Global Algorithmic Trading Market 2020 by Company, Regions, Type and Application, Forecast to 2025

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Summary

Market Overview

The global Algorithmic Trading market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 3.5% in the forecast period of 2020 to 2025 and will expected to reach USD 12580 million by 2025, from USD 10960 million in 2019.

The Algorithmic Trading market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

Market segmentation

Algorithmic Trading market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

By Type, Algorithmic Trading market has been segmented into On-Premise, Cloud-Based, etc.

By Application, Algorithmic Trading has been segmented into Investment Banks, Funds, Personal Investors, Others, etc.

Regions and Countries Level Analysis

Regional analysis is another highly comprehensive part of the research and analysis study of the global Algorithmic Trading market presented in the report. This section sheds light on the sales growth of different regional and country-level Algorithmic Trading markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Algorithmic Trading market.

The report offers in-depth assessment of the growth and other aspects of the Algorithmic Trading market in important countries (regions), including United States, Canada, Mexico, Germany, France, United Kingdom, Russia, Italy, China, Japan, Korea, India, Southeast Asia, Australia, Brazil and Saudi Arabia, etc. It also throws light on the progress of key regional Algorithmic Trading markets such as North America, Europe, Asia-Pacific, South America and Middle East & Africa.

Competitive Landscape and Algorithmic Trading Market Share Analysis

Algorithmic Trading competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, Algorithmic Trading sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the Algorithmic Trading sales, revenue and market share for each player covered in this report.

The major players covered in Algorithmic Trading are: Virtu Financial, RSJ Algorithmic Trading, Tower Research Capital, DRW Trading, Jump Trading, Optiver, Sun Trading, Hudson River Trading, Flow Traders, Spot Trading, Tradebot Systems, Teza Technologies, IMC, Quantlab Financial, etc. Among other players domestic and global, Algorithmic Trading market share data is available for global, North America, Europe, Asia-Pacific, Middle East & Africa and South America separately. Our analysts understand competitive strengths and provide competitive analysis for each competitor separately.

Table of Contents

1 Algorithmic Trading Market Overview

1.1 Product Overview and Scope of Algorithmic Trading

1.2 Classification of Algorithmic Trading by Type

1.2.1 Global Algorithmic Trading Revenue by Type: 2015 VS 2019 VS 2025

1.2.2 Global Algorithmic Trading Revenue Market Share by Type in 2019

1.2.3 On-Premise

1.2.4 Cloud-Based

1.3 Global Algorithmic Trading Market by Application

1.3.1 Overview: Global Algorithmic Trading Revenue by Application: 2015 VS 2019 VS 2025

1.3.2 Investment Banks

1.3.3 Funds

1.3.4 Personal Investors

1.3.5 Others

1.4 Global Algorithmic Trading Market by Regions

1.4.1 Global Algorithmic Trading Market Size by Regions: 2015 VS 2019 VS 2025

1.4.2 Global Market Size of Algorithmic Trading (2015-2025)

1.4.3 North America (USA, Canada and Mexico) Algorithmic Trading Status and Prospect (2015-2025)

1.4.4 Europe (Germany, France, UK, Russia and Italy) Algorithmic Trading Status and Prospect (2015-2025)

1.4.5 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Algorithmic Trading Status and Prospect (2015-2025)

1.4.6 South America (Brazil, Argentina, Colombia) Algorithmic Trading Status and Prospect (2015-2025)

1.4.7 Middle East & Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Algorithmic Trading Status and Prospect (2015-2025)

