Market Overview:
The global algorithm trading market is expected to grow from USD XX million in 2018 to USD XX million by 2030, at a CAGR of X%. The growth of the market can be attributed to the increasing demand for algorithmic trading from retail traders and institutional investors. The global algorithm trading market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into Forex algorithm trading, stock algorithm trading, fund algorithm trading, bond algorithm trading, cryptographic algorithm Trading,, and other algorithmic Trading. Cryptographic algorithms are used in various applications such as data security & privacy protection; digital signatures; authentication; key agreement protocols; and others. These algorithms are used extensively in various industries such as BFSI (banking & financial services industry), healthcare sector., retail sector., government sector., defense sector., and others. The cryptographic algorithms segment is expected to grow at a high CAGR during the forecast period owing to its growing demand from various end-use industries. . However,.
Product Definition:
Algorithm trading is a method of executing trades algorithmically using pre-determined instructions or computer programs. These instructions or programs, often called bots, allow for the automated purchase and sale of securities based on predetermined criteria. Algorithmic trading has become increasingly popular in recent years as it allows investors to trade more efficiently and at a lower cost.
Forex Algorithm Trading:
In this article, I will try to give a complete Forex algorithm trading description. For those who are not aware of what is forex algorithm trading, it is also known as algo or AI Trading. It's an automated system that runs through a set of buy and sell strategies based on certain conditions and goals that the developer has defined in the program.
Stock Algorithm Trading:
The stock algorithm trading is a type of automated trading that uses an algorithm to buy and sell securities based on pre-programmed orders. The basic function of any stock market is to buy and sell assets based on the fluctuations in their prices. A stock algorithm trades like a human does, it follows certain rules or algorithms to execute trades.
Application Insights:
The large enterprise segment accounted for the largest market share in 2017 and is anticipated to continue its dominance over the forecast period. The large enterprises have substantial resources, high computational power, deep pockets and strong financial backing which enables them to take risks in trading algorithms. The growing importance of data analysis skills among employees has increased the need for automated trading systems that can perform complex operations quickly. This factor is expected to drive algorithm trading in large enterprises during the forecast period.
The SME segment is projected to exhibit significant growth over the forecast period owing to increasing penetration of algo-trading solutions among small businesses as they offer easy access and affordable services resulting in higher adoption rates across smaller organizations than those offered by larger ones.
Regional Analysis:
North America dominated the global market in terms of revenue share in 2017. The growth can be attributed to the presence of a large number of algorithm providers and developers, along with increased adoption across various asset classes. Moreover, growing demand for advanced trading technologies has also contributed to regional market growth.
Asia Pacific is expected to witness significant growth over the forecast period owing to increasing awareness among investors about automated investment systems and their benefits such as reduced portfolio management time, enhanced risk management capabilities, etc. Also, rising adoption by retail investors due to low minimum investment requirements is further anticipated to drive regional demand during the forecast period.
The European market was valued at USD X billion in 2017.
Growth Factors:
- Increasing demand for automated trading systems from retail traders and institutional investors
- Rising popularity of algorithmic trading among individual investors due to its ability to generate consistent profits over time
- Proliferation of low-cost, high-speed computer networks and data feeds that has made algorithmic trading more accessible to a wider range of investors
- Development of new algorithms and software by vendors that allow traders to customize their strategies according to their own risk profiles and investment goals
- Growing interest in alternative investment vehicles such as hedge funds, which has helped fuel the growth of algorithm trading
Scope Of The Report
Report Attributes
Report Details
Report Title
Algorithm Trading Market Research Report
By Type
Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading, Other Algorithmic Trading
By Application
large Enterprise, SME
By Companies
Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management
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
163
Number of Tables & Figures
115
Customization Available
Yes, the report can be customized as per your need.
Global Algorithm Trading Market Report Segments:
The global Algorithm Trading market is segmented on the basis of:
Types
Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading, Other Algorithmic Trading
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
large Enterprise, SME
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:
- Thomson Reuters
- 63 moons
- InfoReach
- Argo SE
- MetaQuotes Software
- Automated Trading SoftTech
- Tethys
- Trading Technologies
- Tata Consulting Services
- Vela
- Virtu Financial
- Symphony Fintech
- Kuberre Systems
- iRageCapital
- QuantCore Capital Management
Highlights of The Algorithm 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:
- Forex Algorithm Trading
- Stock Algorithm Trading
- Fund Algorithm Trading
- Bond Algorithm Trading
- Cryptographic Algorithm Trading
- Other Algorithmic Trading
- By Application:
- large Enterprise
- SME
- 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 Algorithm 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?
