AI in Food Safety Market to Hit USD 68.80 Billion by 2034, Growing at 25.2% Annually | Towards FnB

According to Towards FnB, the global AI in food safety market size is calculated at USD 9.10 billion in 2025 and is expected to hit USD 68.80 billion by 2034, growing at a remarkable CAGR of 25.2% from 2025 to 2034. This impressive growth is driven by increasing adoption of AI technologies in food production to improve safety, streamline processes, and reduce contamination risks.

Ottawa, Oct. 07, 2025 (GLOBE NEWSWIRE) -- The global AI in food safety market size was valued at USD 7.27 billion in 2024 and is predicted to increase from USD 9.10 billion in 2025 to reach nearly USD 68.80 billion by 2034, expanding at a CAGR of 25.2% from 2025 to 2034, according to study published by Towards FnB, a sister firm of Precedence Research.

The market is burgeoning in recent periods due to high demand for real-time food safety and monitoring, which is helpful for the growth of the market. High demand for AI-powered inspection, traceability systems, and growing regulatory emphasis, to ensure smooth food chain supply, is helpful for the growth of AI in food safety market.

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Key Highlights of AI in Food Safety Market

By region, North America dominated the AI in food safety market with highest share of 35% in 2024, whereas the Asia Pacific is expected to grow in the foreseeable period.
By offering, the solutions segment led the market with largest share of 65% in 2024, whereas the services segment is expected to grow with the highest CAGR in the foreseen period.
By solution type, the inspection and monitoring system segment captured the maximum share of 50% in 2024, whereas the traceability and provenance platforms segment is expected to grow in the forecast period.
By component/product element, the hardware segment led the market with largest share of 50% in 2024, whereas the software platforms segment is expected to grow in the expected timeframe.
By deployment, the cloud-hosted SaaS segment captured the maximum share of 55% in 2024, whereas the hybrid segment is expected to grow in the foreseen period.
By end user, the food manufacturers and processors segment led market with highest share of 60% in 2024, whereas the food retailers and supermarket chains segment is expected to grow in the expected timeframe.

Rising Automation is helpful in the Growth of AI in Food Safety

Use of AI in the food safety market involves the use of advanced technology for enhancing food safety, smooth supply chain management, streamlining food sourcing, and aiding in product innovation and development as well. Technological factors such as predictive analytics also help in detecting food contamination and enhancing food safety measures, which is further helpful for the growth of the market. The technological measures also help to lower food wastage, manage operational costs, and improve recipe formulations, further enhancing the growth of the market. It also helps to lower human intervention for accurate measures and performances of the software segment, enhancing food safety, lowering food-borne illnesses, and fueling the growth of the market.

Recent Developments in AI in Food Safety Market

In March 2025, TraceGains, a leading provider of quality solutions for the F&B industry, announced the launch of its new Intelligent Document Processing (IDP) solution to streamline the processing of Certificates of Analysis (COA) and enhance material compliance and lot-level ingredient quality control. (Source- https://www.newfoodmagazine.com)
In September 2025, The Tomra launched its first machine, ‘The Tomra 4C’, to allow packers and processors to run multiple forms of artificial intelligence – including LUCAi Deep Learning and traditional machine learning – in tandem. The technologies offer adaptability and new opportunities for food sorting operations. (Source- https://thepackman.in)

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New Trends of AI in Food Safety Market

Advanced technology helps to lower wastage and ensure a lower carbon footprint, contributing to the growth of AI in food safety market.
The technological advancement also helps in enhanced traceability and food safety management, which is essential for the market’s growth.
Use of IoT and AI for real-time monitoring, predictive analytics, and maintaining food supply chain also enhances the growth of the market.

