Algorithmic Trading Market by Trading Type (FOREX, Stock Markets, ETF, Bonds, Cryptocurrencies), Component (Solutions and Services), Deployment Mode (Cloud and On-premises), Enterprise Size, and Region - Global Forecast to 2024

Abstract
Apex Market Research has published a new report titled ”Global Algorithmic Trading Market share, forecast data, In-Depth Analysis, and Forecast, 2020-2027”. According to the report, The global Algorithmic Trading market is estimated to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a CAGR of 11.1%. The report offers in-depth insights, revenue details, and other vital information regarding the global Algorithmic Trading market and the various trends, drivers, restraints, opportunities, and threats in the target market till 2027.

Attractive Opportunities in the Algorithmic Trading market

The report covers an in depth description, competitive scenario, wide product portfolio of key vendors and business strategy adopted by competitors along with their SWOT analysis, revenue, sales and Porter's Five Forces Analysis.
Global Algorithmic Trading market report offers in-depth insights, revenue details, and other vital information regarding the global Algorithmic Trading market, and the various trends, drivers, restraints, opportunities, and threats in the target market till year 2027. Hence, it covers the impact of these drivers and restraints on demand for this market during the forecast period.
It provides historical data along with future forecast as well as detailed analysis of market on a global, regional and country level. Important market data of this market is projected in the form of tables, graphics, and pictures. On a regional basis, the market is categorized into five regions that include North America, Europe, Asia Pacific, Latin America, and Middle & East Africa. It analyzes complete scenario of each and every region along with highest shareholder of Algorithmic Trading market. The major players operating into Algorithmic Trading Market include: Thomson Reuters (US)
63 moons (India)
Virtu Financial (US)
Software AG (Germany)
MetaQuotes Software (Cyprus)
Symphony Fintech (India)
InfoReach (US)
Argo SE (US)
Kuberre Systems (US)
Tata Consultancy Services (India)
QuantCore Capital Management (China)
iRageCapital (India)
Automated Trading SoftTech (India)
Tethys(US)
Trading Technologies (US)
uTrade (India)
Vela (US)
and AlgoTrader (Switzerland) Scope Of the Report
Report Parameters Details of Parameter
Market Size 2020-2027
Based Year 2019
Forecast Period Covered 2020-2027
Units for value Billion (USD)
Covered Segments Trading Types, Components, Solutions, Services, Deployment Modes, Enterprise Size, and Regions
Region Covered North America (the United States, Canada, and Mexico)
Europe (Germany, UK, France, Italy, and Russia, etc.)
Asia-Pacific (China, Japan, ASEAN, India, and Korea)
The Middle East and Africa (UAE, Egypt, South Africa, Saudi Arabia)
South America (Brazil, Chile, Peru, and Argentina)
This research report categorizes the Algorithmic Trading market to forecast revenues and analyze trends in each of the following submarkets:

Based on Trading Types, the Algorithmic trading market is divided into the following segments:

  • Foreign Exchange (FOREX)
  • Stock Markets
  • Exchange-Traded Fund (ETF)
  • Bonds
  • Cryptocurrencies
  • Others (commodities, assets, Credit Default Swaps, (CDS), Interest Rate Swaps (IRS), and collateral mortgage)

Based on Components, the market is divided into the following segments:

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

Based on Deployment modes, the Algorithmic trading market is divided into the following segments:

