Report Code : A19438
According to Aarti Goswami, Research Analyst, BFSI at Allied Market Research, “Algorithmic trading is rapidly being used by big brokerage houses as well as institutional investors to cut down on costs associated with trading. This is attributed to the fact that the algorithmic trading enables easier and faster execution of orders, making it attractive for exchanges. In addition, it enables the investors and traders to quickly book profits off small changes in price.”
Vineet Kumar - Manager
BFSI at Allied Market Research
According to a new report published by Allied Market Research, titled, “Automated Algo Trading Market," The automated algo trading market size was valued at $13.5 billion in 2021, and is estimated to reach $35 billion by 2031, growing at a CAGR of 10.1% from 2022 to 2031.
Furthermore, major market players have undertaken various strategies to increase the competition and offer enhanced services to their customers. For instance, in June 2022, Bitbns partnered with Tradetron, an algorithm automation platform, to facilitate automated algo trading system for its traders and investors. With this strategic partnership, Bitbns aims to empower its users to automate their investment strategies while facilitating seamless trading and investment in the digital asset class.
By application, the trade execution segment is the highest growing segment in 2021. This is attributed to the fact that brokers are required to execute a transaction that is best for their client. In doing so, brokers would evaluate all the orders that they would receive from their clients and assess which market, market maker, or electronic communications network provide the best prices for execution.
By region, North America attained the highest growth in 2021. This is attributed to the robust expansion of automated algo trading market in North America due to the growing demand for fast, effective, and reliable order execution, favorable government regulations, reducing transactional costs, and rising demand for market surveillance in North America.
COVID-19 pandemic has impacted positively on the growth rate of the automated algo trading industry owing to the increased shift towards automated trading algorithm for taking the decisions at a very rapid pace by reducing human errors. For instance, Reserve Bank of Australia, in its recent publication stated that the COVID-19 pandemic may have only furthered the industry's shift toward electronic trading. Also, there is upsurge in popularity of High-Frequency Traders (HFT) during the pandemic, thus, fueling the automated algo trading market growth.
The key players profiled in the automated algo trading market analysis are 63MOONS, AlgoTrader, Argo Software Engineering, Ava Trade Markets Ltd., India Algo, InfoReach, Inc., LEHNER INVESTMENTS, MetaQuotes Ltd, NinjaTrader, QuantConnect, Software AG, Symphony, Tethys Technology, VIRTU Financial Inc., Tata Consultancy Services Limited, Next Algo, and Myalgomate Technologies LLP. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
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Automated Algo Trading Market by Component (Solution, Service), by Deployment Mode (On-premises, Cloud), by Enterprise Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), by Application (Trade Execution, Statistical Arbitrage, Liquidity Detection, Others), by Trading Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies, Others): Global Opportunity Analysis and Industry Forecast, 2021-2031
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