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市场调查报告书

演算法交易市场:全球产业趋势,占有率,规模,成长,机会,预测(2021~2026年)

Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026

出版商 IMARC Services Private Limited 商品编码 1015429
出版日期 内容资讯 英文 108 Pages
商品交期: 2-3个工作天内
价格
演算法交易市场:全球产业趋势,占有率,规模,成长,机会,预测(2021~2026年) Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2021-2026
出版日期: 2021年06月15日内容资讯: 英文 108 Pages
简介

全球演算法交易的市场规模,从2015年到2020年之间显示强力的成长。预计在预测期间(2021~2026年)中全球演算法交易市场约以10%的年复合成长率扩大。

演算法交易可以快速产生利润并增加频率,这对于任何人类交易者来说几乎是不可能的。演算法交易的这个优点,是促进市场成长的重要要素。再加上人工智慧的出现,是促进市场成长的主要要素。已开发国家与新兴国家双方的云端运算的上升趋势,也促进市场成长。

本报告提供演算法交易市场相关调查,市场概要,以及各交易类型,各零件,各配置模式,各组织规模,各地区的趋势,加入此市场的主要企业简介等资讯。

目录

第1章 序文

第2章 范围与调查手法

第3章 摘要整理

第4章 简介

第5章 全球演算法交易市场

  • 市场概要
  • 市场效能
  • COVID-19的影响
  • 各交易类型的市场区隔
  • 各零件的市场区隔
  • 各配置模式的市场区隔
  • 各组织规模的市场区隔
  • 各地区的市场区隔

第6章 市场区隔,各交易类型

  • 外汇(FOREX)
  • 股市
  • 上场投资信托(ETF)
  • 公债
  • 加密电子货币
  • 其他

第7章 市场区隔,各零件

  • 解决方案
    • 主要的种类
  • 服务
    • 主要的种类

第8章 市场区隔,各配置模式

  • 内部部署
  • 云端

第9章 市场区隔,各组织规模

  • 中小企业
  • 大企业

第10章 市场区隔,各地区

  • 北美
  • 欧洲
  • 亚太地区
  • 中东和非洲
  • 南美

第11章 SWOT分析

第12章 价值链分析

第13章 波特的五力分析

第14章 竞争情形

  • 市场结构
  • 主要参与者
  • 主要参与者的简介
    • 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
目录
Product Code: SR1020D149_Report

The global algorithmic trading market exhibited strong growth during 2015-2020. 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. Looking forward, IMARC Group expects the global algorithmic trading market to grow at a CAGR of around 10% during the forecast period (2021-2026).

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 has been the impact of COVID-19 on 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 Impact of COVID-19
  • 5.4 Market Breakup by Trading Type
  • 5.5 Market Breakup by Components
  • 5.6 Market Breakup by Deployment Model
  • 5.7 Market Breakup by Organization Size
  • 5.8 Market Breakup by Region
  • 5.9 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 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$), 2015-2020
  • Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2020
  • Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2020
  • Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2020
  • Figure 6: Global: Algorithmic Trading Market: Breakup by Organization size (in %), 2020
  • Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2020
  • Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2021-2026
  • 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$), 2015 & 2020
  • Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2021-2026
  • Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2015 & 2020
  • Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2021-2026

List of Tables

  • Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2020 and 2026
  • Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2021-2026
  • Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2021-2026
  • Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Modes (in Million US$), 2021-2026
  • Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization size (in Million US$), 2021-2026
  • Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2021-2026
  • Table 7: Global: Algorithmic Trading Market Structure
  • Table 8: Global: Algorithmic Trading Market: Key Players