食品安全與品管中的人工智慧市場

本報告調查了食品安全和品管領域人工智慧的全球市場，並提供了市場概況、市場影響因素和市場機會分析、市場規模趨勢和預測以及各個區分和地區的詳細分析。

目錄

第1章 執行摘要

• 市場展望
• 調查範圍
• 市場摘要
• 食品安全和品質問題現狀
• 人工智慧在改善食品完整性方面的策略作用
• 結論

第2章 市場概述

• 市場定義
• 人工智慧與傳統食品安全和品管
• 準確度和精密度
• 速度和效率
• 檢測範圍
• 資料處理和報告
• 人類的依賴
• 成本結構
• 擴充性和靈活性
• 法規遵從性和認證
• 與其他系統整合
• 持續改進和學習

第3章 市場動態

• 市場動態
• 市場促進因素
• 食物中毒和污染發生率增加
• 全球供應鏈日益複雜且脆弱
• 消費者對透明度和產品真實性的需求日益增加
• 人工智慧及其互補技術的快速發展
• 徹底追求業務效率和成本最佳化
• 市場挑戰
• 高昂的初始投資和持續的營運成本
• 資料品質、碎片化和隱私問題
• 技能差距與勞動適應
• 市場機會
• 對病原體和污染物快速檢測的需求日益增加
• 增強可追溯性和供應鏈透明度
• 先進的預測風險和品管
• 自動化和營運效率
• 個人化食品安全與營養解決方案
• 全球市場近期趨勢

第4章 AI產品映射分析

• 關鍵要點
• 概述
• 洞察整體產品映射參數

第5章 市場區隔分析

• 細分市場
• 市場區隔：依技術
• 關鍵要點
• 機器學習（ML）
• 電腦視覺
• 自然語言處理（NLP）
• 機器人與自動化
• 其他
• 市場區隔：依實施模式
• 關鍵要點
• 雲端基礎
• 本地
• 混合
• 市場區隔：依應用
• 關鍵要點
• 食品安全監控
• 品管和檢驗
• 污染物檢測
• 可追溯性與召回管理
• 合規與報告
• 其他
• 市場區隔：依最終用戶產業
• 關鍵要點
• 肉類、家禽、魚貝類
• 加工食品和飲料
• 乳製品
• 水果和蔬菜
• 其他
• 市場區隔：依地區
• 關鍵要點
• 北美洲
• 歐洲
• 亞太地區
• 中東和非洲
• 南美洲

第6章 競爭訊息

• 關鍵要點

第7章 附錄

• 調查方法
• 來源
• 簡稱
• 案例研究
• 詳細的案例研究討論
• 公司簡介
• CLARIFRUIT
• EGROBOTS CO.
• EUROFINS SCIENTIFIC
• FARMONAUT TECHNOLOGIES PVT. LTD.
• FOODREADY
• INTELLO LABS
• KPM ANALYTICS
• NOTCO
• SIGHT MACHINE
• SPORE.BIO

This report provides an in-depth analysis of the global market for AI in food safety and quality control. It highlighting key trends, market growth drivers, technological innovations, regulatory dynamics, and strategic opportunities for stakeholders across the food ecosystem.

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

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

• 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

• 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