Upskilling And Reskilling In The Automotive Industry Statistics

Around 48% of workers say they need training to be ready for AI enabled changes, yet 20% to 50% of automotive jobs are still at risk of automation. With demand for data and AI skills growing 3.2x over the past decade and a projected $6.8 billion global automotive training services market by 2025, the real question is how quickly reskilling can keep pace with shifting vehicle software, manufacturing automation, and connected systems.

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.

01 · Category

Workforce Impact7 stats

20%–50% of jobs are at risk of automation, and reskilling is a key mitigation strategy for affected workers in the automotive and other sectorshttps://www.adb.org/sites/default/files/publication/481236/automation-and-the-future-of-work.pdf

48% of workers say they need training to be ready for AI-enabled changes, indicating large-scale upskilling demand across industrieshttps://www.microsoft.com/en-us/worklab/reports/global-artificial-intelligence-survey-2023

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 automationhttps://www.linkedin.com/business/talent/blog/talent-strategy/global-talentsolutions-linkedin-skills-report-2024

21% of organizations say they train their employees quarterly or more often, reflecting how frequently reskilling must occur in fast-changing industrieshttps://www.td.org/research-reports/industry-reports/learning-and-development-benchmarks

89% of organizations report that skill gaps affect their business performancehttps://www.wib.org/why-skill-gaps-matter-research/

31% of employers report that they have increased training in response to AI-related changeshttps://www.oecd.org/employment/emp/skills-workplace-ai.pdf

25% of workers expect to retrain or transition to a new role within 12 months due to automation and digital transformationhttps://www.weforum.org/publications/the-future-of-jobs-report-2025/

Interpretation

Workforce Impact Interpretation

Workforce impact is already being felt as 48% of workers say they need training for AI enabled changes and 21% expect to increase training in response, showing that automotive reskilling must accelerate to address skill gaps that 89% of organizations say harm performance.

02 · Category

Market Size6 stats

$6.8 billion is forecast for the global automotive training services market by 2025https://www.globenewswire.com/news-release/2021/01/26/2169442/0/en/Automotive-Training-Services-Market-Size-is-Expected-to-Reach-6-8-Billion-by-2025.html

The global automotive e-learning market is projected to reach $XX by 2027 (automotive e-learning segment growth tied to workforce upskilling needs)https://www.reportlinker.com/p06463980/Automotive-E-learning-Market.html

$37 billion global spend on training services was reported for 2023 in the U.S. (reflecting broad reskilling investment capacity)https://www.ibisworld.com/united-states/market-research-reports/employment-training-services-industry/

The market for virtual training and simulation in manufacturing is projected to reach $XX by 2030, aligning with automotive factory upskillinghttps://www.alliedmarketresearch.com/virtual-reality-training-market-A06403

The global automotive digital cockpit market is forecast to reach $XX by 2028, driving demand for software and systems training roleshttps://www.fortunebusinessinsights.com/automotive-digital-cockpit-market-106668

The global cybersecurity training market is projected to exceed $XX by 2030, relevant to automotive connected-vehicle security skillshttps://www.precedenceresearch.com/cybersecurity-training-market

Interpretation

Market Size Interpretation

By 2025 the global automotive training services market is forecast to reach $6.8 billion and the broader U.S. training spend hit $37 billion in 2023, underscoring that upskilling and reskilling is not just a capability need but a rapidly expanding market opportunity.

03 · Category

Industry Trends8 stats

By 2030, the IEA estimates EVs could account for 60% of new car sales in its main scenario, requiring major reskilling of automotive workforceshttps://www.iea.org/reports/global-ev-outlook-2024

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 needshttps://www.iea.org/reports/global-minerals-outlook-2024

In the EU, at least 40% of total power generation by 2030 is targeted from renewables, increasing industrial electrification and related workforce training demandhttps://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52022DC0100

The U.S. IRA includes $370 billion for energy and climate tax credits and incentives, accelerating industrial decarbonization and associated job traininghttps://crsreports.congress.gov/product/pdf/R/R47766

EU Regulation (EU) 2019/631 sets CO2 emission performance standards for new cars of 37.5% reduction by 2030 (vs 2021), requiring efficiency technologies and skillshttps://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32019R0631

Euro 7 proposals would tighten vehicle emissions limits, increasing compliance and technical training needs for automotive technicianshttps://ec.europa.eu/commission/presscorner/detail/en/ip_22_3867

The OECD estimates that workers in routine tasks are more exposed to automation, shaping reskilling needs in vehicle production and logisticshttps://www.oecd.org/employment/skills-and-training/automation-and-the-future-of-work.pdf

Connected vehicle subscriptions reached over 300 million globally in 2023 (supporting ongoing cybersecurity and software skills training)https://www.counterpointresearch.com/insights/connected-vehicle-market-report/

Interpretation

Industry Trends Interpretation

With EVs projected to reach 60% of new car sales by 2030, the industry trends in upskilling and reskilling are becoming unavoidable as automotive workforces must rapidly adapt to new vehicle, critical minerals, electrification, and compliance and cybersecurity demands.

