Algorithmic Trading Market - Snapshot

Algorithmic trading is a process of using an automated computer programed to follow a defined set of trading instructions for placing a trade, accounting for factors such as time, price, and volume. Algorithmic trading or algo trading is a technology platform providing advantage of both artificial intelligence and human intelligence. Algorithmic trading helps in reducing transaction costs, allowing investment managers to take control of their own trading procedures. The main objective of such software is not just to maximize profits but also to control market risk and execution costs. The market for algorithmic trading is forecasted to grow to US$ 21,807.6Mn by 2026, recording a CAGR of 10.2%.

End users and prospective adopters are attracted to the several benefits that algorithmic trading over manual ones. Faster execution, less risk of errors, concurrent focus on several market conditions are some of the key benefits which is evident in high-frequency trading (HFT). In addition, adopters have been able to backtest their tradition system. Most importantly, the popularity of products in the algorithmic trading market has stemmed from the fact that it has been successful in taking more rationalized decision, the reason having to do with stripping the decisions of human emotions. Post the economic recession of 2008, rules-based decision-making was internalized in algorithmic trading strategies. Rise in different forms of trading has made people look toward the advantages of algorithmic trading. A slew of new strategies have emerged in the market attracting the attention of investment firms and traders of all size.

Key strategies in the marketplace include trend-following strategies, arbitrage opportunities, index fund rebalancing, and mathematical model-based strategies. However, some genuine concerns are worrying end users and market players. Since, a large part of the trading process is automated, this removes any scope of applying discretion in making choices, a key pillar of economic and financial decision-making. Moreover, system issues, such as power losses and connectivity problems, need to be constantly monitored so as to prevent any huge crash. Also, the need for high-end resources might hurt cost-sensitive consumers in the algorithmic trading market.

Moreover, there is a lack of agreement among regulators on how the algorithmic trading must be adopted and monitored, leading to some serious snags for adopters and industry players in the market. Moreover, since there always exist the possibility of irrationality in economic models, at times this type of trading may fall short. In the times of Covid-19 customer sentiment has reached an all-time low, hampering the prospect of substantive spending. This has also hurt the prospects of the algorithmic trading market. Nonetheless, last few months have also seen improvement in overall consumer spending, which will add momentum to the market.

algorithmic trading market

The algorithm trading market has experienced substantial growth due to large number of financial firms opting for increasing automation in trading processes. Integrated financial markets or an open market economy such as the European Union helps local vendors in buying foreign assets with reduced risks. Contribution of several international markets has aided developing countries in generating opportunities for portfolio diversification, global distribution of savings, and also risk sharing.

The algorithmic trading market is driven by the emergence of AI and algorithms in the financial service sector. This in turn is boosting the algorithmic trading sector globally. Furthermore, increasing adoption of non-equity trading algorithms by institutional asset managers is enhancing the use of artificial intelligence in the financial services sector. The global algorithmic trading market is anticipated to grow significantly during the forecast period, attributed to rapidly growing demand for market surveillance. By using market surveillance technology, traders are able to keep track of their trading activities and investment pattern.The rising need to build an economy with global as well as regional interdependencies force key vendors to formulate effective marketing strategies and develop new solutions for market surveillance. In addition, many companies are inclined toward the use of algorithmic trading in order to reduce market risks and transaction cost.

However, stringent regulatory guidelines are affecting the large-scale use of algorithmic trading. To conduct algorithmic trading and high frequency trading (HFT), all trading companies should inform the national regulatory authority and submit an application for approval from the regulatory authority.The regulatory environment for algorithmic trading and HFT practices are not favorable in some of the major countries such as China. There are barriers to the widespread application of automated trading, specifically for high frequency trading in financial markets across the country. This is consequently restricting the growth of the algorithmic trading market across the Asia Pacific region, as China is one of the major markets for the stock exchange.

A key trend boosting market growth is the growing adoption of cloud based solutions. The technology is gaining popularity in capital markets due to its flexibility, scalability, cost-effectiveness, and massive processing power. Presently, capital markets and financial institutions are unceasingly adopting cloud-based applications in order to enhance their efficiency and productivity as well as providing better custom applications and security to their customers.

