查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1600428

演算法交易市場：按交易類型、組件、部署、組織規模、最終用戶 - 2025-2030 年全球預測

Algorithmic Trading Market by Trading Type (Bonds, Cryptocurrencies, Exchange-Traded Funds), Component (Services, Solutions), Deployment, Organisation Size, End User - Global Forecast 2025-2030
出版日期: | 出版商: 360iResearch | 英文 194 Pages | 商品交期: 最快1-2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。

2023年演算法交易市值為123.5億美元，預計2024年將達到137.2億美元，複合年成長率為11.29%，到2030年將達到261.4億美元。

演算法交易是現代金融市場的一個重要方面，涉及使用複雜的數學模型和演算法來高速、大批量地執行交易。利用人工智慧和機器學習等技術實現交易決策流程自動化。演算法交易的需求在於其提高效率、降低交易成本、最大限度地減少人為錯誤並提高市場交易速度的潛力。其應用範圍廣泛，包括避險基金、投資銀行、仲介和零售交易者，最佳化金融產品的買賣。

主要市場統計
基準年[2023] 123.5億美元
預測年份 [2024] 137.2億美元
預測年份 [2030] 261.4億美元
複合年成長率（%） 11.29%

根據市場洞察，演算法交易的成長主要是由技術進步、對可靠和快速訂單執行的需求增加以及在波動的市場中擴大使用套利等交易策略推動的。雲端處理資源的整合進一步增強了演算法交易的運算能力，為企業高效擴展業務提供了新的機會。此外，資料分析的激增和高頻交易策略的出現為市場參與企業提供了重要的成長途徑。

然而，挑戰包括要求透明度和公平貿易做法的監管監督，這可能是一個限制。市場參與企業面臨著資料隱私、網路安全威脅以及開發強大交易系統所需的大量初始資本投資等限制。此外，閃崩和無法存取專有市場資料可能會帶來營運風險。

該領域的創新和研發重點是開發更複雜的人工智慧主導模型，可以更好地預測市場走勢，最佳化演算法以在不犧牲準確性的情況下提高速度，而快速變化的重點可能會放在提高對市場環境的適應性上。探索去中心化金融（DeFi）交易平台並利用區塊鏈技術來提高交易的安全性，這是一個新的領域。總體而言，在技術發展和監管適應性的推動下，市場動態是高度動態的，要求市場參與企業不斷探索並保持敏捷，以便有效地利用成長機會。

市場動態：揭示快速發展的演算法交易市場的關鍵市場洞察

供給和需求的動態交互作用正在改變演算法交易市場。透過了解這些不斷變化的市場動態，公司可以準備好做出明智的投資決策、完善策略決策並抓住新的商機。全面了解這些趨勢可以幫助企業降低政治、地理、技術、社會和經濟領域的風險，同時消費行為及其對製造成本的影響以及對採購趨勢的影響。

  • 市場促進因素
    • 機構和個人投資者更多地參與金融領域，並要求減少人為偏見和錯誤
    • 與演算法交易相關的市場監督和政府監管的需求日益成長
  • 市場限制因素
    • 缺乏先進演算法交易系統的熟練專業知識
  • 市場機會
    • 更多地採用雲端基礎的解決方案來管理多個訂單和投資組合
    • 對可自訂和多樣化演算法交易的需求不斷成長
  • 市場挑戰
    • 有關演算法的技術限制和準確性問題

波特的五力：駕馭演算法交易市場的策略工具

波特五力框架是理解演算法交易市場競爭格局的重要工具。波特的五力框架為評估公司的競爭地位和探索策略機會提供了清晰的方法。該框架可幫助公司評估市場動態並確定新業務的盈利。這些見解使公司能夠利用自己的優勢，解決弱點並避免潛在的挑戰，從而確保更強大的市場地位。

PESTLE分析：了解演算法交易市場的外部影響

外部宏觀環境因素在塑造演算法交易市場的表現動態方面發揮著至關重要的作用。對政治、經濟、社會、技術、法律和環境因素的分析提供了應對這些影響所需的資訊。透過調查 PESTLE 因素，公司可以更了解潛在的風險和機會。這種分析可以幫助公司預測法規、消費者偏好和經濟趨勢的變化，並為他們做出積極主動的決策做好準備。

