Algorithmic Trading Market Size, Growth, Outlook, Major Players, Trends and Forecast, 2022 to 2032

The global algorithmic trading market was valued at $13.2 billion in 2021 and it is expected to reach $100.2 billion at a CAGR of 19.5% between 2022 and 2032.
NEW YORK - Oct. 11, 2022 - PRLog -- According to a market report, published by Sheer Analytics and Insights, the global algorithmic trading market was valued at $13.2 billion in 2021 and it is expected to reach $100.2 billion at a CAGR of 19.5% between 2022 and 2032.

Algorithmic trading, also known as automated trading, black-box trading, or algo-trading, involves placing a deal using a computer program that adheres to a predetermined set of guidelines (an algorithm). Theoretically, the deal can produce profits at a pace and frequency that are beyond the capabilities of a human trader. The specified sets of instructions can be based on a mathematical model, time, pricing, quantity, or any other factor.

In addition to providing the trader with prospects for profit, algo trading increases market liquidity and makes trading more organized by minimizing the influence of human emotions. In other words, using intricate formulae, mathematical models, and human monitoring, algorithmic trading makes judgments about whether to buy or sell financial instruments on an exchange. High-frequency trading technology, which allows a company to execute tens of thousands of trades per second, is frequently used by algorithmic traders.

The requirement for the algorithmic trading industry is anticipated to be driven by elements including favorable governmental rules, rising demand for quick, dependable, and efficient order execution, rising demand for market surveillance, and declining transaction costs. Algorithmic trading is used by large brokerage firms and institutional investors to reduce the expenses of bulk trading. For instance, in recent years, especially in the last ten years, FinTech tools have been developed to increase the capacity of the financial industry, and algorithmic trading has dominated the capital markets, particularly the trading business. Several market entry barriers were lowered as a result of the digital revolution. The general public now has access to data science tools, high-speed internet, and computing power. The proliferation of online trading platforms and apps has increased the accessibility of trading financial items. It now only takes a few mouse clicks to trade stocks, futures, and currencies.

Browse the full report at

Major Players:

Argo SE (U.S), Automated Trading Softtech (India), Financial Technologies Group (India), Hudson River Trading (U.S), iRage Capital (India), InfoReach (U.S), Kuberre Systems (U.S), MetaQuotes Software (Russia), Symphony Fintech (India), Software AG (Germany), Tata Group (India), The WoodBridge Company (Canada), UTrade Solutions (India), Virtu Financial (U.S), among others.

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