Key Takeaways
- Global CCS capacity operational in 2023 reached 45 MtCO2 per year across 43 commercial facilities
- The CCUS project pipeline grew to 402 projects in development by end-2023, representing 440 MtCO2/year capture potential
- CCUS market size projected to reach USD 7.5 billion by 2028 at 12.6% CAGR from 2023
- CCUS technology readiness: Post-combustion at TRL 9, pre-combustion TRL 8
- Direct Air Capture (DAC) energy intensity: 1.5-2.5 GJ/tonne CO2 captured
- Amine-based post-combustion capture efficiency: 90-95% CO2 purity at 80% recovery
- 193 active CO2 storage sites globally with 750 MtCO2 injected since 1996
- Sleipner project (Norway): 1 MtCO2/year stored since 1996
- Boundary Dam (Canada): 1 MtCO2/year captured since 2014 from coal plant
- Global 45Q tax credit claims: USD 1.2 billion awarded for 12 MtCO2 by 2023
- Levelized cost of CCS for coal power: USD 60-120/tonne CO2 avoided in 2023
- DAC cost reduction: from USD 600/t to USD 100-200/t by 2030 projected
- Number of countries with CCS policy support: 25 as of 2023
- EU Net-Zero Industry Act mandates 50 MtCO2/year CCUS by 2030
- US BIL funds USD 3.5 billion for 4 DAC hubs by 2030
The carbon capture industry is rapidly scaling with strong investment and policy support worldwide.
Costs and Economics
Costs and Economics Interpretation
Market Size and Growth
Market Size and Growth Interpretation
Policy and Regulations
Policy and Regulations Interpretation
Projects and Deployments
Projects and Deployments Interpretation
Technology and Methods
Technology and Methods 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.
Gabrielle Fontaine. (2026, February 13). Carbon Capture Industry Statistics. Gitnux. https://gitnux.org/carbon-capture-industry-statistics
Gabrielle Fontaine. "Carbon Capture Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/carbon-capture-industry-statistics.
Gabrielle Fontaine. 2026. "Carbon Capture Industry Statistics." Gitnux. https://gitnux.org/carbon-capture-industry-statistics.
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