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市場調查報告書
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1529973

演算法交易的全球市場:按類型、按部署、按組織規模、按地區

Algorithmic Trading Market, By Type, By Deployment, By Organization Size, By Geography

出版日期: | 出版商: Coherent Market Insights | 英文 166 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計2024年全球演算法交易市場規模將達30.1億美元,2024年至2031年複合年成長率為8.9%,2031年將達54.8億美元。

報告範圍 報告詳情
基準年 2023年 2024年市場規模 30.1億美元
實際資料 2019-2023 預測期 2024-2031
預測 2024-2031 年複合年成長率: 8.90% 2031 年金額預測 54.8億美元
圖:按地區分類的演算法交易市場佔有率(%)(2024 年)
演算法交易市場-IMG1

全球演算法交易市場的成長是由金融領域自動化和資料分析的不斷提高所推動的。演算法交易利用定量和定性因素來分析市場趨勢並相應地執行交易。根據預先定義的規則和變數實現頻繁且自動的交易執行。這減少了人為錯誤並最大限度地降低了邊際交易成本。金融科技解決方案的發展進一步推動了更複雜的交易演算法的開發,這些演算法可以以超出人類能力的速度處理大量資料。主要參與者正在大力投資研發,以開發基於人工智慧和機器學習的先進演算法,以進行預測分析和最佳交易執行。由於自動化是交易業務的核心,全球演算法交易市場可能會成長。

市場動態:

全球演算法交易市場的成長是由資本市場對速度、效率和準確性的需求所推動的。越來越多的市場資料和即時交易需要自動化系統來實現最佳訂單執行。然而,高初始投資和監管合規性可能會阻礙市場成長。新興經濟體擴大採用金融技術和線上交易,這可能為市場成長提供機會。人工智慧和雲端運算的日益普及將使非傳統資料來源的分析成為可能,從而使演算法策略變得更加強大。這促使供應商提供雲端基礎的演算法解決方案。然而,網路安全風險和缺乏人為判斷可能會阻礙市場成長。

本研究的主要特點

  • 本報告對全球演算法交易市場進行了詳細分析,並列出了以2023年為基準年的預測期(2024-2031)的市場規模和複合年成長率。
  • 它還揭示了各個細分市場的潛在商機,並說明了該市場有吸引力的投資提案矩陣。
  • 它還提供了有關市場促進因素、限制因素、機會、新產品發布和核准、市場趨勢、區域前景、主要企業採取的競爭策略等的重要見解。
  • 它根據公司亮點、產品系列、主要亮點、財務業績和策略等參數,對全球演算法交易市場的主要企業進行了介紹。
  • 該報告的見解使負責人和公司經營團隊能夠就未來的產品發布、升級、市場擴張和行銷策略做出明智的決策。
  • 全球演算法交易市場報告迎合了該行業的各種相關人員,如投資者、供應商、產品製造商、經銷商、新進入者和金融分析師。
  • 透過用於分析全球演算法交易市場的各種策略矩陣,將有助於相關人員做出決策。

目錄

第1章 研究目的與前提

  • 研究目的
  • 先決條件
  • 簡稱

第2章 市場展望

  • 報告說明
    • 市場定義和範圍
  • 執行摘要
  • Coherent Opportunity Map(COM)

第3章市場動態、法規及趨勢分析

  • 市場動態
    • 促進因素
    • 抑制因素
    • 市場機會
  • 監管場景
  • 產業動態
  • 併購
  • 新系統的引入/核准
  • COVID-19 的影響

第4章 全球演算法交易市場,依類型,2019-2031

  • 機構投資者
  • 個人投資者
  • 長期交易者
  • 短期交易者

第5章 全球演算法交易市場,依發展分類,2019-2031

  • 雲端基礎
  • 本地

第6章 全球演算法交易市場,依組織規模分類,2019-2031

  • 小型企業
  • 主要企業

第7章 2019-2031 年全球演算法交易市場(按地區)

  • 北美洲
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東/非洲

第8章 競爭格局

  • 公司簡介
    • 63 moons technologies limited
    • AlgoTrader
    • Argo Software Engineering
    • Citadel LLC
    • FlexTrade Systems, Inc.
    • Hudson River Trading
    • InfoReach, Inc.
    • Lime Trading Corp.
    • Marquee by Goldman Sachs
    • MetaQuotes Ltd
    • Optiver
    • Quanthouse
    • Refinitiv Limited
    • Software AG
    • Symphony

第9章 分析師建議

  • 命運之輪
  • 分析師觀點
  • 一致的機會圖

第10章調查方法

  • 參考
  • 調查方法
簡介目錄
Product Code: CMI2476

Global algorithmic trading market is estimated to be valued at US$ 3.01 Bn in 2024 and is expected to reach US$ 5.48 Bn by 2031, exhibiting a compound annual growth rate (CAGR) of 8.9% from 2024 to 2031.

Report Coverage Report Details
Base Year: 2023 Market Size in 2024: US$ 3.01 Bn
Historical Data for: 2019 to 2023 Forecast Period: 2024 to 2031
Forecast Period 2024 to 2031 CAGR: 8.90% 2031 Value Projection: US$ 5.48 Bn
Figure. Algorithmic Trading Market Share (%), By Region 2024
Algorithmic Trading Market - IMG1

Global algorithmic trading market growth is driven by increasing automation and data analytics in the financial sector. Algorithmic trading utilizes quantitative and qualitative factors to analyze market behavior and execute trades accordingly. It allows for high-frequency and automated execution of transactions based on pre-defined rules and variables. This reduces human errors and minimizes marginal transaction costs. The growth of FinTech solutions further boosts the development of more sophisticated trading algorithms capable of processing huge volumes of data at speeds exceeding human capabilities. Major players are investing heavily in R&D to develop AI and machine learning based advanced algorithms for predictive analysis and optimal trade execution. Global algorithmic trading market can witness growth as automation is core to trading operations.