2 Company Profiles

2.1 Virtu Financial

2.1.1 Virtu Financial Details

2.1.2 Virtu Financial Major Business and Total Revenue (Financial Highlights) Analysis

2.1.3 Virtu Financial SWOT Analysis

2.1.4 Virtu Financial Product and Services

2.1.5 Virtu Financial Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.2 RSJ Algorithmic Trading

2.2.1 RSJ Algorithmic Trading Details

2.2.2 RSJ Algorithmic Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.2.3 RSJ Algorithmic Trading SWOT Analysis

2.2.4 RSJ Algorithmic Trading Product and Services

2.2.5 RSJ Algorithmic Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.3 Tower Research Capital

2.3.1 Tower Research Capital Details

2.3.2 Tower Research Capital Major Business and Total Revenue (Financial Highlights) Analysis

2.3.3 Tower Research Capital SWOT Analysis

2.3.4 Tower Research Capital Product and Services

2.3.5 Tower Research Capital Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.4 DRW Trading

2.4.1 DRW Trading Details

2.4.2 DRW Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.4.3 DRW Trading SWOT Analysis

2.4.4 DRW Trading Product and Services

2.4.5 DRW Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.5 Jump Trading

2.5.1 Jump Trading Details

2.5.2 Jump Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.5.3 Jump Trading SWOT Analysis

2.5.4 Jump Trading Product and Services

2.5.5 Jump Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.6 Optiver

2.6.1 Optiver Details

2.6.2 Optiver Major Business and Total Revenue (Financial Highlights) Analysis

2.6.3 Optiver SWOT Analysis

2.6.4 Optiver Product and Services

2.6.5 Optiver Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.7 Sun Trading

2.7.1 Sun Trading Details

2.7.2 Sun Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.7.3 Sun Trading SWOT Analysis

2.7.4 Sun Trading Product and Services

2.7.5 Sun Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.8 Hudson River Trading

2.8.1 Hudson River Trading Details

2.8.2 Hudson River Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.8.3 Hudson River Trading SWOT Analysis

2.8.4 Hudson River Trading Product and Services

2.8.5 Hudson River Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.9 Flow Traders

2.9.1 Flow Traders Details

2.9.2 Flow Traders Major Business and Total Revenue (Financial Highlights) Analysis

2.9.3 Flow Traders SWOT Analysis

2.9.4 Flow Traders Product and Services

2.9.5 Flow Traders Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.10 Spot Trading

2.10.1 Spot Trading Details

2.10.2 Spot Trading Major Business and Total Revenue (Financial Highlights) Analysis

2.10.3 Spot Trading SWOT Analysis

2.10.4 Spot Trading Product and Services

2.10.5 Spot Trading Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.11 Tradebot Systems

2.11.1 Tradebot Systems Details

2.11.2 Tradebot Systems Major Business and Total Revenue (Financial Highlights) Analysis

2.11.3 Tradebot Systems SWOT Analysis

2.11.4 Tradebot Systems Product and Services

2.11.5 Tradebot Systems Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.12 Teza Technologies

2.12.1 Teza Technologies Details

2.12.2 Teza Technologies Major Business and Total Revenue (Financial Highlights) Analysis

2.12.3 Teza Technologies SWOT Analysis

2.12.4 Teza Technologies Product and Services

2.12.5 Teza Technologies Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.13 IMC

2.13.1 IMC Details

2.13.2 IMC Major Business and Total Revenue (Financial Highlights) Analysis

2.13.3 IMC SWOT Analysis

2.13.4 IMC Product and Services

2.13.5 IMC Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

2.14 Quantlab Financial

2.14.1 Quantlab Financial Details

2.14.2 Quantlab Financial Major Business and Total Revenue (Financial Highlights) Analysis

2.14.3 Quantlab Financial SWOT Analysis

2.14.4 Quantlab Financial Product and Services

2.14.5 Quantlab Financial Algorithmic Trading Revenue, Gross Margin and Market Share (2018-2019)

3 Market Competition, by Players

3.1 Global Algorithmic Trading Revenue and Share by Players (2015-2020)

3.2 Market Concentration Rate

3.2.1 Top 5 Algorithmic Trading Players Market Share

3.2.2 Top 10 Algorithmic Trading Players Market Share

