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Algorithmic Trading Market by Trading Type (FOREX, Stock Markets, ETF, Bonds, Cryptocurrencies), Component (Solutions and Services), Deployment Mode (Cloud and On-premises), Enterprise Size, and Region - Global Forecast to 2024

  • ID: 4770543
  • Report
  • Region: Global
  • 144 Pages
  • Markets and Markets
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The global algorithmic trading market size to grow at a Compound Annual Growth Rate (CAGR) of 11.1% during the forecast period

The researchers forecast the global algorithmic trading market size to grow from USD 11.1 billion in 2019 to USD 18.8 billion by 2024, at a CAGR of 11.1% during 2019–2024. The major growth drivers of the algorithmic trading market include the increasing demand for fast and effective order execution, and reducing transaction costs. The lack of monitoring and insufficient risk valuation capabilities may restrain the growth of the algorithmic trading market.

The platforms segment to grow at a higher CAGR during the forecast period

The algorithmic trading market is segmented on the basis of solutions, such as platforms and software tools. The platforms segment is expected to grow at a rapid pace during the forecast period. An efficient algorithmic trading platform provides maximum control and high speed for consistent and profitable outputs.

The Exchange Traded Fund (ETF) segment to grow at the highest CAGR during the forecast period

The algorithmic trading market by trading type has been segmented into Foreign Exchange (FOREX), stock markets, ETF, bonds, cryptocurrencies, and others (commodities, assets, Credit Default Swaps, (CDS), Interest Rate Swaps (IRS), and collateral mortgage). The ETF segment to grow at the highest CAGR during the forecast period, due to the growing demand for automated trading and enhanced trading experiences.

Among regions, Asia Pacific (APAC) to grow at the highest CAGR during the forecast period

APAC is expected to grow at the highest CAGR during the forecast period. The increasing investments by the tech companies in major APAC countries, such as China, India, Australia, and Japan, and growing government regulations are expected to drive the growth of the market in APAC.

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, hedge fund managers, and executives from various key organizations operating in the algorithmic trading market.

  • By Company: Tier I: 15%, Tier II: 42%, and Tier III: 43%
  • By Designation: C-Level: 62%, Director-Level: 20%, and Others: 18%
  • By Region: North America: 40%, APAC: 30%, Europe: 20%, MEA: 5%, and Latin America: 5%

The report includes the study of the key players offering algorithmic trading solutions. It profiles major vendors in the global algorithmic trading market. The major vendors 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 Consulting Services (India), QuantCore Capital Management (China), iRageCapital (India), Automated Trading SoftTech (India), Tethys (US), Trading Technologies (US), uTrade (India), Vela (US), and AlgoTrader (Switzerland). It also includes an in-depth competitive analysis of the key players in the algorithmic trading market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Research coverage

The report segments the global algorithmic trading market by component, solution, service, trading type, deployment mode, enterprise size, and region. The algorithmic trading market by trading type is divided into FOREX, stock markets, ETF, bonds, cryptocurrencies, and others (commodities, assets, CDS, IRS, and collateral mortgage) categories. The component segment comprises solutions and services. The solutions segment is further segmented into platforms and software tools. The services segment is divided into professional services and managed services. The algorithmic trading market by deployment mode is segmented into cloud and on-premises. On the basis of enterprise size, the algorithmic trading market is divided into Small and Medium-sized Enterprises (SMEs) and large enterprises. The report also covers the algorithmic trading market with respect to 5 major regions: North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).

The report would help the market leaders and new entrants in the global algorithmic trading market in the following ways:

  • The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across trading types and regions.
  • It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
  • It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.
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1 Introduction 
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders

2 Research Methodology 
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study

3 Executive Summary 

4 Premium Insights 
4.1 Attractive Market Opportunities in the Algorithmic Trading Market
4.2 Market: Top 3 Trading Types
4.3 Market: Top 3 Trading Types and Regions
4.4 Market, By Trading Type

5 Market Overview and Industry Trends 
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Demand for Fast, Reliable, and Effective Order Execution and Reduced Transaction Costs
5.2.1.2 Increasing Government Regulations and Growing Demand for Market Surveillance
5.2.1.3 Growing Adoption of Cloud-Based Solutions
5.2.2 Restraints
5.2.2.1 Lack of Monitoring and Insufficient Risk Valuation Capabilities
5.2.3 Opportunities
5.2.3.1 Algorithmic Trading to Have No Impact of Human Emotions
5.2.3.2 Emergence of Ai and Algorithms in Financial Services Sector
5.2.4 Challenges
5.2.4.1 Lack of Accuracy and Consistency in Algorithms
5.3 Use Cases
5.3.1 Introduction
5.3.1.1 Use Case: Scenario 1
5.3.1.2 Use Case: Scenario 2
5.3.1.3 Use Case: Scenario 3
5.3.1.4 Use Case: Scenario 4
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation
5.4.3 Markets in Financial Instruments Directive Ii
5.4.4 Markets in Financial Instruments Regulation
5.4.5 Securities and Exchange Commission
5.4.6 Commodity Futures Trading Commission
5.5 Algorithmic Trading Architecture

