食品安全および品質管理におけるAI市場

Report Scope

The report comprehensively analyzes the global AI market in food safety and quality control. It highlights its transformative impact and rapidly expanding role across the food value chain. It presents detailed insights into the historical, current and projected market size from 2024 to 2030. The report’s scope includes an in-depth analysis by technology, application, deployment mode, end-use industry and region.

Regional analysis covers North America, Europe, Asia-Pacific, the Middle East and Africa and South America, along with specific growth drivers and future projections. The deployment mode segment covers cloud-based, on-premises and hybrid subsegments. By application, the report explores the use of AI in food safety monitoring, quality control and inspection, contaminant detection, traceability and recall management, compliance and reporting, and other applications. From a technological standpoint, it evaluates the market contributions of machine learning (ML), computer vision, natural language processing (NLP) and robotics and automation. It also examines adoption across key industry segments such as meat, poultry and seafood, processed food and beverages, dairy products, fruit and vegetables and other end-use industries.

The report outlines strategic recommendations for stakeholders, including food manufacturers, technology providers and regulators, emphasizing the importance of investing in AI not just for regulatory compliance but also to achieve operational excellence, enhance sustainability and build long-term competitiveness. It also explores future market directions, such as the rise of autonomous food systems, digital twin technology, hyper-personalized nutrition and interconnected AI ecosystems. Overall, the report serves as a strategic guide for businesses, investors and policymakers aiming to harness the potential of AI to revolutionize food safety and quality assurance on a global scale.

Report Includes
– An overview of the global market for AI in food safety and quality control
– In-depth analysis of global market trends, featuring historical revenue data for 2024, and estimated figures for 2025. This analysis includes projections of compound annual growth rates (CAGRs) through 2030
– Evaluation of the current market size and revenue growth prospects specific to the AI in food safety and quality control, accompanied by a market share analysis by technology, application, deployment mode, end-use industry and region
– Analysis of current and future demand in the global food safety and quality control market, along with a detailed analysis of the competitive environment, market regulations and reimbursement practices
– Analysis of drivers, challenges, and opportunities affecting market growth
– Coverage of evolving technologies, the current and future market potential, R&D activities, growth strategies, new product pipeline, regulatory framework and reimbursement scenarios, and ESG trends of the market
– Market share analysis of the key market participants in the food safety and quality control market, along with their research priorities, product portfolios, global rankings and company competitive landscape
– Profiles of major companies within the industry

Table of Contents

Table of Contents
Chapter 1 Executive Summary
Market Outlook
Scope of Report
Market Summary
Evolving Landscape of Food Safety and Quality Challenges
Strategic Role of AI in Enhancing Food Integrity
Conclusion
Chapter 2 Market Overview
Market Definition
AI versus Traditional Food Safety and Quality Control
Accuracy and Precision
Speed and Efficiency
Scope of Detection
Data Handling and Reporting
Human Dependency
Cost Structure
Scalability and Flexibility
Regulatory Compliance and Certification
Integration with Other Systems
Continuous Improvement and Learning
Chapter 3 Market Dynamics
Market Dynamics
Market Drivers
Rising Incidence of Foodborne Illnesses and Contamination
Increasing Complexity and Vulnerability of Global Supply Chains
Growing Consumer Demand for Transparency and Product Authenticity
Rapid Advances in AI and Complementary Technologies
Industry’s Relentless Pursuit of Operational Efficiency and Cost Optimization
Market Challenges
High Initial Investment and Ongoing Operational Costs
Data Quality, Fragmentation, and Privacy Concerns
Skills Gap and Workforce Adaptation
Market Opportunities
Increasing Demand for the Accelerated Pathogen and Contaminant Detection
Enhanced Traceability and Supply Chain Transparency
Advanced Predictive Risk Management and Quality Control
Automated Processing and Operational Efficiency
Personalized Food Safety and Nutrition Solutions
Recent Developments in the Global Market
Chapter 4 AI Product Mapping Analysis
Key Takeaways
Overview
Overall Product Mapping Parameter Insights
Chapter 5 Market Segment Analysis
Segmentation Breakdown
Market Breakdown by Technology
Key Takeaways
Machine Learning (ML)
Computer Vision
Natural Language Processing (NLP)
Robotics and Automation
Other Technologies
Market Breakdown by Deployment Model
Key Takeaways
Cloud-Based
On-Premises
Hybrid
Market Breakdown by Application
Key Takeaways
Food Safety Monitoring
Quality Control and Inspection
Contaminant Detection
Traceability and Recall Management
Compliance and Reporting
Other Applications
Market Breakdown by End-use Industry
Key Takeaways
Meat, Poultry and Seafood
Processed Food and Beverages
Dairy Products
Fruits and Vegetables
Other End-use Industries
Market Breakdown by Region
Key Takeaways
North America
Europe
Asia-Pacific
Middle East and Africa
South America
Chapter 6 Competitive Intelligence
Key Takeaways
Chapter 7 Appendix
Methodology
Sources
Abbreviations
Case Studies
Case Studies Discussed in Detail
Company Profiles
CLARIFRUIT
EGROBOTS CO.
EUROFINS SCIENTIFIC
FARMONAUT TECHNOLOGIES PVT. LTD.
FOODREADY
INTELLO LABS
KPM ANALYTICS
NOTCO
SIGHT MACHINE
SPORE.BIO

