Algorithmic Trading Market Research Report—Global Forecast till 2030

Algorithmic Trading Market Research Report: Information by Component (Solution and Services), Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies), Deployment Mode (Cloud and On-Premise), and Type of Traders (Institutional Investors, Long-Term Traders, Short-Term Traders, and Retail Investors), Organization Size (Small and Medium Enterprises and Large Enterprise) and Region (North America, Europe, Asia-Pacific, and Rest of the World)—Forecast till 2030

ID: MRFR/ICT/9363-HCR | June 2022 | Region: Global | 100 Pages         

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET INTRODUCTION

2.1. Market Definition

2.2. Scope of the Study

2.2.1. Research Objectives

2.2.2. Assumptions & Limitations

2.3. Market Structure

3. MARKET RESEARCH METHODOLOGY

3.1. Research Process

3.2. Secondary Research

3.3. Primary Research

3.4. Forecast Model

4. MARKET FACTOR ANALYSIS

4.1. Supply Chain Analysis

4.1.1. Raw Material Suppliers

4.1.2. Manufacturers/Producers

4.1.3. Distributors, Retailers, and Wholesalers

4.1.4. End Users

4.2. Porter’s Five Forces Analysis

4.2.1. Threat of New Entrants

4.2.2. Bargaining Power of Buyers

4.2.3. Bargaining Power of Suppliers

4.2.4. Threat of Substitutes

4.2.5. Internal Rivalry

4.3. Impact of COVID-19 on Global Algorithmic Trading Market

5. MARKET DYNAMICS OF THE GLOBAL ALGORITHMIC TRADING MARKET

5.1. Introduction

5.2. Drivers

5.3. Restraints

5.4. Opportunities

5.5. Challenges

6. GLOBAL ALGORITHMIC TRADING MARKET, BY COMPONENT

6.1. Introduction

6.2. Services

7. GLOBAL ALGORITHMIC TRADING MARKET, BY DEPLOYMENT MODE

7.1. Introduction

7.2. Cloud

7.3. On-Premise

8. GLOBAL ALGORITHMIC TRADING MARKET, BY TYPE OF TRADER

8.1. Introduction

8.2. Institutional Investors

8.3. Long-Term Traders

8.4. Short-Term Traders

8.5. Retail Investors

9. GLOBAL ALGORITHMIC TRADING MARKET, BY TYPE

9.1. Introduction

9.2. Stock Markets

9.3. FOREX

9.4. ETF

9.5. Bonds

9.6. Cryptocurrencies

9.7. Others

10. GLOBAL ALGORITHMIC TRADING MARKET, BY ORGANIZATION SIZE

10.1. Introduction

10.2. Small and Medium Enterprises

10.3. Large Enterprises

11. GLOBAL ALGORITHMIC TRADING MARKET, BY REGION

11.1. Introduction

11.2. North America

11.2.1. US

11.2.2. Canada

11.3. Europe

11.3.1. Germany

11.3.2. UK

11.3.3. France

11.3.4. Spain

11.3.5. Italy

11.3.6. Rest of Europe

11.4. Asia-Pacific

11.4.1. China

11.4.2. Japan

11.4.3. India

11.4.4. Australia & New Zealand

11.4.5. Rest of Asia-Pacific

11.5. Rest of the World

11.5.1. South America

11.5.2. Middle East

11.5.3. Africa

12. COMPETITIVE LANDSCAPE

12.1. Introduction

12.2. Market Strategy

12.3. Key Development Analysis

(Expansions/Mergers & Acquisitions/Joint Ventures/New Service Developments/Agreements/Investments)

