Cloud Deployment Mode is Anticipated to Witness High Traction in Algorithmic Trading Market during 2020-24
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”, global algorithmic trading market is expected to register CAGR of around 11% over the forecast period on account of growing demand for market surveillance and rise in integration of financial market. Market surveillance technology helps the traders to keep a track on their trading activities and investment portfolio. Therefore, the major players in the market are shifting their focus towards developing new solutions and create effective marketing strategies for market surveillance. Due to 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.
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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. Thomson Reuters, Virtu Financial, Software Ag, Metaquotes Software, Symphony Fintech, Kuberre Systems, Tata Consulting Services, Quantcore Capital Management, Automated Trading Softtech, Trading Technologies, among others are the leading players operating in global algorithmic trading market.
“In terms of region, North America dominates the market on account of rising investments in trading technologies such as blockchain and 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.
Browse market data Tables and Figures spread through 110 Pages and an in-depth TOC on “Global Algorithmic Trading Market” @ https://www.techsciresearch.com/report/algorithmic-trading-market/4188.html
“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 global algorithmic trading market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges and opportunities in global algorithmic trading market.
Contact
Mr. Ken Mathews
708 Third Avenue,
Manhattan, NY,
New York – 10017
Tel: +1-646-360-1656
Email: sales@techsciresearch.com
Download sample report @ http://www.techsciresearch.com/sample-report.aspx?cid=4188
customers can also request for 10% free customization on this report.
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. Thomson Reuters, Virtu Financial, Software Ag, Metaquotes Software, Symphony Fintech, Kuberre Systems, Tata Consulting Services, Quantcore Capital Management, Automated Trading Softtech, Trading Technologies, among others are the leading players operating in global algorithmic trading market.
“In terms of region, North America dominates the market on account of rising investments in trading technologies such as blockchain and 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.
Browse market data Tables and Figures spread through 110 Pages and an in-depth TOC on “Global Algorithmic Trading Market” @ https://www.techsciresearch.com/report/algorithmic-trading-market/4188.html
“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 global algorithmic trading market and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges and opportunities in global algorithmic trading market.
Contact
Mr. Ken Mathews
708 Third Avenue,
Manhattan, NY,
New York – 10017
Tel: +1-646-360-1656
Email: sales@techsciresearch.com
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