Algorithmic Trading Market

The report offers detailed segmentation of the global algorithmic trading market based on component, type, deployment mode, type of traders, and region.

PORTLAND, OR , UNITED STATES, UNITED STATES, September 13, 2022 /EINPresswire.com/ -- The global algorithmic trading market size garnered $12.14 billion in 2020, and is expected to garner $31.49 billion by 2028, manifesting a CAGR of 12.7% from 2021 to 2028. The report provides a detailed analysis of changing market dynamics, key segments, value chain, regional scenario, top investment pockets, and competitive landscape.

Major market players such as - 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.

Emergence of AI and various algorithms in financial services and rise in demand for cloud-based solutions present new opportunities in the new few years. Increase in demand for rapid, reliable, and effective order execution, supportive government regulations, and demand to reduce the costs of transaction fuel the growth of the global algorithmic trading market.

By component, the solution segment contributed to the highest share in 2020, accounting for nearly two-thirds of the total market share, and is expected to maintain its lead during the forecast period. However, the services segment is projected to witness the highest CAGR of 13.8% from 2021 to 2028.

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By type, the stock markets segment accounted for the largest market share, contributing to more than one-fourth of the global algorithmic trading market in 2020, and is projected to maintain its leadership status during the forecast period. However, the cryptocurrencies segment is expected to portray the largest CAGR of 16.9% from 2021 to 2028.

By region, North America held the highest share in 2020, contributing to more than two-fifths of the total market, and is expected to continue its dominance by 2028. However, Asia-Pacific is projected to witness the fastest CAGR of 15.3% during the forecast period.

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Covid-19 Scenario:

• Traders have been inclined to opt for algorithmic trading for reducing human errors and taking fast decisions during the times of uncertainty that arose due to the Covid-19 pandemic.
• Moreover, increase in popularity of high-frequency traders (HFT) has been experienced during the pandemic, which led to the growth of the algorithmic trading market.
• Novel algorithmic trading products have been launched to carry out better decision-making than before and cater to the rise in volumes of trading.

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Segmental analysis of the market is provided in both qualitative and quantitative aspects. This aids the clients in identifying the most lucrative segment to go on with investments, on the basis of a complete backend analysis concerning the segmental presentation, coupled with brief salutation of the operating organizations and their important developmental activities.

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