Global Automated Trading Market by Type of Traders (Institutional Traders, Short-Term Traders, Retail Traders, Long-Term Traders), by Component (Solution, Services), by Deployment Mode (On-Premise, Cloud), by Type (Cryptocurrencies, Bonds, Foreign Exchange [FOREX], Stock) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast To 2028
Up Market Research published a new report titled “Automated Trading Market research report which is segmented by Type of Traders (Institutional Traders, Short-Term Traders, Retail Traders, Long-Term Traders), by Component (Solution, Services), by Deployment Mode (On-Premise, Cloud), by Type (Cryptocurrencies, Bonds, Foreign Exchange [FOREX], Stock), By Players/Companies Argo SE, Software AG, Algo Trader AG, Consultancy Services, Refinitiv Ltd., Virtu Financial, Tethys, Symphony Fintech Solutions Pvt Ltd., 63MOONS, MetaQuotes Software Corp”. As per the study the market is expected to grow at a CAGR of XX% in the forecast period.
Report Scope
| Report Attributes | Report Details |
| Report Title | Automated Trading Market Research Report |
| By Type of Traders | Institutional Traders, Short-Term Traders, Retail Traders, Long-Term Traders |
| By Component | Solution, Services |
| By Deployment Mode | On-Premise, Cloud |
| By Type | Cryptocurrencies, Bonds, Foreign Exchange [FOREX], Stock |
| By Companies | Argo SE, Software AG, Algo Trader AG, Consultancy Services, Refinitiv Ltd., Virtu Financial, Tethys, Symphony Fintech Solutions Pvt Ltd., 63MOONS, MetaQuotes Software Corp |
| Regions Covered | North America, Europe, APAC, Latin America, MEA |
| Base Year | 2020 |
| Historical Year | 2018 to 2019 (Data from 2010 can be provided as per availability) |
| Forecast Year | 2028 |
| Number of Pages | 204 |
| Number of Tables & Figures | 143 |
| Customization Available | Yes, the report can be customized as per your need. |
The report covers comprehensive data on emerging trends, market drivers, growth opportunities, and restraints that can change the market dynamics of the industry. It provides an in-depth analysis of the market segments which include products, applications, and competitor analysis.
Global Automated Trading Market Report Segments:
The market is segmented by Type of Traders (Institutional Traders, Short-Term Traders, Retail Traders, Long-Term Traders), by Component (Solution, Services), by Deployment Mode (On-Premise, Cloud), by Type (Cryptocurrencies, Bonds, Foreign Exchange [FOREX], Stock).
Automated Trading Market research report delivers a close watch on leading competitors with strategic analysis, micro and macro market trend and scenarios, pricing analysis and a holistic overview of the market situations in the forecast period. It is a professional and a detailed report focusing on primary and secondary drivers, market share, leading segments and geographical analysis. Further, key players, major collaborations, merger & acquisitions along with trending innovation and business policies are reviewed in the report.
Key Benefits for Industry Participants & Stakeholders:
- Industry drivers, restraints, and opportunities covered in the study
- Neutral perspective on the market performance
- Recent industry trends and developments
- Competitive landscape & strategies of key players
- Potential & niche segments and regions exhibiting promising growth covered
- Historical, current, and projected market size, in terms of value
- In-depth analysis of the Automated Trading Market
Overview of the regional outlook of the Automated Trading Market:
Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa (MEA). North America region is further bifurcated into countries such as U.S., and Canada. The Europe region is further categorized into U.K., France, Germany, Italy, Spain, Russia, and Rest of Europe. Asia Pacific is further segmented into China, Japan, South Korea, India, Australia, South East Asia, and Rest of Asia Pacific. Latin America region is further segmented into Brazil, Mexico, and Rest of Latin America, and the MEA region is further divided into GCC, Turkey, South Africa, and Rest of MEA.
Highlights of The Automated Trading Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of Automated Trading Market.
- Historical data and forecast.
- Estimations for the forecast period 2028.
- Developments and trends in the market.