市場佔有率分析 了解演算法交易市場的競爭狀況

演算法交易市場的詳細市場佔有率分析可以對供應商績效進行全面評估。公司可以透過比較收益、客戶群和成長率等關鍵指標來揭示自己的競爭定位。該分析揭示了市場集中、分散和整合的趨勢，為供應商提供了製定策略決策所需的洞察力，使他們能夠在日益激烈的競爭中佔有一席之地。

FPNV定位矩陣演算法交易市場廠商績效評估

FPNV定位矩陣是評估演算法交易市場供應商的重要工具。此矩陣允許業務組織根據供應商的商務策略和產品滿意度評估供應商，從而做出符合其目標的明智決策。這四個象限使您能夠清晰、準確地分類供應商，並確定最能滿足您的策略目標的合作夥伴和解決方案。

策略分析和建議繪製您在演算法交易市場的成功之路

演算法交易市場的策略分析對於旨在加強其在全球市場的影響力的公司至關重要。透過審查關鍵資源、能力和績效指標，公司可以識別成長機會並努力改進。這種方法使您能夠克服競爭環境中的挑戰，利用新的商機，並取得長期成功。

本報告對市場進行了全面分析，涵蓋關鍵重點領域：

1. 市場滲透率：詳細檢視當前市場環境、主要企業的廣泛資料、評估其在市場中的影響力和整體影響力。

2. 市場開拓：辨識新興市場的成長機會，評估現有領域的擴張潛力，並提供未來成長的策略藍圖。

3. 市場多元化：分析近期產品發布、開拓地區、關鍵產業進展、塑造市場的策略投資。

4. 競爭評估與情報：徹底分析競爭格局，檢驗市場佔有率、業務策略、產品系列、認證、監理核准、專利趨勢、主要企業的技術進步等。

5. 產品開發與創新：重點在於有望推動未來市場成長的最尖端科技、研發活動和產品創新。

我們也回答重要問題，以幫助相關人員做出明智的決策：

1.目前的市場規模和未來的成長預測是多少？

2. 哪些產品、區隔市場和地區提供最佳投資機會？

3.塑造市場的主要技術趨勢和監管影響是什麼？

4.主要廠商的市場佔有率和競爭地位如何？

5. 推動供應商市場進入和退出策略的收益來源和策略機會是什麼？

目錄

第1章 前言

第2章調查方法

第3章執行摘要

第4章市場概況

第5章市場洞察

  • 市場動態
    • 促進因素
      • 機構和散戶對金融領域的參與度不斷提高，同時要求減少人為偏見和錯誤
      • 對演算法交易的市場監督和政府監管的需求日益增加
    • 抑制因素
      • 缺乏高級演算法交易系統的熟練專業知識
    • 機會
      • 更多地採用雲端基礎的解決方案來管理多個訂單和投資組合
      • 對可自訂和多樣化演算法交易的需求不斷成長
    • 任務
      • 與演算法相關的技術限制和準確性問題
  • 市場區隔分析
    • 交易類型：活性化演算法交易來管理加密貨幣
    • 組件：快速利用服務以減輕營運負擔
    • 部署：演算法交易中雲端基礎的實作非常普遍，使交易量波動的公司受益。
    • 組織規模：大公司擴大投資於演算法交易，以最大限度地提高盈利
    • 最終用戶：系統交易者更多地使用演算法交易，以保持獨立於市場趨勢
  • 波特五力分析
  • PESTEL分析
    • 政治的
    • 經濟
    • 社群
    • 技術的
    • 合法地
    • 環境

