Global Algorithmic Trading Market 2020 By Trading Types [FOREX, Stock Markets, Exchange Traded Fund, Bonds, Cryptocurrencies and others],By Components [Solutions and Services], By Deployment modes[On-premises and Cloud], By Enterprise size[SMEs and Large Enterprises]:Global Forecast to 2026 and COVID-19 Impact Outlook
Global Algorithmic Trading Market is valued at USD 12.65 Billion in 2019 and expected to reach USD 28.74 Billion by 2026 with the CAGR of 12.4% over the forecast period.
Scope of the report
This report analyses the global market for Algorithmic Trading. The report will enable the user to understand and gain insights into the current and forecast market situation. The market is comprehensively analyzed by geography to give complete information on the global scenario. The qualitative and quantitative data provided in this study can help user understand which market segments, regions are expected to grow at higher rates, factors affecting the market and key opportunity areas. The report also includes competitive landscape of key players in the industry along with emerging trends in the market.
Key Players
Thomson Reuters,63 moons,Virtu Financial,Software AG,MetaQuotes Software,Symphony Fintech,QuantCore Capital Management,iRageCapital,Automated Trading SoftTech,Tethys,Trading Technologies,uTrade,Vela,AlgoTrader,InfoReach,Argo SE,Kuberre Systems,Tata Consultancy Services and others
Above mentioned companies were scrutinized to assess competitive landscape of global Algorithmic Trading market. Report provides company profiles of each player. Each profile include company product portfolio,business overview, company governance, company financials, business strategies, manufacturing locations and production facilities, company sale, recent developments and strategic collaborations & partnerships, new product launch, company segments, application diversification and company strength and weakness analysis.
Review period: (2016-2026)
Historic Period: 2016 to 2019
Forecast Period: 2020 to 2026
Base Year: 2019
Unit: USD Billion
This Algorithmic Trading market report provides insights on new trade regulations, import export analysis, industry value chain analysis, market size, consumption, production analysis, capacity analysis, regional and segment market share, product launches, product pipeline analysis, impact of Covid-19 on supply chain, key regions, untapped markets, patent analysis, product approvals, continuous innovations and developments in the market.
Regions
• North America: U.S., Canada and Rest of North America
• Europe: UK, France, Germany, Italy, Spain and Rest of Europe
• Asia Pacific: China, Japan, India, Australia, Southeast Asia and Rest of Asia Pacific
• Latin America: Brazil, Mexico, Argentina and Rest of Latin America
• Middle East and Africa: Gulf Countries, Israel, Africa and Rest of Middle East and Africa
Market Segmentation
• Trading Types
o FOREX
o Stock Markets
o Exchange Traded Fund
o Bonds
o Cryptocurrencies
o Others
• Components
o Solutions
o Services
• Deployment modes
o On-premises
o Cloud
• Enterprise size
o SMEs
o Large Enterprises
Report Coverage
• An overview of the global Algorithmic Trading market
• In depth analysis of market dynamics and major factors such as drivers, restraints, opportunities and trends influencing the global market
• Global Algorithmic Trading market revenue data historic and forecast analysis (2016 to 2026)
• Characterization and quantification of the market segments for Algorithmic Trading market
• Market share analysis of key market participants and their competitive landscape
Important Questions Answered by Global Algorithmic Trading Market Report
• What is the impact of COVID 19 epidemic on the global Algorithmic Trading market?
• Which is mostly affected region, country?
• Which is the current largest and fastest-growing region?
• What is the market size and growth rate of the global Algorithmic Trading market?
• What are current factors affecting the growth of market?
• What are Key trends and opportunity areas?
• Within Algorithmic Trading market, which segments are fastest growing & emerging strongly? What are the drivers and restraints for each segment? What are vendor competencies by segment?
• What are the major strategies adopted by leading market companies?
• What are company challenges and essential success factors by marketsegment?
• How company offerings and supply chain capabilitiesare shifting to meetemerging market needs?
