AI in Food Innovation Market Size to Hit USD 39.76 Biliion by 2034

AI in Food Innovation Market Size, Growth, and Trends 2025 to 2034

The global AI in food innovation market size is valued at USD 2.29 billion in 2025 and is projected to hit around USD 39.76 billion by 2034, growing at a CAGR of 37.3% during the forecast period from 2025 to 2034. The market is burgeoning in recent periods due to high demand for personalization, customization, automation, and enhanced demand for food safety. 

Last Updated: 05 December 2025 Category: Food and Beverages Processing Equipment and Technology Insight Code: 5946 Format: PDF / PPT / Excel

AI in Food Innovation Market Size 2025 to 2034

The global AI in food innovation market size was calculated at USD 1.67 billion in 2024 and is anticipated to increase from USD 2.29 billion in 2025 to reach around USD 39.76 billion by 2034, growing at a CAGR of 37.3% during the forecast period from 2025 to 2034. The market has been experiencing significant growth in recent times, driven by a surge in demand for personalization, customization, and automation. Additionally, there has been a notable increase in the emphasis on food safety, further fueling the industry's expansion.

AI in Food Innovation Market Size 2025 to 2034

Key Takeaways 

  • By region, North America led the AI in food innovation market with highest share in 2024.
  • By region, Europe is expected to grow in the foreseeable period. 
  • By technology/platform, the machine learning and predictive analytics segment dominated market in 2024.
  • By technology/platform, the AI-powered recipe and flavored development tools segment is expected to grow in the foreseeable period.
  • By application, the new product development & formulation optimization segment captured the maximum share in 2024.
  • By application, the nutritional and health-focused product innovation segment is expected to grow in the foreseen period. 
  • By service type, the AI software and platform solutions segment dominated market in 2024.
  • By service type, integration with IoT and smart manufacturing systems segment is expected to grow in the foreseen period. 
  • By end user, the food and beverage manufacturers segment led market in 2024.
  • By end user, the startups and SMEs in the food innovation segment are expected to grow in the foreseeable period. 
  • By deployment mode, the cloud-based solutions segment dominated market in 2024.
  • By deployment mode, the on-premises solutions segment is expected to grow in the foreseen period.
  • By distribution channel, direct to enterprise solutions segment led the AI in food innovation market in 2024.
  • By distribution channel, the B2B partnerships/collaborations segment is observed to grow in the foreseen period. 
  • By innovation focus, the health and functional food innovations segment dominated market in 2024.
  • By innovation focus, the sustainability-focused product innovation segment is expected to grow in the forecast period. 

AI in Food Innovation Market Industry Coverage

Study Coverage Details
Growth Rate from 2025 to 2034 CAGR of 37.3%
Market Size in 2025 USD 2.29 Billion
Market Size in 2026 USD 3.15 Billion
Market Size by 2034 USD 39.76 Billion
Largest Market North America
Base Year 2024
Forecast Period 2025 to 2034
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

What is AI in Food Innovation?

AI is a developing technology that is useful today in almost all segments. Advanced technology is helpful to understand, study, and analyze consumer demands and trends, which are helpful for food manufacturers. Advanced technology also helps food manufacturers and processors to understand consumer demands and suggest novel combinations and ingredient datasets helpful for the growth of the market. It also helps customization in nutrition development and tailored diet plans, further fueling the growth of the market. The technology also involves the use of sensors for real-time food safety and monitoring from the farm to the table journey. 

  • Industry Growth Overview- The AI in food innovation market is observing growth due to factors such as predictive analysis, enhanced food safety, product innovation, personalization, quality control, and lower wastage. 
  • Sustainability Trend- The market contributes towards sustainability with the help of advancements such as precision agriculture, supply chain management, predictive analysis for demand prediction, lower wastage, sustainable sourcing, and packaging. Such factors help to enhance the growth of the market.  
  • Major Investors- Nestle, Mars, Mondelez International, Coca-Cola, and Unilever are some of the major companies utilizing AI for food innovation and catering to the demands of consumers. 

