The global algorithmic trading market is expected to grow from USD 1.5 billion in 2018 to USD 2.6 billion by 2030, at a CAGR of 10.2% during the forecast period. The market is driven by the increasing adoption of algorithmic trading strategies and the need for high-frequency trading (HFT) in order to generate higher returns on investments with minimal risks. The increasing number of hedge funds and investment banks adopting algorithmic trading strategies has led to an increase in demand for these services, which has resulted in an increase in revenue generation for providers of these services.
- Algorithmic trading is a type of trading that uses mathematical models to execute trades automatically.
- Algorithmic trading has been around for decades, but it has become more popular in recent years as computers have become faster and cheaper, and the volume of trades has increased exponentially.
- The use of algorithmic trading is growing rapidly because it can be used to trade on short-term price movements with high frequency, which can generate profits from small price changes.
- Algorithmic traders are able to react quickly to new information about a company or market event by executing trades in milliseconds.
Industry Growth Insights published a new data on “Algorithmic Trading Market”. The research report is titled “Algorithmic Trading Market research by Types (On-Premise, Cloud-Based, Algorithmic Tradin), By Applications (Investment Banks, Funds, Personal Investors, Others), By Players/Companies Virtu Financial, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial, Teza Technologies, Algorithmic Tradin”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Algorithmic Trading Market Research Report
By Type
On-Premise, Cloud-Based, Algorithmic Tradin
By Application
Investment Banks, Funds, Personal Investors, Others
By Companies
Virtu Financial, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial, Teza Technologies, Algorithmic Tradin
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
239
Number of Tables & Figures
168
Customization Available
Yes, the report can be customized as per your need.
Global Algorithmic Trading Market Report Segments:
The global Algorithmic Trading market is segmented on the basis of:
Types
On-Premise, Cloud-Based, Algorithmic Tradin
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Investment Banks, Funds, Personal Investors, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Virtu Financial
- DRW Trading
- Optiver
- Tower Research Capital
- Flow Traders
- Hudson River Trading
- Jump Trading
- RSJ Algorithmic Trading
- Spot Trading
- Sun Trading
- Tradebot Systems
- IMC
- Quantlab Financial
- Teza Technologies
- Algorithmic Tradin
Highlights of The Algorithmic Trading Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premise
- Cloud-Based
- Algorithmic Tradin
- By Application:
- Investment Banks
- Funds
- Personal Investors
- Others
- 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 Algorithmic 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 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Algorithmic trading is a form of automated trading that uses computer programs to buy and sell securities. Algorithmic traders use algorithms to automatically execute trades based on pre-determined rules.
Some of the major players in the algorithmic trading market are Virtu Financial, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial, Teza Technologies, Algorithmic Tradin.
The algorithmic trading market is expected to grow at a compound annual growth rate of 10.2%.
1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Algorithmic Trading Market Overview
4.1. Introduction
4.1.1. Market Taxonomy
4.1.2. Market Definition
4.2. Macro-Economic Factors
4.2.1. Industry Outlook
4.3. Algorithmic Trading Market Dynamics
4.3.1. Market Drivers
4.3.2. Market Restraints
4.3.3. Opportunity
4.3.4. Market Trends
4.4. Algorithmic Trading Market - Supply Chain
4.5. Global Algorithmic Trading Market Forecast
4.5.1. Algorithmic Trading Market Size (US$ Mn) and Y-o-Y Growth
4.5.2. Algorithmic Trading Market Size (000 Units) and Y-o-Y Growth
4.5.3. Algorithmic Trading Market Absolute $ Opportunity
5. Global Algorithmic Trading Market Analysis and Forecast by Type
5.1. Market Trends
5.2. Introduction
5.2.1. Basis Point Share (BPS) Analysis by Type
5.2.2. Y-o-Y Growth Projections by Type
5.3. Algorithmic Trading Market Size and Volume Forecast by Type
5.3.1. On-Premise
5.3.2. Cloud-Based
5.3.3. Algorithmic Tradin
5.4. Absolute $ Opportunity Assessment by Type
5.5. Market Attractiveness/Growth Potential Analysis by Type
6. Global Algorithmic Trading Market Analysis and Forecast by Application
6.1. Market Trends
6.2. Introduction
6.2.1. Basis Point Share (BPS) Analysis by Application
6.2.2. Y-o-Y Growth Projections by Application
6.3. Algorithmic Trading Market Size and Volume Forecast by Application
6.3.1. Investment Banks
6.3.2. Funds
6.3.3. Personal Investors
6.3.4. Others
6.4. Absolute $ Opportunity Assessment by Application
6.5. Market Attractiveness/Growth Potential Analysis by Application
7. Global Algorithmic Trading Market Analysis and Forecast by Sales Channel
7.1. Market Trends
7.2. Introduction
7.2.1. Basis Point Share (BPS) Analysis by Sales Channel
7.2.2. Y-o-Y Growth Projections by Sales Channel
7.3. Algorithmic Trading Market Size and Volume Forecast by Sales Channel
7.3.1. Manufacturer/Distributor/Service Provider
7.3.2. Aftermarket
7.4. Absolute $ Opportunity Assessment by Sales Channel
7.5. Market Attractiveness/Growth Potential Analysis by Sales Channel
8. Global Algorithmic Trading Market Analysis and Forecast by Region
8.1. Market Trends
8.2. Introduction
8.2.1. Basis Point Share (BPS) Analysis by Region
8.2.2. Y-o-Y Growth Projections by Region
8.3. Algorithmic Trading Market Size and Volume Forecast by Region
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. Middle East and Africa (MEA)
