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  3. III. Demand: who would buy it

Chương 18 · Phần III

18. How much demand? Seven routes to 2050

Instead of a market-size number, we size seven routes by which domestic or novel protein could reach buyers, in three labelled scenarios. On a benchmark path they create demand for about 19,000 t of protein a year by 2035, mostly by replacing imported ingredients, but displace only about 2,400 t of meat protein (0.2%).

19 phút đọcÝ nghĩa các nhãn

Nội dung trang này bằng tiếng Anh. Đọc bản tóm tắt tiếng Việt

Trong trang này
  1. 18.1 Why not a market-size number
  2. 18.2 Seven routes and three scenarios
  3. 18.3 What the routes deliver
  4. 18.4 What the routes displace, against S-ALT
  5. 18.5 Sensitivity
  6. 18.6 What this means for Part IV, and for the frontier

In one paragraph. We do not give a market-size number for Vietnamese alternative protein. Published figures have no traceable method, and global forecasts made in 2019 to 2021 overshot by one to two orders of magnitude. Instead, a small reproducible model (tools/demand_model.py) sizes seven routes by which domestic or novel protein could reach Vietnamese plates and foreign buyers, in three labelled scenarios, and separates the protein a route delivers from the meat protein it displaces. On a benchmark path anchored on what has happened elsewhere, the routes create demand for about 19,000 t of protein a year by 2035, mostly by replacing imported textured soy and gluten in foods Vietnam already makes. Only part of it would be made in Vietnam: about 11,000 to 17,000 t, depending on how large the import pool really is and how much of the hybrid, canteen and plant-milk protein a domestic maker wins. For soy extrusion, that supports about one line of 1 t per hour by 2035. The routes displace only about 2,400 t of meat protein, 0.2% of the total. In the units funders count, that spares about 2.4 to 2.7 million animals a year, 93 to 94% of them chickens and ducks, and avoids about 0.14 Mt CO2e; import substitution, the largest route, spares none. A stretch path, which assumes conditions not yet seen anywhere, displaces 0.7% by 2035 and 1.5% by 2050, against the 3% and 10% the Part IV S-ALT scenario assumes. Reaching S-ALT's modest 2030 level through hybrids alone would take three-quarters of all processed meat; through consumer analogues, more regular buyers than Vietnam has people. Existing chay days already avoid about 25,000 t of meat protein a year. The food side of S-ALT is exploratory; the demand that exists is for ingredients.


18.1 Why not a market-size number

  • Vietnamese market sizes are untraceable. "VND 1,000 billion", "USD 500 million" and "USD 103 to 112 million" for plant-based or vegetarian food carry no visible method and conflict with shelf and launch evidence; the supply study and every Part III stream rejected them 1,2,3 .
  • Global forecasts overshot. Kearney forecast in 2019 that novel plant-based meat would be 10% of a USD 1,200 billion meat market in 2025; global retail sales were about USD 6.6 billion in 2025, about 0.55% (our comparison). Barclays' USD 140 billion by 2029 would need about 115% growth a year from 2025. BCG and Blue Horizon's plant-based price parity "by 2023" was not met at category level 4,5,6,7 . Forecasts made at the 2019 to 2021 peak extrapolated launch-year growth, and several came from parties with an interest (D7. Global benchmarks). 10% forecast; about 0.55% actual

Forecasts made at the peak overshot

USD billion, log scale: forecast against the latest comparable actual (2025)

Forecasts made at the peak overshotLog-scale grouped bars: Kearney forecast about USD 120 billion of novel plant-based meat in 2025 against USD 6.6 billion actual; Barclays USD 140 billion by 2029 and Bloomberg Intelligence USD 74 billion of alternative meat by 2030 against USD 6.6 billion in 2025.ForecastLatest comparable actual (2025)125102050100200USD billion (log scale)Kearney (2019)Novel plant-based meat, 2025Kearney (2019): novel plant-based meat, 2025, forecast: USD 120 billion Basis: forecast USD billion vs 2025 global retailUSD 120 billionKearney (2019): novel plant-based meat, 2025, latest comparable actual (2025): USD 6.6 billion Basis: forecast USD billion vs 2025 global retailUSD 6.6 billionBarclays (2019)Alternative meat, 2029Barclays (2019): alternative meat, 2029, forecast: USD 140 billion Basis: forecast vs 2025 latestUSD 140 billionBarclays (2019): alternative meat, 2029, latest comparable actual (2025): USD 6.6 billion Basis: forecast vs 2025 latestUSD 6.6 billionBloomberg Intelligence (2021)Plant-based foods, 2030Bloomberg Intelligence (2021): plant-based foods, 2030, forecast: USD 162 billion Basis: forecast vs 2025 latestUSD 162 billionBloomberg Intelligence (2021): plant-based foods, 2030, latest comparable actual (2025): USD 28.9 billion Basis: forecast vs 2025 latestUSD 28.9 billionBloomberg Intelligence (2021)Alternative meat, 2030Bloomberg Intelligence (2021): alternative meat, 2030, forecast: USD 74 billion Basis: forecast vs 2025 latestUSD 74 billionBloomberg Intelligence (2021): alternative meat, 2030, latest comparable actual (2025): USD 6.6 billion Basis: forecast vs 2025 latestUSD 6.6 billionNote: target years 2029 and 2030 have not arrived; the comparison shows the growth each would still need.