3.3 Market Competition Trend

4 Market Size by Regions

4.1 Global Algorithmic Trading Revenue and Market Share by Regions

4.2 North America Algorithmic Trading Revenue and Growth Rate (2015-2020)

4.3 Europe Algorithmic Trading Revenue and Growth Rate (2015-2020)

4.4 Asia-Pacific Algorithmic Trading Revenue and Growth Rate (2015-2020)

4.5 South America Algorithmic Trading Revenue and Growth Rate (2015-2020)

4.6 Middle East & Africa Algorithmic Trading Revenue and Growth Rate (2015-2020)

5 North America Algorithmic Trading Revenue by Countries

5.1 North America Algorithmic Trading Revenue by Countries (2015-2020)

5.2 USA Algorithmic Trading Revenue and Growth Rate (2015-2020)

5.3 Canada Algorithmic Trading Revenue and Growth Rate (2015-2020)

5.4 Mexico Algorithmic Trading Revenue and Growth Rate (2015-2020)

6 Europe Algorithmic Trading Revenue by Countries

6.1 Europe Algorithmic Trading Revenue by Countries (2015-2020)

6.2 Germany Algorithmic Trading Revenue and Growth Rate (2015-2020)

6.3 UK Algorithmic Trading Revenue and Growth Rate (2015-2020)

6.4 France Algorithmic Trading Revenue and Growth Rate (2015-2020)

6.5 Russia Algorithmic Trading Revenue and Growth Rate (2015-2020)

6.6 Italy Algorithmic Trading Revenue and Growth Rate (2015-2020)

7 Asia-Pacific Algorithmic Trading Revenue by Countries

7.1 Asia-Pacific Algorithmic Trading Revenue by Countries (2015-2020)

7.2 China Algorithmic Trading Revenue and Growth Rate (2015-2020)

7.3 Japan Algorithmic Trading Revenue and Growth Rate (2015-2020)

7.4 Korea Algorithmic Trading Revenue and Growth Rate (2015-2020)

7.5 India Algorithmic Trading Revenue and Growth Rate (2015-2020)

7.6 Southeast Asia Algorithmic Trading Revenue and Growth Rate (2015-2020)

8 South America Algorithmic Trading Revenue by Countries

8.1 South America Algorithmic Trading Revenue by Countries (2015-2020)

8.2 Brazil Algorithmic Trading Revenue and Growth Rate (2015-2020)

8.3 Argentina Algorithmic Trading Revenue and Growth Rate (2015-2020)

9 Middle East & Africa Revenue Algorithmic Trading by Countries

9.1 Middle East & Africa Algorithmic Trading Revenue by Countries (2015-2020)

9.2 Saudi Arabia Algorithmic Trading Revenue and Growth Rate (2015-2020)

9.3 UAE Algorithmic Trading Revenue and Growth Rate (2015-2020)

9.4 Egypt Algorithmic Trading Revenue and Growth Rate (2015-2020)

9.5 South Africa Algorithmic Trading Revenue and Growth Rate (2015-2020)

10 Market Size Segment by Type

10.1 Global Algorithmic Trading Revenue and Market Share by Type (2015-2020)

10.2 Global Algorithmic Trading Market Forecast by Type (2019-2024)

10.3 On-Premise Revenue Growth Rate (2015-2025)

10.4 Cloud-Based Revenue Growth Rate (2015-2025)

11 Global Algorithmic Trading Market Segment by Application

11.1 Global Algorithmic Trading Revenue Market Share by Application (2015-2020)

11.2 Algorithmic Trading Market Forecast by Application (2019-2024)

11.3 Investment Banks Revenue Growth (2015-2020)

11.4 Funds Revenue Growth (2015-2020)

11.5 Personal Investors Revenue Growth (2015-2020)

11.6 Others Revenue Growth (2015-2020)

12 Global Algorithmic Trading Market Size Forecast (2021-2025)

12.1 Global Algorithmic Trading Market Size Forecast (2021-2025)

12.2 Global Algorithmic Trading Market Forecast by Regions (2021-2025)

12.3 North America Algorithmic Trading Revenue Market Forecast (2021-2025)

12.4 Europe Algorithmic Trading Revenue Market Forecast (2021-2025)

12.5 Asia-Pacific Algorithmic Trading Revenue Market Forecast (2021-2025)

12.6 South America Algorithmic Trading Revenue Market Forecast (2021-2025)

12.7 Middle East & Africa Algorithmic Trading Revenue Market Forecast (2021-2025)

13 Research Findings and Conclusion

14 Appendix

14.1 Methodology

14.2 Data Source

14.3 Disclaimer

14.4 About US


List of Tables

Table 1. Global Algorithmic Trading Revenue (USD Million) by Type: 2015 VS 2019 VS 2025

Table 2. Breakdown of Algorithmic Trading by Company Type (Tier 1, Tier 2 and Tier 3)

Table 3. Global Algorithmic Trading Revenue (USD Million) by Application: 2015 VS 2019 VS 2025

Table 4. Global Market Algorithmic Trading Revenue (Million USD) Comparison by Regions 2015-2025

