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Algorithmic Trading Market Analysis- Industry Size, Share, Research Report, Insights, Covid-19 Impact, Statistics, Trends, Growth and Forecast 2022-2030

Published Date: July, 2022
No of Pages: 169
Delivery Format: PDF + Excel

$2,950.00

Description of the Report

Algorithmic Trading Market Statistics 2028

The global market for algorithmic trading size was estimated at $12,143 million in 2020. The market is expected to grow to $31,494 million by 2028, which will grow by 12.7 percent from 2021 until 2028. Automated trading, also known as algorithmic trading, is a type of automation that uses computers to implement a specific set of guidelines or rules that include purchasing or selling assets about market information. The collection of policies or regulations is dependent on the timing or quantity, price, or any other mathematical model. It provides numerous benefits to participants in the market, such as allowing trades to be executed at the highest possible price, simultaneously automated checks of multiple market conditions, businesses that are timed accurately and quickly, and reduced costs for transactions because of the absence of any human involvement.

Based on the component of the solution, the segment that showed the most growth in market share for algorithmic trading in the year 2020 is predicted to continue its lead in the coming years. The market for algorithm-based trading solutions is mainly motivated by its advantages like lower transaction costs because of the absence of human intervention and instant and accurate trade order placing. Additionally, market players are developing advanced trading algorithms to meet their clients’ different needs. For example, in September 2019, BNP Paribas introduced an updated FX trading platform that features real-time analysis and dynamic algorithms. The services sector is anticipated to see the most growth because of customers’ widespread acceptance of professional services since they ensure the efficiency of the algorithmic trading system throughout the entire process.

In terms of deployment method, the global automated trading market was led by the cloud-based segment in the year 2020 and is likely to continue its position in the coming years due to the increase in the adoption of cloud-based apps by financial institutions to improve their efficiency and productivity. Furthermore, cloud-based algorithms for trading are becoming popular among traders due to the efficient automation of processes and maintenance of data, as well as cost-effective management. This will further boost the development of this segment in the coming years.

North America dominates the algorithmic trading market for various reasons, such as massive investments in trading technology and the increase in support from governments for global trade. Additionally, the presence of algorithmic trading providers within the Region drives the expansion of this market. But, Asia-Pacific is predicted to experience the fastest growth in the forecasted timeframe due to the massive investments of both the private and public sectors to upgrade their trading capabilities, which drives the need for algorithm-based trading solutions that simplify trading processes.

The report concentrates on growth prospects, limitations, and analyzing market trends in algorithmic trading. The report provides Porter’s Five Forces analysis for the algorithmic trading industry to comprehend the effects on various aspects like bargaining capacity of suppliers, the competitive intensity of competitors, risk of new competitors, the threat of substitutes, and buyers’ bargaining ability on the trend of the market for algorithmic trading.

Segment review

The market for algorithmic trading is divided by components, types of deployment mode, types of traders, and location. Regarding the basis of features, it’s classified into services and solutions. Based on its nature, it is divided into stock markets, FOREX, ETF, crypto, bonds, and many more. Based on the deployment model, it is classified as clouds and off-premise. Based on the type of trader and their type of investment, it is classified into institutions, long-term traders, short-term traders, and retail investors. Regionally it is analyzed over North America, Europe, Asia-Pacific, and LAMEA.

Asia-Pacific is predicted to be one of the largest regions.

Assessment of COVID’s Impact

The estimated 2028 date is predicted to be greater than the pre-COVID-19 estimates. The COVID-19 outbreak has had minimal impact on the development of the algorithmic trading market because algorithm-based trading strategies have been increasing in response to extraordinary conditions. The COVID-19 pandemic has dramatically accelerated the growth rate of the algorithmic trading market due to the increasing trend towards algo trading, which is making decisions at a fast speed while reducing human error. For example, the Reserve Bank of Australia, in its most recent publication, stated that the COVID-19 virus could have only accelerated the industry’s move towards electronic trading.

Market players have also introduced new algorithms for trading during the outbreak to provide better service to the increasing volume of trading. This is the reason behind the market’s expansion. For example, in March 2021, Cowen, an American multinational investment bank independent and financial services provider, introduced an algorithmic trading system to help institutional customers manage market volatility triggered by increased retail trading.

