Global Automated Trading

Automated Trading Comprehensive Study by Type (Stocks, Options, Futures, Foreign Exchange Products, Other), Components (Software, Services), End Users (Personal, Enterprises), Organizations Size (Small and Medium Size Organization, Large Size Organization) Players and Region - Global Market Outlook to 2028

Automated Trading Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Automated Trading Market Scope?
Automated trading is a technique that is playing a huge role in the financial markets by using a program that executes pre-set rules for entering and exiting trades. Traders combine thorough technical analysis with setting parameters for their positions, such as orders to open, trailing stops and guaranteed stops, and others.

Influencing Trend:
Cumulative Amount of Listing Corporations Various Stock Exchange Across the Globe

Market Growth Drivers:
Increasing Popularity of Electronic Communication Networks and Increase Adoption of Cloud-Based Technology across the Various Industries in Developed Economies

Challenges:
Increasing Cyber Attacks and Lack of Data Privacy

Restraints:
Increasing Cyber Attacks and Lack of Data Privacy

Opportunities:
The Rise in investment Across the Trading by Individuals, along with the Rising Disposable Income of People

The Automated Trading market study is being classified by Type (Stocks, Options, Futures, Foreign Exchange Products and Other), by Application and major geographies with country level break-up.

The leading market players those are contributing high market share and generating huge revenue are exploring various market growth opportunities by expanding their footprint in new geographical regions, or by acquisitions, expansions, R&D investments, new service launches and many other. The market-leading players are discovering new growth areas through expansions and acquisitions across the globe to benefit from competitive advantage through combined collaborations. Analysts at AMA predicts that Players from United States will contribute to the maximum growth of Global Automated Trading market throughout the predicted period.

InstaForex (Cyprus), AlgoTrades (Canada), Ward Systems Group Inc. (United States), Yellow Tunnel (United States), Collective2 LLC (United States), Vela Trading Systems LLC (United States), MetaQuotes Software Corp. (Cyprus), Trading Technologies International, Inc. (United States), SAG Deutschland GmbH (Germany) and uTrade Solutions Pvt Ltd. (India) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Automated Trading Softtech Pvt. Ltd. (India), Kuberre Systems, Inc. (United States) and InfoReach, Inc. (United States).

Segmentation Analysis
Analyst at AMA have segmented the market study of Global Automated Trading market by Type, Application and Region.

On the basis of geography, the market of Automated 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).

Market Influencers and their Development Strategies
In Apr 2021, TradeSanta crypto trading platform announced the launch of the new offerings or futures trading on Binance with advanced features. Through this initiative, the company is enhancing its market competencies.
In March 2023, Trading Technologies International, Inc. (TT), a global capital markets technology platform provider, infrastructure, and data solutions provider, acquired London-based AxeTrading, a leading global provider of fixed-income trading solutions. This acquisition significantly expands TT's multi-asset capabilities by extending over-the-counter (OTC) interest rate swaps as well as full coverage of corporate, government, municipal, and emerging market debt, strengthening TT's leading position in fixed income. Derivatives and US Treasuries.


Key Target Audience
Venture Capitalists and Private Equity Firms, New Entrants/Investors, Analysts and Strategic Business Planners, Automated Trading Service Providers, Raw Material Suppliers, Government Regulatory and Research Organizations and End-Use Industries

Automated Trading Market Study: Important Years
AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Major Highlights of Market Study

Demand Determinants: Identifying top-notch application and business segments that seek high growth potentials in Automated Trading Market.

Key Strategic Developments: To target untapped regions more aggressively by focusing on product/service developments, innovation and R & D, new launches, Merger & acquisitions, JVs & partnerships.

Forces & Market Dynamics: Growth drivers, restraints & opportunities available in Automated Trading industry is examined with reference relevant market sectors and sub-sectors.

Customization available in this Study:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.

To compete effectively, companies also require quantitative estimates of the future growth and qualitative nature of the market. AMA Research features not just specific market sizing estimates, but also includes significant value-added commentary on Technological Trends and Innovations, Regulatory Policies, Market Maturity Indicators, Market Share Movements, New Entrants into the Market & Entry/Exit Barriers, Consumer Demographics, Supporting Company Financial and Cash Flow Planning, Open Up New Markets, To Seize Powerful Market Opportunities, Key Decision in Planning and to Further Expand Market Share, Identify Key Business Segments, Market Proposition & Gap Analysis.

