Algorithmic Trading Market is projected to grow USD 33.6 Bn in 2030

Algorithmic Trading Market is projected to grow USD 33.6 Bn in 2030

Algorithmic Trading Market, with the help of a comprehensive outlook, provides readers with an assessment of the global market landscape.

The algorithmic trading market was valued at USD 13.2 Bn in 2021. The market is projected to grow USD 33.6 Bn in 2030, at a CAGR of 13.6%. Algorithmic trading, often known as "algo-trading," is the process of managing a trading activity using computer programs with a pre-defined set of instructions. The instructions are based on a mathematical model's pricing, timing, quantity, and many other aspects. It promises to make money, lower transaction costs, and provide investors computer-based control over the trading process. Aside from this, by removing all human effects, algorithmic trading makes the market more flexible and systematic. High-frequency trading (HFT), which includes putting sizable trade orders across several marketplaces, also makes quick decisions possible.

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The research report has incorporated the analysis of different factors that augment the market’s growth. It constitutes trends, restraints, and drivers that transform the market in either a positive or negative manner. This section also provides the scope of different segments and applications that can potentially influence the market in the future.

The Algorithmic Trading Market report has been curated after observing and studying various factors that determine regional growth such as the economic, environmental, social, technological, and political status of the particular region. The report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Algorithmic Trading Market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research.

The report provides a comprehensive analysis of company profiles listed below:

63 moons technologies limited


Argo Software Engineering

Citadel LLC

FlexTrade Systems, Inc.

Hudson River Trading

InfoReach, Inc.

Lime Trading Corp.

MetaQuotes Ltd

Refinitiv Limited

Software AG


Tata Consultancy Services Limited

Tethys Technology, Inc.

Tower Research Capital LLC

Trading Technologies International, Inc.

Virtu Financial

Type Analysis of World Wide Algorithmic Trading Market:





Segmentation of global Algorithmic Trading Market by Application:

Stock Markets


Exchange-Traded Fund (ETF)




Global Algorithmic Trading Market segment by Region/Country including:

• North America (United States, Canada and Mexico)

• Europe (Germany, UK, France, Italy, Russia and Spain etc.)

• Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)

• South America (Brazil, Argentina and Colombia etc.)

• Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)

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Various factors are responsible for the market’s growth trajectory, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Algorithmic Trading market. This report is a consolidation of primary and secondary research, which provides market size, share, dynamics, and forecast considering the macro and micro environmental factors. It also gauges the bargaining power of suppliers and carters, threat from new entrants and product substitutes, and the degree of competition prevailing in the market.

The report helps in providing a wider introduction to the market and also helps in dealing with the detailed methodology of research for the calculation of the size and forecasts of the market. The sources of secondary data are used and the primary inputs are taken for the validation of data. This section also helps in the outlines the several segments that have also been covered as being a part of the report. Additionally, the Research Methodology reviews tend of providing the calculation for determining the inclinations of the global market.