Key Takeaways
- Private credit fundraising totaled $182 billion in 2023, surpassing private equity for the first time
- Number of private credit funds closed in 2023 reached 650, up 12% from 2022, with average fund size of $280 million
- Institutional investors committed $120 billion to private credit in 2023, representing 66% of total capital raised
- Private credit projected to reach $2.7 trillion AUM by 2028, growing at 17% CAGR
- Direct lending share expected to rise to 65% of private credit by 2027
- Fundraising forecasted to hit $250 billion annually by 2026, driven by insurance demand
- Pension funds represent 35% of private credit LP commitments, with average allocation of 8% of portfolio in 2023
- Insurance firms increased private credit allocations to 10% of assets by 2023, committing $300 billion total AUM
- Sovereign wealth funds allocated 5% to private credit in 2023, with $50 billion invested
- Global private credit assets under management (AUM) grew to $1.7 trillion by the end of 2023, marking a 15% year-over-year increase
- Direct lending, the largest segment of private credit, accounted for 58% of total AUM at $989 billion in 2023
- The US private credit market expanded to $1.2 trillion AUM in 2023, representing 70% of global totals
- Private credit funds delivered net IRR of 12.5% for vintages 2018-2023, outperforming public high-yield bonds by 400bps
- Direct lending funds averaged 11.8% net returns through Q1 2024, with top quartile at 15.2%
- Private credit default rates remained low at 1.2% in 2023, compared to 4.5% for syndicated loans
Private credit surged in 2023 with record fundraising, rising AUM, and strong performance as dry powder fueled deployments.
Related reading
Fundraising
Fundraising Interpretation
More related reading
Future Trends and Projections
Future Trends and Projections Interpretation
More related reading
Investor Profiles
Investor Profiles Interpretation
More related reading
Market Size and Growth
Market Size and Growth Interpretation
More related reading
Performance Metrics
Performance Metrics 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.
Kevin O'Brien. (2026, February 13). Private Credit Industry Statistics. Gitnux. https://gitnux.org/private-credit-industry-statistics
Kevin O'Brien. "Private Credit Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/private-credit-industry-statistics.
Kevin O'Brien. 2026. "Private Credit Industry Statistics." Gitnux. https://gitnux.org/private-credit-industry-statistics.
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