Report Objectives / Segmentation Covered

By Type
  • Stocks
  • Options
  • Futures
  • Foreign Exchange Products
  • Other
By Components
  • Software
  • Services

By End Users
  • Personal
  • Enterprises

By Organizations Size
  • Small and Medium Size Organization
  • Large Size Organization

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. Increasing Popularity of Electronic Communication Networks
      • 3.2.2. Increase Adoption of Cloud-Based Technology across the Various Industries in Developed Economies
    • 3.3. Market Challenges
      • 3.3.1. Increasing Cyber Attacks and Lack of Data Privacy
    • 3.4. Market Trends
      • 3.4.1. Cumulative Amount of Listing Corporations Various Stock Exchange Across the Globe
  • 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 Automated Trading, by Type, Components, End Users, Organizations Size and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Automated Trading (Value)
      • 5.2.1. Global Automated Trading by: Type (Value)
        • 5.2.1.1. Stocks
        • 5.2.1.2. Options
        • 5.2.1.3. Futures
        • 5.2.1.4. Foreign Exchange Products
        • 5.2.1.5. Other
      • 5.2.2. Global Automated Trading by: Components (Value)
        • 5.2.2.1. Software
        • 5.2.2.2. Services
      • 5.2.3. Global Automated Trading by: End Users (Value)
        • 5.2.3.1. Personal
        • 5.2.3.2. Enterprises
      • 5.2.4. Global Automated Trading by: Organizations Size (Value)
        • 5.2.4.1. Small and Medium Size Organization
        • 5.2.4.2. Large Size Organization
      • 5.2.5. Global Automated Trading Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Automated Trading (Price)
      • 5.3.1. Global Automated Trading by: Type (Price)
  • 6. Automated 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 (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. InstaForex (Cyprus)
        • 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. AlgoTrades (Canada)
        • 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. Ward Systems Group Inc. (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. Yellow Tunnel (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. Collective2 LLC (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. Vela Trading Systems LLC (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. MetaQuotes Software Corp. (Cyprus)
        • 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. Trading Technologies International, Inc. (United States)
        • 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. SAG Deutschland GmbH (Germany)
        • 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. UTrade Solutions Pvt Ltd. (India)
        • 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 Automated Trading Sale, by Type, Components, End Users, Organizations Size and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Automated Trading (Value)
      • 7.2.1. Global Automated Trading by: Type (Value)
        • 7.2.1.1. Stocks
        • 7.2.1.2. Options
        • 7.2.1.3. Futures
        • 7.2.1.4. Foreign Exchange Products
        • 7.2.1.5. Other
      • 7.2.2. Global Automated Trading by: Components (Value)
        • 7.2.2.1. Software
        • 7.2.2.2. Services
      • 7.2.3. Global Automated Trading by: End Users (Value)
        • 7.2.3.1. Personal
        • 7.2.3.2. Enterprises
      • 7.2.4. Global Automated Trading by: Organizations Size (Value)
        • 7.2.4.1. Small and Medium Size Organization
        • 7.2.4.2. Large Size Organization
      • 7.2.5. Global Automated Trading Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Automated Trading (Price)
      • 7.3.1. Global Automated Trading by: Type (Price)
  • 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. Automated Trading: by Type(USD Million)
  • Table 2. Automated Trading Stocks , by Region USD Million (2017-2022)
  • Table 3. Automated Trading Options , by Region USD Million (2017-2022)
  • Table 4. Automated Trading Futures , by Region USD Million (2017-2022)
  • Table 5. Automated Trading Foreign Exchange Products , by Region USD Million (2017-2022)
  • Table 6. Automated Trading Other , by Region USD Million (2017-2022)
  • Table 7. Automated Trading: by Components(USD Million)
  • Table 8. Automated Trading Software , by Region USD Million (2017-2022)
  • Table 9. Automated Trading Services , by Region USD Million (2017-2022)
  • Table 10. Automated Trading: by End Users(USD Million)
  • Table 11. Automated Trading Personal , by Region USD Million (2017-2022)
  • Table 12. Automated Trading Enterprises , by Region USD Million (2017-2022)