1. Institutional Traders
2. Short-Term Traders
3. Retail Traders
4. Long-Term Traders
7. By Component:1. Solution
2. Services
8. By Deployment Mode:1. On-Premise
2. Cloud
9. By Type:1. Cryptocurrencies
2. Bonds
3. Foreign Exchange [FOREX]
4. Stock
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Automated Trading Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2028.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
Reasons to Purchase the Automated Trading Market Report:
- The report includes a plethora of information such as market dynamics scenario and opportunities during the forecast period
- Segments and sub-segments include quantitative, qualitative, value (USD Million,) and volume (Units Million) data.
- Regional, sub-regional, and country level data includes the demand and supply forces along with their influence on the market.
- The competitive landscape comprises share of key players, new developments, and strategies in the last three years.
- Comprehensive companies offering products, relevant financial information, recent developments, SWOT analysis, and strategies by these players.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automated Trading Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automated Trading Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automated Trading Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automated Trading Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automated Trading Market Size & Forecast, 2018-2028
4.5.1 Automated Trading Market Size and Y-o-Y Growth
4.5.2 Automated Trading Market Absolute $ Opportunity
Chapter 5 Global Automated Trading Market Analysis and Forecast by Type of Traders
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type of Traders
5.1.2 Basis Point Share (BPS) Analysis by Type of Traders
5.1.3 Absolute $ Opportunity Assessment by Type of Traders
5.2 Automated Trading Market Size Forecast by Type of Traders
5.2.1 Institutional Traders
5.2.2 Short-Term Traders
5.2.3 Retail Traders
5.2.4 Long-Term Traders
5.3 Market Attractiveness Analysis by Type of Traders
Chapter 6 Global Automated Trading Market Analysis and Forecast by Component
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Component
6.1.2 Basis Point Share (BPS) Analysis by Component
6.1.3 Absolute $ Opportunity Assessment by Component
6.2 Automated Trading Market Size Forecast by Component
6.2.1 Solution
6.2.2 Services
6.3 Market Attractiveness Analysis by Component
Chapter 7 Global Automated Trading Market Analysis and Forecast by Deployment Mode