Top factors that impact

The rapid growth of the global market for algorithmic trading is driven by factors like the increase in the demand for fast, reliable, efficient, and reliable execution of orders, the emergence of favorable regulations from the government, and the requirement to monitor markets in the first place. Furthermore, the increasing demand to reduce the cost of transactions is fueling the need for algorithmic trading. However, the lack of risk assessment capabilities could hinder the market’s growth. However, the emerging AI or algorithms for the financial sector will likely bring lucrative opportunities to the market’s growth in the coming time. Furthermore, the growing demand for cloud-based solutions is expected to provide opportunism for the need for algorithmic trading expansion over the forecast time.

The demand for HTML0 has increased for fast, reliable, and efficient execution of orders.

The algorithmic trading market is quickly becoming the norm for large brokerage firms and institutions to cut down on the expenses associated with trading. This is partly due to algorithmic trading allowing for more straightforward and quicker transaction processing, making it attractive to exchanges. Additionally, it allows traders and investors to profit quickly from minor price changes. Thus, the increasing demand for efficient trading is the main reason for expanding the market for algorithmic trading because it allows the user to execute trades swiftly.

The emergence of AI and algorithms in the field of financial services

Many financial service firms are expanding their AI and machine-learning adoption to make the most of data generated by digital channels. This is being utilized by many companies in banking, insurance, and asset management. The result is the growing trend of investing using data over the past decade. This, in turn, led to the rise in demand for high-frequency trading, or algorithmic trading. These AI-powered trading systems process massive quantities of data faster than humans would. This is why AI and algorithms used in financial services can be a good opportunity for market growth during the algorithmic trading market timeframe since it allows technological innovation within the market.

Algorithmic Trading Market Report Scope and Segmentation

ATTRIBUTESDETAILS
ESTIMATED YEAR2022
BASE YEAR2021
FORECAST YEAR2030
HISTORICAL YEAR2017-2021
UNITValue (USD Million/Billion)
BY REGIONNorth America, Europe, Asia Pacific, Latin America, Middle East and Africa

The Benefits for Stakeholders

  • This research includes an analysis of the algorithmic market trends in trading and future estimates to identify the future investment pockets.
  • The report provides information on key drivers, constraints, and algorithmic trading market opportunities.
  • The market size of algorithmic trading is analyzed quantitatively between 2020 and 2028 to assess the financial competence of the sector.
  • Porter’s Five Forces analysis demonstrates the power of buyers and suppliers in an algorithmic trading marketplace.

The Key Market Segments

By Component

  • Solution
  • Services

In Type

  • Stock Markets
  • FOREX
  • ETF
  • Bonds
  • Cryptocurrencies
  • Other

In Deployment Mode

  • Cloud
  • On-Premise

For Types Of Traders

  • Institutional Investors
  • Long-Term Traders
  • Short-Term Traders
  • Retail Investors

by Region

    • North America
      • US
      • Canada
      • Mexico
    • Europe
      • Germany
      • Italy
      • France
      • UK
      • Spain
      • Poland
      • Russia
      • The Netherlands
      • Norway
      • Czech Republic
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • India
      • South Korea
      • Indonesia
      • Malaysia
      • Thailand
      • Singapore
      • Australia & New Zealand
      • Rest of Asia Pacific
    • South America
      • Brazil
      • Argentina
      • Colombia
      • Rest of South America
    • The Middle East & Africa
      • Saudi Arabia
      • UAE
      • South Africa
      • Northern Africa
      • Rest of MEA

Principal Market Participants

  • 63MOONS
  • Virtu Financial
  • Software AG
  • Refinitiv Ltd.
  • MetaQuotes Software Corp.
  • Symphony Fintech Solutions Pvt Ltd.
  • Argo SE,
  • Tata Consultancy Services
  • Algo Trader AG
  • Tethys

Table of Contents

CHAPTER 1:INTRODUCTION

1.1.REPORT DESCRIPTION
1.2.KEY BENEFITS FOR STAKEHOLDERS
1.3.KEY MARKET SEGMENTS

1.3.1.Key market players

1.4.RESEARCH METHODOLOGY

1.4.1.Secondary research
1.4.2.Primary research
1.4.3.Analyst tools & models

CHAPTER 2:EXECUTIVE SUMMARY

2.1.KEY FINDINGS

2.1.1.Top impacting factors
2.1.2.Top investment pockets

2.2.CXO PERSPECTIVE

CHAPTER 3:MARKET OVERVIEW

3.1.MARKET DEFINITION AND SCOPE
3.2.KEY FORCES SHAPING THE ALGORITHMIC TRADING MARKET
3.3.MARKET DYNAMICS

3.3.1.Drivers

3.3.1.1.Rise in demand for reliable, fast, and effective order execution
3.3.1.2.Emergence of favorable government regulations
3.3.1.3.The need for market surveillance
3.3.1.4.Rise in demand for reducing the transaction costs