  • On-premises
  • Cloud

Based on enterprise size, the market is divided into the following segments:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises
By geography, this market has been segregated into five regions with revenue and growth rate of Algorithmic Trading from 2020 to 2027,
There are 13 chapters to put on view for Algorithmic Trading Market:
Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview Chapter 2: Market competition by Manufacturers Chapter 3: Production by Regions Chapter 4: Consumption by Regions Chapter 5: Production, By Types, Revenue and Market share by Types Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications Chapter 7: Complete profiling and analysis of Manufacturers Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers Chapter 10: Marketing Strategy Analysis, Distributors/Traders Chapter 11: Market Effect Factors Analysis Chapter 12: Market Forecast Chapter 13: Algorithmic Trading Research Findings and Conclusion, Appendix, methodology and data source Data type include capacity, production, market share, price, revenue, cost, gross, gross margin, growth rate, consumption, import, export have been determined using secondary sources and verified primary sources. Industry chain, manufacturing process, cost structure, marketing channel are also analyzed in this report. Industry Chain Analysis Raw Material and Suppliers Equipment and Suppliers Manufacturing Process Manufacturing Cost Structure Manufacturing Plants Distribution Analysis Available Customizations We can also provide customized report as per company's specific needs. We can also provide the customized separate regional or country-level reports, for the specific region as per client requirement.
Chapter 1 Industry Overview 1.1 Algorithmic Trading Market Overview 1.1.1 Algorithmic Trading Product Scope 1.1.2 Market Status and Outlook 1.2 Global Algorithmic Trading Market Size and Analysis by Regions (2015-2019) 1.2.1 North America Algorithmic Trading Market Status and Outlook 1.2.2 EU Algorithmic Trading Market Status and Outlook 1.2.3 Japan Algorithmic Trading Market Status and Outlook 1.2.4 China Algorithmic Trading Market Status and Outlook 1.2.5 India Algorithmic Trading Market Status and Outlook 1.2.6 Southeast Asia Algorithmic Trading Market Status and Outlook 1.3 Global Algorithmic Trading Market Segment Based on Trading Types, the Algorithmic trading market is divided into the following segments:
1.3.1 Introduction
1.3.1.1 Market Estimates And Forecast 2015-2027
1.3.1 Foreign Exchange (FOREX)
1.3.1.1 Market Estimates And Forecast By Country, 2015-2027
1.3.2 Stock Markets
1.3.2.1 Market Estimates And Forecast By Country, 2015-2027
1.3.3 Exchange-Traded Fund (ETF)
1.3.3.1 Market Estimates And Forecast By Country, 2015-2027
1.3.4 Bonds
1.3.4.1 Market Estimates And Forecast By Country, 2015-2027
1.3.5 Cryptocurrencies
1.3.5.1 Market Estimates And Forecast By Country, 2015-2027
1.3.6 Others (commodities, assets, Credit Default Swaps, (CDS), Interest Rate Swaps (IRS), and collateral mortgage)
1.3.6.1 Market Estimates And Forecast By Country, 2015-2027
1.4 Global Algorithmic Trading Market Segment Based on Components, the market is divided into the following segments:
1.4.1 Introduction
1.4.1.1 Market Estimates And Forecast 2015-2027
1.4.2 Solutions
1.4.2.1 Platforms
1.4.2.2 Software Tools
1.4.2.3 Market Estimates And Forecast By Country, 2015-2027
1.4.3 Services
1.4.3.1 Professional Services 
1.4.3.2 Managed Services
1.4.3.3 Market Estimates And Forecast By Country, 2015-2027
1.5 Global Algorithmic Trading Market Segment Based on Deployment modes, the Algorithmic trading market is divided into the following segments:
1.5.1 Introduction
1.5.1.1 Market Estimates And Forecast 2015-2027
1.5.1 On-premises
1.5.1.1 Market Estimates And Forecast By Country, 2015-2027
1.5.2 Cloud
1.5.2.1 Market Estimates And Forecast By Country, 2015-2027
1.6 Global Algorithmic Trading Market Segment Based on enterprise size, the market is divided into the following segments:
1.6.1 Introduction
1.6.1.1 Market Estimates And Forecast 2015-2027
1.6.1 Small and Medium-sized Enterprises (SMEs)
1.6.1.1 Market Estimates And Forecast By Country, 2015-2027
1.6.2 Large Enterprises
1.6.2.1 Market Estimates And Forecast By Country, 2015-2027
Chapter 2 Global Algorithmic Trading Competition Analysis by Players 2.1 Global Algorithmic Trading Market Size (Million USD) by Players (2015-2019) 2.2 Competitive Status and Trend 2.2.1 Market Concentration Rate 2.2.2 Product/Service Differences 2.2.3 New Entrants 2.2.4 The Technology Trends in Future Chapter 3 Company (Top Players) Profiles and Key Data 3.1 Thomson Reuters (US) 3.1.1 Company Profile 3.1.2 Main Business/Business Overview 3.1.3 Products, Services and Solutions 3.1.4 Thomson Reuters (US), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.1.5 Recent Developments 3.2 63 moons (India) 3.2.1 Company Profile 3.2.2 Main Business/Business Overview 3.2.3 Products, Services and Solutions 3.2.4 63 moons (India), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.2.5 Recent Developments 3.3 Virtu Financial (US) 3.3.1 Company Profile 