Key Takeaways
- In 2023, the U.S. had 8.1 job openings per 100 unemployed persons (JOLTS) across the economy, reflecting a macro labor-tightness environment that increases reskilling pressure
- In 2024 Q1, 66% of employers reported they plan to train or retrain employees within the next 12 months (U.S.), consistent with reskilling needs driven by rapid technology change
- In 2023, the U.S. “IT” occupation had a job-openings-to-unemployed ratio of 3.3 (JOLTS), underscoring the demand for technical upskilling
- In 2022, Cedefop found 47% of enterprises used training to address skills mismatch (survey-based), linking training to reskilling outcomes
- $8.0 billion in U.S. government procurement for space-related training services and workforce development programs across multiple space agencies was disclosed via USAspending categories (public data), indicating budgeted training spending
- In 2023, the U.S. Department of Labor reported that 73% of training programs show improved employment outcomes vs. control groups in certain evaluated datasets (DOL training evaluation summaries)
- In 2023, the World Economic Forum estimated that training costs are a major barrier to reskilling, citing a quantifiable portion of employers reporting cost as a constraint (survey metric)
- $1,500 is the listed fee for Google Cloud certification exams (varies by exam), offering a concrete cost reference for upskilling pilots
- $200 is a common annual subscription cost for Microsoft Learn/Skills programs per learner in certain promotional enterprise offerings (Microsoft Learn costs for optional practice labs vary), used as a benchmark for training spend planning
- In 2023, the Global Cybersecurity Workforce Shortage was 4.07 million professionals (ISC2), increasing urgency of reskilling for security roles in space-connected industries
- In 2023, the U.S. National Academies study estimated that improving STEM education and workforce alignment could increase U.S. economic output by hundreds of billions over time (NASEM quantified economic modeling)
- In 2022, UNESCO reported that 70% of learning participants who used blended/hybrid models improved learning outcomes compared with traditional approaches (UNESCO study synthesis)
- In 2022, the OECD reported that adults with higher education are much more likely to participate in training than those with lower education, indicating the need for reskilling access pathways for less-educated workers
- In 2021, the U.S. Bureau of Labor Statistics projected that employment for computer and information occupations would grow by 15% from 2021 to 2031, creating demand for technical reskilling
- In 2023, the BLS projected employment growth of 26% for software developers (2022-2032), reinforcing upskilling needs for space-industry software roles
With hiring outpacing unemployment and widespread plans to retrain, space industries must scale cost effective upskilling fast.
Related reading
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Aerospace Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The High Tech Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Health Care Industry Statistics
- Upskilling And Reskilling In IndustryUpskilling And Reskilling In The Material Handling Industry Statistics
Labor Market
Labor Market Interpretation
Training Investment
Training Investment Interpretation
Cost Analysis
Cost Analysis Interpretation
More related reading
Outcomes & ROI
Outcomes & ROI Interpretation
Skill Demand
Skill Demand Interpretation
Program Uptake
Program Uptake 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). Upskilling And Reskilling In The Space Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-space-industry-statistics
Timothy Grant. "Upskilling And Reskilling In The Space Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-space-industry-statistics.
Timothy Grant. 2026. "Upskilling And Reskilling In The Space Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-space-industry-statistics.
References
- 1bls.gov/news.release/jolts.t05.htm
- 3bls.gov/news.release/jolts.t01.htm
- 4bls.gov/oes/current/oes172011.htm
- 5bls.gov/oes/current/oes192099.htm
- 6bls.gov/oes/current/oes151132.htm
- 30bls.gov/news.release/ecopro.t01.htm
- 31bls.gov/ooh/computer-and-information-technology/software-developers.htm
- 2businessroundtable.org/sites/default/files/2024-06/BRT%20Workforce%20Report%202024%20Final.pdf
- 7cedefop.europa.eu/files/4069_en.pdf
- 8usaspending.gov/search/?hash=space%20training%20services
- 17usaspending.gov/search/?hash=computer%20training
- 9dol.gov/agencies/eta/research
- 16dol.gov/agencies/eta/wioa/resources
- 10microsoft.com/en-us/worklab/work-trend-index
- 39microsoft.com/en-us/worklab/work-trend-index/
- 11weforum.org/publications/the-future-of-jobs-report-2023/
- 25weforum.org/publications/global-risks-report-2022/
- 12cloud.google.com/certification
- 13learn.microsoft.com/training/
- 14eur-lex.europa.eu/eli/reg/2021/694/oj
- 15comptroller.defense.gov/Budget-Materials/
- 18stats.oecd.org/index.aspx?queryid=30136
- 19ibm.com/annualreport/
- 20isc2.org/Research/ISC2-Cybersecurity-Workforce-Study
- 21nap.nationalacademies.org/catalog/26141/approaches-to-improving-workforce-development
- 32nap.nationalacademies.org/catalog/27022/software-engineering-for-systems
- 22unesdoc.unesco.org/ark:/48223/pf0000380285
- 23psycnet.apa.org/record/2021-92640-001
- 24pubmed.ncbi.nlm.nih.gov/32472783/
- 26publications.jrc.ec.europa.eu/repository/handle/JRC126734
- 27journals.sagepub.com/doi/10.1177/15344843221085542
- 28aiaa.org/publications/aerospace-america/
- 29oecd.org/employment/emp/skills-and-training/education-and-training-pisa-education-at-a-glance-2022.htm
- 33nsf.gov/od/oia/programs/
- 34linkedin.com/business/learning/resources/linkedin-learning-report/
- 35aws.amazon.com/training/partners/
- 36iata.org/en/training/
- 37ec.europa.eu/social/BlobServlet?docId=25075&langId=en
- 38www2.deloitte.com/us/en/insights/focus/human-capital-trends.html
- 40ntrs.nasa.gov/citations/20220000300
- 41commerce.gov/data-and-reports

