The hedge fund industry is expected to rebound in 2025, supported by lower interest rates, improved investor sentiment, and the use of artificial intelligence (AI) in investment processes. According to a recent report by IG Prime, these factors are driving renewed interest in the sector, which is showing signs of recovery after several years of challenges. New fund launches are on the rise, and assets under management have reached record highs.

Global Overview and Outlook

In 2024, the hedge fund industry faced rising costs, regulatory pressures, and uneven returns. The Federal Reserve’s 50 basis point rate cut that year marked a shift. Lower interest rates make it easier for hedge funds to outperform safer investments. Increased market volatility, driven by geopolitical tensions and economic uncertainty, also created more chances for profits.

The election of Donald Trump as U.S. president in November 2024 added to positive sentiment. His administration is expected to adopt policies favorable to hedge funds. The appointment of Scott Bessent, a hedge fund veteran, as Treasury Secretary is seen as a signal of regulatory easing. This could influence other regions competing to attract investment.

AI Integration

AI is increasingly used by hedge funds, with 86% of managers employing generative AI tools. AI supports data processing, predictive analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term, algorithmic trading, and fraud detection. A survey found 64% of managers see AI as most impactful on forecasting, while 52% highlight data analysis benefits.

However, AI’s ability to consistently generate excess returns is uncertain. The Eurekahedge AI Hedge Fund Index has underperformed the S&P 500 recently. Questions remain about whether AI’s costs justify its returns. Regulators are also concerned that AI could increase risks of market manipulation and herd behavior. Despite this, AI is valued for improving operations, risk management Risk Management One of the most common terms utilized by brokers, risk management refers to the practice of identifying potential risks in advance. Most commonly, this also involves the analysis of risk and the undertaking of precautionary steps to both mitigate and prevent for such risk.Such efforts are essential for brokers and venues in the finance industry, given the potential for fallout in the face of unforeseen events or crises. Given a more tightly regulated environment across nearly every asset class, One of the most common terms utilized by brokers, risk management refers to the practice of identifying potential risks in advance. Most commonly, this also involves the analysis of risk and the undertaking of precautionary steps to both mitigate and prevent for such risk.Such efforts are essential for brokers and venues in the finance industry, given the potential for fallout in the face of unforeseen events or crises. Given a more tightly regulated environment across nearly every asset class, Read this Term, and client services.

Performance and Strategies

Hedge fund results in 2024 were mixed. Macro funds struggled, but multi-strategy and systematic funds performed well. Long equity strategies benefited from gains in global stocks, especially in U.S. technology shares. Event-driven strategies also gained due to increased merger and acquisition activity.

Looking ahead, multi-strategy funds remain favored, followed by emerging market and equity long/short funds. Credit strategies, especially private credit, continue to attract interest for their resilience in volatile markets.

Fee Trends and Investor Expectations

Investor demand is shifting toward lower fees and closer alignment with fund performance. The traditional “2-and-20” fee model is declining, with current averages around 1.35% management fees and 16% performance fees. More funds are introducing “cash hurdles,” charging performance fees only if returns exceed the risk-free rate. This reflects investor dissatisfaction with high fees amid average returns.

Private Markets and Digital Assets

Private markets remain attractive, with private equity and credit driving growth. The private credit market exceeded $3 trillion in assets under management in 2024. Stricter banking rules and the search for higher yields contribute to this trend. Digital assets are also growing, with 47% of hedge funds having cryptocurrency exposure. The approval of Bitcoin and Ethereum ETFs and clearer regulations helped increase confidence.

Outlook for 2025

The industry is positioned for growth in 2025, aided by lower interest rates, technological progress, and a more supportive regulatory environment. Multi-strategy and credit funds are expected to perform strongly. AI and private markets will continue as growth areas. Smaller funds may face challenges competing with larger firms, potentially leading to consolidation.