Key Takeaways
- Global primary plastics production reached about 460.3 million tonnes in 2019.
- Global primary plastics production reached about 367.1 million tonnes in 2000.
- Global primary plastics production increased by about 25% between 2010 and 2019 (from ~280.4 Mt to ~460.3 Mt).
- Global CO2 emissions from cement production were about 1.5 billion tonnes in 2019 (direct process emissions plus fuel).
- Global CO2 emissions from cement production were about 2.8 billion tonnes in 2022.
- Cement industry accounts for about 7% of global CO2 emissions.
- In 2019, about 71% of plastic waste generated was not recycled.
- In 2019, about 9% of plastic waste was recycled.
- In 2019, about 12% of plastic waste was incinerated.
- In 2019, global primary plastic materials (virgin plastic) demand was about 368 Mt.
- In 2019, global plastic demand was about 460 Mt primary plastic (production).
- The value of the global chemicals market was about $4.0 trillion in 2022.
- The U.S. durable goods manufacturing shipments in 2023 were about $1.7 trillion (materials-intensive proxy).
- The U.S. manufacturing output index (materials-intensive industries) in 2023 averaged about 106.5 (index, 2017=100).
- Manufacturing employment in the EU27 was about 30.6 million in 2022.
Rising plastics and cement output boosts materials economies, yet emissions and waste surge.
Production & Trade
Production & Trade Interpretation
Emissions & Energy Use
Emissions & Energy Use Interpretation
Waste, Recycling & Circularity
Waste, Recycling & Circularity Interpretation
Policy, Markets & Investment
Policy, Markets & Investment Interpretation
Business & Workforce
Business & Workforce 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 Kowalski. (2026, February 13). Materials Industry Statistics. Gitnux. https://gitnux.org/materials-industry-statistics
David Kowalski. "Materials Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/materials-industry-statistics.
David Kowalski. 2026. "Materials Industry Statistics." Gitnux. https://gitnux.org/materials-industry-statistics.
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