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Deployment Mode
7.1.2 Basis Point Share (BPS) Analysis by Deployment Mode
7.1.3 Absolute $ Opportunity Assessment by Deployment Mode
7.2 Automated Trading Market Size Forecast by Deployment Mode
7.2.1 On-Premise
7.2.2 Cloud
7.3 Market Attractiveness Analysis by Deployment Mode
Chapter 8 Global Automated Trading Market Analysis and Forecast by Type
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities by Type
8.1.2 Basis Point Share (BPS) Analysis by Type
8.1.3 Absolute $ Opportunity Assessment by Type
8.2 Automated Trading Market Size Forecast by Type
8.2.1 Cryptocurrencies
8.2.2 Bonds
8.2.3 Foreign Exchange [FOREX]
8.2.4 Stock
8.3 Market Attractiveness Analysis by Type
Chapter 9 Global Automated Trading Market Analysis and Forecast by Region
9.1 Introduction
9.1.1 Key Market Trends & Growth Opportunities by Region
9.1.2 Basis Point Share (BPS) Analysis by Region
9.1.3 Absolute $ Opportunity Assessment by Region
9.2 Automated Trading Market Size Forecast by Region
9.2.1 North America
9.2.2 Europe
9.2.3 Asia Pacific
9.2.4 Latin America
9.2.5 Middle East & Africa (MEA)
9.3 Market Attractiveness Analysis by Region
Chapter 10 Coronavirus Disease (COVID-19) Impact
10.1 Introduction
10.2 Current & Future Impact Analysis
10.3 Economic Impact Analysis
10.4 Government Policies
10.5 Investment Scenario
Chapter 11 North America Automated Trading Analysis and Forecast
11.1 Introduction
11.2 North America Automated Trading Market Size Forecast by Country
11.2.1 U.S.
11.2.2 Canada
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 North America Automated Trading Market Size Forecast by Type of Traders
11.6.1 Institutional Traders
11.6.2 Short-Term Traders
11.6.3 Retail Traders
11.6.4 Long-Term Traders
11.7 Basis Point Share (BPS) Analysis by Type of Traders
11.8 Absolute $ Opportunity Assessment by Type of Traders
11.9 Market Attractiveness Analysis by Type of Traders
11.10 North America Automated Trading Market Size Forecast by Component
11.10.1 Solution
11.10.2 Services
11.11 Basis Point Share (BPS) Analysis by Component
11.12 Absolute $ Opportunity Assessment by Component
11.13 Market Attractiveness Analysis by Component
11.14 North America Automated Trading Market Size Forecast by Deployment Mode
11.14.1 On-Premise
11.14.2 Cloud
11.15 Basis Point Share (BPS) Analysis by Deployment Mode
11.16 Absolute $ Opportunity Assessment by Deployment Mode
11.17 Market Attractiveness Analysis by Deployment Mode
11.18 North America Automated Trading Market Size Forecast by Type
11.18.1 Cryptocurrencies
11.18.2 Bonds
11.18.3 Foreign Exchange [FOREX]
11.18.4 Stock
11.19 Basis Point Share (BPS) Analysis by Type
11.20 Absolute $ Opportunity Assessment by Type
11.21 Market Attractiveness Analysis by Type
Chapter 12 Europe Automated Trading Analysis and Forecast
12.1 Introduction
12.2 Europe Automated Trading Market Size Forecast by Country
12.2.1 Germany
12.2.2 France
12.2.3 Italy
12.2.4 U.K.
12.2.5 Spain
12.2.6 Russia
12.2.7 Rest of Europe