  • Table 13. Automated Trading: by Organizations Size(USD Million)
  • Table 14. Automated Trading Small and Medium Size Organization , by Region USD Million (2017-2022)
  • Table 15. Automated Trading Large Size Organization , by Region USD Million (2017-2022)
  • Table 16. South America Automated Trading, by Country USD Million (2017-2022)
  • Table 17. South America Automated Trading, by Type USD Million (2017-2022)
  • Table 18. South America Automated Trading, by Components USD Million (2017-2022)
  • Table 19. South America Automated Trading, by End Users USD Million (2017-2022)
  • Table 20. South America Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 21. Brazil Automated Trading, by Type USD Million (2017-2022)
  • Table 22. Brazil Automated Trading, by Components USD Million (2017-2022)
  • Table 23. Brazil Automated Trading, by End Users USD Million (2017-2022)
  • Table 24. Brazil Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 25. Argentina Automated Trading, by Type USD Million (2017-2022)
  • Table 26. Argentina Automated Trading, by Components USD Million (2017-2022)
  • Table 27. Argentina Automated Trading, by End Users USD Million (2017-2022)
  • Table 28. Argentina Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 29. Rest of South America Automated Trading, by Type USD Million (2017-2022)
  • Table 30. Rest of South America Automated Trading, by Components USD Million (2017-2022)
  • Table 31. Rest of South America Automated Trading, by End Users USD Million (2017-2022)
  • Table 32. Rest of South America Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 33. Asia Pacific Automated Trading, by Country USD Million (2017-2022)
  • Table 34. Asia Pacific Automated Trading, by Type USD Million (2017-2022)
  • Table 35. Asia Pacific Automated Trading, by Components USD Million (2017-2022)
  • Table 36. Asia Pacific Automated Trading, by End Users USD Million (2017-2022)
  • Table 37. Asia Pacific Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 38. China Automated Trading, by Type USD Million (2017-2022)
  • Table 39. China Automated Trading, by Components USD Million (2017-2022)
  • Table 40. China Automated Trading, by End Users USD Million (2017-2022)
  • Table 41. China Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 42. Japan Automated Trading, by Type USD Million (2017-2022)
  • Table 43. Japan Automated Trading, by Components USD Million (2017-2022)
  • Table 44. Japan Automated Trading, by End Users USD Million (2017-2022)
  • Table 45. Japan Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 46. India Automated Trading, by Type USD Million (2017-2022)
  • Table 47. India Automated Trading, by Components USD Million (2017-2022)
  • Table 48. India Automated Trading, by End Users USD Million (2017-2022)
  • Table 49. India Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 50. South Korea Automated Trading, by Type USD Million (2017-2022)
  • Table 51. South Korea Automated Trading, by Components USD Million (2017-2022)
  • Table 52. South Korea Automated Trading, by End Users USD Million (2017-2022)
  • Table 53. South Korea Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 54. Taiwan Automated Trading, by Type USD Million (2017-2022)
  • Table 55. Taiwan Automated Trading, by Components USD Million (2017-2022)
  • Table 56. Taiwan Automated Trading, by End Users USD Million (2017-2022)
  • Table 57. Taiwan Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 58. Australia Automated Trading, by Type USD Million (2017-2022)
  • Table 59. Australia Automated Trading, by Components USD Million (2017-2022)
  • Table 60. Australia Automated Trading, by End Users USD Million (2017-2022)
  • Table 61. Australia Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 62. Rest of Asia-Pacific Automated Trading, by Type USD Million (2017-2022)
  • Table 63. Rest of Asia-Pacific Automated Trading, by Components USD Million (2017-2022)
  • Table 64. Rest of Asia-Pacific Automated Trading, by End Users USD Million (2017-2022)
  • Table 65. Rest of Asia-Pacific Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 66. Europe Automated Trading, by Country USD Million (2017-2022)
  • Table 67. Europe Automated Trading, by Type USD Million (2017-2022)
  • Table 68. Europe Automated Trading, by Components USD Million (2017-2022)
  • Table 69. Europe Automated Trading, by End Users USD Million (2017-2022)
  • Table 70. Europe Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 71. Germany Automated Trading, by Type USD Million (2017-2022)
  • Table 72. Germany Automated Trading, by Components USD Million (2017-2022)
