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市場調査レポート
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1015429

アルゴリズム取引市場:世界の業界動向、シェア、規模、成長、機会、予測(2021~2026年)

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

出版日: | 発行: IMARC Services Private Limited | ページ情報: 英文 108 Pages | 納期: 2-3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=110.22円
アルゴリズム取引市場:世界の業界動向、シェア、規模、成長、機会、予測(2021~2026年)
出版日: 2021年06月15日
発行: IMARC Services Private Limited
ページ情報: 英文 108 Pages
納期: 2-3営業日
  • 概要
  • 図表一覧
  • 概要
  • 目次
概要

世界のアルゴリズム取引の市場規模は、2015年から2020年の間に力強い成長を示しました。アルゴリズム取引、またはアルゴトレーディングは、取引活動を管理するための事前定義された一連の指示によりコンピュータープログラムを使用する手順です。この指示は、価格、タイミング、数量、およびその他の数学モデルの多数のパラメーターに基づいています。これは、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介して取引プロセスを制御できるようにすることを目的としています。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により、市場をより柔軟かつ体系的にします。また、複数の市場にまたがる大量の取引注文を行い、迅速な意思決定を促進する高頻度取引(HFT)にも使用されます。予測期間(2021~2026年)中に世界のアルゴリズム取引市場は約10%のCAGRで拡大すると予測されています。

アルゴリズム取引は、迅速な利益創出と頻度の増加を可能にします。これは、人間のトレーダーにとっては事実上不可能です。アルゴリズム取引のこの利点は、市場の成長を促進する重要な要因です。企業は、低リスクのインフラを構築し、アルゴリズム取引を通じてデータ管理戦略を最適化するためのポリシーに重点を置いています。さらに、人工知能(AI)の出現は、市場の主要な成長促進因子です。AIは、リスクの共有に加えて、ポートフォリオの多様化と貯蓄の世界の分配を通じて、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上昇傾向も、市場の成長を促進しています。ベンダーは、クラウドベースの取引オプションを提供して、取引プロセスを自動化し、運用コストを削減し、消費者にトランザクションの柔軟性を提供します。ディーラーはまた、市場監視監視を提供し、自動取引システムでの不正行為を検出することを目的として、リスク管理プラットフォームを確立しています。

当レポートでは、アルゴリズム取引市場について調査し、市場の概要とともに、取引タイプ別、コンポーネント別、デプロイモデル別、組織規模別、地域別の動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 序文

第2章 範囲と調査手法

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

第5章 世界のアルゴリズム取引市場

  • 市場概要
  • 市場パフォーマンス
  • COVID-19の影響
  • 取引タイプ別の市場セグメンテーション
  • コンポーネント別の市場セグメンテーション
  • デプロイモデル別の市場セグメンテーション
  • 組織規模別の市場セグメンテーション
  • 地域別の市場セグメンテーション

第6章 市場セグメンテーション、取引タイプ別

  • 外国為替(FOREX)
  • 株式市場
  • 上場投資信託(ETF)
  • ボンド
  • 暗号通貨
  • その他

第7章 市場セグメンテーション、コンポーネント別

  • ソリューション
    • 主な種類
  • サービス
    • 主な種類

第8章 市場セグメンテーション、デプロイモデル別

  • オンプレミス
  • クラウド

第9章 市場セグメンテーション、組織規模別

  • 中小企業
  • 大企業

第10章 市場セグメンテーション、地域別

  • 北米
  • 欧州
  • アジア太平洋
  • 中東とアフリカ
  • ラテンアメリカ

第11章 SWOT分析

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

第14章 競合情勢

  • 市場構造
  • キープレーヤー
  • キープレーヤーのプロファイル
    • 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
図表一覧(英語)

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
概要(英語)
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?
目次(英語)

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