Global Algorithmic Trading Market report

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 2030

Algorithmic Trading Market by XX Submarkets | Forecast Years 2024-2030 | CAGR: 9.9%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Algorithmic Trading
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.

AttributesDetails
Study Period2018-2030
Base Year2023
UnitValue (USD Billion)
CAGR9.9%


Algorithmic Trading market is a fragmented market due to the presence of various players. The players are focusing on increasing their developing innovative and new services to improve quality. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launch, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Algorithmic Trading market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

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) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are RSJ Algorithmic Trading (Prague), Spot Trading (India), Sun Trading (United States) and Tradebot Systems (United States).

Segmentation Overview
AMA Research has segmented the market of Global Algorithmic Trading market by and Region.



On the basis of geography, the market of Algorithmic Trading has been segmented into 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). North America region held largest market share in the year 2023. Europe, on the other hand, stood as the second largest market due to the presence of key companies in the region and high technological advancement. If we see Market by Component, the sub-segment i.e. Software (Cloud-based, On-premise, Hybrid) will boost the Algorithmic Trading market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Trading , the sub-segment i.e. Forex will boost the Algorithmic Trading market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Portfolio Risk Solutions, Early Adopters In Apac and Technological Advancements

Market Growth Drivers:
Rise In Integration Of Financial Market, Emergence Of AI And Algorithms In Financial Services Sector and Rapidly Growing Demand For Market Surveillance

Challenges:
Lack Of Awareness

Restraints:
Increasing Incidence of Systemic Risk

Opportunities:
Emerging Demand From Economies

Market Leaders and their expansionary development strategies
In June 2021, Gedik Investment has expanded its partnership with trading technology provider Horizon Software to deploy its platform for equities algorithmic execution, through the re-affirmed relationship, Horizon Software will provide Gedik Investment with both TWAP and POV trading strategies, allowing the team to time trades efficiently according to changes in price.
In January 2024, BestEx Research Group LLC, a pioneer in high-performance algorithmic trading solutions, proudly announces the launch of IS Zero. This innovative algorithm marks a significant advancement in the landscape of algorithmic trading, offering a more effective alternative to the long-standing volume-weighted average price (VWAP) algorithm for minimizing implementation shortfall (IS).
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.

Key Target Audience
Algorithmic Trading Manufacturers, Algorithmic Trading Distributors/Traders/Wholesalers, Algorithmic Trading Subcomponent Manufacturers, Industry Association and Downstream Vendors

