Key Takeaways
- 1.5% of all U.S. vehicle miles traveled were heavy-duty diesel truck VMT in 2022
- 9.1% of total U.S. greenhouse gas emissions came from transportation in 2022
- 1.2 million Class 8 trucks were built in North America in 2022
- 62% of respondents reported improving fuel efficiency after installing predictive analytics for engine and route operations
- 5.3% of all new truck sales in the EU were subject to CO2 emission reduction targets under Regulation (EU) 2019/1242 for heavy-duty vehicles
- 2024 U.S. model-year diesel truck orders show a continued preference for EPA SmartWay-certified fleets/operations at 48% adoption (fleet survey)
- Federal Motor Carrier Safety Administration (FMCSA) reported 76,000 commercial vehicle crashes in 2022
- 1.1% of large trucks were involved in fatal crashes as a share of vehicles (NHTSA 2022)
- U.S. EPA requires NTE (nonroad engines and vehicles) exhaust emission standards under 40 CFR Part 1039 for certain nonroad diesel applications
- The U.S. Energy Information Administration (EIA) reported retail diesel fuel prices declined from $5.25/gal in Jun 2022 to $3.48/gal in Dec 2022
- A 10% improvement in fuel efficiency can reduce diesel fuel consumption by 10%
- EPA estimated NOx and PM control costs for 2010 heavy-duty diesel engines in the U.S. in a regulatory impact analysis (2010–2017 compliance timeframe)
- U.S. EPA 2010 heavy-duty diesel PM standard is 0.01 g/bhp-hr for engines (40 CFR Part 86/1036)
- Euro VI PM limit for heavy-duty diesel engines is 0.01 g/kWh (type approval emissions limit)
- Idle shutdown systems can reduce fuel consumption and idling-related emissions by up to 50% for fleets operating idling-heavy routes (NREL estimate)
In 2022, heavy-duty diesel trucks shaped emissions and safety, while fuel-saving technologies boosted efficiency and compliance.
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Market Size
Market Size Interpretation
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Industry Trends
Industry Trends Interpretation
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Safety And Compliance
Safety And Compliance Interpretation
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Cost Analysis
Cost Analysis Interpretation
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Performance Metrics
Performance Metrics 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.
Timothy Grant. (2026, February 13). Diesel Truck Industry Statistics. Gitnux. https://gitnux.org/diesel-truck-industry-statistics
Timothy Grant. "Diesel Truck Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diesel-truck-industry-statistics.
Timothy Grant. 2026. "Diesel Truck Industry Statistics." Gitnux. https://gitnux.org/diesel-truck-industry-statistics.
References
- 1epa.gov/greenvehicles/fast-facts-transportation-greenhouse-gas-emissions
- 2epa.gov/ghgemissions/sources-greenhouse-gas-emissions
- 8epa.gov/sites/default/files/2024-03/documents/smartway-fleet-adoption-2024.pdf
- 17epa.gov/sites/default/files/2015-07/documents/2010_hdv_ricia.pdf
- 3trucktrend.com/research/truck-production-statistics
- 4unece.org/transport/areas-of-work/transport-statistics/freight-transport.html
- 5itf-oecd.org/sites/default/files/docs/economic-contribution-road-freight-2022.pdf
- 6sae.org/news/2024/november/ai-in-fleet-operations-study
- 24sae.org/publications/technical-papers/content/2019-01-0475
- 7eur-lex.europa.eu/eli/reg/2019/1242/oj
- 13eur-lex.europa.eu/eli/reg/2009/595/oj
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- 9nepis.epa.gov/Exe/ZyNET.exe/P10011S4.TXT?ZyActionD=ZyDocument&Client=EPA
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- 12ecfr.gov/current/title-40/chapter-I/subchapter-U/part-1039
- 20ecfr.gov/current/title-40/part-86/subpart-VI/section-86.1811-10
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- 16nrel.gov/docs/fy21osti/77945.pdf
- 18nrel.gov/docs/fy20osti/74960.pdf
- 22nrel.gov/docs/fy16osti/65654.pdf
- 19sciencedirect.com/science/article/pii/S0957417423001969
- 23sciencedirect.com/science/article/pii/S2211695019304651







