AI and Machine Learning to Drive Market Data Consumption Among Asset Managers

Asset managers are increasingly turning to artificial intelligence and machine learning to enhance market data delivery and consumption, with 80% identifying these technologies as pivotal over the next two years. Research by SIX and Crisil Coalition Greenwich highlights this trend, based on responses from front and middle-office professionals across the US, UK, and Europe.

Real-time data usage is expanding rapidly, with 65% of respondents leveraging it throughout the trading day. This surge aligns with the rise of 24/7 trading in certain asset classes and broader applications in risk management, compliance, and portfolio analytics.

Market data budgets are projected to grow, with nearly 70% of participants anticipating a 1% to 5% increase. Key areas of focus include index data, risk and regulatory data, and crypto data. Demand for historical tick data is also rising, driven by needs in market surveillance and trade analysis.