Key Takeaways
- 91% of adults in the U.S. say they have used the internet.
- 85% of adults in the U.S. say they have a smartphone.
- 71% of workers in the U.S. have at least some college education or a postsecondary credential.
- 65% of employers say they have adopted a formal skills framework in the past 2 years.
- 1 in 3 workers in the U.S. say they need to learn new skills to keep up with work.
- 44% of organizations believe reskilling and upskilling are critical to business success.
- 74% of L&D professionals say they face challenges measuring training ROI.
- 1.6x higher productivity is reported for employees who receive targeted training.
- 3.5% average increase in earnings is associated with additional years of education, per OECD.
- $81.1 billion global corporate e-learning market size in 2023.
- $366.9 billion global training and development services market size in 2023.
- $87.3 billion global learning management system (LMS) market size in 2023.
- $12.6 million average cost of a data breach in 2024 (global average).
- 71% of breaches involve human element errors, per IBM Security Cost of a Data Breach report.
- $2.45 million average cost of a phishing-related breach (global average).
With rapid technology change, asset managers must reskill now as training and AI adoption accelerate.
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User Adoption
User Adoption Interpretation
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Industry Trends
Industry Trends Interpretation
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Performance Metrics
Performance Metrics Interpretation
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Market Size
Market Size Interpretation
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Cost Analysis
Cost Analysis 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.
Marcus Afolabi. (2026, February 13). Upskilling And Reskilling In The Asset Management Industry Statistics. Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-asset-management-industry-statistics
Marcus Afolabi. "Upskilling And Reskilling In The Asset Management Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/upskilling-and-reskilling-in-the-asset-management-industry-statistics.
Marcus Afolabi. 2026. "Upskilling And Reskilling In The Asset Management Industry Statistics." Gitnux. https://gitnux.org/upskilling-and-reskilling-in-the-asset-management-industry-statistics.
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