演算法交易：市场占有率分析、产业趋势/统计、成长预测，2024-2029

今年演算法交易市场规模为144.2亿美元，复合年增长率为8.53%，预计五年后将达237.4亿美元。

交易者传统上使用市场监控技术来追踪他们的交易业务和投资组合。具有内建智慧的应用程式（例如演算法交易）可以根据用户指定的收益率和其他参数探索市场中的不同机会。

主要亮点

• 由于有利的政府法规，对快速、可靠和高效的订单执行的需求不断增加，对市场监管的需求不断增加以及交易成本的降低，预计演算法交易行业的需求将会增加。主要券商和机构投资者使用演算法交易来降低大量交易的成本。此外，人工智慧（AI）和金融服务演算法的发展预计将创造有吸引力的市场扩张机会。对云端基础的解决方案的需求不断增长预计也将推动演算法交易市场的成长。
• 科技革命极大地改变了我们与世界互动的方式以及我们开展业务的方式。然而，它还远远没有达到成熟，甚至更具颠覆性的技术和方法正在出现，有可能颠覆整个产业并创造全新的商业模式。近年来，先进和智慧型的交易系统随着市场和技术的进步而发展。近年来，这些系统变得越来越普及，因为它们允许各种级别的自动交易。
• 自从现代交易所引入匹配引擎以来，演算法交易已在全球范围内使用。透过消除人为限制，这些技术进步提高了市场处理订单和交易的能力。结果，研究市场的时间范围从秒变成毫秒，市场监控从交易场转移到电脑。市场监督，无论是政府还是交易所，都可以保护市场诚信并保护市场参与企业免受不道德行为的影响。
• 虽然演算法交易有其好处，但它也可能透过导致崩盘（所谓的「闪电崩盘」）和即时流动性损失来放大所研究市场的负面趋势。流动性的即时丧失可能会限制市场成长。
• 由于全球封锁，COVID-19大流行导致对技术的依赖增加。动盪的市场环境、高交易量以及适应远距工作环境的快速数位转型正在导致演算法交易的兴起。

演算法交易市场趋势

云端部署部分预计将推动市场成长

• 云端技术提供了一种自动化流程以及高效储存和管理资料的方法。云端基础的交易还具有在远端伺服器上处理交易的优势。这降低了现场IT基础设施成本，并增强了用于事务测试和建模的云端功能。
• 在云端部署时代，云端基础的演算法交易平台预计将在市场成长中发挥关键作用。云端基础的交易解决方案可让交易者自动化交易流程，从而实现利润最大化，并使交易资料易于维护、扩充性、经济高效且有效管理。这是因为它具有许多优势，包括：
• 云端基础的交易在云端运算模型上运行，通常使用可透过网际网路存取的远端伺服器网路来管理、储存和处理资料。云端的便利性使得交易者可以在云端部署演算法交易，在执行交易时确认新的交易策略、回测和时间序列分析。
• 众所周知，在主要股票市场中，大多数股票交易都是使用执行交易策略的应用程式和机器人来自动化的。最近，金融服务业的新趋势是将演算法交易解决方案等交易解决方案迁移到云端。近年来，越来越多的交易者转向基于云端的演算法交易解决方案。
• 云端的一大好处是业务敏捷性。利用轻鬆快速地存取云端服务供应商的技术和持续创新的能力，同时还允许交易者试验和试点新技术和解决方案，而无需进行大量的前期投资。我们采用即用计量收费模式。具体来说，资本市场公司可以透过多种使用案例和优势将本地解决方案扩展到云端或建构云端原生解决方案。 Flexera Software 的数据显示，截至 2023 年，72% 的企业受访者表示他们已经采用了混合云端。