Algorithm trading is a type of automated trading that uses computer programs to make buy and sell decisions. Algorithmic traders use algorithms to identify patterns in the market data and then trade on those patterns.
Some of the major companies in the algorithm trading market are Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Algorithm 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 Algorithm Trading Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Algorithm 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 Algorithm 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 Algorithm Trading Market Size & Forecast, 2018-2028 4.5.1 Algorithm Trading Market Size and Y-o-Y Growth 4.5.2 Algorithm Trading Market Absolute $ Opportunity
Chapter 5 Global Algorithm Trading Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Algorithm Trading Market Size Forecast by Type
5.2.1 Forex Algorithm Trading
5.2.2 Stock Algorithm Trading
5.2.3 Fund Algorithm Trading
5.2.4 Bond Algorithm Trading
5.2.5 Cryptographic Algorithm Trading
5.2.6 Other Algorithmic Trading
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Algorithm Trading Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Algorithm Trading Market Size Forecast by Applications
6.2.1 large Enterprise
6.2.2 SME
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Algorithm Trading Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Algorithm Trading Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Algorithm Trading Analysis and Forecast
9.1 Introduction
9.2 North America Algorithm Trading Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Algorithm Trading Market Size Forecast by Type
9.6.1 Forex Algorithm Trading
9.6.2 Stock Algorithm Trading
9.6.3 Fund Algorithm Trading
9.6.4 Bond Algorithm Trading
9.6.5 Cryptographic Algorithm Trading
9.6.6 Other Algorithmic Trading
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Algorithm Trading Market Size Forecast by Applications
9.10.1 large Enterprise
9.10.2 SME
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Algorithm Trading Analysis and Forecast
10.1 Introduction
10.2 Europe Algorithm Trading Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Algorithm Trading Market Size Forecast by Type
10.6.1 Forex Algorithm Trading
10.6.2 Stock Algorithm Trading
10.6.3 Fund Algorithm Trading
10.6.4 Bond Algorithm Trading
10.6.5 Cryptographic Algorithm Trading
10.6.6 Other Algorithmic Trading
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Algorithm Trading Market Size Forecast by Applications
10.10.1 large Enterprise
10.10.2 SME
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Algorithm Trading Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Algorithm Trading Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
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 Asia Pacific Algorithm Trading Market Size Forecast by Type
11.6.1 Forex Algorithm Trading
11.6.2 Stock Algorithm Trading
11.6.3 Fund Algorithm Trading
11.6.4 Bond Algorithm Trading
11.6.5 Cryptographic Algorithm Trading
11.6.6 Other Algorithmic Trading
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Algorithm Trading Market Size Forecast by Applications
11.10.1 large Enterprise
11.10.2 SME
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Algorithm Trading Analysis and Forecast
12.1 Introduction
12.2 Latin America Algorithm Trading Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
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 Latin America Algorithm Trading Market Size Forecast by Type
12.6.1 Forex Algorithm Trading
12.6.2 Stock Algorithm Trading
12.6.3 Fund Algorithm Trading
12.6.4 Bond Algorithm Trading
12.6.5 Cryptographic Algorithm Trading
12.6.6 Other Algorithmic Trading
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Algorithm Trading Market Size Forecast by Applications
12.10.1 large Enterprise
12.10.2 SME
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Algorithm Trading Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Algorithm Trading Market Size 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 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Algorithm Trading Market Size Forecast by Type
13.6.1 Forex Algorithm Trading
13.6.2 Stock Algorithm Trading
13.6.3 Fund Algorithm Trading
13.6.4 Bond Algorithm Trading
13.6.5 Cryptographic Algorithm Trading
13.6.6 Other Algorithmic Trading
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Algorithm Trading Market Size Forecast by Applications
13.10.1 large Enterprise
13.10.2 SME
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Algorithm Trading Market: Competitive Dashboard
14.2 Global Algorithm Trading Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Thomson Reuters
14.3.2 63 moons
14.3.3 InfoReach
14.3.4 Argo SE
14.3.5 MetaQuotes Software
14.3.6 Automated Trading SoftTech
14.3.7 Tethys
14.3.8 Trading Technologies
14.3.9 Tata Consulting Services
14.3.10 Vela
14.3.11 Virtu Financial
14.3.12 Symphony Fintech
14.3.13 Kuberre Systems
14.3.14 iRageCapital
14.3.15 QuantCore Capital Management