelligence (AI) in foodtech market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in foodtech market statistics, including artificial intelligence (AI) in foodtech industry global market size, regional shares, competitors with a artificial intelligence (AI) in foodtech market share, detailed artificial intelligence (AI) in foodtech market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in foodtech industry. This artificial intelligence (AI) in foodtech 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 foodtech market size has grown exponentially in recent years. It will grow from $8.61 billion in 2025 to $11.56 billion in 2026 at a compound annual growth rate (CAGR) of 34.3%. The growth in the historic period can be attributed to the increasing digitization of food processing operations, growing adoption of automation in food manufacturing, heightened focus on food safety compliance, expansion of organized food supply chains, and early adoption of AI analytics in demand planning.

The artificial intelligence (AI) in foodtech market size is expected to see exponential growth in the next few years. It will grow to $37.18 billion in 2030 at a compound annual growth rate (CAGR) of 33.9%. The growth during the forecast period can be attributed to increasing investments in AI-enabled foodtech platforms, growing demand for solutions focused on waste reduction, expanding applications of personalized nutrition, increasing use of AI robotics in food preparation, and greater integration of AI with smart appliances. Major trends during the forecast period include growing adoption of AI-driven food quality monitoring, increasing use of predictive analytics for demand forecasting, expanding deployment of smart kitchen automation, increasing adoption of AI-based supply chain optimization, and greater emphasis on personalized nutrition solutions.

The expansion of the food delivery business is anticipated to support the growth of artificial intelligence (AI) in the foodtech market going forward. The food delivery business refers to the industry segment that directly delivers prepared meals from restaurants, cafes, or other food establishments to customers' locations, including homes and offices. The food delivery business is expanding due to rising consumer demand for convenience, the increasing adoption of online ordering platforms, and the growing availability of delivery services offered by a broad range of restaurants and food providers. AI in food supports the food delivery business by optimizing delivery route planning, forecasting customer preferences for personalized recommendations, and automating order management to improve operational efficiency and reduce delivery times. For instance, in May 2024, according to the Economic Times, an India-based media company, during the first half of 2023, Swiggy (an India-based online food ordering and delivery platform) recorded a 17% year-on-year increase in gross merchandise value (GMV) in its food delivery business, reaching $1.43 billion. Therefore, the expansion of the food delivery business is driving the adoption of artificial intelligence (AI) in the foodtech market.

Key companies operating in the artificial intelligence (AI) in foodtech market are focusing on developing advanced solutions such as AI-powered ingredient discovery platforms to improve the speed and efficiency of new ingredient development. AI-powered ingredient discovery platforms utilize machine learning and extensive biological datasets to quickly identify natural proteins or molecules with desired functional properties for applications in food, agriculture, personal care, or materials. For example, in May 2024, Shiru Inc., a US-based protein discovery company, launched ProteinDiscovery.ai, the world's first marketplace and discovery platform for proteins with an AI-driven search, catalog, and licensing system. ProteinDiscovery.ai provides users with access to a database containing more than 33 million natural proteins from plants and microbes and enables companies to search, test, license, and purchase protein molecules for various applications. The platform supports the prediction of protein functionality and expression, substantially reducing research and development (R and D) timelines and costs. It supports applications such as identifying clean-label sweet proteins, highly stable proteins, or plant-based fat and texturizing proteins, and aims to accelerate the process from discovery to commercial product development.

In May 2024, GrubMarket, a US-based technology company, acquired Butter for an undisclosed amount. The acquisition will enable GrubMarket to utilize Butter's AI-powered e-commerce and payment technologies to broaden its range of innovative, AI-powered solutions developed for the food supply chain industry, while also enhancing the capabilities of its existing portfolio of advanced software products, including Grubassist AI and WholesaleWare, and strengthening its position as the enterprise AI solution provider for America's food supply chain industry. Butter is a US-based technology company that offers AI-enhanced sales tools designed to automate order entry processes.

Major companies operating in the artificial intelligence (AI) in foodtech market are Microsoft Corporation, Cargill Incorporated, International Business Machines Corporation, Oracle Corporation, SAP SE, NVIDIA Corporation, Zebra Technologies Corporation, TOMRA Systems ASA, Blue Yonder Group Inc., Grubhub Inc., Google DeepMind Technologies Limited, Rebel Foods, Tovala, Saffron Tech, Blue River Technology, Brightseed, Clear Labs Inc., Nutrino Health Ltd., FoodLogiQ, NotCo Ltd., AgShift, Zest Labs, ImpactVision

North America was the largest region in the artificial intelligence (AI) in foodtech market in 2025. The regions covered in the artificial intelligence (AI) in foodtech market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The artificial intelligence (AI) in foodtech market consists of revenues earned by entities by providing services such as predictive analytics, automated cooking systems, smart inventory management, personalized nutrition recommendations, and real-time food safety monitoring. 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 foodtech market also includes sales of smart kitchen appliances, automated food preparation machines, AI-driven inventory and supply chain management systems, and personalized nutrition apps. 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 Foodtech Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in foodtech 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.