Global retail sales from Euromonitor via GFI.

Nguồn: 4,5,8,7,9

Xem số liệuẨn số liệu
Forecasts made at the peak overshot
ForecastForecast (USD billion)Latest actual, 2025 (USD billion)Basis
Kearney (2019): novel plant-based meat, 20251206.6forecast USD billion vs 2025 global retail
Barclays (2019): alternative meat, 20291406.6forecast vs 2025 latest
Bloomberg Intelligence (2021): plant-based foods, 203016228.9forecast vs 2025 latest
Bloomberg Intelligence (2021): alternative meat, 2030746.6forecast vs 2025 latest

So we size routes, not markets, and we label every result.

18.2 Seven routes and three scenarios

RouteWhat it isHow it is sizedDisplaces meat?
R1 Ingredient import substitutionDomestic or novel protein replacing imported textured soy, soy concentrate and gluten bought by chay makers, meat processors and other food makersFood share of 2025 plant-protein imports (about 40,000 t of product, about 26,000 t of protein; monthly trade points nearer 35,000 t), growing 4 to 8% a year; domestic share by scenarioNo: replaces imports
R2 Chay occasionsUpgraded protein on existing chay days, plus any added chay days30% of people keeping 2.5 chay days a month (assumption); 20 g of protein per upgraded chay day; added days only in two scenariosOnly added days, net of 30% compensation
R3 Hybrid processed meatPlant or fungal protein replacing part of the meat in giò and chả (pork rolls and loaves), sausages and fillings5% of meat eaten as processed products (assumption); adoption and replacement share by scenario; plant protein of any originYes, 0.9 per unit replaced
R4 Institutional mealsPlant or novel protein in factory canteens and school lunches1.0 billion canteen and 0.8 billion school meals a year; 20 g of protein per protein dish (assumptions); adoption by scenarioYes, 0.8 per unit (meal level); school protein sold into the plant slot would replace tofu, not meat
R5 Household modern analoguesAnalogues bought by urban householdsRegular (monthly) buyers as a share of urban residents; 3 kg a year each at 15% proteinLittle: 0.2 per unit
R6 High-protein plant milksProtein isolates added to plant milksPlant milk volume (about 300 million litres in 2025) times high-protein share times 30 g per litreNo (dairy, if anything)
R7 ExportsProducts or ingredients made in Vietnam and sold abroadTonnes by scenario at 25% protein (no revealed base for the ingredient part)No (not in Vietnam)

Displacement factors follow the evidence of Consumers and D7. Global benchmarks: blends and canteen swaps remove meat by construction, while consumer analogues have not measurably displaced meat anywhere 10,11,12,13 . A 2026 analysis of 1.2 million restaurant transactions in the US, Canada and Australia found "essentially no evidence" that modern alternative proteins reduced meat purchases 14 .

What the route bases rest on. We tested the bases of four routes against revealed evidence (M4. Actor check and waves). No model value changed; the readings below qualify them.

  • R2 chay days. No probability survey asks about chay (vegetarian eating on lunar days), but the national Diet Quality Questionnaire asks about diet: in late 2021, 7.9% (5.3 to 11.0%) of adults ate no meat, poultry or fish on the previous day. That caps chay-day person-days. The central assumption (2.5% of person-days) uses about a third of the ceiling; the top of the range in Chay baseline would need nearly every flesh-free day to be a chay day 15,16 .
  • R3 hybrids. Cost does not limit this route: extending pork products with soy saves 14 to 16% of raw-material cost at 20% replacement, at every hog price since 2019 (our calculation) 17,18,19 . Adoption is limited by product identity, sensory ceilings (about 10 to 20% of the meat in fine emulsions, 30% in coarse mince) and trust. No Vietnamese brand sells a declared meat and plant-protein blend, buyers read hidden extension (độn, filler) as cheating, and 2026 is a processed-meat trust crisis 20,21,22,23 . So the benchmark's 6% of processed meat by 2035 fits extension inside industrial xúc xích (sausages) and fillings under ingredient names, while the stretch path's 15% needs a positive frame for declared blends, not price parity. National diet surveillance cannot test the 5% processed share: its processed-meat item, eaten by 18.1% of adults on a given day, leaves out giò and chả 15,16 .
  • R4 canteens and schools. Five caterers' published menus lead with pork (33% of protein dishes), fish (26%) and chicken (13%); tofu appears in 9% (plant-only 3%), and none names textured soy 24,25,26 . School caterers' portions support the 20 g of protein per dish 27,28 . For schools, the old basis (Decision 1340's animal-protein target, which ended in 2020) no longer holds. MOH Decision 3958/QĐ-BYT (December 2025) sets no animal share and asks for plant protein (legumes, tofu) at least twice a week; audited menus meet that rule in only 9 of 48 school-weeks and fill the plant slot with tofu beside meat 29,30,28 . A plant ingredient sold into that slot replaces tofu; only a labelled blend in minced-meat and fish-cake dishes, served on 28.5% of audited days, removes meat. And D-BENCH's canteen share implies 36.6 million canteen meal-equivalents a year by 2035, about 37 times the meals Sinergia Animal's programme shifted in three countries in 2023 and 16 times Humane World's 2025 commitments worldwide 31,32; only caterers' own commercial use could reach it (D7. Global benchmarks) .
  • R7 exports. The 25% protein share assumes that about 60% of exports are ingredients. Vietnam's textured-protein exports to the EU, the UK, Japan, Korea and Australia were 0 to 73 t each in 2024 to 2025, and the Vietnam-made wrapped plant foods found abroad carry 4 to 5.4 g of protein per 100 g 33,34 . At 5 to 12% protein, R7 would deliver 0.5 to 1.2 kt in 2035, not 2.5 kt (our calculation) . The export evidence is in Export demand.

