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Global Algorithmic Trading Market By Component, By Traders Type, By Deployment Type, By Type, By Regional Outlook, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027

  • ID: 5387543
  • Report
  • June 2021
  • Region: Global
  • 256 pages
  • Marqual IT Solutions Pvt. Ltd (KBV Research)

FEATURED COMPANIES

  • Argo SE, Inc.
  • Kuberre Systems, Inc.
  • MetaQuotes Ltd.
  • Software AG
  • Tethys Technology, Inc.
  • Vela Trading Systems LLC
  • MORE
The Global Algorithmic Trading Market size is expected to reach $26.7 billion by 2027, rising at a market growth of 11.7% CAGR during the forecast period. Algorithmic trading is also called as automated trading. It is a form of automation that uses computer programs to accomplish a defined set of rules and instructions that comprises the buying or selling of an asset with respect to the varying market data. These defined sets of rules and instructions are mainly based on quantity, price, timing, or any mathematical model. It provides numerous benefits to market participants like it executes trades at the best likely prices; trades timed correctly, simultaneous automated checks on multiple market conditions; and minimal transaction costs owing to low amount of human intervention.

The algorithm trading market is experiencing a considerable growth rate due to the growing automation process in trading by numerous firms. Integrated financial markets are helpful for the local vendors in buying foreign assets that have reduced risks. The involvement of different international algorithm trading markets is focused on the global distribution of savings. It is helping the countries in developing more opportunities for risk-sharing and portfolio diversification.


Some of the catalysts for the growth of the global algorithmic trading market include favorable government regulations, rising demand for reliable, fast, and efficient order execution, rising demand for market surveillance, and reducing transaction costs. Big brokerage houses and institutional investors use algorithmic trading to minimize the costs related to bulk trading. Moreover, the appearance of AI in the financial service sector is likely to be a key factor in the growth of the algorithmic trading market. Regulators are also noting the ways through which individuals interact with the market owing to the constant developments in the AI.

COVID Impact Analysis
The outbreak of the global COVID-19 pandemic has affected each sector of society. The adoption of algorithmic trading solutions has surged due to the pandemic situation. This pandemic has substantially propelled the growth rate of the algorithmic trading market because there is a shifting preference of the companies towards Algo trading for making the decisions quickly by minimizing human errors. For example, the Reserve Bank of Australia, in its publication said that the Covid-19 pandemic has accelerated the industrial shift toward electronic trading.

Component Outlook

Based on Component, the market is segmented into Solution and Services. The key market players are launching improved algorithmic trading solutions to deliver the different needs of their customers. For example, BNP Paribas, in September 2019, launched the latest FX trading platform featuring real-time analytics & interactive algorithms. Though, the services segment is projected to acquire the highest growth, owing to the huge adoption of professional services by the end-users, since it facilitates efficient functioning of algorithmic trading solutions across the process.



Traders Type Outlook

Based on Traders Type, the market is segmented into Institutional Investors, Long-Term Traders, Short-Term Traders and Others. Institutional investors are insurance companies, hedge funds, banks, credit unions, investment advisors, and mutual funds companies. It helps in increasing money to purchase securities, real estate, or any other types of investment assets. Institutional investors daily exploit numerous computer-driven algorithmic strategies in the constantly changing trading markets.

Deployment Type Outlook

Based on Deployment Type, the market is segmented into Cloud and On-premise. On the basis of deployment mode, the cloud segment dominated the global algorithmic trading market in 2020. It is also estimated to continue this trend during the forecast period owing to the rising adoption of cloud-based applications by financial institutions to improve their productivity & efficiency.

Type Outlook

Based on Type, the market is segmented into Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others. On the basis of type, the stock markets segment acquired the highest growth in the algorithmic trading market in 2020 and is estimated to continue its dominance during the forecast period. It is owing to the deployment of algorithmic trading solutions by investors to carry out trade stocks since it runs by a computer program without a requirement for human interference.