Top Products in the AI in Food Safety Market

Product Category	Key Functions / Examples	Core Benefits	Applications in Food Safety
AI-Powered Food Contaminant Detection Systems	Machine vision & hyperspectral imaging tools	Detects pathogens, toxins, and foreign materials in real-time	Food processing lines, quality inspection, and packaging
Predictive Analytics Platforms	AI algorithms analyzing historical & real-time data	Predicts contamination risks, spoilage, or equipment failure	Hazard analysis, preventive control, supply chain management
Smart Sensors & IoT Monitoring Devices	AI-integrated temperature, humidity, and pH sensors	Enables continuous monitoring of critical control points	Cold chain management, storage, and transportation
AI-based Traceability Systems	Blockchain + AI-powered tracking software	Enhances supply chain transparency and recalls traceability	Farm-to-fork tracking, compliance audits
Automated Visual Inspection Systems	Computer vision for visual defect and hygiene checks	Identifies defective products, labeling errors, and sanitation issues	Packaging lines, sorting facilities
AI-enabled Microbial Testing & Diagnostics	Machine learning algorithms for DNA sequencing, biosensors	Faster detection of foodborne pathogens and spoilage microbes	Laboratories, food testing centers
Robotics & Automation for Sanitation	Autonomous cleaning and hygiene robots	Reduces contamination risk, ensures consistent sanitation	Food manufacturing plants, processing areas
AI-based Quality Grading Systems	Deep learning image recognition	Grades fruits, vegetables, and meat quality objectively	Processing plants, retail distribution centers
AI-driven Supply Chain Risk Management Tools	Predictive models for supplier risk, climate impacts	Improves sourcing safety and quality assurance	Procurement, logistics, supplier compliance
Digital Food Safety Compliance Platforms	AI-powered dashboards integrating IoT and HACCP data	Automates compliance documentation and alerts	Food safety audits, certification processes

Use of AI for Food Safety in Different Countries

US- The U.S. Food and Drug Administration (FDA) has deployed an AI assistant named "Elsa" to help regulators evaluate safety reports, identify inconsistencies, and accelerate recall responses. Companies like Tyson Foods and PepsiCo use AI-powered vision systems to inspect products for defects on the production line, to ensure consistency and safety.
China- Yum China utilizes a suite of AI-powered systems, including "iFS" for risk assessment and "eQA" for online quality management, to oversee its supply chain from the farm to the customer. A few restaurants in China utilize AI-powered robotic arms for meal preparation, controlling oil temperature, and enhancing food safety.
Europe- The EFRA EU project has developed AI-driven algorithms that can analyze multilingual, heterogeneous data sources such as scientific papers and social media to mine for and process potential food safety risks. The EU is also supporting AI-based sensors management and manufacturing financially to ensure the safety of fresh produce from pesticides, and to enhance the level of agricultural exports.

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AI in Food Safety Market Dynamics

What are the Growth Drivers of AI in Food Safety Market?

Factors such as enhanced safety of the food industry, easy contamination detection, transparency, efficiency, traceability, and integrity, and lowered wastage and operational costs, help to enhance the growth of the market. The improved technology also helps to lower the chances of foodborne illnesses, further enhancing the growth of the market. Predictive analysis to ensure complete food safety, easy contamination detection, and improved quality control also helps the growth of the market in the foreseeable period. The advanced technology also aids in streamlining documentation and real-time monitoring, which is helpful for regulatory adherence and the growth of the market.

Challenge

Inappropriate Data Quality is damaging the Growth of the Market

Lower data quality and scarcity are some of the major issues faced in the growth of AI in food safety market. Insufficient and inappropriate data may not allow AI data sets to get the right information and aid the growth of the market. Various other factors, such as high initial investment, data integration and privacy, and lack of skilled labor, are also some of the major factors obstructing the growth of the market.

Opportunity

High Demand for Personalized Food Safety is helpful for Market’s Growth.

High demand for increased nutrition solutions and personalized food safety is one of the major opportunities for the growth of AI in food safety market. AI helps in personalized food safety by implementing real-time, data-driven food safety protocols, creating personalized food recommendations, and providing scalable solutions for analyzing individual health data. AI also helps to manage huge datasets seamlessly, provide tailored insights, and ensure food safety, which is helpful for the growth of AI in food safety market.

AI in Food Safety Market - Value Chain Analysis

Raw Material Procurement

AI is transforming raw material procurement in the food safety market by optimizing the sourcing and evaluation of food products. This process ensures that only safe, high-quality ingredients are selected, minimizing contamination risks across the supply chain.

Packaging and Branding

Packaging solutions in AI-driven food safety ensure products remain stable, fresh, and safe by protecting them from contamination, moisture, and light. Smart packaging technologies enhance traceability and ensure compliance with safety regulations.