The three scenarios :

  • D-DRIFT, incumbent drift. Novel protein stays a small import-substitution business; no hybrids to speak of; analogues remain a niche.
  • D-BENCH, benchmark path. Each route grows to levels anchored on analogues observed elsewhere, scaled to Vietnam's channels and price gap: for example 25% of the ingredient pool supplied domestically by 2035, 6% of processed meat sold as hybrids, 3% of canteen protein, 2% of urban residents buying analogues monthly (against a Western ceiling of about 9 to 10% of households).
  • D-STRETCH, stretch. Conditions not yet observed anywhere: per-serving price parity in local formats, hybrids in 15% of processed meat by 2035 and 35% by 2050 (which needs openly declared blends to be accepted, since extension already pays), canteen protein defaults, and chay keepers adding half a day a month by 2035 and one day by 2050.

18.3 What the routes deliver

kt of protein a year203020352050
D-DRIFT, delivered1.33.210.7
D-BENCH, delivered5.919.166.7
D-STRETCH, delivered14.145.6171.5
of which R1 import substitution (D-BENCH)3.511.644.6
of which R7 exports (D-BENCH)0.82.57.5
For comparison: Part IV S-ALT, food protein replacing meat11.839.3144.6
For comparison: Part IV S-ALT, microbial protein in feed55.8160.2514.1

All rows are our estimates on the S-BASE population and meat demand of Part IV, which follow the OECD-FAO outlook to 2035 35 .

What the routes deliver

Protein delivered by domestic or novel protein, kt a year, by route, scenario and year (our estimates)

