Key Takeaways
- Global crude steel production reached 1,888.3 million tonnes (Mt) in 2023, marking a 0.3% decrease from 2022.
- China produced 1,019.0 Mt of crude steel in 2023, accounting for 54% of global output.
- India’s crude steel production grew by 13.5% to 140.3 Mt in 2023.
- Global apparent steel use reached 1,745.1 Mt in 2023.
- China’s apparent steel use was 920.9 Mt in 2023, 53% of global.
- India’s steel consumption grew 13.3% to 136.1 Mt in 2023.
- Global steel exports totaled 449.2 Mt in 2023.
- China exported 90.3 Mt of steel in 2023, up 32%.
- Japan’s steel exports were 64.0 Mt in 2023, up 15.7%.
- Global steel market revenue was $1.88 trillion in 2023.
- Average steel price (HRC) was $800 per tonne in 2023 globally.
- China steel industry revenue reached $1.05 trillion in 2023.
- Steel recycling rate globally 85% in 2023.
- Steel industry accounts for 7-9% of global CO2 emissions.
- Global steel sector emitted 2.6 Gt CO2 in 2023.
Global steel production dipped slightly in 2023, with mixed regional results and a modest recovery forecast.
Consumption Statistics
Consumption Statistics Interpretation
Economic and Financial Statistics
Economic and Financial Statistics Interpretation
Production Statistics
Production Statistics Interpretation
Sustainability and Environmental Statistics
Sustainability and Environmental Statistics Interpretation
Trade Statistics
Trade Statistics 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.
Lukas Bauer. (2026, February 13). Global Steel Industry Statistics. Gitnux. https://gitnux.org/global-steel-industry-statistics
Lukas Bauer. "Global Steel Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/global-steel-industry-statistics.
Lukas Bauer. 2026. "Global Steel Industry Statistics." Gitnux. https://gitnux.org/global-steel-industry-statistics.
Sources & References
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worldsteel.org
- Reference 2STATISTAstatista.com
statista.com
- Reference 3MCKINSEYmckinsey.com
mckinsey.com
- Reference 4SPGLOBALspglobal.com
spglobal.com
- Reference 5TRADINGECONOMICStradingeconomics.com
tradingeconomics.com
- Reference 6EUROFEReurofer.eu
eurofer.eu
- Reference 7IBISWORLDibisworld.com
ibisworld.com
- Reference 8STEELsteel.gov.in
steel.gov.in
- Reference 9DCEdce.com.cn
dce.com.cn
- Reference 10WOODMACwoodmac.com
woodmac.com
- Reference 11TATASTEELtatasteel.com
tatasteel.com
- Reference 12NUCORnucor.com
nucor.com
- Reference 13IEAiea.org
iea.org
- Reference 14BIRbir.org
bir.org
- Reference 15SWEREAswerea.se
swerea.se
- Reference 16UNEPunep.org
unep.org






