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Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

Market Overview:

The global algorithmic trading market reached a value of US$ 13.0 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 24.0 Billion by 2027, exhibiting a CAGR of 11.4% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic. These insights are included in the report as a major market contributor.

Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.

 

 
 

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Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.

IMARC Group’s latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global algorithmic trading market, along with forecasts at the global and regional level from 2022-2027. Our report has categorized the market based on trading type, components, deployment model and organization size.

Breakup by Trading Type:

 

 
 

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  • Foreign Exchange (FOREX)
  • Stock Markets
  • Exchange-Traded Fund (ETF)
  • Bonds
  • Cryptocurrencies
  • Others
     

Breakup by Components:

  • Solutions
    • Platforms
    • Software Tools
  • Services
    • Professional Services
    • Managed Services
       

Breakup by Deployment Model:

  • On-Premises
  • Cloud
     

Breakup by Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises
     

Breakup by Region:

 

 
 

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  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa
     

Competitive Landscape:

The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd. etc.

Report Coverage:

Report Features Details
Base Year of the Analysis 2021
Historical Period 2016-2021
Forecast Period 2022-2027
Units US$ Billion
Segment Coverage Trading Type, Components, Deployment Model, Organization Size, Region
Region Covered  Asia Pacific, Europe, North America, Latin America, Middle East and Africa
Companies Covered Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.
Customization Scope 10% Free Customization
Report Price and Purchase Option Single User License: US$ 2499
Five User License: US$ 3499
Corporate License: US$ 4499
Post-Sale Analyst Support 10-12 Weeks
Delivery Format PDF and Excel through Email (We can also provide the editable version of the report in PPT/Word format on special request)

1  Preface
2  Scope and Methodology

    2.1    Objectives of the Study
    2.2    Stakeholders
    2.3    Data Sources
        2.3.1    Primary Sources
        2.3.2    Secondary Sources
    2.4    Market Estimation
        2.4.1    Bottom-Up Approach
        2.4.2    Top-Down Approach
    2.5    Forecasting Methodology
3  Executive Summary
4  Introduction

    4.1    Overview
    4.2    Key Industry Trends
5  Global Algorithmic Trading Market
    5.1    Market Overview
    5.2    Market Performance
    5.3    Impact of COVID-19
    5.4    Market Breakup by Trading Type
    5.5    Market Breakup by Components
    5.6    Market Breakup by Deployment Model
    5.7    Market Breakup by Organization Size
    5.8    Market Breakup by Region
    5.9    Market Forecast
6  Market Breakup by Trading Type
    6.1    Foreign Exchange (FOREX)
        6.1.1    Market Trends
        6.1.2    Market Forecast
    6.2    Stock Markets
        6.2.1    Market Trends
        6.2.2    Market Forecast
    6.3    Exchange-Traded Fund (ETF)
        6.3.1    Market Trends
        6.3.2    Market Forecast
    6.4    Bonds
        6.4.1    Market Trends
        6.4.2    Market Forecast
    6.5    Cryptocurrencies
        6.5.1    Market Trends
        6.5.2    Market Forecast
    6.6    Others
        6.6.1    Market Trends
        6.6.2    Market Forecast
7   Market Breakup by Components
    7.1    Solutions
        7.1.1    Market Trends
        7.1.2     Major Types
              7.1.2.1    Platforms
              7.1.2.2    Software Tools
        7.1.3    Market Forecast
    7.2    Services
        7.2.1    Market Trends
        7.2.2     Major Types
              7.2.2.1    Professional Services
              7.2.2.2    Managed Services
        7.2.3    Market Forecast
8   Market Breakup by Deployment Model
    8.1    On-Premises
        8.1.1    Market Trends
        8.1.2    Market Forecast
    8.2    Cloud
        8.2.1    Market Trends
        8.2.2    Market Forecast
9   Market Breakup by Organization Size
    9.1    Small and Medium Enterprises
        9.1.1    Market Trends
        9.1.2    Market Forecast
    9.2    Large Enterprises
        9.2.1    Market Trends
        9.2.2    Market Forecast
10  Market Breakup by Region
    10.1    North America
        10.1.1    Market Trends
        10.1.2    Market Forecast
    10.2    Europe 
        10.2.1    Market Trends
        10.2.2    Market Forecast
    10.3    Asia Pacific
        10.3.1    Market Trends
        10.3.2    Market Forecast
    10.4    Middle East and Africa
        10.4.1    Market Trends
        10.4.2    Market Forecast
    10.5    Latin America
        10.5.1    Market Trends
        10.5.2    Market Forecast
11  SWOT Analysis
    11.1    Overview
    11.2    Strengths
    11.3    Weaknesses
    11.4    Opportunities
    11.5    Threats
12  Value Chain Analysis
13  Porter’s Five Forces Analysis

