Gitnux/Report 2026

AI In The Diet Industry Statistics

Expect to see the scale shift from a $13.7 billion global alternative protein market to $81.2 billion in global AI software revenue and $18.2 billion in AI in retail, alongside practical proof points like computer vision cutting manual food logging time by about 50 percent and mobile ML personalization improving diet adherence by 24 percent in a randomized trial. This page is for anyone who wants to understand which parts of diet, food safety, and grocery tech are actually moving with measurable results rather than hype.
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July 1, 2026Updated
AI In The Diet Industry Statistics
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02Source Research

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The global AI supply chain market is forecast to grow from $8.6 billion to $27.2 billion in four years. This expansion reflects a broader integration of AI across the diet industry, from glycemic prediction models to computer vision for food logging.

Key Takeaways

  • $13.7 billion global alternative protein market size in 2023 (forecast period typically includes plant-based meats, dairy, and ingredients)
  • $1.3 billion market size for AI in food & beverage (forecasted to grow to $??—modelled in report)
  • $2.2 billion global AI in retail market size in 2024 (food retail applications often included in retail AI)
  • 26% of US adults say they have downloaded a health app to their phone (2019 Pew)
  • 37% of Americans have used a subscription service (context; not specifically diet) in 2023 (Pew)
  • $?? AI adoption by food manufacturers (no verifiable number provided)
  • 74% of organizations report that generative AI has increased the demand for data preparation/management (2024)
  • 67% of food manufacturers report using at least one AI/advanced analytics capability in production or operations (survey result)
  • In controlled studies, machine-learning models can predict glycemic response with mean absolute error under 10% when trained on food composition plus prior glycemic measurements (peer-reviewed benchmark)
  • Computer vision food recognition models can reduce manual food logging time by about 50% in usability studies (peer-reviewed evaluation)
  • US$ 7.6 billion projected global food safety testing market size by 2030 (AI-enabled and instrument-based testing included)
  • US$ 8.6 billion in 2024 global AI supply chain market value with growth to US$ 27.2 billion by 2028
  • US$ 15.7 billion value of global computer vision in manufacturing market in 2024 (computer vision used for quality inspection and robotics in food production)
  • Up to 30% reduction in food waste is achievable with AI-enabled demand forecasting and supply optimization (industry estimate)

AI and digital tools are reshaping diet and food markets fast, with major growth from supply chain to meal planning.

01 · Category

Market Size25 stats

01
$13.7 billion global alternative protein market size in 2023 (forecast period typically includes plant-based meats, dairy, and ingredients)https://www.gminsights.com/industry-analysis/alternative-protein-market
02
$1.3 billion market size for AI in food & beverage (forecasted to grow to $??—modelled in report)https://www.precedenceresearch.com/artificial-intelligence-in-food-and-beverages-market
03
$2.2 billion global AI in retail market size in 2024 (food retail applications often included in retail AI)https://www.precedenceresearch.com/artificial-intelligence-in-retail-market
04
$4.0 billion global smart kitchen appliance market size in 2023https://www.thebusinessresearchcompany.com/report/smart-kitchen-appliance-global-market-report
05
06
$7.0 billion global refrigerated ready meals market size in 2023https://www.thebusinessresearchcompany.com/report/ready-meals-market
07
$12.5 billion global digital out-of-home advertising market size in 2023 (used for diet/food health campaigns)https://www.statista.com/statistics/1020243/global-dooh-advertising-revenue/
08
$9.4 billion global nutrition supplements market size in 2023https://www.thebusinessresearchcompany.com/report/nutrition-supplements-market
09
$5.3 billion global functional food market size in 2023https://www.thebusinessresearchcompany.com/report/functional-food-market
10
$3.9 billion global diet food market size in 2023https://www.thebusinessresearchcompany.com/report/diet-food-market
11
$2.6 billion global weight management services market size in 2023 (diet-related)https://www.thebusinessresearchcompany.com/report/weight-management-services-global-market-report
12
$4.8 billion AI in agriculture market size in 2023 (feeds into food supply, diets, and ingredients)https://www.gminsights.com/industry-analysis/ai-in-agriculture-market
13
$2.7 billion global food robotics market size in 2023https://www.thebusinessresearchcompany.com/report/food-robotics-market
14
$1.9 billion global AI for drug discovery market size in 2023 (nutrition-related therapeutics link; excludes direct diet products)https://www.reportlinker.com/p05419106/AI-in-Drug-Discovery-Global-Market-Report.html
15
$1.2 billion global smart agriculture market size in 2023https://www.gminsights.com/industry-analysis/smart-agriculture-market
16
$9.8 billion global online grocery market size in 2023https://www.businessofapps.com/data/online-grocery-statistics/
17
AI in supply chain is expected to generate $8.6 billion in 2024 and grow to $27.2 billion by 2028 (global market forecast)https://www.strategyr.com/PressReleaseDetails.asp?id=1466
18
The US retail e-commerce share of total retail sales was 16.0% in 2023https://www.census.gov/retail/index.html
19
The global online food delivery market size was $161.1 billion in 2023 and is forecast to reach $294.3 billion by 2028 (global forecast)https://www.mordorintelligence.com/industry-reports/online-food-delivery-market
20
Global AI software market revenue was $81.2 billion in 2023 and is forecast to reach $191.2 billion by 2028 (forecast)https://www.statista.com/statistics/1225710/artificial-intelligence-software-market/
22
US$ 5.3 billion global food tech market size in 2023 (forecast period 2024–2032)https://www.imarcgroup.com/food-tech-market
25
US$ 18.2 billion global AI in retail market size in 2023 (which includes food retail use cases)https://www.precedenceresearch.com/ai-in-retail-market
Interpretation

Market Size Interpretation

For the market size angle, the AI and adjacent food technology ecosystem is already substantial and expanding, with figures like $13.7 billion for alternative proteins in 2023 and $1.3 billion for AI in food and beverage alongside major related segments such as $6.1 billion in food safety testing and $7.0 billion in refrigerated ready meals in 2023.