3.3.2.Restraints

3.3.2.1.Insufficient Risk Valuation Capabilities

3.3.3.Opportunities

3.3.3.1.Emergence of AI and algorithms in the financial services
3.3.3.2.Rise in demand for cloud based solutions

3.4.PATENT ANALYSIS

3.4.1.By region (2000-2020)
3.4.2.By applicant

3.5.COVID-19 IMPACT ANALYSIS ON THE ALGORITHMIC TRADING MARKET

3.5.1.Impact on market size
3.5.2.Consumer trends, preferences, and budget impact
3.5.3.Economic impact
3.5.4.Key player strategies to tackle negative impact
3.5.5.Opportunity window

CHAPTER 4:ALGORITHMIC TRADING MARKET, BY COMPONENT

4.1.OVERVIEW
4.2.SOLUTION

4.2.1.Key market trends, growth factors, and opportunities
4.2.2.Market size and forecast, by region
4.2.3.Market analysis, by country

4.3.SERVICES

4.3.1.Key market trends, growth factors, and opportunities
4.3.2.Market size and forecast, by region
4.3.3.Market analysis, by country

CHAPTER 5:ALGORITHMIC TRADING MARKET, BY TYPE

5.1.OVERVIEW
5.2.STOCK MARKETS

5.2.1.Key market trends, growth factors, and opportunities
5.2.2.Market size and forecast, by region
5.2.3.Market analysis, by country

5.3.FOREX

5.3.1.Key market trends, growth factors, and opportunities
5.3.2.Market size and forecast, by region
5.3.3.Market analysis, by country

5.4.ETF

5.4.1.Key market trends, growth factors, and opportunities
5.4.2.Market size and forecast, by region
5.4.3.Market analysis, by country

5.5.BONDS

5.5.1.Key market trends, growth factors, and opportunities
5.5.2.Market size and forecast, by region
5.5.3.Market analysis, by country

5.6.CRYPTOCURRENCIES

5.6.1.Key market trends, growth factors, and opportunities
5.6.2.Market size and forecast, by region
5.6.3.Market analysis, by country

5.7.OTHERS

5.7.1.Key market trends, growth factors, and opportunities
5.7.2.Market size and forecast, by region
5.7.3.Market analysis, by country

CHAPTER 6:ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE

6.1.OVERVIEW
6.2.ON-PREMISE

6.2.1.Key market trends, growth factors, and opportunities
6.2.2.Market size and forecast, by region
6.2.3.Market analysis, by country

6.3.CLOUD

6.3.1.Key market trends, growth factors, and opportunities
6.3.2.Market size and forecast, by region
6.3.3.Market analysis, by country

CHAPTER 7:ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS

7.1.OVERVIEW
7.2.INSTITUTIONAL INVESTORS

7.2.1.Key market trends, growth factors, and opportunities
7.2.2.Market size and forecast, by region
7.2.3.Market analysis, by country

7.3.LONG-TERM TRADERS

7.3.1.Key market trends, growth factors, and opportunities
7.3.2.Market size and forecast, by region
7.3.3.Market analysis, by country

7.4.SHORT-TERM TRADERS

7.4.1.Key market trends, growth factors, and opportunities
7.4.2.Market size and forecast, by region
7.4.3.Market analysis, by country

7.5.RETAIL INVESTORS

7.5.1.Key market trends, growth factors, and opportunities
7.5.2.Market size and forecast, by region
7.5.3.Market analysis, by country

CHAPTER 8:ALGORITHMIC TRADING MARKET, BY REGION

8.1.OVERVIEW
8.2.NORTH AMERICA

8.2.1.Key market trends, growth factors, and opportunities
8.2.2.Market size and forecast, by component
8.2.3.Market size and forecast, by type
8.2.4.Market size and forecast, by Type of traders
8.2.5.Market analysis, by country

8.2.5.1.U.S.

