Key Takeaways
- 2.1 W/mK in-plane thermal conductivity for CVD graphene reported at room temperature in a peer-reviewed study (reported thermal conductivity)
- 1.0 gigapascal (1 GPa) tensile strength reported for certain reduced graphene oxide films in a peer-reviewed study (measurable performance benchmark)
- 2.6 million m2/kg specific surface area reported for graphene in a peer-reviewed paper on sorbents/materials (reported measurable surface area)
- United States accounted for about 10% of global graphene-related market consumption in 2023 (consumption share reported)
- EU accounted for about 25% of global graphene-related market demand in 2023 (demand share reported)
- China accounted for the largest share of graphene production capacity in 2022 (reported capacity share in industry report)
- Demand from batteries was the fastest-growing end-use segment cited by a market research report (growth rate quantified in the report)
- 14.0% of global participants in an industry survey reported using graphene/nanomaterials for coatings by 2023 (share using graphene/nanomaterials)
- Graphene was included in the EU’s list of materials for the 2022 ‘Nanomaterials in consumer products’ monitoring (regulatory attention indicator)
- $1.5 billion revenue in 2022 for graphene-enhanced coatings segment (reported/estimated market revenue figure used in market sizing studies)
- $2.1 billion global graphene battery market size in 2023 (estimated market value for graphene used in batteries)
- $1.8 billion global graphene supercapacitor market size in 2022 (estimated market value for graphene-based supercapacitors)
- €1.8 billion total funding volume for the Graphene Flagship (EU-funded program under Horizon 2020/ERA).
- 2022: India announced 1 graphene/2D-materials-related R&D program start in a national science roadmap summary (program count metric).
Graphene is scaling fast from strong heat and barrier performance to booming batteries and coatings markets.
Related reading
Performance Metrics
Performance Metrics Interpretation
Regional Trade
Regional Trade Interpretation
Industry Trends
Industry Trends Interpretation
Market Size
Market Size Interpretation
Industry Funding
Industry Funding 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.
Christopher Morgan. (2026, February 13). Graphene Industry Statistics. Gitnux. https://gitnux.org/graphene-industry-statistics
Christopher Morgan. "Graphene Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/graphene-industry-statistics.
Christopher Morgan. 2026. "Graphene Industry Statistics." Gitnux. https://gitnux.org/graphene-industry-statistics.
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