The Market Reports

Synopsis
The global market for Algorithm Trading was estimated to be worth US$ 14620 million in 2024 and is forecast to a readjusted size of US$ 29280 million by 2031 with a CAGR of 10.6% during the forecast period 2025-2031.
Algorithm Trading is a trading method that uses computer programs to execute trading strategies. These programs automatically execute trades based on preset rules and conditions, often on the second or millisecond level to respond quickly to market changes. These trading strategies may be based on a variety of factors, including technical analysis, fundamental analysis, market sentiment, etc. The goal of Algorithm Trading is to improve the efficiency, accuracy and speed of trade execution by automating trade execution, thereby achieving better trading results. Algorithm Trading is usually used in stocks, futures, foreign exchange and other markets.
Global key players of Algorithm Trading include Tata Consultancy Services, Virtu Financial, MetaQuotes Software, Trading Technologies, 63 moons, etc. The top five players hold a share about 23%. North America is the largest market, and has a share about 47%, followed by Europe and Asia Pacific with share 26% and 24%, separately. In terms of product type, Stock Algorithm Trading is the largest segment, occupied for a share of 41%. In terms of application, Investment Bank is the largest field with a share about 51 percent.
This report aims to provide a comprehensive presentation of the global market for Algorithm Trading, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Algorithm Trading by region & country, by Type, and by Application.
The Algorithm Trading market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Algorithm Trading.
Market Segmentation
By Company
QuantConnect
63 moons
InfoReach
Argo SE
MetaQuotes Software
Automated Trading SoftTech
Tethys Technology
Trading Technologies
Tata Consultancy Services
Exegy
Virtu Financial
Symphony Fintech
Kuberre Systems
Itexus
QuantCore Capital Management
Segment by Type
Forex Algorithm Trading
Stock Algorithm Trading
Fund Algorithm Trading
Bond Algorithm Trading
Cryptographic Algorithm Trading
Other Algorithmic Trading
Segment by Application
Investment Bank
Fund Company
Individual Investor
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Europe
Germany
France
U.K.
Italy
Netherlands
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Algorithm Trading company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Algorithm Trading in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Algorithm Trading in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Index