What the routes deliverStacked bars: on the benchmark path, domestic or novel protein delivers about 6 kt of protein in 2030, 19 kt in 2035 and 67 kt in 2050, mostly as import substitution; the stretch path delivers 14, 46 and 172 kt; incumbent drift 1, 3 and 11 kt.R1 Import substitutionR2 Chay occasionsR3 HybridsR4 InstitutionsR5 Household analoguesR6 Plant milksR7 ExportsS-ALT (meat replaced)0306090120150180Protein delivered, kt a yearD-DRIFT 2030, R1 Import substitution: 0.63 kt of protein All routes: 1.29 ktD-DRIFT 2030, R2 Chay occasions: 0.19 kt of protein All routes: 1.29 ktD-DRIFT 2030, R3 Hybrids: 0.03 kt of protein All routes: 1.29 ktD-DRIFT 2030, R4 Institutions: 0.04 kt of protein All routes: 1.29 ktD-DRIFT 2030, R5 Household analogues: 0.06 kt of protein All routes: 1.29 ktD-DRIFT 2030, R6 Plant milks: 0.22 kt of protein All routes: 1.29 ktD-DRIFT 2030, R7 Exports: 0.12 kt of protein All routes: 1.29 kt1.3S-ALT (meat replaced), 2030: 11.79 kt D-DRIFT delivers 1.3 kt2030D-DRIFT 2035, R1 Import substitution: 1.92 kt of protein All routes: 3.25 ktD-DRIFT 2035, R2 Chay occasions: 0.38 kt of protein All routes: 3.25 ktD-DRIFT 2035, R3 Hybrids: 0.07 kt of protein All routes: 3.25 ktD-DRIFT 2035, R4 Institutions: 0.12 kt of protein All routes: 3.25 ktD-DRIFT 2035, R5 Household analogues: 0.11 kt of protein All routes: 3.25 ktD-DRIFT 2035, R6 Plant milks: 0.4 kt of protein All routes: 3.25 ktD-DRIFT 2035, R7 Exports: 0.25 kt of protein All routes: 3.25 kt3.2S-ALT (meat replaced), 2035: 39.28 kt D-DRIFT delivers 3.2 kt2035D-DRIFT 2050, R1 Import substitution: 6.93 kt of protein All routes: 10.68 ktD-DRIFT 2050, R2 Chay occasions: 0.99 kt of protein All routes: 10.68 ktD-DRIFT 2050, R3 Hybrids: 0.14 kt of protein All routes: 10.68 ktD-DRIFT 2050, R4 Institutions: 0.41 kt of protein All routes: 10.68 ktD-DRIFT 2050, R5 Household analogues: 0.26 kt of protein All routes: 10.68 ktD-DRIFT 2050, R6 Plant milks: 1.2 kt of protein All routes: 10.68 ktD-DRIFT 2050, R7 Exports: 0.75 kt of protein All routes: 10.68 kt10.7S-ALT (meat replaced), 2050: 144.6 kt D-DRIFT delivers 10.7 ktS-ALT (meat replaced)2050D-BENCH 2030, R1 Import substitution: 3.48 kt of protein All routes: 5.93 ktD-BENCH 2030, R2 Chay occasions: 0.56 kt of protein All routes: 5.93 ktD-BENCH 2030, R3 Hybrids: 0.24 kt of protein All routes: 5.93 ktD-BENCH 2030, R4 Institutions: 0.22 kt of protein All routes: 5.93 ktD-BENCH 2030, R5 Household analogues: 0.2 kt of protein All routes: 5.93 ktD-BENCH 2030, R6 Plant milks: 0.48 kt of protein All routes: 5.93 ktD-BENCH 2030, R7 Exports: 0.75 kt of protein All routes: 5.93 kt5.9S-ALT (meat replaced), 2030: 11.79 kt D-BENCH delivers 5.9 kt2030D-BENCH 2035, R1 Import substitution: 11.64 kt of protein All routes: 19.06 ktD-BENCH 2035, R2 Chay occasions: 1.6 kt of protein All routes: 19.06 ktD-BENCH 2035, R3 Hybrids: 0.79 kt of protein All routes: 19.06 ktD-BENCH 2035, R4 Institutions: 0.81 kt of protein All routes: 19.06 ktD-BENCH 2035, R5 Household analogues: 0.43 kt of protein All routes: 19.06 ktD-BENCH 2035, R6 Plant milks: 1.29 kt of protein All routes: 19.06 ktD-BENCH 2035, R7 Exports: 2.5 kt of protein All routes: 19.06 kt19.1S-ALT (meat replaced), 2035: 39.28 kt D-BENCH delivers 19.1 kt2035D-BENCH 2050, R1 Import substitution: 44.64 kt of protein All routes: 66.65 ktD-BENCH 2050, R2 Chay occasions: 3.21 kt of protein All routes: 66.65 ktD-BENCH 2050, R3 Hybrids: 2.17 kt of protein All routes: 66.65 ktD-BENCH 2050, R4 Institutions: 2.29 kt of protein All routes: 66.65 ktD-BENCH 2050, R5 Household analogues: 1.05 kt of protein All routes: 66.65 ktD-BENCH 2050, R6 Plant milks: 5.79 kt of protein All routes: 66.65 ktD-BENCH 2050, R7 Exports: 7.5 kt of protein All routes: 66.65 kt66.7S-ALT (meat replaced), 2050: 144.6 kt D-BENCH delivers 66.7 kt2050D-STRETCH 2030, R1 Import substitution: 7.64 kt of protein All routes: 14.13 ktD-STRETCH 2030, R2 Chay occasions: 1.22 kt of protein All routes: 14.13 ktD-STRETCH 2030, R3 Hybrids: 0.88 kt of protein All routes: 14.13 ktD-STRETCH 2030, R4 Institutions: 0.74 kt of protein All routes: 14.13 ktD-STRETCH 2030, R5 Household analogues: 0.59 kt of protein All routes: 14.13 ktD-STRETCH 2030, R6 Plant milks: 1.06 kt of protein All routes: 14.13 ktD-STRETCH 2030, R7 Exports: 2.0 kt of protein All routes: 14.13 kt14.1S-ALT (meat replaced), 2030: 11.79 kt D-STRETCH delivers 14.1 kt2030D-STRETCH 2035, R1 Import substitution: 25.26 kt of protein All routes: 45.62 ktD-STRETCH 2035, R2 Chay occasions: 3.45 kt of protein All routes: 45.62 ktD-STRETCH 2035, R3 Hybrids: 2.95 kt of protein All routes: 45.62 ktD-STRETCH 2035, R4 Institutions: 2.27 kt of protein All routes: 45.62 ktD-STRETCH 2035, R5 Household analogues: 1.28 kt of protein All routes: 45.62 ktD-STRETCH 2035, R6 Plant milks: 2.91 kt of protein All routes: 45.62 ktD-STRETCH 2035, R7 Exports: 7.5 kt of protein All routes: 45.62 kt45.6S-ALT (meat replaced), 2035: 39.28 kt D-STRETCH delivers 45.6 kt2035D-STRETCH 2050, R1 Import substitution: 106.84 kt of protein All routes: 171.51 ktD-STRETCH 2050, R2 Chay occasions: 8.32 kt of protein All routes: 171.51 ktD-STRETCH 2050, R3 Hybrids: 7.59 kt of protein All routes: 171.51 ktD-STRETCH 2050, R4 Institutions: 5.72 kt of protein All routes: 171.51 ktD-STRETCH 2050, R5 Household analogues: 2.63 kt of protein All routes: 171.51 ktD-STRETCH 2050, R6 Plant milks: 15.41 kt of protein All routes: 171.51 ktD-STRETCH 2050, R7 Exports: 25.0 kt of protein All routes: 171.51 kt171.5S-ALT (meat replaced), 2050: 144.6 kt D-STRETCH delivers 171.5 kt2050D-DRIFT (incumbent drift)D-BENCH (benchmark path)D-STRETCH (stretch path)Note: delivered protein is not displaced meat; see the next chart.

Demand model; scenarios, not forecasts.