  • Table 73. Germany Automated Trading, by End Users USD Million (2017-2022)
  • Table 74. Germany Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 75. France Automated Trading, by Type USD Million (2017-2022)
  • Table 76. France Automated Trading, by Components USD Million (2017-2022)
  • Table 77. France Automated Trading, by End Users USD Million (2017-2022)
  • Table 78. France Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 79. Italy Automated Trading, by Type USD Million (2017-2022)
  • Table 80. Italy Automated Trading, by Components USD Million (2017-2022)
  • Table 81. Italy Automated Trading, by End Users USD Million (2017-2022)
  • Table 82. Italy Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 83. United Kingdom Automated Trading, by Type USD Million (2017-2022)
  • Table 84. United Kingdom Automated Trading, by Components USD Million (2017-2022)
  • Table 85. United Kingdom Automated Trading, by End Users USD Million (2017-2022)
  • Table 86. United Kingdom Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 87. Netherlands Automated Trading, by Type USD Million (2017-2022)
  • Table 88. Netherlands Automated Trading, by Components USD Million (2017-2022)
  • Table 89. Netherlands Automated Trading, by End Users USD Million (2017-2022)
  • Table 90. Netherlands Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 91. Rest of Europe Automated Trading, by Type USD Million (2017-2022)
  • Table 92. Rest of Europe Automated Trading, by Components USD Million (2017-2022)
  • Table 93. Rest of Europe Automated Trading, by End Users USD Million (2017-2022)
  • Table 94. Rest of Europe Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 95. MEA Automated Trading, by Country USD Million (2017-2022)
  • Table 96. MEA Automated Trading, by Type USD Million (2017-2022)
  • Table 97. MEA Automated Trading, by Components USD Million (2017-2022)
  • Table 98. MEA Automated Trading, by End Users USD Million (2017-2022)
  • Table 99. MEA Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 100. Middle East Automated Trading, by Type USD Million (2017-2022)
  • Table 101. Middle East Automated Trading, by Components USD Million (2017-2022)
  • Table 102. Middle East Automated Trading, by End Users USD Million (2017-2022)
  • Table 103. Middle East Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 104. Africa Automated Trading, by Type USD Million (2017-2022)
  • Table 105. Africa Automated Trading, by Components USD Million (2017-2022)
  • Table 106. Africa Automated Trading, by End Users USD Million (2017-2022)
  • Table 107. Africa Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 108. North America Automated Trading, by Country USD Million (2017-2022)
  • Table 109. North America Automated Trading, by Type USD Million (2017-2022)
  • Table 110. North America Automated Trading, by Components USD Million (2017-2022)
  • Table 111. North America Automated Trading, by End Users USD Million (2017-2022)
  • Table 112. North America Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 113. United States Automated Trading, by Type USD Million (2017-2022)
  • Table 114. United States Automated Trading, by Components USD Million (2017-2022)
  • Table 115. United States Automated Trading, by End Users USD Million (2017-2022)
  • Table 116. United States Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 117. Canada Automated Trading, by Type USD Million (2017-2022)
  • Table 118. Canada Automated Trading, by Components USD Million (2017-2022)
  • Table 119. Canada Automated Trading, by End Users USD Million (2017-2022)
  • Table 120. Canada Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 121. Mexico Automated Trading, by Type USD Million (2017-2022)
  • Table 122. Mexico Automated Trading, by Components USD Million (2017-2022)
  • Table 123. Mexico Automated Trading, by End Users USD Million (2017-2022)
  • Table 124. Mexico Automated Trading, by Organizations Size USD Million (2017-2022)
  • Table 125. Automated Trading: by Type(USD/Units)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Automated Trading: by Type(USD Million)
  • Table 137. Automated Trading Stocks , by Region USD Million (2023-2028)
  • Table 138. Automated Trading Options , by Region USD Million (2023-2028)
  • Table 139. Automated Trading Futures , by Region USD Million (2023-2028)
  • Table 140. Automated Trading Foreign Exchange Products , by Region USD Million (2023-2028)
  • Table 141. Automated Trading Other , by Region USD Million (2023-2028)
  • Table 142. Automated Trading: by Components(USD Million)
  • Table 143. Automated Trading Software , by Region USD Million (2023-2028)
