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Algorithmic Trading Market Share, Size, Analysis, Forecast, Trends & Growth

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Algorithmic Trading Market Share, Size, Analysis, Forecast, Trends & Growth

Rising demand for fast order execution and reducing transactional costs to drive the global algorithmic trading market through 2024. According to TechSci Research report, “Global Algorithmic Trading Market By Component, By Trading Type, By Enterprise Size, By Deployment Mode, By Region, Competition, Forecast & Opportunities, 2024”, the global algorithmic trading market is expected to register a CAGR of around 11% over the forecast period on account of growing demand for market surveillance and rise in the integration of financial market.

Important Factors of the Algorithmic Trading Market

Market surveillance technology helps traders to keep track of their trading activities and investment portfolio. Therefore, the major players in the market are shifting their focus toward developing new solutions and creating effective marketing strategies for market surveillance. Due to a large number of financial firms opting for increasing automation in trading processes the algorithm trading market is anticipated to grow substantially during the forecast period. However, the lack of monitoring and insufficient risk valuation capabilities might hamper the growth of the market during the forecast period. 


Browse market data Tables and Figures spread through 110 Pages and an in-depth TOC on "Algorithmic Trading Market".


The global algorithmic trading market can be segmented based on component, trading type, enterprise size, deployment mode, and region. Considering the deployment mode, the market can be segmented into cloud and on-premises. Cloud deployment mode is anticipated to witness high traction in the upcoming years as most of the vendors in the algorithmic trading market offer cloud-based trading solutions to make profits and effectively automate the trading process. Owing to benefits like easy trade data maintenance, cost-effectiveness, scalability, and effective management the adoption of cloud-based algorithmic trading solutions is expected to rev up during 2024.

The Major competitors dealing in Algorithmic Trading Market

  1. Thomson Reuters
  2. Virtu Financial
  3. Software Ag
  4. Metaquotes Software
  5. Symphony Fintech
  6. Kuberre Systems
  7. Tata Consulting Services
  8. Quantcore Capital Management
  9. Automated Trading Softtech, and Trading Technologies, among others, are the leading players operating in the global algorithmic trading market.


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“In terms of region, North America dominates the market on account of rising investments in trading technologies such as blockchain and the increasing presence of algorithmic trading vendors. Asia-Pacific algorithmic trading market is expected to grow at the highest CAGR through 2024 on account of the heavy investments made by private and public sectors for enhancing their trading technologies, which is fueling demand for algorithmic trading solutions that are used for automating the trading process,” said Mr. Karan Chechi, Research Director with TechSci Research, a research-based global management consulting firm.


“Global Algorithmic Trading Market By Component, By Trading Type, By Enterprise Size, By Deployment Mode, By Region, Competition, Forecast & Opportunities, 2024” has evaluated the future growth potential of the global algorithmic trading market and provides statistics & information on the market size, structure, and future market growth. The report intends to provide cutting-edge market intelligence and help decision-makers make sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in the global algorithmic trading market.


Contact

Mr. Ken Mathews

708 Third Avenue,

Manhattan, NY,

New York – 10017

Tel: +1-646-360-1656

Email: [email protected]

Web: https://www.techsciresearch.com

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