预计北美将占据较大市场占有率

• 预计北美将占据本次调查市场的最大份额。预测期内推动市场成长的关键因素是增加对交易技术（例如区块链）的投资、演算法交易供应商的增加以及政府对该地区国际贸易的支持不断增加。
• 随着包括高频交易 (HFT) 在内的演算法交易策略在美国证券市场变得普及，这些策略对市场和企业稳定性产生负面影响的可能性也在增加。
• 现代技术透过自动化所有相关交易步骤，正在迅速改变传统投资模式的格式，从而开发出一个可供所有潜在投资者使用的安全有效的生态系统。我就是。
• 北美演算法交易市场在美国美国交易委员会（SEC）和金融业监管机构（FINRA）等机构管理的法律规范内运作。这些监管机构制定了规则和指南，以确保市场诚信、公平实践和风险管理。
• 演算法交易获得了资产管理公司、对冲基金和退休基金等机构投资者的大力支持。这些机构投资者采用演算法交易策略来提高效率、优化执行和管理风险。先进交易平台的可用性和市场资料的获取促进了演算法交易的普及。

演算法交易产业概述

演算法交易市场高度分散，主要参与者包括汤森路透、Jump Trading LLC、Refinitiv Ltd、63 Moons Technologies Limited 和 Virtu Financial Inc.。市场参与者正在采取联盟和收购等策略来加强其产品供应并获得永续的竞争优势。

其他福利

• Excel 格式的市场预测 (ME) 表
• 3 个月的分析师支持

目录

第一章简介

• 研究假设和市场定义
• 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

• 市场概况
• 产业吸引力－波特五力分析
  • 供应商的议价能力
  • 买家/消费者的议价能力
  • 新进入者的威胁
  • 替代品的威胁
  • 竞争公司之间敌对关係的强度
• COVID-19 对市场的影响
• 技术简介
  • 演算法交易策略
    • 动量交易
    • 套利
    • 跟随潮流
    • 基于执行的策略
    • 情绪分析
    • 指数型基金再平衡
    • 基于数学模型的策略
    • 其他演算法交易策略

第五章市场动态

• 市场驱动因素
  • 对快速、可靠、有效的订单执行的需求不断增长
  • 由于交易成本降低，市场监管需求增加
• 市场抑制因素
  • 即时失去流动性

第六章市场区隔

• 按交易者类型
  • 机构投资者
  • 个人投资者
  • 长期交易者
  • 短期交易者
• 按成分
  • 解决方案
    • 平台
    • 软体工具
  • 服务
• 按发展
  • 在云端
  • 本地
• 按组织规模
  • 中小企业
  • 大公司
• 按地区
  • 北美洲
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东/非洲

第七章竞争形势

• 公司简介
  • Thomson Reuters
  • Jump Trading LLC
  • Refinitiv Ltd
  • 63 Moons Technologies Limited
  • Virtu Financial Inc.
  • MetaQuotes Software Corp.
  • Symphony Fintech Solutions Pvt. Ltd
  • Info Reach Inc.
  • ARGO SE
  • IG Group
  • Kuberre Systems Inc.
  • Algo Trader AG

第八章投资分析

第九章 市场机会及未来趋势

The Algorithmic Trading Market was valued at USD 14.42 billion in the current year and is expected to register a CAGR of 8.53%, reaching USD 23.74 billion in five years. Traders have traditionally used market surveillance technology to keep track of their trading operations and investment portfolios. Applications with built-in intelligence, like algorithmic trading, can explore the market for various opportunities based on the yield and other parameters the user specifies.