  • Table 144. Automated Trading Services , by Region USD Million (2023-2028)
  • Table 145. Automated Trading: by End Users(USD Million)
  • Table 146. Automated Trading Personal , by Region USD Million (2023-2028)
  • Table 147. Automated Trading Enterprises , by Region USD Million (2023-2028)
  • Table 148. Automated Trading: by Organizations Size(USD Million)
  • Table 149. Automated Trading Small and Medium Size Organization , by Region USD Million (2023-2028)
  • Table 150. Automated Trading Large Size Organization , by Region USD Million (2023-2028)
  • Table 151. South America Automated Trading, by Country USD Million (2023-2028)
  • Table 152. South America Automated Trading, by Type USD Million (2023-2028)
  • Table 153. South America Automated Trading, by Components USD Million (2023-2028)
  • Table 154. South America Automated Trading, by End Users USD Million (2023-2028)
  • Table 155. South America Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 156. Brazil Automated Trading, by Type USD Million (2023-2028)
  • Table 157. Brazil Automated Trading, by Components USD Million (2023-2028)
  • Table 158. Brazil Automated Trading, by End Users USD Million (2023-2028)
  • Table 159. Brazil Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 160. Argentina Automated Trading, by Type USD Million (2023-2028)
  • Table 161. Argentina Automated Trading, by Components USD Million (2023-2028)
  • Table 162. Argentina Automated Trading, by End Users USD Million (2023-2028)
  • Table 163. Argentina Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 164. Rest of South America Automated Trading, by Type USD Million (2023-2028)
  • Table 165. Rest of South America Automated Trading, by Components USD Million (2023-2028)
  • Table 166. Rest of South America Automated Trading, by End Users USD Million (2023-2028)
  • Table 167. Rest of South America Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 168. Asia Pacific Automated Trading, by Country USD Million (2023-2028)
  • Table 169. Asia Pacific Automated Trading, by Type USD Million (2023-2028)
  • Table 170. Asia Pacific Automated Trading, by Components USD Million (2023-2028)
  • Table 171. Asia Pacific Automated Trading, by End Users USD Million (2023-2028)
  • Table 172. Asia Pacific Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 173. China Automated Trading, by Type USD Million (2023-2028)
  • Table 174. China Automated Trading, by Components USD Million (2023-2028)
  • Table 175. China Automated Trading, by End Users USD Million (2023-2028)
  • Table 176. China Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 177. Japan Automated Trading, by Type USD Million (2023-2028)
  • Table 178. Japan Automated Trading, by Components USD Million (2023-2028)
  • Table 179. Japan Automated Trading, by End Users USD Million (2023-2028)
  • Table 180. Japan Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 181. India Automated Trading, by Type USD Million (2023-2028)
  • Table 182. India Automated Trading, by Components USD Million (2023-2028)
  • Table 183. India Automated Trading, by End Users USD Million (2023-2028)
  • Table 184. India Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 185. South Korea Automated Trading, by Type USD Million (2023-2028)
  • Table 186. South Korea Automated Trading, by Components USD Million (2023-2028)
  • Table 187. South Korea Automated Trading, by End Users USD Million (2023-2028)
  • Table 188. South Korea Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 189. Taiwan Automated Trading, by Type USD Million (2023-2028)
  • Table 190. Taiwan Automated Trading, by Components USD Million (2023-2028)
  • Table 191. Taiwan Automated Trading, by End Users USD Million (2023-2028)
  • Table 192. Taiwan Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 193. Australia Automated Trading, by Type USD Million (2023-2028)
  • Table 194. Australia Automated Trading, by Components USD Million (2023-2028)
  • Table 195. Australia Automated Trading, by End Users USD Million (2023-2028)
  • Table 196. Australia Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 197. Rest of Asia-Pacific Automated Trading, by Type USD Million (2023-2028)
  • Table 198. Rest of Asia-Pacific Automated Trading, by Components USD Million (2023-2028)
  • Table 199. Rest of Asia-Pacific Automated Trading, by End Users USD Million (2023-2028)
  • Table 200. Rest of Asia-Pacific Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 201. Europe Automated Trading, by Country USD Million (2023-2028)
  • Table 202. Europe Automated Trading, by Type USD Million (2023-2028)
  • Table 203. Europe Automated Trading, by Components USD Million (2023-2028)
