查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1687889

演算法交易 -市場佔有率分析、產業趨勢與統計、成長預測（2025-2030）

Algorithmic Trading - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 100 Pages | 商品交期: 2-3個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

預測期內演算法交易市場預計將實現 8.53% 的複合年成長率

演算法交易-市場-IMG1

關鍵亮點

  • 由於政府監管有利、對快速、可靠和高效訂單執行的需求不斷成長、對市場監控的需求不斷增加以及交易成本下降，演算法交易行業的需求預計將會成長。大型經紀公司和機構投資者使用演算法交易來降低大額交易的成本。此外，人工智慧（AI）和金融服務演算法的發展預計將創造有吸引力的市場擴張機會。對雲端基礎的解決方案的需求不斷成長也有望推動演算法交易市場的成長。
  • 科技革命極大地改變了我們與世界互動的方式以及我們開展業務的方式。然而，這些技術和方法還遠未成熟，甚至出現了更具顛覆性的技術和方法，它們有可能顛覆整個產業，並催生全新的經營模式。近年來，先進的智慧交易系統隨著市場和技術的進步而不斷發展。由於這些系統允許不同程度的自動交易，近年來變得越來越受歡迎。
  • 自從現代交易所引入匹配引擎以來，演算法交易在全球範圍內變得流行起來。透過消除人為的限制，這些技術進步提高了市場處理訂單和交易的能力。結果，研究的市場時間尺度從秒變成毫秒，市場監控從交易大廳轉移到電腦。市場監控，無論是由政府還是交易所進行，都維護著市場的完整性並保護市場參與企業免受不道德行為的侵害。
  • 演算法交易雖然有其優勢，但也有可能透過引發崩盤（所謂的「閃電崩盤」）和即時喪失流動性來放大所研究的負面市場趨勢。流動性的即時喪失可能會抑制市場成長。
  • 由於全球封鎖，COVID-19 疫情導致人們對科技的依賴增加。動盪的市場狀況、高交易量以及為適應遠端工作環境而進行的快速數位轉型的需求都促進了演算法交易的興起。

演算法交易市場趨勢

雲端部署領域可望推動市場成長

  • 雲端技術提供了一種自動化流程和高效儲存和管理資料的方法。雲端基礎的交易還具有在遠端伺服器上處理交易的優勢。這降低了現場IT基礎設施成本並增強了交易測試和建模的雲端功能。
  • 在雲端運算時代，雲端基礎的演算法交易平台有望在市場成長中發揮關鍵作用。雲端基礎的交易解決方案具有眾多優勢，包括使投資者能夠自動化其交易流程以實現利潤最大化、輕鬆維護交易資料、可擴展性、成本效益和有效管理。
  • 雲端基礎的交易基於雲端運算模型，該模型使用通常可透過網際網路存取的遠端伺服器網路來管理、儲存和處理資料。雲端的便利性使得投資者可以在雲端部署演算法交易，從而可以在交易運行時探索、回測並對新的交易策略進行時間序列分析。
  • 眾所周知，在主要股票市場中，大多數股票交易都是自動化的，由應用程式和機器人執行交易策略。最近，金融服務業的新趨勢是轉向基於雲端的交易解決方案，例如演算法交易解決方案。過去幾年，投資者擴大轉向基於雲端的演算法交易解決方案。
  • 雲端運算的一大優勢就是業務敏捷性。它利用輕鬆快速地存取雲端服務供應商提供的技術和持續創新的能力，加上計量收費模式，使投資者無需進行大量的前期投資即可試驗和測試新技術和解決方案。具體來說，資本市場公司將其內部部署解決方案擴展到雲端或建置雲端原生解決方案有各種使用案例和好處。據Flexera Software稱，截至2023年，72%的受訪企業表示他們將採用混合雲端。

預計北美將佔據較大的市場佔有率

  • 預計北美將佔據受調查市場的最大佔有率。在整個預測期內推動市場成長的關鍵因素是增加對交易技術（如區塊鏈）的投資、演算法交易供應商的不斷成長以及政府對該地區國際貿易的支持不斷增加。
  • 隨著包括高頻交易（HFT）在內的演算法交易策略在美國證券市場變得越來越普遍，這些策略對市場和企業穩定產生不利影響的可能性也隨之增加。
  • 現代技術正在透過自動化所有相關交易程序迅速改變傳統投資模式的形式，從而可以開發一個所有潛在投資者都可以存取的安全有效的生態系統。
  • 北美演算法交易市場在美國證券交易委員會（SEC）和金融業監管機構（FINRA）等機構管理的法律規範內運作。這些監管機構制定規則和指導方針，以確保市場誠信、公平行為和風險管理。
  • 演算法交易得到了資產管理公司、避險基金和退休基金等機構投資者的大力支持。這些機構正在採用演算法交易策略來提高效率、最佳化執行和管理風險。先進的交易平台和市場資料有助於推動演算法交易的普及。

演算法交易行業概覽

演算法交易市場高度分散，主要參與者包括湯森路透、Jump Trading LLC、Refinitiv Ltd、63 Moons Technologies Limited 和 Virtu Financial Inc. 該市場的參與企業正在採用合作和收購等策略來加強其產品供應並獲得永續的競爭優勢。

2023 年 6 月，Virtu Financial 宣布推出 Alert+，這是適用於 POSIT 警報的全新工作流程解決方案。 Alert+ 透過為 Virtue 的隱藏執行演算法提供自動路由來實現看不見的流動性，從而增強了 POSIT 警報的功能。

2022 年 10 月，印度商品交易所 (MCX) 與 63 Moon Technologies 合作，提供為期三個月的軟體技術服務，以確保持續無縫交易。

2022 年 10 月，倫敦證券交易所集團的營運公司 Refinitiv 宣布推出安全、個人化且無摩擦的全球數位入職解決方案。 Refinitiv 的數位客戶入職解決方案提供了完全可設定的使用者介面，讓公司提供可透過網路、行動裝置或 API 交付的產品應用程式流程。

其他福利

  • Excel 格式的市場預測 (ME) 表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 研究範圍

第2章調查方法

第3章執行摘要

第4章 市場洞察

  • 市場概覽
  • 產業吸引力-波特五力分析
    • 供應商的議價能力
    • 買家/消費者的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭強度
  • COVID-19 市場影響
  • 技術簡介
    • 演算法交易策略
      • 動量交易
      • 套利
      • 趨勢追蹤
      • 基於執行的策略
      • 情緒分析
      • 再平衡指數基金
      • 基於數學模型的策略
      • 其他演算法交易策略

第5章市場動態

  • 市場促進因素
    • 對快速、可靠和高效的訂單執行的需求不斷增加
    • 降低交易成本增加了對市場監控的需求
  • 市場限制
    • 即時失去流動性

第6章市場區隔

  • 按投資者類型
    • 機構投資者
    • 私人投資者
    • 長期投資者
    • 短期投資者
  • 按組件
    • 解決方案
      • 平台
      • 軟體工具
    • 按服務
  • 按部署
    • 在雲端
    • 本地
  • 按組織規模
    • 中小企業
    • 大型企業
  • 按地區
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲

第7章競爭格局

  • 公司簡介
    • 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8章投資分析

第9章 市場機會與未來趨勢

簡介目錄
Product Code: 66701

The Algorithmic Trading Market is expected to register a CAGR of 8.53% during the forecast period.

Algorithmic Trading - Market - IMG1

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