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.
According to our (Global Info Research) latest study, the global Algorithmic Trading market size was valued at USD 11750 million in 2022 and is forecast to a readjusted size of USD 14990 million by 2029 with a CAGR of 3.5% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
Global Algorithmic Trading key players include Virtu Financial, Optiver, IMC, DRW Trading, Flow Traders, etc. Global top five manufacturers hold a share about 50%.
United States is the largest market, with a share about 50%, followed by Europe, and Japan, both have a share over 40 percent.
In terms of application, the largest application is Investment Banks, followed by CFunds, Personal Investors, etc.
For more information (Including Full TOC, List of Tables & Figures, Chart), please click @ https://www.globalinforesearch.com/reports/989536/algorithmic-trading
This report is a detailed and comprehensive analysis for global Algorithmic Trading market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.
Market segmentation
Algorithmic Trading market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
On-Premise
Cloud-Based
Market segment by Application
Investment Banks
Funds
Personal Investors
Others
Market segment by players, this report covers
Virtu Financial
DRW Trading
Optiver
Tower Research Capital
Flow Traders
Hudson River Trading
Jump Trading
RSJ Algorithmic Trading
Spot Trading
Sun Trading
Tradebot Systems
IMC
Quantlab Financial
Teza Technologies
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, Chapter 1, to describe High Purity Algorithmic Trading product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of High Purity Algorithmic Trading, with price, sales, revenue and global market share of High Purity Algorithmic Trading from 2018 to 2023.
Chapter 3, the High Purity Algorithmic Trading competitive situation, sales quantity, revenue and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the High Purity Algorithmic Trading breakdown data are shown at the regional level, to show the sales quantity, consumption value and growth by regions, from 2018 to 2029.
Chapter 5 and 6, to segment the sales by Type and application, with sales market share and growth rate by type, application, from 2018 to 2029.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value and market share for key countries in the world, from 2017 to 2022.and High Purity Algorithmic Trading market forecast, by regions, type and application, with sales and revenue, from 2024 to 2029.
Chapter 12, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War.
Chapter 13, the key raw materials and key suppliers, and industry chain of High Purity Algorithmic Trading.
Chapter 14 and 15, to describe High Purity Algorithmic Trading sales channel, distributors, customers, research findings and conclusion.
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