13. COMPANY PROFILES

13.1. Thomson Reuters

13.1.1. Company Overview

13.1.2. Financial Updates

13.1.3. Business Segment Overview

13.1.4. Strategies

13.1.5. Key Developments

13.1.6. SWOT Analysis

13.2. 63 Moons

13.2.1. Company Overview

13.2.2. Financial Updates

13.2.3. Business Segment Overview

13.2.4. Strategies

13.2.5. Key Developments

13.2.6. SWOT Analysis

13.3. Virtu Financial

13.3.1. Company Overview

13.3.2. Financial Updates

13.3.3. Business Segment Overview

13.3.4. Strategies

13.3.5. Key Developments

13.3.6. SWOT Analysis

13.4. Software AG

13.4.1. Company Overview

13.4.2. Financial Updates

13.4.3. Business Segment Overview

13.4.4. Strategies

13.4.5. Key Developments

13.4.6. SWOT Analysis

13.5. MetaQuotes Software

13.5.1. Company Overview

13.5.2. Financial Updates

13.5.3. Business Segment Overview

13.5.4. Strategies

13.5.5. Key Developments

13.5.6. SWOT Analysis

13.6. iRageCapital

13.6.1. Company Overview

13.6.2. Financial Updates

13.6.3. Business Segment Overview

13.6.4. Strategies

13.6.5. Key Developments

13.6.6. SWOT Analysis

13.7. Automated Trading SoftTech

13.7.1. Company Overview

13.7.2. Financial Updates

13.7.3. Business Segment Overview

13.7.4. Strategies

13.7.5. Key Developments

13.7.6. SWOT Analysis

13.8. Tethys

13.8.1. Company Overview

13.8.2. Financial Updates

13.8.3. Business Segment Overview

13.8.4. Strategies

13.8.5. Key Developments

13.8.6. SWOT Analysis

13.9. Trading Technologies

13.9.1. Company Overview

13.9.2. Financial Updates

13.9.3. Business Segment Overview

13.9.4. Strategies

13.9.5. Key Developments

13.9.6. SWOT Analysis

13.10. uTrade

13.10.1. Company Overview

13.10.2. Financial Updates

13.10.3. Business Segment Overview

13.10.4. Strategies

13.10.5. Key Developments

13.10.6. SWOT Analysis

13.11. Vela

13.11.1. Company Overview

13.11.2. Financial Updates

13.11.3. Business Segment Overview

13.11.4. Strategies

13.11.5. Key Developments

13.11.6. SWOT Analysis

13.12. AlgoTrader

13.12.1. Company Overview

13.12.2. Financial Updates

13.12.3. Business Segment Overview

13.12.4. Strategies

13.12.5. Key Developments

13.12.6. SWOT Analysis

14. CONCLUSION

LIST OF TABLES

TABLE 1 Global Algorithmic Trading Market, by Region, 2019-2030 (USD Million)

TABLE 2 Global Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 3 Global Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 4 Global Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 5 Global Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 6 Global Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 7 North America: Algorithmic Trading Market, by Country, 2019-2030 (USD Million)

TABLE 8 North America: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 9 North America: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 10 North America: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 11 North America: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 12 North America: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 13 US: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 14 US: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 15 US: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 16 US: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 17 US: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 18 Canada: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 19 Canada: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 20 Canada: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 21 Canada: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 22 Canada: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 23 Europe: Algorithmic Trading Market, by Country, 2019-2030 (USD Million)

TABLE 24 Europe: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 25 Europe: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 26 Europe: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 27 Europe: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 28 Europe: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 29 Germany: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 30 Germany: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 31 Germany: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 32 Germany: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 33 Germany: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 34 France: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 35 France: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 36 France: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 37 France: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 38 France: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 39 Italy: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 40 Italy: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)\

TABLE 41 Italy: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 42 Italy: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 43 Italy: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 44 Spain: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 45 Spain: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 46 Spain: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 47 Spain: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 48 Spain: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 49 UK: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 50 UK: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 51 UK: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 52 UK: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 53 UK: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 54 Rest of Europe: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 55 Rest of Europe: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 56 Rest of Europe: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 57 Rest of Europe: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 58 Rest of Europe: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 59 Asia-Pacific: Algorithmic Trading Market, by Country, 2019-2030 (USD Million)

TABLE 60 Asia-Pacific: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 61 Asia-Pacific: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 62 Asia-Pacific: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 63 Asia-Pacific: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 64 Asia-Pacific: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 65 China: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 66 China: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 67 China: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 68 China: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 69 China: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 70 India: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 71 India: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 72 India: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 73 India: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 74 India: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 75 Japan: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 76 Japan: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 77 Japan: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 78 Japan: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 79 Japan: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 80 Australia & New Zealand: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 81 Australia & New Zealand: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 82 Australia & New Zealand: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 83 Australia & New Zealand: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 84 Australia & New Zealand: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 85 Rest of Asia-Pacific: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 86 Rest of Asia-Pacific: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 87 Rest of Asia-Pacific: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 88 Rest of Asia-Pacific: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 89 Rest of Asia-Pacific: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 90 Rest of the World (RoW): Algorithmic Trading Market, by Region, 2019-2030 (USD Million)

