Investing in Blue Foods 2026

Calculating blue foods production potential (Figure 4 continued) APPENDIX A4 No. Metrics Value Data source 11 Amount of blue foods production in Africa vulnerable to disease risks~2.5 m tonnes2 Disease risks relevant for aquaculture where they can drive mortality during grow-out cycles 12 Estimated loss factor due to diseases in Africa 9.2%Aquaculture journal: Recorded mortality rate in Egypt (Egypt accounts for ~70% of Africa aquaculture output) 13 Estimated losses due to disease risks in Africa0.2 m tonnes12 x 11 14 Estimated losses globally due to disease 2.0%WorldFish: Diseases account for $6 bn vs. first sale value of ~$300 bn in aquaculture production (2022) 15 Loss in percentage terms (Africa vs. global) 7.2% 12 – 14 16Potential increase in blue foods output if losses from disease risks match global average (Mt)0.18 m tonnes15 x 11 17Amount of blue foods production in Africa vulnerable to losses due to traceability10.6 m tonnes1 – 2 Traceability affects capture fisheries due to illegal fishing; affects aquaculture as well from standardization & market access but not major loss driver of production tonnage 18 Estimated loss factor due to traceability in Africa 36%WWF: Estimated based on loss figures across Kenya, Madagascar, Mozambique, South Africa, Tanzania 19 Estimated loss factor due to traceability globally 20% The Pew Charitable Trusts 20Potential increase in blue foods output if traceability losses match global average (Mt)1.7 m tonnes(( 18 – 19 ) x 17 ) Investing in Blue Foods: Innovation and Partnerships for Impact 30