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市场调查报告书
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1347446

算法交易市场：2023-2028 年全球行业趋势、份额、规模、增长、机会和预测

Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028
出版日期: | 出版商: IMARC | 英文 137 Pages | 商品交期: 2-3个工作天内

价格

市场概况：

2022 年，全球算法交易市场价值达到 140 亿美元。展望未来，IMARC 集团预计到 2028 年，市场规模将达到 268 亿美元，2023-2028 年復合年增长率为 12%。

算法交易或算法交易是使用具有预定义指令集的计算机程序来管理交易活动的过程。这些指令基于价格、时间、数量和数学模型的许多其他参数。它的目的是产生利润、降低交易成本并让投资者通过计算机控制交易过程。除此之外，算法交易排除了任何人为影响，使市场更加灵活、系统化。它还用于高频交易 (HFT)，涉及跨多个市场下大额交易订单并促进及时决策。

算法交易可以快速产生利润并提高频率，这对于任何人类交易者来说实际上都是不可能的。算法交易的这种好处是推动市场增长的关键因素。企业正在强调建立低风险基础设施和通过算法交易优化数据管理策略的政策。此外，人工智能（AI）的出现正在成为市场增长的主要推动因素。人工智能通过投资组合多元化、储蓄的全球分布以及风险分担，协助创造高效的交易机会。除此之外，发达国家和新兴国家云计算的上升趋势也促进了市场的增长。供应商提供基于云的交易选项，以实现交易流程自动化、降低运营成本并为消费者提供交易灵活性。交易商还建立风险管理平台，旨在提供市场监督监控并检测自动交易系统中的欺诈活动。

IMARC Group 的最新报告深入洞察了全球算法交易市场，涵盖了其所有重要方面。内容涵盖从宏观市场概况到微观细节的行业表现、近期趋势、关键市场驱动因素和挑战、SWOT分析、波特五力分析、价值链分析等。该报告是行业参与者必读的内容，投资者、研究人员、顾问、商业策略师以及所有拥有任何股份或计划以任何方式进军算法交易市场的人。

本报告回答的关键问题

  • 2022年全球算法交易市场规模有多大？
  • 2023-2028年全球算法交易市场的预期增长率是多少？
  • 推动全球算法交易市场的关键因素是什么？
  • COVID-19 对全球算法交易市场有何影响？
  • 全球算法交易市场的组成部分是怎样的？
  • 基于部署模型的全球算法交易市场的分解是怎样的？
  • 全球算法交易市场有哪些关键区域？
  • 全球算法交易市场的主要参与者/公司有哪些？

目录

第一章：前言

第 2 章：范围和方法

  • 研究目的
  • 利益相关者
  • 数据源
    • 主要资源
    • 二手资料
  • 市场预测
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第 3 章：执行摘要

第 4 章：简介

  • 概述
  • 主要行业趋势

第 5 章：全球算法交易市场

  • 市场概况
  • 市场业绩
  • COVID-19 的影响
  • 按交易类型分類的市场细分
  • 按组件分類的市场细分
  • 按部署模型分類的市场
  • 按组织规模分類的市场细分
  • 按地区分類的市场细分
  • 市场预测

第 6 章：按交易类型分類的市场细分

  • 外汇 (FOREX)
    • 市场走向
    • 市场预测
  • 股市
    • 市场走向
    • 市场预测
  • 交易所交易基金 (ETF)
    • 市场走向
    • 市场预测
  • 债券
    • 市场走向
    • 市场预测
  • 加密货币
    • 市场走向
    • 市场预测
  • 其他的
    • 市场走向
    • 市场预测

第 7 章：按组件分類的市场细分

  • 解决方案
    • 市场走向
    • 主要类型
      • 平台
      • 软件工具
    • 市场预测
  • 服务
    • 市场走向
    • 主要类型
      • 专业的服务
      • 管理服务
    • 市场预测

