Report Detail
Global Algorithmic Trading Market Growth (Status and Outlook) 2019-2024
- RnM3002125 |
- 22 February, 2019 |
- Global |
- 136 Pages |
- LPI(LP Information) |
- Service & Software
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.
According to this study, over the next five years the Algorithmic Trading market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Algorithmic Trading business, shared in Chapter 3.
This report presents a comprehensive overview, market shares and growth opportunities of Algorithmic Trading market by product type, application, key companies and key regions.
This study considers the Algorithmic Trading value generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
On-Premise
Cloud-Based
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Investment Banks
Funds
Personal Investors
Others
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
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
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Algorithmic Trading market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Algorithmic Trading market by identifying its various subsegments.
Focuses on the key global Algorithmic Trading players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Algorithmic Trading with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Algorithmic Trading submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Contents
2019-2024 Global Algorithmic Trading Market Report (Status and Outlook)
1 Scope of the Report
- 1.1 Market Introduction
- 1.2 Research Objectives
- 1.3 Years Considered
- 1.4 Market Research Methodology
- 1.5 Economic Indicators
- 1.6 Currency Considered
2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Algorithmic Trading Market Size 2014-2024
- 2.1.2 Algorithmic Trading Market Size CAGR by Region
- 2.2 Algorithmic Trading Segment by Type
- 2.2.1 On-Premise
- 2.2.2 Cloud-Based
- 2.3 Algorithmic Trading Market Size by Type
- 2.3.1 Global Algorithmic Trading Market Size Market Share by Type (2014-2019)
- 2.3.2 Global Algorithmic Trading Market Size Growth Rate by Type (2014-2019)
- 2.4 Algorithmic Trading Segment by Application
- 2.4.1 Investment Banks
- 2.4.2 Funds
- 2.4.3 Personal Investors
- 2.4.4 Others
- 2.5 Algorithmic Trading Market Size by Application
- 2.5.1 Global Algorithmic Trading Market Size Market Share by Application (2014-2019)
- 2.5.2 Global Algorithmic Trading Market Size Growth Rate by Application (2014-2019)
3 Global Algorithmic Trading by Players
- 3.1 Global Algorithmic Trading Market Size Market Share by Players
- 3.1.1 Global Algorithmic Trading Market Size by Players (2017-2019)
- 3.1.2 Global Algorithmic Trading Market Size Market Share by Players (2017-2019)
- 3.2 Global Algorithmic Trading Key Players Head office and Products Offered
- 3.3 Market Concentration Rate Analysis
- 3.3.1 Competition Landscape Analysis
- 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
- 3.4 New Products and Potential Entrants
- 3.5 Mergers & Acquisitions, Expansion
4 Algorithmic Trading by Regions
- 4.1 Algorithmic Trading Market Size by Regions
- 4.2 Americas Algorithmic Trading Market Size Growth
- 4.3 APAC Algorithmic Trading Market Size Growth
- 4.4 Europe Algorithmic Trading Market Size Growth
- 4.5 Middle East & Africa Algorithmic Trading Market Size Growth
5 Americas
- 5.1 Americas Algorithmic Trading Market Size by Countries
- 5.2 Americas Algorithmic Trading Market Size by Type
- 5.3 Americas Algorithmic Trading Market Size by Application
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Key Economic Indicators of Few Americas Countries
6 APAC
- 6.1 APAC Algorithmic Trading Market Size by Countries
- 6.2 APAC Algorithmic Trading Market Size by Type
- 6.3 APAC Algorithmic Trading Market Size by Application
- 6.4 China
- 6.5 Japan
- 6.6 Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
- 6.10 Key Economic Indicators of Few APAC Countries
7 Europe
- 7.1 Europe Algorithmic Trading by Countries
- 7.2 Europe Algorithmic Trading Market Size by Type
- 7.3 Europe Algorithmic Trading Market Size by Application
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
- 7.9 Spain
- 7.10 Key Economic Indicators of Few Europe Countries
8 Middle East & Africa
- 8.1 Middle East & Africa Algorithmic Trading by Countries
- 8.2 Middle East & Africa Algorithmic Trading Market Size by Type
- 8.3 Middle East & Africa Algorithmic Trading Market Size by Application
- 8.4 Egypt
