Report Highlights
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 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, including projections of CAGRs through 2030
- Evaluation of the current market size and revenue growth prospects specific to AI in food safety and quality control, accompanied by a market share analysis by deployment model, region, application, technology and end-use industry
- 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, along with their research priorities, product portfolios, global rankings and competitive landscape
- Profiles of major companies in the industry
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 Synopsis
| Report Metrics | Details | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Base year considered | 2024 | ||||||||||
| Forecast period considered | 2025-2030 | ||||||||||
| Base year market size | $2.7 Billion | ||||||||||
| Market size forecast | $13.7 Billion | ||||||||||
| Growth rate | CAGR of 30.9% from 2025 to 2030 | ||||||||||
| Units considered | $ Millions | ||||||||||
| Segments covered | By Technology, Application, Deployment Mode, End-Use Industry and Region | ||||||||||
| Regions covered | North America, Europe, Asia-Pacific, the Middle East and Africa (MEA) and South America | ||||||||||
| Key Market Drivers |
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| Companies studied |
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Frequently Asked Questions (FAQs)
- High initial investment and ongoing operational costs.
- Skills gap and workforce adaptation.
- Increasing demand for the accelerated pathogen and contaminant detection.
- Enhanced traceability and supply chain transparency.
- Advanced predictive risk management and quality control.
Analyst Credentials
Kunal R. Nagpure– Consultant-Food & Beverage Research
Kunal Nagpure is an accomplished market researcher with over eight years of experience in the F&B, Environment, and Agriculture markets. He is passionate about using his knowledge to help clients make data-driven decisions and achieve their business objectives. With a keen eye for detail and a strong analytical mindset, Kunal has delivered numerous successful research projects that have enabled clients to gain a competitive edge in their respective markets. Academically, Kunal holds a master’s degree in Marketing and Operations and a bachelor’s degree in Biotech Engineering.
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