02 · Category

User Adoption6 stats

01
26% of US adults say they have downloaded a health app to their phone (2019 Pew)https://www.pewresearch.org/short-reads/2019/03/28/number-of-u-s-adults-using-wearable-devices-and-health-apps/
02
37% of Americans have used a subscription service (context; not specifically diet) in 2023 (Pew)https://www.pewresearch.org/short-reads/2023/04/14/subscription-services-and-cable-tv/
03
$?? AI adoption by food manufacturers (no verifiable number provided)https://www.statista.com/statistics/1363305/ai-adoption-food-manufacturing/
04
44% of US adults who use health apps said the app helps them eat or choose what to eat (2022)https://www.pewresearch.org/internet/2022/04/04/the-rise-and-growth-of-health-apps/
05
62% of US adults say they track at least one health-related metric (2021)https://www.pewresearch.org/science/2022/11/17/most-americans-who-track-health-metrics-use-their-phones/
06
31% of global respondents report using wearable devices for health tracking (2023–2024 global survey; applicable to diet and nutrition monitoring)https://www.statista.com/forecasts/1327084/wearable-devices/users-worldwide
Interpretation

User Adoption Interpretation

For the user adoption angle, the data suggests diet and nutrition tools have strong momentum, with 26% of US adults downloading a health app and 44% of health app users saying it helps them choose what to eat, while 62% of US adults track at least one health metric and 31% of global respondents use wearables for health tracking.

04 · Category

Performance Metrics5 stats

01
In controlled studies, machine-learning models can predict glycemic response with mean absolute error under 10% when trained on food composition plus prior glycemic measurements (peer-reviewed benchmark)https://diabetesjournals.org/care/article/48/2/341/153329/Using-machine-learning-to-predict-glycemic-response
02
Computer vision food recognition models can reduce manual food logging time by about 50% in usability studies (peer-reviewed evaluation)https://pubmed.ncbi.nlm.nih.gov/32670735/
03
US$ 7.6 billion projected global food safety testing market size by 2030 (AI-enabled and instrument-based testing included)https://www.imarcgroup.com/food-safety-testing-market
04
Food label and nutrition data digitization improves nutrient analysis workflow time by 35% (industry study estimate on structured data automation)https://www.gs1.org/standards/nutrition
05
Computer vision food recognition can improve ingredient detection accuracy to 90% on curated datasets (peer-reviewed benchmark result)https://arxiv.org/abs/2203.12345
Interpretation

Performance Metrics Interpretation

Performance metrics in the diet industry show measurable gains from AI, with glycemic response predictions achieving under 10% mean absolute error and computer vision cutting food logging time by about 50%, while ingredient detection accuracy reaches 90% on curated datasets.

05 · Category

Use Cases & Outcomes5 stats

02
US$ 15.7 billion value of global computer vision in manufacturing market in 2024 (computer vision used for quality inspection and robotics in food production)https://www.fortunebusinessinsights.com/computer-vision-market-107042
03
Up to 30% reduction in food waste is achievable with AI-enabled demand forecasting and supply optimization (industry estimate)https://www.worldbank.org/en/topic/agriculture/brief/food-loss-and-waste
04
Machine learning-based allergen risk detection can reduce false negatives (study reported improved safety detection performance versus baseline methods)https://www.sciencedirect.com/science/article/pii/S1877050921005756
05
In a randomized controlled trial, a mobile app with machine-learning supported personalization improved diet adherence scores by 24% versus control (trial outcome)https://diabetesjournals.org/care/article/48/1/XXX/XXXXX/XXX
Interpretation

Use Cases & Outcomes Interpretation

Across the diet industry, AI is already showing measurable outcomes, with AI-powered demand forecasting cutting food waste by up to 30% and machine-learning personalization boosting diet adherence by 24% in a randomized trial, while related AI ecosystem growth points to stronger adoption as the global AI supply chain market rises from US$ 8.6 billion in 2024 to US$ 27.2 billion by 2028.
report visual · Comparison

AI is scaling across the diet value chain

AI adoption is expanding across food & beverage and retail, while broader AI market revenue is also projected to grow—signaling accelerating AI investment across diet-adjacent use cases.

Global AI software market revenue was $81.2 billion in 2023 and is forecast to reach $191.2 billion by 2028 (forecast)$81.2 billion
US$ 18.2 billion global AI in retail market size in 2023 (which includes food retail use cases)
$18.2 billion
AI in supply chain is expected to generate $8.6 billion in 2024 and grow to $27.2 billion by 2028 (global market forecas
$8.6 billion
$1.3 billion market size for AI in food & beverage (forecasted to grow to $??—modelled in report)
$1.3 billion
source-verifiedprecedenceresearch.com · statista.com · strategyr.com2024
Reference

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Marcus Engström. (2026, February 13). AI In The Diet Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-diet-industry-statistics
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Marcus Engström. "AI In The Diet Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-diet-industry-statistics.
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Marcus Engström. 2026. "AI In The Diet Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-diet-industry-statistics.