Key Takeaways
- 20%–50% of jobs are at risk of automation, and reskilling is a key mitigation strategy for affected workers in the automotive and other sectors
- 48% of workers say they need training to be ready for AI-enabled changes, indicating large-scale upskilling demand across industries
- 3.2x growth in the demand for data and AI skills in the past decade, showing accelerating skill requirements relevant to vehicle software and manufacturing automation
- $6.8 billion is forecast for the global automotive training services market by 2025
- The global automotive e-learning market is projected to reach $XX by 2027 (automotive e-learning segment growth tied to workforce upskilling needs)
- $37 billion global spend on training services was reported for 2023 in the U.S. (reflecting broad reskilling investment capacity)
- By 2030, the IEA estimates EVs could account for 60% of new car sales in its main scenario, requiring major reskilling of automotive workforces
- The IEA projects that global demand for critical minerals for clean energy technologies will rise by 40–50% by 2030, increasing upstream and manufacturing skills needs
- In the EU, at least 40% of total power generation by 2030 is targeted from renewables, increasing industrial electrification and related workforce training demand
- 73% of organizations use a Learning Management System (LMS), supporting employee upskilling and reskilling programs
- 62% of companies plan to increase their investment in upskilling and reskilling within the next 12–18 months
- 78% of learning leaders say they use learning data/analytics to evaluate training effectiveness
- Companies that measure learning impact are 5x more likely to report improved business performance than those that do not
- Training effectiveness measurement is reported as a priority by 69% of L&D leaders, improving reskilling ROI tracking
- A meta-analysis finds that workplace training programs yield an average effect size of 0.48, supporting the measurable benefit of reskilling initiatives
Automation risk is rising fast, but training and reskilling are essential to keep automotive workers job ready.
Related reading
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Automotive Aftermarket Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Material Handling Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Video Game Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Home Improvement Industry Statistics
01 · Category
Workforce Impact7 stats
Workforce Impact Interpretation
02 · Category
Market Size6 stats
Market Size Interpretation
03 · Category
Industry Trends8 stats
Industry Trends Interpretation
04 · Category
Training Adoption4 stats
Training Adoption Interpretation
More related reading
05 · Category
Performance Metrics11 stats
Performance Metrics Interpretation
06 · Category
Skills Gaps1 stats
Skills Gaps Interpretation
07 · Category
Workforce Disruption1 stats
Workforce Disruption Interpretation
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.
Diana Reeves. (2026, February 13). Upskilling And Reskilling In The Automotive Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-automotive-industry-statistics
Diana Reeves. "Upskilling And Reskilling In The Automotive Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-automotive-industry-statistics.
Diana Reeves. 2026. "Upskilling And Reskilling In The Automotive Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-automotive-industry-statistics.
Sources & references
38 datasets cited across this report · attribution is report-level
+7 additional datasets cited (not shown individually)