Waste Management and Recycling

AI plays a vital role in waste management by automating the identification of rejected batches and leftover materials like sweeteners and flavors. These technologies help reduce food waste, optimize recycling, and improve overall sustainability in food safety processes.

AI in Food Safety Market Regional Analysis

North America led the AI in Food Safety Market in 2024

North America dominated the AI in food safety market in 2024 because of the factors such as the increasing strong regulatory frameworks, increasing robust ecosystem of research institutions and AI startups, rising advanced technological infrastructure, increasing strong regulatory environment, increasing demand for safety and transparency, complex global supply chains, and increasing prevalence of foodborne illnesses. Countries like the US and Canada play a major role in the growth of the market in the region with the help of technologies such as AI, ML, and IoT.

Asia Pacific is expected to grow in the forecast period.

Asia Pacific is expected to grow in the foreseen period due to factors such as high demand for transparency, safety, and the use of AI-driven tools, which are helpful to enhance food safety, along with fueling the growth of the market. Rising disposable income, strict government regulations, and improved technology for enhanced food safety are other major factors for the growth of AI in food safety market. Countries such as India, China, Japan, and South Korea play a major role in the growth of the market in the region in the foreseeable period. China further enhances the growth of the market with the help of government-backed AI initiatives.

AI in Food Safety Market Report Scope

Report Attribute	Key Statistics
Base Year	2024
Forecast Period	2025 to 2034
Growth Rate from 2025 to 2034	CAGR of 25.2%
Market Size in 2025	USD 9.10 Billion
Market Size in 2026	USD 11.40 Billion
Market Size by 2034	USD 68.80 Billion
Dominated Region	North America
Fastest Growing Region	Asia Pacific
Regions Covered	North America, Europe, Asia-Pacific, Latin America and Middle East & Africa

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AI in Food Safety Market Segmental Analysis

Offering Analysis

The solutions segment dominated the AI in food safety market in 2024, as the segment helps to enhance food safety with the help of technological advancements, which are helpful for the growth of the AI in food safety market. Proactive contamination detection, real-time monitoring, and automating inspections are all helpful for greater efficiency, reduced risk, improved traceability, and further fueling the growth of the market.

Such solutions also help in data-driven decision making, enhance consumer trust with the help of transparency, and also help to avoid foodborne illness to ensure a smooth supply chain. Greater speed and accuracy compared to manual management further help the growth of the market.

The services segment is expected to grow in the foreseen period as they play a vital role in the detection of contaminants, and also aid smooth supply chains, real-time quality monitoring, and reduced waste for preventing outbreaks. AI helps to study and analyze huge data sets, which is further helpful for biological, physical, and chemical hazards, and helpful for the growth of the market in the foreseeable period.

Solution Type Analysis

The inspection and monitoring systems segment dominated the AI in food safety market in 2024, as the segment provides continuous, accurate, and real-time monitoring, helpful for the detection of contaminants, which is essential for food safety. The segment also highlights the importance of traceability done with the help of AI-monitored tools and software, which is essential to ensure the safety of the food and beverage industry. The technology also helps in predictive analysis of any issues about to happen in the future and fix them in time, further fueling the growth of the market. Various other advantages, such as enhanced consumer trust, lowered wastage, lower chances of foodborne illnesses, and other similar advantages, are helpful for the market’s growth.

The traceability and provenance platforms segment is observed to grow in the foreseen period as it may help to transform the food safety industry by enabling transparent supply chains, proactive risk management, faster contamination detection, and real-time monitoring, which is helpful for the growth of AI in food safety market in the foreseen period. Such factors help to reduce foodborne illness waste, fraud, and outbreaks as well. Such systems also aid in providing rapid alerts for recalls, identifying the source of problems, and predicting issues with the help of IoT sensors.

Component/Product Element Analysis

The hardware segment led the AI in food safety market in 2024 as the segment provides an array of benefits in the food safety sector, such as improved hygiene and compliance, predictive analytics and risk management, improved automation and error reduction, enhanced transparency and traceability, and advanced detection and monitoring. By ensuring lower human error, the segment also helps in predictive analytics for enhanced risk management and contamination detection. Such factors help to fuel the growth of the market in the foreseen period.