List of Tables

List of Tables
Summary Table : Global Market for AI in Food Safety and Quality Control, by Region, Through 2030
Table 1 : AI versus Traditional Food Safety Method: Accuracy and Precision
Table 2 : AI versus Traditional Food Safety Method: Speed and Efficiency
Table 3 : AI versus Traditional Food Safety Method: Scope of Detection
Table 4 : AI versus Traditional Food Safety Method: Data Handling and Reporting
Table 5 : AI versus Traditional Food Safety Method: Human Dependency
Table 6 : AI versus Traditional Food Safety Method: Cost Structure
Table 7 : AI versus Traditional Food Safety Method: Sustainability and Flexibility
Table 8 : AI versus Traditional Food Safety Method: Regulatory Compliance and Certification
Table 9 : AI versus Traditional Food Safety Method: Integration with Other Systems
Table 10 : AI versus Traditional Food Safety Method: Continuous Improvement and Learning
Table 11 : Recent Developments in AI in the Global Food Supply Chain, 2023–2025
Table 12 : Companies Analyzed for AI Product Mapping for Food Safety and Quality Control, 2025
Table 13 : AI Product Mapping for Food Safety and Quality Control, by Technology Type, 2025
Table 14 : AI Product Mapping for Food Safety and Quality Control, by Primary Application Areas, 2025
Table 15 : AI Product Mapping for Food Safety and Quality Control, by Target Food Categories, 2025
Table 16 : AI Product Mapping for Food Safety and Quality Control, by Deployment Model, 2025
Table 17 : AI Product Mapping for Food Safety and Quality Control, by Key Features Offered, 2025
Table 18 : AI Product Mapping for Food Safety and Quality Control, by Integration Capabilities, 2025
Table 19 : AI Product Mapping for Food Safety and Quality Control, by Regulatory Compliance Support, 2025
Table 20 : AI Product Mapping for Food Safety and Quality Control, by Primary Customer Type, 2025
Table 21 : Global Market for AI in Food Safety and Quality Control, by Technology,Through 2030
Table 22 : Global Market for AI in Food Safety and Quality Control, by Deployment Model, Through 2030
Table 23 : Global Market for AI in Food Safety and Quality Control, by Application,Through 2030
Table 24 : Global Market for AI in Food Safety and Quality Control, by End-use Industry, Through 2030
Table 25 : Global Market for AI in Food Safety and Quality Control, by Region, Through 2030
Table 26 : U.S. AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 27 : Canadian AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 28 : German AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 29 : U.K. AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 30 : Chinese AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 31 : Japanese AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 32 : UAE AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 33 : Saudi Arabian AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 34 : Brazilian AI Food Safety and Quality Control Sector: Leading Companies, 2025
Table 35 : Top Five Companies in AI in Food Safety and Quality Control Market, 2024
Table 36 : Information Sources for this Report
Table 37 : Abbreviations Used in this Report
Table 38 : Clarifruit: Company Snapshot
Table 39 : Clarifruit: Product Portfolio
Table 40 : Clarifruit: News/Key Developments, 2025
Table 41 : Egrobots Co.: Company Snapshot
Table 42 : Egrobots Co.: Product Portfolio
Table 43 : Eurofins Scientific: Company Snapshot
Table 44 : Eurofins Scientific: Financial Performance, FY 2023 and 2024
Table 45 : Eurofins Scientific: Product Portfolio
Table 46 : Eurofins Scientific: News/Key Developments, 2023-2025
Table 47 : Farmonaut Technologies Pvt. Ltd.: Company Snapshot
Table 48 : Farmonaut Technologies Pvt. Ltd.: Product Portfolio
Table 49 : FoodReady: Company Snapshot
Table 50 : FoodReady: Product Portfolio
Table 51 : Intello Labs: Company Snapshot
Table 52 : Intello Labs: Product Portfolio
Table 53 : KPM Analytics: Company Snapshot
Table 54 : KPM Analytics: Product Portfolio
Table 55 : KPM Analytics: News/Key Developments, 2023–2025
Table 56 : NotCo: Company Snapshot
Table 57 : NotCo: Product Portfolio
Table 58 : Sight Machine: Company Snapshot
Table 59 : Sight Machine: Product Portfolio
Table 60 : Spore.Bio: Company Snapshot
Table 61 : Spore.Bio: Product Portfolio
Table 62 : Spore.Bio: News/Key Developments, 2025

List of Figures

List of Figures
Summary Figure : Global Market Shares of AI in Food Safety and Quality Control, by Region, 2024
Figure 1 : Parameters for the Comparative Study of AI versus Traditional Food Safety and Quality Control
Figure 2 : Market Dynamics of AI in Food Safety and Quality Control
Figure 3 : Key Findings of Product Mapping Analysis
Figure 4 : Global Market Shares of AI in Food Safety and Quality Control, by Technology, 2024
Figure 5 : Global Market Shares of AI in Food Safety and Quality Control, by Deployment Model, 2024
Figure 6 : Global Market Shares of AI in Food Safety and Quality Control, by Application, 2024
Figure 7 : Global Market Shares of AI in Food Safety and Quality Control, by End-use Industry, 2024
Figure 8 : Global Market Shares of AI in Food Safety and Quality Control, by Region, 2024
Figure 9 : North American Market for AI in Food Safety and Quality Control, 2024–2030
Figure 10 : European Market for AI in Food Safety and Quality Control, 2024–2030
Figure 11 : Asia-Pacific Market for AI in Food Safety and Quality Control, 2024–2030
Figure 12 : MEA Market for AI in Food Safety and Quality Control, 2024–2030
Figure 13 : South American Market for AI in Food Safety and Quality Control, 2024–2030
Figure 14 : Eurofins Scientific: Revenue Share, by Business Unit, FY 2024
Figure 15 : Eurofins Scientific: Revenue Share, by Region/Country, FY 2024

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