  • Table 204. Europe Automated Trading, by End Users USD Million (2023-2028)
  • Table 205. Europe Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 206. Germany Automated Trading, by Type USD Million (2023-2028)
  • Table 207. Germany Automated Trading, by Components USD Million (2023-2028)
  • Table 208. Germany Automated Trading, by End Users USD Million (2023-2028)
  • Table 209. Germany Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 210. France Automated Trading, by Type USD Million (2023-2028)
  • Table 211. France Automated Trading, by Components USD Million (2023-2028)
  • Table 212. France Automated Trading, by End Users USD Million (2023-2028)
  • Table 213. France Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 214. Italy Automated Trading, by Type USD Million (2023-2028)
  • Table 215. Italy Automated Trading, by Components USD Million (2023-2028)
  • Table 216. Italy Automated Trading, by End Users USD Million (2023-2028)
  • Table 217. Italy Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 218. United Kingdom Automated Trading, by Type USD Million (2023-2028)
  • Table 219. United Kingdom Automated Trading, by Components USD Million (2023-2028)
  • Table 220. United Kingdom Automated Trading, by End Users USD Million (2023-2028)
  • Table 221. United Kingdom Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 222. Netherlands Automated Trading, by Type USD Million (2023-2028)
  • Table 223. Netherlands Automated Trading, by Components USD Million (2023-2028)
  • Table 224. Netherlands Automated Trading, by End Users USD Million (2023-2028)
  • Table 225. Netherlands Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 226. Rest of Europe Automated Trading, by Type USD Million (2023-2028)
  • Table 227. Rest of Europe Automated Trading, by Components USD Million (2023-2028)
  • Table 228. Rest of Europe Automated Trading, by End Users USD Million (2023-2028)
  • Table 229. Rest of Europe Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 230. MEA Automated Trading, by Country USD Million (2023-2028)
  • Table 231. MEA Automated Trading, by Type USD Million (2023-2028)
  • Table 232. MEA Automated Trading, by Components USD Million (2023-2028)
  • Table 233. MEA Automated Trading, by End Users USD Million (2023-2028)
  • Table 234. MEA Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 235. Middle East Automated Trading, by Type USD Million (2023-2028)
  • Table 236. Middle East Automated Trading, by Components USD Million (2023-2028)
  • Table 237. Middle East Automated Trading, by End Users USD Million (2023-2028)
  • Table 238. Middle East Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 239. Africa Automated Trading, by Type USD Million (2023-2028)
  • Table 240. Africa Automated Trading, by Components USD Million (2023-2028)
  • Table 241. Africa Automated Trading, by End Users USD Million (2023-2028)
  • Table 242. Africa Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 243. North America Automated Trading, by Country USD Million (2023-2028)
  • Table 244. North America Automated Trading, by Type USD Million (2023-2028)
  • Table 245. North America Automated Trading, by Components USD Million (2023-2028)
  • Table 246. North America Automated Trading, by End Users USD Million (2023-2028)
  • Table 247. North America Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 248. United States Automated Trading, by Type USD Million (2023-2028)
  • Table 249. United States Automated Trading, by Components USD Million (2023-2028)
  • Table 250. United States Automated Trading, by End Users USD Million (2023-2028)
  • Table 251. United States Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 252. Canada Automated Trading, by Type USD Million (2023-2028)
  • Table 253. Canada Automated Trading, by Components USD Million (2023-2028)
  • Table 254. Canada Automated Trading, by End Users USD Million (2023-2028)
  • Table 255. Canada Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 256. Mexico Automated Trading, by Type USD Million (2023-2028)
  • Table 257. Mexico Automated Trading, by Components USD Million (2023-2028)
  • Table 258. Mexico Automated Trading, by End Users USD Million (2023-2028)
  • Table 259. Mexico Automated Trading, by Organizations Size USD Million (2023-2028)
  • Table 260. Automated Trading: by Type(USD/Units)
  • Table 261. Research Programs/Design for This Report
  • Table 262. Key Data Information from Secondary Sources
  • Table 263. 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 Automated Trading: by Type USD Million (2017-2022)
