Key Takeaways
- 108 million Americans are on diets annually.
- 55% of American women and 68% of men have attempted weight loss diets.
- Average American spends $500 yearly on dieting products.
- 95% of diets fail long-term.
- Average weight loss on commercial diets: 5-10% body weight short-term.
- Yo-yo dieting increases heart disease risk by 66%.
- AI-driven diet personalization grew 25% in 2023.
- Personalized nutrition market to hit $64B by 2028.
- Telehealth weight loss consultations up 300% post-COVID.
- The global weight loss and diet market size was valued at USD 224.68 billion in 2022 and is expected to grow at a CAGR of 8.1% from 2023 to 2030.
- U.S. weight loss market revenue reached $78.7 billion in 2023.
- The meal replacement shakes segment dominated the diet market with a 35% share in 2022.
- Atkins diet most popular in US with 12% usage.
- Keto diet followed by 10% of Americans in 2023.
- Ozempic/Wegovy sales $18 billion in 2023.
Most Americans try multiple diets, but nearly all regain weight, fueling booming diet app and supplement spending.
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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.
Leah Kessler. (2026, February 27). Diet Industry Statistics. Gitnux. https://gitnux.org/diet-industry-statistics
Leah Kessler. "Diet Industry Statistics." Gitnux, 27 Feb 2026, https://gitnux.org/diet-industry-statistics.
Leah Kessler. 2026. "Diet Industry Statistics." Gitnux. https://gitnux.org/diet-industry-statistics.
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