+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Algorithmic Trading Market - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast 2018-2026

  • ID: 4851922
  • Report
  • September 2018
  • Region: Global
  • 335 pages
  • Transparency Market Research
1 of 2

Enquire about COVID-19 updates for this product.

Enquire Now

Algorithmic Trading Market: Overview

The algorithmic trading market report provides analysis for the period 2016 – 2026, wherein the period from 2018 to 2026 is the forecast period and 2017 is the base year. The report covers all the major trends and technologies playing an influential role in the market’s growth over the forecast period. It also highlights the drivers, restraints, and opportunities for the analysis of market growth during the said period. The study provides a complete perspective on the evolution of the global algorithmic trading market throughout the above mentioned forecast period in terms of revenue (US$ Mn).

The market overview section of the report demonstrates market dynamics such as the drivers, restraints, and opportunities that influence the current nature and future statusof this market, key indicators, end-user adoption analysis, and trends of the market. Further, key market indicators included in the report provide significance of the factors which are capable of changing the market scenario. These indicators are expected to define the market position during the forecast period and provide an overview about the global algorithmic trading market. A market attractiveness analysis has also been provided for every segment in the report, in order to provide a thorough understanding of the overall scenario in the algorithmic trading market. The report also provides an overview of various strategies adopted by key players in the market.

Global Algorithmic Trading Market: Scope of the Report

The report segments the market on the basis of components - Software (on premise, cloud (private and public cloud) hybrid), and services (managed services, professional services (maintenance, integration and consulting). Based on trading type, the market is segmented into forex, stock markets, commodities, bonds, and cryptocurrency.The report provides in-depth segment analysis of the global algorithmic trading market, thereby providing valuable insights at the macro as well as micro levels.

The report also highlights the competitive landscape of the global algorithmic trading market, positioning all the major players according to their presence in different regions of the world and recent key developments initiated by them in the market. The comprehensive algorithmic trading market estimates are the result of our in-depth secondary research, primary interviews and in-house expert panel reviews. These market estimates have been analyzed by taking into account the impact of different political, social, economic, and technological factors along with the current market dynamics affecting the growth of the algorithmic trading market.

This report provides all the essential information required to understand the key developments in the algorithmic trading market, and growth trends of each segment and region. It also includes companies’ strategies, financial information, SWOT analysis, and developments under the company profile section. Also, the report provides insights related to trends and their impact on the market. Furthermore, Porter’s Five Forces analysis explains the five forces, namely buyers bargaining power, suppliers bargaining power, threat of new entrants, threat of substitutes, and degree of competition in the algorithmic trading market .The report also provides the comprehensive ecosystem analysis for the algorithmic trading market. It explains the various participants including software & platform vendors, system integrators, and trading platforms of the ecosystem in the market.

Global Algorithmic Trading Market: Research Methodology

The research methodology is a perfect combination of primary research, secondary research, and expert panel reviews. Secondary research sources such as annual reports, company websites, broker reports, financial reports, SEC filings and investor presentations, national government documents, internal and external proprietary databases, statistical databases, relevant patent and regulatory databases, market reports, government publications, statistical databases, World Bank database, and industry white papers are usuallyreferred.

Primary research involves telephonic interviews, e-mail interactions, and face-to-face interviews for detailed and unbiased reviews on the algorithmic tradingmarket,across geographies. Primary interviews are usually conducted on an ongoing basis with industry expertsand participants in order to get latest market insights and validate the existing data and analysis. Primary interviews offer firsthand information on important factors such as market trends, market size, competitive landscape,growth trends, and outlook, etc. These factors help to validate and strengthen secondary research findings and also help to develop the analysis team’s expertise and market understanding. Moreover, the data collected and analyzed from secondary and primary research is again discussed and examined by our expert panel.

Global Algorithmic Trading Market: Competitive Dynamics

The research study includes profiles of leading companies operating in the global algorithmic trading market. Some of the key players profiled in the algorithmic trading market include Trading Technologies International, Inc., Argo Software Engineering, Inc., Automated Trading SoftTechPvt. Ltd., InfoReach, Inc., Kuberre Systems, MetaQuotes Software Corp., Software AG, Thomson Reuters Corporation, uTrade, and Vela Trading Systems LLC (OptionsCity Software, Inc.).