The software platforms segment is expected to grow in the foreseen period as the segment helps to enhance food safety by allowing enhanced traceability, automated contamination detection, predictive risk assessment, and real-time monitoring. Technologies such as computer vision and machine learning help to detect huge amounts of data from images, text, and sensors, enhancing the growth of the market in the foreseen period. The systems also help to enhance supply chain, optimize quality control, and prevent food fraud and foodborne illness outbreaks, which is helpful for the growth of the market in the foreseeable period.

Deployment Analysis

The cloud-hosted Saas segment dominated the AI in food safety market in 2024, as the segment provides scalable and accessible platforms for sharing, analyzing, and collecting huge datasets from across the complicated food supply chain. Some of the major benefits of cloud-hosted Saas, such as accessibility and scalability, centralized data management, predictive analytics and real-time insights, reduced waste and cost, improved decision making, and enhanced automation and efficiency, further fuel the growth of the market.

The hybrid segment is expected to grow in the foreseen period as the segment enables AI systems to achieve reliability, adaptability, and greater precision, thereby enhancing resilience, transparency, and efficiency. The segment also ensures enhanced efficiency and reduced food waste, real-time contamination detection, improved traceability, increased adaptability and accuracy, and enhanced predictive capabilities, further fueling the growth of the market in the foreseen period.

End User Analysis

The processing and manufacturing segment dominated the AI in food safety market in 2024, allowing preventive and predictive measures via data analysis and real-time monitoring, optimizing processes, enhancing traceability across the food chain, and automating quality control to reduce human error and waste. Such factors help to enhance the growth of the market and ensure complete food safety by lowering human intervention.

The food retailers and supermarket chains segment is expected to grow in the foreseeable period, as the segment enables analyzing consumer complaints, real-time monitoring, and predictive inventory management, which are essential for the market’s growth. Retailers can ensure compliance with enhanced food traceability and safety regulations by adopting AI, further fueling the growth of AI in food safety market in the foreseeable period.

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Additional Topics Worth Exploring:

Gluten Free Food Market: The global gluten free food market size increasing from USD 14.25 billion in 2025 and is expected to surpass USD 33.59 billion by 2034, with a projected CAGR of 10% during the forecast period from 2025 to 2034.
Canned Wines Market: The global canned wines market size is expected to increase from USD 127.88 million in 2025 to USD 332.46 million by 2034, growing at a CAGR of 11.2% throughout the forecast period from 2025 to 2034.
Plant-Based Protein Market: The global plant-based protein market size is projected to expand from USD 20.33 billion in 2025 and is expected to reach USD 43.07 billion by 2034, growing at a CAGR of 8.7% during the forecast period from 2025 to 2034.
Sugar-Free Food Market: The global sugar-free food market size is expected to grow from USD 48.14 billion in 2025 to USD 83.2 billion by 2034, growing at a CAGR of 6.27% during the forecast period from 2025 to 2034.
Vegan Food Market: The global vegan food market size is anticipated to grow from USD 22.38 billion in 2025 to USD 55.88 billion by 2034, with a CAGR of 10.7% during the forecast period from 2025 to 2034.
Herbal Tea Market: The global herbal tea market size is forecasted to expand from USD 4 billion in 2025 to USD 5.36 billion by 2034, growing at a CAGR of 3.3% during the forecast period from 2025 to 2034.
Fruit Juice Market: The global fruit juice market size is forecasted to expand from USD 165.56 billion in 2025 and is predicted to hit around USD 229.59 billion by 2034, growing at a CAGR of 3.7% during the forecast period from 2025 to 2034.
Beverage Packaging Market: The global beverage packaging market size is projected to reach USD 271.80 billion by 2034, growing from USD 173.71 billion in 2025, at a CAGR of 5.1% during the forecast period from 2025 to 2034.
Dairy Free Products Market: The global dairy free products market size is projected to reach USD 79.17 billion by 2034, growing from USD 33.03 billion in 2025, at a CAGR of 10.20% during the forecast period from 2025 to 2034.
Snack Food Market: The global snack food market size is calculated at USD 265.95 billion in 2025 and is forecasted to reach around USD 468.76 billion by 2034, growing at a CAGR of 6.50%throughout the forecast period from 2025 to 2034.

