Algorithmic trading is a method of executing a large order (too large to fill all at once) using automated pre-programmed trading instructions accounting for variables such as time, price, and volume to send small slices of the order (child orders) out to the market over time.
Algorithmic Trading are mainly used in investment banks, pension funds, mutual funds, hedge funds, etc. And investment banks were the most widely used area which took up about 48% of the global total in 2016.
USA is the largest countries of Algorithmic Trading (trading service) in the world in the past few years and it will keep increasing in the next few years. USA market took up about 52% the global market in 2016, while Europe was about 40%.
USA, Germany, UK, France, Belgium, Canada, Japan, etc. are now the key developers of Algorithmic Trading. There are some vendors with poor quality products in China, but the Chinese market is still much smaller than the USA at present.
Top 10 took up more than 50% of the global market in 2016. Virtu Financial, KCG, DRW Trading, Optiver, IMC, Flow Traders, etc. which have leading technology and market position, are well-known suppliers around the world.
In 2018, the global Algorithmic Trading market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.
This report focuses on the global Algorithmic Trading status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Algorithmic Trading development in United States, Europe and China.
The key players covered in this study
Tower Research Capital
Hudson River Trading
RSJ Algorithmic Trading
Market segment by Type, the product can be split into
Market segment by Application, split into
Market segment by Regions/Countries, this report covers
Central & South America
The study objectives of this report are:
To analyze global Algorithmic Trading status, future forecast, growth opportunity, key market and key players.
To present the Algorithmic Trading development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Algorithmic Trading are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.