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알고리즘 트레이딩 시장 : 세계 산업 동향, 점유율, 규모, 성장률, 기회, 예측(2022-2027년)

Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027

리서치사 IMARC Services Private Limited
발행일 2022년 07월 상품코드 1102707
페이지 정보 영문 108 Pages 배송안내 2-3일 (영업일 기준)
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알고리즘 트레이딩 시장 : 세계 산업 동향, 점유율, 규모, 성장률, 기회, 예측(2022-2027년) Algorithmic Trading Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2022-2027
발행일 : 2022년 07월 페이지 정보 : 영문 108 Pages

본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문목차를 참고해주시기 바랍니다.

세계의 알고리즘 트레이딩 시장 규모는 2021년에 130억 달러로, 2022-2027년 11.4%의 CAGR을 보이고 2027년까지 240억 달러에 달할 것으로 예상되고 있습니다. 이 시장의 성장을 지원하는 주요 요인으로는 신속한 이익 창출과 고빈도 거래를 가능하게 하는 알고리즘 트레이딩의 이점, 인공지능(AI)의 출현, 클라우드 컴퓨팅 동향의 증가 등을 들 수 있습니다.

세계의 알고리즘 트레이딩 시장을 조사했으며, 시장의 개요, 시장 분석, 거래 유형·컴포넌트·도입 모델·조직 규모·지역별 분석 및 경쟁 구도 등의 정보를 정리하여 전해드립니다.

목차

제1장 서문

제2장 범위와 조사 방법

제3장 개요

제4장 서론

제5장 세계의 알고리즘 트레이딩 시장

  • 시장 개요
  • 시장 실적
  • COVID-19의 영향
  • 거래 유형별 시장 내역
  • 컴포넌트별 시장 내역
  • 도입 모델별 시장 내역
  • 조직 규모별 시장 내역
  • 지역별 시장 내역

제6장 거래 유형별 시장 내역

  • 외환(FOREX)
  • 주식시장
  • 상장지수펀드(ETF)
  • 채권
  • 암호화폐
  • 기타

제7장 컴포넌트별 시장 내역

  • 솔루션
    • 주요 유형
  • 서비스
    • 주요 유형

제8장 도입 모델별 시장 내역

  • 온프레미스
  • 클라우드

제9장 조직 규모별 시장 내역

  • 중소기업
  • 대기업

제10장 지역별 시장 내역

  • 북미
  • 유럽
  • 아시아태평양
  • 중동과 아프리카
  • 라틴아메리카

제11장 SWOT 분석

제12장 밸류체인 분석

제13장 Porter의 산업 분석

제14장 경쟁 구도

  • 시장 구조
  • 주요 기업
  • 주요 기업의 개요
    • 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.
KSA 22.08.02

List of Figures

  • Figure 1: Global: Algorithmic Trading Market: Major Drivers and Challenges
  • Figure 2: Global: Algorithmic Trading Market: Sales Value (in Billion US$), 2016-2021
  • Figure 3: Global: Algorithmic Trading Market: Breakup by Trading Type (in %), 2021
  • Figure 4: Global: Algorithmic Trading Market: Breakup by Components (in %), 2021
  • Figure 5: Global: Algorithmic Trading Market: Breakup by Deployment Model (in %), 2021
  • Figure 6: Global: Algorithmic Trading Market: Breakup by Organization Size (in %), 2021
  • Figure 7: Global: Algorithmic Trading Market: Breakup by Region (in %), 2021
  • Figure 8: Global: Algorithmic Trading Market Forecast: Sales Value (in Billion US$), 2022-2027
  • 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$), 2016 & 2021
  • Figure 13: Global: Algorithmic Trading (Foreign Exchange- FOREX) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 14: Global: Algorithmic Trading (Stock Markets) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 15: Global: Algorithmic Trading (Stock Markets) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 16: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 17: Global: Algorithmic Trading (Exchange-Traded Fund- ETF) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 18: Global: Algorithmic Trading (Bonds) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 19: Global: Algorithmic Trading (Bonds) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 20: Global: Algorithmic Trading (Cryptocurrencies) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 21: Global: Algorithmic Trading (Cryptocurrencies) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 22: Global: Algorithmic Trading (Other Trading Types) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 23: Global: Algorithmic Trading (Other Trading Types) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 24: Global: Algorithmic Trading (Solutions) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 25: Global: Algorithmic Trading (Solutions) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 26: Global: Algorithmic Trading (Services) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 27: Global: Algorithmic Trading (Services) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 28: Global: Algorithmic Trading (On-Premises) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 29: Global: Algorithmic Trading (On-Premises) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 30: Global: Algorithmic Trading (Cloud) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 31: Global: Algorithmic Trading (Cloud) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 32: Global: Algorithmic Trading (Small and Medium Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 33: Global: Algorithmic Trading (Small and Medium Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 34: Global: Algorithmic Trading (Large Enterprises) Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 35: Global: Algorithmic Trading (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 36: North America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 37: North America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 38: Europe: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 39: Europe: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 40: Asia Pacific: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 41: Asia Pacific: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 42: Middle East and Africa: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 43: Middle East and Africa: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027
  • Figure 44: Latin America: Algorithmic Trading Market: Sales Value (in Million US$), 2016 & 2021
  • Figure 45: Latin America: Algorithmic Trading Market Forecast: Sales Value (in Million US$), 2022-2027

List of Tables

  • Table 1: Global: Algorithmic Trading Market: Key Industry Highlights, 2021 and 2027
  • Table 2: Global: Algorithmic Trading Market Forecast: Breakup by Trading Type (in Million US$), 2022-2027
  • Table 3: Global: Algorithmic Trading Market Forecast: Breakup by Components (in Million US$), 2022-2027
  • Table 4: Global: Algorithmic Trading Market Forecast: Breakup by Deployment Model (in Million US$), 2022-2027
  • Table 5: Global: Algorithmic Trading Market Forecast: Breakup by Organization Size (in Million US$), 2022-2027
  • Table 6: Global: Algorithmic Trading Market Forecast: Breakup by Region (in Million US$), 2022-2027
  • Table 7: Global: Algorithmic Trading Market Structure
  • Table 8: Global: Algorithmic Trading Market: Key Players

The global algorithmic trading market reached a value of US$ 13.0 Billion in 2021. Looking forward, IMARC Group expects the market to reach US$ 24.0 Billion by 2027, exhibiting a CAGR of 11.4% during 2022-2027. Keeping in mind the uncertainties of COVID-19, we are continuously tracking and evaluating the direct as well as the indirect influence of the pandemic. These insights are included in the report as a major market contributor.

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 sub-segment of the global algorithmic trading market, along with forecasts at the global and regional level from 2022-2027. 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. etc.
  • Key Questions Answered in This Report
  • 1. What is the expected growth rate of the global algorithmic trading market during 2022-2027?
  • 2. What are the key factors driving the global algorithmic trading market?
  • 3. What has been the impact of COVID-19 on the global algorithmic trading market?
  • 4. What is the breakup of the global algorithmic trading market based on the trading type?
  • 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 is the breakup of the global algorithmic trading market based on the organization size?
  • 8. What are the key regions in the global algorithmic trading market?
  • 9. 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.
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