- 8.5 South Africa
- 8.6 Israel
- 8.7 Turkey
- 8.8 GCC Countries
9 Market Drivers, Challenges and Trends
- 9.1 Market Drivers and Impact
- 9.1.1 Growing Demand from Key Regions
- 9.1.2 Growing Demand from Key Applications and Potential Industries
- 9.2 Market Challenges and Impact
- 9.3 Market Trends
10 Global Algorithmic Trading Market Forecast
- 10.1 Global Algorithmic Trading Market Size Forecast (2019-2024)
- 10.2 Global Algorithmic Trading Forecast by Regions
- 10.2.1 Global Algorithmic Trading Forecast by Regions (2019-2024)
- 10.2.2 Americas Market Forecast
- 10.2.3 APAC Market Forecast
- 10.2.4 Europe Market Forecast
- 10.2.5 Middle East & Africa Market Forecast
- 10.3 Americas Forecast by Countries
- 10.3.1 United States Market Forecast
- 10.3.2 Canada Market Forecast
- 10.3.3 Mexico Market Forecast
- 10.3.4 Brazil Market Forecast
- 10.4 APAC Forecast by Countries
- 10.4.1 China Market Forecast
- 10.4.2 Japan Market Forecast
- 10.4.3 Korea Market Forecast
- 10.4.4 Southeast Asia Market Forecast
- 10.4.5 India Market Forecast
- 10.4.6 Australia Market Forecast
- 10.5 Europe Forecast by Countries
- 10.5.1 Germany Market Forecast
- 10.5.2 France Market Forecast
- 10.5.3 UK Market Forecast
- 10.5.4 Italy Market Forecast
- 10.5.5 Russia Market Forecast
- 10.5.6 Spain Market Forecast
- 10.6 Middle East & Africa Forecast by Countries
- 10.6.1 Egypt Market Forecast
- 10.6.2 South Africa Market Forecast
- 10.6.3 Israel Market Forecast
- 10.6.4 Turkey Market Forecast
- 10.6.5 GCC Countries Market Forecast
- 10.7 Global Algorithmic Trading Forecast by Type
- 10.8 Global Algorithmic Trading Forecast by Application
11 Key Players Analysis
- 11.1 Virtu Financial
- 11.1.1 Company Details
- 11.1.2 Algorithmic Trading Product Offered
- 11.1.3 Virtu Financial Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.1.4 Main Business Overview
- 11.1.5 Virtu Financial News
- 11.2 DRW Trading
- 11.2.1 Company Details
- 11.2.2 Algorithmic Trading Product Offered
- 11.2.3 DRW Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.2.4 Main Business Overview
- 11.2.5 DRW Trading News
- 11.3 Optiver
- 11.3.1 Company Details
- 11.3.2 Algorithmic Trading Product Offered
- 11.3.3 Optiver Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.3.4 Main Business Overview
- 11.3.5 Optiver News
- 11.4 Tower Research Capital
- 11.4.1 Company Details
- 11.4.2 Algorithmic Trading Product Offered
- 11.4.3 Tower Research Capital Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.4.4 Main Business Overview
- 11.4.5 Tower Research Capital News
- 11.5 Flow Traders
- 11.5.1 Company Details
- 11.5.2 Algorithmic Trading Product Offered
- 11.5.3 Flow Traders Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.5.4 Main Business Overview
- 11.5.5 Flow Traders News
- 11.6 Hudson River Trading
- 11.6.1 Company Details
- 11.6.2 Algorithmic Trading Product Offered
- 11.6.3 Hudson River Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.6.4 Main Business Overview
- 11.6.5 Hudson River Trading News
- 11.7 Jump Trading
- 11.7.1 Company Details
- 11.7.2 Algorithmic Trading Product Offered
- 11.7.3 Jump Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.7.4 Main Business Overview
- 11.7.5 Jump Trading News
- 11.8 RSJ Algorithmic Trading
- 11.8.1 Company Details
- 11.8.2 Algorithmic Trading Product Offered
- 11.8.3 RSJ Algorithmic Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.8.4 Main Business Overview
- 11.8.5 RSJ Algorithmic Trading News
- 11.9 Spot Trading
- 11.9.1 Company Details
- 11.9.2 Algorithmic Trading Product Offered
- 11.9.3 Spot Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.9.4 Main Business Overview
- 11.9.5 Spot Trading News
- 11.10 Sun Trading
- 11.10.1 Company Details
- 11.10.2 Algorithmic Trading Product Offered
- 11.10.3 Sun Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2017-2019)
- 11.10.4 Main Business Overview
- 11.10.5 Sun Trading News
- 11.11 Tradebot Systems
- 11.12 IMC
- 11.13 Quantlab Financial
- 11.14 Teza Technologies
12 Research Findings and Conclusion
Summary:
Get latest Market Research Reports on Algorithmic Trading . Industry analysis & Market Report on Algorithmic Trading is a syndicated market report, published as Global Algorithmic Trading Market Growth (Status and Outlook) 2019-2024. It is complete Research Study and Industry Analysis of Algorithmic Trading market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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