The algorithmic trading market has been segmented as below:

Market Segmentation: Global Algorithmic Trading Market

By Component

  • Software
    • Cloud-based
      • Public
      • Private
    • On-premise
    • Hybrid
  • Services
    • Managed/Outsourced
    • Professional

 By Trading Type

  • Forex
  • Stock Markets
  • Commodities
  • Bonds
  • Cryptocurrency

In addition, the report provides analysis of the algorithmic trading market with respect to the following geographic segments:

  • North America
    • The U.S.
    • Canada
    • Rest of North America
  • Europe
    • U.K.
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific (APAC)
    • China
      • Mainland
      • Hong Kong
    • India
    • Japan
    • Australia
    • South Korea
    • ASEAN
      • Indonesia
      • Thailand
      • Malaysia
      • Philippines
      • Singapore
    • Rest of Asia Pacific
  • Middle East & Africa (MEA)
    • GCC
    • South Africa
    • Rest of MEA
  • South America
    • Brazil
    • Rest of South America
Note: Product cover images may vary from those shown
2 of 2
1. Preface
1.1. Market Scope
1.2. Market Segmentation
1.3. Key Research Objectives

2. Assumptions and Research Methodology
2.1. Market Taxonomy - Segment Definitions
2.2. Research Methodology
2.2.1. List of Primary and Secondary Sources
2.3. Key Assumptions for Data Modelling

3. Executive Summary : Global Algorithmic Trading Market

4. Market Overview
4.1. Introduction
4.2. Global Market - Macro Economic Factors Overview
4.2.1. GDP Indicator
4.2.2. Global ICT Spending (US$ Mn), 2012, 2018, 2026
4.2.3. Key Regional Socio-Political-Technological Developments and their Impact Considerations
4.3. Technology/Product Roadmap
4.4. Key Market Indicators
4.5. Analysis of Pricing Model
4.5.1. Subscription Based
4.5.2. Licensing Based
4.6. Market Factor Analysis
4.6.1. Porter’s Five Forces Analysis
4.6.2. PESTEL Analysis
4.6.3. Value Chain Analysis
4.6.3.1. Key End User/Customers Analysis
4.6.3.2. Market Channel Development Trends
4.6.4. Market Dynamics (Growth Influencers)
4.6.4.1. Drivers
4.6.4.2. Restraints
4.6.4.3. Opportunities
4.6.4.4. Impact Analysis of Drivers & Restraints
4.6.4.5. Key Trends
4.7. Global Algorithmic Trading Market Analysis and Forecast, 2016 - 2026
4.7.1. Market Revenue Analysis (US$ Mn)
4.7.1.1. Historic Growth Trends, 2012-2017
4.7.1.2. Forecast Trends, 2017-2026
4.8. Market Attractiveness Analysis- by Region (Global/North America/Europe/Asia Pacific/Middle East & Africa/South America)
4.8.1. By Region/Country
4.8.2. By Components
4.8.3. By Trading Type
4.9. Market Outlook
4.10. Competitive Scenario and Trends
4.10.1. Algorithmic Trading Market Concentration Rate
4.10.1.1. List of New Entrants
4.10.2. Mergers & Acquisitions, Expansions

5. Global Algorithmic Trading Market Analysis and Forecasts, By Components
5.1. Introduction & Definitions
5.2. Key Findings
5.3. Market Size (US$ Mn) Forecast By Components, 2016-2026
5.3.1. Software
5.3.1.1. On-Premise
5.3.1.2. Cloud
5.3.1.1.1. Private Cloud
5.3.1.2.2. Public Cloud
5.3.1.3. Hybrid
5.3.2. Services
5.3.2.1. Managed Services
5.3.2.2. Professional Services (Maintenance, Integration, Consulting)

6. Global Algorithmic Trading Market Analysis and Forecasts, By Trading Type
6.1. Key Findings
6.2. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
6.2.1. Forex
6.2.2. Stock Markets
6.2.3. Commodities
6.2.4. Bonds
6.2.5. Cryptocurrency

