Key Takeaways
- Global onshore wind capacity reached 837 GW by the end of 2022, with China leading at 328 GW installed.
- Offshore wind capacity worldwide hit 35 GW in 2022, growing by 26% from the previous year.
- The United States had 141 GW of wind capacity installed as of 2023.
- Worldwide wind power generated 2,089 TWh in 2022, up 9% from 2021.
- Wind provided 10.2% of US electricity in 2022, totaling 434 TWh.
- Onshore wind LCOE averaged 33 USD/MWh globally in 2022.
- Wind industry created 1.3 million jobs globally in 2022.
- US wind sector employed 120,000 workers in 2022.
- Investment in wind power reached $180 billion globally in 2022.
- Wind power avoided 1.5 billion tonnes CO2 globally in 2022.
- US wind energy displaced 300 million metric tons CO2 in 2022.
- Wind turbines recycle 85-90% of blade materials by weight.
- Average turbine hub height increased to 100m, improving yield 15%.
- Rotor diameters grew to 160m average for new onshore turbines.
- 15 MW offshore prototypes tested successfully in 2023.
Global wind power capacity is expanding rapidly and generating record amounts of clean electricity worldwide.
Capacity and Installation
Capacity and Installation Interpretation
Economics and Jobs
Economics and Jobs Interpretation
Energy Production
Energy Production Interpretation
Environmental Impact
Environmental Impact Interpretation
Policy, Investment, and Market Trends
Policy, Investment, and Market Trends Interpretation
Technology and Innovation
Technology and Innovation 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.
Priya Chandrasekaran. (2026, February 13). Wind Power Industry Statistics. Gitnux. https://gitnux.org/wind-power-industry-statistics
Priya Chandrasekaran. "Wind Power Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/wind-power-industry-statistics.
Priya Chandrasekaran. 2026. "Wind Power Industry Statistics." Gitnux. https://gitnux.org/wind-power-industry-statistics.
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