Regional Outlook

Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. Asia Pacific is anticipated to register the highest growth rate over the forecast period. This growth is attributed to the high investments by public & private sectors to improve their trading technologies, and thus, propelling the demand for algorithmic trading solutions to automate trading procedures. Moreover, the quick expansion of algorithmic trading market players is expected to open new growth avenues for the growth of the market.


The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix; Tata Consultancy Services Ltd. is the major forerunner in the Algorithmic Trading Market. Companies such as Vela Trading Systems LLC, Trading Technologies International, Inc., and Thomson Reuters Corporation are some of the key innovators in the market.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Software AG, Tata Consultancy Services Ltd., Thomson Reuters Corporation (The Woodbridge Company), Argo SE, Inc., MetaQuotes Ltd., Symphony Fintech Solutions Private Limited, Kuberre Systems, Inc., Trading Technologies International, Inc., Vela Trading Systems LLC, and Tethys Technology, Inc.

Recent strategies deployed in Algorithmic Trading Market

Partnerships, Collaborations, and Agreements:

May-2021: Trading Technologies came into partnership with CloudQuant (CQ), a premier vendor of alternative data (AltData), artificial intelligence, and data integration technologies. Under this partnership, the former company engaged the latter company for advising on the development of the latest data business unit and exploring the delivery of data advisory services & AltData via the TT platform to TT’s global customer base.

Mar-2021: Symphony joined hands with AccessFintech, a provider of risk management service for banks and buy-side firms, and tracks the trade lifecycle. In this collaboration, Symphony’s collaboration & communication platform is expected to integrate with AccessFintech’s data management & workflow network solution to accelerate the resolution of discrepancies like mismatches and trade fails in the post-trade environment.

Oct-2020: Trading Technologies signed an agreement with Applied Derivatives Pty. Ltd., a leading securities trading and brokerage firm. In this agreement, Applied Derivatives became the first broker to distribute the TT platform from South Africa. In addition, Applied Derivatives is also offering international customers’ access to the Johannesburg Stock Exchange (JSE) for the trading of all equity & currency derivatives that include futures and options, listed on the JSE Derivatives Market.

Oct-2020: Trading Technologies came into an agreement with Xinhu Futures, an international provider of futures brokerage, investment consulting, and asset management services. This agreement aimed to offer access to the Chinese international derivatives markets via the TT platform.

Jul-2020: Trading Technologies entered into a multi-year agreement with the Institutional Services division (IS) of TP ICAP, the world’s largest interdealer broker. This agreement focused on replacing 85 trading screens in Paris, London, and New York with TT’s TT Pro trading screen, and TT ICAP is expected to use TT’s latest Order Management System (OMS) solution.

Product Launches and Product Expansions:

Jun-2021: Vela introduced the new updates on their automated trading platform, Metro. The addition of two latest algos to the Metro Store Front: a Realized Futures Volatility Calculator and the latest Underlying Offset Controller application developed for oil & index options trading. Moreover, there are some latest features added to the prevailing Store Front algos. Now, The Dynamic Skew App supports Delta as a Point Type, and the Volatility Levels provides performance statistics of individual trades and monitor volatility metrics for butterfly spreads.

Dec-2020: Vela introduced execution services for US Equities and Equity Options. These latest execution capabilities are accessible on Vela’s low-latency DMA Platform and also its automated trading & market-making front-end, Metro. Market access is provided via ED&F Man Capital Markets; Chicago-based GalNet Asset Management is the foremost customer live on Metro with order routing through ED&F Man Capital Markets.

Jul-2020: Tata Consultancy Services unveiled a cryptocurrency trading platform called Quartz Smart Solution for banks and investments. This platform supports various cryptocurrencies, digital coins connected to fiat currencies, digital assets, trading channels, and public blockchain networks, thus providing a choice and flexibility to users in their trading & investment strategies.