Table 5. Virtu Financial Corporate Information, Location and Competitors

Table 6. Virtu Financial Algorithmic Trading Major Business

Table 7. Virtu Financial Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 8. Virtu Financial SWOT Analysis

Table 9. Virtu Financial Algorithmic Trading Product and Solutions

Table 10. Virtu Financial Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 11. RSJ Algorithmic Trading Corporate Information, Location and Competitors

Table 12. RSJ Algorithmic Trading Algorithmic Trading Major Business

Table 13. RSJ Algorithmic Trading Algorithmic Trading Total Revenue (USD Million) (2018-2019)

Table 14. RSJ Algorithmic Trading SWOT Analysis

Table 15. RSJ Algorithmic Trading Algorithmic Trading Product and Solutions

Table 16. RSJ Algorithmic Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 17. Tower Research Capital Corporate Information, Location and Competitors

Table 18. Tower Research Capital Algorithmic Trading Major Business

Table 19. Tower Research Capital Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 20. Tower Research Capital SWOT Analysis

Table 21. Tower Research Capital Algorithmic Trading Product and Solutions

Table 22. Tower Research Capital Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 23. DRW Trading Corporate Information, Location and Competitors

Table 24. DRW Trading Algorithmic Trading Major Business

Table 25. DRW Trading Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 26. DRW Trading SWOT Analysis

Table 27. DRW Trading Algorithmic Trading Product and Solutions

Table 28. DRW Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 29. Jump Trading Corporate Information, Location and Competitors

Table 30. Jump Trading Algorithmic Trading Major Business

Table 31. Jump Trading Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 32. Jump Trading SWOT Analysis

Table 33. Jump Trading Algorithmic Trading Product and Solutions

Table 34. Jump Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 35. Optiver Corporate Information, Location and Competitors

Table 36. Optiver Algorithmic Trading Major Business

Table 37. Optiver Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 38. Optiver SWOT Analysis

Table 39. Optiver Algorithmic Trading Product and Solutions

Table 40. Optiver Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 41. Sun Trading Corporate Information, Location and Competitors

Table 42. Sun Trading Algorithmic Trading Major Business

Table 43. Sun Trading Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 44. Sun Trading SWOT Analysis

Table 45. Sun Trading Algorithmic Trading Product and Solutions

Table 46. Sun Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 47. Hudson River Trading Corporate Information, Location and Competitors

Table 48. Hudson River Trading Algorithmic Trading Major Business

Table 49. Hudson River Trading Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 50. Hudson River Trading SWOT Analysis

Table 51. Hudson River Trading Algorithmic Trading Product and Solutions

Table 52. Hudson River Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 53. Flow Traders Corporate Information, Location and Competitors

Table 54. Flow Traders Algorithmic Trading Major Business

Table 55. Flow Traders Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 56. Flow Traders SWOT Analysis

Table 57. Flow Traders Algorithmic Trading Product and Solutions

Table 58. Flow Traders Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 59. Spot Trading Corporate Information, Location and Competitors

Table 60. Spot Trading Algorithmic Trading Major Business

Table 61. Spot Trading Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 62. Spot Trading SWOT Analysis

Table 63. Spot Trading Algorithmic Trading Product and Solutions

Table 64. Spot Trading Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 65. Tradebot Systems Corporate Information, Location and Competitors

Table 66. Tradebot Systems Algorithmic Trading Major Business

Table 67. Tradebot Systems Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 68. Tradebot Systems SWOT Analysis

Table 69. Tradebot Systems Algorithmic Trading Product and Solutions

Table 70. Tradebot Systems Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 71. Teza Technologies Corporate Information, Location and Competitors

Table 72. Teza Technologies Algorithmic Trading Major Business

Table 73. Teza Technologies Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 74. Teza Technologies SWOT Analysis

Table 75. Teza Technologies Algorithmic Trading Product and Solutions

Table 76. Teza Technologies Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 77. IMC Corporate Information, Location and Competitors

Table 78. IMC Algorithmic Trading Major Business

Table 79. IMC Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 80. IMC SWOT Analysis

Table 81. IMC Algorithmic Trading Product and Solutions

Table 82. IMC Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 83. Quantlab Financial Corporate Information, Location and Competitors

Table 84. Quantlab Financial Algorithmic Trading Major Business

Table 85. Quantlab Financial Algorithmic Trading Total Revenue (USD Million) (2017-2018)