6 Algorithmic Trading Market, By Trading Type 
6.1 Introduction
6.2 Foreign Exchange
6.2.1 Need for Automated Trading to Drive Market in Forex Segment
6.3 Stock Markets
6.3.1 Stock Markets to Gain Traction in Coming Years
6.4 Exchange-Traded Funds
6.4.1 Exchange-Traded Funds Provide Lower Average Costs for Trading Process to Drive Market
6.5 Bonds
6.5.1 Increasing Demand for Financing Projects and Operations to Drive Adoption of Bonds in the Market
6.6 Cryptocurrencies
6.6.1 Cryptocurrencies Assist Traders in Performing Secure Trading Payments
6.7 Others

7 Market, By Component 
7.1 Introduction
7.2 Solutions
7.2.1 Platforms
7.2.1.1 Growing Demand for Algorithmic Trading Platform to Effectively Automate Trading Process and Maximize Profit
7.2.2 Software Tools
7.2.2.1 Rising Demand for Algorithmic Trading Tools to Automate Trading Strategies
7.3 Services
7.3.1 Professional Services
7.3.1.1 Increasing Demand for Consulting Services to Effectively Implement Algorithmic Trading Solutions
7.3.2 Managed Services
7.3.2.1 Organizations’ Need to Focus More on Core Tasks to Drive Demand for Managed Services in Coming Years

8 Algorithmic Trading Market, By Deployment Mode 
8.1 Introduction
8.2 Cloud
8.2.1 Cost-Effectiveness and Scalability Benefits to Boost Growth of Cloud Deployment Models
8.3 On-Premises
8.3.1 Data-Sensitive Organizations to Continue to Adopt On-Premises Deployment Models

9 Market, By Organization Size 
9.1 Introduction
9.2 Small and Medium-Sized Enterprises
9.2.1 Growing Potential of Algorithmic Trading to Drive Adoption of Algorithmic Trading Among Small and Medium-Sized Enterprises
9.3 Large Enterprises
9.3.1 Large Enterprises to Deploy Algorithmic Trading Solutions for Effectively Executing Trading Strategies

10 Market, By Region 
10.1 Introduction
10.2 North America
10.2.1 United States
10.2.1.1 Growing Implementation of Ai- and Ml-Based Solutions to Fuel the Demand for Algorithmic Trading in the US
10.2.2 Canada
10.2.2.1 Increase in Ai-Based Investments and Research Activities to Drive the Growth of the Market in Canada
10.3 Europe
10.3.1 United Kingdom
10.3.1.1 Growing Governance From Regulators to Fuel the Adoption of Algorithmic Trading Solutions in the UK
10.3.2 Germany
10.3.2.1 Increasing Adoption of Algorithmic Trading Solutions to Drive the Market in Germany
10.3.3 France
10.3.3.1 Heavy Inflow of Capital From Various Investors to Drive the Market in France
10.3.4 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.1.1 Growing Investments By Tech Giants to Expand and Provide Opportunities for the Development of Algorithmic Trading Market Solutions
10.4.2 Japan
10.4.2.1 Growing Government Regulations Helps Algorithmic Trading Solution Providers Improve Risk Management Practices in Japan
10.4.3 India
10.4.3.1 Lower Cost of Technology and Availability of Skilled Resources to Help the Algorithmic Trading Market Grow
10.4.4 Australia
10.4.4.1 Increasing Investments in Technologies to Help the Market to Grow
10.4.5 Rest of Asia Pacific
10.5 Middle East and Africa
10.5.1 United Arab Emirates
10.5.1.1 Complex Legal, Regulatory, and Economic Resolutions to Compel Organizations to Adopt Algorithmic Trading Solutions in UAE
10.5.2 Israel
10.5.2.1 Regulatory Compliance Backed By the Presence of Algorithmic Trading Vendors to Lead the Adoption of Algorithmic Trading Solutions in Israel
10.5.3 Rest of Middle East and Africa
10.6 Latin America
10.6.1 Brazil
10.6.1.1 Brazil to Witness the Highest Growth Rate in the Algorithmic Trading Market in Coming Years
10.6.2 Mexico
10.6.2.1 Mexico to Account for the Largest Market Size in the Algorithmic Trading Market in the Region
10.6.3 Rest of Latin America

