Global Algorithmic Trading Market Growth (Status and Outlook) 2023-2029

Global Algorithmic Trading Market Growth (Status and Outlook) 2023-2029

Product Code:450320

Published Date: Feb 08,2023

Pages: 100

Region: Global

Category: Service & Software

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Algorithmic trading is a method of executing a large order (too large to fill all at once) using automated pre-programmed trading instructions accounting for variables such as time, price, and volume to send small slices of the order (child orders) out to the market over time.

LPI (LP Information)' newest research report, the “Algorithmic Trading Industry Forecast” looks at past sales and reviews total world Algorithmic Trading sales in 2022, providing a comprehensive analysis by region and market sector of projected Algorithmic Trading sales for 2023 through 2029. With Algorithmic Trading sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Algorithmic Trading industry.

This Insight Report provides a comprehensive analysis of the global Algorithmic Trading landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Algorithmic Trading portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Algorithmic Trading market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Algorithmic Trading and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Algorithmic Trading.

The global Algorithmic Trading market size is projected to grow from US$ 11170 million in 2022 to US$ 14540 million in 2029; it is expected to grow at a CAGR of 3.8% from 2023 to 2029.

Global Algorithmic Trading key players include Virtu Financial, Optiver, IMC, DRW Trading, Flow Traders, etc. Global top five manufacturers hold a share about 50%.

United States is the largest market, with a share about 50%, followed by Europe, and Japan, both have a share over 40 percent. 
In terms of application, the largest application is Investment Banks, followed by CFunds, Personal Investors, etc.

This report presents a comprehensive overview, market shares, and growth opportunities of Algorithmic Trading market by product type, application, key players and key regions and countries.

Market Segmentation:
Segmentation by type
    On-Premise
    Cloud-Based

Segmentation by application
    Investment Banks
    Funds
    Personal Investors
    Others

This report also splits the market by region:
    Americas
        United States
        Canada
        Mexico
        Brazil
    APAC
        China
        Japan
        Korea
        Southeast Asia
        India
        Australia
    Europe
        Germany
        France
        UK
        Italy
        Russia
    Middle East & Africa
        Egypt
        South Africa
        Israel
        Turkey
        GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
    Virtu Financial
    DRW Trading
    Optiver
    Tower Research Capital
    Flow Traders
    Hudson River Trading
    Jump Trading
    RSJ Algorithmic Trading
    Spot Trading
    Sun Trading
    Tradebot Systems
    IMC
    Quantlab Financial
    Teza Technologies