Key Takeaways
- 68% of consumers prefer plant-based alternatives for health reasons in 2023 surveys.
- 42% of U.S. millennials consume meat alternatives weekly as of 2023.
- Demand for low-sugar beverages rose by 25% among Gen Z in 2023.
- F&B industry employed 22 million in U.S. in 2023.
- Global F&B manufacturing workforce 30 million in 2022.
- U.S. restaurant jobs totaled 15.9 million in 2023.
- The global food and beverage market was valued at USD 7.12 trillion in 2023 and is expected to grow at a CAGR of 6.2% from 2024 to 2030, driven by rising demand for convenience foods.
- In 2023, the U.S. food and beverage industry generated revenue of $1.2 trillion, accounting for 5.5% of the national GDP.
- The beverage segment of the global F&B market reached $1.8 trillion in 2022, with non-alcoholic drinks growing at 5.1% CAGR.
- Global food production reached 3.9 billion metric tons in 2022.
- U.S. processed food output grew 2.1% in 2023.
- World milk production hit 881 million metric tons in 2022.
- Global supply chain disruptions affected 40% of F&B companies in 2023.
- Food transportation costs rose 15% globally due to fuel prices in 2022.
- 30% of fresh produce wasted in supply chains worldwide in 2023.
In 2023, health, sustainability, and convenience drove major growth from plant based foods to functional drinks.
Consumer Preferences
Consumer Preferences Interpretation
Employment & Economic Impact
Employment & Economic Impact Interpretation
Market Size & Revenue
Market Size & Revenue Interpretation
Production & Manufacturing
Production & Manufacturing Interpretation
Supply Chain & Logistics
Supply Chain & Logistics Interpretation
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.
Catherine Wu. (2026, February 13). Food And Beverage Industry Statistics. Gitnux. https://gitnux.org/food-and-beverage-industry-statistics
Catherine Wu. "Food And Beverage Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/food-and-beverage-industry-statistics.
Catherine Wu. 2026. "Food And Beverage Industry Statistics." Gitnux. https://gitnux.org/food-and-beverage-industry-statistics.
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