Algorithmic Trading Market Trends, Scope, Demand, Opportunity and Forecast by 2025

The global algorithmic trading market is expected to grow at a CAGR of around 10% during 2019-2024.

The global algorithmic trading market is expected to grow at a CAGR of around 10% during 2019-2024. Algorithmic trading is a process that executes orders by utilizing automated and pre-programmed trading instructions, which are dependent on variables such as price, timing and volume. Also known as automated or black-box trading, it focuses on generating profits, reducing transactional costs and enabling investors to take control of the trading process using a computer. Besides this, it makes the market more flexible and systematic by ruling out any human influences.

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Due to the escalating demand for fast and effective order execution, the key players are investing in research and development (R&D) activities to integrate new technologies in algorithmic trading, such as data science, cloud computing and application programming interface (API) trading. These technologies assist in making these systems readily available for small-scale traders, such as retailers, investors and individuals. Furthermore, the easy availability of improved algorithmic trading solutions has enabled high-frequency traders to execute orders and manage risks, which is anticipated to drive the market further in the coming years. 

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Report Coverage:

  • Historical, Current and Future Market Trends
  • Market Breakup by Trading Types:
    • Foreign Exchange (FOREX)
    • Stock Markets
    • Exchange-Traded Fund (ETF)
    • Bonds
    • Cryptocurrencies
    • Others
  • Market Breakup by Components:
    • Solutions
      • Platforms
      • Software Tools
    • Services
      • Professional Services
      • Managed Services
  • Market Breakup by Deployment Model:
    • On-Premises
    • Cloud
  • Market Breakup by Organization Size:
    • Small and Medium Enterprises
    • Large Enterprises
  • Market Breakup by Region:
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East and Africa

Competitive Landscape:

The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Technologies LLC, Meta-Quotes Software Corp, Trading Technologies International Inc., Software AG, Algo Trader,  uTrade Solutions Private Ltd., Automated Trading SoftTech Pvt. Ltd., Kuberre Systems Inc., InfoReach Inc., Virtu Financial, Tata Consultancy Services, Argo Group, Thomson Reuters,   iRageCapital, Moons, etc.

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Note: As the novel coronavirus (COVID-19) crisis takes over the world, we are continuously tracking the changes in the markets, as well as the purchase behaviours of the consumers globally and our estimates about the latest market trends and forecasts are being done after considering the impact of this pandemic.

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