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Algorithmic Trading Market Size Growth Reflects Shift Towards Data-Driven Strategies | Projected to Exceed USD 31.49 Billion by 2028

08-25-2023 12:08 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Algorithmic Trading Market

Algorithmic Trading Market

The size of the global algorithmic trading market was $12,143 million in 2020 and is anticipated to grow to $31,494 million by 2028, with a predicted CAGR of 12.7% between 2021 and 2028.

The necessity for market surveillance, the rise in demand for dependable, quick, and efficient order execution, and the establishment of supportive governmental rules are the key drivers of the expansion of the worldwide algorithmic trading business. The need for algorithmic trading is also fueled by the surge in desire for lower transaction costs.

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The Algorithmic Trading market is experiencing a paradigm shift as automation and data-driven strategies take center stage in the world of finance. One significant trend is the rapid growth of algorithmic trading strategies across various asset classes. These strategies leverage complex mathematical models and high-speed computers to execute trades with speed and precision that are beyond human capabilities. As market participants seek to capitalize on microsecond-level opportunities, algorithmic trading's popularity continues to soar.

Machine learning and artificial intelligence (AI) are driving another transformative trend in the Algorithmic Trading market. Algorithms powered by AI can adapt and learn from market data, enabling them to continuously refine their strategies. Deep learning techniques are being used to uncover hidden patterns and correlations in financial data, leading to more informed trading decisions. As machine learning capabilities advance, algorithmic trading is becoming more sophisticated, dynamic, and capable of navigating complex market conditions.

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Regulatory technology (RegTech) solutions are emerging as a key trend within the Algorithmic Trading market. As financial markets become increasingly regulated, algorithmic trading firms are leveraging technology to ensure compliance with stringent rules and regulations. RegTech tools help monitor trading activities, manage risk, and provide real-time reporting, offering market participants the ability to navigate a complex regulatory environment while maintaining competitive trading strategies.

Furthermore, algorithmic trading's democratization is transforming market dynamics. Once the domain of large financial institutions, algorithmic trading tools and platforms are becoming more accessible to a wider range of traders, including individual investors and smaller firms. This democratization is leveling the playing field and contributing to increased liquidity and efficiency in financial markets. It also places a greater emphasis on education and training to ensure traders have a deep understanding of algorithmic strategies and their implications.

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Some of the key algorithmic trading industry players profiled in the report include 63MOONS, Virtu Financial, Software AG, Refinitiv Ltd. MetaQuotes Software Corp. Symphony Fintech Solutions Pvt Ltd. Argo SE, Tata Consultancy Services, Algo Trader AG, and Tethys. This study includes algorithmic trading market trends, algorithmic trading market analysis, and future estimations to determine the imminent investment pockets.

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