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Algorithmic Trading-Global Market Insights and Sales Trends 2024

Algorithmic Trading-Global Market Insights and Sales Trends 2024

Publishing Date : Nov, 2023

License Type :
 

Report Code : 1816983

No of Pages : 104

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Synopsis

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.

The global Algorithmic Trading market size is expected to reach US$ 14770 million by 2029, growing at a CAGR of 3.7% from 2023 to 2029. The market is mainly driven by the significant applications of Algorithmic Trading in various end use industries. The expanding demands from the Investment Banks, Funds, Personal Investors and Others, are propelling Algorithmic Trading market. On-Premise, one of the segments analysed in this report, is projected to record % CAGR and reach US$ million by the end of the analysis period. Growth in the Cloud-Based segment is estimated at % CAGR for the next seven-year period.

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.

Report Objectives

This report provides market insight on the different segments, by players, by Type, by Application. Market size and forecast (2018-2029) has been provided in the report. The primary objectives of this report are to provide 1) global market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends; 2) global market share and ranking by company; 3) comprehensive presentation of the global market for Algorithmic Trading, with both quantitative and qualitative analysis through detailed segmentation; 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants; 5) emerging opportunities in the market and the future impact of major drivers and restraints of the market.

Key Features of The Study:

This report provides in-depth analysis of the global Algorithmic Trading market, and provides market size (US$ million) and CAGR for the forecast period (2023-2029), considering 2022 as the base year.

This report profiles key players in the global Algorithmic Trading market based on the following parameters - company details (found date, headquarters, manufacturing bases), products portfolio, Algorithmic Trading sales data, market share and ranking.

This report elucidates potential market opportunities across different segments and explains attractive investment proposition matrices for this market.

This report illustrates key insights about market drivers, restraints, opportunities, market trends, regional outlook.
Key companies of Algorithmic Trading covered in this report include Virtu Financial, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading and Spot Trading, etc.

The global Algorithmic Trading market report caters to various stakeholders in this industry including investors, suppliers, product players, distributors, new entrants, and financial analysts.

Market Segmentation

Company Profiles:

  • 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

Global Algorithmic Trading market, by region:

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, France, UK, Italy, etc.)
  • Asia Pacific (China, Japan, South Korea, Southeast Asia, India, etc.)
  • South America (Brazil, etc.)
  • Middle East and Africa (Turkey, GCC Countries, Africa, etc.)

Global Algorithmic Trading market, Segment by Type:

  • On-Premise
  • Cloud-Based

Global Algorithmic Trading market, by Application

  • Investment Banks
  • Funds
  • Personal Investors
  • Others

Core Chapters

Chapter One: Introduces the report scope of the report, executive summary of global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2029). It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter Two: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter Three: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter Four: Detailed analysis of Algorithmic Trading companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter Five: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product introduction, revenue, recent development, etc.
Chapter Six, Seven, Eight, Nine and Ten: North America, Europe, Asia Pacific, Latin America, Middle East & Africa, revenue by country.
Chapter Eleven: this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter Twelve: Research Finding/Conclusion