Nguồn: 36,37,38,39

Xem số liệuẨn số liệu
What the routes deliver
Scenario and yearR1 Import substitution (kt)R2 Chay occasions (kt)R3 Hybrids (kt)R4 Institutions (kt)R5 Household analogues (kt)R6 Plant milks (kt)R7 Exports (kt)All routes (kt)S-ALT food assumption (kt)
D-DRIFT 20300.630.190.030.040.060.220.121.2911.79
D-DRIFT 20351.920.380.070.120.110.40.253.2539.28
D-DRIFT 20506.930.990.140.410.261.20.7510.68144.6
D-BENCH 20303.480.560.240.220.20.480.755.9311.79
D-BENCH 203511.641.60.790.810.431.292.519.0639.28
D-BENCH 205044.643.212.172.291.055.797.566.65144.6
D-STRETCH 20307.641.220.880.740.591.062.014.1311.79
D-STRETCH 203525.263.452.952.271.282.917.545.6239.28
D-STRETCH 2050106.848.327.595.722.6315.4125.0171.51144.6

Three readings follow :

  1. Ingredient import substitution is most of the demand. In D-BENCH, R1 is about 60% of delivered protein in 2035 and two-thirds in 2050. The pool it draws on, food-grade plant-protein ingredients now imported mostly from China, is revealed demand today (Business buyers). Monthly trade suggests the food part of that pool is nearer 35,000 t of product than 40,000 t, because much of the post-2023 jump in HS 3504 imports is priced like feed protein and shows no chay season; at 35,000 t, R1 in 2035 is about 10,200 t of protein, not 11,600 t (our calculation) 40,41,36 .
  2. The food volumes are real but modest, and only part of them is textured soy. At about USD 3 per kg of protein, D-BENCH is an ingredient business of roughly USD 57 million a year by 2035 and USD 200 million by 2050. The model converts all R1 to R4 ingredient output into textured-line equivalents (about 3.5 lines of 1 t per hour by 2035, 12 by 2050), but most of the R1 pool is gluten and isolates, which need wet-milling or isolate plants. For soy extrusion, 25% of a textured-type import pool of about 23,000 t in 2035 is about 5,700 t: one 1 t per hour line or two 0.5 t per hour lines, not three to four (our calculation) 36,18. That supports a few specialised ingredient plants, as in play T1 (Demand to frontier), not a consumer-led boom.
  3. Feed is the bigger protein market. Part IV's S-ALT scenario puts microbial protein in feed at about four times its food volumes (Protein balance 2050). Nothing in the demand evidence changes the supply study's conclusion that feed leads food; mills already import about 9,200 t of inactive yeast a year (Export demand).

How much of it is made in Vietnam

The 19,000 t headline counts protein the routes deliver, not protein made in Vietnam. Only R1 applies an explicit domestic share (25% of the pool by 2035 on D-BENCH). R2 to R6 count all plant or novel protein used in those routes, and much of it would be imported soy or pea unless a domestic maker wins the business: Chinese, ASEAN and Korean textured protein, isolates and gluten enter Vietnam duty-free 42 . Hybrids are the clearest case, because processors would extend with soy they already import: at R1's 25% domestic share, the domestic part of R3 in 2035 is about 0.20 of 0.79 kt. R7 counts protein exported, not eaten in Vietnam.

D-BENCH, 2035, kt of proteinModel readingStrict reading
R1 import substitution11.6 (pool of 40,000 t of product)10.2 (pool of 35,000 t)
R2 to R6 (chay, hybrids, meals, analogues, plant milks)4.9 (protein of any origin)1.2 (25% domestic, as in R1)
Made in Vietnam for the home market16.55about 11.4
R7 exports (made in Vietnam, sold abroad)2.5 (25% protein)0.5 to 1.2 (5 to 12% protein)

So the benchmark path creates demand for about 19,000 t of protein a year by 2035, of which about 11,000 to 17,000 t would be made in Vietnam for the home market (our calculation) . The model's outputs are unchanged; this is a reading of them, and D8. Demand model (D8.3) shows the arithmetic.

18.4 What the routes displace, against S-ALT

Meat protein displaced203020352050
D-DRIFT0.1 kt (0.01%)0.2 kt (0.01%)0.5 kt (0.04%)
D-BENCH0.4 kt (0.04%)2.4 kt (0.18%)6.0 kt (0.41%)
D-STRETCH3.1 kt (0.27%)9.2 kt (0.71%)21.9 kt (1.52%)
Part IV S-ALT assumption11.8 kt (1%)39.3 kt (3%)144.6 kt (10%)
Existing chay days (already in the baseline)about 29 kt (2.5%)about 32 kt (2.5%)about 36 kt (2.5%)

All rows are our estimates . about 19,000 t delivered; about 2,400 t (0.2%) displaced

Meat displaced: the routes against S-ALT

Meat protein displaced, kt a year (our estimates), against the Part IV S-ALT assumption and the meat already avoided by chay days