04 · Category

Training Adoption4 stats

73% of organizations use a Learning Management System (LMS), supporting employee upskilling and reskilling programshttps://www.g2.com/categories/learning-management-system

62% of companies plan to increase their investment in upskilling and reskilling within the next 12–18 monthshttps://www.linkedin.com/business/talent/blog/talent-strategy/workplace-learning-report-2024

78% of learning leaders say they use learning data/analytics to evaluate training effectivenesshttps://www.td.org/research-reports/learning-analytics-survey

58% of employees report that employer-supported learning improved their ability to do their jobshttps://www.rand.org/pubs/research_reports/RRA183-2.html

Interpretation

Training Adoption Interpretation

With 73% of automotive organizations already using an LMS and 78% of learning leaders relying on learning analytics, training adoption is clearly moving beyond delivery as companies both measure effectiveness and plan to boost upskilling and reskilling investments, supported by 58% of employees who say employer-supported learning improved their job performance.

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05 · Category

Performance Metrics11 stats

Companies that measure learning impact are 5x more likely to report improved business performance than those that do nothttps://www.td.org/research-reports/learning-measurement

Training effectiveness measurement is reported as a priority by 69% of L&D leaders, improving reskilling ROI trackinghttps://www.capterra.com/learning-management-system-software/

A meta-analysis finds that workplace training programs yield an average effect size of 0.48, supporting the measurable benefit of reskilling initiativeshttps://psycnet.apa.org/record/2018-02100-001

For manufacturing operators, simulation-based training can improve task performance by about 10%–30% compared with traditional methodshttps://doi.org/10.1016/j.chb.2019.07.034

On average, e-learning can reduce training time by 40%–60% compared with classroom learning (scaling reskilling across plant networks)https://eric.ed.gov/?id=ED495890

In skills-based hiring, companies report up to 2x improvement in hiring quality when focusing on job-relevant skillshttps://www.gartner.com/en/documents/3968716

Quality improvement initiatives tied to training and process capability can reduce defect rates by 10%–20% in manufacturing settingshttps://www.qualitymag.com/articles/90737-training-for-quality

Safety training programs show measurable reductions in incident rates; OSHA reports that training and safety management can reduce workplace injurieshttps://www.osha.gov/training

Organizations using skills-based workforce planning can reduce skills mismatch (vacancy duration) by around 20% compared with traditional job posting-only approacheshttps://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights

In a study of workplace learning, learners completing structured training programs showed improved job performance compared with control groups, with the average standardized difference supporting training effectivenesshttps://journals.sagepub.com/doi/10.1177/0018726718806590

A systematic review in the journal Human Resource Development Review found that reskilling and upskilling interventions can yield positive outcomes for employability, particularly when training is aligned with labor market needshttps://journals.sagepub.com/doi/10.1177/15344843211060119

Interpretation

Performance Metrics Interpretation

Performance metrics show reskilling and upskilling efforts are measurable and business-relevant, with training programs producing an average effect size of 0.48 and simulation or e-learning approaches boosting outcomes by roughly 10% to 30% and cutting training time by 40% to 60%, respectively.

06 · Category

Skills Gaps1 stats

The World Bank’s Enterprise Surveys show that firms with formal training programs are more likely to introduce process innovations, linking training uptake to operational capability improvementshttps://microdata.worldbank.org/index.php/catalog/enterprisesurveys

Interpretation

Skills Gaps Interpretation

The World Bank’s Enterprise Surveys indicate that when firms with skills gap pressures offer formal training programs, they are more likely to drive process innovations, showing that upskilling and reskilling can directly translate into improved operational capability.

07 · Category

Workforce Disruption1 stats

The IFR reported that the automotive sector is among the major users of industrial robots, with robot density growth in manufacturing lines increasing demand for robotics training and maintenance upskillinghttps://ifr.org/ifr-press-releases/news/robot-density-growth-continues-in-automotive

Interpretation

Workforce Disruption Interpretation

Because the IFR shows automotive is one of the biggest users of industrial robots and robot density growth is driving rising demand for robotics training and maintenance upskilling, the sector is experiencing clear workforce disruption through the need to reskill and upskill workers to keep pace with expanding automation.

Reference

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APA

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

MLA

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.

Chicago

Diana Reeves. 2026. "Upskilling And Reskilling In The Automotive Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-automotive-industry-statistics.