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Where is the largest and fastest growing market for artificial intelligence (ai) in foodtech ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in foodtech 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Component: Solution; Services
  • 2) By Application: Food Production And Processing; Product Development And Innovation; Supply Chain Management; Food Safety And Compliance; Other Applications
  • 3) By End-User: Food And Beverage Manufacturers; Restaurants And Food Service Providers; Other End-Users
  • Subsegments:
  • 1) By Solution: AI-Based Food Quality Monitoring Systems; AI-Powered Predictive Analytics For Demand Forecasting; AI in Supply Chain Optimization; Smart Kitchen Solutions; AI For Personalization In Food Recommendations; Automated Food Processing And Packaging Systems; AI-Driven Food Safety Systems; AI-Powered Robotics For Food Preparation
  • 2) By Services: AI Consulting Services; AI Integration and Implementation Services; AI Training and Support Services; Managed Services For AI Systems; AI Data Analytics Services; AI Algorithm Customization Services; AI Testing And Quality Assurance Services
  • Companies Mentioned: Microsoft Corporation; Cargill Incorporated; International Business Machines Corporation; Oracle Corporation; SAP SE; NVIDIA Corporation; Zebra Technologies Corporation; TOMRA Systems ASA; Blue Yonder Group Inc.; Grubhub Inc.; Google DeepMind Technologies Limited; Rebel Foods; Tovala; Saffron Tech; Blue River Technology; Brightseed; Clear Labs Inc.; Nutrino Health Ltd.; FoodLogiQ; NotCo Ltd.; AgShift; Zest Labs; ImpactVision
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) In Foodtech Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) In Foodtech Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) In Foodtech Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) In Foodtech Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Industry 4.0 & Intelligent Manufacturing
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption Of Ai-Driven Food Quality Monitoring
    • 4.2.2 Rising Use Of Predictive Analytics For Demand Forecasting
    • 4.2.3 Growing Deployment Of Smart Kitchen Automation
    • 4.2.4 Expansion Of Ai-Based Supply Chain Optimization
    • 4.2.5 Enhanced Focus On Personalized Nutrition Solutions

5. Artificial Intelligence (AI) In Foodtech Market Analysis Of End Use Industries

  • 5.1 Food And Beverage Manufacturers
  • 5.2 Restaurants And Food Service Providers
  • 5.3 Cloud Kitchen Operators
  • 5.4 Food Retail Chains
  • 5.5 Food Technology Companies

6. Artificial Intelligence (AI) In Foodtech Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) In Foodtech Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) In Foodtech PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) In Foodtech Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) In Foodtech Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) In Foodtech Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) In Foodtech Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) In Foodtech Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Solution, Services
  • 9.2. Global Artificial Intelligence (AI) In Foodtech Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Food Production And Processing, Product Development And Innovation, Supply Chain Management, Food Safety And Compliance, Other Applications
  • 9.3. Global Artificial Intelligence (AI) In Foodtech Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Food And Beverage Manufacturers, Restaurants And Food Service Providers, Other End-Users
  • 9.4. Global Artificial Intelligence (AI) In Foodtech Market, Sub-Segmentation Of Solution, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI-Based Food Quality Monitoring Systems, AI-Powered Predictive Analytics For Demand Forecasting, AI in Supply Chain Optimization, Smart Kitchen Solutions, AI For Personalization In Food Recommendations, Automated Food Processing And Packaging Systems, AI-Driven Food Safety Systems, AI-Powered Robotics For Food Preparation
  • 9.5. Global Artificial Intelligence (AI) In Foodtech Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • AI Consulting Services, AI Integration and Implementation Services, AI Training and Support Services, Managed Services For AI Systems, AI Data Analytics Services, AI Algorithm Customization Services, AI Testing And Quality Assurance Services

10. Artificial Intelligence (AI) In Foodtech Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence (AI) In Foodtech Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) In Foodtech Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence (AI) In Foodtech Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) In Foodtech Market

  • 12.1. China Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) In Foodtech Market

  • 13.1. India Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) In Foodtech Market

  • 14.1. Japan Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) In Foodtech Market

  • 15.1. Australia Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) In Foodtech Market

  • 16.1. Indonesia Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) In Foodtech Market

  • 17.1. South Korea Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) In Foodtech Market

  • 18.1. Taiwan Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) In Foodtech Market

  • 19.1. South East Asia Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) In Foodtech Market

  • 20.1. Western Europe Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) In Foodtech Market

  • 21.1. UK Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) In Foodtech Market

  • 22.1. Germany Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) In Foodtech Market

  • 23.1. France Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) In Foodtech Market

  • 24.1. Italy Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) In Foodtech Market

  • 25.1. Spain Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) In Foodtech Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) In Foodtech Market

  • 27.1. Russia Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) In Foodtech Market

  • 28.1. North America Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) In Foodtech Market

  • 29.1. USA Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) In Foodtech Market

  • 30.1. Canada Artificial Intelligence (AI) In Foodtech Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) In Foodtech Market

  • 31.1. South America Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) In Foodtech Market

  • 32.1. Brazil Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) In Foodtech Market

  • 33.1. Middle East Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) In Foodtech Market

  • 34.1. Africa Artificial Intelligence (AI) In Foodtech Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) In Foodtech Market, Segmentation By Component, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) In Foodtech Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) In Foodtech Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) In Foodtech Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) In Foodtech Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) In Foodtech Market Company Profiles
    • 36.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Cargill Incorporated Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Oracle Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) In Foodtech Market Other Major And Innovative Companies

  • NVIDIA Corporation, Zebra Technologies Corporation, TOMRA Systems ASA, Blue Yonder Group Inc., Grubhub Inc., Google DeepMind Technologies Limited, Rebel Foods, Tovala, Saffron Tech, Blue River Technology, Brightseed, Clear Labs Inc., Nutrino Health Ltd., FoodLogiQ, NotCo Ltd.

38. Global Artificial Intelligence (AI) In Foodtech Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Foodtech Market

40. Artificial Intelligence (AI) In Foodtech Market High Potential Countries, Segments and Strategies

  • 40.1 Artificial Intelligence (AI) In Foodtech Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Artificial Intelligence (AI) In Foodtech Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Artificial Intelligence (AI) In Foodtech Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer
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