Top Companies in the AI in Food Safety Market

TOMRA Food – Develops AI-powered optical sorting and inspection systems for detecting contaminants and ensuring food quality.
Marel – Provides smart food processing solutions with integrated AI and machine vision for hygiene, grading, and traceability.
Bühler Group – Swiss technology company using AI, IoT, and digital twin models for food contamination detection and process optimization.
Key Technology – Specializes in AI-driven optical sorting, defect detection, and food product inspection systems.
Duravant – Offers automation and processing equipment incorporating AI-based inspection and packaging quality control.
Mettler-Toledo International – Supplies precision instruments and AI-based contamination detection and weighing systems for food safety.
Thermo Fisher Scientific – Provides AI-enhanced analytical instruments for microbial testing, contamination detection, and quality assurance.
PerkinElmer – Develops AI-powered lab testing platforms for detecting chemical, microbial, and environmental contaminants in food.
Neogen Corporation – Offers AI-integrated food pathogen testing and predictive analytics for food safety risk management.
3M Food Safety – Supplies AI-compatible microbiological testing kits and data-driven pathogen detection systems.
Heat and Control – Designs AI-supported processing and inspection systems for cooking, coating, and packaging lines.
GEA Group – Provides automated food processing and sanitation systems with AI for contamination prevention and hygiene optimization.
ABB – Integrates AI robotics and automation for hygienic food handling, real-time monitoring, and contamination control.
Rockwell Automation – Develops AI-based industrial control and monitoring platforms for predictive food safety management.
Siemens – Offers industrial AI and digital twin solutions for food production safety, automation, and traceability.
Shimadzu Corporation – Provides analytical instruments enhanced with AI algorithms for rapid food contaminant analysis.
Agilent Technologies – Supplies AI-powered laboratory instruments for chemical residue, microbial, and allergen testing.
Clear Labs – U.S. startup using AI and next-generation sequencing (NGS) for genomic food safety and pathogen identification.
Cognex Corporation – Leader in AI-based machine vision and barcode reading systems for food packaging and defect detection.
Keyence Corporation – Provides AI-enabled sensors and machine vision systems for food inspection and contamination prevention.

Segments Covered in the Report

By Offering

Solutions
Services

By Solution Type

Inspection & Monitoring Systems (vision-based sorting, X-ray/metal-detect, hyperspectral inspection)
Pathogen & Microbial Detection Platforms (AI-assisted genomic analysis, rapid-test integration)
Contaminant & Foreign Object Detection (glass, plastic, stone, metal detection)
Allergen Detection & Management Systems
Traceability & Provenance Platforms (blockchain-enabled)
Predictive Quality & Shelf-life Prediction Engines
Process Control & Optimization Solutions
Compliance, Audit & Recall Management Solutions
Waste Reduction & Yield Optimization Tools

By Component/Product Element

Hardware (cameras, sensors, spectrometers, inline X-ray, robotics)
Software Platforms (cloud or on-prem analytics dashboards)
Integration & Middleware (connectors to MES/ERP/LIMS)

By Deployment Mode

Cloud-hosted SaaS
On-premise Appliance / Server
Hybrid (edge + cloud)

By End-user/Buyer Type

Food manufacturers & processors
Food retailers & supermarket chains
Foodservice operators & QSR chains
Third-party testing & analytical labs

By Region

North America

U.S.
Canada

Asia Pacific

China
Japan
India
South Korea
Thailand

Europe

Germany
UK
France
Italy
Spain
Sweden
Denmark
Norway

Latin America

Brazil
Mexico
Argentina

Middle East and Africa (MEA)

South Africa
UAE
Saudi Arabia
Kuwait

Thank you for exploring our insights. For more targeted information, customized chapter-wise sections and region-specific editions such as North America, Europe, or Asia Pacific—are also available upon request.

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About Us

Towards FnB is a global consulting firm specializing in the food and beverage industry, providing innovative solutions and expert guidance to elevate businesses. With an in-depth understanding of the dynamic F&B sector, we deliver customized market analysis and strategic insights. Our team of seasoned professionals is committed to empowering clients with the knowledge needed to make informed decisions, ensuring they stay ahead of market trends. Partner with us as we redefine success in the rapidly evolving food and beverage landscape, and together, we’ll navigate this transformative journey.

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