Global algorithmic trading market is anticipated to grow at a CAGR of around 11% during the forecast period. The global algorithmic trading market is expected to witness progressive growth and reach the market value of around $ 19 billion by 2024. The key reasons for the growth of the algorithmic trading market include increasing demand for rapid, reliable and effective order execution and reducing transactional costs. Moreover, increasing rules and regulations by the government authorities are further aiding the market growth. Algorithmic trading is defined as a technology platform which provides benefit of artificial intelligence coupled with human intelligence. Furthermore, this technology allows the investment managers to take control of their own trading procedures, which is anticipated to further spur growth of the market in the upcoming years.

Global algorithmic trading market can be segmented based on component, trading type, enterprise size, deployment mode and regional analysis. Based on trading type, the market can be segmented into Foreign Exchange (FOREX), Stock Markets, ETF, Bonds, Cryptocurrencies and Others. Among them, the ETF segment is expected to witness fastest growth in the algorithmic trading market in the next 5 years on account of increasing demand for automated trading across the globe. Also, the traders can gain maximum profits out of the ETFs as it provides low average costs to traders. Based on region, the market is segregated into North America, Europe, South America, Asia-pacific and Middle East and Africa. Among them, North America held the largest market share until 2018 and is expected to maintain its dominance in the forthcoming years as well which can be attributed to high adopting and developing algorithmic trading in the region. Moreover, Asia-Pacific is projected to grow at a poised rate during the forecast period due to increasing awareness about the benefits of intelligent solutions.

The major players operating in the global algorithmic trading market of include Thomson Reuters, Virtu Financial, Software AG, MetaQuotes Software, Symphony Fintech, Kuberre Systems, Tata Consulting Services, QuantCore Capital Management, Automated Trading SoftTech, Trading Technologies. Major companies are developing advanced technologies in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions.

Years considered for this report:

Historical Years: 2014-2017

Base Year: 2018

Estimated Year: 2019

Forecast Period: 2020–2024

Objective of the Study:

  • To analyze and forecast the market size of global algorithmic trading market.
  • To classify and forecast global algorithmic trading market based on component, trading type, enterprise size, deployment mode and regional distribution.
  • To identify drivers and challenges for global algorithmic trading market.
  • To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global algorithmic trading market.
  • To conduct the pricing analysis for global algorithmic trading market.
  • To identify and analyze the profile of leading players operating in the global algorithmic trading market.


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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service offerings, distribution channels and presence of all major service providers across the globe.

TechSci Research calculated the market size of global algorithmic trading market by using a bottom-up approach, where data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these services and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.


Key Target Audience:

  • Algorithmic trading service providers
  • Research organizations and consulting companies
  • Trade Associations, organizations, forums and alliances related to algorithmic trading
  • Government bodies such as regulating authorities and policy makers
  • Industry associations

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

Report Scope:

In this report, global algorithmic trading market has been segmented into following categories, in addition to the industry trends which have also been detailed below:

  • Market, by Component:
    • Software
    • Service
  • Market, by Trading Type:
    • FOREX
    • Stock Markets
    • ETF
    • Bonds
    • Cryptocurrencies
    • Others
  • Market, by Enterprise Size:
    • Small & Medium Enterprises
    • Large Enterprises
  • Market, by Deployment Mode:
    • Cloud
    • On-premises
  • Market, by Region:
    • North America
      • United States
      • Mexico
      • Canada
    • Europe
      • Germany
      • France
      • United Kingdom
      • Italy
      • Spain
    • Asia-Pacific
      • China
      • India 
      • Japan
      • South Korea
      • Australia
    • Middle East & Africa
      • South Africa
      • Saudi Arabia
      • UAE
    • South America
      • Brazil
      • Argentina
      • Colombia

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in global algorithmic trading market

Available Customizations:

With the given market data, TechSci Research offers customizations according to a company’s specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).
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1.    Product Overview

