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1347446

算法交易市場：2023-2028 年全球行業趨勢、佔有率、規模、成長、機遇和預測

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個工作天內

價格

市場概況：

2022 年，全球算法交易市場價值達到 140 億美元。展望未來，IMARC 集團預計到 2028 年，市場規模將達到 268 億美元，2023-2028 年年複合成長率為 12%。

算法交易或算法交易是使用具有預定義指令集的電腦程序來管理交易活動的過程。這些指令基於價格、時間、數量和數學模型的許多其他參數。它的目的是產生利潤、降低交易成本並讓投資者通過電腦控制交易過程。除此之外，算法交易排除了任何人為影響，使市場更加靈活、系統化。它還用於高頻交易 (HFT)，涉及跨多個市場下大額交易訂單並促進及時決策。

算法交易可以快速產生利潤並提高頻率，這對於任何人類交易者來說實際上都是不可能的。算法交易的這種好處是推動市場成長的關鍵因素。企業正在強調建立低風險基礎設施和通過算法交易最佳化數據管理策略的政策。此外，人工智慧（AI）的出現正在成為市場成長的主要推動因素。人工智慧通過投資組合多元化、儲蓄的全球分佈以及風險分擔，協助創造高效的交易機會。除此之外，已開發國家和新興國家雲端運算的上升趨勢也促進了市場的成長。供應商提供雲端基礎交易選項，以實現交易流程自動化、降低營運成本並為消費者提供交易靈活性。交易商還建立風險管理平台，旨在提供市場監督監控並檢測自動交易系統中的欺詐活動。

IMARC Group 的最新報告深入洞察了全球算法交易市場，涵蓋了其所有重要方面。內容涵蓋從宏觀市場概況到微觀細節的行業表現、近期趨勢、關鍵市場促進因素和挑戰、SWOT分析、波特五力分析、價值鏈分析等。該報告是行業參與者必讀的內容，投資者、研究人員、顧問、商業策略師以及所有擁有任何股份或計劃以任何方式進軍算法交易市場的人。

本報告回答的關鍵問題

  • 2022年全球算法交易市場規模有多大？
  • 2023-2028年全球算法交易市場的預期成長率是多少？
  • 推動全球算法交易市場的關鍵因素是什麼？
  • COVID-19 對全球算法交易市場有何影響？
  • 全球算法交易市場的組成部分是怎樣的？
  • 基於部署模型的全球算法交易市場的分解是怎樣的？
  • 全球算法交易市場有哪些關鍵區域？
  • 全球算法交易市場的主要參與者/公司有哪些？

目錄

第一章：前言

第 2 章：範圍和方法

  • 研究目的
  • 利益相關者
  • 數據源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球算法交易市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 按交易類型分類的市場細分
  • 按組件分類的市場細分
  • 按部署模型分類的市場
  • 按組織規模分類的市場細分
  • 按地區分類的市場細分
  • 市場預測

第 6 章：按交易類型分類的市場細分

  • 外匯 (FOREX)
    • 市場走向
    • 市場預測
  • 股市
    • 市場走向
    • 市場預測
  • 交易所交易基金 (ETF)
    • 市場走向
    • 市場預測
  • 債券
    • 市場走向
    • 市場預測
  • 加密貨幣
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 7 章：按組件分類的市場細分

  • 解決方案
    • 市場走向
    • 主要類型
      • 平台
      • 軟體工具
    • 市場預測
  • 服務
    • 市場走向
    • 主要類型
      • 專業的服務
      • 管理服務
    • 市場預測

第 8 章：按部署模型分類的市場

  • 本地部署
    • 市場走向
    • 市場預測
  • 雲
    • 市場走向
    • 市場預測

第 9 章：按組織規模分類的市場

  • 中小企業
    • 市場走向
    • 市場預測
  • 大型企業
    • 市場走向
    • 市場預測

第 10 章：按地區分類的市場細分

  • 北美
    • 市場走向
    • 市場預測
  • 歐洲
    • 市場走向
    • 市場預測
  • 亞太地區
    • 市場走向
    • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場預測
  • 拉丁美洲
    • 市場走向
    • 市場預測

第 11 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 12 章：價值鏈分析

第 13 章：波特的五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第14章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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