8.2.5.1.1.Market size and forecast, by component
8.2.5.1.2.Market size and forecast, by type
8.2.5.1.3.Market size and forecast, by type of traders

8.2.5.2.Canada

8.2.5.2.1.Market size and forecast, by component
8.2.5.2.2.Market size and forecast, by type
8.2.5.2.3.Market size and forecast, by type of traders

8.3.EUROPE

8.3.1.Key market trends, growth factors, and opportunities
8.3.2.Market size and forecast, by component
8.3.3.Market size and forecast, by type
8.3.4.Market size and forecast, by Type of traders
8.3.5.Market analysis, by country

8.3.5.1.Germany

8.3.5.1.1.Market size and forecast, by component
8.3.5.1.2.Market size and forecast, by type
8.3.5.1.3.Market size and forecast, by type of traders

8.3.5.2.UK

8.3.5.2.1.Market size and forecast, by component
8.3.5.2.2.Market size and forecast, by type
8.3.5.2.3.Market size and forecast, by type of traders

8.3.5.3.France

8.3.5.3.1.Market size and forecast, by component
8.3.5.3.2.Market size and forecast, by type
8.3.5.3.3.Market size and forecast, by type of traders

8.3.5.4.Spain

8.3.5.4.1.Market size and forecast, by component
8.3.5.4.2.Market size and forecast, by type
8.3.5.4.3.Market size and forecast, by type of traders

8.3.5.5.Rest of Europe

8.3.5.5.1.Market size and forecast, by component
8.3.5.5.2.Market size and forecast, by type
8.3.5.5.3.Market size and forecast, by type of traders

8.4.ASIA-PACIFIC

8.4.1.Key market trends, growth factors, and opportunities
8.4.2.Market size and forecast, by component
8.4.3.Market size and forecast, by type
8.4.4.Market size and forecast, by Type of traders
8.4.5.Market analysis, by country

8.4.5.1.China

8.4.5.1.1.Market size and forecast, by component
8.4.5.1.2.Market size and forecast, by type
8.4.5.1.3.Market size and forecast, by type of traders

8.4.5.2.India

8.4.5.2.1.Market size and forecast, by component
8.4.5.2.2.Market size and forecast, by type
8.4.5.2.3.Market size and forecast, by type of traders

8.4.5.3.Japan

8.4.5.3.1.Market size and forecast, by component
8.4.5.3.2.Market size and forecast, by type
8.4.5.3.3.Market size and forecast, by type of traders

8.4.5.4.Australia

8.4.5.4.1.Market size and forecast, by component
8.4.5.4.2.Market size and forecast, by type
8.4.5.4.3.Market size and forecast, by type of traders

8.4.5.5.South Korea

8.4.5.5.1.Market size and forecast, by component
8.4.5.5.2.Market size and forecast, by type
8.4.5.5.3.Market size and forecast, by type of traders

8.4.5.6.Rest of Asia-Pacific

8.4.5.6.1.Market size and forecast, by component
8.4.5.6.2.Market size and forecast, by type
8.4.5.6.3.Market size and forecast, by type of traders

8.5.EUROPE

8.5.1.Key market trends, growth factors, and opportunities
8.5.2.Market size and forecast, by component
8.5.3.Market size and forecast, by type
8.5.4.Market size and forecast, by Type of traders
8.5.5.Market analysis, by country

8.5.5.1.Latin America

8.5.5.1.1.Market size and forecast, by component
8.5.5.1.2.Market size and forecast, by type
8.5.5.1.3.Market size and forecast, by type of traders

8.5.5.2.Middle East

8.5.5.2.1.Market size and forecast, by component
8.5.5.2.2.Market size and forecast, by type
8.5.5.2.3.Market size and forecast, by type of traders

8.5.5.3.Africa

8.5.5.3.1.Market size and forecast, by component
8.5.5.3.2.Market size and forecast, by type
8.5.5.3.3.Market size and forecast, by type of traders

CHAPTER 9:COMPETITIVE LANDSCAPE

9.1.KEY PLAYER POSITIONING ANALYSIS, 2020
9.2.TOP WINNING STRATEGIES
9.3.COMPETITIVE DASHBOARD
9.4.KEY DEVELOPMENTS

9.4.1.New product launches
9.4.2.Collaboration
9.4.3.Acquisition
9.4.4.Partnership