3.3.2 Main Business/Business Overview 3.3.3 Products, Services and Solutions 3.3.4 Virtu Financial (US), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.3.5 Recent Developments 3.4 Software AG (Germany) 3.4.1 Company Profile 3.4.2 Main Business/Business Overview 3.4.3 Products, Services and Solutions 3.4.4 Software AG (Germany), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.4.5 Recent Developments 3.5 MetaQuotes Software (Cyprus) 3.5.1 Company Profile 3.5.2 Main Business/Business Overview 3.5.3 Products, Services and Solutions 3.5.4 MetaQuotes Software (Cyprus), Algorithmic Trading Revenue (Million USD)(2015-2019) 3.5.5 Recent Developments 3.6 Symphony Fintech (India) 3.6.1 Company Profile 3.6.2 Main Business/Business Overview 3.6.3 Products, Services and Solutions 3.6.4 Symphony Fintech (India), Algorithmic Trading Revenue (Million USD)(2015-2019) 3.6.5 Recent Developments 3.7 InfoReach (US) 3.7.1 Company Profile 3.7.2 Main Business/Business Overview 3.7.3 Products, Services and Solutions 3.7.4 InfoReach (US), Algorithmic Trading Revenue (Million USD)(2015-2019) 3.7.5 Recent Developments 3.8 Argo SE (US) 3.8.1 Company Profile 3.8.2 Main Business/Business Overview 3.8.3 Products, Services and Solutions 3.8.4 Argo SE (US), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.8.5 Recent Developments 3.9 Kuberre Systems (US) 3.9.1 Company Profile 3.9.2 Main Business/Business Overview 3.9.3 Products, Services and Solutions 3.9.4 Kuberre Systems (US), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.9.5 Recent Developments 3.10 Tata Consultancy Services (India) 3.10.1 Company Profile 3.10.2 Main Business/Business Overview 3.10.3 Products, Services and Solutions 3.10.4 Tata Consultancy Services (India), Algorithmic Trading Revenue (Million USD) (2015-2019) 3.10.5 Recent Developments Chapter 4 Global Algorithmic Trading Market Size Type (2015-2019) 4.1 Global Algorithmic Trading Market Size by Type (2015-2019) Chapter 5 Global Algorithmic Trading Market Size Application (2015-2019) 5.1 Global Algorithmic Trading Market Size by Application (2015-2019) 5.2 Potential Application of Algorithmic Trading in Future 5.3 Top Consumer / End Users of Algorithmic Trading Chapter 6 North America Algorithmic Trading Development Status and Outlook 6.1 North America Algorithmic Trading Market Size (2015-2019) 6.2 North America Algorithmic Trading Market Size by Application (2015-2019) Chapter 7 EU Algorithmic Trading Development Status and Outlook 7.1 EU Algorithmic Trading Market Size (2015-2019) 7.2 EU Algorithmic Trading Market Size by Application (2015-2019) Chapter 8 Japan Algorithmic Trading Development Status and Outlook 8.1 Japan Algorithmic Trading Market Size (2015-2019) 8.2 Japan Algorithmic Trading Market Size by Application (2015-2019) Chapter 9 China Algorithmic Trading Development Status and Outlook 9.1 China Algorithmic Trading Market Size and Forecast (2015-2019) 9.2 China Algorithmic Trading Market Size by Application (2015-2019) Chapter 10 India Algorithmic Trading Development Status and Outlook 10.1 India Algorithmic Trading Market Size and Forecast (2015-2019) 10.2 India Algorithmic Trading Market Size by Application (2015-2019) Chapter 11 Southeast Asia Algorithmic Trading Development Status and Outlook 11.1 Southeast Asia Algorithmic Trading Market Size and Forecast (2015-2019) 11.2 Southeast Asia Algorithmic Trading Market Size by Application (2015-2019) Chapter 12 Market Forecast by Regions and Application (2020-2027) 12.1 Global Algorithmic Trading Market Size (Million USD) by Regions (2020-2027) 12.1. North America Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.1.2 EU Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.1.3 China Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.1.4 Japan Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.1.5 Southeast Asia Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.1.6 India Algorithmic Trading Revenue and Growth Rate (2020-2027) 12.2 Global Algorithmic Trading Market Size by Application (2020-2027) Chapter 13 Algorithmic Trading Market Dynamics 13.1 Algorithmic Trading Market Opportunities 13.2 Algorithmic Trading Challenge and Risk 13.2.1 Competition from Opponents 13.2.2 Downside Risks of Economy 13.3 Algorithmic Trading Market Constraints and Threat 13.3.1 Threat from Substitute 13.3.2 Government Policy 13.3.3 Technology Risks 13.4 Algorithmic Trading Market Driving Force 13.4.1 Growing Demand from Emerging Markets 13.4.2 Potential Application Chapter 14 Market Effect Factors Analysis 14.1 Technology Progress/Risk 14.1.1 Substitutes 14.1.2 Technology Progress in Related Industry 14.2 Consumer Needs Trend/Customer Preference 14.3 External Environmental Change 14.3.1 Economic Fluctuations 14.3.2 Other Risk Factors Chapter 15 Research Finding /Conclusion Chapter 16 Methodology and Data Source 16.1 Methodology/Research Approach 16.1.1 Research Programs/Design 16.1.2 Market Size Estimation 16.1.3 Market Breakdown and Data Triangulation 16.2 Data Source 16.2.1 Secondary Sources 16.2.2 Primary Sources 16.3 Disclaimer 16.4 Author List
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