Key Takeaways
- Aquaculture industry valued at $281 billion in 2020
- Global aquaculture trade worth $195 billion in 2020
- Salmon is the highest valued aquaculture species at $25 billion annually
- Aquaculture provides 218 million jobs worldwide
- In Asia, 94% of aquaculture workers
- China employs 18 million in aquaculture
- Aquaculture GHG emissions 0.01 kg CO2 per kg product
- Fed aquaculture uses 20% less feed than 1990s
- Salmon farming FCR improved to 1.2:1
- Aquaculture to surpass capture fisheries by 2025
- Asia produces 89% of global aquaculture
- Salmon top traded aquaculture product $20 billion
- Global aquaculture production reached 122.6 million tonnes in 2020
- Aquaculture accounted for 51% of total aquatic animal production in 2020
- China's aquaculture production was 52.4 million tonnes in 2020
In 2020 aquaculture surpassed 122.6 million tonnes and drove 281 billion in value worldwide.
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Production and Yield, source url: https://www.produceblue.org/
Production and Yield, source url: https://www.produceblue.org/ 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.
Margot Villeneuve. (2026, February 13). Aquaculture Industry Statistics. Gitnux. https://gitnux.org/aquaculture-industry-statistics
Margot Villeneuve. "Aquaculture Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/aquaculture-industry-statistics.
Margot Villeneuve. 2026. "Aquaculture Industry Statistics." Gitnux. https://gitnux.org/aquaculture-industry-statistics.
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