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Global Algorithmic Trading Market Size, Status and Forecast 2019-2025

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Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Key Market Segments
    • 1.3 Players Covered
    • 1.4 Market Analysis by Type
      • 1.4.1 Global Algorithmic Trading Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 On-Premise
      • 1.4.3 Cloud-Based
    • 1.5 Market by Application
      • 1.5.1 Global Algorithmic Trading Market Share by Application (2014-2025)
      • 1.5.2 Investment Banks
      • 1.5.3 Funds
      • 1.5.4 Personal Investors
      • 1.5.5 Others
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 Algorithmic Trading Market Size
    • 2.2 Algorithmic Trading Growth Trends by Regions
      • 2.2.1 Algorithmic Trading Market Size by Regions (2014-2025)
      • 2.2.2 Algorithmic Trading Market Share by Regions (2014-2019)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Opportunities

    3 Market Share by Key Players

    • 3.1 Algorithmic Trading Market Size by Manufacturers
      • 3.1.1 Global Algorithmic Trading Revenue by Manufacturers (2014-2019)
      • 3.1.2 Global Algorithmic Trading Revenue Market Share by Manufacturers (2014-2019)
      • 3.1.3 Global Algorithmic Trading Market Concentration Ratio (CR5 and HHI)
    • 3.2 Algorithmic Trading Key Players Head office and Area Served
    • 3.3 Key Players Algorithmic Trading Product/Solution/Service
    • 3.4 Date of Enter into Algorithmic Trading Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global Algorithmic Trading Market Size by Type (2014-2019)
    • 4.2 Global Algorithmic Trading Market Size by Application (2014-2019)

    5 United States

    • 5.1 United States Algorithmic Trading Market Size (2014-2019)
    • 5.2 Algorithmic Trading Key Players in United States
    • 5.3 United States Algorithmic Trading Market Size by Type
    • 5.4 United States Algorithmic Trading Market Size by Application

    6 Europe

    • 6.1 Europe Algorithmic Trading Market Size (2014-2019)
    • 6.2 Algorithmic Trading Key Players in Europe
    • 6.3 Europe Algorithmic Trading Market Size by Type
    • 6.4 Europe Algorithmic Trading Market Size by Application

    7 China

    • 7.1 China Algorithmic Trading Market Size (2014-2019)
    • 7.2 Algorithmic Trading Key Players in China
    • 7.3 China Algorithmic Trading Market Size by Type
    • 7.4 China Algorithmic Trading Market Size by Application

    8 Japan

    • 8.1 Japan Algorithmic Trading Market Size (2014-2019)
    • 8.2 Algorithmic Trading Key Players in Japan
    • 8.3 Japan Algorithmic Trading Market Size by Type
    • 8.4 Japan Algorithmic Trading Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia Algorithmic Trading Market Size (2014-2019)
    • 9.2 Algorithmic Trading Key Players in Southeast Asia
    • 9.3 Southeast Asia Algorithmic Trading Market Size by Type
    • 9.4 Southeast Asia Algorithmic Trading Market Size by Application

    10 India

    • 10.1 India Algorithmic Trading Market Size (2014-2019)
    • 10.2 Algorithmic Trading Key Players in India
    • 10.3 India Algorithmic Trading Market Size by Type
    • 10.4 India Algorithmic Trading Market Size by Application

    11 Central & South America

    • 11.1 Central & South America Algorithmic Trading Market Size (2014-2019)
    • 11.2 Algorithmic Trading Key Players in Central & South America
    • 11.3 Central & South America Algorithmic Trading Market Size by Type
    • 11.4 Central & South America Algorithmic Trading Market Size by Application

    12 International Players Profiles

    • 12.1 Virtu Financial
      • 12.1.1 Virtu Financial Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 Algorithmic Trading Introduction
      • 12.1.4 Virtu Financial Revenue in Algorithmic Trading Business (2014-2019)
      • 12.1.5 Virtu Financial Recent Development
    • 12.2 DRW Trading
      • 12.2.1 DRW Trading Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 Algorithmic Trading Introduction
      • 12.2.4 DRW Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.2.5 DRW Trading Recent Development
    • 12.3 Optiver
      • 12.3.1 Optiver Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 Algorithmic Trading Introduction
      • 12.3.4 Optiver Revenue in Algorithmic Trading Business (2014-2019)
      • 12.3.5 Optiver Recent Development
    • 12.4 Tower Research Capital
      • 12.4.1 Tower Research Capital Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 Algorithmic Trading Introduction
      • 12.4.4 Tower Research Capital Revenue in Algorithmic Trading Business (2014-2019)
      • 12.4.5 Tower Research Capital Recent Development
    • 12.5 Flow Traders
      • 12.5.1 Flow Traders Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 Algorithmic Trading Introduction
      • 12.5.4 Flow Traders Revenue in Algorithmic Trading Business (2014-2019)
      • 12.5.5 Flow Traders Recent Development
    • 12.6 Hudson River Trading
      • 12.6.1 Hudson River Trading Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 Algorithmic Trading Introduction
      • 12.6.4 Hudson River Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.6.5 Hudson River Trading Recent Development
    • 12.7 Jump Trading
      • 12.7.1 Jump Trading Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 Algorithmic Trading Introduction
      • 12.7.4 Jump Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.7.5 Jump Trading Recent Development
    • 12.8 RSJ Algorithmic Trading
      • 12.8.1 RSJ Algorithmic Trading Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 Algorithmic Trading Introduction
      • 12.8.4 RSJ Algorithmic Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.8.5 RSJ Algorithmic Trading Recent Development
    • 12.9 Spot Trading
      • 12.9.1 Spot Trading Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 Algorithmic Trading Introduction
      • 12.9.4 Spot Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.9.5 Spot Trading Recent Development
    • 12.10 Sun Trading
      • 12.10.1 Sun Trading Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 Algorithmic Trading Introduction
      • 12.10.4 Sun Trading Revenue in Algorithmic Trading Business (2014-2019)
      • 12.10.5 Sun Trading Recent Development
    • 12.11 Tradebot Systems
    • 12.12 IMC
    • 12.13 Quantlab Financial
    • 12.14 Teza Technologies

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Regions
    • 13.2 United States
    • 13.3 Europe
    • 13.4 China
    • 13.5 Japan
    • 13.6 Southeast Asia
    • 13.7 India
    • 13.8 Central & South America
    • 13.9 Market Size Forecast by Product (2019-2025)
    • 13.10 Market Size Forecast by Application (2019-2025)

    14 Analyst's Viewpoints/Conclusions

      15 Appendix

      • 15.1 Research Methodology
        • 15.1.1 Methodology/Research Approach
          • 15.1.1.1 Research Programs/Design
          • 15.1.1.2 Market Size Estimation
          • 12.1.1.3 Market Breakdown and Data Triangulation
        • 15.1.2 Data Source
          • 15.1.2.1 Secondary Sources
          • 15.1.2.2 Primary Sources
      • 15.2 Disclaimer

      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
      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

      Market segment by Type, the product can be split into
      On-Premise
      Cloud-Based

      Market segment by Application, split into
      Investment Banks
      Funds
      Personal Investors
      Others

      Market segment by Regions/Countries, this report covers
      United States
      Europe
      China
      Japan
      Southeast Asia
      India
      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.

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