Key Takeaways
- U.S. engineers employed 1.68 million in 2022
- Global engineering workforce 25 million in 2023
- Civil engineers in U.S. 305,000 jobs in 2022
- Engineering industry to add 2.7M jobs by 2031 U.S.
- Global engineering market to reach $4T by 2030
- Automation to displace 20% routine engineering tasks by 2030
- Global engineering services market size reached $2.8 trillion in 2023
- U.S. engineering construction spending hit $1.8 trillion in 2022
- Engineering software market projected to grow at 12.5% CAGR to 2030
- Global R&D spending by engineering firms $1.2 trillion in 2022
- U.S. engineering R&D as % of GDP 2.8% in 2022
- Corporate engineering R&D top spender Boeing $3.1B in 2022
- Civil engineering projects 40% of global infra spend
- Mechanical engineering dominates manufacturing 30% share
- Electrical engineering in renewables 25% growth
Engineering workforces are rapidly growing and modernizing, with major global shortages and soaring demand for AI and green skills.
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Sector-specific Stats
Sector-specific Stats 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). Engineering Industry Statistics. Gitnux. https://gitnux.org/engineering-industry-statistics
Sophie Moreland. "Engineering Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/engineering-industry-statistics.
Sophie Moreland. 2026. "Engineering Industry Statistics." Gitnux. https://gitnux.org/engineering-industry-statistics.
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