North America Algorithmic Trading Market By Component (Solution and Services), By Traders Type (Institutional Investors, Long-Term Traders, Short-Term Traders and Others), By Deployment Type (Cloud and On-premise), By Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others), By Country, Growth Potential, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027
The North America Algorithmic Trading Market would witness market growth of 10.3% CAGR during the forecast period (2021-2027).
Conventionally, traders are monitoring their investment portfolio and trading activities by using market surveillance technology. Applications, like algorithmic trading, have in-built intelligence to create opportunities in the market A according to the yield and other criteria set by the user. Factors like favorable government regulations, reliability, growing demand for fast, and effective order execution, increasing demand for market surveillance, and dropping transaction costs, are likely to boost the requirement for the algorithmic trading market. Big brokerage houses and institutional investors are highly using algorithmic trading to minimize the costs related to bulk trading.
The increasing deployment of the cloud-based algorithmic trading platforms is likely to play a considerable role in the growth of the market, due to diverse benefits, like a gain of most profits, as cloud-based trading solutions are helpful for the traders to automate their trading process, cost-effectiveness, scalability, easy trade data maintenance, and effective management. Cloud-based trading is based on the cloud computing model which uses networks of remote servers generally accessed over the internet to manage, store, and process data. The growth is attributed to the ease of the cloud, traditional traders can organize algorithmic trading in the cloud to ensure new trading strategies, run-time series analysis, and back test while executing trades.
People and the companies in this region are heavily investing in the stock market and trading, which is boosting the demand for algorithmic trading in the market. In addition, the high adoption rate of the latest technologies in the region is also accelerating the regional market. There are many companies that are increasingly participating in trading to maximize their profit margin by adopting algorithmic trading.
Moreover, the benefits of algorithmic trading are also attracting many traders to opt for the system for easy and optimized trading. The government in North America is supporting global trading, which would augment the demand for algorithmic trading in the region. All these factors are together working to push the regional algorithmic trading market forward.
The US market dominated the North America Algorithmic Trading Services Market by Country 2020, and would continue to be a dominant market till 2027; thereby, achieving a market value of $2,724.4 million by 2027. The Canada market is experiencing a CAGR of 14.9% during (2021 - 2027). Additionally, The Mexico market would witness a CAGR of 13.9% during (2021 - 2027).
Based on Component, the market is segmented into Solution and Services. Based on Traders Type, the market is segmented into Institutional Investors, Long-Term Traders, Short-Term Traders and Others. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Type, the market is segmented into Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Software AG, Tata Consultancy Services Ltd., Thomson Reuters Corporation (The Woodbridge Company), Argo SE, Inc., MetaQuotes Ltd., Symphony Fintech Solutions Private Limited, Kuberre Systems, Inc., Trading Technologies International, Inc., Vela Trading Systems LLC, and Tethys Technology, Inc.
Scope of the Study
Market Segments covered in the Report:
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