Key Highlights

• The need for the algorithmic trading industry is anticipated to be driven by favorable governmental rules, rising demand for quick, reliable, and efficient order execution, increasing demand for market surveillance, and declining transaction costs. Large brokerage firms and institutional investors use algorithmic trading to reduce the expenses of bulk trading. Additionally, it is anticipated that the development of artificial intelligence (AI) and financial service algorithms will create attractive market expansion opportunities. A rise in the demand for cloud-based solutions is also anticipated to support the growth of the algorithmic trading market.
• The technological revolution has altered how one can interact with the world and do business. But, far from reaching maturity, the revolution continues to unfold, revealing even more disruptive technologies and approaches capable of disrupting entire industries and spawning significantly new business models. Advanced and intelligent trading systems have evolved with markets and technological advances in recent years. These systems have become increasingly popular in recent years as they enable different levels of automated trading.
• Since the introduction of matching engines in modern exchanges, algorithmic trading has been used globally. By removing human restrictions, such technological advancements have enhanced the capacity of markets to process orders and trades. As a result, the studied market's timeline shifted from seconds to milliseconds, and market surveillance was transferred from the trading pit to computers. Whether conducted by a government or an exchange, market surveillance safeguards market integrity and protects participants from unethical behavior.
• While algorithmic trading has its advantages, it can also amplify the negative trends in the market studied by causing crashes (so-called "flash crashes") and immediate loss of liquidity. The instant loss of liquidity can restrain market growth.
• The COVID-19 pandemic led to increased dependence on technologies owing to the global lockdowns. The volatile market conditions, high trading volume, and drive for rapid digital transformation to cope with the remote working environment have all contributed to the uptick in algorithmic trading.

Algorithmic Trading Market Trends

On-cloud Deployment Segment is expected to drive the Market Growth

• Cloud technologies provide ways to automate processes and efficiently store and maintain data. In addition, cloud-based trading offers the benefits of remote servers to process trades. This reduces onsite IT infrastructure costs and augments the cloud's power to test and model trades.
• In the age of cloud deployment, cloud-based algorithmic trading platforms are projected to play a crucial role in the growth of the market, owing to various benefits, such as obtaining maximum profits, as cloud-based trading solutions enable traders to automate their trading process, easy trade data maintenance, scalability, cost-effectiveness, and effective management.
• Cloud-based trading works on the cloud computing model, which uses networks of remote servers generally accessed over the internet to manage, store, and process data. Attributed to the convenience of the cloud, traders can deploy algorithmic trading in the cloud to check new trading strategies, backtest, and run-time series analysis while executing trades.
• It is well known that most stock transactions are automated in significant stock markets using applications or bots implementing a trading strategy. Recently, an emerging trend in the financial services industry has been the movement of trading solutions, like algorithmic trading solutions, to the cloud. More and more traders have been using algorithmic trading solutions based on the cloud for the past few years.
• One of the significant benefits of the cloud is business agility, leveraging the ability to easily and quickly access technology and continuous innovation provided by cloud service providers, along with a pay-as-you-go model, which enables a trader to experiment and pilot new technologies and solutions without high upfront investments. More specifically, there are various use cases and benefits for capital markets firms extending their on-premises solutions to the cloud or building cloud-native solutions. According to Flexera Software, As of 2023, 72 percent of the enterprise respondents indicated that they had deployed a hybrid cloud in their organization.

North America is Expected to Hold Significant Market Share

• North America is expected to have the most significant market share in the market studied. The main drivers of market growth throughout the forecast period are the rising investments in trading technologies (such as blockchain), the growing presence of algorithmic trading suppliers, and the expanding government backing for international trading in the region.
• As algorithmic trading strategies, including high-frequency trading (HFT), have grown more widespread in the US securities markets, the potential for these strategies to adversely impact market and firm stability has likewise increased.
• Modern technology is rapidly transforming the formats of conventional investment models by automating all associated trading procedures, enabling the development of a secure and effective ecosystem that will be accessible to all potential investors.
• The algorithmic trading market in North America operates within a regulatory framework governed by agencies such as the U.S. Securities and Exchange Commission (SEC) and the Financial Industry Regulatory Authority (FINRA). These regulatory bodies have implemented rules and guidelines to ensure market integrity, fair practices, and risk management.
• Algorithmic trading has gained substantial traction among institutional investors, including asset management firms, hedge funds, and pension funds. These entities employ algorithmic trading strategies to enhance efficiency, optimize execution, and manage risk. The availability of sophisticated trading platforms and access to market data have facilitated the widespread adoption of algorithmic trading.

