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 are mainly used in investment banks, pension funds, mutual funds, hedge funds, etc. And investment banks were the most widely used area which took up about 48% of the global total in 2016.

Market Analysis and Insights: Global Algorithmic Trading Market

The global Algorithmic Trading market size is projected to reach US$ 14260 million by 2027, from US$ 11080 million in 2020, at a CAGR of 3.7% during 2021-2027.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Algorithmic Trading market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Algorithmic Trading market in terms of revenue.

On the whole, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Algorithmic Trading market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Algorithmic Trading market.

Global Algorithmic Trading Scope and Market Size

Algorithmic Trading market is segmented by company, region (country), by Type, and by Application. Players, stakeholders, and other participants in the global Algorithmic Trading market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.

Segment by Type

  • On-Premise
  • Cloud-Based

Segment by Application

  • Investment Banks
  • Funds
  • Personal Investors
  • Others

By Region

  • North America
  • U.S.
  • Canada
  • Europe
  • Germany
  • France
  • U.K.
  • Italy
  • Russia
  • Nordic
  • Rest of Europe
  • Asia-Pacific
  • China
  • Japan
  • South Korea
  • Southeast Asia
  • India
  • Australia
  • Rest of Asia
  • Latin America
  • Mexico
  • Brazil
  • Rest of Latin America
  • Middle East & Africa
  • Turkey
  • Saudi Arabia
  • UAE
  • Rest of MEA

By Company

  • 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

Reasons to Purchase Our Research Report:

  • Analyzing the outlook of the market with the recent trends and SWOT analysis
  • Market dynamics scenario, along with growth opportunities of the market in the years to come
  • Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and non-economic aspects
  • Regional and country-level analysis integrating the demand and supply forces that are influencing the growth of the market.
  • Market value (USD Million) and volume (Units Million) data for each segment and sub-segment
  • Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
  • Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players
  • Analyst support, along with the data support in excel format.

Table of content

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Algorithmic Trading Market Size Growth Rate by Type: 2016 VS 2021 VS 2027
1.2.2 On-Premise
1.2.3 Cloud-Based
1.3 Market by Application
1.3.1 Global Algorithmic Trading Market Share by Application: 2016 VS 2021 VS 2027
1.3.2 Investment Banks
1.3.3 Funds
1.3.4 Personal Investors
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered

2 Global Growth Trends
2.1 Global Algorithmic Trading Market Perspective (2016-2027)
2.2 Algorithmic Trading Growth Trends by Regions
2.2.1 Algorithmic Trading Market Size by Regions: 2016 VS 2021 VS 2027
2.2.2 Algorithmic Trading Historic Market Share by Regions (2016-2021)
2.2.3 Algorithmic Trading Forecasted Market Size by Regions (2022-2027)
2.3 Algorithmic Trading Industry Dynamic
2.3.1 Algorithmic Trading Market Trends
2.3.2 Algorithmic Trading Market Drivers
2.3.3 Algorithmic Trading Market Challenges
2.3.4 Algorithmic Trading Market Restraints

3 Competition Landscape by Key Players
3.1 Global Top Algorithmic Trading Players by Revenue
3.1.1 Global Top Algorithmic Trading Players by Revenue (2016-2021)
3.1.2 Global Algorithmic Trading Revenue Market Share by Players (2016-2021)
3.2 Global Algorithmic Trading Market Share by Company Type (Tier 1, Tier 2 and Tier 3)

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