第6章 演算法交易市場（依交易類型）

  • 紐帶
  • 加密貨幣
  • 交易所交易基金
  • 外匯
  • 股市

第7章 演算法交易市場：按組成部分

  • 服務
    • 託管服務
    • 專業服務
  • 解決方案
    • 平台
    • 軟體工具

第8章 演算法交易市場：依發展分類

  • 雲
  • 本地

第9章按組織規模分類的演算法交易市場

  • 主要企業
  • 小型企業

第 10 章 演算法交易市場：依最終用戶分類

  • 買方公司
  • 賣方參與者
  • 系統交易者

第11章 美洲演算法交易市場

  • 阿根廷
  • 巴西
  • 加拿大
  • 墨西哥
  • 美國

第12章 亞太地區演算法交易市場

  • 澳洲
  • 中國
  • 印度
  • 印尼
  • 日本
  • 馬來西亞
  • 菲律賓
  • 新加坡
  • 韓國
  • 台灣
  • 泰國
  • 越南

第13章 歐洲、中東和非洲的演算法交易市場

  • 丹麥
  • 埃及
  • 芬蘭
  • 法國
  • 德國
  • 以色列
  • 義大利
  • 荷蘭
  • 奈及利亞
  • 挪威
  • 波蘭
  • 卡達
  • 俄羅斯
  • 沙烏地阿拉伯
  • 南非
  • 西班牙
  • 瑞典
  • 瑞士
  • 土耳其
  • 阿拉伯聯合大公國
  • 英國

第14章競爭格局

  • 2023 年市場佔有率分析
  • FPNV 定位矩陣，2023
  • 競爭情境分析
    • 歐洲期貨交易所推出與彭博電子交易連結的貿易抵銷工作流程
    • B2Prime 和 Spotware 建立策略合作夥伴關係，將流動性解決方案整合到 cTrader 平台中
    • 交易技術推出先進的價差交易演算法
    • Trading Technologies 收購 ATEO 進軍付款技術市場
    • BestEx Research Group LLC 推出了 IS 零演算法，該演算法解決了 VWAP 的局限性並最大限度地減少了實作缺陷。
    • Tradeweb 收購 R8 Technologies 以增強基於演算法的交易能力
    • 泛歐交易所和 MTS推出歐盟債務證券新平台
    • BingX 與 ALGGENE 合作，為演算法交易提供先進的工具、即時策略測試和人工智慧驅動的解決方案。
    • MarketAxess 收購 Pragma 以擴展演算法交易解決方案
    • Tikeron 發布具有行業相關模型的人工智慧交易機器人
  • 戰略分析和建議
    • 富達國家資訊服務
    • 塔塔諮詢服務有限公司
    • 愛華貿易市場有限公司
    • 維圖金融有限公司

公司名單

  • AlgoBulls Technologies Private Limited
  • AlpacaDB, Inc.
  • Argo SE
  • Ava Trade Markets Ltd.
  • Bank of Nova Scotia
  • Citadel LLC
  • Citigroup Inc.
  • CMC Markets PLC
  • Credit Suisse Group AG by UBS Group AG
  • Fidelity National Information Services, Inc.
  • Fiscal Finserve Solution Pvt. Ltd
  • Fiserv, Inc.
  • Gelber Group, LLC
  • Geneva Trading
  • InfoReach, Inc.
  • JPMorgan Chase & Co.
  • Jump Trading LLC
  • Maven Securities Ltd
  • MetaQuotes Ltd.
  • Morgan Stanley & Co LLC.
  • Pepperstone Markets Limited
  • Quantlab Wealth
  • RSJ Securities as
  • Spotware Systems Ltd.
  • Stratos group
  • Symphony Fintech Solutions Private Limited
  • Tata Consultancy Services Limited
  • Tethys Technology, Inc.
  • Tickeron Inc.
  • TradeStation Group, Inc.
  • TRALITY GmbH
  • Two Sigma Securities, LLC
  • VIRTU Financial Inc.
  • Wyden AG
  • XTX Markets Limited
Product Code: MRR-436E657CEA7E

The Algorithmic Trading Market was valued at USD 12.35 billion in 2023, expected to reach USD 13.72 billion in 2024, and is projected to grow at a CAGR of 11.29%, to USD 26.14 billion by 2030.

Algorithmic trading, a significant facet of modern financial markets, involves using advanced mathematical models and algorithms to execute trades at high speeds and elevated volumes. It leverages technologies like Artificial Intelligence and Machine Learning to automate the decision-making process in trading activities. The necessity of algorithmic trading arises from its potential to increase efficiency, reduce transaction costs, minimize human errors, and enhance the speed of market transactions. Its application spans across hedge funds, investment banks, brokers, and retail traders to optimize buying or selling of financial instruments.

