Request for Covid-19 Impact Assessment of this Report

ICT & Media

Algorithmic Trading Market by Component (Solution and Services), Type (Stock s, FOREX, ETF, Bonds, Cryptocurrencies, and Others), Deployment Mode (Cloud and On-Premise), and Type of Traders (Institutional Investors, Long-Term Traders, Short-Term Traders, and Retail Investors): Global Opportunity Analysis and Industry Forecast, 2021–2028

  • ALL4621675
  • 242 Pages
  • May 2021
  • ICT & Media
Download Sample    Get Discount   
 
Algorithmic trading is also referred as black-box trading, automated trading, or algo-trading. It is a method that uses a computer program that follows a defined set of instructions or an algorithm to administer trading activity. An algorithm is fed into a computer program to automatically perform the trade whenever the command is met. An algorithm can be based on different number of input pointers such as price, quantity, timing, or other metrics. It offers several benefits to market participants such as it executes trades at the best possible prices; simultaneous automated checks on multiple market conditions; trades timed correctly and instantly; and reduced transaction costs due to lack of human intervention.

Factors such as rise in demand for reliable, fast, and effective order execution; emergence of favorable government regulations; and the need for market surveillance primarily drive the growth of the global algorithmic trading market. In addition, rise in demand for reducing the transaction costs fuels the demand for algorithmic trading. However, insufficient risk valuation capabilities may hamper the market growth to some extent. On the other hand, emergence of AI and algorithms in the financial services is expected to provide lucrative opportunities for the market growth during the forecast period. In addition, rise in demand for cloud-based solutions is anticipated to be opportunistic for the market growth during the forecast period.

The algorithmic trading market is segmented on the basis of component, type, deployment mode, type of traders, and region. On the basis of component, it is categorized into solution and services. On the basis of type, it is classified into stock markets, FOREX, ETF, bonds, and cryptocurrencies. As per the deployment mode, it is classified into cloud and on-premise. Depending on type of traders, it is divided into institutional investors, long-term traders, short-term traders, and retail investors. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The company profiles of algorithmic trading market players included in this report are 63MOONS, Virtu Financial, Software AG, Refinitiv Ltd. MetaQuotes Software Corp. Symphony Fintech Solutions Pvt Ltd. Argo SE, Tata Consultancy Services, Algo Trader AG, and Tethys.

KEY BENEFITS FOR STAKEHOLDERS

• The study provides an in-depth analysis of the algorithmic trading market along with current trends and future estimations to elucidate imminent investment pockets.

• Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.

• Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.

• The quantitative analysis of algorithmic trading market for the period 2020–2027 is provided to determine the market potential.

KEY MARKET SEGMENTS

BY COMPONENT

• Solution

• Services

BY TYPE

• Stock Markets

• FOREX

• ETF

• Bonds

• Cryptocurrencies

• Others

BY DEPLOYMENT MODE

• Cloud

• On-Premise

BY TYPE OF TRADERS

• Institutional Investors

• Long-Term Traders

• Short-Term Traders

• Retail Investors

BY REGION

• North America

o U.S.

o Canada

• Europe

o UK

o Germany

o France

o Spain

o Rest of Europe

• Asia-Pacific

o China

o India

o Japan

o Australia

o South Korea

o Rest of Asia-Pacific

• LAMEA

o Latin America

o Middle East

o Africa

KEY MARKET PLAYERS

• 63MOONS

• Virtu Financial

• Software AG

• Refinitiv Ltd.

• MetaQuotes Software Corp.

• Symphony Fintech Solutions Pvt Ltd.

• Argo SE,

• Tata Consultancy Services

• Algo Trader AG

• Tethys

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION

1.2.KEY BENEFITS FOR STAKEHOLDERS

1.3.KEY MARKET SEGMENTS

1.3.1.Key market players

1.4.RESEARCH METHODOLOGY

1.4.1.Secondary research

1.4.2.Primary research

1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.KEY FINDINGS

2.1.1.Top impacting factors

2.1.2.Top investment pockets

2.2.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE

3.2.KEY FORCES SHAPING THE ALGORITHMIC TRADING MARKET

3.3.MARKET DYNAMICS

3.3.1.Drivers

3.3.1.1.Rise in demand for reliable, fast, and effective order execution

3.3.1.2.Emergence of favorable government regulations

3.3.1.3.The need for market surveillance

3.3.1.4.Rise in demand for reducing the transaction costs

3.3.2.Restraints

3.3.2.1.Insufficient Risk Valuation Capabilities

3.3.3.Opportunities

3.3.3.1.Emergence of AI and algorithms in the financial services

3.3.3.2.Rise in demand for cloud based solutions

3.4.PATENT ANALYSIS

3.4.1.By region (2000-2020)

