Algorithmic Trading Comprehensive Study by Component (Software (Cloud-based, On-premise, Hybrid), Services (Managed/Outsourced, Professional)), Trading (Forex, Stock Markets, Commodities, Bonds, Cryptocurrency) Players and Region - Global Market Outlook to 2026

Algorithmic Trading Market by XX Submarkets | Forecast Years 2022-2027 | CAGR: 9.9%  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Algorithmic trading or simply algo trading is the use of computer programs and software to execute trades based on predefined criteria and without any human intervention. It is the use of mathematical models to analyze each quote and trade in the stock market, identify liquidity opportunities, and turn the information into intelligent trading decisions. Algorithmic trading or computer-directed trading cut down transaction costs and permits investment managers to take control of their own trading processes. It is a method or style of trading and not a separate business. Algorithmic trading follows a defined set of instructions for placing the trade and to generate more profits at a speed that could impossible for the human trader.According to AMA Research, the market for Algorithmic Trading is expected to register a CAGR of 9.9% during the forecast period to 2026. This growth is primarily driven by Rise In Integration Of Financial Market, Emergence Of AI And Algorithms In Financial Services Sector and Rapidly Growing Demand For Market Surveillance.

Globally, a noticeable market trend is evident Portfolio Risk Solutions . The Systems Software sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Citadel (United States), Optiver (Netherlands), Tower Research Capital (United States), Two Sigma Investments (United States), Virtu Financial (United States), KCG (United States), DRW Trading (United States), Flow Traders (Netherlands), Hudson River Trading (United States) and Jump Trading (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

On Nov 7, 2018, Virtu Financial, Inc. announced to acquire Investment Technology Group, Inc. valued at USD 30.30 per ITG share. This significant acquisition is expected to offer its clients a complete suite of agency services, including transparent trading and workflow technology, analytics, and liquidity solutions that all leverage Virtuís global, scaled technology infrastructure.

Regulatory Insights:
Europe, through the ESMA, establishes the framework which governs the actions and good practices of market participants, be they companies, institutions, individuals, systems, procedures or financial instruments. Each of the 27 countries of the union, through its home regulatory Agency, is responsible for promoting implementation and compliance monitoring.

Market Drivers
  • Rise In Integration Of Financial Market
  • Emergence Of AI And Algorithms In Financial Services Sector
  • Rapidly Growing Demand For Market Surveillance

Market Trend
  • Portfolio Risk Solutions
  • Early Adopters In Apac
  • Technological Advancements


Opportunities
Emerging Demand From Economies
Challenges
Lack Of Awareness

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Algorithmic Trading Study Sheds Light on
— The Algorithmic Trading Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Algorithmic Trading industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Algorithmic Trading industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Component
  • Software (Cloud-based, On-premise, Hybrid)
  • Services (Managed/Outsourced, Professional)

By Trading
  • Forex
  • Stock Markets
  • Commodities
  • Bonds
  • Cryptocurrency