Scope of the Study

Market Segments covered in the Report:

By Component
  • Solution
  • Services
By Traders Type
  • Institutional Investors
  • Long-Term Traders
  • Short-Term Traders
  • Others
By Deployment Type
  • Cloud
  • On-premise
By Type
  • Stock Markets
  • FOREX
  • ETF
  • Bonds
  • Cryptocurrencies
  • Others
By Geography
  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA
Companies Profiled
  • Software AG
  • Tata Consultancy Services Ltd.
  • Thomson Reuters Corporation (The Woodbridge Company)
  • Argo SE, Inc.
  • MetaQuotes Ltd.
  • Symphony Fintech Solutions Private Limited
  • Kuberre Systems, Inc.
  • Trading Technologies International, Inc.
  • Vela Trading Systems LLC
  • Tethys Technology, Inc.
Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • Argo SE, Inc.
  • Kuberre Systems, Inc.
  • MetaQuotes Ltd.
  • Software AG
  • Tethys Technology, Inc.
  • Vela Trading Systems LLC
  • MORE
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Algorithmic Trading Market, by Component
1.4.2 Global Algorithmic Trading Market, by Traders Type
1.4.3 Global Algorithmic Trading Market, by Deployment Type
1.4.4 Global Algorithmic Trading Market, by Type
1.4.5 Global Algorithmic Trading Market, by Geography
1.5 Methodology for the research

Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints

Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)

Chapter 4. Global Algorithmic Trading Market by Component
4.1 Global Algorithmic Trading Solution Market by Region
4.2 Global Algorithmic Trading Services Market by Region

Chapter 5. Global Algorithmic Trading Market by Traders Type
5.1 Global Algorithmic Trading Institutional Investors Market by Region
5.2 Global Algorithmic Trading Long-Term Traders Market by Region
5.3 Global Algorithmic Trading Short-Term Traders Market by Region
5.4 Global Other Traders Type Algorithmic Trading Market by Region

Chapter 6. Global Algorithmic Trading Market by Deployment Type
6.1 Global Cloud Algorithmic Trading Market by Region
6.2 Global On-premise Algorithmic Trading Market by Region

Chapter 7. Global Algorithmic Trading Market by Type
7.1 Global Stock Markets Algorithmic Trading Market by Region
7.2 Global FOREX Algorithmic Trading Market by Region
7.3 Global ETF Algorithmic Trading Market by Region
7.4 Global Bonds Algorithmic Trading Market by Region
7.5 Global Cryptocurrencies Algorithmic Trading Market by Region
7.6 Global Others Algorithmic Trading Market by Region