CHAPTER 10:COMPANY PROFILE

10.1.63MOONS

10.1.1.Company overview
10.1.2.Key executives
10.1.3.Company snapshot
10.1.4.Product portfolio
10.1.5.Business performance
10.1.6.Key strategic moves and developments

10.2.VIRTU FINANCIAL

10.2.1.Company overview
10.2.2.Key executives
10.2.3.Company snapshot
10.2.4.Product portfolio
10.2.5.Business performance
10.2.6.Key strategic moves and developments

10.3.SOFTWARE AG

10.3.1.Company overview
10.3.2.Key executive
10.3.3.Company snapshot
10.3.4.Product portfolio
10.3.5.R&D expenditure
10.3.6.Business performance
10.3.7.Key strategic moves and developments

10.4.REFINITIV LTD.

10.4.1.Company overview
10.4.2.Key executive
10.4.3.Company snapshot
10.4.4.Operating business segments
10.4.5.Product portfolio
10.4.6.Business performance
10.4.7.Key strategic moves and developments

10.5.METAQUOTES SOFTWARE CORP.

10.5.1.Company overview
10.5.2.Key executive
10.5.3.Company snapshot
10.5.4.Product portfolio
10.5.5.Key strategic moves and developments

10.6.SYMPHONY FINTECH SOLUTIONS PVT LTD.

10.6.1.Company overview
10.6.2.Key executive
10.6.3.Company snapshot
10.6.4.Product portfolio
10.6.5.Key strategic moves and developments

10.7.ARGO SE

10.7.1.Company overview
10.7.2.Key executives
10.7.3.Company snapshot
10.7.4.Product portfolio
10.7.5.Key strategic moves and developments

10.8.TATA CONSULTANCY SERVICES

10.8.1.Company overview
10.8.2.Key executive
10.8.3.Company snapshot
10.8.4.Product portfolio
10.8.5.R&D expenditure
10.8.6.Business performance
10.8.7.Key strategic moves and developments

10.9.ALGO TRADER AG

10.9.1.Company overview
10.9.2.Key executive
10.9.3.Company snapshot
10.9.4.Product portfolio
10.9.5.Key strategic moves and developments

10.10.TETHYS

10.10.1.Company overview
10.10.2.Key Executives
10.10.3.Company snapshot
10.10.4.Product portfolio
10.10.5.Key strategic moves and developments

