Following a thorough analysis of the industry, the report depicts the latest trends prevalent that can leave a profound impact on the market during the forecast period. A summarized but descriptive overview containing the market definition, the manufacturing methods, and fundamental applications forms the report. The global Algorithmic Trading market is scrutinized by the data experts, based on which the report highlights the competitive scenario as well as the latest industry trends within the main regions.
The report also provides the price margins of the product, along with the barriers encountered by the manufacturers part of the market. In addition to this, a comprehensive understanding of several dynamics that impact the Algorithmic Trading market are provided in the report. The report supplies the reader with an insight into the market situation with 2015 as the base year, and the forecast period extending until 2025.
This report studies the global Algorithmic Trading market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Algorithmic Trading market by companies, region, type and end-use industry.
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.
This report focuses on the global top players, covered
Tower Research Capital
Hudson River Trading
RSJ Algorithmic Trading
The Algorithmic Trading market is analyzed on a global level as well as on a regional basis. The geographical distribution of the market focuses on Europe, Middle East & Africa, Asia Pacific, North America, and Latin America. These key regions are studied with context to widespread trends, various opportunities along with the outlook that could influence the market in the coming years.
Market segment by Type, the product can be split into
Market segment by Application, split into
Method of Research
In a bid to provide a thoroughly detailed analysis of the market in the next few years, it is studied backed by different parameters that are part of the Porter’s Five Force Model. Moreover, the data experts utilize SWOT, as per which the report manages to provide explicit details of the Algorithmic Trading market. The methodological research of the market helps pinpoint its primary strengths, opportunities, weaknesses, and barriers.
Table of Contents
Global Algorithmic Trading Market Size, Status and Forecast 2025
1 Industry Overview of Algorithmic Trading
1.1 Algorithmic Trading Market Overview
1.1.1 Algorithmic Trading Product Scope
1.1.2 Market Status and Outlook
1.2 Global Algorithmic Trading Market Size and Analysis by Regions (2013-2018)
1.2.1 United States
1.2.5 Southeast Asia
1.3 Algorithmic Trading Market by Type
1.4 Algorithmic Trading Market by End Users/Application
1.4.1 Investment Banks
1.4.3 Personal Investors
3 Company (Top Players) Profiles
3.1 Virtu Financial
3.1.1 Company Profile
3.1.2 Main Business/Business Overview
3.1.3 Products, Services and Solutions
3.1.4 Algorithmic Trading Revenue (Million USD) (2013-2018)
3.3 DRW Trading
3.5 Tower Research Capital
3.6 Flow Traders
3.7 Hudson River Trading
3.8 Jump Trading
3.9 RSJ Algorithmic Trading
3.10 Spot Trading
3.11 Sun Trading
3.12 Tradebot Systems
3.14 Quantlab Financial
3.15 Teza Technologies
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