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投资金融科技

市场调查报告书

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1529973

演算法交易的全球市场：按类型、按部署、按组织规模、按地区

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

出版日期: 2024年07月08日 | 出版商:

Coherent Market Insights | 英文 166 Pages | 商品交期: 2-3个工作天内

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简介目录

预计2024年全球演算法交易市场规模将达30.1亿美元，2024年至2031年复合年增长率为8.9%，2031年将达54.8亿美元。

报告范围		报告详情
基准年	2023年	2024年市场规模	30.1亿美元
实际资料	2019-2023	预测期	2024-2031
预测 2024-2031 年复合年增长率：	8.90%	2031 年金额预测	54.8亿美元

图：按地区分類的演算法交易市场份额（%）（2024 年）

全球演算法交易市场的成长是由金融领域自动化和资料分析的不断提高所推动的。演算法交易利用定量和定性因素来分析市场趋势并相应地执行交易。根据预先定义的规则和变数实现频繁且自动的交易执行。这减少了人为错误并最大限度地降低了边际交易成本。金融科技解决方案的发展进一步推动了更复杂的交易演算法的开发，这些演算法可以以超出人类能力的速度处理大量资料。主要参与者正在大力投资研发，以开发基于人工智慧和机器学习的先进演算法，以进行预测分析和最佳交易执行。由于自动化是交易业务的核心，全球演算法交易市场可能会成长。

市场动态：

全球演算法交易市场的成长是由资本市场对速度、效率和准确性的需求所推动的。越来越多的市场资料和即时交易需要自动化系统来实现最佳订单执行。然而，高初始投资和监管合规性可能会阻碍市场成长。新兴经济体越来越多地采用金融技术和线上交易，这可能为市场成长提供机会。人工智慧和云端运算的日益普及将使非传统资料来源的分析成为可能，从而使演算法策略变得更加强大。这促使供应商提供云端基础的演算法解决方案。然而，网路安全风险和缺乏人为判断可能会阻碍市场成长。

本研究的主要特点

本报告对全球演算法交易市场进行了详细分析，并列出了以2023年为基准年的预测期（2024-2031）的市场规模和复合年增长率。
它还揭示了各个细分市场的潜在商机，并说明了该市场有吸引力的投资提案矩阵。
它还提供了有关市场驱动因素、限制因素、机会、新产品发布和核准、市场趋势、区域前景、主要企业采取的竞争策略等的重要见解。
它根据公司亮点、产品系列、主要亮点、财务业绩和策略等参数，对全球演算法交易市场的主要企业进行了介绍。
该报告的见解使负责人和公司经营团队能够就未来的产品发布、升级、市场扩张和行销策略做出明智的决策。
全球演算法交易市场报告迎合了该行业的各种相关人员，如投资者、供应商、产品製造商、经销商、新进入者和金融分析师。
透过用于分析全球演算法交易市场的各种策略矩阵，将有助于相关人员做出决策。

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

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

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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演算法交易的全球市场：按类型、按部署、按组织规模、按地区