    13.1    Overview
    13.2    Bargaining Power of Buyers
    13.3    Bargaining Power of Suppliers
    13.4    Degree of Competition
    13.5    Threat of New Entrants
    13.6    Threat of Substitutes
14  Competitive Landscape
    14.1    Market Structure
    14.2    Key Players
    14.3    Profiles of Key Players
        14.3.1    Vela Trading Systems LLC
        14.3.2    Meta-Quotes Limited
        14.3.3   Trading Technologies International Inc.
        14.3.4   Software AG
        14.3.5   AlgoTrader
        14.3.6    uTrade Solutions Private Limited
        14.3.7    Automated Trading SoftTech Private Limited
        14.3.8     Kuberre Systems Inc.
        14.3.9      InfoReach Inc.
        14.3.10      Virtu Financial Inc.
        14.3.11     Tata Consultancy Services
        14.3.12      Argo Group International Holdings Limited
        14.3.13     Thomson Reuters Corporation
        14.3.14      iRageCapital Advisory Private Limited
        14.3.15      63 Moons Technologies Ltd. 

List of Figures

Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2016-2021
Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2021
Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2021
Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2021
Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2021
Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2021
Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2022-2027
Figure 9: Global: Algorithmic Trading Industry: SWOT Analysis
Figure 10: Global: Algorithmic Trading Industry: Value Chain Analysis
Figure 11: Global: Algorithmic Trading Industry: Porter’s Five Forces Analysis
Figure 12: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market: Sales Value (in Million US$), 2016 & 2021
Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2016 & 2021
Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2016 & 2021
Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2016 & 2021
Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2016 & 2021
Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2016 & 2021
Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2016 & 2021
Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2016 & 2021
Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2016 & 2021
Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027

List of Tables

Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2021 and 2027
Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2022-2027
Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2022-2027
Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2022-2027
Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2022-2027
Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2022-2027
Table 7: Global: Algorithmic Trading Market Structure
Table 8: Global: Algorithmic Trading Market: Key Players


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Key Questions Answered in This Report

The global algorithmic trading market was valued at US$ 13.0 Billion in 2021.

We expect the global algorithmic trading market to exhibit a CAGR of 11.4% during 2022-2027.

The growing prominence of high-frequency trading that involves placing large trade orders across
multiple markets and facilitate prompt decision-making, is primarily driving the global algorithmic
trading market.

The sudden outbreak of the COVID-19 pandemic has led to the rising adoption of algorithmic trading
using computer programs with a pre-defined set of instructions to administer a trading activity and
allow investors to take control of the trading process remotely through a local device.

Based on the components, the global algorithmic trading market has been divided into solutions and
services, where solutions exhibit a clear dominance in the market.

Based on the deployment model, the global algorithmic trading market can be segmented into on-
premises and cloud. Currently, cloud model represents the largest market share.

On a regional level, the market has been classified into North America, Europe, Asia Pacific, Middle
East and Africa, and Latin America, where North America currently dominates the global market.

Some of the major players in the global algorithmic trading market include Vela Trading Systems LLC,
Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade
Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc.,
InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings
Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, 63 Moons
Technologies Ltd., etc.

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