Chapter 8. Global Algorithmic Trading Market by Region
8.1 North America Algorithmic Trading Market
8.1.1 North America Algorithmic Trading Market by Component
8.1.1.1 North America Algorithmic Trading Solution Market by Country
8.1.1.2 North America Algorithmic Trading Services Market by Country
8.1.2 North America Algorithmic Trading Market by Traders Type
8.1.2.1 North America Algorithmic Trading Institutional Investors Market by Country
8.1.2.2 North America Algorithmic Trading Long-Term Traders Market by Country
8.1.2.3 North America Algorithmic Trading Short-Term Traders Market by Country
8.1.2.4 North America Other Traders Type Algorithmic Trading Market by Country
8.1.3 North America Algorithmic Trading Market by Deployment Type
8.1.3.1 North America Cloud Algorithmic Trading Market by Country
8.1.3.2 North America On-premise Algorithmic Trading Market by Country
8.1.4 North America Algorithmic Trading Market by Type
8.1.4.1 North America Stock Markets Algorithmic Trading Market by Country
8.1.4.2 North America FOREX Algorithmic Trading Market by Country
8.1.4.3 North America ETF Algorithmic Trading Market by Country
8.1.4.4 North America Bonds Algorithmic Trading Market by Country
8.1.4.5 North America Cryptocurrencies Algorithmic Trading Market by Country
8.1.4.6 North America Others Algorithmic Trading Market by Country
8.1.5 North America Algorithmic Trading Market by Country
8.1.5.1 US Algorithmic Trading Market
8.1.5.1.1 US Algorithmic Trading Market by Component
8.1.5.1.2 US Algorithmic Trading Market by Traders Type
8.1.5.1.3 US Algorithmic Trading Market by Deployment Type
8.1.5.1.4 US Algorithmic Trading Market by Type
8.1.5.2 Canada Algorithmic Trading Market
8.1.5.2.1 Canada Algorithmic Trading Market by Component
8.1.5.2.2 Canada Algorithmic Trading Market by Traders Type
8.1.5.2.3 Canada Algorithmic Trading Market by Deployment Type
8.1.5.2.4 Canada Algorithmic Trading Market by Type
8.1.5.3 Mexico Algorithmic Trading Market
8.1.5.3.1 Mexico Algorithmic Trading Market by Component
8.1.5.3.2 Mexico Algorithmic Trading Market by Traders Type
8.1.5.3.3 Mexico Algorithmic Trading Market by Deployment Type
8.1.5.3.4 Mexico Algorithmic Trading Market by Type
8.1.5.4 Rest of North America Algorithmic Trading Market
8.1.5.4.1 Rest of North America Algorithmic Trading Market by Component
8.1.5.4.2 Rest of North America Algorithmic Trading Market by Traders Type
8.1.5.4.3 Rest of North America Algorithmic Trading Market by Deployment Type
8.1.5.4.4 Rest of North America Algorithmic Trading Market by Type
8.2 Europe Algorithmic Trading Market
8.2.1 Europe Algorithmic Trading Market by Component
8.2.1.1 Europe Algorithmic Trading Solution Market by Country
8.2.1.2 Europe Algorithmic Trading Services Market by Country
8.2.2 Europe Algorithmic Trading Market by Traders Type
8.2.2.1 Europe Algorithmic Trading Institutional Investors Market by Country
8.2.2.2 Europe Algorithmic Trading Long-Term Traders Market by Country
8.2.2.3 Europe Algorithmic Trading Short-Term Traders Market by Country
8.2.2.4 Europe Other Traders Type Algorithmic Trading Market by Country
8.2.3 Europe Algorithmic Trading Market by Deployment Type
8.2.3.1 Europe Cloud Algorithmic Trading Market by Country
8.2.3.2 Europe On-premise Algorithmic Trading Market by Country
8.2.4 Europe Algorithmic Trading Market by Type
8.2.4.1 Europe Stock Markets Algorithmic Trading Market by Country
8.2.4.2 Europe FOREX Algorithmic Trading Market by Country
8.2.4.3 Europe ETF Algorithmic Trading Market by Country
8.2.4.4 Europe Bonds Algorithmic Trading Market by Country
8.2.4.5 Europe Cryptocurrencies Algorithmic Trading Market by Country
8.2.4.6 Europe Others Algorithmic Trading Market by Country
8.2.5 Europe Algorithmic Trading Market by Country
8.2.5.1 Germany Algorithmic Trading Market
8.2.5.1.1 Germany Algorithmic Trading Market by Component
8.2.5.1.2 Germany Algorithmic Trading Market by Traders Type
8.2.5.1.3 Germany Algorithmic Trading Market by Deployment Type
8.2.5.1.4 Germany Algorithmic Trading Market by Type
8.2.5.2 UK Algorithmic Trading Market
