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市場調查報告書

演算法交易的全球市場預測 ∼2024年:外匯、股市、投資信託、證券、加密電子貨幣

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

出版商 MarketsandMarkets 商品編碼 839493
出版日期 內容資訊 英文 144 Pages
訂單完成後即時交付
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演算法交易的全球市場預測 ∼2024年:外匯、股市、投資信託、證券、加密電子貨幣 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
出版日期: 2019年05月09日內容資訊: 英文 144 Pages
簡介

全球演算法交易市場預計將從2019年的111億美元到2024年擴大到108億美元,其間為11.1%的年複合成長率。該市場的主要促進成長因素,是對迅速且有效訂單執行的需求增加,及削減交易成本等。監測的缺乏與不完全的風險評估功能,有抑制演算法交易市場成長的可能性。

本報告提供全球演算法交易市場調查,市場概要,各市場區隔、各地區的市場趨勢,市場規模的變化與預測,市場佔有率,市場促進、阻礙因素以及市場機會、課題分析,競爭情形,主要企業的簡介等系統性資訊。

第1章 簡介

第2章 調查手法

第3章 摘要整理

第4章 重要考察

  • 演算法交易市場上富有魅力的市場機會
  • 演算法交易市場:交易類型的前3名
  • 演算法交易市場:交易類型、地區的前3名
  • 演算法交易市場:各交易類型

第5章 市場概要、產業趨勢

  • 簡介
  • 市場動態
  • 利用案例
  • 法規的影響
  • 演算法交易的架構

第6章 演算法交易市場:各交易類型

  • 簡介
  • 外匯
  • 股市
  • 投資信託
  • 證券
  • 加密電子貨幣
  • 其他

第7章 演算法交易市場:各零件

  • 簡介
  • 解決方案
    • 平台
    • 軟體工具
  • 服務
    • 專門服務
    • 管理服務

第8章 演算法交易市場:各展開形態

  • 簡介
  • 雲端
  • 內部部署

第9章 演算法交易市場:各組織規模

  • 簡介
  • 中小企業
  • 大企業

第10章 演算法交易市場:各地區

  • 簡介
  • 北美
  • 歐洲
  • 亞太地區
  • 中東、非洲
  • 南美

第11章 競爭環境

  • 概要
  • 競爭領導製圖
  • 產品系列的優勢
  • 事業策略的優點

第12章 企業簡介

  • 簡介
  • THOMSON REUTERS
  • 63 MOONS
  • VIRTU FINANCIAL
  • SOFTWARE AG
  • METAQUOTES SOFTWARE
  • SYMPHONY
  • INFOREACH
  • ARGO SE
  • KUBERRE SYSTEMS
  • TATA CONSULTANCY SERVICES
  • QUANTCORE CAPITAL MANAGEMENT
  • IRAGECAPITAL
  • AUTOMATED TRADING SOFTTECH
  • TETHYS
  • TRADING TECHNOLOGIES
  • UTRADE
  • VELA
  • ALGOTRADER

第13章 附錄

目錄
Product Code: TC 7089

"The global algorithmic trading market size to grow at a Compound Annual Growth Rate (CAGR) of 11.1% during the forecast period"

MarketsandMarkets forecasts 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:

  • 1. 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.
  • 2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.
  • 3. 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.

TABLE OF CONTENTS

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. ALGORITHMIC TRADING MARKET: TOP 3 TRADING TYPES
  • 4.3. ALGORITHMIC TRADING MARKET: TOP 3 TRADING TYPES AND REGIONS
  • 4.4. ALGORITHMIC TRADING 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 ALGORITHMIC TRADING 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 ALGORITHMIC TRADING 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. ALGORITHMIC TRADING 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. ALGORITHMIC TRADING 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. ALGORITHMIC TRADING 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 algorithmic trading 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 algorithmic trading 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 algorithmic trading 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 (Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 12.1. INTRODUCTION
  • 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. ALGOTRADER

*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: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 13.4. AVAILABLE CUSTOMIZATIONS
  • 13.5. RELATED REPORTS
  • 13.6. AUTHOR DETAILS

LIST OF 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: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 6: STOCK MARKETS: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 7: EXCHANGE-TRADED FUNDS: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 8: BONDS: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 9: CRYPTOCURRENCIES: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 10: OTHERS: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 14: SOFTWARE TOOLS: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 15: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 16: PROFESSIONAL SERVICES: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 17: MANAGED SERVICES: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 18: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 19: CLOUD: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 20: ON-PREMISES: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 23: LARGE ENTERPRISES: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 27: NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 28: NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 29: NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 30: NORTH AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017-2024 (USD MILLION)
  • TABLE 31: NORTH AMERICA: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 35: EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 36: EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 37: EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 38: EUROPE: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017-2024 (USD MILLION)
  • TABLE 39: EUROPE: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 43: ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 44: ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 45: ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 46: ASIA PACIFIC: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017-2024 (USD MILLION)
  • TABLE 47: ASIA PACIFIC: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 51: MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 52: MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 53: MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 54: MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017-2024 (USD MILLION)
  • TABLE 55: MIDDLE EAST AND AFRICA: ALGORITHMIC TRADING 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: ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 59: LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SOLUTION, 2017-2024 (USD MILLION)
  • TABLE 60: LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 61: LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 62: LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY ENTERPRISE SIZE, 2017-2024 (USD MILLION)
  • TABLE 63: LATIN AMERICA: ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 64: LATIN AMERICA: MAJOR FINTECH COMPANIES

LIST OF FIGURES

  • FIGURE 1: GLOBAL ALGORITHMIC TRADING MARKET: RESEARCH DESIGN
  • FIGURE 2: ALGORITHMIC TRADING MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 3: NORTH AMERICA TO ACCOUNT FOR THE HIGHEST MARKET SHARE IN 2019
  • FIGURE 4: ALGORITHMIC TRADING MARKET SNAPSHOT, BY COMPONENT, 2019
  • FIGURE 5: ALGORITHMIC TRADING MARKET SNAPSHOT, BY SOLUTION, 2019
  • FIGURE 6: ALGORITHMIC TRADING MARKET SNAPSHOT, BY SERVICE, 2019
  • FIGURE 7: ALGORITHMIC TRADING MARKET SNAPSHOT, BY DEPLOYMENT MODE, 2019
  • FIGURE 8: ALGORITHMIC TRADING 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: 63MOONS: COMPANY SNAPSHOT
  • FIGURE 36: 63MOONS: 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
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