Key Technological Shifts in AI in Food Innovation Market 

AI plays a major role in the growth of the food innovation market. The technologically advanced method helps to enhance food quality, aid product innovation, enhance personal customer experience, and drive efficiency as well. The technologically advanced procedure also helps to enhance the supply chain and cater to the demands of consumers, which is helpful for the growth of the market. AI also helps to save time and enhance quality during the food manufacturing procedure, which is helpful for the market’s growth. 

Value Chain Analysis in AI in Food Innovation Market

  • Agriculture and Farming

Use of technologically advanced methods such as smart irrigation, nutrient management, and harvest predictions is helping the market grow, enhance yields, and lower wastage.

  • Food Processing and Manufacturing

The technologically forward methods help to enhance the production lines, improve productivity, efficiency, and cost control. 

  • Supply Chain and Logistics

AI also helps to smooth the supply chain logistics, reduce wastage, and ensure optimum stock levels. Technology also helps in improving traceability to ensure complete food safety. 

  • Product Development and Consumer Insights

Technology is also useful in product innovation by introducing different types of flavors and textures, which is helpful for the market’s growth. AI also helps to suggest novel product and ingredient combinations to enhance market growth. 

  • Food Safety

Technology ensures that the food is safe from minute contaminants that might not be detected manually. Hence, it enhances safety and fuels the growth of the market. 

AI in Food Innovation Market Regional Insights

North America Dominated the AI in Food Innovation Market in 2024

North America led the AI in food innovation market due to advanced technology, enhanced food safety, and high demand for personalized consumer experiences. High usage of advanced technology for various aspects, such as product innovation, lowering wastage, predicting consumer behavior and trends, is further fueling the growth of market. Growing health-conscious consumers fueling demand for personalized functional food products is another major growth factor for the market in the region. 

U.S. AI in Food Innovation Market Trends

In the United States, the market for AI in food innovation covering food and beverage production, processing, supply-chain management, quality control, and personalized nutrition is rapidly expanding. AI’s impact spans the entire food value chain: optimizing manufacturing efficiency, reducing waste, enhancing food safety, enabling supply-chain logistics, and even powering recipe personalization and consumer-centered product development.

Europe is Expected to Grow at Fastest Rate in the Market During the Foreseen Period

As the region focuses on various aspects such as farm-level optimization, new product development, personalized consumer experiences, and major investments from different startups. Hence, the region is observed to grow in the foreseen period. The region also utilizes predictive analysis to enhance product innovation and cater to the growing demands of the consumer. 

Germany AI in Food Innovation Market Trends

In Germany, AI is increasingly shaping food innovation across production, supply-chain, nutrition, and sustainability trends. AI-powered solutions are also being used in smart agriculture and agritech to optimize resource use, improve crop yields and reduce waste, supporting Germany’s push toward more sustainable and efficient food systems.

Asia Pacific Expects Significant Growth During the Predicted Period

Driving this surge are factors such as urbanization, rising incomes, and a growing middle class, which increase demand for safer, higher-quality, personalized and convenient food products. Within food production and processing, AI is widely used for quality control, safety inspection, automation, robotics, supply-chain optimization and demand forecasting helping producers meet regulatory pressures, reduce waste, and improve efficiency

India AI in Food Innovation Market Trends

In India, AI is gradually reshaping food production, processing, and supply-chain operations. Government and industry initiatives are promoting AI and automation in the food-processing sector boosting efficiency, reducing waste, ensuring quality control, and improving food safety. Many food-processing plants are increasingly adopting smart technologies, IoT sensors, computer vision and robotics to automate tasks such as sorting, grading, packaging, and hygiene compliance. 

Middle East and Africa Seen a Notable Growth in the Market

In the Middle East and Africa, AI is gradually transforming food innovation by improving production, supply chain management, food safety, and waste reduction. In Gulf countries such as the United Arab Emirates (UAE), Saudi Arabia and Qatar food security initiatives and modernization of food supply infrastructure are accelerating adoption of AI driven traceability, quality control, and supply chain systems.

