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Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

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  • 137 Pages
  • September 2023
  • Region: Global
  • IMARC Group
  • ID: 5633306
The global algorithmic trading market reached a value of US$ 14.0 Billion in 2022. Looking forward, the publisher expects the market to reach US$ 26.8 Billion by 2028, exhibiting a CAGR of 12% during 2023-2028.

Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.

Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.

The publisher's latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter’s five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.

Key Market Segmentation:

The publisher provides an analysis of the key trends in each segment of the global algorithmic trading market report, along with forecasts at the global and regional levels from 2023-2028. The report has categorized the market based on trading type, components, deployment model and organization size.

Breakup by Trading Type:

  • Foreign Exchange (FOREX)
  • Stock Markets
  • Exchange-Traded Fund (ETF)
  • Bonds
  • Cryptocurrencies
  • Others

Breakup by Components:

  • Solutions
  • Platforms
  • Software Tools
  • Services
  • Professional Services
  • Managed Services

Breakup by Deployment Model:

  • On-Premises
  • Cloud

Breakup by Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises

Breakup by Region:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape:

The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.

Key Questions Answered in This Report

1. What was the size of the global algorithmic trading market in 2022?
2. What is the expected growth rate of the global algorithmic trading market during 2023-2028?
3. What are the key factors driving the global algorithmic trading market?
4. What has been the impact of COVID-19 on the global algorithmic trading market?
5. What is the breakup of the global algorithmic trading market based on the components?
6. What is the breakup of the global algorithmic trading market based on the deployment model?
7. What are the key regions in the global algorithmic trading market?
8. Who are the key players/companies in the global algorithmic trading market?

Table of Contents

1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Algorithmic Trading Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Breakup by Trading Type
5.5 Market Breakup by Components
5.6 Market Breakup by Deployment Model
5.7 Market Breakup by Organization Size
5.8 Market Breakup by Region
5.9 Market Forecast
6 Market Breakup by Trading Type
6.1 Foreign Exchange (FOREX)
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Stock Markets
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Exchange-Traded Fund (ETF)
6.3.1 Market Trends
6.3.2 Market Forecast
6.4 Bonds
6.4.1 Market Trends
6.4.2 Market Forecast
6.5 Cryptocurrencies
6.5.1 Market Trends
6.5.2 Market Forecast
6.6 Others
6.6.1 Market Trends
6.6.2 Market Forecast
7 Market Breakup by Components
7.1 Solutions
7.1.1 Market Trends
7.1.2 Major Types Platforms Software Tools
7.1.3 Market Forecast
7.2 Services
7.2.1 Market Trends
7.2.2 Major Types Professional Services Managed Services
7.2.3 Market Forecast
8 Market Breakup by Deployment Model
8.1 On-Premises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Cloud
8.2.1 Market Trends
8.2.2 Market Forecast
9 Market Breakup by Organization Size
9.1 Small and Medium Enterprises
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Large Enterprises
9.2.1 Market Trends
9.2.2 Market Forecast
10 Market Breakup by Region
10.1 North America
10.1.1 Market Trends
10.1.2 Market Forecast
10.2 Europe
10.2.1 Market Trends
10.2.2 Market Forecast
10.3 Asia Pacific
10.3.1 Market Trends
10.3.2 Market Forecast
10.4 Middle East and Africa
10.4.1 Market Trends
10.4.2 Market Forecast
10.5 Latin America
10.5.1 Market Trends
10.5.2 Market Forecast
11 SWOT Analysis
11.1 Overview
11.2 Strengths
11.3 Weaknesses
11.4 Opportunities
11.5 Threats
12 Value Chain Analysis
13 Porter’s Five Forces Analysis
13.1 Overview
13.2 Bargaining Power of Buyers
13.3 Bargaining Power of Suppliers
13.4 Degree of Competition
13.5 Threat of New Entrants
13.6 Threat of Substitutes
14 Competitive Landscape
14.1 Market Structure
14.2 Key Players
14.3 Profiles of Key Players
14.3.1 Vela Trading Systems LLC
14.3.2 Meta-Quotes Limited
14.3.3 Trading Technologies International Inc.
14.3.4 Software AG
14.3.5 AlgoTrader
14.3.6 uTrade Solutions Private Limited
14.3.7 Automated Trading SoftTech Private Limited
14.3.8 Kuberre Systems Inc.
14.3.9 InfoReach Inc.
14.3.10 Virtu Financial Inc.
14.3.11 Tata Consultancy Services
14.3.12 Argo Group International Holdings Limited
14.3.13 Thomson Reuters Corporation
14.3.14 iRageCapital Advisory Private Limited
14.3.15 63 Moons Technologies Ltd.

Companies Mentioned

  • Vela Trading Systems LLC
  • Meta-Quotes Limited
  • Trading Technologies International Inc.
  • Software AG
  • AlgoTrader
  • uTrade Solutions Private Limited
  • Automated Trading SoftTech Private Limited
  • Kuberre Systems Inc.
  • InfoReach Inc.
  • Virtu Financial Inc.
  • Tata Consultancy Services
  • Argo Group International Holdings Limited
  • Thomson Reuters Corporation
  • iRageCapital Advisory Private Limited
  • 63 Moons Technologies Ltd.



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