Index

1 Market Overview of Algorithmic Trading
1.1 Algorithmic Trading Market Overview
1.1.1 Algorithmic Trading Product Scope
1.1.2 Algorithmic Trading Market Status and Outlook
1.2 Global Algorithmic Trading Market Size Overview by Region 2018 VS 2022 VS 2029
1.3 Global Algorithmic Trading Market Size by Region (2018-2029)
1.4 Global Algorithmic Trading Historic Market Size by Region (2018-2023)
1.5 Global Algorithmic Trading Market Size Forecast by Region (2024-2029)
1.6 Key Regions, Algorithmic Trading Market Size (2018-2029)
1.6.1 North America Algorithmic Trading Market Size (2018-2029)
1.6.2 Europe Algorithmic Trading Market Size (2018-2029)
1.6.3 Asia-Pacific Algorithmic Trading Market Size (2018-2029)
1.6.4 Latin America Algorithmic Trading Market Size (2018-2029)
1.6.5 Middle East & Africa Algorithmic Trading Market Size (2018-2029)
2 Algorithmic Trading Market by Type
2.1 Introduction
2.1.1 On-Premise
2.1.2 Cloud-Based
2.2 Global Algorithmic Trading Market Size by Type: 2018 VS 2022 VS 2029
2.2.1 Global Algorithmic Trading Historic Market Size by Type (2018-2023)
2.2.2 Global Algorithmic Trading Forecasted Market Size by Type (2024-2029)
2.3 Key Regions Market Size by Type
2.3.1 North America Algorithmic Trading Revenue Breakdown by Type (2018-2029)
2.3.2 Europe Algorithmic Trading Revenue Breakdown by Type (2018-2029)
2.3.3 Asia-Pacific Algorithmic Trading Revenue Breakdown by Type (2018-2029)
2.3.4 Latin America Algorithmic Trading Revenue Breakdown by Type (2018-2029)
2.3.5 Middle East and Africa Algorithmic Trading Revenue Breakdown by Type (2018-2029)
3 Algorithmic Trading Market Overview by Application
3.1 Introduction
3.1.1 Investment Banks
3.1.2 Funds
3.1.3 Personal Investors
3.1.4 Others
3.2 Global Algorithmic Trading Market Size by Application: 2018 VS 2022 VS 2029
3.2.1 Global Algorithmic Trading Historic Market Size by Application (2018-2023)
3.2.2 Global Algorithmic Trading Forecasted Market Size by Application (2024-2029)
3.3 Key Regions Market Size by Application
3.3.1 North America Algorithmic Trading Revenue Breakdown by Application (2018-2029)
3.3.2 Europe Algorithmic Trading Revenue Breakdown by Application (2018-2029)
3.3.3 Asia-Pacific Algorithmic Trading Revenue Breakdown by Application (2018-2029)
3.3.4 Latin America Algorithmic Trading Revenue Breakdown by Application (2018-2029)
3.3.5 Middle East and Africa Algorithmic Trading Revenue Breakdown by Application (2018-2029)
4 Algorithmic Trading Competition Analysis by Players
4.1 Global Algorithmic Trading Market Size by Players (2018-2023)
4.2 Global Top Players by Company Type (Tier 1, Tier 2 and Tier 3) & (based on the Revenue in Algorithmic Trading as of 2022)
4.3 Date of Key Players Enter into Algorithmic Trading Market
4.4 Global Top Players Algorithmic Trading Headquarters and Area Served
4.5 Key Players Algorithmic Trading Product Solution and Service
4.6 Competitive Status
4.6.1 Algorithmic Trading Market Concentration Rate
4.6.2 Mergers & Acquisitions, Expansion Plans
5 Company (Top Players) Profiles
5.1 Virtu Financial
5.1.1 Virtu Financial Profile
5.1.2 Virtu Financial Main Business
5.1.3 Virtu Financial Algorithmic Trading Products, Services and Solutions
5.1.4 Virtu Financial Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.1.5 Virtu Financial Recent Developments
5.2 DRW Trading
5.2.1 DRW Trading Profile
5.2.2 DRW Trading Main Business
5.2.3 DRW Trading Algorithmic Trading Products, Services and Solutions
5.2.4 DRW Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.2.5 DRW Trading Recent Developments
5.3 Optiver
5.3.1 Optiver Profile
5.3.2 Optiver Main Business
5.3.3 Optiver Algorithmic Trading Products, Services and Solutions
5.3.4 Optiver Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.3.5 Tower Research Capital Recent Developments
5.4 Tower Research Capital
5.4.1 Tower Research Capital Profile
5.4.2 Tower Research Capital Main Business
5.4.3 Tower Research Capital Algorithmic Trading Products, Services and Solutions
5.4.4 Tower Research Capital Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.4.5 Tower Research Capital Recent Developments