  • Figure 5. Global Automated Trading: by Components USD Million (2017-2022)
  • Figure 6. Global Automated Trading: by End Users USD Million (2017-2022)
  • Figure 7. Global Automated Trading: by Organizations Size USD Million (2017-2022)
  • Figure 8. South America Automated Trading Share (%), by Country
  • Figure 9. Asia Pacific Automated Trading Share (%), by Country
  • Figure 10. Europe Automated Trading Share (%), by Country
  • Figure 11. MEA Automated Trading Share (%), by Country
  • Figure 12. North America Automated Trading Share (%), by Country
  • Figure 13. Global Automated Trading: by Type USD/Units (2017-2022)
  • Figure 14. Global Automated Trading share by Players 2022 (%)
  • Figure 15. Global Automated Trading share by Players (Top 3) 2022(%)
  • Figure 16. Global Automated Trading share by Players (Top 5) 2022(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. InstaForex (Cyprus) Revenue, Net Income and Gross profit
  • Figure 19. InstaForex (Cyprus) Revenue: by Geography 2022
  • Figure 20. AlgoTrades (Canada) Revenue, Net Income and Gross profit
  • Figure 21. AlgoTrades (Canada) Revenue: by Geography 2022
  • Figure 22. Ward Systems Group Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Ward Systems Group Inc. (United States) Revenue: by Geography 2022
  • Figure 24. Yellow Tunnel (United States) Revenue, Net Income and Gross profit
  • Figure 25. Yellow Tunnel (United States) Revenue: by Geography 2022
  • Figure 26. Collective2 LLC (United States) Revenue, Net Income and Gross profit
  • Figure 27. Collective2 LLC (United States) Revenue: by Geography 2022
  • Figure 28. Vela Trading Systems LLC (United States) Revenue, Net Income and Gross profit
  • Figure 29. Vela Trading Systems LLC (United States) Revenue: by Geography 2022
  • Figure 30. MetaQuotes Software Corp. (Cyprus) Revenue, Net Income and Gross profit
  • Figure 31. MetaQuotes Software Corp. (Cyprus) Revenue: by Geography 2022
  • Figure 32. Trading Technologies International, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 33. Trading Technologies International, Inc. (United States) Revenue: by Geography 2022
  • Figure 34. SAG Deutschland GmbH (Germany) Revenue, Net Income and Gross profit
  • Figure 35. SAG Deutschland GmbH (Germany) Revenue: by Geography 2022
  • Figure 36. UTrade Solutions Pvt Ltd. (India) Revenue, Net Income and Gross profit
  • Figure 37. UTrade Solutions Pvt Ltd. (India) Revenue: by Geography 2022
  • Figure 38. Global Automated Trading: by Type USD Million (2023-2028)
  • Figure 39. Global Automated Trading: by Components USD Million (2023-2028)
  • Figure 40. Global Automated Trading: by End Users USD Million (2023-2028)
  • Figure 41. Global Automated Trading: by Organizations Size USD Million (2023-2028)
  • Figure 42. South America Automated Trading Share (%), by Country
  • Figure 43. Asia Pacific Automated Trading Share (%), by Country
  • Figure 44. Europe Automated Trading Share (%), by Country
  • Figure 45. MEA Automated Trading Share (%), by Country
  • Figure 46. North America Automated Trading Share (%), by Country
  • Figure 47. Global Automated Trading: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • InstaForex (Cyprus)
  • AlgoTrades (Canada)
  • Ward Systems Group Inc. (United States)
  • Yellow Tunnel (United States)
  • Collective2 LLC (United States)
  • Vela Trading Systems LLC (United States)
  • MetaQuotes Software Corp. (Cyprus)
  • Trading Technologies International, Inc. (United States)
  • SAG Deutschland GmbH (Germany)
  • uTrade Solutions Pvt Ltd. (India)
Additional players considered in the study are as follows:
Automated Trading Softtech Pvt. Ltd. (India) , Kuberre Systems, Inc. (United States) , InfoReach, Inc. (United States)
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Key Highlights of Report


May 2023 235 Pages 60 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Automated Trading Quantitative research analysis
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Frequently Asked Questions (FAQ):

The prominent players of Global Automated Trading market are InstaForex (Cyprus), AlgoTrades (Canada), Ward Systems Group Inc. (United States), Yellow Tunnel (United States), Collective2 LLC (United States), Vela Trading Systems LLC (United States), MetaQuotes Software Corp. (Cyprus), Trading Technologies International, Inc. (United States), SAG Deutschland GmbH (Germany) and uTrade Solutions Pvt Ltd. (India).
In this highly competitive & fast evolving Automated Trading industry, the top strategic priorities would remain consistent like innovation, R&D, and M&A.

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