3.4.2.By applicant

3.5.COVID-19 IMPACT ANALYSIS ON THE ALGORITHMIC TRADING MARKET

3.5.1.Impact on market size

3.5.2.Consumer trends, preferences, and budget impact

3.5.3.Economic impact

3.5.4.Key player strategies to tackle negative impact

3.5.5.Opportunity window

CHAPTER 4:ALGORITHMIC TRADING MARKET, BY COMPONENT

4.1.OVERVIEW

4.2.SOLUTION

4.2.1.Key market trends, growth factors, and opportunities

4.2.2.Market size and forecast, by region

4.2.3.Market analysis, by country

4.3.SERVICES

4.3.1.Key market trends, growth factors, and opportunities

4.3.2.Market size and forecast, by region

4.3.3.Market analysis, by country

CHAPTER 5:ALGORITHMIC TRADING MARKET, BY TYPE

5.1.OVERVIEW

5.2.STOCK MARKETS

5.2.1.Key market trends, growth factors, and opportunities

5.2.2.Market size and forecast, by region

5.2.3.Market analysis, by country

5.3.FOREX

5.3.1.Key market trends, growth factors, and opportunities

5.3.2.Market size and forecast, by region

5.3.3.Market analysis, by country

5.4.ETF

5.4.1.Key market trends, growth factors, and opportunities

5.4.2.Market size and forecast, by region

5.4.3.Market analysis, by country

5.5.BONDS

5.5.1.Key market trends, growth factors, and opportunities

5.5.2.Market size and forecast, by region

5.5.3.Market analysis, by country

5.6.CRYPTOCURRENCIES

5.6.1.Key market trends, growth factors, and opportunities

5.6.2.Market size and forecast, by region

5.6.3.Market analysis, by country

5.7.OTHERS

5.7.1.Key market trends, growth factors, and opportunities

5.7.2.Market size and forecast, by region

5.7.3.Market analysis, by country

CHAPTER 6:ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE

6.1.OVERVIEW

6.2.ON-PREMISE

6.2.1.Key market trends, growth factors, and opportunities

6.2.2.Market size and forecast, by region

6.2.3.Market analysis, by country

6.3.CLOUD

6.3.1.Key market trends, growth factors, and opportunities

6.3.2.Market size and forecast, by region

6.3.3.Market analysis, by country

CHAPTER 7:ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS

7.1.OVERVIEW

7.2.INSTITUTIONAL INVESTORS

7.2.1.Key market trends, growth factors, and opportunities

7.2.2.Market size and forecast, by region

7.2.3.Market analysis, by country

7.3.LONG-TERM TRADERS

7.3.1.Key market trends, growth factors, and opportunities

7.3.2.Market size and forecast, by region

7.3.3.Market analysis, by country

7.4.SHORT-TERM TRADERS

7.4.1.Key market trends, growth factors, and opportunities

7.4.2.Market size and forecast, by region

7.4.3.Market analysis, by country

7.5.RETAIL INVESTORS

7.5.1.Key market trends, growth factors, and opportunities

7.5.2.Market size and forecast, by region

7.5.3.Market analysis, by country

CHAPTER 8:ALGORITHMIC TRADING MARKET, BY REGION

8.1.OVERVIEW

8.2.NORTH AMERICA

8.2.1.Key market trends, growth factors, and opportunities

8.2.2.Market size and forecast, by component

8.2.3.Market size and forecast, by type

8.2.4.Market size and forecast, by Type of traders

8.2.5.Market analysis, by country

8.2.5.1.U.S.

