Key Takeaways
- The asset management industry employed 650,000 people globally in 2023.
- U.S. asset management sector jobs numbered 280,000 in 2023.
- Europe employed 170,000 in asset management in 2023.
- Global AUM expected to grow at 5.5% CAGR to $145 trillion by 2025.
- U.S. AUM projected to reach $75 trillion by 2028.
- Europe AUM growth forecast at 4% annually through 2027.
- The global asset management industry managed $119.7 trillion in assets under management (AUM) at the end of 2023, up 12.5% from $106.2 trillion in 2022.
- U.S. asset managers controlled 55% of global AUM, amounting to approximately $65.8 trillion in 2023.
- Europe's asset management industry oversaw €25.8 trillion in AUM as of end-2023, representing 21% of global total.
- U.S. dominates with 45% global revenue share in 2023.
- Europe holds 28% of global AUM, concentrated in Luxembourg and Ireland.
- Asia-Pacific accounts for 18% of world AUM, led by Japan and China.
- The asset management industry's global revenue reached $280 billion in 2023.
- Average revenue margin for asset managers was 20.5 basis points on AUM in 2023.
- U.S. asset managers generated $160 billion in fee revenue in 2023.
In 2023, asset management reached $119.7 trillion AUM with 650,000 global jobs and rising passive, ETF, and ESG momentum.
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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.
Marie Larsen. (2026, February 13). Am Industry Statistics. Gitnux. https://gitnux.org/am-industry-statistics
Marie Larsen. "Am Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/am-industry-statistics.
Marie Larsen. 2026. "Am Industry Statistics." Gitnux. https://gitnux.org/am-industry-statistics.
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