UAE AI in Food Innovation Market Trends

In the United Arab Emirates (UAE), AI is rapidly reshaping the food innovation landscape from farms to factories to fine dining under the push of national strategies and rising demand for efficiency, safety, and personalization. Government and regulatory agencies such as Abu Dhabi Agriculture & Food Safety Authority (ADAFSA) are using AI and cloud based systems for food safety monitoring, sustainable agriculture, and supply chain traceability ADAFSA even became the world’s first agri food body to earn an ISO certification for AI management.

South America Seen a Significant Growth in the Market

In South America, AI is starting to transform the food and beverage market though adoption is still modest, growth prospects are promising. Much of this AI uptake is driven by large agricultural exporters and food processing companies especially in countries like Brazil and Argentina leveraging AI for smarter quality control, supply chain traceability, and efficiency improvements to meet global standards.

Brazil AI in Food Innovation Market Trends

In Brazil, AI is increasingly transforming food innovation especially across agriculture, food processing, supply chain, and consumer facing segments. Many farms and agribusinesses use AI and automation including sensors, satellite imagery and data driven platforms to improve crop yields, optimise irrigation and fertilizer use, monitor soil and weather conditions, and reduce waste.

AI in Food Innovation Market Segmental Insights

Technology/Platform Insights

Which Technology/Platform Dominated The AI In Food Innovation Market In 2024?

The machine learning and predictive analytics segment dominated market, as the segment provides future insights essential for the growth of a food manufacturing business. The segment utilizes algorithms and data analysis to predict future consumer demands to enhance product development and streamline supply chain operations for an efficient and sustainable approach. 

The AI-powered recipe and flavor development tools segment is expected to grow in the foreseen period, as the segment helps to analyze the consumer demand, ingredient data, and identify novel combinations helpful to enhance consumer health as well. Hence, the procedure also helps to save R&D time and costs. It also helps companies to develop unique flavor profiles of their food products as per the consumer demands, which is helpful for the growth of the market. 

Application Insights

Which Application Dominated The AI In Food Innovation Market In 2024?

The new product development and formulation optimization segment dominated the AI in food innovation market, as advanced technology is helpful to bring the required changes and transformation in the food and beverage industry with lightning speed and accuracy. With the help of data analytics and trends, advanced technology helps to detect future consumer preferences and allows food manufacturers to make required changes in the recipes and ingredients as per consumer demand for lowered wastage and growth of market. 

The nutritional and health-focused product innovation segment is expected to grow in the foreseeable period due to rising health-conscious consumers, leading to demand for food products high in nutrition. AI platforms help to analyze consumer demand in the future with the help of predictive analysis and suggest product ingredients and methods helpful for the preparation of health-focused products, ideal for the growth of on market in the foreseeable period. 

Service Type Insights

Why Did The AI Software And Platform Solutions Segment Dominated The AI In Food Innovation Market In 2024?

The AI software and platform solutions segment dominated the AI in food innovation market, aiding in greater efficiency, personalization, and enhanced safety. The segment focuses on the use of AI-powered tools and platforms helpful for food production, supply chain management, safety personalization, and the growth of the market. The segment also focuses on consumer preferences to suggest the best dataset of recipes and flavors helpful to enhance the growth of the market. 

Integration with IoT and smart manufacturing systems segment is expected to grow in the foreseeable period, as the segment is extremely important for the growth of the market. The segment highlights the importance of AI in food manufacturing as per consumer preferences in the future, lower wastage, enhanced supply chain management, and maintaining quality control as well. Hence, the segment plays a crucial role in the market’s growth. 

End User Insights

Why Did The Food And Beverage Manufacturers Segment Dominated The AI In Food Innovation Market In 2024?

The food and beverage manufacturers segment led the market due to the utilization of AI for various purposes, such as product innovation, enhancing food safety, and understanding consumer preferences for an ideal data set of food ingredients and novel food combinations. Advanced technology also helps to improve efficiency and lower food wastage, which is helpful for the growth of the market. 