8.2.5.1.1.Market size and forecast, by component

8.2.5.1.2.Market size and forecast, by type

8.2.5.1.3.Market size and forecast, by type of traders

8.2.5.2.Canada

8.2.5.2.1.Market size and forecast, by component

8.2.5.2.2.Market size and forecast, by type

8.2.5.2.3.Market size and forecast, by type of traders

8.3.EUROPE

8.3.1.Key market trends, growth factors, and opportunities

8.3.2.Market size and forecast, by component

8.3.3.Market size and forecast, by type

8.3.4.Market size and forecast, by Type of traders

8.3.5.Market analysis, by country

8.3.5.1.Germany

8.3.5.1.1.Market size and forecast, by component

8.3.5.1.2.Market size and forecast, by type

8.3.5.1.3.Market size and forecast, by type of traders

8.3.5.2.UK

8.3.5.2.1.Market size and forecast, by component

8.3.5.2.2.Market size and forecast, by type

8.3.5.2.3.Market size and forecast, by type of traders

8.3.5.3.France

8.3.5.3.1.Market size and forecast, by component

8.3.5.3.2.Market size and forecast, by type

8.3.5.3.3.Market size and forecast, by type of traders

8.3.5.4.Spain

8.3.5.4.1.Market size and forecast, by component

8.3.5.4.2.Market size and forecast, by type

8.3.5.4.3.Market size and forecast, by type of traders

8.3.5.5.Rest of Europe

8.3.5.5.1.Market size and forecast, by component

8.3.5.5.2.Market size and forecast, by type

8.3.5.5.3.Market size and forecast, by type of traders

8.4.ASIA-PACIFIC

8.4.1.Key market trends, growth factors, and opportunities

8.4.2.Market size and forecast, by component

8.4.3.Market size and forecast, by type

8.4.4.Market size and forecast, by Type of traders

8.4.5.Market analysis, by country

8.4.5.1.China

8.4.5.1.1.Market size and forecast, by component

8.4.5.1.2.Market size and forecast, by type

8.4.5.1.3.Market size and forecast, by type of traders

8.4.5.2.India

8.4.5.2.1.Market size and forecast, by component

8.4.5.2.2.Market size and forecast, by type

8.4.5.2.3.Market size and forecast, by type of traders

8.4.5.3.Japan

8.4.5.3.1.Market size and forecast, by component

8.4.5.3.2.Market size and forecast, by type

8.4.5.3.3.Market size and forecast, by type of traders

8.4.5.4.Australia

8.4.5.4.1.Market size and forecast, by component

8.4.5.4.2.Market size and forecast, by type

8.4.5.4.3.Market size and forecast, by type of traders

8.4.5.5.South Korea

8.4.5.5.1.Market size and forecast, by component

8.4.5.5.2.Market size and forecast, by type

8.4.5.5.3.Market size and forecast, by type of traders

8.4.5.6.Rest of Asia-Pacific

8.4.5.6.1.Market size and forecast, by component

8.4.5.6.2.Market size and forecast, by type

8.4.5.6.3.Market size and forecast, by type of traders

8.5.EUROPE

8.5.1.Key market trends, growth factors, and opportunities

8.5.2.Market size and forecast, by component

8.5.3.Market size and forecast, by type

8.5.4.Market size and forecast, by Type of traders

8.5.5.Market analysis, by country

8.5.5.1.Latin America

8.5.5.1.1.Market size and forecast, by component

8.5.5.1.2.Market size and forecast, by type

8.5.5.1.3.Market size and forecast, by type of traders

8.5.5.2.Middle East

8.5.5.2.1.Market size and forecast, by component

8.5.5.2.2.Market size and forecast, by type

8.5.5.2.3.Market size and forecast, by type of traders

8.5.5.3.Africa

8.5.5.3.1.Market size and forecast, by component

8.5.5.3.2.Market size and forecast, by type

8.5.5.3.3.Market size and forecast, by type of traders

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.KEY PLAYER POSITIONING ANALYSIS, 2020

9.2.TOP WINNING STRATEGIES

9.3.COMPETITIVE DASHBOARD

9.4.KEY DEVELOPMENTS

9.4.1.New product launches

9.4.2.Collaboration

9.4.3.Acquisition

9.4.4.Partnership

CHAPTER 10:COMPANY PROFILE

10.1.63MOONS

10.1.1.Company overview

10.1.2.Key executives

10.1.3.Company snapshot

10.1.4.Product portfolio

10.1.5.Business performance

10.1.6.Key strategic moves and developments

10.2.VIRTU FINANCIAL

10.2.1.Company overview

10.2.2.Key executives

10.2.3.Company snapshot

10.2.4.Product portfolio

10.2.5.Business performance

10.2.6.Key strategic moves and developments

10.3.SOFTWARE AG

10.3.1.Company overview

10.3.2.Key executive

10.3.3.Company snapshot

10.3.4.Product portfolio

10.3.5.R&D expenditure

10.3.6.Business performance

10.3.7.Key strategic moves and developments

10.4.REFINITIV LTD.

10.4.1.Company overview

10.4.2.Key executive

10.4.3.Company snapshot

10.4.4.Operating business segments

10.4.5.Product portfolio

10.4.6.Business performance

10.4.7.Key strategic moves and developments

10.5.METAQUOTES SOFTWARE CORP.