Table 86. Quantlab Financial SWOT Analysis

Table 87. Quantlab Financial Algorithmic Trading Product and Solutions

Table 88. Quantlab Financial Algorithmic Trading Revenue (USD Million), Gross Margin and Market Share (2018-2019)

Table 89. Global Algorithmic Trading Revenue (Million USD) by Players (2015-2020)

Table 90. Global Algorithmic Trading Revenue Share by Players (2015-2020)

Table 91. Global Algorithmic Trading Revenue (Million USD) by Regions (2015-2020)

Table 92. Global Algorithmic Trading Revenue Market Share by Regions (2015-2020)

Table 93. North America Algorithmic Trading Revenue by Countries (2015-2020)

Table 94. North America Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Table 95. Europe Algorithmic Trading Revenue (Million USD) by Countries (2015-2020)

Table 96. Asia-Pacific Algorithmic Trading Revenue (Million USD) by Countries (2015-2020)

Table 97. South America Algorithmic Trading Revenue by Countries (2015-2020)

Table 98. South America Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Table 99. Middle East and Africa Algorithmic Trading Revenue (Million USD) by Countries (2015-2020)

Table 100. Middle East and Africa Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Table 101. Global Algorithmic Trading Revenue (Million USD) by Type (2015-2020)

Table 102. Global Algorithmic Trading Revenue Share by Type (2015-2020)

Table 103. Global Algorithmic Trading Revenue Forecast by Type (2021-2025)

Table 104. Global Algorithmic Trading Revenue by Application (2015-2020)

Table 105. Global Algorithmic Trading Revenue Share by Application (2015-2020)

Table 106. Global Algorithmic Trading Revenue Forecast by Application (2021-2025)

Table 107. Global Algorithmic Trading Revenue (Million USD) Forecast by Regions (2021-2025)

List of Figures

Figure 1. Algorithmic Trading Picture

Figure 2. Global Algorithmic Trading Revenue Market Share by Type in 2019

Figure 3. On-Premise Picture

Figure 4. Cloud-Based Picture

Figure 5. Algorithmic Trading Revenue Market Share by Application in 2019

Figure 6. Investment Banks Picture

Figure 7. Funds Picture

Figure 8. Personal Investors Picture

Figure 9. Others Picture

Figure 10. Global Algorithmic Trading Revenue (USD Million) and Growth Rate (2015-2025)

Figure 11. North America Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 12. Europe Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 13. Asia-Pacific Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 14. South America Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 15. Middle East and Africa Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 16. Global Algorithmic Trading Revenue (Million USD) and Growth Rate (2015-2025)

Figure 17. Global Algorithmic Trading Revenue Share by Players in 2019

Figure 18. Global Top 5 Players Algorithmic Trading Revenue Market Share in 2019

Figure 19. Global Top 10 Players Algorithmic Trading Revenue Market Share in 2019

Figure 20. Key Players Market Share Trend

Figure 21. Global Algorithmic Trading Revenue (Million USD) and Growth Rate (%) (2015-2020)

Figure 22. Global Algorithmic Trading Revenue Market Share by Regions (2015-2020)

Figure 23. Global Algorithmic Trading Revenue Market Share by Regions in 2018

Figure 24. North America Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 25. Europe Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 26. Asia-Pacific Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 27. South America Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 28. Middle East and Africa Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 29. North America Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Figure 30. North America Algorithmic Trading Revenue Market Share by Countries in 2019

Figure 31. USA Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 32. Canada Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 33. Mexico Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 34. Europe Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Figure 35. Europe Algorithmic Trading Revenue Market Share by Countries in 2019

Figure 36. Germany Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 37. UK Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 38. France Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 39. Russia Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 40. Italy Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 41. Asia-Pacific Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Figure 42. Asia-Pacific Algorithmic Trading Revenue Market Share by Countries in 2019

Figure 43. China Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 44. Japan Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 45. Korea Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 46. India Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 47. Southeast Asia Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 48. South America Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Figure 49. South America Algorithmic Trading Revenue Market Share by Countries in 2019

Figure 50. Brazil Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 51. Argentina Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 52. Middle East and Africa Algorithmic Trading Revenue Market Share by Countries (2015-2020)

Figure 53. Middle East and Africa Algorithmic Trading Revenue Market Share by Countries in 2019

Figure 54. Saudi Arabia Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 55. UAE Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 56. Egypt Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 57. South Africa Algorithmic Trading Revenue and Growth Rate (2015-2020)