KEY MARKET STATISTICS
Base Year [2023] USD 12.35 billion
Estimated Year [2024] USD 13.72 billion
Forecast Year [2030] USD 26.14 billion
CAGR (%) 11.29%

Market insights reveal that algorithmic trading's growth is primarily fueled by technological advancements, increasing demand for reliable and fast order execution, and the rising use of trading strategies like arbitrage in volatile markets. The integration of cloud computing resources further enhances the computational capacities available for algorithmic trading, offering new opportunities for firms to scale operations efficiently. Additionally, the surge in data analytics and the emergence of high-frequency trading strategies present substantial growth avenues for market participants.

However, challenges include regulatory scrutiny that mandates transparency and fair trading practices, which can be a constraint. Market participants face limitations related to data privacy, cybersecurity threats, and the requisite for substantial initial capital investment to develop robust trading systems. Furthermore, flash crashes and the inaccessibility of proprietary market data can pose operational risks.

Innovation and research areas in this domain may focus on developing more sophisticated AI-driven models that can better predict market movements, optimizing algorithms for speed without sacrificing accuracy, and improving adaptability to rapidly changing market conditions. Exploring decentralized finance (DeFi) platforms for trading and leveraging blockchain technology to enhance transaction security present new frontiers. Overall, the nature of the algorithmic trading market is highly dynamic, driven by technological evolution and regulatory adaptability, mandating continuous research and agility from market participants to capitalize on growth opportunities effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Algorithmic Trading Market

The Algorithmic Trading Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

  • Market Drivers
    • Growing participation of institutional and retail investors in financial sectors coupled with demand to reduce human bias and errors
    • Increasing need for market surveillance and government regulations pertaining to algorithmic trading
  • Market Restraints
    • Lack of skilled expertise in high-level algorithmic trading systems
  • Market Opportunities
    • Increasing adoption of cloud-based solutions to manage multiple orders and portfolios
    • Growing demand for customizable and diversified algorithmic trading
  • Market Challenges
    • Technical limitations and accuracy issues related to algorithms

Porter's Five Forces: A Strategic Tool for Navigating the Algorithmic Trading Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Algorithmic Trading Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Algorithmic Trading Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Algorithmic Trading Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Algorithmic Trading Market

A detailed market share analysis in the Algorithmic Trading Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Algorithmic Trading Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Algorithmic Trading Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Algorithmic Trading Market

A strategic analysis of the Algorithmic Trading Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Algorithmic Trading Market, highlighting leading vendors and their innovative profiles. These include AlgoBulls Technologies Private Limited, AlpacaDB, Inc., Argo SE, Ava Trade Markets Ltd., Bank of Nova Scotia, Citadel LLC, Citigroup Inc., CMC Markets PLC, Credit Suisse Group AG by UBS Group AG, Fidelity National Information Services, Inc., Fiscal Finserve Solution Pvt. Ltd, Fiserv, Inc., Gelber Group, LLC, Geneva Trading, InfoReach, Inc., JPMorgan Chase & Co., Jump Trading LLC, Maven Securities Ltd, MetaQuotes Ltd., Morgan Stanley & Co LLC., Pepperstone Markets Limited, Quantlab Wealth, RSJ Securities a.s., Spotware Systems Ltd., Stratos group, Symphony Fintech Solutions Private Limited, Tata Consultancy Services Limited, Tethys Technology, Inc., Tickeron Inc., TradeStation Group, Inc., TRALITY GmbH, Two Sigma Securities, LLC, VIRTU Financial Inc., Wyden AG, and XTX Markets Limited.