5.5 Flow Traders
5.5.1 Flow Traders Profile
5.5.2 Flow Traders Main Business
5.5.3 Flow Traders Algorithmic Trading Products, Services and Solutions
5.5.4 Flow Traders Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.5.5 Flow Traders Recent Developments
5.6 Hudson River Trading
5.6.1 Hudson River Trading Profile
5.6.2 Hudson River Trading Main Business
5.6.3 Hudson River Trading Algorithmic Trading Products, Services and Solutions
5.6.4 Hudson River Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.6.5 Hudson River Trading Recent Developments
5.7 Jump Trading
5.7.1 Jump Trading Profile
5.7.2 Jump Trading Main Business
5.7.3 Jump Trading Algorithmic Trading Products, Services and Solutions
5.7.4 Jump Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.7.5 Jump Trading Recent Developments
5.8 RSJ Algorithmic Trading
5.8.1 RSJ Algorithmic Trading Profile
5.8.2 RSJ Algorithmic Trading Main Business
5.8.3 RSJ Algorithmic Trading Algorithmic Trading Products, Services and Solutions
5.8.4 RSJ Algorithmic Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.8.5 RSJ Algorithmic Trading Recent Developments
5.9 Spot Trading
5.9.1 Spot Trading Profile
5.9.2 Spot Trading Main Business
5.9.3 Spot Trading Algorithmic Trading Products, Services and Solutions
5.9.4 Spot Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.9.5 Spot Trading Recent Developments
5.10 Sun Trading
5.10.1 Sun Trading Profile
5.10.2 Sun Trading Main Business
5.10.3 Sun Trading Algorithmic Trading Products, Services and Solutions
5.10.4 Sun Trading Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.10.5 Sun Trading Recent Developments
5.11 Tradebot Systems
5.11.1 Tradebot Systems Profile
5.11.2 Tradebot Systems Main Business
5.11.3 Tradebot Systems Algorithmic Trading Products, Services and Solutions
5.11.4 Tradebot Systems Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.11.5 Tradebot Systems Recent Developments
5.12 IMC
5.12.1 IMC Profile
5.12.2 IMC Main Business
5.12.3 IMC Algorithmic Trading Products, Services and Solutions
5.12.4 IMC Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.12.5 IMC Recent Developments
5.13 Quantlab Financial
5.13.1 Quantlab Financial Profile
5.13.2 Quantlab Financial Main Business
5.13.3 Quantlab Financial Algorithmic Trading Products, Services and Solutions
5.13.4 Quantlab Financial Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.13.5 Quantlab Financial Recent Developments
5.14 Teza Technologies
5.14.1 Teza Technologies Profile
5.14.2 Teza Technologies Main Business
5.14.3 Teza Technologies Algorithmic Trading Products, Services and Solutions
5.14.4 Teza Technologies Algorithmic Trading Revenue (US$ Million) & (2018-2023)
5.14.5 Teza Technologies Recent Developments
6 North America
6.1 North America Algorithmic Trading Market Size by Country (2018-2029)
6.2 U.S.
6.3 Canada
7 Europe
7.1 Europe Algorithmic Trading Market Size by Country (2018-2029)
7.2 Germany
7.3 France
7.4 U.K.
7.5 Italy
7.6 Russia
7.7 Nordic Countries
7.8 Rest of Europe
8 Asia-Pacific
8.1 Asia-Pacific Algorithmic Trading Market Size by Region (2018-2029)
8.2 China
8.3 Japan
8.4 South Korea
8.5 Southeast Asia
8.6 India
8.7 Australia
8.8 Rest of Asia-Pacific
9 Latin America
9.1 Latin America Algorithmic Trading Market Size by Country (2018-2029)
9.2 Mexico
9.3 Brazil
9.4 Rest of Latin America
10 Middle East & Africa
10.1 Middle East & Africa Algorithmic Trading Market Size by Country (2018-2029)
10.2 Turkey
10.3 Saudi Arabia
10.4 UAE
10.5 Rest of Middle East & Africa
11 Algorithmic Trading Market Dynamics
11.1 Algorithmic Trading Industry Trends
11.2 Algorithmic Trading Market Drivers
11.3 Algorithmic Trading Market Challenges
11.4 Algorithmic Trading Market Restraints
12 Research Finding /Conclusion
13 Methodology and Data Source
13.1 Methodology/Research Approach
13.1.1 Research Programs/Design
13.1.2 Market Size Estimation
13.1.3 Market Breakdown and Data Triangulation
13.2 Data Source
13.2.1 Secondary Sources
13.2.2 Primary Sources
13.3 Disclaimer
13.4 Author List

Published By : QY Research

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