Algorithm trading is a form of electronic trading that can be executed through software programs for the generation of a large number of data set orders. According to the observation presented by Market Research Future (MRFR), the global algorithm trading market is expected to mark a CAGR of 12.5% during the review period 2019 to 2024. It is anticipated to earn revenues worth USD 20.9 Bn by 2024.
The digitization drive in the financial sector has gained much momentum in recent times. It is poised to drive the expansion of the algorithm trading market in the years to come. The governments are promoting investments in stock market through tax exemptions, incentives, and subsidies. This, in turn, is assessed to have a positive influence on the proliferation of the algorithm trading market in the foreseeable future.
Algorithm trading facilitates smart trading decisions on the part of the investors. It is likely to attract investments in the coming years, thus, encouraging the proliferation of the market. Also, these trading helps in lowering transaction costs while offering better control over the process. It is supposed to catapult the algorithm trading market on an upward trajectory. On the other side, lack of technical expertise might impede the growth rate of the market over the forecast period.
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Thomson Reuters (US), InfoReach (US), 63 moons (India), Argo SE (US), Automated Trading SoftTech (India), MetaQuotes Software (Cyprus), Tethys (US), uTrade (India), QuantCore Capital Management (China), Trading Technologies (US), Tata Consulting Services (India), Virtu Financial (US), Vela (US), Symphony Fintech (India), iRageCapital (India), Software AG (Germany), Kuberre Systems (US), and ALGOTRADES – Automated Algorithmic Trading System (US) are few of the important players of the global algorithm trading market.
These players are investing in the expansion of global footprints to elevate their financial statuses. It is supposed to act as a catalyst for the competitiveness in the market place. Also, the rising investments in cutting-edge analytical tools are also poised to encourage robust competition among these market players over the next couple of years. Some of the growth methods expected to be utilized by these players in the coming years are – mergers & acquisitions, strategic alliances, agreements, partnerships, etc.
The segmental analysis of the Algorithm Trading Market, on the basis of component, covers solution and service. Software tools and platform are the two sub-segments of the solution segment. The sub-segments of the services segment are professional services and managed services.
Based on trading type, the algorithm trading market has been segmented into foreign exchange, exchange-traded funds, bonds, stock markets, and cryptocurrencies.
The segments of the algorithm trading market, based on deployment mode, are cloud and on-premise.
By organization size, the algorithm trading market has been segmented into large enterprise and small & medium enterprises.
The regional assessment of the global algorithm trading market covers the following regional segments – Asia Pacific (APAC), South America, the Middle East and Africa (MEA), Europe, and North America. These regions are studied on the basis of country-level markets. North America held the most substantial share of the global market in 2018. It is projected to maintain its control over the market over the next couple of years. Asia Pacific algorithm trading platform market, on the other side, is poised to exhibit the highest CAGR over the review period.
In December 2019, veterans of Morgan Stanley have announced the launch of a crypto derivatives trading platform, Phemex, in Singapore.
In November 2019, Tinkoff, Russian digital bank, has announced the introduction of an open API in a bid to assist algorithmic traders for robots and setting up of automatic trading.
In November 2019, Tradeweb, electronic trading provider, Tradeweb, has announced the launch of portfolio trading service for the European trading market.
LIST OF TABLES
Table 1 Global Algorithm Trading Market, By Region, 2019–2024
Table 2 North America: Algorithm Trading Market, By Country, 2019–2024
Table 3 Europe: Algorithm Trading Market, By Country, 2019–2024
Table 4 Asia-Pacific: Algorithm Trading Market, By Country, 2019–2024
Table 5 Middle East & Africa: Algorithm Trading Market, By Country, 2019–2024
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LIST OF FIGURES
FIGURE 1 Global Algorithm Trading Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis Of The Global Algorithm Trading Market
FIGURE 4 Value Chain Of The Global Algorithm Trading Market
FIGURE 5 Share Of The Global Algorithm Trading Market, By Country, 2018 (In %)
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