Market Segmentation & Coverage

This research report categorizes the Algorithmic Trading Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Based on Trading Type, market is studied across Bonds, Cryptocurrencies, Exchange-Traded Funds, Foreign Exchange, and Stock Markets.
  • Based on Component, market is studied across Services and Solutions. The Services is further studied across Managed Services and Professional Services. The Solutions is further studied across Platforms and Software Tools.
  • Based on Deployment, market is studied across Cloud and On-Premises.
  • Based on Organisation Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises.
  • Based on End User, market is studied across Buy-Side Firms, Sell-Side Participants, and Systematic Traders.
  • Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing participation of institutional and retail investors in financial sectors coupled with demand to reduce human bias and errors
      • 5.1.1.2. Increasing need for market surveillance and government regulations pertaining to algorithmic trading
    • 5.1.2. Restraints
      • 5.1.2.1. Lack of skilled expertise in high-level algorithmic trading systems
    • 5.1.3. Opportunities
      • 5.1.3.1. Increasing adoption of cloud-based solutions to manage multiple orders and portfolios
      • 5.1.3.2. Growing demand for customizable and diversified algorithmic trading
    • 5.1.4. Challenges
      • 5.1.4.1. Technical limitations and accuracy issues related to algorithms
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Trading Type: Emerging adoption of algorithmic trading to manage cryptocurrencies
    • 5.2.2. Component: Burgeoning utilization of the services to reduce operational burdens
    • 5.2.3. Deployment: High penetration of cloud-based deployment in algorithmic trading benefiting firms with fluctuating trading volumes
    • 5.2.4. Organization Size: Rising investments of large enterprises in algorithmic trading to maximize profitability
    • 5.2.5. End User: Growing utilization of algorithmic trading by systematic traders to remain unaffected by market direction
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Algorithmic Trading Market, by Trading Type

  • 6.1. Introduction
  • 6.2. Bonds
  • 6.3. Cryptocurrencies
  • 6.4. Exchange-Traded Funds
  • 6.5. Foreign Exchange
  • 6.6. Stock Markets

7. Algorithmic Trading Market, by Component

  • 7.1. Introduction
  • 7.2. Services
    • 7.2.1. Managed Services
    • 7.2.2. Professional Services
  • 7.3. Solutions
    • 7.3.1. Platforms
    • 7.3.2. Software Tools

8. Algorithmic Trading Market, by Deployment

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. On-Premises

9. Algorithmic Trading Market, by Organisation Size

  • 9.1. Introduction
  • 9.2. Large Enterprises
  • 9.3. Small & Medium-Sized Enterprises

10. Algorithmic Trading Market, by End User

  • 10.1. Introduction
  • 10.2. Buy-Side Firms
  • 10.3. Sell-Side Participants
  • 10.4. Systematic Traders

11. Americas Algorithmic Trading Market

  • 11.1. Introduction
  • 11.2. Argentina
  • 11.3. Brazil
  • 11.4. Canada
  • 11.5. Mexico
  • 11.6. United States

12. Asia-Pacific Algorithmic Trading Market

  • 12.1. Introduction
  • 12.2. Australia
  • 12.3. China
  • 12.4. India
  • 12.5. Indonesia
  • 12.6. Japan
  • 12.7. Malaysia
  • 12.8. Philippines
  • 12.9. Singapore
  • 12.10. South Korea
  • 12.11. Taiwan
  • 12.12. Thailand
  • 12.13. Vietnam

13. Europe, Middle East & Africa Algorithmic Trading Market

  • 13.1. Introduction
  • 13.2. Denmark
  • 13.3. Egypt
  • 13.4. Finland
  • 13.5. France
  • 13.6. Germany
  • 13.7. Israel
  • 13.8. Italy
  • 13.9. Netherlands
  • 13.10. Nigeria
  • 13.11. Norway
  • 13.12. Poland
  • 13.13. Qatar
  • 13.14. Russia
  • 13.15. Saudi Arabia
  • 13.16. South Africa
  • 13.17. Spain
  • 13.18. Sweden
  • 13.19. Switzerland
  • 13.20. Turkey
  • 13.21. United Arab Emirates
  • 13.22. United Kingdom