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rise In Integration Of Financial Market
      • 3.2.2. Emergence Of AI And Algorithms In Financial Services Sector
      • 3.2.3. Rapidly Growing Demand For Market Surveillance
    • 3.3. Market Challenges
      • 3.3.1. Lack Of Awareness
    • 3.4. Market Trends
      • 3.4.1. Portfolio Risk Solutions
      • 3.4.2. Early Adopters In Apac
      • 3.4.3. Technological Advancements
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Algorithmic Trading, by Component, Trading and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Algorithmic Trading (Value)
      • 5.2.1. Global Algorithmic Trading by: Component (Value)
        • 5.2.1.1. Software (Cloud-based, On-premise, Hybrid)
        • 5.2.1.2. Services (Managed/Outsourced, Professional)
      • 5.2.2. Global Algorithmic Trading Region
        • 5.2.2.1. South America
          • 5.2.2.1.1. Brazil
          • 5.2.2.1.2. Argentina
          • 5.2.2.1.3. Rest of South America
        • 5.2.2.2. Asia Pacific
          • 5.2.2.2.1. China
          • 5.2.2.2.2. Japan
          • 5.2.2.2.3. India
          • 5.2.2.2.4. South Korea
          • 5.2.2.2.5. Taiwan
          • 5.2.2.2.6. Australia
          • 5.2.2.2.7. Rest of Asia-Pacific
        • 5.2.2.3. Europe
          • 5.2.2.3.1. Germany
          • 5.2.2.3.2. France
          • 5.2.2.3.3. Italy
          • 5.2.2.3.4. United Kingdom
          • 5.2.2.3.5. Netherlands
          • 5.2.2.3.6. Rest of Europe
        • 5.2.2.4. MEA
          • 5.2.2.4.1. Middle East
          • 5.2.2.4.2. Africa
        • 5.2.2.5. North America
          • 5.2.2.5.1. United States
          • 5.2.2.5.2. Canada
          • 5.2.2.5.3. Mexico
  • 6. Algorithmic Trading: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Citadel (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Optiver (Netherlands)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Tower Research Capital (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Two Sigma Investments (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Virtu Financial (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. KCG (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. DRW Trading (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Flow Traders (Netherlands)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Hudson River Trading (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Jump Trading (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Algorithmic Trading Sale, by Component, Trading and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Algorithmic Trading (Value)
      • 7.2.1. Global Algorithmic Trading by: Component (Value)
        • 7.2.1.1. Software (Cloud-based, On-premise, Hybrid)
        • 7.2.1.2. Services (Managed/Outsourced, Professional)
      • 7.2.2. Global Algorithmic Trading Region
        • 7.2.2.1. South America
          • 7.2.2.1.1. Brazil
          • 7.2.2.1.2. Argentina
          • 7.2.2.1.3. Rest of South America
        • 7.2.2.2. Asia Pacific
          • 7.2.2.2.1. China
          • 7.2.2.2.2. Japan
          • 7.2.2.2.3. India
          • 7.2.2.2.4. South Korea
          • 7.2.2.2.5. Taiwan
          • 7.2.2.2.6. Australia
          • 7.2.2.2.7. Rest of Asia-Pacific
        • 7.2.2.3. Europe
          • 7.2.2.3.1. Germany
          • 7.2.2.3.2. France
          • 7.2.2.3.3. Italy
          • 7.2.2.3.4. United Kingdom
          • 7.2.2.3.5. Netherlands
          • 7.2.2.3.6. Rest of Europe
        • 7.2.2.4. MEA
          • 7.2.2.4.1. Middle East
          • 7.2.2.4.2. Africa
        • 7.2.2.5. North America
          • 7.2.2.5.1. United States
          • 7.2.2.5.2. Canada
          • 7.2.2.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Algorithmic Trading: by Component(USD Billion)
  • Table 2. Algorithmic Trading Software (Cloud-based, On-premise, Hybrid) , by Region USD Billion (2015-2020)
  • Table 3. Algorithmic Trading Services (Managed/Outsourced, Professional) , by Region USD Billion (2015-2020)
  • Table 4. South America Algorithmic Trading, by Country USD Billion (2015-2020)
  • Table 5. South America Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 6. South America Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 7. Brazil Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 8. Brazil Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 9. Argentina Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 10. Argentina Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 11. Rest of South America Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 12. Rest of South America Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 13. Asia Pacific Algorithmic Trading, by Country USD Billion (2015-2020)
  • Table 14. Asia Pacific Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 15. Asia Pacific Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 16. China Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 17. China Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 18. Japan Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 19. Japan Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 20. India Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 21. India Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 22. South Korea Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 23. South Korea Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 24. Taiwan Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 25. Taiwan Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 26. Australia Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 27. Australia Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 28. Rest of Asia-Pacific Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 29. Rest of Asia-Pacific Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 30. Europe Algorithmic Trading, by Country USD Billion (2015-2020)
