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Among trading types, the Exchange-Traded Fund (ETF) segment to grow at the highest CAGR during the forecast period
Algorithmic trading is segmented on the basis of trading types. The trading types include Foreign Exchange (FOREX), stock markets, ETF, bonds, cryptocurrencies, and others (assets, commodities, collateral mortgage, Credit Default Swap (CDS) and Interest Rate Swap (IRS)). The ETF segment is the fastest growing segment in the algorithmic trading market, due to the increasing demand for automated trading across the globe. ETFs provide low average costs to traders so that they can gain maximum profits out of the ETFs.
The cloud deployment mode to grow at a rapid pace during the forecast period
Most of the vendors in the algorithmic trading market offer cloud-based trading solutions to gain maximum profits and effectively automate the trading process. The adoption of cloud-based algorithmic trading solutions is expected to grow, mainly due to their benefits such as easy trade data maintenance, cost-effectiveness, scalability, and effective management.
Some of the major algorithmic trading vendors are Thomson Reuters (US), 63 moons (India), Virtu Financial (US), Software AG (Germany), MetaQuotes Software (Cyprus), Symphony Fintech (India), InfoReach (US), Argo SE (US), Kuberre Systems (US), Tata Consultancy Services (India), QuantCore Capital Management (China), iRageCapital (India), Automated Trading SoftTech (India), Tethys (US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland). These algorithmic trading vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global algorithmic trading market.
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North America to hold the largest market size during the forecast period
North America is expected to hold the largest market size in the global algorithmic trading market, while Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period. In APAC, the highest growth rate can be attributed to the heavy investments made by private and public sectors for enhancing their trading technologies, resulting in an increased demand for algorithmic trading solutions used for automating the trading process. North America is expected to be the leading region in terms of adopting and developing algorithmic trading. The rising investments in trading technologies such as blockchain, increasing presence of algorithmic trading vendors, and growing government support for global trading are the major factors expected to contribute to the market growth during the forecast period.
Table of Contents
1 Introduction (Page No. – 17)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 21)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study
3 Executive Summary (Page No. – 29)
4 Premium Insights (Page No. – 34)
4.1 Attractive Market Opportunities in the Algorithmic Trading Market
4.2 Market: Top 3 Trading Types
4.3 Market: Top 3 Trading Types and Regions
4.4 Market, By Trading Type
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