Request for Covid-19 Impact Assessment of this Report
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
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
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
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 ...
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 ...
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...