14. Competitive Landscape

  • 14.1. Market Share Analysis, 2023
  • 14.2. FPNV Positioning Matrix, 2023
  • 14.3. Competitive Scenario Analysis
    • 14.3.1. Eurex introduces trade offset workflow with e-trading connectivity to Bloomberg
    • 14.3.2. B2Prime and Spotware form a strategic partnership to integrate liquidity solutions into the cTrader platform
    • 14.3.3. Trading Technologies launches advanced algorithm for spread trading
    • 14.3.4. Trading Technologies enters the clearing tech market with the acquisition of ATEO
    • 14.3.5. BestEx Research Group LLC launches IS Zero Algorithm to address VWAP limitations and minimize implementation shortfall
    • 14.3.6. Tradeweb acquires R8 Technologies to enhance algo-based trading capabilities
    • 14.3.7. Euronext and MTS launch new platform for EU debt instruments
    • 14.3.8. BingX partners with ALGOGENE to offer advanced tools, real-time strategy testing, and AI-driven solutions for algorithmic trading
    • 14.3.9. MarketAxess acquires Pragma to expand algorithmic trading solutions
    • 14.3.10. Tickeron launches AI-powered trading robots with sector-correlated models
  • 14.4. Strategy Analysis & Recommendation
    • 14.4.1. Fidelity National Information Services, Inc
    • 14.4.2. Tata Consultancy Services Limited
    • 14.4.3. Ava Trade Markets Ltd.
    • 14.4.4. VIRTU Financial Inc.

Companies Mentioned

  • 1. AlgoBulls Technologies Private Limited
  • 2. AlpacaDB, Inc.
  • 3. Argo SE
  • 4. Ava Trade Markets Ltd.
  • 5. Bank of Nova Scotia
  • 6. Citadel LLC
  • 7. Citigroup Inc.
  • 8. CMC Markets PLC
  • 9. Credit Suisse Group AG by UBS Group AG
  • 10. Fidelity National Information Services, Inc.
  • 11. Fiscal Finserve Solution Pvt. Ltd
  • 12. Fiserv, Inc.
  • 13. Gelber Group, LLC
  • 14. Geneva Trading
  • 15. InfoReach, Inc.
  • 16. JPMorgan Chase & Co.
  • 17. Jump Trading LLC
  • 18. Maven Securities Ltd
  • 19. MetaQuotes Ltd.
  • 20. Morgan Stanley & Co LLC.
  • 21. Pepperstone Markets Limited
  • 22. Quantlab Wealth
  • 23. RSJ Securities a.s.
  • 24. Spotware Systems Ltd.
  • 25. Stratos group
  • 26. Symphony Fintech Solutions Private Limited
  • 27. Tata Consultancy Services Limited
  • 28. Tethys Technology, Inc.
  • 29. Tickeron Inc.
  • 30. TradeStation Group, Inc.
  • 31. TRALITY GmbH
  • 32. Two Sigma Securities, LLC
  • 33. VIRTU Financial Inc.
  • 34. Wyden AG
  • 35. XTX Markets Limited

LIST OF FIGURES

  • FIGURE 1. ALGORITHMIC TRADING MARKET RESEARCH PROCESS
  • FIGURE 2. ALGORITHMIC TRADING MARKET SIZE, 2023 VS 2030
  • FIGURE 3. GLOBAL ALGORITHMIC TRADING MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 5. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 6. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2023 VS 2030 (%)
  • FIGURE 7. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
  • FIGURE 9. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
  • FIGURE 11. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2023 VS 2030 (%)
  • FIGURE 13. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2023 VS 2030 (%)
  • FIGURE 15. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 16. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 17. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 18. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
  • FIGURE 19. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 20. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 21. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
  • FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
  • FIGURE 24. ALGORITHMIC TRADING MARKET SHARE, BY KEY PLAYER, 2023
  • FIGURE 25. ALGORITHMIC TRADING MARKET, FPNV POSITIONING MATRIX, 2023

