Key Takeaways
- In 2022, 15% of EU new trucks used LNG, cutting diesel use by 20% per vehicle.
- U.S. RNG uptake in trucks reached 1.2 billion diesel gallon equivalents in 2023.
- HVO diesel used in 5% of Nordic fleets 2022, dropping CO2 by 85%.
- U.S. electric truck sales hit 4,800 units in 2023, up 200% YoY.
- Tesla Semi deliveries reached 100 units to PepsiCo by Q1 2024.
- Daimler eCascadia trucks logged 10 million miles in fleets 2023.
- In 2022, the U.S. trucking sector emitted approximately 374 million metric tons of CO2 equivalent, accounting for 24.3% of total transportation greenhouse gas emissions.
- Heavy-duty trucks in the EU contributed 27% of the transport sector's CO2 emissions in 2021, totaling 189 million tons.
- Diesel trucks in the U.S. produced 1.1 billion tons of CO2e from 2010-2020, with a 15% increase despite efficiency gains.
- In 2023, average Class 8 truck fuel efficiency improved to 6.9 mpg, up 1.2% from 2022.
- Aerodynamic trailers boosted fuel efficiency by 7.5% for fleets using them in 2022.
- Low-rolling-resistance tires improved MPG by 4-6% across 500 U.S. fleets in 2021.
- EU CO2 standards require 45% cut by 2030, pushing EV trucks.
- U.S. IRA provides $40B in HVIP vouchers for EV trucks 2023-2032.
- California ACT regulation: 5% ZEV trucks by 2024, 100% by 2040.
Truck decarbonization is accelerating fast, from alt fuels and cleaner tech to big efficiency gains.
Related reading
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Alternative Fuels Adoption Interpretation
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Electric and Autonomous Vehicles
Electric and Autonomous Vehicles Interpretation
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Emissions Data
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Policy and Economic Aspects
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Sustainable Practices
Sustainable Practices 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.
Sophie Moreland. (2026, February 13). Sustainability In The Trucking Industry Statistics. Gitnux. https://gitnux.org/sustainability-in-the-trucking-industry-statistics
Sophie Moreland. "Sustainability In The Trucking Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sustainability-in-the-trucking-industry-statistics.
Sophie Moreland. 2026. "Sustainability In The Trucking Industry Statistics." Gitnux. https://gitnux.org/sustainability-in-the-trucking-industry-statistics.
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