The algorithmic trading market is segmented on the basis of components and trading type. Based on components, the market is segmented into 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.

From a geographical standpoint, North America is expected to hold a major share in the algorithmic trading market.Growth in this region is attributed to strong adoption and penetration of algorithmic trading platform, software and services, as well as considerable application of algorithm trading in different end-user segments across the region. Developed markets and emerging markets have embraced this technology in the securities market. Asia Pacific region is expected to witness lucrative growth due to rising adoption of such software from countries such as India, Japan, Philippines, and Singapore. Furthermore, the markets in Middle East and Africa (MEA) and South America regions are also expected to grow significantly during the forecast period.

Growing awareness and adoption of algorithmic trading across Asia Pacific and South America is offering new opportunities for key players operating in the global algorithmic trading market. The algorithmic commodity market in India is expected to expand at a faster pace during the forecast period, owing to SEBI’s efforts to ease algo trade rules in the commodity market. In April 2018, SEBI raised the limit of orders that can be processed per second by a user from 20 orders per second to 100 orders per second.

Attracted by this fast expanding market, underlying technological advancements, and rising trend of algorithmic trading, many players are driven to develop comprehensive suites of software and services for all trading types. Existing software providers are rapidly expanding their distribution network in order to reach the most distant customers.Some of the key players profiled in the algorithmic trading market report include Trading Technologies International, Inc., Argo Software Engineering, Inc., Automated Trading SoftTech Pvt. Ltd., InfoReach, Inc., Kuberre Systems, MetaQuotes Software Corp., Software AG, Thomson Reuters Corporation, uTrade, and Vela Trading Systems LLC (OptionsCity Software, Inc.).

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

by Geography

  • 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

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

List of Tables

Table 1:Volume of Contracts Traded Globally for Futures and Options
Table 2: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 3: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 4: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 5: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 6: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 7: Global Algorithmic Trading Market Size (US$ Mn) Forecast, by Region, 2016 – 2026
Table 8: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 9: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 10: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 11: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 12: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 13: North America Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026
Table 14: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 15: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 16: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 17: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 18: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 19: Europe Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026
Table 20: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 21: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 22: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 23: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 24: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 25: Asia Pacific Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026
Table 26: ASEAN Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026
Table 27: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 28: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 29: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 30: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 31: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 32: China Algorithmic Trading Market Size (US$ Mn) Forecast, by Sub-region, 2016 – 2026
Table 33: India Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 34: India Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 35: India Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 36: India Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 37: India Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 38: Japan Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 39: Japan Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 40: Japan Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 41: Japan Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 42: Japan Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 43: Australia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 44: Australia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 45: Australia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 46: Australia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 47: Australia Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 48: South Korea Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 49: South Korea Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 50: South Korea Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 51: South Korea Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 52: South Korea Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 53: Indonesia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 54: Indonesia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 55: Indonesia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 56: Indonesia Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 57: Singapore Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 58: Singapore Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 59: Singapore Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 60: Singapore Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 61: Singapore Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 62: Philippines Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 63: Philippines Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 64: Philippines Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 65: Philippines Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 66: Philippines Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 67: Malaysia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 68: Malaysia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 69: Malaysia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 70: Malaysia Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 71: Malaysia Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 72: Thailand Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 73: Thailand Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 74: Thailand Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 75: Thailand Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 76: Thailand Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 77: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 78: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 79: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 80: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 81: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 82: MEA Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026
Table 83: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, 2016 – 2026
Table 84: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, 2016 – 2026
Table 85: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Software, Cloud, 2016 – 2026
Table 86: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Components, Services, 2016 – 2026
Table 87: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Trading Type, 2016 – 2026
Table 88: South America Algorithmic Trading Market Size (US$ Mn) Forecast, by Country, 2016 – 2026

