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Global Algorithmic Trading Market 2023 by Company, Regions, Type and Application, Forecast to 2029

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. According to our (Global Info Research) latest study, the global Algorithmic Trading market size was valued at USD 11750 million in 2022 and is forecast to a readjusted size of USD 14990 million by 2029 with a CAGR of 3.5% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes. 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 is a detailed and comprehensive analysis for global Algorithmic Trading market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided. Key Features: Global Algorithmic Trading market size and forecasts, in consumption value ($ Million), 2018-2029 Global Algorithmic Trading market size and forecasts by region and country, in consumption value ($ Million), 2018-2029 Global Algorithmic Trading market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029 Global Algorithmic Trading market shares of main players, in revenue ($ Million), 2018-2023 The Primary Objectives in This Report Are: To determine the size of the total market opportunity of global and key countries To assess the growth potential for Algorithmic Trading To forecast future growth in each product and end-use market To assess competitive factors affecting the marketplace This report profiles key players in the global Algorithmic Trading market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Virtu Financial, DRW Trading, Optiver, Tower Research Capital and Flow Traders, etc. This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence. Market segmentation Algorithmic Trading market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets. Market segment by Type On-Premise Cloud-Based Market segment by Application Investment Banks Funds Personal Investors Others Market segment by players, this report covers 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 Market segment by regions, regional analysis covers North America (United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, Italy, and Rest of Europe) Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific) South America (Brazil, Argentina and Rest of South America) Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa) The content of the study subjects, includes a total of 13 chapters: Chapter 1, to describe Algorithmic Trading product scope, market overview, market estimation caveats and base year. Chapter 2, to profile the top players of Algorithmic Trading, with revenue, gross margin and global market share of Algorithmic Trading from 2018 to 2023. Chapter 3, the Algorithmic Trading competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast. Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029. Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Algorithmic Trading market forecast, by regions, type and application, with consumption value, from 2024 to 2029. Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War Chapter 12, the key raw materials and key suppliers, and industry chain of Algorithmic Trading. Chapter 13, to describe Algorithmic Trading research findings and conclusion.
1 Market Overview 1.1 Product Overview and Scope of Algorithmic Trading 1.2 Market Estimation Caveats and Base Year 1.3 Classification of Algorithmic Trading by Type 1.3.1 Overview: Global Algorithmic Trading Market Size by Type: 2018 Versus 2022 Versus 2029 1.3.2 Global Algorithmic Trading Consumption Value Market Share by Type in 2022 1.3.3 On-Premise
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About this Report
Report ID 190977
Category
  • Software and Services
Published on 02-Jan
Number of Pages 100
Publisher Name Global Info Research
Editor Rating
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