2.    Research Methodology

3.    Executive Summary

4.    Voice of Customer

5.    Global Algorithmic Trading Market Outlook

5.1.  Market Size & Forecast

5.1.1.     By Value

5.2.  Market Share & Forecast

5.2.1.     By Component (Software; Service)

5.2.2.     By Trading Type (FOREX, Stock Markets, ETF, Bonds, Cryptocurrencies and Others)

5.2.3.     By Enterprise Size (Small & Medium Enterprises and Large Enterprises)

5.2.4.     By Deployment Mode (Cloud and On-premises)

5.2.5.     By Region

5.2.6.     By Company (2018)

5.3.  Product Market Map

6.    North America Algorithmic Trading Market Outlook

6.1.  Market Size & Forecast          

6.1.1.     By Value

6.2.  Market Share & Forecast

6.2.1.     By Component

6.2.2.     By Trading Type

6.2.3.     By Enterprise Size

6.2.4.     By Deployment Mode

6.2.5.     By Country (United States; Canada; Mexico and Rest of North America)

6.3.  North America: Country Analysis

6.3.1.     United States Algorithmic Trading Market Outlook

6.3.1.1.         Market Size & Forecast

6.3.1.1.1.             By Value

6.3.1.2.         Market Share & Forecast

6.3.1.2.1.             By Component

6.3.1.2.2.             By Enterprise Size

6.3.1.2.3.             By Deployment Mode

6.3.2.     Canada Algorithmic Trading Market Outlook

6.3.2.1.         Market Size & Forecast

6.3.2.1.1.             By Value

6.3.2.2.         Market Share & Forecast

6.3.2.2.1.             By Component

6.3.2.2.2.             By Enterprise Size

6.3.2.2.3.             By Deployment Mode

6.3.3.     Mexico Algorithmic Trading Market Outlook

6.3.3.1.         Market Size & Forecast

6.3.3.1.1.             By Value

6.3.3.2.         Market Share & Forecast

6.3.3.2.1.             By Component

6.3.3.2.2.             By Enterprise Size

6.3.3.2.3.             By Deployment Mode

7.    Europe Algorithmic Trading Market Outlook

7.1.  Market Size & Forecast          

7.1.1.     By Value

7.2.  Market Share & Forecast

7.2.1.     By Component

7.2.2.     By Trading Type

7.2.3.     By Enterprise Size

7.2.4.     By Deployment Mode

7.2.5.     By Country (France; Germany; UK; Italy; Spain and Rest of Europe)

7.3.  Europe: Country Analysis

7.3.1.     France Algorithmic Trading Market Outlook

7.3.1.1.         Market Size & Forecast

7.3.1.1.1.             By Value

7.3.1.2.         Market Share & Forecast

7.3.1.2.1.             By Component

7.3.1.2.2.             By Enterprise Size

7.3.1.2.3.             By Deployment Mode

7.3.2.     Germany Algorithmic Trading Market Outlook

7.3.2.1.         Market Size & Forecast

7.3.2.1.1.             By Value

7.3.2.2.         Market Share & Forecast

7.3.2.2.1.             By Component

7.3.2.2.2.             By Enterprise Size

7.3.2.2.3.             By Deployment Mode

7.3.3.     United Kingdom Algorithmic Trading Market Outlook

7.3.3.1.         Market Size & Forecast

7.3.3.1.1.             By Value

7.3.3.2.         Market Share & Forecast

7.3.3.2.1.             By Component

7.3.3.2.2.             By Enterprise Size

7.3.3.2.3.             By Deployment Mode

7.3.4.     Italy Algorithmic Trading Market Outlook

7.3.4.1.         Market Size & Forecast

7.3.4.1.1.             By Value

7.3.4.2.         Market Share & Forecast

7.3.4.2.1.             By Component

7.3.4.2.2.             By Enterprise Size

7.3.4.2.3.             By Deployment Mode

7.3.5.     Spain Algorithmic Trading Market Outlook

7.3.5.1.         Market Size & Forecast

7.3.5.1.1.             By Value

7.3.5.2.         Market Share & Forecast

7.3.5.2.1.             By Component

7.3.5.2.2.             By Enterprise Size

7.3.5.2.3.             By Deployment Mode

8.    Asia-Pacific Algorithmic Trading Market Outlook

8.1.  Market Size & Forecast          

8.1.1.     By Value

8.2.  Market Share & Forecast

8.2.1.     By Component

8.2.2.     By Trading Type

8.2.3.     By Enterprise Size

8.2.4.     By Deployment Mode

8.2.5.     By Country (China; India; Japan; South Korea; Australia; and Rest of Asia Pacific)

8.3.  Asia-Pacific: Country Analysis

8.3.1.     China Algorithmic Trading Market Outlook

8.3.1.1.         Market Size & Forecast

8.3.1.1.1.             By Value

8.3.1.2.         Market Share & Forecast

8.3.1.2.1.             By Component

8.3.1.2.2.             By Enterprise Size

8.3.1.2.3.             By Deployment Mode

8.3.2.     India Algorithmic Trading Market Outlook