LIST OF TABLES

TABLE 01.ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 02.ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 03.ALGORITHMIC TRADING MARKET FOR SERVICES, BY REGION, 20202028 ($MILLION)
TABLE 04.ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 05.ALGORITHMIC TRADING MARKET FOR STOCK MARKETS, BY REGION, 20202028 ($MILLION)
TABLE 06.FOREX-BASED ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 07.ETF-BASED ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 08.BONDS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 09.BONDS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 10.OTHERS-BASED ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 11.ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE, 20202028 ($MILLION)
TABLE 12.ALGORITHMIC TRADING MARKET FOR ON-PREMISE, BY REGION, 20202028 ($MILLION)
TABLE 13.ALGORITHMIC TRADING MARKET FOR CLOUD, BY REGION, 20202028 ($MILLION)
TABLE 14.ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 15.ALGORITHMIC TRADING MARKET FOR INSTITUTIONAL INVESTORS, BY REGION, 20202028 ($MILLION)
TABLE 16.ALGORITHMIC TRADING MARKET FOR LONG-TERM TRADERS, BY REGION, 20202028 ($MILLION)
TABLE 17.ALGORITHMIC TRADING MARKET FOR SHORT-TERM TRADERS, BY REGION, 20202028 ($MILLION)
TABLE 18.ALGORITHMIC TRADING MARKET FOR GOVERNMENT AND EDUACTION, BY REGION, 20202028 ($MILLION)
TABLE 19.ALGORITHMIC TRADING MARKET FOR IT AND TELECOM, BY REGION, 20202028 ($MILLION)
TABLE 20.ALGORITHMIC TRADING MARKET, BY REGION, 20202028 ($MILLION)
TABLE 21.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 22.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 23.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 24.NORTH AMERICA ALGORITHMIC TRADING MARKET, BY COUNTRY, 20202028 ($MILLION)
TABLE 25.U.S. ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 26.U.S. ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 27.U.S. ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 28.CANADA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 29.CANADA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 30.CANADA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 31.EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 32.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 33.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 34.EUROPE ALGORITHMIC TRADING MARKET, BY COUNTRY, 20202028 ($MILLION)
TABLE 35.GERMANY ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 36.GERMANY ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 37.GERMANY ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 38.UK ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 39.UK ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 40.UK ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 41.FRANCE ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 42.FRANCE ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 43.FRANCE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 44.SPAIN ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 45.SPAIN ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 46.SPAIN ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 47.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 48.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 49.REST OF EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 50.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 51.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 52.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 53.ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COUNTRY, 20202028 ($MILLION)
TABLE 54.CHINA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 55.CHINA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 56.CHINA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 57.INDIA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 58.INDIA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 59.INDIA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 60.JAPAN ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 61.JAPAN ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 62.JAPAN ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 63.AUSTRALIA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 64.AUSTRALIA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 65.AUSTRALIA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 66.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 67.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 68.SOUTH KOREA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 69.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 70.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 71.REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 72.EUROPE ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 73.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 74.EUROPE ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 75.EUROPE ALGORITHMIC TRADING MARKET, BY COUNTRY, 20202028 ($MILLION)
TABLE 76.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 77.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 78.LATIN AMERICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 79.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 80.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 81.MIDDLE EAST ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 82.AFRICA ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