Algorithmic Trading Industry Overview

The algorithmic trading market is highly fragmented with the presence of major players like Thomson Reuters, Jump Trading LLC, Refinitiv Ltd, 63 Moons Technologies Limited, and Virtu Financial Inc. Players in the market are adopting strategies such as partnerships and acquisitions to enhance their product offerings and gain sustainable competitive advantage.

In June 2023, Virtu Financial launched Alert+, a new workflow solution available in POSIT Alert that enhances the features of POSIT Alert by providing automated routing to Virtu's Covert execution algorithm to seek non-displayed liquidity.

In October 2022, Multi Commodity Exchange of India Limited (MCX) partnered with 63 Moons Technologies for software technology services for three months to continue to experience seamless trading.

In October 2022, Refinitiv, an LSEG business, announced the introduction of a secure, personalized, and frictionless global digital onboarding solution to assist businesses in streamlining their approach to onboarding customers. Refinitiv's digital customer onboarding solution offers a fully configurable user interface, allowing organizations to provide the product application process that can be delivered via the web, mobile, and API.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

• 4.1 Market Overview
• 4.2 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.2.1 Bargaining Power of Suppliers
  • 4.2.2 Bargaining Power of Buyers/Consumers
  • 4.2.3 Threat of New Entrants
  • 4.2.4 Threat of Substitute Products
  • 4.2.5 Intensity of Competitive Rivalry
• 4.3 Impact of COVID-19 on the Market
• 4.4 Technology Snapshot
  • 4.4.1 Algorithmic Trading Strategies
    • 4.4.1.1 Momentum Trading
    • 4.4.1.2 Arbitrage Trading
    • 4.4.1.3 Trend Following
    • 4.4.1.4 Execution-based Strategies
    • 4.4.1.5 Sentiment Analysis
    • 4.4.1.6 Index-fund Rebalancing
    • 4.4.1.7 Mathematical Model-based Strategies
    • 4.4.1.8 Other Algorithmic Trading Strategies

5 MARKET DYNAMICS

• 5.1 Market Drivers
  • 5.1.1 Rising Demand for Fast, Reliable, and Effective Order Execution
  • 5.1.2 Growing Demand for Market Surveillance Augmented by Reduced Transaction Costs
• 5.2 Market Restraints
  • 5.2.1 Instant Loss of Liquidity

6 MARKET SEGMENTATION

• 6.1 By Types of Traders
  • 6.1.1 Institutional Investors
  • 6.1.2 Retail Investors
  • 6.1.3 Long-term Traders
  • 6.1.4 Short-term Traders
• 6.2 By Component
  • 6.2.1 Solutions
    • 6.2.1.1 Platforms
    • 6.2.1.2 Software Tools
  • 6.2.2 Services
• 6.3 By Deployment
  • 6.3.1 On-cloud
  • 6.3.2 On-premise
• 6.4 By Organization Size
  • 6.4.1 Small and Medium Enterprises
  • 6.4.2 Large Enterprises
• 6.5 By Geography
  • 6.5.1 North America
  • 6.5.2 Europe
  • 6.5.3 Asia Pacific
  • 6.5.4 Latin America
  • 6.5.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

• 7.1 Company Profiles
  • 7.1.1 Thomson Reuters
  • 7.1.2 Jump Trading LLC
  • 7.1.3 Refinitiv Ltd
  • 7.1.4 63 Moons Technologies Limited
  • 7.1.5 Virtu Financial Inc.
  • 7.1.6 MetaQuotes Software Corp.
  • 7.1.7 Symphony Fintech Solutions Pvt. Ltd
  • 7.1.8 Info Reach Inc.
  • 7.1.9 ARGO SE
  • 7.1.10 IG Group
  • 7.1.11 Kuberre Systems Inc.
  • 7.1.12 Algo Trader AG

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS