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Algorithmic Trading Market Research Report by Trading Type, by Deployment, by Organisation Size - Global Forecast to 2025 - Cumulative Impact of COVID-19

  • ID: 4896603
  • Report
  • June 2020
  • Region: Global
  • 210 pages
  • 360iResearch™
until Dec 31st 2020
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The Global Algorithmic Trading Market to Grow USD 22,092.37 Million by 2025, at a CAGR of 10.94%


  • 63 Moons
  • InfoReach
  • Kuberre Systems
  • Software AG
  • Tata Consultancy Services
  • Thomson Reuters
  • MORE
The Global Algorithmic Trading Market is expected to grow from USD 11,846.92 Million in 2019 to USD 22,092.37 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 10.94%.

Market Segmentation & Coverage:

This research report categorizes the Algorithmic Trading to forecast the revenues and analyze the trends in each of the following sub-markets:

On the basis of Trading Type, the Algorithmic Trading Market is examined across Bonds, Cryptocurrencies, Exchange-Traded Funds, Foreign Exchange, and Stock Markets.

On the basis of Component, the Algorithmic Trading Market is examined across Services and Solutions. The Services further studied across Managed Services and Professional Services. The Solutions further studied across Platforms and Software Tools.

On the basis of Deployment, the Algorithmic Trading Market is examined across Cloud and On-Premises.

On the basis of Organisation Size, the Algorithmic Trading Market is examined across Large Enterprises and Small and Medium-Sized Enterprises.

On the basis of Geography, the Algorithmic Trading Market is examined across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region is examined across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region is examined across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region is examined across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:

The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Algorithmic Trading Market including 63 Moons, Argo SE, Automated Trading SoftTech, InfoReach, iRageCapital, Kuberre Systems, MetaQuotes Software, QuantCore Capital Management, Software AG, Symphony, Tata Consultancy Services, Tethys, Thomson Reuters, and Virtu Financial.

FPNV Positioning Matrix:

The FPNV Positioning Matrix evaluates and categorizes the vendors in the Algorithmic Trading Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:

The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

Cumulative Impact of COVID-19:

COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

The report provides insights on the following pointers:

1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:

1. What is the market size and forecast of the Global Algorithmic Trading Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Algorithmic Trading Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Algorithmic Trading Market?
4. What is the competitive strategic window for opportunities in the Global Algorithmic Trading Market?
5. What are the technology trends and regulatory frameworks in the Global Algorithmic Trading Market?
6. What are the modes and strategic moves considered suitable for entering the Global Algorithmic Trading Market?
Note: Product cover images may vary from those shown
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  • 63 Moons
  • InfoReach
  • Kuberre Systems
  • Software AG
  • Tata Consultancy Services
  • Thomson Reuters
  • MORE
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology
2.1. Research Process
2.1.1. Define: Research Objective
2.1.2. Determine: Research Design
2.1.3. Prepare: Research Instrument
2.1.4. Collect: Data Source
2.1.5. Analyze: Data Interpretation
2.1.6. Formulate: Data Verification
2.1.7. Publish: Research Report
2.1.8. Repeat: Report Update
2.2. Research Execution
2.2.1. Initiation: Research Process
2.2.2. Planning: Develop Research Plan
2.2.3. Execution: Conduct Research
2.2.4. Verification: Finding & Analysis
2.2.5. Publication: Research Report
2.3. Research Outcome
2.3.1. Competitive Strategic Window

3. Executive Summary
3.1. Market Outlook
3.2. Trading Type Outlook
3.3. Component Outlook
3.4. Deployment Outlook
3.5. Organisation Size Outlook
3.6. Geography Outlook
3.7. Competitor Outlook

4. Market Overview
4.1. Introduction
4.2. Algorithmic Trading Market, By Geography

5. Market Dynamics
5.1. Introduction
5.1.1. Drivers
5.1.2. Restraints
5.1.3. Opportunities
5.1.4. Challenges

6. Market Insights
6.1. Porters Five Forces Analysis
6.1.1. Threat of New Entrants
6.1.2. Threat of Substitutes
6.1.3. Bargaining Power of Customers
6.1.4. Bargaining Power of Suppliers
6.1.5. Industry Rivalry
6.2. Cumulative Impact of COVID-19
6.3. Client Customizations

7. Global Algorithmic Trading Market, By Trading Type
7.1. Introduction
7.2. Bonds
7.3. Cryptocurrencies
7.4. Exchange-Traded Funds
7.5. Foreign Exchange
7.6. Stock Markets

8. Global Algorithmic Trading Market, By Component
8.1. Introduction
8.2. Services
8.2.1. Managed Services
8.2.2. Professional Services
8.3. Solutions
8.3.1. Platforms
8.3.2. Software Tools

9. Global Algorithmic Trading Market, By Deployment
9.1. Introduction
9.2. Cloud
9.3. On-Premises

10. Global Algorithmic Trading Market, By Organisation Size
10.1. Introduction
10.2. Large Enterprises
10.3. Small and Medium-Sized Enterprises

11. Americas Algorithmic Trading Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Algorithmic Trading Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. South Korea
12.10. Thailand

13. Europe, Middle East & Africa Algorithmic Trading Market
13.1. Introduction
13.2. France
13.3. Germany
13.4. Italy
13.5. Netherlands
13.6. Qatar
13.7. Russia
13.8. Saudi Arabia
13.9. South Africa
13.10. Spain
13.11. United Arab Emirates
13.12. United Kingdom

14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis
14.3. Market Share Analysis
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding

15. Company Usability Profiles
15.1. 63 Moons
15.2. Argo SE
15.3. Automated Trading SoftTech
15.4. InfoReach
15.5. iRageCapital
15.6. Kuberre Systems
15.7. MetaQuotes Software
15.8. QuantCore Capital Management
15.9. Software AG
15.10. Symphony
15.11. Tata Consultancy Services
15.12. Tethys
15.13. Thomson Reuters
15.14. Virtu Financial

16. Appendix
16.1. Discussion Guide
16.2. Edition Details
16.3. License Details
16.4. Pricing Details
Note: Product cover images may vary from those shown
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  • 63 Moons
  • Argo SE
  • Automated Trading SoftTech
  • InfoReach
  • iRageCapital
  • Kuberre Systems
  • MetaQuotes Software
  • QuantCore Capital Management
  • Software AG
  • Symphony
  • Tata Consultancy Services
  • Tethys
  • Thomson Reuters
  • Virtu Financial
Note: Product cover images may vary from those shown