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Europe Automated Trading Market Size Forecast by Type of Traders
12.6.1 Institutional Traders
12.6.2 Short-Term Traders
12.6.3 Retail Traders
12.6.4 Long-Term Traders
12.7 Basis Point Share (BPS) Analysis by Type of Traders
12.8 Absolute $ Opportunity Assessment by Type of Traders
12.9 Market Attractiveness Analysis by Type of Traders
12.10 Europe Automated Trading Market Size Forecast by Component
12.10.1 Solution
12.10.2 Services
12.11 Basis Point Share (BPS) Analysis by Component
12.12 Absolute $ Opportunity Assessment by Component
12.13 Market Attractiveness Analysis by Component
12.14 Europe Automated Trading Market Size Forecast by Deployment Mode
12.14.1 On-Premise
12.14.2 Cloud
12.15 Basis Point Share (BPS) Analysis by Deployment Mode
12.16 Absolute $ Opportunity Assessment by Deployment Mode
12.17 Market Attractiveness Analysis by Deployment Mode
12.18 Europe Automated Trading Market Size Forecast by Type
12.18.1 Cryptocurrencies
12.18.2 Bonds
12.18.3 Foreign Exchange [FOREX]
12.18.4 Stock
12.19 Basis Point Share (BPS) Analysis by Type
12.20 Absolute $ Opportunity Assessment by Type
12.21 Market Attractiveness Analysis by Type
Chapter 13 Asia Pacific Automated Trading Analysis and Forecast
13.1 Introduction
13.2 Asia Pacific Automated Trading Market Size Forecast by Country
13.2.1 China
13.2.2 Japan
13.2.3 South Korea
13.2.4 India
13.2.5 Australia
13.2.6 South East Asia (SEA)
13.2.7 Rest of Asia Pacific (APAC)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Asia Pacific Automated Trading Market Size Forecast by Type of Traders
13.6.1 Institutional Traders
13.6.2 Short-Term Traders
13.6.3 Retail Traders
13.6.4 Long-Term Traders
13.7 Basis Point Share (BPS) Analysis by Type of Traders
13.8 Absolute $ Opportunity Assessment by Type of Traders
13.9 Market Attractiveness Analysis by Type of Traders
13.10 Asia Pacific Automated Trading Market Size Forecast by Component
13.10.1 Solution
13.10.2 Services
13.11 Basis Point Share (BPS) Analysis by Component
13.12 Absolute $ Opportunity Assessment by Component
13.13 Market Attractiveness Analysis by Component
13.14 Asia Pacific Automated Trading Market Size Forecast by Deployment Mode
13.14.1 On-Premise
13.14.2 Cloud
13.15 Basis Point Share (BPS) Analysis by Deployment Mode
13.16 Absolute $ Opportunity Assessment by Deployment Mode
13.17 Market Attractiveness Analysis by Deployment Mode
13.18 Asia Pacific Automated Trading Market Size Forecast by Type
13.18.1 Cryptocurrencies
13.18.2 Bonds
13.18.3 Foreign Exchange [FOREX]
13.18.4 Stock
13.19 Basis Point Share (BPS) Analysis by Type
13.20 Absolute $ Opportunity Assessment by Type
13.21 Market Attractiveness Analysis by Type
Chapter 14 Latin America Automated Trading Analysis and Forecast
14.1 Introduction
14.2 Latin America Automated Trading Market Size Forecast by Country
14.2.1 Brazil
14.2.2 Mexico
14.2.3 Rest of Latin America (LATAM)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Latin America Automated Trading Market Size Forecast by Type of Traders
14.6.1 Institutional Traders
14.6.2 Short-Term Traders
14.6.3 Retail Traders
14.6.4 Long-Term Traders
14.7 Basis Point Share (BPS) Analysis by Type of Traders
14.8 Absolute $ Opportunity Assessment by Type of Traders
14.9 Market Attractiveness Analysis by Type of Traders
14.10 Latin America Automated Trading Market Size Forecast by Component
14.10.1 Solution
14.10.2 Services
14.11 Basis Point Share (BPS) Analysis by Component
14.12 Absolute $ Opportunity Assessment by Component
14.13 Market Attractiveness Analysis by Component
14.14 Latin America Automated Trading Market Size Forecast by Deployment Mode
14.14.1 On-Premise
14.14.2 Cloud
14.15 Basis Point Share (BPS) Analysis by Deployment Mode
14.16 Absolute $ Opportunity Assessment by Deployment Mode
14.17 Market Attractiveness Analysis by Deployment Mode
14.18 Latin America Automated Trading Market Size Forecast by Type
14.18.1 Cryptocurrencies
14.18.2 Bonds
14.18.3 Foreign Exchange [FOREX]
14.18.4 Stock
14.19 Basis Point Share (BPS) Analysis by Type
14.20 Absolute $ Opportunity Assessment by Type
14.21 Market Attractiveness Analysis by Type
Chapter 15 Middle East & Africa (MEA) Automated Trading Analysis and Forecast
15.1 Introduction
15.2 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Country
15.2.1 Saudi Arabia
15.2.2 South Africa
15.2.3 UAE
15.2.4 Rest of Middle East & Africa (MEA)
15.3 Basis Point Share (BPS) Analysis by Country
15.4 Absolute $ Opportunity Assessment by Country
15.5 Market Attractiveness Analysis by Country
15.6 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Type of Traders
15.6.1 Institutional Traders
15.6.2 Short-Term Traders
15.6.3 Retail Traders
15.6.4 Long-Term Traders
15.7 Basis Point Share (BPS) Analysis by Type of Traders
15.8 Absolute $ Opportunity Assessment by Type of Traders
15.9 Market Attractiveness Analysis by Type of Traders
15.10 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Component
15.10.1 Solution
15.10.2 Services
15.11 Basis Point Share (BPS) Analysis by Component
15.12 Absolute $ Opportunity Assessment by Component
15.13 Market Attractiveness Analysis by Component
15.14 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Deployment Mode
15.14.1 On-Premise
15.14.2 Cloud
15.15 Basis Point Share (BPS) Analysis by Deployment Mode
15.16 Absolute $ Opportunity Assessment by Deployment Mode
15.17 Market Attractiveness Analysis by Deployment Mode
15.18 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Type
15.18.1 Cryptocurrencies
15.18.2 Bonds
15.18.3 Foreign Exchange [FOREX]
15.18.4 Stock
15.19 Basis Point Share (BPS) Analysis by Type
15.20 Absolute $ Opportunity Assessment by Type
15.21 Market Attractiveness Analysis by Type
Chapter 16 Competition Landscape
16.1 Automated Trading Market: Competitive Dashboard
16.2 Global Automated Trading Market: Market Share Analysis, 2019
16.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
16.3.1 Argo SE
16.3.2 Software AG
16.3.3 Algo Trader AG
16.3.4 Consultancy Services
16.3.5 Refinitiv Ltd.
16.3.6 Virtu Financial
16.3.7 Tethys
16.3.8 Symphony Fintech Solutions Pvt Ltd.
16.3.9 63MOONS
16.3.10 MetaQuotes Software Corp
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Automated Trading Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Automated Trading Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Automated Trading Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Automated Trading Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Automated Trading Market Size & Forecast, 2018-2028
4.5.1 Automated Trading Market Size and Y-o-Y Growth
4.5.2 Automated Trading Market Absolute $ Opportunity
Chapter 5 Global Automated Trading Market Analysis and Forecast by Type of Traders
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type of Traders
5.1.2 Basis Point Share (BPS) Analysis by Type of Traders
5.1.3 Absolute $ Opportunity Assessment by Type of Traders
5.2 Automated Trading Market Size Forecast by Type of Traders
5.2.1 Institutional Traders
5.2.2 Short-Term Traders
5.2.3 Retail Traders
5.2.4 Long-Term Traders
5.3 Market Attractiveness Analysis by Type of Traders
Chapter 6 Global Automated Trading Market Analysis and Forecast by Component
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Component
6.1.2 Basis Point Share (BPS) Analysis by Component
6.1.3 Absolute $ Opportunity Assessment by Component
6.2 Automated Trading Market Size Forecast by Component
6.2.1 Solution
6.2.2 Services
6.3 Market Attractiveness Analysis by Component
Chapter 7 Global Automated Trading Market Analysis and Forecast by Deployment Mode
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Deployment Mode
7.1.2 Basis Point Share (BPS) Analysis by Deployment Mode
7.1.3 Absolute $ Opportunity Assessment by Deployment Mode
7.2 Automated Trading Market Size Forecast by Deployment Mode
7.2.1 On-Premise
7.2.2 Cloud
7.3 Market Attractiveness Analysis by Deployment Mode
Chapter 8 Global Automated Trading Market Analysis and Forecast by Type
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities by Type
8.1.2 Basis Point Share (BPS) Analysis by Type
8.1.3 Absolute $ Opportunity Assessment by Type
8.2 Automated Trading Market Size Forecast by Type
8.2.1 Cryptocurrencies
8.2.2 Bonds
8.2.3 Foreign Exchange [FOREX]
8.2.4 Stock
8.3 Market Attractiveness Analysis by Type
Chapter 9 Global Automated Trading Market Analysis and Forecast by Region
9.1 Introduction
9.1.1 Key Market Trends & Growth Opportunities by Region
9.1.2 Basis Point Share (BPS) Analysis by Region
9.1.3 Absolute $ Opportunity Assessment by Region
9.2 Automated Trading Market Size Forecast by Region
9.2.1 North America
9.2.2 Europe
9.2.3 Asia Pacific
9.2.4 Latin America
9.2.5 Middle East & Africa (MEA)
9.3 Market Attractiveness Analysis by Region
Chapter 10 Coronavirus Disease (COVID-19) Impact
10.1 Introduction
10.2 Current & Future Impact Analysis
10.3 Economic Impact Analysis
10.4 Government Policies
10.5 Investment Scenario
Chapter 11 North America Automated Trading Analysis and Forecast
11.1 Introduction
11.2 North America Automated Trading Market Size Forecast by Country
11.2.1 U.S.
11.2.2 Canada
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 North America Automated Trading Market Size Forecast by Type of Traders
11.6.1 Institutional Traders
11.6.2 Short-Term Traders
11.6.3 Retail Traders
11.6.4 Long-Term Traders
11.7 Basis Point Share (BPS) Analysis by Type of Traders
11.8 Absolute $ Opportunity Assessment by Type of Traders
11.9 Market Attractiveness Analysis by Type of Traders
11.10 North America Automated Trading Market Size Forecast by Component
11.10.1 Solution
11.10.2 Services
11.11 Basis Point Share (BPS) Analysis by Component
11.12 Absolute $ Opportunity Assessment by Component
11.13 Market Attractiveness Analysis by Component
11.14 North America Automated Trading Market Size Forecast by Deployment Mode
11.14.1 On-Premise
11.14.2 Cloud
11.15 Basis Point Share (BPS) Analysis by Deployment Mode
11.16 Absolute $ Opportunity Assessment by Deployment Mode
11.17 Market Attractiveness Analysis by Deployment Mode
11.18 North America Automated Trading Market Size Forecast by Type
11.18.1 Cryptocurrencies
11.18.2 Bonds
11.18.3 Foreign Exchange [FOREX]
11.18.4 Stock
11.19 Basis Point Share (BPS) Analysis by Type
11.20 Absolute $ Opportunity Assessment by Type
11.21 Market Attractiveness Analysis by Type
Chapter 12 Europe Automated Trading Analysis and Forecast
12.1 Introduction
12.2 Europe Automated Trading Market Size Forecast by Country
12.2.1 Germany
12.2.2 France
12.2.3 Italy
12.2.4 U.K.
12.2.5 Spain
12.2.6 Russia
12.2.7 Rest of Europe
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Europe Automated Trading Market Size Forecast by Type of Traders
12.6.1 Institutional Traders
12.6.2 Short-Term Traders
12.6.3 Retail Traders
12.6.4 Long-Term Traders
12.7 Basis Point Share (BPS) Analysis by Type of Traders
12.8 Absolute $ Opportunity Assessment by Type of Traders
12.9 Market Attractiveness Analysis by Type of Traders
12.10 Europe Automated Trading Market Size Forecast by Component
12.10.1 Solution
12.10.2 Services
12.11 Basis Point Share (BPS) Analysis by Component
12.12 Absolute $ Opportunity Assessment by Component
12.13 Market Attractiveness Analysis by Component
12.14 Europe Automated Trading Market Size Forecast by Deployment Mode
12.14.1 On-Premise
12.14.2 Cloud
12.15 Basis Point Share (BPS) Analysis by Deployment Mode
12.16 Absolute $ Opportunity Assessment by Deployment Mode
12.17 Market Attractiveness Analysis by Deployment Mode
12.18 Europe Automated Trading Market Size Forecast by Type
12.18.1 Cryptocurrencies
12.18.2 Bonds
12.18.3 Foreign Exchange [FOREX]
12.18.4 Stock
12.19 Basis Point Share (BPS) Analysis by Type
12.20 Absolute $ Opportunity Assessment by Type
12.21 Market Attractiveness Analysis by Type
Chapter 13 Asia Pacific Automated Trading Analysis and Forecast
13.1 Introduction
13.2 Asia Pacific Automated Trading Market Size Forecast by Country
13.2.1 China
13.2.2 Japan
13.2.3 South Korea
13.2.4 India
13.2.5 Australia
13.2.6 South East Asia (SEA)
13.2.7 Rest of Asia Pacific (APAC)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Asia Pacific Automated Trading Market Size Forecast by Type of Traders
13.6.1 Institutional Traders
13.6.2 Short-Term Traders
13.6.3 Retail Traders
13.6.4 Long-Term Traders
13.7 Basis Point Share (BPS) Analysis by Type of Traders
13.8 Absolute $ Opportunity Assessment by Type of Traders
13.9 Market Attractiveness Analysis by Type of Traders
13.10 Asia Pacific Automated Trading Market Size Forecast by Component
13.10.1 Solution
13.10.2 Services
13.11 Basis Point Share (BPS) Analysis by Component
13.12 Absolute $ Opportunity Assessment by Component
13.13 Market Attractiveness Analysis by Component
13.14 Asia Pacific Automated Trading Market Size Forecast by Deployment Mode
13.14.1 On-Premise
13.14.2 Cloud
13.15 Basis Point Share (BPS) Analysis by Deployment Mode
13.16 Absolute $ Opportunity Assessment by Deployment Mode
13.17 Market Attractiveness Analysis by Deployment Mode
13.18 Asia Pacific Automated Trading Market Size Forecast by Type
13.18.1 Cryptocurrencies
13.18.2 Bonds
13.18.3 Foreign Exchange [FOREX]
13.18.4 Stock
13.19 Basis Point Share (BPS) Analysis by Type
13.20 Absolute $ Opportunity Assessment by Type
13.21 Market Attractiveness Analysis by Type
Chapter 14 Latin America Automated Trading Analysis and Forecast
14.1 Introduction
14.2 Latin America Automated Trading Market Size Forecast by Country
14.2.1 Brazil
14.2.2 Mexico
14.2.3 Rest of Latin America (LATAM)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Latin America Automated Trading Market Size Forecast by Type of Traders
14.6.1 Institutional Traders
14.6.2 Short-Term Traders
14.6.3 Retail Traders
14.6.4 Long-Term Traders
14.7 Basis Point Share (BPS) Analysis by Type of Traders
14.8 Absolute $ Opportunity Assessment by Type of Traders
14.9 Market Attractiveness Analysis by Type of Traders
14.10 Latin America Automated Trading Market Size Forecast by Component
14.10.1 Solution
14.10.2 Services
14.11 Basis Point Share (BPS) Analysis by Component
14.12 Absolute $ Opportunity Assessment by Component
14.13 Market Attractiveness Analysis by Component
14.14 Latin America Automated Trading Market Size Forecast by Deployment Mode
14.14.1 On-Premise
14.14.2 Cloud
14.15 Basis Point Share (BPS) Analysis by Deployment Mode
14.16 Absolute $ Opportunity Assessment by Deployment Mode
14.17 Market Attractiveness Analysis by Deployment Mode
14.18 Latin America Automated Trading Market Size Forecast by Type
14.18.1 Cryptocurrencies
14.18.2 Bonds
14.18.3 Foreign Exchange [FOREX]
14.18.4 Stock
14.19 Basis Point Share (BPS) Analysis by Type
14.20 Absolute $ Opportunity Assessment by Type
14.21 Market Attractiveness Analysis by Type
Chapter 15 Middle East & Africa (MEA) Automated Trading Analysis and Forecast
15.1 Introduction
15.2 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Country
15.2.1 Saudi Arabia
15.2.2 South Africa
15.2.3 UAE
15.2.4 Rest of Middle East & Africa (MEA)
15.3 Basis Point Share (BPS) Analysis by Country
15.4 Absolute $ Opportunity Assessment by Country
15.5 Market Attractiveness Analysis by Country
15.6 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Type of Traders
15.6.1 Institutional Traders
15.6.2 Short-Term Traders
15.6.3 Retail Traders
15.6.4 Long-Term Traders
15.7 Basis Point Share (BPS) Analysis by Type of Traders
15.8 Absolute $ Opportunity Assessment by Type of Traders
15.9 Market Attractiveness Analysis by Type of Traders
15.10 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Component
15.10.1 Solution
15.10.2 Services
15.11 Basis Point Share (BPS) Analysis by Component
15.12 Absolute $ Opportunity Assessment by Component
15.13 Market Attractiveness Analysis by Component
15.14 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Deployment Mode
15.14.1 On-Premise
15.14.2 Cloud
15.15 Basis Point Share (BPS) Analysis by Deployment Mode
15.16 Absolute $ Opportunity Assessment by Deployment Mode
15.17 Market Attractiveness Analysis by Deployment Mode
15.18 Middle East & Africa (MEA) Automated Trading Market Size Forecast by Type
15.18.1 Cryptocurrencies
15.18.2 Bonds
15.18.3 Foreign Exchange [FOREX]
15.18.4 Stock
15.19 Basis Point Share (BPS) Analysis by Type
15.20 Absolute $ Opportunity Assessment by Type
15.21 Market Attractiveness Analysis by Type
Chapter 16 Competition Landscape
16.1 Automated Trading Market: Competitive Dashboard
16.2 Global Automated Trading Market: Market Share Analysis, 2019
16.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
16.3.1 Argo SE
16.3.2 Software AG
16.3.3 Algo Trader AG
16.3.4 Consultancy Services
16.3.5 Refinitiv Ltd.
16.3.6 Virtu Financial
16.3.7 Tethys
16.3.8 Symphony Fintech Solutions Pvt Ltd.
16.3.9 63MOONS
16.3.10 MetaQuotes Software Corp
Segments Covered in the Report
The global Automated Trading market has been segmented based on
By Type of Traders
The global Automated Trading market has been segmented based on
By Type of Traders
- Institutional Traders
- Short-Term Traders
- Retail Traders
- Long-Term Traders
- Solution
- Services
- On-Premise
- Cloud
- Cryptocurrencies
- Bonds
- Foreign Exchange [FOREX]
- Stock
- Asia Pacific
- North America
- Latin America
- Europe
- Middle East & Africa
- Argo SE
- Software AG
- Algo Trader AG
- Consultancy Services
- Refinitiv Ltd.
- Virtu Financial
- Tethys
- Symphony Fintech Solutions Pvt Ltd.
- 63MOONS
- MetaQuotes Software Corp
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