Algorithmic Trading Global Market Report 2022: Impact of Ukraine-Russia War



The major players in the algorithmic trading market are 63 Moons Technologies Limited, MetaQuotes Software, AlgoTrader, Virtu Financial Inc, Tethys Technology Inc, Trading Technologies International Inc, Argo SE, Software AG, Vela Trading Systems LLC, uTrade Solutions, InfoReach Inc, Tata Consultancy Services, Symphony Fintech Solutions Pvt Ltd, Refinitiv, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, Lightspeed Financial Services Group LLC, FlexTrade Systems Inc and Citadel LLC.

New York, Dec. 21, 2022 (GLOBE NEWSWIRE) — announces the release of “Algorithmic Trading Global Market Report 2022: Ukraine-Russia War Impact” –

The global algorithmic trading market is expected to grow from $14.13 billion in 2021 to $15.93 billion in 2022 at a compound annual growth rate (CAGR) of 12.7%. The war between Russia and Ukraine disrupted the chances of a global economic recovery from the COVID-19 pandemic, at least in the short term. The war between these two countries has led to economic sanctions in several countries, increases in the prices of basic products and disruptions in the supply chain, which has affected many markets around the world. The algorithmic trading market is expected to reach $24.79 billion by 2026 with a CAGR of 11.7%.

Algorithmic trading includes revenue earned by entities by providing automated trading services, financial services, trade executions, system architecture management. Market value includes the value of related goods sold by the service provider or included in the service offer.

Algorithmic trading is a technique that uses computer codes and scripted algorithms to open and close trades according to predefined rules that are programmed into a computer system. Reduce transaction costs and avoid significant price changes.

North America was the largest region in the algorithmic trading market in 2021. Asia Pacific is expected to be the fastest growing region in the forecast period.

Regions covered in Algorithmic Trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, and Africa.

Market value is defined as the revenue businesses earn from goods and/or services sold within the specified market and geography through sales, grants, or donations in currency terms (in USD ($) unless otherwise noted). specify otherwise).

Revenue from a specific geography is consumption value, that is, it is revenue generated by organizations in the specified geography within the specified market, regardless of where it is produced. It does not include revenue from resales later in the supply chain or as part of other products.

The main types of algorithmic trading are the stock market, foreign exchange (forex), exchange-traded funds (ETFs), bonds, cryptocurrencies, and others. A stock market refers to a place where buyers and sellers exchange shares of equity in a public corporation.

The components involved are solutions and services that operate in functions of programming, debugging, data extraction, backtesting and optimization, risk management. These are used by institutional investors, long-term traders, short-term traders, retail investors in stocks, currencies, commodities, funds, and other applications.

The growing need for rapid digital transformation is expected to drive the algorithmic trading market in the future. Digital transformation refers to the process of employing digital technology to create new business processes, cultures, and customer experiences or adapt current ones to suit the changing business and market. needs.

The rapid digital transformation leads to an increasing number of transactions that can drive algorithmic trading. For example, according to articles published by Forbes, a US-based business magazine, in 2019 globally, 70% of companies already have a digital transformation strategy in place or are developing one.

Additionally, the year 2019 has seen a 40% increase in technology investment related to digital transformation with companies investing over $2 trillion in digital transformation. Therefore, the growing need for rapid digital transformation is driving the algorithmic trading market.

Product innovations are a key trend that is gaining popularity in the algorithmic trading market. Major players are concentrating their efforts on creating innovative products to maintain their position in the algorithmic trading market.

For example, in July 2021, Rain Technologies, Inc., a Canadian-based technology company, launched RAIN TRADER. Rain Trader is a web-based platform that provides automated and algorithmic trading models. This platform gives people the opportunity to engage in hassle-free and fully automated algorithmic trading.

In March 2022, Trading Technologies International Inc., a US-based technology company specializing in professional trading software, infrastructure and data solutions, acquired RCM-X for an undisclosed amount. Through this acquisition, Trading Technologies increases its product portfolio in algorithmic execution strategies, trade analytics, and TCA (transaction cost analysis) services to enhance the customer experience. RCM-X is a US-based financial technology company that develops algorithmic execution strategies and quantitative trading products.

Countries covered in algorithmic trading market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, US.

The algorithmic trading market research report is one in a series of new reports providing algorithmic trading market statistics, including global market size of the algorithmic trading industry, regional shares, competitors with algorithmic trading market share , detailed algorithmic trading market segments, market trends and opportunities. and any additional data you may need to thrive in the algorithmic trading industry. This Algorithmic Trading Market Research Report offers a comprehensive perspective on everything you need, with an in-depth analysis of current and future industry scenarios.
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