The global algorithmic trading market was valued at US$ 10,346.6 million in 2018 and is projected to reach US$ 25,257.0 million by 2027, exhibiting a CAGR of 10.7% over the forecast period, according to Global Algorithmic Trading Market Report, by Function (Programming, Debugging, Data Extraction, Back-Testing & Optimization, and Risk Management), by Application (Equities, Forex, Commodities, Funds, Others (Insurance, etc.)), and by Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa).
Algorithmic trading, or algo trading, is useful for computer programs and software to execute trade based on pre-defined criteria and without any human intervention. In algorithmic trading, mathematical models are used to analyze every quote and trade in the stock market, turn the information into intelligent trading decisions, and identify liquidity opportunities. It is a computer directed trading, which cuts down transaction costs and allows investment managers to take control of their own trading processes. The major factor driving adoption of algo trading is rising number of financial organizations opting for automation in trading processes. Moreover, companies in economies such as India, South Korea, and others are focused on expanding their presence in the global market with diverse portfolio, which is expected to create high demand for algo trading processes. Additionally, increasing adoption of cloud-based solutions and services has further boosted growth of the algorithmic trading market.
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