8.2.5.2.1 UK Algorithmic Trading Market by Component
8.2.5.2.2 UK Algorithmic Trading Market by Traders Type
8.2.5.2.3 UK Algorithmic Trading Market by Deployment Type
8.2.5.2.4 UK Algorithmic Trading Market by Type
8.2.5.3 France Algorithmic Trading Market
8.2.5.3.1 France Algorithmic Trading Market by Component
8.2.5.3.2 France Algorithmic Trading Market by Traders Type
8.2.5.3.3 France Algorithmic Trading Market by Deployment Type
8.2.5.3.4 France Algorithmic Trading Market by Type
8.2.5.4 Russia Algorithmic Trading Market
8.2.5.4.1 Russia Algorithmic Trading Market by Component
8.2.5.4.2 Russia Algorithmic Trading Market by Traders Type
8.2.5.4.3 Russia Algorithmic Trading Market by Deployment Type
8.2.5.4.4 Russia Algorithmic Trading Market by Type
8.2.5.5 Spain Algorithmic Trading Market
8.2.5.5.1 Spain Algorithmic Trading Market by Component
8.2.5.5.2 Spain Algorithmic Trading Market by Traders Type
8.2.5.5.3 Spain Algorithmic Trading Market by Deployment Type
8.2.5.5.4 Spain Algorithmic Trading Market by Type
8.2.5.6 Italy Algorithmic Trading Market
8.2.5.6.1 Italy Algorithmic Trading Market by Component
8.2.5.6.2 Italy Algorithmic Trading Market by Traders Type
8.2.5.6.3 Italy Algorithmic Trading Market by Deployment Type
8.2.5.6.4 Italy Algorithmic Trading Market by Type
8.2.5.7 Rest of Europe Algorithmic Trading Market
8.2.5.7.1 Rest of Europe Algorithmic Trading Market by Component
8.2.5.7.2 Rest of Europe Algorithmic Trading Market by Traders Type
8.2.5.7.3 Rest of Europe Algorithmic Trading Market by Deployment Type
8.2.5.7.4 Rest of Europe Algorithmic Trading Market by Type
8.3 Asia Pacific Algorithmic Trading Market
8.3.1 Asia Pacific Algorithmic Trading Market by Component
8.3.1.1 Asia Pacific Algorithmic Trading Solution Market by Country
8.3.1.2 Asia Pacific Algorithmic Trading Services Market by Country
8.3.2 Asia Pacific Algorithmic Trading Market by Traders Type
8.3.2.1 Asia Pacific Algorithmic Trading Institutional Investors Market by Country
8.3.2.2 Asia Pacific Algorithmic Trading Long-Term Traders Market by Country
8.3.2.3 Asia Pacific Algorithmic Trading Short-Term Traders Market by Country
8.3.2.4 Asia Pacific Other Traders Type Algorithmic Trading Market by Country
8.3.3 Asia Pacific Algorithmic Trading Market by Deployment Type
8.3.3.1 Asia Pacific Cloud Algorithmic Trading Market by Country
8.3.3.2 Asia Pacific On-premise Algorithmic Trading Market by Country
8.3.4 Asia Pacific Algorithmic Trading Market by Type
8.3.4.1 Asia Pacific Stock Markets Algorithmic Trading Market by Country
8.3.4.2 Asia Pacific FOREX Algorithmic Trading Market by Country
8.3.4.3 Asia Pacific ETF Algorithmic Trading Market by Country
8.3.4.4 Asia Pacific Bonds Algorithmic Trading Market by Country
8.3.4.5 Asia Pacific Cryptocurrencies Algorithmic Trading Market by Country
8.3.4.6 Asia Pacific Others Algorithmic Trading Market by Country
8.3.5 Asia Pacific Algorithmic Trading Market by Country
8.3.5.1 China Algorithmic Trading Market
8.3.5.1.1 China Algorithmic Trading Market by Component
8.3.5.1.2 China Algorithmic Trading Market by Traders Type
8.3.5.1.3 China Algorithmic Trading Market by Deployment Type
8.3.5.1.4 China Algorithmic Trading Market by Type
8.3.5.2 Japan Algorithmic Trading Market
8.3.5.2.1 Japan Algorithmic Trading Market by Component
8.3.5.2.2 Japan Algorithmic Trading Market by Traders Type
8.3.5.2.3 Japan Algorithmic Trading Market by Deployment Type
8.3.5.2.4 Japan Algorithmic Trading Market by Type
8.3.5.3 India Algorithmic Trading Market
8.3.5.3.1 India Algorithmic Trading Market by Component
8.3.5.3.2 India Algorithmic Trading Market by Traders Type
8.3.5.3.3 India Algorithmic Trading Market by Deployment Type
8.3.5.3.4 India Algorithmic Trading Market by Type
8.3.5.4 South Korea Algorithmic Trading Market
8.3.5.4.1 South Korea Algorithmic Trading Market by Component
8.3.5.4.2 South Korea Algorithmic Trading Market by Traders Type
8.3.5.4.3 South Korea Algorithmic Trading Market by Deployment Type
8.3.5.4.4 South Korea Algorithmic Trading Market by Type
8.3.5.5 Singapore Algorithmic Trading Market
