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.
Related reading
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)
02
$1.3 billion market size for AI in food & beverage (forecasted to grow to $??—modelled in report)
03
$2.2 billion global AI in retail market size in 2024 (food retail applications often included in retail AI)
04
$4.0 billion global smart kitchen appliance market size in 2023
05
$6.1 billion global food safety testing market size in 2023
06
$7.0 billion global refrigerated ready meals market size in 2023
07
$12.5 billion global digital out-of-home advertising market size in 2023 (used for diet/food health campaigns)
08
$9.4 billion global nutrition supplements market size in 2023
09
$5.3 billion global functional food market size in 2023
10
$3.9 billion global diet food market size in 2023
11
$2.6 billion global weight management services market size in 2023 (diet-related)
12
$4.8 billion AI in agriculture market size in 2023 (feeds into food supply, diets, and ingredients)
13
$2.7 billion global food robotics market size in 2023
14
$1.9 billion global AI for drug discovery market size in 2023 (nutrition-related therapeutics link; excludes direct diet products)
15
$1.2 billion global smart agriculture market size in 2023
16
$9.8 billion global online grocery market size in 2023
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)
18
The US retail e-commerce share of total retail sales was 16.0% in 2023
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)
20
Global AI software market revenue was $81.2 billion in 2023 and is forecast to reach $191.2 billion by 2028 (forecast)
21
3.3% average annual growth (CAGR) projected for the global food supply chain management market from 2024 to 2030
22
US$ 5.3 billion global food tech market size in 2023 (forecast period 2024–2032)
23
US$ 7.6 billion projected global digital food marketing market size by 2030 (forecast period 2023–2030)
24
US$ 14.8 billion projected global food e-commerce market size in 2030 (forecast period 2024–2030)
25
US$ 18.2 billion global AI in retail market size in 2023 (which includes food retail use cases)
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)
02
37% of Americans have used a subscription service (context; not specifically diet) in 2023 (Pew)
03
$?? AI adoption by food manufacturers (no verifiable number provided)
04
44% of US adults who use health apps said the app helps them eat or choose what to eat (2022)
05
62% of US adults say they track at least one health-related metric (2021)
06
31% of global respondents report using wearable devices for health tracking (2023–2024 global survey; applicable to diet and nutrition monitoring)
Interpretation
User Adoption Interpretation
For the user adoption angle, the data suggests diet and nutrition tools have strong momentum, with 26% of US adults downloading a health app and 44% of health app users saying it helps them choose what to eat, while 62% of US adults track at least one health metric and 31% of global respondents use wearables for health tracking.
03 · Category
Industry Trends2 stats
01
74% of organizations report that generative AI has increased the demand for data preparation/management (2024)
02
67% of food manufacturers report using at least one AI/advanced analytics capability in production or operations (survey result)
Interpretation
Industry Trends Interpretation
Industry trends show that 74% of organizations say generative AI has boosted the need for data preparation and management, and 67% of food manufacturers already use at least one AI or advanced analytics capability in production or operations.
More related reading
04 · Category
Performance Metrics5 stats
01
In controlled studies, machine-learning models can predict glycemic response with mean absolute error under 10% when trained on food composition plus prior glycemic measurements (peer-reviewed benchmark)
02
Computer vision food recognition models can reduce manual food logging time by about 50% in usability studies (peer-reviewed evaluation)
03
US$ 7.6 billion projected global food safety testing market size by 2030 (AI-enabled and instrument-based testing included)
04
Food label and nutrition data digitization improves nutrient analysis workflow time by 35% (industry study estimate on structured data automation)
05
Computer vision food recognition can improve ingredient detection accuracy to 90% on curated datasets (peer-reviewed benchmark result)
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
01
US$ 8.6 billion in 2024 global AI supply chain market value with growth to US$ 27.2 billion by 2028
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)
03
Up to 30% reduction in food waste is achievable with AI-enabled demand forecasting and supply optimization (industry estimate)
04
Machine learning-based allergen risk detection can reduce false negatives (study reported improved safety detection performance versus baseline methods)
05
In a randomized controlled trial, a mobile app with machine-learning supported personalization improved diet adherence scores by 24% versus control (trial outcome)
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
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.
APA
Marcus Engström. (2026, February 13). AI In The Diet Industry Statistics. Gitnux. https://gitnux.org/ai-in-the-diet-industry-statistics
MLA
Marcus Engström. "AI In The Diet Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ai-in-the-diet-industry-statistics.
Chicago
Marcus Engström. 2026. "AI In The Diet Industry Statistics." Gitnux. https://gitnux.org/ai-in-the-diet-industry-statistics.
Sources & references
43 datasets cited across this report · attribution is report-level
+22 additional datasets cited (not shown individually)