第 8 章：按部署模型分類的市场

  • 本地部署
    • 市场走向
    • 市场预测
  • 云
    • 市场走向
    • 市场预测

第 9 章：按组织规模分類的市场

  • 中小企业
    • 市场走向
    • 市场预测
  • 大型企业
    • 市场走向
    • 市场预测

第 10 章：按地区分類的市场细分

  • 北美
    • 市场走向
    • 市场预测
  • 欧洲
    • 市场走向
    • 市场预测
  • 亚太地区
    • 市场走向
    • 市场预测
  • 中东和非洲
    • 市场走向
    • 市场预测
  • 拉美
    • 市场走向
    • 市场预测

第 11 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 12 章：价值链分析

第 13 章：波特的五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第14章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Vela Trading Systems LLC
    • Meta-Quotes Limited
    • Trading Technologies International Inc.
    • Software AG
    • AlgoTrader
    • uTrade Solutions Private Limited
    • Automated Trading SoftTech Private Limited
    • Kuberre Systems Inc.
    • InfoReach Inc.
    • Virtu Financial Inc.
    • Tata Consultancy Services
    • Argo Group International Holdings Limited
    • Thomson Reuters Corporation
    • iRageCapital Advisory Private Limited
    • 63 Moons Technologies Ltd.
Product Code: SR112023A1641

Market Overview:

The global algorithmic trading market reached a value of US$ 14.0 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 26.8 Billion by 2028, exhibiting a CAGR of 12% during 2023-2028.

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.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global algorithmic trading market report, along with forecasts at the global and regional levels from 2023-2028. Our report has categorized the market based on trading type, components, deployment model and organization size.

Breakup by Trading Type:

Foreign Exchange (FOREX)

Stock Markets

Exchange-Traded Fund (ETF)

Bonds

Cryptocurrencies

Others

Breakup by Components:

Solutions

Platforms

Software Tools

Services

Professional Services

Managed Services

Breakup by Deployment Model:

On-Premises

Cloud

Breakup by Organization Size:

Small and Medium Enterprises

Large Enterprises

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 Systems LLC, Meta-Quotes Limited, Trading Technologies International Inc., Software AG, AlgoTrader, uTrade Solutions Private Limited, Automated Trading SoftTech Private Limited, Kuberre Systems Inc., InfoReach Inc., Virtu Financial Inc., Tata Consultancy Services, Argo Group International Holdings Limited, Thomson Reuters Corporation, iRageCapital Advisory Private Limited, and 63 Moons Technologies Ltd.

Key Questions Answered in This Report

  • 1. What was the size of the global algorithmic trading market in 2022?
  • 2. What is the expected growth rate of the global algorithmic trading market during 2023-2028?
  • 3. What are the key factors driving the global algorithmic trading market?
  • 4. What has been the impact of COVID-19 on the global algorithmic trading market?
  • 5. What is the breakup of the global algorithmic trading market based on the components?
  • 6. What is the breakup of the global algorithmic trading market based on the deployment model?
  • 7. What are the key regions in the global algorithmic trading market?
  • 8. Who are the key players/companies in the global algorithmic trading market?

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 Systems LLC
    • 14.3.2 Meta-Quotes Limited
    • 14.3.3 Trading Technologies International Inc.
    • 14.3.4 Software AG
    • 14.3.5 AlgoTrader
    • 14.3.6 uTrade Solutions Private Limited
    • 14.3.7 Automated Trading SoftTech Private Limited
    • 14.3.8 Kuberre Systems Inc.
    • 14.3.9 InfoReach Inc.
    • 14.3.10 Virtu Financial Inc.
    • 14.3.11 Tata Consultancy Services
    • 14.3.12 Argo Group International Holdings Limited
    • 14.3.13 Thomson Reuters Corporation
    • 14.3.14 iRageCapital Advisory Private Limited
    • 14.3.15 63 Moons Technologies Ltd.

List of Figures

  • Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
  • Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2017-2022
  • Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2022
  • Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2022
  • Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2022
  • Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2022
  • Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2022
  • Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2023-2028
  • 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$), 2017 & 2022
  • Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028
  • Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2017 & 2022
  • Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2023-2028

List of Tables

  • Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2022 and 2028
  • Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2023-2028
  • Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2023-2028
  • Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2023-2028
  • Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2023-2028
  • Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2023-2028
  • Table 7: Global: Algorithmic Trading Market Structure
  • Table 8: Global: Algorithmic Trading Market: Key Players