8.3.5.5.1 Singapore Algorithmic Trading Market by Component
8.3.5.5.2 Singapore Algorithmic Trading Market by Traders Type
8.3.5.5.3 Singapore Algorithmic Trading Market by Deployment Type
8.3.5.5.4 Singapore Algorithmic Trading Market by Type
8.3.5.6 Malaysia Algorithmic Trading Market
8.3.5.6.1 Malaysia Algorithmic Trading Market by Component
8.3.5.6.2 Malaysia Algorithmic Trading Market by Traders Type
8.3.5.6.3 Malaysia Algorithmic Trading Market by Deployment Type
8.3.5.6.4 Malaysia Algorithmic Trading Market by Type
8.3.5.7 Rest of Asia Pacific Algorithmic Trading Market
8.3.5.7.1 Rest of Asia Pacific Algorithmic Trading Market by Component
8.3.5.7.2 Rest of Asia Pacific Algorithmic Trading Market by Traders Type
8.3.5.7.3 Rest of Asia Pacific Algorithmic Trading Market by Deployment Type
8.3.5.7.4 Rest of Asia Pacific Algorithmic Trading Market by Type
8.4 LAMEA Algorithmic Trading Market
8.4.1 LAMEA Algorithmic Trading Market by Component
8.4.1.1 LAMEA Algorithmic Trading Solution Market by Country
8.4.1.2 LAMEA Algorithmic Trading Services Market by Country
8.4.2 LAMEA Algorithmic Trading Market by Traders Type
8.4.2.1 LAMEA Algorithmic Trading Institutional Investors Market by Country
8.4.2.2 LAMEA Algorithmic Trading Long-Term Traders Market by Country
8.4.2.3 LAMEA Algorithmic Trading Short-Term Traders Market by Country
8.4.2.4 LAMEA Other Traders Type Algorithmic Trading Market by Country
8.4.3 LAMEA Algorithmic Trading Market by Deployment Type
8.4.3.1 LAMEA Cloud Algorithmic Trading Market by Country
8.4.3.2 LAMEA On-premise Algorithmic Trading Market by Country
8.4.4 LAMEA Algorithmic Trading Market by Type
8.4.4.1 LAMEA Stock Markets Algorithmic Trading Market by Country
8.4.4.2 LAMEA FOREX Algorithmic Trading Market by Country
8.4.4.3 LAMEA ETF Algorithmic Trading Market by Country
8.4.4.4 LAMEA Bonds Algorithmic Trading Market by Country
8.4.4.5 LAMEA Cryptocurrencies Algorithmic Trading Market by Country
8.4.4.6 LAMEA Others Algorithmic Trading Market by Country
8.4.5 LAMEA Algorithmic Trading Market by Country
8.4.5.1 Brazil Algorithmic Trading Market
8.4.5.1.1 Brazil Algorithmic Trading Market by Component
8.4.5.1.2 Brazil Algorithmic Trading Market by Traders Type
8.4.5.1.3 Brazil Algorithmic Trading Market by Deployment Type
8.4.5.1.4 Brazil Algorithmic Trading Market by Type
8.4.5.2 Argentina Algorithmic Trading Market
8.4.5.2.1 Argentina Algorithmic Trading Market by Component
8.4.5.2.2 Argentina Algorithmic Trading Market by Traders Type
8.4.5.2.3 Argentina Algorithmic Trading Market by Deployment Type
8.4.5.2.4 Argentina Algorithmic Trading Market by Type
8.4.5.3 UAE Algorithmic Trading Market
8.4.5.3.1 UAE Algorithmic Trading Market by Component
8.4.5.3.2 UAE Algorithmic Trading Market by Traders Type
8.4.5.3.3 UAE Algorithmic Trading Market by Deployment Type
8.4.5.3.4 UAE Algorithmic Trading Market by Type
8.4.5.4 Saudi Arabia Algorithmic Trading Market
8.4.5.4.1 Saudi Arabia Algorithmic Trading Market by Component
8.4.5.4.2 Saudi Arabia Algorithmic Trading Market by Traders Type
8.4.5.4.3 Saudi Arabia Algorithmic Trading Market by Deployment Type
8.4.5.4.4 Saudi Arabia Algorithmic Trading Market by Type
8.4.5.5 South Africa Algorithmic Trading Market
8.4.5.5.1 South Africa Algorithmic Trading Market by Component
8.4.5.5.2 South Africa Algorithmic Trading Market by Traders Type
8.4.5.5.3 South Africa Algorithmic Trading Market by Deployment Type
8.4.5.5.4 South Africa Algorithmic Trading Market by Type
8.4.5.6 Nigeria Algorithmic Trading Market
8.4.5.6.1 Nigeria Algorithmic Trading Market by Component
8.4.5.6.2 Nigeria Algorithmic Trading Market by Traders Type
8.4.5.6.3 Nigeria Algorithmic Trading Market by Deployment Type
8.4.5.6.4 Nigeria Algorithmic Trading Market by Type
8.4.5.7 Rest of LAMEA Algorithmic Trading Market
8.4.5.7.1 Rest of LAMEA Algorithmic Trading Market by Component
8.4.5.7.2 Rest of LAMEA Algorithmic Trading Market by Traders Type
8.4.5.7.3 Rest of LAMEA Algorithmic Trading Market by Deployment Type
8.4.5.7.4 Rest of LAMEA Algorithmic Trading Market by Type