  • Table 31. Europe Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 32. Europe Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 33. Germany Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 34. Germany Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 35. France Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 36. France Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 37. Italy Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 38. Italy Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 39. United Kingdom Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 40. United Kingdom Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 41. Netherlands Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 42. Netherlands Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 43. Rest of Europe Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 44. Rest of Europe Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 45. MEA Algorithmic Trading, by Country USD Billion (2015-2020)
  • Table 46. MEA Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 47. MEA Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 48. Middle East Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 49. Middle East Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 50. Africa Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 51. Africa Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 52. North America Algorithmic Trading, by Country USD Billion (2015-2020)
  • Table 53. North America Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 54. North America Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 55. United States Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 56. United States Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 57. Canada Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 58. Canada Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 59. Mexico Algorithmic Trading, by Component USD Billion (2015-2020)
  • Table 60. Mexico Algorithmic Trading, by Trading USD Billion (2015-2020)
  • Table 61. Company Basic Information, Sales Area and Its Competitors
  • Table 62. Company Basic Information, Sales Area and Its Competitors
  • Table 63. Company Basic Information, Sales Area and Its Competitors
  • Table 64. Company Basic Information, Sales Area and Its Competitors
  • Table 65. Company Basic Information, Sales Area and Its Competitors
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Algorithmic Trading: by Component(USD Billion)
  • Table 72. Algorithmic Trading Software (Cloud-based, On-premise, Hybrid) , by Region USD Billion (2021-2026)
  • Table 73. Algorithmic Trading Services (Managed/Outsourced, Professional) , by Region USD Billion (2021-2026)
  • Table 74. South America Algorithmic Trading, by Country USD Billion (2021-2026)
  • Table 75. South America Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 76. South America Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 77. Brazil Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 78. Brazil Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 79. Argentina Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 80. Argentina Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 81. Rest of South America Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 82. Rest of South America Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 83. Asia Pacific Algorithmic Trading, by Country USD Billion (2021-2026)
  • Table 84. Asia Pacific Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 85. Asia Pacific Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 86. China Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 87. China Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 88. Japan Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 89. Japan Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 90. India Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 91. India Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 92. South Korea Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 93. South Korea Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 94. Taiwan Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 95. Taiwan Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 96. Australia Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 97. Australia Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 98. Rest of Asia-Pacific Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 99. Rest of Asia-Pacific Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 100. Europe Algorithmic Trading, by Country USD Billion (2021-2026)
  • Table 101. Europe Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 102. Europe Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 103. Germany Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 104. Germany Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 105. France Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 106. France Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 107. Italy Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 108. Italy Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 109. United Kingdom Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 110. United Kingdom Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 111. Netherlands Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 112. Netherlands Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 113. Rest of Europe Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 114. Rest of Europe Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 115. MEA Algorithmic Trading, by Country USD Billion (2021-2026)