Table of Contents
1. Introduction
1.1. Report Description
1.2. Market Segmentation
1.3. Research Methodology
1.4. List of Abbreviations
2. Executive Summary
3. Market Overview
3.1. Market Definition
3.2. Market Scope
3.3. Market Drivers
3.4. Market Restraints
3.5. Market Opportunities and Trends
3.6. Porter’s five force analysis
3.7. SWOT Analysis
3.8. PEST Analysis
3.9. Patent Analysis
3.10. Impact of COVID 19 on Global Algorithmic Trading Market
4. Algorithmic Trading Market, By Trading Types, Market Size and Forecast 2016 -2026 (USD Billion)
4.1. Global Algorithmic Trading Market By Trading Types, 2016 -2026 (USD Billion)
4.1.1. Global Algorithmic Trading Market By FOREX
4.1.2. Global Algorithmic Trading Market By Stock Markets
4.1.3. Global Algorithmic Trading Market By Exchange Traded Fund
4.1.4. Global Algorithmic Trading Market By Bonds
4.1.5. Global Algorithmic Trading Market By Cryptocurrencies
4.1.6. Global Algorithmic Trading Market By Others
4.2. Global Algorithmic Trading Market By Trading Types Share, 2016 -2026 (%)
5. Algorithmic Trading Market, By Deployment modes, Market Size and Forecast 2016 -2026 (USD Billion)
5.1. Global Algorithmic Trading Market By Deployment modes, 2016 -2026 (USD Billion)
5.1.1. Global Algorithmic Trading Market By On-premises
5.1.2. Global Algorithmic Trading Market By Cloud
5.2. Global Algorithmic Trading Market By Deployment modes Share, 2016 -2026 (%)
6. Algorithmic Trading Market, By Components, Market Size and Forecast 2016 -2026 (USD Billion)
6.1. Global Algorithmic Trading Market By Components, 2016 -2026 (USD Billion)
6.1.1. Global Algorithmic Trading Market By Solutions
6.1.2. Global Algorithmic Trading Market By Services
6.2. Global Algorithmic Trading Market By Components Share, 2016 -2026 (%)
7. Algorithmic Trading Market, By Enterprise size, Market Size and Forecast 2016 -2026 (USD Billion)
7.1. Global Algorithmic Trading Market By Enterprise size, 2016 -2026 (USD Billion)
7.1.1. Global Algorithmic Trading Market By SMEs
7.1.2. Global Algorithmic Trading Market By Large Enterprises
7.2. Global Algorithmic Trading Market By Enterprise size Share, 2016 -2026 (%)
8. Algorithmic Trading Market, By Region Market Size and Forecast 2016 -2026
8.1. NORTH AMERICA
8.1.1. Key Findings
8.1.2. Impact of COVID 19
8.1.3. Key market trends, growth factors and opportunities
8.1.4. North America Algorithmic Trading Market by Country 2016 -2026 (USD Billion)
8.1.5. North America Algorithmic Trading Market By Trading Types 2016 -2026 (USD Billion)
8.1.6. North America Algorithmic Trading Market By Components 2016 -2026 (USD Billion)
8.1.7. North America Algorithmic Trading Market By Deployment modes 2016 -2026 (USD Billion)
8.1.8. North America Algorithmic Trading Market By Enterprise size 2016 -2026 (USD Billion)
8.2. EUROPE
8.2.1. Key Findings
8.2.2. Impact of COVID 19
8.2.3. Key market trends, growth factors and opportunities
8.2.4. Europe Algorithmic Trading Market by Country 2016 -2026 (USD Billion)
8.2.5. Europe Algorithmic Trading Market By Trading Types 2016 -2026 (USD Billion)
8.2.6. Europe Algorithmic Trading Market By Components 2016 -2026 (USD Billion)
8.2.7. Europe Algorithmic Trading Market By Deployment modes 2016 -2026 (USD Billion)
8.2.8. Europe Algorithmic Trading Market By Enterprise size 2016 -2026 (USD Billion)
8.3. ASIA PACIFIC
8.3.1. Key Findings
8.3.2. Impact of COVID 19
8.3.3. Key market trends, growth factors and opportunities
8.3.4. Asia Pacific Algorithmic Trading Market by Country 2016 -2026 (USD Billion)
8.3.5. Asia Pacific Algorithmic Trading Market By Trading Types 2016 -2026 (USD Billion)
8.3.6. Asia Pacific Algorithmic Trading Market By Components 2016 -2026 (USD Billion)
8.3.7. Asia Pacific Algorithmic Trading Market By Deployment modes 2016 -2026 (USD Billion)
8.3.8. Asia Pacific Algorithmic Trading Market By Enterprise size 2016 -2026 (USD Billion)
8.4. LATIN AMERICA
8.4.1. Key Findings
8.4.2. Impact of COVID 19
8.4.3. Key market trends, growth factors and opportunities
8.4.4. Latin America Algorithmic Trading Market by Country 2016 -2026 (USD Billion)
8.4.5. Latin America Algorithmic Trading Market By Trading Types 2016 -2026 (USD Billion)
8.4.6. Latin America Algorithmic Trading Market By Components 2016 -2026 (USD Billion)
8.4.7. Latin America Algorithmic Trading Market By Deployment modes 2016 -2026 (USD Billion)
8.4.8. Latin America Algorithmic Trading Market By Enterprise size 2016 -2026 (USD Billion)
8.5. MIDDLE EAST AND AFRICA
8.5.1. Key Findings
8.5.2. Impact of COVID 19
8.5.3. Key market trends, growth factors and opportunities
8.5.4. Middle East and Africa Algorithmic Trading Market by Country 2016 -2026 (USD Billion)
8.5.5. Middle East and Africa Algorithmic Trading Market By Trading Types 2016 -2026 (USD Billion)
8.5.6. Middle East and Africa Algorithmic Trading Market By Components 2016 -2026 (USD Billion)
8.5.7. Middle East and Africa Algorithmic Trading Market By Deployment modes 2016 -2026 (USD Billion)
8.5.8. Middle East and Africa Algorithmic Trading Market By Enterprise size 2016 -2026 (USD Billion)
9. Competitive Landscape Analysis
9.1. Global Algorithmic Trading Market Company Revenue, (USD Billion), 2016-2019
9.2. Global Algorithmic Trading Market Company Share, (%), 2016-2019
10. Company Profiles
10.1. Thomson Reuters
10.2. 63 moons
10.3. Virtu Financial
10.4. Software AG
10.5. MetaQuotes Software
10.6. Symphony Fintech
10.7. QuantCore Capital Management
10.8. iRageCapital
10.9. Automated Trading SoftTech
10.10. Tethys
10.11. Trading Technologies
10.12. uTrade
10.13. Vela
10.14. AlgoTrader
10.15. InfoReach
10.16. Argo SE
10.17. Kuberre Systems
10.18. Tata Consultancy Services
10.19. Others
11. Appendix
12. List of Tables
13. List of Figures