TABLE 91 Rest of the World (RoW): Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 92 Rest of the World (RoW): Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 93 Rest of the World (RoW): Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 94 Rest of the World (RoW): Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 95 Rest of the World (RoW): Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 96 South America: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 97 South America: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 98 South America: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 99 South America: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 100 South America: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 101 Middle East: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 102 Middle East: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 103 Middle East: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 104 Middle East: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 105 Middle East: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

TABLE 106 Africa: Algorithmic Trading Market, by Component, 2019-2030 (USD Million)

TABLE 107 Africa: Algorithmic Trading Market, by Deployment Mode, 2019-2030 (USD Million)

TABLE 108 Africa: Algorithmic Trading Market, by Type of Trader, 2019-2030 (USD Million)

TABLE 109 Africa: Algorithmic Trading Market, by Type, 2019-2030 (USD Million)

TABLE 110 Africa: Algorithmic Trading Market, by Organization Size, 2019-2030 (USD Million)

LIST OF FIGURES

FIGURE 1 Global Algorithmic Trading Market Segmentation

FIGURE 2 Research Methodology

FIGURE 3 Five Forces Analysis of the Global Algorithmic Trading Market

FIGURE 4 Value Chain of the Global Algorithmic Trading Market

FIGURE 5 Share of the Global Algorithmic Trading Market in 2020, by Country (%)

FIGURE 6 Global Algorithmic Trading Market, by Region, 2019–2030

FIGURE 7 Global Algorithmic Trading Market Share, by Component, 2021 (%)

FIGURE 8 Global Algorithmic Trading Market, by Component, 2019–2030

FIGURE 9 Global Algorithmic Trading Market Share, by Deployment Mode, 2021 (%)

FIGURE 10 Global Algorithmic Trading Market, by Deployment Mode, 2019–2030

FIGURE 11 Global Algorithmic Trading Market Share, by Type of Trader, 2021 (%)

FIGURE 12 Global Algorithmic Trading Market, by Type of Trader, 2019–2030

FIGURE 13 Global Algorithmic Trading Market Share, by Type, 2021 (%)

FIGURE 14 Global Algorithmic Trading Market, by Type, 2019–2030

FIGURE 15 Global Algorithmic Trading Market Share, by Organization Size, 2021 (%)

FIGURE 16 Global Algorithmic Trading Market, by Organization Size, 2019–2030

Algorithmic Trading Market Overview


The global Algorithmic Trading market size is projected to grow at a CAGR of 13.1% from 2021 to 2030.


Algorithmic trading, also known as automated trading or black-box trading, is a form of computer automation in which algorithms are used to generate orders without the intervention of humans. These programs are commonly used by online traders who want to execute large quantities of transactions quickly and efficiently. Algorithmic traders allow investors to trade multiple markets and take advantage of short-term price movements by sending buy or sell orders based on specific criteria such as volume and price changes. For example, a trader could program an algorithmic trader to automatically buy one share at $30 whenever the price rises above that level for 5 minutes and sell it five minutes later at $31 if the price rises further. This type of software allows users to eliminate human error from their strategies.


COVID-19 Impact Analysis


The COVID-19 outbreak has had little impact on the growth of the algorithmic trading market. The adoption of algorithmic trading solutions has increased in the face of unprecedented circumstances. The COVID-19 pandemic has significantly fueled the growth rate of the algorithmic trading market, owing to the increased shift toward algo trading for taking decisions at a very rapid pace by reducing human errors. For example, the Reserve Bank of Australia, in its recent publication stated that they may have only furthered the industry’s shift toward electronic trading.


Market Dynamics


Market growth for algorithmic trading is primarily driven by demand for reliable, fast, and effective order execution; the emergence of favorable regulatory policies; and requirements for market monitoring. However, shortcomings in risk valuation may slow down the industry growth to some extent. On the other hand, the emergence of AI and algorithms in financial services provides an opportunity for development during the forecast period.


Drivers



  • Increasing demand for efficient Algorithmic Trading


Algorithmic trading is rapidly being used by big brokerage houses as well as institutional investors to cut down on costs associated with trading. This rapid use is attributed to the fact that algorithmic trading makes it easier and faster to execute orders, making it attractive for exchanges. In addition, it enables traders and investors to quickly book profits off small changes in price. Therefore, the rise in demand for effective trade drives the growth of the algorithmic trading market, as it enables users to quickly execute trades.


Restraint:



  • Strict regulations and low acceptance across many countries


Regulatory authorities across the world have been tightening their grip on the use of algorithmic trading in the financial sector to make sure that their market is secure and beneficial for the clients. With the increase in the adoption of automated systems to conduct trading activities, there is a greater need for regulators to step in and check for potential loopholes that could be exploited via the system. If a market will be technologically advanced, there will be a greater need for advanced risk management solutions as well, which is a necessity for the market to grow.


Opportunity:



  • Rapid Adoption of AI in Financial Services


There is a high adoption rate of Artificial Intelligence and Machine Learning among data-driven companies which are operating in the banking, insurance, and asset management industry, and is using AI for their digital distribution platforms for managing customer information and cryptocurrency trading. This has resulted in a rapidly growing demand for the adoption of automated data analytics in the investment sector over the forecast timeline by emerging new developments in the field. Consequently, increasing market penetration of these advanced technologies at a faster pace will increase its demand substantially while bringing fresh opportunities to clients.


Segment Overview


By Component


Based on Components, the global algorithmic trading market has been divided into solutions and services. The solution segment held the largest share in the global algorithmic trading market for the year 2021 and is anticipated to maintain its dominance throughout the forecast period.


By Type


Based on type, the global algorithmic trading market has been divided into Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies, and Others. The ETF segment is anticipated to experience highest growth in the global algorithmic trading market in the coming years, owing to the increasing demand for automated trading across the globe.


By Type of Traders


By type of traders, the global algorithmic trading market has been segmented into Institutional Investors, Long-Term Traders, Short-Term Traders, and Retail Investors. The Institutional Investors segment held the largest market share in the global algorithmic trading market for the year 2021. Algorithmic trading is used by institutional investors and large brokerage firms as a way to reduce trading expenses.  It is particularly helpful for high-volume orders.


By Deployment Mode


On the basis of deployment mode, the global Algorithmic Trading market has been segmented as Cloud and On-Premise. The Cloud segment is estimated hold the largest market share in the global Algorithmic Trading market for the year 2022 as it helps the vendors gain maximum profits and effectively automate the trading process.


By Organization Size


The global Algorithmic Trading market has been segmented into Small and Medium Enterprises and Large Enterprises. The Large Enterprises segment is expected to hold the largest market share in the global Algorithmic Trading market for the year 2022. However, the Small and Medium Enterprises are expected to witness the highest CAGR in the forecast years as the number of such enterprises is increasing rapidly.


Regional Analysis


By region, the global Algorithmic Trading market has been divided into North America, Europe, Asia-Pacific, and the Rest of the World. North America accounted for the largest market. Asia Pacific is projected to exhibit the highest CAGR during the review period.


Asia-Pacific Market


The Asia-Pacific region is expected to witness the most growth during the forecast period. The region is widely considered one of the most booming and upcoming regions in the world right now. There is a massive influx of foreign investment in many countries into sectors such as real estate and technology, but especially technology - and it is no surprise that algorithmic trading will see a boom and progress here due to this high standard of investments available.


North America Market


North America dominates the market on all fronts when it comes to trading and investing. The region has a lot of money to invest in new technologies and tools, which means a lot of people have money to use when they're gambling online or making asset purchases; and a government that backs them up with copious funds. In addition, there are many agencies based here, that have access to limited amounts of personal data making it easier for them to funnel funds into their own businesses and thus enabling them to grow at an even faster rate than usual.


