LAMEA 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
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Market Report Description
The Latin America, Middle East and Africa Algorithmic Trading Market would witness market growth of 16.1% CAGR during the forecast period (2021-2027).
Algorithmic trading refers to a way of performing trade orders with the assistance of automated pre-programmed trading instructions. There are many variables like time, price, and volume that are considered in the programs sending low slices of the order to the market. Factors such as the increasing demand for rapid, reliable, and effective order execution, the requirement of market surveillance, and the advent of supportive government regulations are estimated to propel the growth of the algorithmic trading market during the forecast period.
Moreover, the growing demand for decreasing transaction costs is contributing to the high demand for algorithmic trading. Though, deficient risk valuation abilities would restrict the growth of the market. However, the advent of AI & algorithms in financial services is anticipated to open new growth avenues for the market growth over the forecast period. Additionally, increasing demand for cloud-based solutions is also projected to propel the algorithmic trading market growth over the forecast period.
Stock market and investments play an important role in the economy of any region. Traders in this region are increasingly investing in advanced technologies that can help them in streamlining the trading process and make it easier and more reliable, for which algorithmic trading is the best. Thus, trading companies are adopting this technology for performing trading efficiently.
The growing awareness regarding the benefits of using algorithmic trading is motivating traders to increasingly use such technologies and would further propel the growth of the market during the forecast period. The heavy investment of the companies in advanced technologies is creating opportunities for the key players to prosper in the regional market.
The Brazil market dominated the LAMEA Bonds Algorithmic Trading Market by Country 2020, and would continue to be a dominant market till 2027; thereby, achieving a market value of $38.7 million by 2027. The Argentina market would witness a CAGR of 14.2% during (2021 - 2027). Additionally, The UAE market is expected to witness a CAGR of 13.2% 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 Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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:
By Traders Type
- Institutional Investors
- Long-Term Traders
- Short-Term Traders
By Deployment Type
- Stock Markets
- Saudi Arabia
- South Africa
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- 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
- Tethys Technology, Inc.
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