7. Global Algorithmic Trading Market Analysis and Forecast, by Region
7.1. Overview
7.2. Key Segment Analysis
7.3. Algorithmic Trading Market Size (US$ Mn) Forecast, by Region, 2016 - 2026
7.3.1. North America
7.3.2. Europe
7.3.3. Asia Pacific
7.3.4. Middle East & Africa
7.3.5. South America

8. North America Algorithmic Trading Market Analysis and Forecast
8.1. Key Findings
8.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
8.2.1. Software
8.2.1.1. On-Premise
8.2.1.2. Cloud
8.2.1.2.1. Private Cloud
8.2.1.2.2. Public Cloud
8.2.1.3. Hybrid
8.2.2. Services
8.2.2.1. Managed Services
8.2.2.2. Professional Services (Maintenance, Integration, Consulting)
8.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
8.3.1. Forex
8.3.2. Stock Markets
8.3.3. Commodities
8.3.4. Bonds
8.3.5. Cryptocurrency
8.4. Market Size (US$ Mn) Forecast By Country, 2016-2026
8.4.1. U.S.
8.4.2. Canada
8.4.3. Rest of North America

9. Europe Algorithmic Trading Market Analysis and Forecast
9.1. Key Findings
9.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
9.2.1. Software
9.2.1.1. On-Premise
9.2.1.2. Cloud
9.2.1.2.1. Private Cloud
9.2.1.2.2. Public Cloud
9.2.1.3. Hybrid
9.2.2. Services
9.2.2.1. Managed Services
9.2.2.2. Professional Services (Maintenance, Integration, Consulting)
9.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
9.3.1. Forex
9.3.2. Stock Markets
9.3.3. Commodities
9.3.4. Bonds
9.3.5. Cryptocurrency
9.4. Market Size (US$ Mn) Forecast By Country, 2016-2026
9.4.1. UK
9.4.2. Germany
9.4.3. France
9.4.4. Rest of Europe

10. Asia Pacific Algorithmic Trading Market Analysis and Forecast
10.1. Key Findings
10.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
10.2.1. Software
10.2.1.1. On-Premise
10.2.1.2. Cloud
10.2.1.2.1. Private Cloud
10.2.1.2.2. Public Cloud
10.2.1.3. Hybrid
10.2.2. Services
10.2.2.1. Managed Services
10.2.2.2. Professional Services (Maintenance, Integration, Consulting)
10.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
10.3.1. Forex
10.3.2. Stock Markets
10.3.3. Commodities
10.3.4. Bonds
10.3.5. Cryptocurrency
10.4. Market Size (US$ Mn) Forecast By Country, 2016-2026
10.4.1. China
10.4.1.1. Mainland
10.4.1.2. Hong Kong
10.4.2. India
10.4.3. Japan
10.4.4. Australia
10.4.5. South Korea
10.4.6. ASEAN
10.4.6.1. Indonesia
10.4.6.2. Thailand
10.4.6.3. Malaysia
10.4.6.4. Philippines
10.4.6.5. Singapore
10.4.7. Rest of Asia Pacific

11. China Algorithmic Trading Market Analysis and Forecast
11.1. Key Findings
11.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
11.2.1. Software
11.2.1.1. On-Premise
11.2.1.2. Cloud
11.2.1.2.1. Private Cloud
11.2.1.2.2. Public Cloud
11.2.1.3. Hybrid
11.2.2. Services
11.2.2.1. Managed Services
11.2.2.2. Professional Services (Maintenance, Integration, Consulting)
11.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
11.3.1. Forex
11.3.2. Stock Markets
11.3.3. Commodities
11.3.4. Bonds
11.3.5. Cryptocurrency

12. India Algorithmic Trading Market Analysis and Forecast
12.1. Key Findings
12.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
12.2.1. Software
12.2.1.1. On-Premise
12.2.1.2. Cloud
12.2.1.2.1. Private Cloud
12.2.1.2.2. Public Cloud
12.2.1.3. Hybrid
12.2.2. Services
12.2.2.1. Managed Services
12.2.2.2. Professional Services (Maintenance, Integration, Consulting)
12.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
12.3.1. Forex
12.3.2. Stock Markets
12.3.3. Commodities
12.3.4. Bonds
12.3.5. Cryptocurrency

