Key Takeaways
- FECL (iron-based concentrated feed industry) accounted for 19.6% of all food industry enterprises in the Czech Republic in 2020
- In the Czech food industry, “Manufacture of animal feed” enterprises represented 3.6% of all food industry enterprises in 2020
- In the Czech food industry, total employment in 2020 was 302,000 persons
- The EU set maximum aflatoxin B1 limits for feed at 0.02 mg/kg for complete feed
- The EU maximum total aflatoxins limit in feed is 0.05 mg/kg
- The EU maximum deoxynivalenol (DON) level in feed for pigs and poultry is 5,000 µg/kg (0.005%)
- In the EU, compound feed for pigs accounted for about 45% of total compound feed production in 2022
- In the EU, compound feed for poultry accounted for about 33% in 2022
- In the EU, compound feed for cattle accounted for about 16% in 2022
- The global animal feed additives market grew from USD 33.8 billion in 2020 to USD 39.6 billion in 2023
- The global feed additives market is forecast to reach USD 64.6 billion by 2030 (CAGR 7.9%)
- The OECD-FAO Agricultural Outlook projects global animal feed demand to grow by 1.7% per year from 2023 to 2032
- Global meat production reached about 359 million tonnes in 2022, supporting feed demand
- Global milk production reached about 885 million tonnes in 2022, supporting dairy feed demand
- Global egg production reached about 88 million tonnes in 2022, supporting poultry feed demand
In 2020 Czechia, FECL and animal feed makers represented 19.6% of enterprises, driving a CZK 306.2 billion economy.
Market Size & Structure
Market Size & Structure Interpretation
Safety, Compliance & Contaminants
Safety, Compliance & Contaminants Interpretation
Production, Feed Formulation & Processing
Production, Feed Formulation & Processing Interpretation
Economics, Trade & Consumption
Economics, Trade & Consumption Interpretation
Sustainability, Resource Use & Environment
Sustainability, Resource Use & Environment Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Emilia Santos. (2026, February 13). Fec Industry Statistics. Gitnux. https://gitnux.org/fec-industry-statistics
Emilia Santos. "Fec Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/fec-industry-statistics.
Emilia Santos. 2026. "Fec Industry Statistics." Gitnux. https://gitnux.org/fec-industry-statistics.
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