Key Takeaways
- In 2022, global production of titanium dioxide (TiO2) pigment reached 8.2 million metric tons, driven primarily by the paints and coatings sector.
- China accounted for 58% of world titanium sponge production in 2022, producing approximately 120,000 metric tons out of a global total of 207,000 metric tons.
- Russia's VSMPO-AVISMA Corporation produced 38,500 metric tons of titanium sponge in 2022, representing about 18.6% of global output.
- Global aerospace titanium consumption reached 65,000 metric tons in 2022, representing 54% of total demand.
- The medical sector consumed 12,000 metric tons of titanium mill products in 2022.
- Industrial applications accounted for 25% of global titanium consumption, or about 30,000 metric tons in 2022.
- Average titanium sponge price in US was $8.50 per kg in Q4 2022.
- Global TiO2 pigment price averaged $3,200 per metric ton in 2022.
- Rutile 95% TiO2 CFR China price reached $1,450 per ton in Dec 2022.
- Aerospace sector uses 50-55% of all titanium mill products globally.
- Titanium dioxide pigments constitute 95% of total titanium consumption by volume.
- Medical implants and devices utilize Grade 23 (Ti-6Al-4V ELI) titanium alloy predominantly.
- World identified titanium reserves total 1.1 billion metric tons of contained TiO2 in 2022.
- Australia holds 28% of global titanium reserves, or 310 million tons TiO2 equivalent.
- China's titanium reserves estimated at 230 million tons TiO2, ranking second globally.
China dominates titanium sponge production, with aerospace driving over half of global demand.
Applications and End-Uses
Applications and End-Uses Interpretation
Consumption and Demand
Consumption and Demand Interpretation
Pricing and Trade
Pricing and Trade Interpretation
Production Statistics
Production Statistics Interpretation
Reserves and Resources
Reserves and Resources 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.
Priyanka Sharma. (2026, February 13). Titanium Industry Statistics. Gitnux. https://gitnux.org/titanium-industry-statistics
Priyanka Sharma. "Titanium Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/titanium-industry-statistics.
Priyanka Sharma. 2026. "Titanium Industry Statistics." Gitnux. https://gitnux.org/titanium-industry-statistics.
Sources & References
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pubs.usgs.gov
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