10.5.1.Company overview

10.5.2.Key executive

10.5.3.Company snapshot

10.5.4.Product portfolio

10.5.5.Key strategic moves and developments

10.6.SYMPHONY FINTECH SOLUTIONS PVT LTD.

10.6.1.Company overview

10.6.2.Key executive

10.6.3.Company snapshot

10.6.4.Product portfolio

10.6.5.Key strategic moves and developments

10.7.ARGO SE

10.7.1.Company overview

10.7.2.Key executives

10.7.3.Company snapshot

10.7.4.Product portfolio

10.7.5.Key strategic moves and developments

10.8.TATA CONSULTANCY SERVICES

10.8.1.Company overview

10.8.2.Key executive

10.8.3.Company snapshot

10.8.4.Product portfolio

10.8.5.R&D expenditure

10.8.6.Business performance

10.8.7.Key strategic moves and developments

10.9.ALGO TRADER AG

10.9.1.Company overview

10.9.2.Key executive

10.9.3.Company snapshot

10.9.4.Product portfolio

10.9.5.Key strategic moves and developments

10.10.TETHYS

10.10.1.Company overview

10.10.2.Key Executives

10.10.3.Company snapshot

10.10.4.Product portfolio

10.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 02.ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 03.ALGORITHMIC TRADING MARKET FOR SERVICES, BY REGION, 2020–2028 ($MILLION)

TABLE 04.ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 05.ALGORITHMIC TRADING MARKET FOR STOCK MARKETS, BY REGION, 2020–2028 ($MILLION)

TABLE 06.FOREX-BASED ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 07.ETF-BASED ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 08.BONDS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 09.BONDS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 10.OTHERS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 11.ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE, 2020–2028 ($MILLION)

TABLE 12.ALGORITHMIC TRADING MARKET FOR ON-PREMISE, BY REGION, 2020–2028 ($MILLION)

TABLE 13.ALGORITHMIC TRADING MARKET FOR CLOUD, BY REGION, 2020–2028 ($MILLION)

TABLE 14.ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 15.ALGORITHMIC TRADING MARKET FOR INSTITUTIONAL INVESTORS, BY REGION, 2020–2028 ($MILLION)

TABLE 16.ALGORITHMIC TRADING MARKET FOR LONG-TERM TRADERS, BY REGION, 2020–2028 ($MILLION)

TABLE 17.ALGORITHMIC TRADING MARKET FOR SHORT-TERM TRADERS, BY REGION, 2020–2028 ($MILLION)

TABLE 18.ALGORITHMIC TRADING MARKET FOR GOVERNMENT AND EDUACTION, BY REGION, 2020–2028 ($MILLION)

TABLE 19.ALGORITHMIC TRADING MARKET FOR IT AND TELECOM, BY REGION, 2020–2028 ($MILLION)

TABLE 20.ALGORITHMIC TRADING MARKET, BY REGION, 2020–2028 ($MILLION)

TABLE 21.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 22.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 23.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 24.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020–2028 ($MILLION)

TABLE 25.U.S. ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 26.U.S. ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 27.U.S. ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 28.CANADA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 29.CANADA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 30.CANADA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 31.EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 32.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 33.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 34.EUROPE ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020–2028 ($MILLION)

TABLE 35.GERMANY ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 36.GERMANY ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 37.GERMANY ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 38.UK ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 39.UK ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 40.UK ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 41.FRANCE ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 42.FRANCE ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 43.FRANCE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 44.SPAIN ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 45.SPAIN ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 46.SPAIN ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 47.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 48.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 49.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 50.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 51.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 52.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 53.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020–2028 ($MILLION)

TABLE 54.CHINA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 55.CHINA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 56.CHINA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 57.INDIA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 58.INDIA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 59.INDIA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 60.JAPAN ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 61.JAPAN ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 62.JAPAN ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 63.AUSTRALIA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 64.AUSTRALIA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 65.AUSTRALIA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 66.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 67.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 68.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 69.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 70.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 71.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 72.EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 73.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 74.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 75.EUROPE ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020–2028 ($MILLION)

TABLE 76.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 77.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 78.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 79.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 80.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 81.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 82.AFRICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 2020–2028 ($MILLION)

TABLE 83.AFRICA ALGORITHMIC TRADING MARKET, BY TYPE, 2020–2028 ($MILLION)

TABLE 84.AFRICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 2020–2028 ($MILLION)

