Algorithmic Trading market

Algorithmic Trading Market, Global Outlook and Forecast 2023-2029

  • 16 March 2023
  • ICT & Media
  • 66 Pages
  • Report code : PMR-7603776

  • 4.7 (158)

Algorithmic Trading Market

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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.
Algorithmic Trading Market aims to provide a comprehensive presentation of the global market for Algorithmic Trading, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Algorithmic Trading. Algorithmic Trading Market contains market size and forecasts of Algorithmic Trading in global, including the following market information:
Global Algorithmic Trading Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Algorithmic Trading market was valued at US$ 11750 million in 2022 and is projected to reach US$ 14990 million by 2029, at a CAGR of 3.5% during the forecast 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.
We surveyed the Algorithmic Trading companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Algorithmic Trading Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Algorithmic Trading Market Segment Percentages, by Type, 2022 (%)
On-Premise
Cloud-Based
Global Algorithmic Trading Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Algorithmic Trading Market Segment Percentages, by Application, 2022 (%)
Investment Banks
Funds
Personal Investors
Others
Global Algorithmic Trading Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Algorithmic Trading Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Algorithmic Trading revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Algorithmic Trading revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
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
Outline of Major Chapters:
Chapter 1: Introduces the definition of Algorithmic Trading, market overview.
Chapter 2: Global Algorithmic Trading market size in revenue.
Chapter 3: Detailed analysis of Algorithmic Trading company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Algorithmic Trading in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.

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