  • Table 116. MEA Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 117. MEA Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 118. Middle East Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 119. Middle East Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 120. Africa Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 121. Africa Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 122. North America Algorithmic Trading, by Country USD Billion (2021-2026)
  • Table 123. North America Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 124. North America Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 125. United States Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 126. United States Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 127. Canada Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 128. Canada Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 129. Mexico Algorithmic Trading, by Component USD Billion (2021-2026)
  • Table 130. Mexico Algorithmic Trading, by Trading USD Billion (2021-2026)
  • Table 131. Research Programs/Design for This Report
  • Table 132. Key Data Information from Secondary Sources
  • Table 133. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Algorithmic Trading: by Component USD Billion (2015-2020)
  • Figure 5. South America Algorithmic Trading Share (%), by Country
  • Figure 6. Asia Pacific Algorithmic Trading Share (%), by Country
  • Figure 7. Europe Algorithmic Trading Share (%), by Country
  • Figure 8. MEA Algorithmic Trading Share (%), by Country
  • Figure 9. North America Algorithmic Trading Share (%), by Country
  • Figure 10. Global Algorithmic Trading share by Players 2020 (%)
  • Figure 11. Global Algorithmic Trading share by Players (Top 3) 2020(%)
  • Figure 12. Global Algorithmic Trading share by Players (Top 5) 2020(%)
  • Figure 13. BCG Matrix for key Companies
  • Figure 14. Citadel (United States) Revenue, Net Income and Gross profit
  • Figure 15. Citadel (United States) Revenue: by Geography 2020
  • Figure 16. Optiver (Netherlands) Revenue, Net Income and Gross profit
  • Figure 17. Optiver (Netherlands) Revenue: by Geography 2020
  • Figure 18. Tower Research Capital (United States) Revenue, Net Income and Gross profit
  • Figure 19. Tower Research Capital (United States) Revenue: by Geography 2020
  • Figure 20. Two Sigma Investments (United States) Revenue, Net Income and Gross profit
  • Figure 21. Two Sigma Investments (United States) Revenue: by Geography 2020
  • Figure 22. Virtu Financial (United States) Revenue, Net Income and Gross profit
  • Figure 23. Virtu Financial (United States) Revenue: by Geography 2020
  • Figure 24. KCG (United States) Revenue, Net Income and Gross profit
  • Figure 25. KCG (United States) Revenue: by Geography 2020
  • Figure 26. DRW Trading (United States) Revenue, Net Income and Gross profit
  • Figure 27. DRW Trading (United States) Revenue: by Geography 2020
  • Figure 28. Flow Traders (Netherlands) Revenue, Net Income and Gross profit
  • Figure 29. Flow Traders (Netherlands) Revenue: by Geography 2020
  • Figure 30. Hudson River Trading (United States) Revenue, Net Income and Gross profit
  • Figure 31. Hudson River Trading (United States) Revenue: by Geography 2020
  • Figure 32. Jump Trading (United States) Revenue, Net Income and Gross profit
  • Figure 33. Jump Trading (United States) Revenue: by Geography 2020
  • Figure 34. Global Algorithmic Trading: by Component USD Billion (2021-2026)
  • Figure 35. South America Algorithmic Trading Share (%), by Country
  • Figure 36. Asia Pacific Algorithmic Trading Share (%), by Country
  • Figure 37. Europe Algorithmic Trading Share (%), by Country
  • Figure 38. MEA Algorithmic Trading Share (%), by Country
  • Figure 39. North America Algorithmic Trading Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Citadel (United States)
  • Optiver (Netherlands)
  • Tower Research Capital (United States)
  • Two Sigma Investments (United States)
  • Virtu Financial (United States)
  • KCG (United States)
  • DRW Trading (United States)
  • Flow Traders (Netherlands)
  • Hudson River Trading (United States)
  • Jump Trading (United States)
Additional players considered in the study are as follows:
RSJ Algorithmic Trading (Prague) , Spot Trading (India) , Sun Trading (United States) , Tradebot Systems (United States)
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Feb 2022 206 Pages 81 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Historical year: 2016-2020; Base year: 2020; Forecast period: 2021 to 2026
Companies that are profiled in Global Algorithmic Trading Market are Citadel (United States), Optiver (Netherlands), Tower Research Capital (United States), Two Sigma Investments (United States), Virtu Financial (United States), KCG (United States), DRW Trading (United States), Flow Traders (Netherlands), Hudson River Trading (United States) and Jump Trading (United States) etc.
Algorithmic trading or simply algo trading is the use of computer programs and software to execute trades based on predefined criteria and without any human intervention. It is the use of mathematical models to analyze each quote and trade in the stock market, identify liquidity opportunities, and turn the information into intelligent trading decisions. Algorithmic trading or computer-directed trading cut down transaction costs and permits investment managers to take control of their own trading processes. It is a method or style of trading and not a separate business. Algorithmic trading follows a defined set of instructions for placing the trade and to generate more profits at a speed that could impossible for the human trader.

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