Market Dynamics:

Global algorithmic trading market growth is driven by the need for speed, efficiency and accuracy in capital markets. Growing volumes of market data and real-time trading necessitate automated systems for optimal order execution. However, high initial investment and regulatory compliances can hamper the market growth. Developing economies experiencing increase in financial technology adoption and online trading can offer market growth opportunities. Increasing popularity of AI and cloud computing makes algorithmic strategies more powerful by enabling analysis of unconventional data sources. This prompt vendors to offer cloud-based algorithmic solutions. However, cybersecurity risks and inability to match human judgment can hamper the market growth.

Key features of the study:

  • This report provides in-depth analysis of the global algorithmic trading market, and provides market size (US$ Bn) and compound annual growth rate (CAGR%) for the forecast period (2024-2031), considering 2023 as the base year.
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market.
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players.
  • It profiles key players in the global algorithmic trading market based on the following parameters - company highlights, products portfolio, key highlights, financial performance, and strategies.
  • Key companies covered as a part of this study include 63 moons technologies limited, AlgoTrader, Argo Software Engineering, Citadel LLC, FlexTrade Systems, Inc., Hudson River Trading, InfoReach, Inc., Lime Trading Corp., Marquee by Goldman Sachs, MetaQuotes Ltd, Optiver, Quanthouse, Refinitiv Limited, Software AG, Symphony.
  • Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics.
  • Global algorithmic trading market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts.
  • Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global algorithmic trading market.

Detailed Segmentation:

  • By Type
    • Institutional Investors
    • Retail Investors
    • Long-term Traders
    • Short-term Traders
  • By Deployment
    • Cloud-based
    • On-premises
  • By Organization Size
    • Small and Medium Enterprises
    • Large Enterprises
  • By Regional
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East & Africa
  • Key Players Insights
    • 63 moons technologies limited
    • AlgoTrader
    • Argo Software Engineering
    • Citadel LLC
    • FlexTrade Systems, Inc.
    • Hudson River Trading
    • InfoReach, Inc.
    • Lime Trading Corp.
    • Marquee by Goldman Sachs
    • MetaQuotes Ltd
    • Optiver
    • Quanthouse
    • Refinitiv Limited
    • Software AG
    • Symphony

Table of Contents

1. Research Objectives and Assumptions

  • Research Objectives
  • Assumptions
  • Abbreviations

2. Market Purview

  • Report Description
    • Market Definition and Scope
  • Executive Summary
    • Market Snippet, By Type
    • Market Snippet, By Deployment
    • Market Snippet, By Organization Size
    • Market Snippet, By Region
  • Coherent Opportunity Map (COM)

3. Market Dynamics, Regulations, and Trends Analysis

  • Market Dynamics
    • Drivers
    • Restraints
    • Market Opportunities
  • Regulatory Scenario
  • Industry Trend
  • Merger and Acquisitions
  • New System Launches/Approvals
  • Impact of COVID-19 Pandemic

4. Global Algorithmic Trading Market, By Type, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • Institutional Investors
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Retail Investors
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Long-term Traders
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Short-term Traders
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

5. Global Algorithmic Trading Market, By Deployment, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • Cloud-based
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • On-premises
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

6. Global Algorithmic Trading Market, By Organization Size, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
    • Segment Trends
  • Small and Medium Enterprises
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)
  • Large Enterprises
    • Introduction
    • Market Size and Forecast, 2019-2031, (US$ Bn)

7. Global Algorithmic Trading Market, By Region, 2019-2031, (US$ Bn)

  • Introduction
    • Market Share Analysis, By Region, 2024 and 2031 (%)
    • Y-o-Y Growth Analysis, 2020-2031
  • North America
    • Regional Trends
    • Market Size and Forecast, By Type, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Deployment, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Organization Size, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • U.S.
      • Canada
  • Europe
    • Regional Trends
    • Market Size and Forecast, By Type, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Deployment, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Organization Size, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • U.K.
      • Germany
      • France
      • Russia
      • Rest of Europe
  • Asia Pacific
    • Regional Trends
    • Market Size and Forecast, By Type, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Deployment, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Organization Size, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • China
      • India
      • Japan
      • ASEAN
      • Australia
      • South Korea
      • Rest of Asia Pacific
  • Latin America
    • Regional Trends
    • Market Size and Forecast, By Type, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Deployment, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Organization Size, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • Brazil
      • Argentina
      • Mexico
      • Rest of Latin America
  • Middle East & Africa
    • Regional Trends
    • Market Size and Forecast, By Type, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Deployment, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Organization Size, 2019-2031, (US$ Bn)
    • Market Size and Forecast, By Country, 2019-2031, (US$ Bn)
      • South Africa
      • GCC Countries
      • Rest of the Middle East & Africa

8. Competitive Landscape

  • Company Profiles
    • 63 moons technologies limited
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • AlgoTrader
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Argo Software Engineering
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Citadel LLC
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • FlexTrade Systems, Inc.
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Hudson River Trading
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • InfoReach, Inc.
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Lime Trading Corp.
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Marquee by Goldman Sachs
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • MetaQuotes Ltd
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Optiver
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Quanthouse
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Refinitiv Limited
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Software AG
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates
    • Symphony
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments/Updates

9. Analyst Recommendations

  • Wheel of Fortune
  • Analyst View
  • Coherent Opportunity Map

10. Research Methodology

  • References
  • Research Methodology
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