Startups and SMEs in the food innovation segment are expected to grow in the foreseeable period as they utilize AI for better food innovation, its development, and to identify consumer preferences. Such data helps the startups in manufacturing food options that are demanded by consumers in the future, as per their preferences. It helps them to compete with huge and established brands in the market and fuel the growth of market in the foreseeable period as well. 

Deployment Mode Insights

Why Did The Cloud-Based Solutions Segment Dominated The AI In Food Innovation Market In 2024?

Cloud-based solutions segment led the market with the help of IoT and other technologically advanced platforms for the growth of the market. Such platforms help the food manufacturers to predict consumer demand in the future for ideal product innovation. The segment also focuses on precision agriculture, quality control, and generative AI for enhanced improvement of the AI in food innovation market. 

The on-premise solutions segment is expected to grow in the foreseeable period due to its immediate quality control actions within the food manufacturing and serving premises, which are helpful for the growth of the market. The segment also helps with data control and customization, which is helpful to manage costs and fuel the market’s growth. Such solutions are an essential alternative to applications and software programs with recurring technical issues and problems that may hamper the market’s growth. 

Distribution Channel Insights

Why Did The Direct To Enterprise Solutions Segment Dominated The AI In Food Innovation Market In 2024?

Direct-to-enterprise solutions segment led market as the segment provides customized solutions in the form of applications to enterprises rather than individual consumers. The segment also focuses on food and beverage manufacturers, retailers, and processors, to improve safety, efficiency, and product development, which is helpful for the growth of the market. 

The B2B partnerships/collaborations segment is expected to grow in the foreseen period as the segment highlights the importance of collaboration between technology providers and food-sector businesses. Such collaborations are helpful to improve food safety, efficiency, and product development. In such situations, AI plays a major role in enhancing quality control, optimizing supply chains, and enabling novel product creation, which is helpful for the growth of market. 

Innovation Focus Insights

Why Did The Health And Functional Food Innovation Segment Dominated The AI In Food Innovation Market In 2024?

The health and functional food innovation segment led the market, helping the food manufacturers to enhance the nutritional levels of functional foods, which is helpful for the growth of the market. The segment also helps the manufacturers to meet the growing consumer demand and cater to them as well. It also highlights the growing demands of health-conscious consumers, being the huge base for the segment. 

The sustainability-focused product innovation segment is expected to grow in the foreseeable period as the segment helps in product innovations to maintain sustainability, lower wastage, and create resilient food systems. The segment also enhances the importance of environmental balance and a lower carbon footprint. 

Recent Developments in the AI in Food Innovation Market

  • In September 2025, Starday, an AI-driven product innovation platform, announced the launch of Starday Innovation, a strategic partnership for food and beverage teams. (Source: businesswire.com)
  • In April 2025, Lufthansa Group developed an innovative AI-supported solution named ‘Tray Tracker’ to measure and reduce onboard meal returns. Technology helps to save time and lower food wastage. (Source: futuretravelexperience.com)

Top Companies of AI in Food Innovation Market

  • Nestle- The brand uses AI for enhanced quality control and makes its products resilient to climate change.
  • Unilever- Uses AI for trend analysis and to optimize product quality to maintain customer trust.
  • Coca-Cola- Uses AI for demand logistics and product optimization. The brand also uses AI for enhanced inventory management. 

