The algorithmic trading market is projected to reach a valuation of USD 21.06 billion by 2024, with an expected compound annual growth rate (CAGR) of 12.9% from 2025 to 2030. This growth can largely be attributed to the increasing use of Machine Learning (ML) and Artificial Intelligence (AI) technologies in trading solutions. These innovations allow traders to create more complex algorithms that can analyze large volumes of data in real time, uncovering patterns and making predictive decisions more rapidly than traditional methods. The integration of AI and ML into trading strategies promotes adaptive learning, enabling algorithms to refine their effectiveness over time based on past performance and shifting market conditions.
Algorithmic Trading Market Size & Trends