13. Japan Algorithmic Trading Market Analysis and Forecast
13.1. Key Findings
13.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
13.2.1. Software
13.2.1.1. On-Premise
13.2.1.2. Cloud
13.2.1.2.1. Private Cloud
13.2.1.2.2. Public Cloud
13.2.1.3. Hybrid
13.2.2. Services
13.2.2.1. Managed Services
13.2.2.2. Professional Services (Maintenance, Integration, Consulting)
13.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
13.3.1. Forex
13.3.2. Stock Markets
13.3.3. Commodities
13.3.4. Bonds
13.3.5. Cryptocurrency

14. Australia Algorithmic Trading Market Analysis and Forecast
14.1. Key Findings
14.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
14.2.1. Software
14.2.1.1. On-Premise
14.2.1.2. Cloud
14.2.1.2.1. Private Cloud
14.2.1.2.2. Public Cloud
14.2.1.3. Hybrid
14.2.2. Services
14.2.2.1. Managed Services
14.2.2.2. Professional Services (Maintenance, Integration, Consulting)
14.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
14.3.1. Forex
14.3.2. Stock Markets
14.3.3. Commodities
14.3.4. Bonds
14.3.5. Cryptocurrency

15. South Korea Algorithmic Trading Market Analysis and Forecast
15.1. Key Findings
15.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
15.2.1. Software
15.2.1.1. On-Premise
15.2.1.2. Cloud
15.2.1.2.1. Private Cloud
15.2.1.2.2. Public Cloud
15.2.1.3. Hybrid
15.2.2. Services
15.2.2.1. Managed Services
15.2.2.2. Professional Services (Maintenance, Integration, Consulting)
15.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
15.3.1. Forex
15.3.2. Stock Markets
15.3.3. Commodities
15.3.4. Bonds
15.3.5. Cryptocurrency

16. Indonesia Algorithmic Trading Market Analysis and Forecast
16.1. Key Findings
16.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
16.2.1. Software
16.2.1.1. On-Premise
16.2.1.2. Cloud
16.2.1.2.1. Private Cloud
16.2.1.2.2. Public Cloud
16.2.1.3. Hybrid
16.2.2. Services
16.2.2.1. Managed Services
16.2.2.2. Professional Services (Maintenance, Integration, Consulting)
16.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
16.3.1. Forex
16.3.2. Stock Markets
16.3.3. Commodities
16.3.4. Bonds
16.3.5. Cryptocurrency

17. Thailand Algorithmic Trading Market Analysis and Forecast
17.1. Key Findings
17.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
17.2.1. Software
17.2.1.1. On-Premise
17.2.1.2. Cloud
17.2.1.2.1. Private Cloud
17.2.1.2.2. Public Cloud
17.2.1.3. Hybrid
17.2.2. Services
17.2.2.1. Managed Services
17.2.2.2. Professional Services (Maintenance, Integration, Consulting)
17.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
17.3.1. Forex
17.3.2. Stock Markets
17.3.3. Commodities
17.3.4. Bonds
17.3.5. Cryptocurrency

18. Malaysia Algorithmic Trading Market Analysis and Forecast
18.1. Key Findings
18.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
18.2.1. Software
18.2.1.1. On-Premise
18.2.1.2. Cloud
18.2.1.2.1. Private Cloud
18.2.1.2.2. Public Cloud
18.2.1.3. Hybrid
18.2.2. Services
18.2.2.1. Managed Services
18.2.2.2. Professional Services (Maintenance, Integration, Consulting)
18.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
18.3.1. Forex
18.3.2. Stock Markets
18.3.3. Commodities
18.3.4. Bonds
18.3.5. Cryptocurrency

19. Philippines Algorithmic Trading Market Analysis and Forecast
19.1. Key Findings
19.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
19.2.1. Software
19.2.1.1. On-Premise
19.2.1.2. Cloud
19.2.1.2.1. Private Cloud
19.2.1.2.2. Public Cloud
19.2.1.3. Hybrid
19.2.2. Services
19.2.2.1. Managed Services
19.2.2.2. Professional Services (Maintenance, Integration, Consulting)
19.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
19.3.1. Forex
19.3.2. Stock Markets
19.3.3. Commodities
19.3.4. Bonds
19.3.5. Cryptocurrency