Other Major Companies

  • IBM Food Trust / IBM Watson AI
  • TetraScience (food & beverage AI solutions)
  • NotCo
  • Plant Jammer
  • Spoonshot
  • Brightseed
  • BASF Digital Farming / Food Innovation AI
  • Cortexica Vision Systems (food R&D AI)
  • Tastewise
  • Nuritas
  • FoodPairing
  • Givaudan (AI-powered flavor innovation)
  • PepsiCo (AI-enabled food R&D)
  • Nestlé (AI-driven product innovation labs)
  • Kraft Heinz (AI for consumer insights & innovation)

Segments Covered in the Report 

By Technology / Platform

  • Machine Learning & Predictive Analytics
  • Big Data Analytics & Insights
  • AI-powered Recipe & Flavor Development Tools
  • Computer Vision & Quality Inspection Systems
  • Automation & Robotics in Food R&D

By Application

  • New Product Development & Formulation Optimization
  • Flavor & Taste Profiling
  • Nutritional & Health-focused Product Innovation
  • Supply Chain & Ingredient Sourcing Optimization
  • Consumer Preference Analysis & Market Insights

By Service Type

  • AI Software & Platform Solutions
  • Consulting & R&D Services
  • Data Analytics & Consumer Insights Services
  • Integration with IoT & Smart Manufacturing Systems

By End-User

  • Food & Beverage Manufacturers
  • Startups & SMEs in Food Innovation
  • Research & Development Institutes
  • Retail & Foodservice Companies
  • Ingredient & Flavor Companies

By Deployment Mode

  • Cloud-based Solutions
  • On-premise Solutions

By Distribution Channel

  • Direct-to-Enterprise Solutions
  • B2B Partnerships / Collaborations
  • Online / Platform-based Access

By Innovation Focus

  • Health & Functional Food Innovation
  • Flavor & Sensory Enhancement
  • Sustainability-focused Product Innovation
  • Convenience & Ready-to-Eat Product Development

By Region

  • North America
  • Europe
  • Asia Pacific
  • MEA
  • Latin America
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  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2023
  • Base Year: 2024
  • Estimated Years: 2025-2034

Meet the Team

Vidyesh Swar, Senior Research Analyst at Towards Food & Beverages, specializes in market research, focusing on supply-demand evaluation, pricing analysis, alternative proteins, plant-based foods, and sustainable food technologies within the industry.

Learn more about Vidyesh Swar

Aditi Shivarkar, with 14+ years in Food and Beverages market research, specializes in food, beverage, and eco-friendly packaging. She ensures accurate, actionable insights, driving Towards FnB's excellence in industry trends and sustainability.

Learn more about Aditi Shivarkar

Related Insights

FAQ's

The AI in food innovation market size valued at USD 2.29 Bn in 2025 and is projected to reach USD 39.76 Bn by 2034, growing at a 37.3% CAGR. The rapid expansion is fueled by rising demand for personalization, automation, and advanced food safety systems.

Major trends include hyper-personalization, predictive analytics, automation, flavor innovation, and AI-enabled sustainability such as waste reduction and smart sourcing. These trends are reshaping manufacturing and product development cycles.

AI identifies emerging consumer preferences, models ingredient interactions, and accelerates formulation cycles. This enables faster, more accurate product development with reduced R&D costs and minimized risk of product failure.

Food and beverage manufacturers are the primary adopters, using AI for quality control, safety, and product innovation. Startups and SMEs are emerging fast adopters, leveraging AI to compete with legacy brands through speed and precision.

North America currently leads in adoption due to technological maturity and strong demand for personalized nutrition. Europe and Asia-Pacific offer high-growth potential driven by sustainability mandates, urbanization, and rapid digitization of food processing.

AI-based computer vision systems detect contaminants and defects more accurately than manual inspections. Sensors, IoT, and real-time monitoring enhance traceability and safety from farm to fork, reducing recalls and compliance risks.

Barriers include high implementation costs, data privacy concerns, limited digital infrastructure in emerging markets, and workforce skill gaps. However, cloud-based solutions are reducing upfront investments and accelerating adoption.

The sector offers strong opportunities across AI software platforms, flavor and nutrition modeling, agritech, smart manufacturing, and food safety automation. With a 37.3% CAGR, investor activity is expected to intensify across B2B tech providers and AI-powered food startups.

Major trends include hyper-personalization, predictive analytics, automation, flavor innovation, and AI-enabled sustainability such as waste reduction and smart sourcing. These trends are reshaping manufacturing and product development cycles.