List of Figures

Figure 1: Algorithmic Trading Market: Global Industry Analysis, Size, Share, Growth, Trends and Forecasts, 2018 – 2026
Figure 2: Global Algorithmic Trading Market Value (US$) Opportunity Assessment, by Trading Type, 2018E
Figure 3: Global Algorithmic Trading Market Value (US$) Opportunity Assessment, by Trading Type, 2026F
Figure 4: Top Segment Analysis
Figure 5: Global Algorithmic Trading Market Value (US$) Opportunity Assessment, by Region, 2018E
Figure 6: Global Algorithmic Trading Market Value (US$) Opportunity Assessment, by Region, 2026F
Figure 7: North America Market Growth
Figure 8: North America Algorithmic Trading Market Share Analysis, By Component, 2017
Figure 9: North America Algorithmic Trading Market Share Analysis, By Trading Type, 2017
Figure 10: Europe Market Growth
Figure 11: Europe Algorithmic Trading Market Share Analysis, By Component, 2017
Figure 12: Europe Algorithmic Trading Market Share Analysis, By Trading Type, 2017
Figure 13: Asia Pacific Market Growth
Figure 14: Asia Pacific Algorithmic Trading Market Share Analysis, By Component, 2017
Figure 15: Asia Pacific Algorithmic Trading Market Share Analysis, By Trading Type, 2017
Figure 16: MEA Market Growth
Figure 17: MEA Algorithmic Trading Market Share Analysis, By Component, 2017
Figure 18: MEA Algorithmic Trading Market Share Analysis, By Trading Type, 2017
Figure 19: South America Market Growth
Figure 20: South America Algorithmic Trading Market Share Analysis, By Component, 2017
Figure 21: South America Algorithmic Trading Market Share Analysis, By Trading Type, 2017
Figure 22: Gross Domestic Product (GDP) per Capita; Analysis (1/2) (US$ Tn), By Major Countries, 2011-2016
Figure 23: Gross Domestic Product (GDP) Analysis (2/2) (US$ Tn), By Major Countries, 2011-2016
Figure 24: Global Algorithmic Trading Market Size (US$ Mn) and Forecast, 2012 – 2026
Figure 25: Global Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 26: North America Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 27: North America Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 28: North America Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 29: Europe Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 30: Europe Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 31: Europe Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 32: Asia Pacific Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 33: Asia Pacific Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 34: Asia Pacific Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 35: ASEAN Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 36: ASEAN Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 37:  ASEAN Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 38: MEA Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 39: MEA Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 40: MEA Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 41: South America Algorithmic Trading Market Attractiveness Analysis, by Component, (2018)
Figure 42: South America Algorithmic Trading Market Attractiveness Analysis, by Trading Type, (2018)
Figure 43: South America Algorithmic Trading Market Attractiveness Analysis, by Country, (2018)
Figure 45: Global Algorithmic Trading Market Value Share (Value %), by Component, 2018
Figure 44: Global Algorithmic Trading Market Value Share (Value %), by Country, 2018
Figure 46: Global Algorithmic Trading Market Value Share (Value %), by Trading Type, 2018
Figure 47: Global Algorithmic Trading Market Analysis and Forecast, by Component
Figure 48: Global Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 49: Global Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 50: Global Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 51: Global Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 52: Global Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 53: Global Algorithmic Trading Market Share Analysis, by Region (2018)
Figure 54: Global Algorithmic Trading Market Share Analysis, by Region (2026)
Figure 55: North America Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 56: North America Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 57: North America Algorithmic Trading Market Analysis and Forecast, by Component
Figure 58: North America Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 59: North America Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 60: North America Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 61: North America Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 62: North America Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 63: North America Algorithmic Trading Market Share Analysis, by Country (2018)
Figure 64: North America Algorithmic Trading Market Share Analysis, by Country (2026)
Figure 65: Europe Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 66: Europe Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 67: Europe Algorithmic Trading Market Analysis and Forecast, by Component
Figure 68: Europe Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 69: Europe Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 70: Europe Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 71: Europe Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 72: Europe Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 73: Europe Algorithmic Trading Market Share Analysis, by Country (2018)
Figure 74: Europe Algorithmic Trading Market Share Analysis, by Country (2026)
Figure 75: Asia Pacific Algorithmic Trading Market Analysis and Forecast, by Component
Figure 76: Asia Pacific Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 77: Asia Pacific Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 78: Asia Pacific Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 79: Asia Pacific Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 80: Asia Pacific Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 81: Asia Pacific Algorithmic Trading Market Share Analysis, by Country (2018)
Figure 82: Asia Pacific Algorithmic Trading Market Share Analysis, by Country (2026)
Figure 83: China Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 84: China Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 85: China Algorithmic Trading Market Analysis and Forecast, by Component
Figure 86: China Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 87: China Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 88: China Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 89: China Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 90: China Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 91: India Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 92: India Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 93: India Algorithmic Trading Market Analysis and Forecast, by Component
