Algorithmic Trading Market: Growing Integration of Financial Markets to Drive Demand

The “Global Algorithmic Trading Market” currently features a highly fragmented competitive landscape, according to a research report published by MarketResearchReports.Biz.


Albany, NY -- (SBWIRE) -- 10/04/2017 -- has recently added a new market study to its repository, titled "Global Algorithmic Trading Market 2016-2020." According to the report, the growing integration of financial markets is a key factor boosting the growth of the global algorithmic trading market. This is because integrating financial markets help in surging liquidity in the equity market and is one of the key factors boosting the growth of the market in the years to come. Integrated financial markets help domestic investors in buying foreign assets with reduced risks that has no effect on the functioning of the capital market. The different international markets involved are leading to the efficient global allocation of savings and helps countries to create a diverse portfolio and risk sharing. Portfolio risk sharing is expected to be a key trend in the years to come.

Brokerage firms have started following algorithmic trading strategies so as to integrate themselves with regional and local market conditions. Multinational investment banks are also behind an increased growth of algorithmic trading market as they are spending considerable amount in developing algorithmic trading platforms and making investments across Asia, as this region is expected to have much growth opportunities in the future. On the other hand, insufficient risk valuation capabilities are expected to be a key challenge for the growth of the market. In addition to this, the limited legal certainty is also dissuading firms to adopt these strategies. Operational inefficiencies associated with algorithmic trading are expected to further pose a challenge. All these factors will restrain the growth of the global algorithmic trading market during the forecast period from 2016-2020.

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The report segments the global algorithmic trading market on the basis of key criteria. The leading and declining, as well as the fastest to expand segments are pointed out, thus helping investors to make smart decisions. On the basis of geography, the market is segmented into Asia Pacific, Europe, North America, and the Rest of the World. It is anticipated that the Americas will lead in the market in the years to come on account of the continuous trade monitoring. The increased surveillance has also led to a rapid increase in FX trading activity.

The report also gives much detail about the competitive landscape of the algorithmic trading market. The market is characterized as competitive. The market is fragmented due to the presence of many players. The recent technological advancements, which has resulted in the transparency level increasing in the market will also increase the number of FX market participants. Players are competing with each other on the basis of service offerings and product offerings. The market is also anticipated to experience a number of mergers and acquisitions by large algorithmic trading companies in the future.

The companies profiled in the report for the purpose of study are: Citadel, Sun Trading, KCG, Optiver US, Spot Trading, Tower Research Capital, DRW Trading, Two Sigma Investments, Flow Traders, Jump Trading, Virtu Financial, Hudson River Trading, RSJ Algorithmic Trading, and Tradebot Systems. The business and financial overview of these companies are given in the report. The information on their recent developments and also about the strategies adopted by these players for expanding their product portfolio and for geographical hold are also given. As such, this information is very useful for readers and potential investors for understanding the strategies employed to stay strong in this competitive environment. The challenges faced by these players are also enlisted. This helps in warning new players about the possible risks and dangers which they have to encounter on their way as they invest in the algorithmic trading market.

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