11 Competitive Landscape 
11.1 Overview
11.2 Competitive Leadership Mapping
11.2.1 Visionary Leaders
11.2.2 Innovators
11.2.3 Dynamic Differentiators
11.2.4 Emerging Companies
11.3 Strength of Product Portfolio
11.4 Business Strategy Excellence

12 Company Profiles 
12.1 Introduction
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.2 Thomson Reuters
12.3 63 Moons
12.4 Virtu Financial
12.5 Software AG
12.6 MetaQuotes Software
12.7 Symphony
12.8 InfoReach
12.9 Argo SE
12.10 Kuberre Systems
12.11 Tata Consultancy Services
12.12 QuantCore Capital Management
12.13 iRageCapital
12.14 Automated Trading SoftTech
12.15 Tethys
12.16 Trading Technologies
12.17 uTrade
12.18 Vela
12.19 Algo Trader
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix 
13.1 Insights of Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details

List of Tables (64 Tables)
Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Factor Analysis
Table 3 Global Algorithmic Trading Market Size and Growth, 2017–2024 (USD Million, Y-O-Y %)
Table 4 Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 5 Forex: Market Size, By Region, 2017–2024 (USD Million)
Table 6 Stock Markets: Market Size, By Region, 2017–2024 (USD Million)
Table 7 Exchange-Traded Funds: Market Size, By Region, 2017–2024 (USD Million)
Table 8 Bonds: Market Size, By Region, 2017–2024 (USD Million)
Table 9 Cryptocurrencies: Market Size, By Region, 2017–2024 (USD Million)
Table 10 Others: Market Size, By Region, 2017–2024 (USD Million)
Table 11 Algorithmic Trading Market Size, By Component, 2017–2024 (USD Million)
Table 12 Algorithmic Trading Market Size, By Solution , 2017–2024 (USD Million)
Table 13 Platforms: Market Size, By Region, 2017–2024 (USD Million)
Table 14 Software Tools: Market Size, By Region, 2017–2024 (USD Million)
Table 15 Algorithmic Trading Market Size, By Service, 2017–2024 (USD Million)
Table 16 Professional Services: Market Size, By Region, 2017–2024 (USD Million)
Table 17 Managed Services: Market Size, By Region, 2017–2024 (USD Million)
Table 18 Algorithmic Trading Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 19 Cloud: Market Size, By Region, 2017–2024 (USD Million)
Table 20 On-Premises: Market Size, By Region, 2017–2024 (USD Million)
Table 21 Algorithmic Trading Market Size, By Organization Size, 2017–2024 (USD Million)
Table 22 Small and Medium-Sized Enterprises: Market Size, By Region, 2017–2024 (USD Million)
Table 23 Large Enterprises: Market Size, By Region, 2017–2024 (USD Million)
Table 24 Algorithmic Trading Market Size, By Region, 2017–2024 (USD Million)
Table 25 North America: Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 26 North America: Market Size, By Component, 2017–2024 (USD Million)
Table 27 North America: Market Size, By Solution, 2017–2024 (USD Million)
Table 28 North America: Market Size, By Service, 2017–2024 (USD Million)
Table 29 North America: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 30 North America: Market Size, By Enterprise Size, 2017–2024 (USD Million)
Table 31 North America: Market Size, By Country, 2017–2024 (USD Million)
Table 32 North America: Major Fintech Companies
Table 33 Europe: Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 34 Europe: Market Size, By Component, 2017–2024 (USD Million)
Table 35 Europe: Market Size, By Solution, 2017–2024 (USD Million)
Table 36 Europe: Market Size, By Service, 2017–2024 (USD Million)
Table 37 Europe: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 38 Europe: Market Size, By Enterprise Size, 2017–2024 (USD Million)
Table 39 Europe: Market Size, By Country, 2017–2024 (USD Million)
Table 40 Europe: Major Fintech Companies
Table 41 Asia Pacific: Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 42 Asia Pacific: Market Size, By Component, 2017–2024 (USD Million)
Table 43 Asia Pacific: Market Size, By Solution, 2017–2024 (USD Million)
Table 44 Asia Pacific: Market Size, By Service, 2017–2024 (USD Million)
Table 45 Asia Pacific: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 46 Asia Pacific: Market Size, By Enterprise Size, 2017–2024 (USD Million)
Table 47 Asia Pacific: Market Size, By Country, 2017–2024 (USD Million)
Table 48 Asia Pacific: Major Fintech Companies
Table 49 Middle East and Africa: Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 50 Middle East and Africa: Market Size, By Component, 2017–2024 (USD Million)
Table 51 Middle East and Africa: Market Size, By Solution, 2017–2024 (USD Million)
Table 52 Middle East and Africa: Market Size, By Service, 2017–2024 (USD Million)
Table 53 Middle East and Africa: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 54 Middle East and Africa: Market Size, By Enterprise Size, 2017–2024 (USD Million)
Table 55 Middle East and Africa: Market Size, By Country, 2017–2024 (USD Million)
Table 56 Middle East and Africa: Major Fintech Companies
Table 57 Latin America: Algorithmic Trading Market Size, By Trading Type, 2017–2024 (USD Million)
Table 58 Latin America: Market Size, By Component, 2017–2024 (USD Million)
Table 59 Latin America: Market Size, By Solution, 2017–2024 (USD Million)
Table 60 Latin America: Market Size, By Service, 2017–2024 (USD Million)
Table 61 Latin America: Market Size, By Deployment Mode, 2017–2024 (USD Million)
Table 62 Latin America: Market Size, By Enterprise Size, 2017–2024 (USD Million)
Table 63 Latin America: Market Size, By Country, 2017–2024 (USD Million)
Table 64 Latin America: Major Fintech Companies

