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アルゴリズム取引市場:世界の産業動向、シェア、規模、成長、機会、2023-2028年予測

Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028

出版日: | 発行: IMARC | ページ情報: 英文 137 Pages | 納期: 2~3営業日

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アルゴリズム取引市場:世界の産業動向、シェア、規模、成長、機会、2023-2028年予測
出版日: 2023年09月04日
発行: IMARC
ページ情報: 英文 137 Pages
納期: 2~3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

市場概要:

世界のアルゴリズム取引の市場規模は2022年に140億米ドルに達しました。IMARC Groupは、2023年から2028年にかけてのCAGRは12%で、2028年には268億米ドルに達すると予測しています。

アルゴリズム取引とは、事前に定義された一連の指示を持つコンピュータープログラムを使用して取引活動を管理する手順のことです。この指示は、価格、タイミング、数量、その他数多くの数学的モデルのパラメーターに基づいています。その目的は、利益を生み出し、取引コストを削減し、投資家がコンピューターを通じて取引プロセスをコントロールできるようにすることです。これとは別に、アルゴリズム取引は、人間の影響を排除することで、市場をより柔軟でシステマティックなものにします。また、アルゴリズム取引は、複数の市場に大量の取引注文を出す高頻度取引(HFT)にも利用され、迅速な意思決定を促します。

アルゴリズム取引は、人間のトレーダーには実質的に不可能な、迅速な利益創出と高頻度の取引を可能にします。このアルゴリズム取引の利点が、市場の成長を促す重要な要因となっています。企業は、アルゴリズム取引を通じて、低リスクのインフラを構築し、データ管理戦略を最適化する方針を重視しています。さらに、人工知能(AI)の登場も市場の成長を促す大きな要因となっています。AIは、ポートフォリオの分散や貯蓄の世界な分配、リスクの共有を通じて、効率的な取引機会の創出を支援します。これに加えて、先進国と新興国の両方でクラウドコンピューティングの動向が高まっていることも、市場の成長を促しています。ベンダーはクラウドベースの取引オプションを提供することで、取引プロセスを自動化し、運用コストを削減し、消費者に取引の柔軟性を提供しています。ディーラーはまた、自動取引システムにおける市場監視の監視と不正行為の検出を目的として、リスク管理プラットフォームを構築しています。

IMARC Groupの最新レポートでは、世界のアルゴリズム取引市場について、その本質的な側面をすべて網羅した深い洞察を提供しています。その内容は、市場のマクロ的概要から、業界実績のミクロ的詳細、最近の動向、主要市場促進要因・課題、SWOT分析、ポーターのファイブフォース分析、バリューチェーン分析など多岐にわたります。本レポートは、業界関係者、投資家、研究者、コンサルタント、ビジネス戦略家、その他アルゴリズム取引市場に何らかの利害関係を持つ、または何らかの形で参入を計画しているすべての人々にとって必読の書です。

本レポートで扱う主な質問

  • 2022年のアルゴリズム取引の世界市場規模は?
  • 2023年~2028年の世界のアルゴリズム取引市場の予想成長率は?
  • 世界のアルゴリズム取引市場を牽引する主要因は何か?
  • アルゴリズム取引の世界市場に対するCOVID-19の影響は?
  • 世界のアルゴリズム取引市場のコンポーネントによる区分は?
  • 展開モデルに基づくアルゴリズム取引世界市場の内訳は?
  • アルゴリズム取引の世界市場における主要地域は?
  • アルゴリズム取引の世界市場における主要プレイヤー/企業は?

目次

第1章 序文

第2章 調査範囲と調査手法

  • 調査目的
  • 利害関係者
  • データソース
    • 一次情報
    • 二次情報
  • 市場推定
    • ボトムアップアプローチ
    • トップダウンアプローチ
  • 調査手法

第3章 エグゼクティブサマリー

第4章 イントロダクション

  • 概要
  • 主要業界動向

第5章 アルゴリズム取引の世界市場

  • 市場概要
  • 市場実績
  • COVID-19の影響
  • 市場内訳:取引タイプ別
  • 市場内訳:コンポーネント別
  • 市場内訳:展開モデル別
  • 市場内訳:組織規模別
  • 市場内訳:地域別
  • 市場予測

第6章 市場内訳:取引タイプ別

  • 外国為替(FOREX)
    • 市場動向
    • 市場予測
  • 株式市場
    • 市場動向
    • 市場予測
  • 上場投資信託(ETF)
    • 市場動向
    • 市場予測
  • 債券
    • 市場動向
    • 市場予測
  • 暗号通貨
    • 市場動向
    • 市場予測
  • その他
    • 市場動向
    • 市場予測

第7章 市場内訳:コンポーネント別

  • ソリューション
    • 市場動向
    • 主要タイプ
      • プラットフォーム
      • ソフトウェアツール
    • 市場予測
  • サービス
    • 市場動向
    • 主な種類
      • プロフェッショナルサービス
      • マネージドサービス
    • 市場予測

第8章 市場内訳:展開モデル別

  • オンプレミス
    • 市場動向
    • 市場予測
  • クラウド
    • 市場動向
    • 市場予測

第9章 市場内訳:組織規模別

  • 中小企業
    • 市場動向
    • 市場予測
  • 大企業
    • 市場動向
    • 市場予測

第10章 市場内訳:地域別

  • 北米
    • 市場動向
    • 市場予測
  • 欧州
    • 市場動向
    • 市場予測
  • アジア太平洋
    • 市場動向
    • 市場予測
  • 中東・アフリカ地域
    • 市場動向
    • 市場予測
  • ラテンアメリカ
    • 市場動向
    • 市場予測

第11章 SWOT分析

  • 概要
  • 強み
  • 弱み
  • 機会
  • 脅威

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

  • 概要
  • 買い手の交渉力
  • 供給企業の交渉力
  • 競合の程度
  • 新規参入業者の脅威
  • 代替品の脅威

第14章 競合情勢

  • 市場構造
  • 主要企業
  • 主要企業のプロファイル
    • 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.
図表

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
目次
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.