Figure 94: India Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 95: India Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 96: India Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 97: India Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 98: India Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 99: Japan Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 100: Japan Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 101: Japan Algorithmic Trading Market Analysis and Forecast, by Component
Figure 102: Japan Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 103: Japan Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 104: Japan Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 105: Japan Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 106: Japan Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 107: Australia Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 108: Australia Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 109: Australia Algorithmic Trading Market Analysis and Forecast, by Component
Figure 110: Australia Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 111: Australia Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 112: Australia Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 113: Australia Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 114: Australia Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 115: South Korea Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 116: South Korea Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 117: South Korea Algorithmic Trading Market Analysis and Forecast, by Component
Figure 118: South Korea Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 119: South Korea Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 120: South Korea Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 121: South Korea Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 122: South Korea Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 123: Indonesia Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 124: Indonesia Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 125: Indonesia Algorithmic Trading Market Analysis and Forecast, by Component
Figure 126: Indonesia Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 127: Indonesia Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 128: Indonesia Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 129: Indonesia Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 130: Indonesia Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 131: Singapore Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 132: Singapore Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 133: Singapore Algorithmic Trading Market Analysis and Forecast, by Component
Figure 134: Singapore Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 135: Singapore Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 136: Singapore Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 137: Singapore Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 138: Singapore Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 139: Philippines Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 140: Philippines Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 141: Philippines Algorithmic Trading Market Analysis and Forecast, by Component
Figure 142: Philippines Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 143: Philippines Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 144: Philippines Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 145: Philippines Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 146: Philippines Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 147: Malaysia Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 148: Malaysia Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 149: Malaysia Algorithmic Trading Market Analysis and Forecast, by Component
Figure 150: Malaysia Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 151: Malaysia Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 152: Malaysia Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 153: Malaysia Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 154: Malaysia Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 155: Thailand Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 156: Thailand Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 157: Thailand Algorithmic Trading Market Analysis and Forecast, by Component
Figure 158: Thailand Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 159: Thailand Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 160: Thailand Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 161: Thailand Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 162: Thailand Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 163: MEA Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 164: MEA Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 165: MEA Algorithmic Trading Market Analysis and Forecast, by Component
Figure 166: MEA Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 167: MEA Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 168: MEA Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 169: MEA Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 170: MEA Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 171: MEA Algorithmic Trading Market Share Analysis, by Country (2018)
Figure 172: MEA Algorithmic Trading Market Share Analysis, by Country (2026)
Figure 173: South America Algorithmic Trading Market Size (US$ Mn) and Forecast, 2016 – 2026
Figure 174: South America Algorithmic Trading Market Opportunity Analysis, 2016 – 2026
Figure 175: South America Algorithmic Trading Market Analysis and Forecast, by Component
Figure 176: South America Algorithmic Trading Market Analysis and Forecast, by Component, Software
Figure 177: South America Algorithmic Trading Market Analysis and Forecast, by Component, Services
Figure 178: South America Algorithmic Trading Market Analysis and Forecast, by Component, Software, Cloud
Figure 179: South America Algorithmic Trading Market Share Analysis, by Trading Type (2018)
Figure 180: South America Algorithmic Trading Market Share Analysis, by Trading Type (2026)
Figure 181: South America Algorithmic Trading Market Share Analysis, by Country (2018)
Figure 182: South America Algorithmic Trading Market Share Analysis, by Country (2026)

Custom Market Research Services

TMR offers custom market research services that help clients to get information on their business scenario required where syndicated solutions are not enough.

Request Customization

Algorithmic Trading Market