TABLE 83.AFRICA ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
TABLE 84.AFRICA ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
TABLE 85.KEY NEW PRODUCT LAUNCHES (2017-2020)
TABLE 86.COLLABORATION (2017-2020)
TABLE 87.ACQUISTION (2017-2020)
TABLE 88.PARTNERSHIP (2017-2020)
TABLE 89.63 MOONS: KEY EXECUTIVES
TABLE 90.63 MOONS: COMPANY SNAPSHOT
TABLE 91.63 MOONS: PRODUCT PORTFOLIO
TABLE 92.VIRTU FINANCIAL.: KEY EXECUTIVES
TABLE 93.VIRTU FINANCIAL: COMPANY SNAPSHOT
TABLE 94.VIRTU FINANCIAL: PRODUCT PORTFOLIO
TABLE 95.SOFTWARE AG: KEY EXECUTIVE
TABLE 96.SOFTWARE AG: COMPANY SNAPSHOT
TABLE 97.SOFTWARE AG: PRODUCT PORTFOLIO
TABLE 98.REFINITIV LTD.: KEY EXECUTIVE
TABLE 99.REFINITIV LTD.: COMPANY SNAPSHOT
TABLE 100.LONDON STOCK EXCHANGE GROUP: OPERATING SEGMENTS
TABLE 101.REFINITIV LTD.: PRODUCT PORTFOLIO
TABLE 102.METAQUOTES SOFTWARE CORPORATION: KEY EXECUTIVE
TABLE 103.METAQUOTES SOFTWARE CORPORATION: COMPANY SNAPSHOT
TABLE 104.METAQUOTES SOFTWARE CORPORATION: PRODUCT PORTFOLIO
TABLE 105.SYMPHONY FINTECH SOLUTIONS PVT LTD.: KEY EXECUTIVE
TABLE 106.SYMPHONY FINTECH SOLUTIONS PVT LTD.: COMPANY SNAPSHOT
TABLE 107.SYMPHONY FINTECH SOLUTIONS PVT LTD.: PRODUCT PORTFOLIO
TABLE 108.SYMPHONY FINTECH SOLUTIONS PVT LTD.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 109.ARGO SE: KEY EXECUTIVES
TABLE 110.ARGO SE: COMPANY SNAPSHOT
TABLE 111.ARGO SE: PRODUCT PORTFOLIO
TABLE 112.TATA CONSULTANCY SERVICES: KEY EXECUTIVE
TABLE 113.TATA CONSULTANCY SERVICES: COMPANY SNAPSHOT
TABLE 114.TATA CONSULTANCY SERVICES: PRODUCT PORTFOLIO
TABLE 115.ALGO TRADER: KEY EXECUTIVE
TABLE 116.ALGO TRADER AG: COMPANY SNAPSHOT
TABLE 117.ALGO TRADER AG: PRODUCT PORTFOLIO
TABLE 118.TETHYS TECHNOLOGY, INC: KEY EXECUTIVES
TABLE 119.TETHYS TECHNOLOGY, INC. COMPANY SNAPSHOT
TABLE 120.TETHYS TECHNOLOGY, INC.: PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01.KEY MARKET SEGMENTS
FIGURE 02.ALGORITHMIC TRADING MARKET SNAPSHOT, BY SEGMENT, 20202028
FIGURE 03.ALGORITHMIC TRADING MARKET SNAPSHOT, BY COUNTRY, 20202028
FIGURE 04.TOP IMPACTING FACTORS
FIGURE 05.TOP INVESTMENT POCKETS
FIGURE 06.MODERATE-TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 07.MODERATE-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 08.MODERATE THREAT OF SUBSTITUTES
FIGURE 09.MODERATE-TO-HIGH THREAT OF NEW ENTRANTS
FIGURE 10.HIGH COMPETITIVE RIVALRY
FIGURE 11.MARKET DYNAMICS: GLOBAL ALGORITHMIC TRADING MARKET
FIGURE 12.PATENT ANALYSIS, BY REGION
FIGURE 13.PATENT ANALYSIS, BY APPLICANT
FIGURE 14.ALGORITHMIC TRADING MARKET, BY COMPONENT, 20202028 ($MILLION)
FIGURE 15.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 16.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR SERVICES, BY COUNTRY, 2020 & 2028 (%)
FIGURE 17.ALGORITHMIC TRADING MARKET, BY TYPE, 20202028 ($MILLION)
FIGURE 18.COMPARATIVE SHARE ANALYSIS OF STOCK MARKETS ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 19.COMPARATIVE SHARE ANALYSIS OF FOREX-BASED ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 20.COMPARATIVE SHARE ANALYSIS OF ETF-BASED ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 21.COMPARATIVE SHARE ANALYSIS OF BONDS-BASED ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 22.COMPARATIVE SHARE ANALYSIS OF BONDS-BASED ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 23.COMPARATIVE SHARE ANALYSIS OF OTHERS-BASED ALGORITHMIC TRADING MARKET, BY COUNTRY, 2020 & 2028 (%)
FIGURE 24.ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE, 20202028 ($MILLION)
FIGURE 25.COMPARATIVE SHARE ANALYSIS OF STOCK MARKETS ALGORITHMIC TRADING MARKET FOR ON-PREMISE, BY COUNTRY, 2020 & 2028 (%)
FIGURE 26.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR CLOUD, BY COUNTRY, 2020 & 2028 (%)
FIGURE 27.ALGORITHMIC TRADING MARKET, BY TYPE OF TRADERS, 20202028 ($MILLION)
FIGURE 28.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR INSTITUTIONAL INVESTORS, BY COUNTRY, 2020 & 2028 (%)
FIGURE 29.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR LONG-TERM TRADERS, BY COUNTRY, 2020 & 2028 (%)
FIGURE 30.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR SHORT-TERM TRADERS, BY COUNTRY, 2020 & 2028 (%)
FIGURE 31.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR GOVERNMENT AND EDUACTION, BY COUNTRY, 2020 & 2028 (%)
FIGURE 32.COMPARATIVE SHARE ANALYSIS OF ALGORITHMIC TRADING MARKET FOR TRANSPORT & LOGISTIC, BY COUNTRY, 2020 & 2028 (%)
FIGURE 33.U.S. ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 34.CANADA ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 35.GERMANY ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 36.UK ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 37.FRANCE ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 38.SPAIN ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 39.REST OF EUROPE ALGORITHMIC TRADING MARKET, 20202028 ($MILLION)
FIGURE 40.CHINA ALGORITH

Major Companies

  • 63MOONS
  • Virtu Financial
  • Software AG
  • Refinitiv Ltd.
  • MetaQuotes Software Corp.
  • Symphony Fintech Solutions Pvt Ltd.
  • Argo SE,
  • Tata Consultancy Services
  • Algo Trader AG
  • Tethys

Major Segmentation

By Component

  • Solution
  • Services

In Type

  • Stock Markets
  • FOREX
  • ETF
  • Bonds
  • Cryptocurrencies
  • Other

In Deployment Mode

  • Cloud
  • On-Premise

For Types Of Traders

  • Institutional Investors
  • Long-Term Traders
  • Short-Term Traders
  • Retail Investors

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