TABLE 85.KEY NEW PRODUCT LAUNCHES (2017-2020)

TABLE 86.COLLABORATION (2017-2020)

TABLE 87.ACQUISTION (2017-2020)

TABLE 88.PARTNERSHIP (2017-2020)

TABLE 89.63 MOONS: KEY EXECUTIVES

TABLE 90.63 MOONS: COMPANY SNAPSHOT

TABLE 91.63 MOONS: PRODUCT PORTFOLIO

TABLE 92.VIRTU FINANCIAL.: KEY EXECUTIVES

TABLE 93.VIRTU FINANCIAL: COMPANY SNAPSHOT

TABLE 94.VIRTU FINANCIAL: PRODUCT PORTFOLIO

TABLE 95.SOFTWARE AG: KEY EXECUTIVE

TABLE 96.SOFTWARE AG: COMPANY SNAPSHOT

TABLE 97.SOFTWARE AG: PRODUCT PORTFOLIO

TABLE 98.REFINITIV LTD.: KEY EXECUTIVE

TABLE 99.REFINITIV LTD.: COMPANY SNAPSHOT

TABLE 100.LONDON STOCK EXCHANGE GROUP: OPERATING SEGMENTS

TABLE 101.REFINITIV LTD.: PRODUCT PORTFOLIO

TABLE 102.METAQUOTES SOFTWARE CORPORATION: KEY EXECUTIVE

TABLE 103.METAQUOTES SOFTWARE CORPORATION: COMPANY SNAPSHOT

TABLE 104.METAQUOTES SOFTWARE CORPORATION: PRODUCT PORTFOLIO

TABLE 105.SYMPHONY FINTECH SOLUTIONS PVT LTD.: KEY EXECUTIVE

TABLE 106.SYMPHONY FINTECH SOLUTIONS PVT LTD.: COMPANY SNAPSHOT

TABLE 107.SYMPHONY FINTECH SOLUTIONS PVT LTD.: PRODUCT PORTFOLIO

TABLE 108.SYMPHONY FINTECH SOLUTIONS PVT LTD.: KEY STRATEGIC MOVES AND DEVELOPMENTS

TABLE 109.ARGO SE: KEY EXECUTIVES

TABLE 110.ARGO SE: COMPANY SNAPSHOT

TABLE 111.ARGO SE: PRODUCT PORTFOLIO

TABLE 112.TATA CONSULTANCY SERVICES: KEY EXECUTIVE

TABLE 113.TATA CONSULTANCY SERVICES: COMPANY SNAPSHOT

TABLE 114.TATA CONSULTANCY SERVICES: PRODUCT PORTFOLIO

TABLE 115.ALGO TRADER: KEY EXECUTIVE

TABLE 116.ALGO TRADER AG: COMPANY SNAPSHOT

TABLE 117.ALGO TRADER AG: PRODUCT PORTFOLIO

TABLE 118.TETHYS TECHNOLOGY, INC: KEY EXECUTIVES

TABLE 119.TETHYS TECHNOLOGY, INC. COMPANY SNAPSHOT

TABLE 120.TETHYS TECHNOLOGY, INC.: PRODUCT PORTFOLIO

 
Purchase Options

* Taxes/Fees, If applicable will be
added during checkout. All prices in USD.

Need More Information

Contact Us

+ 1-888-961-4454

Drop Us an email at

help@bigmarketresearch.com

Similar Reports

World Intelligent Virtual Assistant Market Opportunities and Forecasts, 2014 - 2020

Intelligent virtual assistant (IVA) is a next generation software solution that facilitates user interaction with PC, through internet, SMS, messenger and other interfaces. IVA systems use various interaction methods, which include text-to-text, speech-to-text, text-to-speech, and speech-to-speech, among others to assist users in executing their respective tasks. The ...

  • Publish Date: January 1, 2016
  • $5370
World Software Defined Networking Market - Opportunities and Forecasts, 2015-2022

Software defined networking (SDN) is a technology that creates a global view of network to provide centralized, intelligence-based network control by separating the control logic from off-device computer resources. This technology has redefined the networking ...

  • Publish Date: May 25, 2016
  • $5370
World Computer Numerical Control (CNC) Market - Opportunities and Forecasts, 2014-2022

Computer Numerical Control (CNC) machines are the fully-automated and sophisticated solution for metal working tools controlled by computers. These machines are the asset of machine tools industry owing to the profit gained by its application in the end-user i...

  • Publish Date: November 19, 2016
  • $5370