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Algorithmic Trading Market 2025 - Global Analysis and Forecasts by Functions (Programming, Debugging, Data Extraction, Back-Testing & Optimization and Risk Management); and Application (Equities, Commodities, FOREX, Funds and Others)

  • THE3206748
  • 141 Pages
  • December 2017
  • ICT & Media
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Algorithmic trading market is expected to grow US$ 18,160.8 Mn by 2025 from US$ 8,790.7 Mn in 2016. Algorithm trading is also well known as black-box trading or automated trading. It is basically a process that makes use of computer languages for placing a trade in order by following a particular set of instructions that enables the human traders to generate profits efficiently and effectively.

Key trend which will predominantly effect the market in coming year integration of artificial intelligence capabilities with the current algorithm. Companies are working on customized chips integrated with algorithm trading strategies which enables robots to handle real-time interpretation and integration of data from many different sources. Current algorithm trading strategies enables software programs to perform trading operations based on pre-defined instructions set by the programmer with no means in altering decisions based on dynamic market conditions. With machine learning capabilities integrated into trading software platforms with advanced algorithms, software programs are expected to gain unprecedented power to make decisions based on real time market situations and manage profitable trading for humans.

Global algorithm trading market has been categorized by functions, the market is broken down into order management and risk management & compliances. In coming years demand for risk management is expected to grow exponentially owing to the rising need for end-to-end risk assessment process by the businesses, whereas order management would continue to grow at a steady pace. The application segment is fragmented into equities, commodities, FOREX, funds, future & options, fixed income and derivatives among others. In coming years, the FOREX is expected to showcase positive outlook for the investors whereas Funds, or Exchange Traded Funds (ETF) are expected to grow at relatively the highest rate.

The overall market size has been derived using both primary and secondary source. The research process begins with an exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the market. Also, primary interview were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers and national sales managers, and external consultant such as valuation experts, research analysts and key opinion leaders specializing in the algorithmic trading industry.