20. Singapore Algorithmic Trading Market Analysis and Forecast
20.1. Key Findings
20.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
20.2.1. Software
20.2.1.1. On-Premise
20.2.1.2. Cloud
20.2.1.2.1. Private Cloud
20.2.1.2.2. Public Cloud
20.2.1.3. Hybrid
20.2.2. Services
20.2.2.1. Managed Services
20.2.2.2. Professional Services (Maintenance, Integration, Consulting)
20.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
20.3.1. Forex
20.3.2. Stock Markets
20.3.3. Commodities
20.3.4. Bonds
20.3.5. Cryptocurrency

21. Middle East & Africa Algorithmic Trading Market Analysis and Forecast
21.1. Key Findings
21.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
21.2.1. Software
21.2.1.1. On-Premise
21.2.1.2. Cloud
21.2.1.2.1. Private Cloud
21.2.1.2.2. Public Cloud
21.2.1.3. Hybrid
21.2.2. Services
21.2.2.1. Managed Services
21.2.2.2. Professional Services (Maintenance, Integration, Consulting)
21.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
21.3.1. Forex
21.3.2. Stock Markets
21.3.3. Commodities
21.3.4. Bonds
21.3.5. Cryptocurrency
21.4. Market Size (US$ Mn) Forecast By Country, 2016-2026
21.4.1. GCC Countries
21.4.2. South Africa
21.4.3. Rest of MEA

22. South America Algorithmic Trading Market Analysis and Forecast
22.1. Key Findings
22.2. Market Size (US$ Mn) Forecast By Components, 2016-2026
22.2.1. Software
22.2.1.1. On-Premise
22.2.1.2. Cloud
22.2.1.2.1. Private Cloud
22.2.1.2.2. Public Cloud
22.2.1.3. Hybrid
22.2.2. Services
22.2.2.1. Managed Services
22.2.2.2. Professional Services (Maintenance, Integration, Consulting)
22.3. Market Size (US$ Mn) Forecast By Trading Type, 2016-2026
22.3.1. Forex
22.3.2. Stock Markets
22.3.3. Commodities
22.3.4. Bonds
22.3.5. Cryptocurrency
22.4. Market Size (US$ Mn) Forecast By Country, 2016-2026
22.4.1. Brazil
22.4.2. Rest of South America

23. Competition Landscape
23.1. Market Player - Competition Matrix
23.2. Market Revenue Share Analysis (%), By Company (2017)
23.3. Regional Presence (Intensity Map)

24. Company Profiles(Details - Basic Overview, Sales Area/Geographical Presence, Revenue, Strategy, Recent Developments)
24.1. Thomson Reuters Corporation
24.1.1. Company Overview
24.1.2. Recent Development
24.1.3. Financial Overview
24.1.4. Strategy
24.2. Argo Software Engineering, Inc.
24.2.1. Company Overview
24.2.2. Recent Development
24.2.3. Financial Overview
24.2.4. Strategy
24.3. Automated Trading SoftTech Pvt. Ltd.
24.3.1. Company Overview
24.3.2. Recent Development
24.3.3. Financial Overview
24.3.4. Strategy
24.4. InfoReach, Inc.
24.4.1. Company Overview
24.4.2. Recent Development
24.4.3. Financial Overview
24.4.4. Strategy
24.5. Kuberre Systems
24.5.1. Company Overview
24.5.2. Recent Development
24.5.3. Financial Overview
24.5.4. Strategy
24.6. MetaQuotes Software Corp.
24.6.1. Company Overview
24.6.2. Recent Development
24.6.3. Financial Overview
24.6.4. Strategy
24.7. Vela Trading Systems LLC (OptionsCity Software, Inc.)
24.7.1. Company Overview
24.7.2. Recent Development
24.7.3. Financial Overview
24.7.4. Strategy
24.8. uTrade
24.8.1. Company Overview
24.8.2. Recent Development
24.8.3. Financial Overview
24.8.4. Strategy
24.9. Software AG
24.9.1. Company Overview
24.9.2. Recent Development
24.9.3. Financial Overview
24.9.4. Strategy
24.10. Trading Technologies International, Inc.
24.10.1. Company Overview
24.10.2. Recent Development
24.10.3. Financial Overview
24.10.4. Strategy

25. Key Takeaways
Note: Product cover images may vary from those shown
Adroll
adroll