8.3.2.1.         Market Size & Forecast

8.3.2.1.1.             By Value

8.3.2.2.         Market Share & Forecast

8.3.2.2.1.             By Component

8.3.2.2.2.             By Enterprise Size

8.3.2.2.3.             By Deployment Mode

8.3.3.     Japan Algorithmic Trading Market Outlook

8.3.3.1.         Market Size & Forecast

8.3.3.1.1.             By Value

8.3.3.2.         Market Share & Forecast

8.3.3.2.1.             By Component

8.3.3.2.2.             By Enterprise Size

8.3.3.2.3.             By Deployment Mode

8.3.4.     South Korea Algorithmic Trading Market Outlook

8.3.4.1.         Market Size & Forecast

8.3.4.1.1.             By Value

8.3.4.2.         Market Share & Forecast

8.3.4.2.1.             By Component

8.3.4.2.2.             By Enterprise Size

8.3.4.2.3.             By Deployment Mode

8.3.5.     Australia Algorithmic Trading Market Outlook

8.3.5.1.         Market Size & Forecast

8.3.5.1.1.             By Value

8.3.5.2.         Market Share & Forecast

8.3.5.2.1.             By Component

8.3.5.2.2.             By Enterprise Size

8.3.5.2.3.             By Deployment Mode

9.    Middle East and Africa Algorithmic Trading Market Outlook

9.1.  Market Size & Forecast          

9.1.1.     By Value

9.2.  Market Share & Forecast

9.2.1.     By Component

9.2.2.     By Trading Type

9.2.3.     By Enterprise Size

9.2.4.     By Deployment Mode

9.2.5.     By Country (UAE; Saudi Arabia; South Africa and Rest of Middle East & Africa)

9.3.  MEA: Country Analysis

9.3.1.     South Africa Algorithmic Trading Market Outlook

9.3.1.1.         Market Size & Forecast

9.3.1.1.1.             By Value

9.3.1.2.         Market Share & Forecast

9.3.1.2.1.             By Component

9.3.1.2.2.             By Enterprise Size

9.3.1.2.3.             By Deployment Mode

9.3.2.     Saudi Arabia Algorithmic Trading Market Outlook

9.3.2.1.         Market Size & Forecast

9.3.2.1.1.             By Value

9.3.2.2.         Market Share & Forecast

9.3.2.2.1.             By Component

9.3.2.2.2.             By Enterprise Size

9.3.2.2.3.             By Deployment Mode

9.3.3.     UAE Algorithmic Trading Market Outlook

9.3.3.1.         Market Size & Forecast

9.3.3.1.1.             By Value

9.3.3.2.         Market Share & Forecast

9.3.3.2.1.             By Component

9.3.3.2.2.             By Enterprise Size

9.3.3.2.3.             By Deployment Mode

10.  South America Algorithmic Trading Market Outlook

10.1.              Market Size & Forecast

10.1.1.  By Value

10.2.              Market Share & Forecast

10.2.1.  By Component

10.2.2.  By Trading Type

10.2.3.  By Enterprise Size

10.2.4.  By Deployment Mode

10.2.5.  By Country (Brazil; Argentina; Colombia; and Rest of South America)

10.3.              South America: Country Analysis

10.3.1.  Brazil Algorithmic Trading Market Outlook

10.3.1.1.      Market Size & Forecast

10.3.1.1.1.           By Value

10.3.1.2.      Market Share & Forecast

10.3.1.2.1.           By Component

10.3.1.2.2.           By Enterprise Size

10.3.1.2.3.           By Deployment Mode

10.3.2.  Argentina Algorithmic Trading Market Outlook

10.3.2.1.      Market Size & Forecast

10.3.2.1.1.           By Value

10.3.2.2.      Market Share & Forecast

10.3.2.2.1.           By Component

10.3.2.2.2.           By Enterprise Size

10.3.2.2.3.           By Deployment Mode

10.3.3.  Colombia Algorithmic Trading Market Outlook

10.3.3.1.      Market Size & Forecast

10.3.3.1.1.           By Value

10.3.3.2.      Market Share & Forecast

10.3.3.2.1.           By Component

10.3.3.2.2.           By Enterprise Size

10.3.3.2.3.           By Deployment Mode

11.  Market Dynamics

11.1.              Drivers

11.2.              Challenges

12.  Market Trends & Developments

13.  Competitive Landscape

13.1.              Competition Outlook

13.2.              Company Profiles

13.2.1.  Thomson Reuters

13.2.2.  Virtu Financial

13.2.3.  Software AG

13.2.4.  MetaQuotes Software

13.2.5.  Symphony Fintech

13.2.6.  Kuberre Systems

13.2.7.  Tata Consulting Services

13.2.8.  QuantCore Capital Management

13.2.9.  Automated Trading SoftTech

13.2.10.                Trading Technologies

14.  Strategic Recommendations

 (Note: The companies list can be customized based on the client requirements.)

In case you don’t find what you are looking for, please get in touch with our custom research team at sales@techsciresearch.com