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Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

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    Report

  • 108 Pages
  • July 2022
  • Region: Global
  • IMARC Group
  • ID: 5633306
UP TO OFF until Dec 31st 2022
The global algorithmic trading market reached a value of US$ 13.0 Billion in 2021. Looking forward, the publisher expects the market to reach US$ 24.0 Billion by 2027, exhibiting a CAGR of 10.76% during 2021-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic. These insights are included in the report as a major market contributor.

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 sub-segment of the global algorithmic trading market, along with forecasts at the global and regional level from 2022-2027. Our 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. etc.

Key Questions Answered in This Report

1. What is the expected growth rate of the global algorithmic trading market during 2022-2027?
2. What are the key factors driving the global algorithmic trading market?
3. What has been the impact of COVID-19 on the global algorithmic trading market?
4. What is the breakup of the global algorithmic trading market based on the trading type?
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 is the breakup of the global algorithmic trading market based on the organization size?
8. What are the key regions in the global algorithmic trading market?
9. Who are the key players/companies in the global algorithmic trading market?
Frequently Asked Questions about the Global Algorithmic Trading Market

What is the estimated value of the Global Algorithmic Trading Market?

The Global Algorithmic Trading Market was estimated to be valued at $13 Billion in 2021.

What is the growth rate of the Global Algorithmic Trading Market?

The growth rate of the Global Algorithmic Trading Market is 10.7%, with an estimated value of $24 Billion by 2027.

What is the forecasted size of the Global Algorithmic Trading Market?

The Global Algorithmic Trading Market is estimated to be worth $24 Billion by 2027.

Who are the key companies in the Global Algorithmic Trading Market?

Key companies in the Global Algorithmic Trading Market include Vela Trading Systems LLC, Meta, Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited and InfoReach Inc..

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
7.1.2.1 Platforms
7.1.2.2 Software Tools
7.1.3 Market Forecast
7.2 Services
7.2.1 Market Trends
7.2.2 Major Types
7.2.2.1 Professional Services
7.2.2.2 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.
List of Figures
Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2016-2021
Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2021
Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2021
Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2021
Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2021
Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2021
Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2022-2027
Figure 9: Global: Algorithmic Trading Industry: SWOT Analysis
Figure 10: Global: Algorithmic Trading Industry: Value Chain Analysis
Figure 11: Global: Algorithmic Trading Industry: Porter’s Five Forces Analysis
Figure 12: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market: Sales Value (in Million US$), 2016 & 2021
Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2016 & 2021
Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2016 & 2021
Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2016 & 2021
Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2016 & 2021
Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2016 & 2021
Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2016 & 2021
Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2016 & 2021
Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2016 & 2021
Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
List of Tables
Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2021 and 2027
Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2022-2027
Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2022-2027
Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2022-2027
Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2022-2027
Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2022-2027
Table 7: Global: Algorithmic Trading Market Structure
Table 8: Global: Algorithmic Trading Market: Key Players

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. etc.

Methodology

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