Meat displaced: the routes against S-ALTGrouped bars: displaced meat protein reaches 2.4 kt in 2035 on the benchmark path and 9.2 kt on the stretch path, against 39.3 kt assumed by S-ALT; existing chay days already avoid about 32 kt.D-DRIFT (incumbent drift)D-BENCH (benchmark path)D-STRETCH (stretch path)S-ALT assumption (Part IV)Existing chay days, already in the baseline0255075100125150Meat protein displaced, kt a year20302030, D-DRIFT (incumbent drift): 0.07 kt of meat protein0.07 kt2030, D-BENCH (benchmark path): 0.43 kt of meat protein0.43 kt2030, D-STRETCH (stretch path): 3.14 kt of meat protein3.14 kt2030, S-ALT assumption (Part IV): 11.79 kt of meat protein11.79 kt2030, Existing chay days, already in the baseline: 29.1 kt of meat protein29.1 kt, already in the baseline20352035, D-DRIFT (incumbent drift): 0.18 kt of meat protein0.18 kt2035, D-BENCH (benchmark path): 2.35 kt of meat protein2.35 kt2035, D-STRETCH (stretch path): 9.25 kt of meat protein9.25 kt2035, S-ALT assumption (Part IV): 39.28 kt of meat protein39.28 kt2035, Existing chay days, already in the baseline: 32.3 kt of meat protein32.3 kt, already in the baseline20402040, D-DRIFT (incumbent drift): 0.3 kt of meat protein0.3 kt2040, D-BENCH (benchmark path): 3.89 kt of meat protein3.89 kt2040, D-STRETCH (stretch path): 14.92 kt of meat protein14.92 kt2040, S-ALT assumption (Part IV): 68.57 kt of meat protein68.57 kt2040, Existing chay days, already in the baseline: 33.8 kt of meat protein33.8 kt, already in the baseline20502050, D-DRIFT (incumbent drift): 0.51 kt of meat protein0.51 kt2050, D-BENCH (benchmark path): 5.99 kt of meat protein5.99 kt2050, D-STRETCH (stretch path): 21.93 kt of meat protein21.93 kt2050, S-ALT assumption (Part IV): 144.6 kt of meat protein144.6 kt2050, Existing chay days, already in the baseline: 35.7 kt of meat protein35.7 kt, already in the baseline

Uneven year spacing.

Nguồn: 37,10,13

Xem số liệuẨn số liệu
Meat displaced: the routes against S-ALT
YearD-DRIFT (incumbent drift) (kt)D-BENCH (benchmark path) (kt)D-STRETCH (stretch path) (kt)S-ALT assumption (Part IV) (kt)Existing chay days, already in the baseline (kt)
20300.070.433.1411.7929.1
20350.182.359.2539.2832.3
20400.33.8914.9268.5733.8
20500.515.9921.93144.635.7

In D-BENCH, the displacing routes are, in 2035, added chay days (about 0.9 kt), hybrids (0.7 kt) and canteens and schools (0.6 kt); consumer analogues contribute about 0.1 kt. The institutional figure includes about 0.06 kt from schools. School protein sold into the plant slot would replace tofu, not meat; counting it at zero lowers D-BENCH displacement in 2035 from 2.35 kt to about 2.29 kt, so "about 0.2%" stands (our calculation). Even in D-STRETCH the food routes reach about a quarter of S-ALT's 2035 assumption and about 15% of its 2050 assumption .

The same routes in funder units

Welfare, climate and market-shaping funders do not count tonnes of meat protein. We converted the displaced protein into animals spared (carcass weight per animal from FAOSTAT for Vietnam), net CO2e avoided (life-cycle intensities for East and Southeast Asia, minus the footprint of the replacing protein) and meal-equivalents (one 20 g protein dish supplied by plant or novel protein instead of meat) 43,44,45,46 . Method and factors are in D8. Demand model (D8.7).

Displacing routes R2 to R5203020352050
D-BENCH, animals spared (million a year)0.34 to 0.392.4 to 2.76.0 to 6.8
D-BENCH, chickens and ducks as share of animals91 to 92%93 to 94%93 to 94%
D-BENCH, net CO2e avoided (Mt a year)0.02 (0.01 to 0.05)0.14 (0.08 to 0.25)0.36 (0.20 to 0.65)
D-BENCH, canteen and school meal-equivalents (million a year)11.0 and 036.6 and 4.098.4 and 16.0
D-STRETCH, animals spared (million a year)3.2 to 3.49.8 to 10.623.1 to 25.3
D-STRETCH, net CO2e avoided (Mt a year)0.19 (0.11 to 0.34)0.55 (0.33 to 0.99)1.35 (0.80 to 2.39)
R1 import substitution: animals and CO2enonenonenone
R1 import substitution: imports replaced, D-BENCH (USD million a year, gross)4.8 to 7.016.1 to 23.361.8 to 89.3

All rows are our calculation from demand_funder_units.csv . Animal ranges run from the meat mix observed on caterers' menus (low) to the national consumption mix (high); CO2e ranges reflect emission factors.

Per tonne of protein delivered, 2035Meat protein displaced (t)Animals sparedNet t CO2e avoided
R1 import substitution00about 0
R2 upgrades on existing chay days; R6 plant-milk protein00about minus 8 (adds emissions)
R3 hybrids0.9about 540 (mostly birds, about 68 pigs)about 57
R4 canteens, caterer to national meat mix0.8about 745 to 1,090about 45 to 51
R4, a chicken dish replaced0.8about 2,760about 19
R4, a pork dish replaced0.8about 81about 24
R5 household analogues0.2about 270about 5

Source: impact_per_tonne.csv and the caterer-mix check in D8. Demand model .

about 2.4 to 2.7 million
Số con vật tránh được mỗi năm theo kịch bản tham chiếu (2035)
2035Tính toán của nhóm nghiên cứu
Bối cảnh và nguồn

D-BENCH; 93 to 94% chickens and ducks; import substitution spares none. The range reflects the caterer and national meat mixes. Our estimate, not a forecast. 43,24