1 Introduction

1.1 Scope of Study

1.2 The Insight Partners Research Report Guidance

2 Key Takeaways

3 Algorithmic Trading Market Landscape

3.1 Market Overview

3.2 Market Segmentation

3.2.1 Algorithmic Trading Market - By Functions

3.2.2 Algorithmic Trading Market - By Application

3.2.3 Algorithmic Trading Market - By Region

3.2.3.1 By Countries

3.3 PEST Analysis

3.3.1 North America - PEST Analysis

3.3.2 Europe - PEST Analysis

3.3.3 Asia Pacific - PEST Analysis

3.3.4 Middle East and Africa - PEST Analysis

3.3.5 South America - PEST Analysis

4 Algorithmic Trading Market - Key Industry Dynamics

4.1 Key Market Drivers

4.2 Key Market Restraints

4.3 Key Market Opportunities

4.4 Future Trends

4.5 Impact Analysis

5 Algorithmic Trading Market Analysis- Global

5.1 Global Algorithmic Trading Market Overview

5.2 Global Algorithmic Trading Market Forecasts and Analysis

6 Algorithmic Trading Market Revenue and Forecasts to 2025 - Functions (Qualitative Insights)

6.1 Overview

6.2 Functions Market Analysis

6.3 Programming Market

6.3.1 Overview

6.3.2 Programming Market Analysis

6.4 Debugging Market

6.4.1 Overview

6.4.2 Debugging Market Analysis

6.5 Data Extraction Market

6.5.1 Overview

6.5.2 Data Extraction Market Analysis

6.6 Back-Testing & Optimization Market

6.6.1 Overview

6.6.2 Back-Testing & Optimization Market Analysis

6.7 Risk Management Market

6.7.1 Overview

6.7.2 Risk Management Market Analysis

7 Algorithmic Trading Market Revenue and Forecasts to 2025 - Application

7.1 Overview

7.2 Application Market Forecasts and Analysis

7.3 Equities Market

7.3.1 Overview

7.3.2 Equities Market Forecasts and Analysis

7.4 Commodities Market

7.4.1 Overview

7.4.2 Commodities Market Forecasts and Analysis

7.5 FOREX Market

7.5.1 Overview

7.5.2 FOREX Market Forecasts and Analysis

7.6 Funds Market

7.6.1 Overview

7.6.2 Funds Market Forecasts and Analysis

7.6.3 Mutual Funds Market

7.6.3.1 Overview

7.6.3.2 Mutual Funds Market Forecasts and Analysis

7.6.4 Pension Funds Market

7.6.4.1 Overview

7.6.4.2 Pension Funds Market Forecasts and Analysis

7.6.5 Hedge Funds Market

7.6.5.1 Overview

7.6.5.2 Hedge Funds Market Forecasts and Analysis

7.7 Others Market

7.7.1 Overview

7.7.2 Others Market Forecasts and Analysis

8 Algorithmic Trading Market Revenue and Forecasts to 2025 - Geographical Analysis

8.1 North America

8.1.1 North America Algorithmic Trading Market Overview

8.1.2 North America Algorithmic Trading Market Forecasts and Analysis

8.1.2.1 North America Market Forecasts and Analysis - By Countries

8.1.2.1.1 US market

8.1.2.1.2 Canada market

8.1.2.1.3 Mexico market

8.1.2.2 North America Market Forecasts and Analysis - By Functions

8.1.2.3 North America Market Forecasts and Analysis - By Application

8.2 Europe

8.2.1 Europe Algorithmic Trading Market Overview

8.2.2 Europe Algorithmic Trading Market Forecasts and Analysis

8.2.2.1 Europe Market Forecasts and Analysis - By Countries

8.2.2.1.1 France market

8.2.2.1.2 Germany market

8.2.2.1.3 Italy market

8.2.2.1.4 Spain market

8.2.2.1.5 UK market

8.2.2.2 Europe Market Forecasts and Analysis - By Functions

8.2.2.3 Europe Market Forecasts and Analysis - By Application

8.3 Asia pacific (APAC)

8.3.1 Asia Pacific Algorithmic Trading Market Overview

8.3.2 Asia Pacific Algorithmic Trading Market Forecasts and Analysis

8.3.2.1 Asia Pacific Market Forecasts and Analysis - By Countries

8.3.2.1.1 Australia market

8.3.2.1.2 China market

8.3.2.1.3 India market

8.3.2.1.4 Japan market

8.3.2.2 Asia Pacific Market Forecasts and Analysis - By Functions

8.3.2.3 Asia Pacific Market Forecasts and Analysis - By Application

8.4 Middle East and Africa (MEA)

8.4.1 Middle East and Africa Algorithmic Trading Market Overview

8.4.2 Middle East and Africa Algorithmic Trading Market Forecasts and Analysis

8.4.2.1 Middle East and Africa Market Forecasts and Analysis - By Countries

8.4.2.1.1 South Africa market

8.4.2.1.2 Saudi Arabia market

8.4.2.1.3 UAE market

8.4.2.2 Middle East and Africa Market Forecasts and Analysis - By Functions

8.4.2.3 Middle East and Africa Market Forecasts and Analysis - By Application

8.5 South America (SAM)

8.5.1 South America Algorithmic Trading Market Overview

8.5.2 South America Algorithmic Trading Market Forecasts and Analysis

8.5.2.1 South America Market Forecasts and Analysis - By Countries

8.5.2.1.1 Brazil market

8.5.3 South America Market Forecasts and Analysis - By Functions

8.5.4 South America Market Forecasts and Analysis - By Application

9 Industry Landscape

9.1 Mergers & acquisitions

9.2 Market Initiatives

9.3 New developments

9.4 Investment scenarios

10 Competitive Landscape

10.1 Competitive Product mapping

10.2 Market Positioning/ Market Share

11 Algorithmic Trading Market, Key Company Profiles

11.1 AlgoTrader GmbH

11.1.1 Key Facts

11.1.2 Business Description

11.1.3 Company Size and services

11.1.4 Financial Overview

11.1.5 SWOT Analysis

11.1.6 Key Developments

11.2 Trading Technologies International, Inc.

11.2.1 Key Facts

11.2.2 Business Description

11.2.3 Company Size and services

11.2.4 Financial Overview

11.2.5 SWOT Analysis

11.2.6 Key Developments

11.3 InfoReach, Inc.

11.3.1 Key Facts

11.3.2 Business Description

11.3.3 Company Size and services

11.3.4 Financial Overview

11.3.5 SWOT Analysis

11.3.6 Key Developments

11.4 Tethys Technology, Inc.

11.4.1 Key Facts

11.4.2 Business Description

11.4.3 Company Size and services

11.4.4 Financial Overview

11.4.5 SWOT Analysis

11.4.6 Key Developments

11.5 Lime Brokerage LLC

11.5.1 Key Facts

11.5.2 Business Description

11.5.3 Company Size and services

11.5.4 Financial Overview

11.5.5 SWOT Analysis

11.5.6 Key Developments

11.6 FlexTrade Systems, Inc.

11.6.1 Key Facts

11.6.2 Business Description

11.6.3 Company Size and services

11.6.4 Financial Overview

11.6.5 SWOT Analysis

11.6.6 Key Developments

11.7 Tower Research Capital LLC

11.7.1 Key Facts

11.7.2 Business Description

11.7.3 Company Size and services

11.7.4 Financial Overview

11.7.5 SWOT Analysis

11.7.6 Key Developments

11.8 Virtu Financial

11.8.1 Key Facts

11.8.2 Business Description

11.8.3 Company Size and services

11.8.4 Financial Overview

11.8.5 SWOT Analysis

11.8.6 Key Developments

11.9 Hudson River Trading LLC

11.9.1 Key Facts

11.9.2 Business Description

11.9.3 Company Size and services

11.9.4 Financial Overview

11.9.5 SWOT Analysis

11.9.6 Key Developments

11.10 Citadel LLC

11.10.1 Key Facts

11.10.2 Business Description

11.10.3 Company Size and services

11.10.4 Financial Overview

11.10.5 SWOT Analysis

11.10.6 Key Developments

12 Appendix

12.1 About The Insight Partners

12.2 Glossary of Terms

12.3 Research Methodology

 
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