Global Algorithmic Trading Market Overview:
Algorithmic trading involves the use of an automated computer programmed to follow a set of business instructions to perform a transaction, considering factors such as time, price and volume. Algorithmic trading is a technological platform that offers both the advantage of artificial intelligence and human intelligence. Algorithmic trading helps reduce transaction costs, allowing investment managers to control their own business procedures. The main objective of this software is not only to maximize the benefits, but also to control the market risk and the execution costs. The market for algorithmic transactions is expected to reach USD 18,160.8 Million by 2026, with a CAGR of 8.7 %.
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Global Algorithmic Trading Market Drivers and Restraints:
The market has experienced a substantial growth due to the large number of financial companies that opt for an increasing automation of the negotiation processes. Integrated financial markets or an open market economy such as the European Union help local sellers buy foreign assets with reduced risk. The contribution of several international markets has helped developing countries to create opportunities for portfolio diversification, global savings allocation and risk sharing. The market for algorithmic transactions is driven by the emergence of artificial intelligence and algorithms in the financial services sector, which is driving the global algorithmic commerce industry. In addition, the increasing adoption by institutional asset managers of non-equity trading algorithms is increasing the use of artificial intelligence in the financial services sector. It is expected that the global algorithmic trading market will experience strong growth during the forecast period due to the growing demand for market surveillance. By using market surveillance technology, operators can track their business activities and investment patterns. The growing need to build an economy with global and regional interdependencies is forcing key suppliers to formulate effective marketing strategies and develop new market surveillance solutions. In addition, many companies are inclined to use algorithmic trading to reduce market risk and transaction costs.
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Global Algorithmic Trading Market-Geographical Segmentation:
From a geographic perspective, North America is expected to have a significant market share in algorithmic trade market. The growth in this region is attributed to the strong adoption and penetration of the algorithmic trading platform, software and hardware services, as well as end-user segments throughout the region. The developed and emerging markets have adopted this technology in the stock market. The Asia-Pacific region is expected to experience profitable growth due to the increasing adoption of such software by countries such as India, Japan, the Philippines and Singapore. In addition, the markets of the Middle East and Africa (MEA) and Latin America are expected to witness significant growth during the forecast period.
Some of the key players in Global Algorithmic Trading Market
Argo Software Engineering, Inc., Trading Technologies International, Inc., InfoReach, Inc., Automated Trading SoftTech Pvt. Ltd., MetaQuotes Software Corp., Kuberre Systems, Thomson Reuters Corporation, Software AG, Vela Trading Systems LLC (OptionsCity Software, Inc.)., and uTrade are some of the major players of the market.
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