Key Takeaways
- Global wealth management assets under management (AUM) hit USD 112 trillion in 2022
- Private banks managed 45% of global AUM totaling USD 50.4 trillion in 2022
- Retail banks held 30% of AUM at USD 33.6 trillion in 2022
- In 2022, the global population of high-net-worth individuals (HNWIs) defined as those with investable assets of at least USD 1 million excluding primary residence reached 22.8 million, marking a 7.6% year-over-year increase
- Global HNWI wealth totaled USD 86.8 trillion in 2022, up 7.9% from the previous year despite market volatility
- North America held 38% of global HNWI population with 7.9 million individuals in 2022
- Global wealth industry revenue reached USD 1.8 trillion in 2022, up 9%
- Wealth managers’ operating margins averaged 28% in 2022 for top firms
- 68% of HNWIs switched or considered switching advisors in past 2 years
- Global UHNWIs (USD 30 million+ assets) numbered 264,200 in 2022, up 7.4%
- Total UHNW wealth reached USD 39.7 trillion in 2022 globally
- The US dominated UHNW population with 110,300 individuals in 2022
- Expected USD 84 trillion intergenerational wealth transfer from 2023-2048 globally
- Baby Boomers to transfer USD 53 trillion to Millennials and Gen Z in US by 2045
- Europe anticipates USD 19 trillion wealth transfer over next 20 years
Global wealth management AUM soared to USD 112 trillion in 2022, with UHNW driving much of the growth.
Related reading
AUM Metrics
AUM Metrics Interpretation
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HNWI Statistics
HNWI Statistics Interpretation
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Industry Trends
Industry Trends Interpretation
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UHNW Statistics
UHNW Statistics Interpretation
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Wealth Transfer
Wealth Transfer 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.
Marie Larsen. (2026, February 13). Wealth Industry Statistics. Gitnux. https://gitnux.org/wealth-industry-statistics
Marie Larsen. "Wealth Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/wealth-industry-statistics.
Marie Larsen. 2026. "Wealth Industry Statistics." Gitnux. https://gitnux.org/wealth-industry-statistics.
Sources & References
- Reference 1CAPGEMINIcapgemini.com
capgemini.com
- Reference 2UBSubs.com
ubs.com
- Reference 3KNIGHTFRANKknightfrank.com
knightfrank.com
- Reference 4PWCpwc.com
pwc.com
- Reference 5BCGbcg.com
bcg.com
- Reference 6CERULLIcerulli.com
cerulli.com
- Reference 7RBCWEALTHMANAGEMENTrbcwealthmanagement.com
rbcwealthmanagement.com
- Reference 8WILLIAMSGROUPWEALTHwilliamsgroupwealth.com
williamsgroupwealth.com
- Reference 9MCKINSEYmckinsey.com
mckinsey.com
- Reference 10EYey.com
ey.com
- Reference 11STATISTAstatista.com
statista.com
- Reference 12FAMILYOFFICEfamilyoffice.com
familyoffice.com