The demand routes in funder units, 2035

Animals spared a year by route on the benchmark path (D-BENCH), by species, and CO2e avoided (our estimates)

The demand routes in funder units, 2035Stacked bars for 2035 on the benchmark path: added chay days spare about 1.23 million animals (1.18 million poultry), hybrids about 0.42 million, canteens and schools about 0.89 million, household analogues about 0.12 million, import substitution none; about 0.14 Mt CO2e avoided in total.PoultryPigsCattle and buffalo0.00.20.40.60.81.01.21.4Animals spared a year, millionCO2e avoidedAdded chay daysAdded chay days, poultry: 1,182,127 spared a year All animals: 1,234,382Added chay days, pigs: 48,956 spared a year All animals: 1,234,382Added chay days, cattle and buffalo: 3,299 spared a year All animals: 1,234,3821.23 millionAdded chay days: 55,861 t CO2e avoided a year55,861 tHybrid processedmeatHybrid processed meat, poultry: 365,864 spared a year All animals: 422,451Hybrid processed meat, pigs: 53,561 spared a year All animals: 422,451Hybrid processed meat, cattle and buffalo: 3,026 spared a year All animals: 422,4510.42 millionHybrid processed meat: 44,523 t CO2e avoided a year44,523 tCanteens and schoolsCanteens and schools, poultry: 848,428 spared a year All animals: 885,933Canteens and schools, pigs: 35,137 spared a year All animals: 885,933Canteens and schools, cattle and buffalo: 2,368 spared a year All animals: 885,9330.89 millionCanteens and schools: 36,071 t CO2e avoided a year36,071 tHousehold analoguesHousehold analogues, poultry: 111,494 spared a year All animals: 116,422Household analogues, pigs: 4,617 spared a year All animals: 116,422Household analogues, cattle and buffalo: 311 spared a year All animals: 116,4220.12 millionHousehold analogues: 2,066 t CO2e avoided a year2,066 tImport substitutionImport substitution: no animals sparedNone: delivers the most protein but spares no animalsImport substitution: 0 t CO2e avoided a year0 t

National meat mix; a caterer meat mix gives about 0.60 million animals for canteens instead of 0.89 million. What-if estimates, not forecasts.

Nguồn: 43,44,45,24

Xem số liệuẨn số liệu
The demand routes in funder units, 2035
RoutePoultry sparedPigs sparedCattle and buffalo sparedAll animals sparedCO2e avoided (t)
Added chay days1,182,12748,9563,2991,234,38255,861
Hybrid processed meat365,86453,5613,026422,45144,523
Canteens and schools848,42835,1372,368885,93336,071
Household analogues111,4944,617311116,4222,066
Import substitution00000
about 0.14 Mt (0.08 to 0.25)
Lượng CO2e tránh được mỗi năm theo kịch bản tham chiếu (2035)
2035Tính toán của nhóm nghiên cứu
Bối cảnh và nguồn

D-BENCH, net of the replacing protein; about half from displacing beef and buffalo. Treat climate as a co-benefit. Our estimate, not a forecast. 44,45,46

Three things follow :

  • Import substitution scores zero in funder units. R1, 60% of delivered protein, replaces soy protein with soy protein: no animals, about no CO2e. Its value is an import bill of about USD 16 to 23 million a year replaced by 2035 (gross), processing capacity and jobs.
  • Nearly all animals spared are chickens and ducks. A bird carries about 2 kg of carcass and a pig about 66 kg, so even the pork-heavy hybrid route spares about seven birds for every pig. The benchmark path spares about 0.15% of the 1.7 billion birds Vietnam would eat in 2035. A Vietnamese canteen meal shifted spares about 0.015 to 0.020 animals, against about 0.13 in the estimate for Sinergia Animal's programme 31 ; only chicken dishes (0.055) come near it, and chicken leads just 13% of canteen protein dishes. Fish, which leads 26% of canteen dishes, and eggs are not counted.
  • CO2e is small and about half comes from beef and buffalo, which are 8.5% of the meat eaten in 2035. Climate is a co-benefit of these routes, not their case.

What S-ALT 2030 would require, route by route (our calculation) . To displace 11,800 t of meat protein in 2030:

  • Hybrids alone: 74% of all processed meat reformulated with 30% of its meat replaced.
  • Institutional meals alone: 39% of all protein in canteen and school protein dishes switched.
  • Consumer analogues alone: about 131 million regular buyers, more than Vietnam's population, at today's displacement evidence.
  • Added chay days alone: about 0.43 extra meat-free days per person per month across the whole population (about five a year), with 30% compensation.
74% of all processed meat, with 30% of its meat replaced
Điều kiện để đạt S-ALT năm 2030 chỉ bằng sản phẩm thịt pha trộn
2030Tính toán của nhóm nghiên cứu
Bối cảnh và nguồn

Alternatives: 39% of all canteen and school meal protein; about 131 million regular analogue buyers; or about 0.43 extra chay days per person per month. Our estimate. 47,38,10

The last line is the striking one. On paper, the cheapest route to S-ALT's food volumes is cultural, not technological: a small rise in chay occasions, which Vietnam already practises at scale. We have no evidence that chay days are rising (Chay baseline), and no evidence on compensation, so this is a hypothesis for funders and researchers, not a finding. It is also the route that funders find hardest to pay for in Vietnam (18.6).

