Algorithmic Trading Market Analysis Size, Growth rate and Overview:
The Algorithmic Trading
Market was valued at USD 8790.7 Million in 2017 and is expected to reach almost
USD 18160.8 Million by the end of 2025, growing at a CAGR of around 8.7% over the predicted
period.
Algorithmic trading involves the use of an automated
computer programmed to follow a set of business instructions to perform a
transaction, taking into account factors such as time, price and volume.
Algorithmic trading is a technological platform that offers both the advantage
of artificial intelligence and human intelligence. It 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.
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Algorithmic Trading Market Key Drivers, Challenges, and Opportunities:
The market of algorithmic transactions is driven by the
emergence of artificial intelligence in the financial services sector. 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. The global algorithmic trading market is expected to
experience strong growth during the forecast period due to the rapid growth of
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.
However, strict regulatory norms affect the widespread use
of algorithmic operations. To perform algorithmic transactions and HFT
transactions, all commercial companies must inform the national regulatory
authority and submit a request for approval to the regulatory authority. The
regulatory environment for algorithmic trading and HFT practices is not
favorable in some of the major countries, such as China. The widespread
application of automated commerce is fraught with obstacles, particularly for
high frequency trading in the country's financial markets. This limits the
growth of the market in the Asia-Pacific region, since China is one of the main
markets for the stock market.
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Algorithmic Trading Market –
Regional Presence:
From
a geographic perspective, North America is expected to have a significant
market share in algorithmic trading. The growth in this region is attributed to
the strong adoption and penetration of the trading platform, software and
hardware services, as well as a considerable application of algorithmic trading
in different market 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
growing adoption of such software by countries such as India, Japan, the
Philippines and Singapore. In addition, markets in the Middle East and Africa
(MEA) and South America are expected to experience significant growth during
the forecast period.
Some of the Key Players Profiled
in this Algorithmic Trading Market Report
are:
Trading Technologies International, Inc., Argo Software
Engineering, Inc., Automated Trading SoftTech Pvt. Ltd., Info Reach, Inc.,
Kuberre Systems, MetaQuotes Software Corp., Software AG, Thomson Reuters
Corporation, UTrade and Vela Trading Systems LLC (Options City Software, Inc).
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Research Cosmos
www.researchcosmos.com
+1 888 709 8757
https://marketreportsweb.com/
https://acutemarketinsights.com/
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