Key Takeaways
- The global confectionery market was valued at USD 220.4 billion in 2023 and is expected to grow at a CAGR of 4.2% from 2024 to 2030, driven by rising demand for premium and functional confectionery.
- In 2023, the chocolate confectionery segment accounted for over 52% of the global confectionery market revenue, reaching approximately USD 115 billion.
- The sugar confectionery market size stood at USD 48.2 billion in 2022, projected to reach USD 62.5 billion by 2030 at a CAGR of 3.3%.
- World annual cocoa production reached 5.1 million metric tons in 2023/24 season.
- Ivory Coast produced 2.1 million metric tons of cocoa beans in 2023, 42% of global supply.
- Global sugar production for confectionery use was 185 million metric tons in 2023.
- Per capita chocolate consumption in Switzerland averaged 11.9 kg in 2023.
- U.S. consumers ate 5.5 kg of chocolate per capita annually in 2023.
- Germany’s average annual gum consumption per person was 1.2 kg in 2023.
- Hershey holds 34% market share in U.S. chocolate confectionery in 2023.
- Mars Inc. commands 29% of global chocolate market share in 2023.
- Nestlé leads in ice cream and confectionery hybrids with 15% global share.
- 75% of new confectionery launches in 2023 featured low/no sugar claims.
- Plant-based confectionery grew 28% in new product launches in 2023.
- 62% of consumers seek functional benefits like energy boost in candy.
The global confectionery market powers ahead in 2026, fueled by surging demand for premium, functional, and health-conscious chocolates and candies.
Competitive Landscape
Competitive Landscape Interpretation
Consumption and Demand
Consumption and Demand Interpretation
Emerging Trends and Forecasts
Emerging Trends and Forecasts Interpretation
Market Size and Growth
Market Size and Growth Interpretation
Production and Supply Chain
Production and Supply Chain 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.
David Sutherland. (2026, February 13). Confectionery Industry Statistics. Gitnux. https://gitnux.org/confectionery-industry-statistics
David Sutherland. "Confectionery Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/confectionery-industry-statistics.
David Sutherland. 2026. "Confectionery Industry Statistics." Gitnux. https://gitnux.org/confectionery-industry-statistics.
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