18.5 Sensitivity

We varied one assumption at a time between its low and high value and recorded total meat protein displaced in D-BENCH in 2035 (2.35 kt at central values) . The largest effects come from the share of people keeping chay days (20 to 50%: 2.0 to 3.0 kt), the share of meat eaten as processed products (3 to 8%: 2.1 to 2.8 kt) and compensation on added chay days (0 to 60%: 2.7 to 2.0 kt). No single assumption moves the 2035 result by more than 0.6 kt, so no plausible single correction brings D-BENCH near S-ALT's 39 kt. The full table is in D8. Demand model.

Three corrections outside the model move delivered protein more than displaced protein (our calculation) . A food pool of 35,000 t lowers R1 in 2035 by about 1.4 kt; an export protein share of 5 to 12% lowers R7 by 1.3 to 2.0 kt, taking the D-BENCH total to 17.1 to 17.8 kt; and counting school plant-slot protein as non-displacing lowers displacement by about 0.06 kt. None changes a conclusion of this chapter.

18.6 What this means for Part IV, and for the frontier

  • Label S-ALT's food side exploratory. The benchmark evidence (a ceiling of 3 to 4% of pre-packaged meat after a decade in rich markets, little displacement, a price gap ten times larger in Vietnam) and our routes both say that 1% of meat protein displaced by 2030 is beyond anything observed. S-ALT remains useful as a what-if for supply planning; it should not be read as a demand path. Unless S-ALT is defined to include growth of traditional chay eating, its food shares are a stretch above every route we can document . The feed side of S-ALT is outside this chapter's scope.
  • Count three things separately. Delivered protein (import substitution, protein upgrades, exports) is what an ingredient maker sells; displaced meat protein is what the supply-security case needs; animals spared and CO2e avoided are what welfare and climate funders count. On the benchmark path in 2035, delivered protein is about eight times displaced protein; the displacing routes spare about 2.4 to 2.7 million animals a year, 93 to 94% of them chickens and ducks, and avoid about 0.14 Mt CO2e (0.08 to 0.25). Import substitution, 60% of delivered protein, spares none and avoids about none .
  • The routes that displace meat run through businesses and institutions: hybrids made by processors, canteen menus set by caterers, and, if it happens, more chay days. In schools, only a labelled blend in minced-meat dishes removes meat; the plant slot belongs to tofu. These are the routes to design for if displacement is the goal.

For each reader.

  • Investors: size an ingredient business on the import-substitution pool (about 23,000 to 26,000 t of protein a year today, from 35,000 to 40,000 t of product), not on consumer forecasts. For soy extrusion, the benchmark path supports about one 1 t per hour line (or two 0.5 t per hour lines) by 2035; the rest of the pool is gluten and isolates, which need other plants. Import substitution will not pass a climate or welfare screen: pitch it on the import bill (about USD 16 to 23 million a year replaced by 2035, gross), jobs and processing capacity. Per tonne of protein, a hybrid extender avoids about 57 t CO2e and a canteen ingredient about 45 to 51 t; climate or welfare money fits those, not import substitution.
  • Startups: the volumes that exist are business-to-business; each 1 t per hour line needs about 7,000 t a year of offtake, more than half of Vietnam's 2025 imports of textured-type protein.
  • Policy makers: do not set national targets from consultancy forecasts. If meat displacement is a goal, institutional menus and processed-meat reformulation are the levers, and both need rules (labelling of blends, a protein-quality basis for public meals). Count school sales into the plant slot as tofu replaced, not meat.
  • Research bodies: the three numbers that most change this chapter are unmeasured. The share of people keeping chay days is capped by national diet data at 7.9% flesh-free person-days, and a lunar-date tabulation of the existing survey interviews is the cheapest test. The share of meat eaten processed is not captured, because the national diet item omits giò and chả. And the species mix and protein of canteen dishes decide animals per meal: published menus support about 20 g per dish, but species vary by caterer.
  • International organisations and funders: match the route to your unit and your rules. Welfare funders: canteens spare the most animals per tonne of protein (about 745 to 1,090 at the observed and national meat mixes, about 2,760 if chicken dishes are replaced, about 81 if pork dishes are), and added chay days spare the most in total but are unmeasured. The funders we found that pay for menu or chay-day work either do not cover Vietnam (ReRoot Asia, Lever, Sinergia Animal, Good Food Fund) or exclude diet change (ACE Movement Grants from September 2026; Nova Vista, whose USD 10 million request funds procurement, advance market commitments and retailer protein ratios and prioritises Japan and Korea); Humane World is the one implementer with Vietnam staff 48,49,50,31,51,32 . Market-shaping funders: procurement of a canteen protein ingredient, processors' blend commitments, and naming and GMO rules, not chay days. Climate funders: totals are small; treat climate as a co-benefit. Development finance: import substitution for its import bill and industrial value, not for displacement. Only 4 of the 19 demand moves in Demand to frontier have a funder whose scope fits and that accepts Vietnam.
  • Manufacturers: hybrids and chay upgrades are small in tonnes but are where your existing brands and lines meet the demand that exists. For hybrids, cost is not the constraint, because soy extension already pays at every hog price; a new extender has to win on sensory tolerance and on the label.

Related: D8. Demand model, Protein balance 2050, Demand to frontier, Export demand.

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