Competitive Landscape


The market comprises tier-1, tier-2, and local players. The tier-1 and tier-2 players have presence across the globe with diverse product portfolios. Companies such as Thomson Reuters (US), 63 moons (India), Virtu Financial (US), and Software AG (Germany), dominate the global algorithmic trading market due to product differentiation, financial stability, and strategic developments, and diversified regional presence. The players are focused on investing in research and development. Furthermore, they adopt strategic growth initiatives, such as expansion, product launches, joint ventures, and partnerships, to strengthen their market position and capture a large customer base.


Prominent players in the global algorithmic trading market include Thomson Reuters (US), 63 moons (India), Virtu Financial (US), Software AG (Germany), MetaQuotes Software (Cyprus), Symphony Fintech (India), InfoReach (US), Argo SE (US), Kuberre Systems (US), Tata Consultancy Services (India), QuantCore Capital Management (China), iRageCapital (India), Automated Trading SoftTech (India), Tethys(US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland)


Scope of the Report


Global Algorithmic Trading Market, by Component



  • Solution

  • Services


Global Algorithmic Trading Market, by Deployment Mode



  • Cloud

  • On-Premise


Global Algorithmic Trading Market, by Type of Trader



  • Institutional Investors

  • Long-Term Traders

  • Short-Term Traders

  • Retail Investors


Global Algorithmic Trading Market, by Type



  • Stock Markets

  • FOREX

  • ETF

  • Bonds

  • Cryptocurrencies

  • Others


Global Algorithmic Trading Market, by Organization Size



  • Small and Medium Enterprises

  • Large Enterprises


Global Algorithmic Trading Market, by Region



  • North America

    • US

    • Canada



  • Europe

    • UK

    • Germany

    • France

    • Italy

    • Spain

    • Rest of Europe



  • Asia-Pacific

    • China

    • India

    • Japan

    • Australia and New Zealand

    • Rest of Asia-Pacific



  • Rest of the World

    • South America

    • Middle East

    • Africa




Objectives of the Study


The objectives of the study are summarized in 5 stages. They are as mentioned below:


Market Size and Forecast:


To identify and estimate the market size for the global Algorithmic Trading market segmented by product type, material type, category, shape, and distribution channel by value (in US dollars). Also, to understand the consumption/ demand created by consumers of Algorithmic Trading from 2019 to 2030


Market Landscape and Trends:


To identify and infer, the drivers, restraints, opportunities, and challenges for the global Algorithmic Trading market


Market Influencing Factors:


To find out the factors which are affecting the sales of Algorithmic Tradings among consumers


Impact of COVID-19:


To identify and understand the various factors involved in the global Algorithmic Trading market affected by the pandemic


Company Profiling:


To provide a detailed insight into the major companies operating in the algorithmic trading market. The profiling will include the financial health of the company past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.


Intended Audience



  • Algo Traders

  • Enterprises

  • Governments, Associations, and Industrial Bodies

  • Investors and Trade Experts



Report Scope:
Report Attribute/Metric Details
  Market Size   2030: USD XX Million
  CAGR   13.1% CAGR (2022-2030)
  Base Year   2021
  Forecast Period   2022-2030
  Historical Data   2019, 2020
  Forecast Units   Value (USD Million)
  Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
  Segments Covered   Component, Deployment, Type, Type of Trader, and Organization Size
  Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
  Key Vendors   Thomson Reuters (US), 63 moons (India), Virtu Financial (US), Software AG (Germany), MetaQuotes Software (Cyprus), iRageCapital (India), Automated Trading SoftTech (India), Tethys (US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland).
  Key Market Opportunities   Rapid Adoption of AI in Financial Services.
  Key Market Drivers   Increasing demand for efficient Algorithmic Trading


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Frequently Asked Questions (FAQ) :

The study period of the global Algorithmic Trading market is 2019 - 2030

The global Algorithmic Trading market is growing at a CAGR of ~ 13.1% over the next 10 years

Asia Pacific is expected to register the highest CAGR during 2022 - 2030

Thomson Reuters (US), 63 moons (India), Virtu Financial (US), Software AG (Germany), MetaQuotes Software (Cyprus), iRageCapital (India), Automated Trading SoftTech (India), Tethys (US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland).