表紙
市場調查報告書

演算法交易的全球市場:產業趨勢,佔有率,規模,成長,機會,及預測(2019年∼2024年)

Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2019-2024

出版商 IMARC Services Private Limited 商品編碼 919634
出版日期 內容資訊 英文 106 Pages
商品交期: 2-3個工作天內
價格
Back to Top
演算法交易的全球市場:產業趨勢,佔有率,規模,成長,機會,及預測(2019年∼2024年) Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2019-2024
出版日期: 2019年12月10日內容資訊: 英文 106 Pages
簡介

全球演算法交易市場在2019年∼2024年間,預測將以約10%的年複合成長率成長。

本報告提供全球演算法交易市場的相關調查,市場機會和趨勢,各類型、零組件、部署模型、組織規模、地區的市場分析,競爭情形,主要企業的簡介等資訊。

目錄

第1章 序文

第2章 調查範圍及方法

  • 調查的目的
  • 利害關係者
  • 資訊來源
    • 一級資訊來源
    • 二級資訊來源
  • 市場預測
    • Bottom-Up(由下而上)方法
    • Top-Down(由上而下)方法
  • 預測方法

第3章 摘要整理

第4章 簡介

  • 概要
  • 主要產業趨勢

第5章 全球市場

  • 市場概況
  • 市場成果
  • 市場明細:各交易類型
  • 市場明細:各零件
  • 市場明細:各部署模型
  • 市場明細:各組織規模
  • 市場明細:各地區

第6章 市場明細:各交易類型

  • 外匯(FOREX)
  • 股市
  • 上場投資信託(ETF)
  • 債券
  • 加密電子貨幣
  • 其他

第7章 市場明細:各零件

  • 解決方案
  • 服務

第8章 市場明細:各部署模型

  • 內部部署
  • 雲端

第9章 市場明細:各組織規模

  • 中小企業
  • 大企業

第10章 市場明細:各地區

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

第11章 SWOT分析

  • 概要
  • 優點
  • 弱點
  • 市場機會
  • 威脅

第12章 價值鏈分析

第13章 波特的五力分析

  • 概要
  • 買主談判力
  • 供應商談判力
  • 產業內的競爭
  • 新加入廠商的威脅
  • 替代品的威脅

第14章 競爭情形

  • 市場結構
  • 主要企業
  • 企業簡介
    • Vela Trading Technologies LLC
    • Meta-Quotes Software Corp
    • Trading Technologies International Inc
    • Software AG
    • Algo Trader
    • uTrade Solutions Private Ltd
    • Automated Trading SoftTech Pvt. Ltd
    • Kuberre Systems Inc
    • InfoReach Inc
    • Virtu Financial
    • Tata Consultancy Services
    • Argo Group
    • Thomson Reuters
    • iRageCapital
    • Moons
目錄
Product Code: SR1019G80_Report

The global algorithmic trading market is expected to grow at a CAGR of around 10% during 2019-2024. Algorithmic trading, or Algo-trading, is the procedure of using computer programs with a pre-defined set of instructions to administer a trading activity. The instructions are based on prices, timing, quantity and numerous other parameters of a mathematical model. It aims to generate profits, reduce transactional costs and allow investors to take control of the trading process through a computer. Apart from this, algo-trading makes the market more flexible, as well as systematic, by ruling out any human influences. It is also used for high-frequency trading (HFT) that involves placing large trade orders across multiple markets and facilitate prompt decision-making.

Algo-trading enables quick profit generation and an increased frequency, which is practically impossible for any human trader. This benefit of algorithmic trading is the key factor driving the market growth. Enterprises are emphasizing on policies for building low-risk infrastructure and optimizing data management strategies through algorithmic trading. Furthermore, the emergence of Artificial Intelligence (AI) is acting as a major growth-inducing factor for the market. The AI assists in creating efficient trading opportunities through portfolio diversification and the global distribution of savings, along with risk sharing. In addition to this, the rising trend of cloud computing across both the developed and emerging nations is also catalyzing the growth of the market. Vendors offer cloud-based trading options to automate the trading process, reduce operational costs, and provide transactional flexibility to consumers. Dealers are also establishing risk management platforms with the aim to provide market surveillance monitoring and detect fraudulent activities in the automated trading system.

IMARC Group's latest report provides a deep insight into the global algorithmic trading market covering all its essential aspects. This ranges from macro overview of the market to micro details of the industry performance, recent trends, key market drivers and challenges, SWOT analysis, Porter's five forces analysis, value chain analysis, etc. This report is a must-read for industry players, investors, researchers, consultants, business strategists, and all those who have any kind of stake or are planning to foray into the algorithmic trading market in any manner.

Report Coverage:

Historical, Current and Future Market Trends

Market Breakup by Trading Types:

  • Foreign Exchange (FOREX)
  • Stock Markets
  • Exchange-Traded Fund (ETF)
  • Bonds
  • Cryptocurrencies
  • Others

Market Breakup by Components:

  • Solutions
  • Platforms
  • Software Tools
  • Services
  • Professional Services
  • Managed Services

Market Breakup by Deployment Model:

  • On-Premises
  • Cloud

Market Breakup by Organization Size:

  • Small and Medium Enterprises
  • Large Enterprises

Market Breakup by Region:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape

The report has also analyzed the competitive landscape of the market with some of the key players being Vela Trading Technologies LLC, Meta-Quotes Software Corp, Trading Technologies International Inc., Software AG, Algo Trader, uTrade Solutions Private Ltd., Automated Trading SoftTech Pvt. Ltd., Kuberre Systems Inc., InfoReach Inc., Virtu Financial, Tata Consultancy Services, Argo Group, Thomson Reuters, iRageCapital, Moons, etc.

Key Questions Answered in This Report:

  • How has the global algorithmic trading market performed so far and how will it perform in the coming years?
  • What are the key regional markets in the global algorithmic trading industry?
  • What is the breakup of the market based on the trading type?
  • What is the breakup of the market based on the component?
  • What is the breakup of the market based on the deployment model?
  • What is the breakup of the market based on the organization size?
  • What are the various stages in the value chain of the global algorithmic trading industry?
  • What are the key driving factors and challenges in the global algorithmic trading industry?
  • What is the structure of the global algorithmic trading industry and who are the key players?
  • What is the degree of competition in the global algorithmic trading industry?

Table of Contents

1. Preface

2. Scope and Methodology

  • 2.1. Objectives of the Study
  • 2.2. Stakeholders
  • 2.3. Data Sources
    • 2.3.1. Primary Sources
    • 2.3.2. Secondary Sources
  • 2.4. Market Estimation
    • 2.4.1. Bottom-Up Approach
    • 2.4.2. Top-Down Approach
  • 2.5. Forecasting Methodology

3. Executive Summary

4. Introduction

  • 4.1. Overview
  • 4.2. Key Industry Trends

5. Global Algorithmic Trading Market

  • 5.1. Market Overview
  • 5.2. Market Performance
  • 5.3. Market Breakup by Trading Type
  • 5.4. Market Breakup by Components
  • 5.5. Market Breakup by Deployment Model
  • 5.6. Market Breakup by Organization Size
  • 5.7. Market Breakup by Region
  • 5.8. Market Forecast

6. Market Breakup by Trading Type

  • 6.1. Foreign Exchange (FOREX)
    • 6.1.1. Market Trends
    • 6.1.2. Market Forecast
  • 6.2. Stock Markets
    • 6.2.1. Market Trends
    • 6.2.2. Market Forecast
  • 6.3. Exchange-Traded Fund (ETF)
    • 6.3.1. Market Trends
    • 6.3.2. Market Forecast
  • 6.4. Bonds
    • 6.4.1. Market Trends
    • 6.4.2. Market Forecast
  • 6.5. Cryptocurrencies
    • 6.5.1. Market Trends
    • 6.5.2. Market Forecast
  • 6.6. Others
    • 6.6.1. Market Trends
    • 6.6.2. Market Forecast

7. Market Breakup by Components

  • 7.1. Solutions
    • 7.1.1. Market Trends
    • 7.1.2. Major Types
      • 7.1.2.1. Platforms
      • 7.1.2.2. Software Tools
    • 7.1.3. Market Forecast
  • 7.2. Services
    • 7.2.1. Market Trends
    • 7.2.2. Major Types
      • 7.2.2.1. Professional Services
      • 7.2.2.2. Managed Services
    • 7.2.3. Market Forecast

8. Market Breakup by Deployment Model

  • 8.1. On-Premises
    • 8.1.1. Market Trends
    • 8.1.2. Market Forecast
  • 8.2. Cloud
    • 8.2.1. Market Trends
    • 8.2.2. Market Forecast

9. Market Breakup by Organization Size

  • 9.1. Small and Medium-Sized Enterprises
    • 9.1.1. Market Trends
    • 9.1.2. Market Forecast
  • 9.2. Large Enterprises
    • 9.2.1. Market Trends
    • 9.2.2. Market Forecast

10. Market Breakup by Region

  • 10.1. North America
    • 10.1.1. Market Trends
    • 10.1.2. Market Forecast
  • 10.2. Europe
    • 10.2.1. Market Trends
    • 10.2.2. Market Forecast
  • 10.3. Asia Pacific
    • 10.3.1. Market Trends
    • 10.3.2. Market Forecast
  • 10.4. Middle East and Africa
    • 10.4.1. Market Trends
    • 10.4.2. Market Forecast
  • 10.5. Latin America
    • 10.5.1. Market Trends
    • 10.5.2. Market Forecast

11. SWOT Analysis

  • 11.1. Overview
  • 11.2. Strengths
  • 11.3. Weaknesses
  • 11.4. Opportunities
  • 11.5. Threats

12. Value Chain Analysis

13. Porter's Five Forces Analysis

  • 13.1. Overview
  • 13.2. Bargaining Power of Buyers
  • 13.3. Bargaining Power of Suppliers
  • 13.4. Degree of Competition
  • 13.5. Threat of New Entrants
  • 13.6. Threat of Substitutes

14. Competitive Landscape

  • 14.1. Market Structure
  • 14.2. Key Players
  • 14.3. Profiles of Key Players
    • 14.3.1. Vela Trading Technologies LLC
    • 14.3.2. Meta-Quotes Software Corp
    • 14.3.3. Trading Technologies International Inc
    • 14.3.4. Software AG
    • 14.3.5. Algo Trader
    • 14.3.6. uTrade Solutions Private Ltd
    • 14.3.7. Automated Trading SoftTech Pvt. Ltd
    • 14.3.8. Kuberre Systems Inc
    • 14.3.9. InfoReach Inc
    • 14.3.10. Virtu Financial
    • 14.3.11. Tata Consultancy Services
    • 14.3.12. Argo Group
    • 14.3.13. Thomson Reuters
    • 14.3.14. iRageCapital
    • 14.3.15. Moons

List of Figures

  • Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
  • Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2013-2018
  • Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2018
  • Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2018
  • Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2018
  • Figure 6: Global: Algorithmic Trading Market: Breakup by Organization size (in %), 2018
  • Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2018
  • Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2019-2024
  • Figure 9: Global: Algorithmic Trading Industry: SWOT Analysis
  • Figure 10: Global: Algorithmic Trading Industry: Value Chain Analysis
  • Figure 11: Global: Algorithmic Trading Industry: Porter's Five Forces Analysis
  • Figure 12: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 28: Global: Algorithmic Trading (On-premises) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 29: Global: Algorithmic Trading (On-premises) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2019-2024
  • Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2013 & 2018
  • Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2019-2024

List of Tables

  • Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2018 and 2024
  • Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2019-2024
  • Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2019-2024
  • Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Modes (in Million US$), 2019-2024
  • Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization size (in Million US$), 2019-2024
  • Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2019-2024
  • Table 7: Global: Algorithmic Trading Market Structure
  • Table 8: Global: Algorithmic Trading Market: Key Players
Back to Top