Key Takeaways
- The U.S. was responsible for about 8.9% of global industrial production (proxy context for aggregate intensity) in 2022.
- The global construction aggregates market was valued at approximately $60–65 billion in 2023 (published market estimate).
- The global construction aggregates market is forecast to reach $100+ billion by 2032 (published forecast).
- U.S. limestone production increased to 271 million metric tons in 2023 (USGS Limestone commodity summary).
- U.S. granite production was 3.2 million metric tons in 2023 (USGS commodity summary).
- The U.S. construction aggregates market experienced a price increase where producer price indexes (PPI) for crushed stone rose by X% in 2022 (BLS PPI series).
- In 2021, 23% of construction firms used drones for progress monitoring (technology adoption survey metric).
- In 2022, 27% of construction firms reported using cloud computing services (survey metric).
- In 2023, 31% of asset-intensive industrial firms adopted predictive maintenance analytics (industry survey metric).
- ASTM D1557 specifies modified Proctor compaction with controlled energy levels used to compute maximum dry density and optimum moisture for aggregate base (performance).
- ASTM D698 specifies standard Proctor compaction (standard energy) used for aggregate subgrade performance (performance).
- The AASHTO T99 test method provides a compaction quality assessment with specified energy input for aggregates and soils (performance metric).
- The EPA requires compliance with PM emission limits for crushed stone processing under NSPS/permits (regulatory cost driver).
- Air permits for aggregate processing often require control efficiency for particulate emissions of at least 95% with baghouses (control efficiency typical regulatory requirement).
- In 2023, EIA natural gas prices averaged about $2.46 per MMBtu (input cost for some processing).
In 2022 and 2023, rising infrastructure demand, prices, and digitization drove major growth in U.S. and global construction aggregates.
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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.
Stefan Wendt. (2026, February 13). Aggregate Industry Statistics. Gitnux. https://gitnux.org/aggregate-industry-statistics
Stefan Wendt. "Aggregate Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/aggregate-industry-statistics.
Stefan Wendt. 2026. "Aggregate Industry Statistics." Gitnux. https://gitnux.org/aggregate-industry-statistics.
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