Figure 58. Global Algorithmic Trading Revenue Share by Type (2015-2020)

Figure 59. Global Algorithmic Trading Revenue Share by Type in 2019

Figure 60. Global Algorithmic Trading Market Share Forecast by Type (2021-2025)

Figure 61. Global On-Premise Revenue Growth Rate (2015-2020)

Figure 62. Global Cloud-Based Revenue Growth Rate (2015-2020)

Figure 63. Global Algorithmic Trading Revenue Share by Application (2015-2020)

Figure 64. Global Algorithmic Trading Revenue Share by Application in 2019

Figure 65. Global Algorithmic Trading Market Share Forecast by Application (2021-2025)

Figure 66. Global Investment Banks Revenue Growth Rate (2015-2020)

Figure 67. Global Funds Revenue Growth Rate (2015-2020)

Figure 68. Global Personal Investors Revenue Growth Rate (2015-2020)

Figure 69. Global Others Revenue Growth Rate (2015-2020)

Figure 70. Global Algorithmic Trading Revenue (Million USD) and Growth Rate Forecast (2021-2025)

Figure 71. Global Algorithmic Trading Revenue (Million USD) Forecast by Regions (2021-2025)

Figure 72. Global Algorithmic Trading Revenue Market Share Forecast by Regions (2021-2025)

Figure 73. North America Algorithmic Trading Revenue Market Forecast (2021-2025)

Figure 74. Europe Algorithmic Trading Revenue Market Forecast (2021-2025)

Figure 75. Asia-Pacific Algorithmic Trading Revenue Market Forecast (2021-2025)

Figure 76. South America Algorithmic Trading Revenue Market Forecast (2021-2025)

Figure 77. Middle East and Africa Algorithmic Trading Revenue Market Forecast (2021-2025)

Figure 78. Sales Channel: Direct Channel vs Indirect Channel

Research Methodology

Market research is a method of gathering, assessing and deducing data & information about a particular market. Market research is very crucial in these days. The techniques analyze about how a product/service can be offered to the market to its end-customers, observe the impact of that product/service based on the past customer experiences, and cater their needs and demands. Owing to the successful business ventures, accurate, relevant and thorough information is the base for all the organizations because market research report/study offers specific market related data & information about the industry growth prospects, perspective of the existing customers, and the overall market scenario prevailed in past, ongoing present and developing future. It allows the stakeholders and investors to determine the probability of a business before committing substantial resources to the venture. Market research helps in solving the marketing issues challenges that a business will most likely face.

Market research is valuable because of the following reasons:

  • Market research helps businesses strengthen a company’s position
  • Market research helps in minimizing the investment risks associated with the businesses in any industry vertical
  • Market research helps in identifying the potential threats and opportunities associated with the business industry
  • Market research aids in spotting the emerging trends and facilitates strategic planning in order to stay ahead in the competition

Our research report features both the aspects; qualitative and quantitative. Qualitative part provides insights about the market driving forces, potential opportunities, customer’s demands and requirement which in turn help the companies to come up with new strategies in order to survive in the long run competition. The quantitative segment offers the most credible information related to the industry. Based on the data gathering, we use to derive the market size and estimate their future growth prospects on the basis of global, region and country.

Our market research process involves with the four specific stages.

  • Data Collection
  • Data Synthesis
  • Market Deduction & Formulation
  • Data Screening & Validation

Data Collection: This stage of the market research process involves with the gathering and collecting of the market/industry related data from the sources. There are basically two types of research methods:

  • Primary Research: By conducting primary research, it involves with the two types of data gathering; exploratory and specific. Exploratory data is open-ended and helps us to define a particular problem involving surveys, and pilot study to the specific consumer group, knowing their needs and wants catering to the industry related product/service offering. Explanatory data gathering follows with the bit of unstructured way. Our analyst group leads the study by focusing on the key crowd, in this manner picking up bits of knowledge from them. In light of the points of view of the clients, this data is used to plan advertise techniques. In addition, showcase overviews causes us to comprehend the current scenario of the business. Specific data gathering on the hand, involves with the more structured and formal way. The primary research usually includes in telephonic conversations, E-mail collaborations and up close and personal meetings/interviews with the raw material suppliers, industrial wholesalers, and independent consultants/specialists. The interviews that we conduct offers important information on showcase size and industry development patterns. Our company likewise conducts interviews with the different business specialists so as to increase generally bits of knowledge of the business/showcase.
  • Secondary Research: The secondary research incorporates with the data gathering from the non-profit associations and organizations, for example, World bank, WHO, investor relations and their presentations, statistical databases, yearly(annual reports) reports, national government records, factual databases, websites, articles, white papers, press releases, blogs and others. From the annual report, we deduce an organization's income/revenue generation to comprehend the key product segment related to the market. We examine the organization sites and implement product mapping strategy which is significant for determining the segment revenue. In the product mapping technique, we choose and categorize the products offered by the companies catering to the industry specific market, derive the segment revenue for each of the organizations to get the market estimation. We also gather data & Information based on the supply and demand side of the value chain involved with the domain specific market. The supply side denotes the distributors, wholesalers, suppliers and the demand side denotes the end-consumers/customers of the value chain. The supply side of the market is analyzed by examining the product growth across industry in each of the region followed by its pricing analysis. The demand side is analyzed by the evaluating the penetration level and adoption rates of the product by referring to the historical/past data, examine the present usage and forecasting the future trends. 
  • Purchased Database: Our purchased data provides insights about the key market players/companies along with their financial analysis. Additionally, our data base also includes market related information. 
    • We also have the agreements with various reputed data providers, consultants and third party vendors who provide information which are not limited to:
      • Export & Import Data
      • Business Information related to trade and its statistics
      • Penetration level of a particular product/service based on geography mainly focusing on the unmet prerequisites of the customers.
  • In-house Library: Apart from these third-party sources, we have our in-house library of quantitative and qualitative data & information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, internal audit reports, historic databases, archives and journal publications. Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those particular cases, we utilize our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopts a robust research technique in order to deduce the market size and its estimates:
  • Examining demographic along with psychographic segmentation for market evaluation
  • Analyzing the macro and micro-economic indicators for each demography
  • Evaluating the current industry trends popular in the market.

Data Synthesis: This stage includes the evaluation and assessment of all the data acquired from the primary and secondary research. It likewise includes in evaluating the information for any disparity watched while information gathering identified with the market. The data & information is gathered with consideration to the heterogeneity of sources. Scientific and statistical methods are implemented for synthesizing dissimilar information sets and provide the relevant data which is fundamental for formulating strategies. Our organization has broad involvement with information amalgamation where the information goes through different stages:

  • Information Screening: Information screening is the way toward examining information/data gathered from the sources for errors/mistakes and amending it before data integration process. The screening includes in looking at raw information, identifying and distinguishing mistakes and managing missing information. The reason for the information screening is to ensure information is effectively entered or not. Our organization utilizes objective and precise information screening grades through repetitive quality checks.
  • Data Integration: The data integration method involves with the incorporation of numerous information streams. The data streams is important so as to deliver investigate examines that give overall market scenario to the investors. These information streams originate from different research contemplates and our in house database. After the screening of the information, our analysts conduct efficient integration of the data streams, optimizing connections between integrated surveys and syndicated data sources. There are two research approaches that we follow so as to coordinate our information; top down methodology and bottom up methodology. 
    • Top-down analysis generally refers to using broad factors as a basis for decision making. The top-down approach helps in identifying the overall market scenario along with the external and internal factors effecting the market growth.
    • The bottom-up approach takes a completely different approach. Generally, the bottom-up approach focuses its analysis on micro attributes and specific characteristics of the domain specific market.

Market Formulation & Deduction: The last stage includes assigning the data & information in a suitable way in order to derive market size. Analyst reviews and domain based opinions based on holistic approach of market estimation combined with industry investigation additionally features a crucial role in this stage.

This stage includes with the finalization of the market size and numbers that we have gathered from primary and secondary research. With the data & information addition, we ensure that there is no gap in the market information. Market trend analysis is finished by our analysts by utilizing data extrapolation procedures, which give the most ideal figures to the market.

Data Validation: Validation is the most crucial step in the process. Validation & re-validation through scientifically designed technique and process that helps us finalize data-points to be used for final calculations. This stage also involves with the data triangulation process. Data triangulation generally implicates the cross validation and matching the data which has been collected from primary and secondary research methods.

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