サンプル依頼リスト カート
  • English
  • Korean
市場調査レポート
商品コード
1799450

食品安全・品質管理におけるAIの市場

AI in Food Safety and Quality Control Market

出版日
発行
BCC Research
ページ情報
英文 85 Pages
納期
即納可能 即納可能とは
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=149.25円
食品安全・品質管理におけるAIの市場
出版日: 2025年08月06日
発行: BCC Research
ページ情報: 英文 85 Pages
納期: 即納可能 即納可能とは
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

当レポートでは、世界の食品安全・品質管理におけるAIの市場を調査し、市場概要、市場影響因子および市場機会の分析、市場規模の推移・予測、各種区分・地域別の詳細分析などをまとめています。

目次

第1章 エグゼクティブサマリー

  • 市場見通し
  • 調査範囲
  • 市場サマリー
  • 食品の安全性と品質に関する課題の情勢
  • 食品の完全性向上におけるAIの戦略的役割
  • 総論

第2章 市場概要

  • 市場定義
  • AIと従来の食品安全・品質管理
  • 正確さと精度
  • スピードと効率
  • 検出範囲
  • データの取り扱いと報告
  • 人間の依存
  • コスト構造
  • 拡張性と柔軟性
  • 規制コンプライアンスと認証
  • 他のシステムとの統合
  • 継続的な改善と学習

第3章 市場力学

  • 市場力学
  • 市場促進要因
  • 食中毒と汚染の発生率の上昇
  • 世界のサプライチェーンの複雑性と脆弱性の増大
  • 透明性と製品の真正性に対する消費者の需要の高まり
  • AIと補完技術の急速な進歩
  • 業務効率とコスト最適化の徹底的な追求
  • 市場の課題
  • 高額な初期投資と継続的な運用コスト
  • データの品質、断片化、プライバシーに関する懸念
  • スキルギャップと労働力の適応
  • 市場機会
  • 病原体および汚染物質の迅速検出に対する需要の増加
  • 強化されたトレーサビリティとサプライチェーンの透明性
  • 高度な予測リスク管理と品質管理
  • 自動処理と運用効率
  • パーソナライズされた食品安全と栄養ソリューション
  • 世界市場の最近の動向

第4章 AI製品のマッピング分析

  • 重要ポイント
  • 概要
  • 全体的な製品マッピングパラメータの洞察

第5章 市場セグメント分析

  • セグメンテーションの内訳
  • 市場内訳：技術別
  • 重要ポイント
  • 機械学習 (ML)
  • コンピュータービジョン
  • 自然言語処理 (NLP)
  • ロボット工学と自動化
  • その他
  • 市場内訳：導入モデル別
  • 重要ポイント
  • クラウドベース
  • オンプレミス
  • ハイブリッド
  • 市場内訳：用途別
  • 重要ポイント
  • 食品安全監視
  • 品質管理と検査
  • 汚染物質検出
  • トレーサビリティとリコール管理
  • コンプライアンスと報告
  • その他
  • 市場内訳：エンドユーザー産業別
  • 重要ポイント
  • 肉、鶏肉、魚介類
  • 加工飲食品
  • 乳製品
  • 果物と野菜
  • その他
  • 市場内訳：地域別
  • 重要ポイント
  • 北米
  • 欧州
  • アジア太平洋
  • 中東・アフリカ
  • 南米

第6章 競合情報

  • 重要ポイント

第7章 付録

  • 調査手法
  • 出典
  • 略語
  • ケーススタディ
  • 詳細なケーススタディの議論
  • 企業プロファイル
  • CLARIFRUIT
  • EGROBOTS CO.
  • EUROFINS SCIENTIFIC
  • FARMONAUT TECHNOLOGIES PVT. LTD.
  • FOODREADY
  • INTELLO LABS
  • KPM ANALYTICS
  • NOTCO
  • SIGHT MACHINE
  • SPORE.BIO
図表

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
目次
Product Code: IFT327A

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