List of Figures (40 Figures)
Figure 1 Global Algorithmic Trading Market: Research Design
Figure 2 Market: Top-Down and Bottom-Up Approaches
Figure 3 North America to Account for the Highest Market Share in 2019
Figure 4 Market Snapshot, By Component, 2019
Figure 5 Market Snapshot, By Solution, 2019
Figure 6 Market Snapshot, By Service, 2019
Figure 7 Market Snapshot, By Deployment Mode, 2019
Figure 8 Market Snapshot, By Enterprise Size, 2019
Figure 9 Increasing Demand for Fast, Reliable, and Effective Order Execution and Reduced Transactional Cost to Drive the Adoption of Algorithmic Trading
Figure 10 Exchange-Traded Fund Segment to Grow at the Highest CAGR During the Forecast Period
Figure 11 Stock Markets Segment and North America to Account for the Highest Market Shares in the Algorithmic Trading Market in 2019
Figure 12 Stock Markets Segment to Register the Highest Market Share in 2019
Figure 13 Asia Pacific to Be the Best Market for Investments During the Forecast Period
Figure 14 Drivers, Restraints, Opportunities, and Challenges: Algorithmic Trading Market
Figure 15 Architecture and Development: Algorithmic Trading Market
Figure 16 Exchange-Traded Fund Segment to Grow at the Highest CAGR During the Forecast Period
Figure 17 Services Segment to Record A Higher CAGR During the Forecast Period
Figure 18 Platforms Segment to Record A Higher CAGR During the Forecast Period
Figure 19 Managed Services Segment to Grow at A Higher CAGR During the Forecast Period
Figure 20 Cloud Segment to Grow at A Higher CAGR During the Forecast Period
Figure 21 Small and Medium-Sized Enterprises Segment to Grow at A Higher CAGR During the Forecast Period
Figure 22 North America to Hold the Largest Market Size During the Forecast Period
Figure 23 India to Register the Highest CAGR During the Forecast Period
Figure 24 Asia Pacific to Account for the Highest CAGR in 2019
Figure 25 North America: Market Snapshot
Figure 26 ETF Trading Type to Grow at the Highest CAGR During the Forecast Period
Figure 27 ETF Trading Type to Grow at the Highest CAGR During the Forecast Period
Figure 28 Asia Pacific: Market Snapshot
Figure 29 ETF Trading Type to Grow at the Highest CAGR During the Forecast Period
Figure 30 ETF Trading Type to Grow at the Highest CAGR During the Forecast Period
Figure 31 ETF Trading Type to Grow at the Highest CAGR During the Forecast Period
Figure 32 Algorithmic Trading Market (Global) Competitive Leadership Mapping, 2019
Figure 33 Thomson Reuters: Company Snapshot
Figure 34 Thomson Reuters: SWOT Analysis
Figure 35 63 Moons: Company Snapshot
Figure 36 63 Moons: SWOT Analysis
Figure 37 Virtu Financial: Company Snapshot
Figure 38 Virtu Financial: SWOT Analysis
Figure 39 Software AG: Company Snapshot
Figure 40 Software AG: SWOT Analysis

Note: Product cover images may vary from those shown
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  • 63 moons Technologies Limited (63 moons)
  • Argo Software Engineering (Argo SE)
  • InfoReach, Inc (InfoReach)
  • Kuberre Systems, Inc. (Kuberre)
  • MetaQuotes Software Corp. (MetaQuotes)
  • SAG Deutschland GmbH (Software AG)
  • Symphony Fintech Solutions Pvt. Ltd. (Symphony)
  • Thomson Reuters (Thomson Reuters)
  • VIRTU Financial Inc. (Virtu Financial)
Note: Product cover images may vary from those shown
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