8.4. Absolute $ Opportunity Assessment by Region
8.5. Market Attractiveness/Growth Potential Analysis by Region
8.6. Global Algorithmic Trading Demand Share Forecast, 2019-2026
9. North America Algorithmic Trading Market Analysis and Forecast
9.1. Introduction
9.1.1. Basis Point Share (BPS) Analysis by Country
9.1.2. Y-o-Y Growth Projections by Country
9.2. North America Algorithmic Trading Market Size and Volume Forecast by Country
9.2.1. U.S.
9.2.2. Canada
9.3. Absolute $ Opportunity Assessment by Country
9.4. North America Algorithmic Trading Market Size and Volume Forecast by Application
9.4.1. Investment Banks
9.4.2. Funds
9.4.3. Personal Investors
9.4.4. Others
9.5. Basis Point Share (BPS) Analysis by Application
9.6. Y-o-Y Growth Projections by Application
9.7. North America Algorithmic Trading Market Size and Volume Forecast by Type
9.7.1. On-Premise
9.7.2. Cloud-Based
9.7.3. Algorithmic Tradin
9.8. Basis Point Share (BPS) Analysis by Type
9.9. Y-o-Y Growth Projections by Type
9.10. Market Attractiveness/Growth Potential Analysis
9.10.1. By Country
9.10.2. By Product Type
9.10.3. By Application
9.10.4. By Sales Channel
9.11. North America Algorithmic Trading Demand Share Forecast, 2019-2026
10. Latin America Algorithmic Trading Market Analysis and Forecast
10.1. Introduction
10.1.1. Basis Point Share (BPS) Analysis by Country
10.1.2. Y-o-Y Growth Projections by Country
10.1.3. Latin America Average Pricing Analysis
10.2. Latin America Algorithmic Trading Market Size and Volume Forecast by Country
10.2.1. Brazil
10.2.2. Mexico
10.2.3. Rest of Latin America
10.3. Absolute $ Opportunity Assessment by Country
10.4. Latin America Algorithmic Trading Market Size and Volume Forecast by Application
10.4.1. Investment Banks
10.4.2. Funds
10.4.3. Personal Investors
10.4.4. Others
10.5. Basis Point Share (BPS) Analysis by Application
10.6. Y-o-Y Growth Projections by Application
10.7. Latin America Algorithmic Trading Market Size and Volume Forecast by Type
10.7.1. On-Premise
10.7.2. Cloud-Based
10.7.3. Algorithmic Tradin
10.8. Basis Point Share (BPS) Analysis by Type
10.9. Y-o-Y Growth Projections by Type
10.10. Market Attractiveness/Growth Potential Analysis
10.10.1. By Country
10.10.2. By Product Type
10.10.3. By Application
10.10.4. By Sales Channel
10.11. Latin America Algorithmic Trading Demand Share Forecast, 2019-2026
11. Europe Algorithmic Trading Market Analysis and Forecast
11.1. Introduction
11.1.1. Basis Point Share (BPS) Analysis by Country
11.1.2. Y-o-Y Growth Projections by Country
11.1.3. Europe Average Pricing Analysis
11.2. Europe Algorithmic Trading Market Size and Volume Forecast by Country
11.2.1. Germany
11.2.2. France
11.2.3. Italy
11.2.4. U.K.
11.2.5. Spain
11.2.6. Russia
11.2.7. Rest of Europe
11.3. Absolute $ Opportunity Assessment by Country
11.4. Europe Algorithmic Trading Market Size and Volume Forecast by Application
11.4.1. Investment Banks
11.4.2. Funds
11.4.3. Personal Investors
11.4.4. Others
11.5. Basis Point Share (BPS) Analysis by Application
11.6. Y-o-Y Growth Projections by Application
11.7. Europe Algorithmic Trading Market Size and Volume Forecast by Type
11.7.1. On-Premise
11.7.2. Cloud-Based
11.7.3. Algorithmic Tradin
11.8. Basis Point Share (BPS) Analysis by Type
11.9. Y-o-Y Growth Projections b Type
11.10. Market Attractiveness/Growth Potential Analysis
11.10.1. By Country
11.10.2. By Product Type
11.10.3. By Application
11.10.4. By Sales Channel
11.11. Europe Algorithmic Trading Demand Share, 2019-2026
12. Asia Pacific Algorithmic Trading Market Analysis and Forecast
12.1. Introduction
12.1.1. Basis Point Share (BPS) Analysis by Country
12.1.2. Y-o-Y Growth Projections by Country
12.1.3. Asia Pacific Average Pricing Analysis
12.2. Asia Pacific Algorithmic Trading Market Size and Volume Forecast by Country
12.2.1. China
12.2.2. Japan
12.2.3. South Korea
12.2.4. India
12.2.5. Australia
12.2.6. Rest of Asia Pacific (APAC)
12.3. Absolute $ Opportunity Assessment by Country
12.4. Asia Pacific Algorithmic Trading Market Size and Volume Forecast by Application
12.4.1. Investment Banks
12.4.2. Funds
12.4.3. Personal Investors
12.4.4. Others
12.5. Basis Point Share (BPS) Analysis by Application
12.6. Y-o-Y Growth Projections by Application
12.7. Asia Pacific Algorithmic Trading Market Size and Volume Forecast by Type
12.7.1. On-Premise
12.7.2. Cloud-Based
12.7.3. Algorithmic Tradin
12.8. Basis Point Share (BPS) Analysis by Type
12.9. Y-o-Y Growth Projections by Type
12.10. Market Attractiveness/Growth Potential Analysis
12.10.1. By Country
12.10.2. By Product Type
12.10.3. By Application
12.10.4. By Sales Channel
12.11. Asia Pacific Algorithmic Trading Demand Share, 2019-2026
13. Middle East & Africa Algorithmic Trading Market Analysis and Forecast
13.1. Introduction
13.1.1. Basis Point Share (BPS) Analysis by Country
13.1.2. Y-o-Y Growth Projections by Country
13.1.3. Asia Pacific Average Pricing Analysis
13.2. Middle East & Africa Algorithmic Trading Market Size and Volume Forecast by Country
13.2.1. Saudi Arabia
13.2.2. South Africa
13.2.3. UAE
13.2.4. Rest of Middle East & Africa (MEA)
13.3. Absolute $ Opportunity Assessment by Country
13.4. Middle East & Africa Algorithmic Trading Market Size and Volume Forecast by Application
13.4.1. Investment Banks
13.4.2. Funds
13.4.3. Personal Investors
13.4.4. Others
13.5. Basis Point Share (BPS) Analysis by Application
13.6. Y-o-Y Growth Projections by Application
13.7. Middle East & Africa Algorithmic Trading Market Size and Volume Forecast by Type
13.7.1. On-Premise
13.7.2. Cloud-Based
13.7.3. Algorithmic Tradin
13.8. Basis Point Share (BPS) Analysis by Type
13.9. Y-o-Y Growth Projections by Type
13.10. Market Attractiveness/Growth Potential Analysis
13.10.1. By Country
13.10.2. By Product Type
13.10.3. By Application
13.10.4. By Sales Channel
13.11. Middle East & Africa Algorithmic Trading Demand Share, 2019-2026
14. Competition Landscape
14.1. Global Algorithmic Trading Market: Market Share Analysis
14.2. Algorithmic Trading Distributors and Customers
14.3. Algorithmic Trading Market: Competitive Dashboard
14.4. Company Profiles (Details Overview, Financials, Developments, Strategy)
14.4.1. Virtu Financial
14.4.1.1. Overview
14.4.1.2. Financials
14.4.1.3. Developments
14.4.1.4. Strategic Outlook
14.4.2. DRW Trading
14.4.2.1. Overview
14.4.2.2. Financials
14.4.2.3. Developments
14.4.2.4. Strategic Outlook
14.4.3. Optiver
14.4.3.1. Overview
14.4.3.2. Financials
14.4.3.3. Developments
14.4.3.4. Strategic Outlook
14.4.4. Tower Research Capital
14.4.4.1. Overview
14.4.4.2. Financials
14.4.4.3. Developments
14.4.4.4. Strategic Outlook
14.4.5. Flow Traders
14.4.5.1. Overview
14.4.5.2. Financials
14.4.5.3. Developments
14.4.5.4. Strategic Outlook
14.4.6. Hudson River Trading
14.4.6.1. Overview
14.4.6.2. Financials
14.4.6.3. Developments
14.4.6.4. Strategic Outlook
14.4.7. Jump Trading
14.4.7.1. Overview
14.4.7.2. Financials
14.4.7.3. Developments
14.4.7.4. Strategic Outlook
14.4.8. RSJ Algorithmic Trading
14.4.8.1. Overview
14.4.8.2. Financials
14.4.8.3. Developments
14.4.8.4. Strategic Outlook
14.4.9. Spot Trading
14.4.9.1. Overview
14.4.9.2. Financials
14.4.9.3. Developments
14.4.9.4. Strategic Outlook
14.4.10. Sun Trading
14.4.10.1. Overview
14.4.10.2. Financials
14.4.10.3. Developments
14.4.10.4. Strategic Outlook
14.4.11. Tradebot Systems
14.4.11.1. Overview
14.4.11.2. Financials
14.4.11.3. Developments
14.4.11.4. Strategic Outlook
14.4.12. IMC
14.4.12.1. Overview
14.4.12.2. Financials
14.4.12.3. Developments
14.4.12.4. Strategic Outlook
14.4.13. Quantlab Financial
14.4.13.1. Overview
14.4.13.2. Financials
14.4.13.3. Developments
14.4.13.4. Strategic Outlook
14.4.14. Teza Technologies
14.4.14.1. Overview
14.4.14.2. Financials
14.4.14.3. Developments
14.4.14.4. Strategic Outlook
14.4.15. Algorithmic Tradin
14.4.15.1. Overview
14.4.15.2. Financials
14.4.15.3. Developments
14.4.15.4. Strategic Outlook
14.4.16. COMPANY 16
14.4.16.1. Overview
14.4.16.2. Financials
14.4.16.3. Developments
14.4.16.4. Strategic Outlook
14.4.17. COMPANY 17
14.4.17.1. Overview
14.4.17.2. Financials
14.4.17.3. Developments
14.4.17.4. Strategic Outlook
14.4.18. COMPANY 18
14.4.18.1. Overview
14.4.18.2. Financials
14.4.18.3. Developments
14.4.18.4. Strategic Outlook
14.4.19. COMPANY 19
14.4.19.1. Overview
14.4.19.2. Financials
14.4.19.3. Developments
14.4.19.4. Strategic Outlook
14.4.20. COMPANY 20
14.4.20.1. Overview
14.4.20.2. Financials
14.4.20.3. Developments
14.4.20.4. Strategic Outlook
