Global Algorithmic Trading Market 2020-2024

SKU ID : TNV- 15921022

Publishing Date : 24-Jun-2020

No. of pages : 120

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  • Global Algorithmic Trading Market 2020-2024
    Our Experts has been monitoring the algorithmic trading market and it is poised to grow by $ 4.27 bn during 2020-2024 progressing at a CAGR of 6% during the forecast period. Our reports on algorithmic trading market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
    The report offers an up-to-date analysis regarding the current global market scenario, latest trends and drivers, and the overall market environment. The market is driven by the high demand for market surveillance, rise in integration of financial markets and growing opportunities and demand in APAC. In addition, the high demand for market surveillance is anticipated to boost the growth of the market as well.
    The algorithmic trading market analysis includes component segment and geographic landscapes
    Our Experts's algorithmic trading market is segmented as below:
    By Component
    • Solutions
    • Services
    By Geographic Landscape
    • North America
    • Europe
    • APAC
    • South America
    • MEA
    This study identifies the adoption of machine learning and AI as one of the prime reasons driving the algorithmic trading market growth during the next few years. Also, technological advancements and portfolio risk solutions will lead to sizable demand in the market.
    Our Experts presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters. Our algorithmic trading market covers the following areas:
    • Algorithmic trading market sizing
    • Algorithmic trading market forecast
    • Algorithmic trading market industry analysis
    Our Experts's robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading algorithmic trading market vendors that include AlgoTrader AG, Argo SE, Citadel Enterprise Americas LLC, InfoReach Inc., Optiver VOF, Tata Consultancy Services Ltd., Thomson Reuters Corp., Tower Research Capital LLC, uTrade, and VIRTU Financial Inc.. Also, the algorithmic trading market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage on all forthcoming growth opportunities.
    The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.
    Our Experts presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. Our Experts's market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast an accurate market growth.

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    This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.

    • By product type
    • By End User/Applications
    • By Technology
    • By Region

    The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
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