Cloud-Enabled Algorithmic Trading Market to Gain Popularity on Account of Their Scalability and Cost-Effectiveness
Albany, NY -- (SBWire) -- 11/14/2018 --ResearchMoz.us has announced the addition of a report, titled "Algorithmic Trading Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018–2026". The report on the global algorithmic trading market offers a detailed assessment of key avenues shaping the current demand dynamics, prominent adoption trends, major technological advancements, shifts witnesses in key service segments, and the prevailing competitive dynamics.
The global algorithmic trading market is projected to rise at a double digit CAGR from 2018 to 2026. The rising demand for AI and algorithms in understanding the complexity of various facets of the financial services sector is a key factor driving the market. The drive for algorithmic trading stems from the need for automating complex trading strategies in the Forex, derivatives, equity, currency equities, and bond market. The global market is also benefitting from the rising adoption of non-equity trading algorithms by institutional asset managers.
The rising demand for algorithmic trading platforms in market surveillance is a crucial factor aiding the market to make rapid advances in various parts of the world. The large strides that the global economy has taken with respect to financial markets is propelling the demand for new surveillance technologies, thus catalyzing the expansion of the algorithmic trading market.
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The deployment of automation technologies in trading activities and the large spending by banks and financial institutions on upgrading IT infrastructure are trends fueling the expansion of the algorithmic trading market. The advent of managed services and platforms which helps them do so is crucial to the market. The adoption of algorithmic trading technologies to manage market risks and reduce transaction cost is a favorable trend among end users.
However, widespread commercial use of algorithmic trading is notably hindered by several regulatory curbs in few key economies, such as in China. This is attributed partly to the difficulty in getting regulatory approvals by trading companies in these countries. Unfavorable outlook for high frequency trading (HFT) has been posing a bottleneck for the wide-scale use of algorithmic trading in Asia Pacific.
Nevertheless, the advent of cloud-based solutions have opened a lucrative avenues the algorithmic trading market. The growing adoption is underpinned by several benefits in capital markets such as scalability and flexibility. Moreover, the cost-effectiveness of cloud-enabled algorithmic trading also augurs well for the adoption. The rising popularity of cloud-based solutions will be further bolstered by the growing number of customized applications.
On the regional front, developed and emerging economies are increasingly adopting algorithmic trading for securities market. North America is a potentially lucrative region while Asia Pacific and South America are emerging as attractive regional markets.
Prominent players are developing an elaborate portfolio of software and services to meet various trading activities in the financial markets all over the world. Some of the key players in the algorithmic trading market are Argo Software Engineering, Inc., Thomson Reuters Corporation, Software AG, Kuberre Systems, and Trading Technologies International, Inc.
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