Chapter 9. Company Profiles
9.1 Software AG
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.2 Tata Consultancy Services Ltd.
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Recent strategies and developments:
9.2.4.1 Product Launches and Product Expansions:
9.2.5 SWOT Analysis
9.3 Thomson Reuters Corporation (The Woodbridge Company)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Recent strategies and developments:
9.3.4.1 Product Launches and Product Expansions:
9.4 Argo SE, Inc.
9.4.1 Company Overview
9.5 MetaQuotes Ltd.
9.5.1 Company Overview
9.5.2 Recent strategies and developments:
9.5.2.1 Product Launches and Product Expansions:
9.5.2.2 Partnerships, Collaborations, and Agreements:
9.6 Symphony Fintech Solutions Private Limited
9.6.1 Company Overview
9.6.2 Recent strategies and developments:
9.6.2.1 Partnerships, Collaborations, and Agreements:
9.7 Kuberre Systems, Inc.
9.7.1 Company Overview
9.8 Trading Technologies International, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Partnerships, Collaborations, and Agreements:
9.8.2.2 Acquisition and Mergers:
9.9 Vela Trading Systems LLC
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Product Launches and Product Expansions:
9.9.2.2 Partnerships, Collaborations, and Agreements:
9.9.2.3 Acquisition and Mergers:
9.10. Tethys Technology, Inc.
9.10.1 Company Overview
Note: Product cover images may vary from those shown
  • Software AG
  • Tata Consultancy Services Ltd.
  • Thomson Reuters Corporation (The Woodbridge Company)
  • Argo SE, Inc.
  • MetaQuotes Ltd.
  • Symphony Fintech Solutions Private Limited
  • Kuberre Systems, Inc.
  • Trading Technologies International, Inc.
  • Vela Trading Systems LLC
  • Tethys Technology, Inc.
Note: Product cover images may vary from those shown

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