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

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) (2018-2023)
    • 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 (2023)
    • 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) (2025-2030)
    • 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 (2018-2023)
  • Table 3. Algorithmic Trading Services (Managed/Outsourced, Professional) , by Region USD Billion (2018-2023)
  • Table 4. South America Algorithmic Trading, by Country USD Billion (2018-2023)
  • Table 5. South America Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 6. South America Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 7. Brazil Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 8. Brazil Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 9. Argentina Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 10. Argentina Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 11. Rest of South America Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 12. Rest of South America Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 13. Asia Pacific Algorithmic Trading, by Country USD Billion (2018-2023)
  • Table 14. Asia Pacific Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 15. Asia Pacific Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 16. China Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 17. China Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 18. Japan Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 19. Japan Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 20. India Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 21. India Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 22. South Korea Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 23. South Korea Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 24. Taiwan Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 25. Taiwan Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 26. Australia Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 27. Australia Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 28. Rest of Asia-Pacific Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 29. Rest of Asia-Pacific Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 30. Europe Algorithmic Trading, by Country USD Billion (2018-2023)
  • Table 31. Europe Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 32. Europe Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 33. Germany Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 34. Germany Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 35. France Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 36. France Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 37. Italy Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 38. Italy Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 39. United Kingdom Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 40. United Kingdom Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 41. Netherlands Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 42. Netherlands Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 43. Rest of Europe Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 44. Rest of Europe Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 45. MEA Algorithmic Trading, by Country USD Billion (2018-2023)
  • Table 46. MEA Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 47. MEA Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 48. Middle East Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 49. Middle East Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 50. Africa Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 51. Africa Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 52. North America Algorithmic Trading, by Country USD Billion (2018-2023)
  • Table 53. North America Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 54. North America Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 55. United States Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 56. United States Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 57. Canada Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 58. Canada Algorithmic Trading, by Trading USD Billion (2018-2023)
  • Table 59. Mexico Algorithmic Trading, by Component USD Billion (2018-2023)
  • Table 60. Mexico Algorithmic Trading, by Trading USD Billion (2018-2023)
  • 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 (2025-2030)
  • Table 73. Algorithmic Trading Services (Managed/Outsourced, Professional) , by Region USD Billion (2025-2030)
  • Table 74. South America Algorithmic Trading, by Country USD Billion (2025-2030)
  • Table 75. South America Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 76. South America Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 77. Brazil Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 78. Brazil Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 79. Argentina Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 80. Argentina Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 81. Rest of South America Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 82. Rest of South America Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 83. Asia Pacific Algorithmic Trading, by Country USD Billion (2025-2030)
  • Table 84. Asia Pacific Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 85. Asia Pacific Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 86. China Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 87. China Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 88. Japan Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 89. Japan Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 90. India Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 91. India Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 92. South Korea Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 93. South Korea Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 94. Taiwan Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 95. Taiwan Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 96. Australia Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 97. Australia Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 98. Rest of Asia-Pacific Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 99. Rest of Asia-Pacific Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 100. Europe Algorithmic Trading, by Country USD Billion (2025-2030)
  • Table 101. Europe Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 102. Europe Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 103. Germany Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 104. Germany Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 105. France Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 106. France Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 107. Italy Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 108. Italy Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 109. United Kingdom Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 110. United Kingdom Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 111. Netherlands Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 112. Netherlands Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 113. Rest of Europe Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 114. Rest of Europe Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 115. MEA Algorithmic Trading, by Country USD Billion (2025-2030)
  • Table 116. MEA Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 117. MEA Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 118. Middle East Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 119. Middle East Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 120. Africa Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 121. Africa Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 122. North America Algorithmic Trading, by Country USD Billion (2025-2030)
  • Table 123. North America Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 124. North America Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 125. United States Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 126. United States Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 127. Canada Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 128. Canada Algorithmic Trading, by Trading USD Billion (2025-2030)
  • Table 129. Mexico Algorithmic Trading, by Component USD Billion (2025-2030)
  • Table 130. Mexico Algorithmic Trading, by Trading USD Billion (2025-2030)
  • 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 (2018-2023)
  • 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 2023 (%)
  • Figure 11. Global Algorithmic Trading share by Players (Top 3) 2023(%)
  • Figure 12. Global Algorithmic Trading share by Players (Top 5) 2023(%)
  • 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 2023
  • Figure 16. Optiver (Netherlands) Revenue, Net Income and Gross profit
  • Figure 17. Optiver (Netherlands) Revenue: by Geography 2023
  • Figure 18. Tower Research Capital (United States) Revenue, Net Income and Gross profit
  • Figure 19. Tower Research Capital (United States) Revenue: by Geography 2023
  • Figure 20. Two Sigma Investments (United States) Revenue, Net Income and Gross profit
  • Figure 21. Two Sigma Investments (United States) Revenue: by Geography 2023
  • Figure 22. Virtu Financial (United States) Revenue, Net Income and Gross profit
  • Figure 23. Virtu Financial (United States) Revenue: by Geography 2023
  • Figure 24. KCG (United States) Revenue, Net Income and Gross profit
  • Figure 25. KCG (United States) Revenue: by Geography 2023
  • Figure 26. DRW Trading (United States) Revenue, Net Income and Gross profit
  • Figure 27. DRW Trading (United States) Revenue: by Geography 2023
  • Figure 28. Flow Traders (Netherlands) Revenue, Net Income and Gross profit
  • Figure 29. Flow Traders (Netherlands) Revenue: by Geography 2023
  • Figure 30. Hudson River Trading (United States) Revenue, Net Income and Gross profit
  • Figure 31. Hudson River Trading (United States) Revenue: by Geography 2023
  • Figure 32. Jump Trading (United States) Revenue, Net Income and Gross profit
  • Figure 33. Jump Trading (United States) Revenue: by Geography 2023
  • Figure 34. Global Algorithmic Trading: by Component USD Billion (2025-2030)
  • 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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Key Highlights of Report


Mar 2024 206 Pages 81 Tables Base Year: 2023 Coverage: 15+ Companies; 18 Countries

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Global Algorithmic Trading Market report Quantitative research analysis
Global Algorithmic Trading Market report Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles 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.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Portfolio Risk Solutions " is seen as one of major influencing trends for Algorithmic Trading Market during projected period 2023-2030.
The Algorithmic Trading market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.
Analysts at AMA estimates Algorithmic Trading Market to reach USD20.12 Billion by 2030.

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