LIST OF TABLES

  • TABLE 1. ALGORITHMIC TRADING MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2023
  • TABLE 3. GLOBAL ALGORITHMIC TRADING MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. ALGORITHMIC TRADING MARKET DYNAMICS
  • TABLE 7. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY BONDS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY CRYPTOCURRENCIES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY EXCHANGE-TRADED FUNDS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY FOREIGN EXCHANGE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY STOCK MARKETS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY MANAGED SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY PROFESSIONAL SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY PLATFORMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SOFTWARE TOOLS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY ON-PREMISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SMALL & MEDIUM-SIZED ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY BUY-SIDE FIRMS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SELL-SIDE PARTICIPANTS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL ALGORITHMIC TRADING MARKET SIZE, BY SYSTEMATIC TRADERS, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 34. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 35. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 37. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 38. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 39. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 40. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 42. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 43. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 44. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 45. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 46. ARGENTINA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 47. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 48. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 49. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 50. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 51. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 52. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 53. BRAZIL ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 54. CANADA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 55. CANADA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 56. CANADA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 57. CANADA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 58. CANADA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 59. CANADA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 60. CANADA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 61. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 62. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 63. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 64. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 65. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 66. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 67. MEXICO ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 68. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 69. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 70. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 71. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 72. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 73. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 74. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 75. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 76. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 77. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 78. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 79. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 80. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 81. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 82. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 83. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 84. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 86. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 87. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 88. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 89. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 90. AUSTRALIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 91. CHINA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 92. CHINA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 93. CHINA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 94. CHINA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 95. CHINA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 96. CHINA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 97. CHINA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 98. INDIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 99. INDIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 100. INDIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 101. INDIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 102. INDIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 103. INDIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 104. INDIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 105. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 106. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 107. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 108. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 109. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 110. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 111. INDONESIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 112. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 113. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 114. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 115. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 116. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 117. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 118. JAPAN ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 119. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 120. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 121. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 122. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 123. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 124. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 125. MALAYSIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 126. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 128. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 129. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 130. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 131. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 132. PHILIPPINES ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 133. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 134. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 135. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 136. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 137. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 138. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 139. SINGAPORE ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 140. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 141. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 142. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 143. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 144. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 145. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 146. SOUTH KOREA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 147. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 148. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 149. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 150. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 151. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 152. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 153. TAIWAN ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 154. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 155. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 156. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 157. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 158. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 159. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 160. THAILAND ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 161. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 162. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 163. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 164. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 165. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 166. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 167. VIETNAM ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 168. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 169. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 170. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 171. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 172. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 173. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 174. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 175. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 176. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 177. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 178. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 179. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 180. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 181. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 182. DENMARK ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 183. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 184. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 185. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 186. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 187. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 188. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 189. EGYPT ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 190. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 191. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 192. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 193. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 194. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 195. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 196. FINLAND ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 197. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 198. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 199. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 200. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 201. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 202. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 203. FRANCE ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 204. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 205. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 206. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 207. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 208. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 209. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 210. GERMANY ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 211. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 212. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 213. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 214. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 215. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 216. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 217. ISRAEL ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 218. ITALY ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 219. ITALY ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 220. ITALY ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 221. ITALY ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 222. ITALY ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 223. ITALY ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 224. ITALY ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 225. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 226. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 227. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 228. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 229. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 230. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 231. NETHERLANDS ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 232. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 233. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 234. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 235. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 236. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 237. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 238. NIGERIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 239. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 240. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 241. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 242. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 243. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 244. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 245. NORWAY ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 246. POLAND ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 247. POLAND ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 248. POLAND ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 249. POLAND ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 250. POLAND ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 251. POLAND ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 252. POLAND ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 253. QATAR ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 254. QATAR ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 255. QATAR ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 256. QATAR ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 257. QATAR ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 258. QATAR ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 259. QATAR ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 260. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 261. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 262. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 263. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 264. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 265. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 266. RUSSIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 267. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 268. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 269. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 270. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 271. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 272. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 273. SAUDI ARABIA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 274. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 275. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 276. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 277. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 278. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 279. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 280. SOUTH AFRICA ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 281. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 282. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 283. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 284. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 285. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 286. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 287. SPAIN ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 288. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 289. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 290. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 291. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 292. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 293. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 294. SWEDEN ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 295. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 296. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 297. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 298. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 299. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 300. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 301. SWITZERLAND ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 302. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 303. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 304. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 305. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 306. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 307. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 308. TURKEY ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 309. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 310. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 311. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 312. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 313. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 314. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 315. UNITED ARAB EMIRATES ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 316. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2018-2030 (USD MILLION)
  • TABLE 317. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
  • TABLE 318. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
  • TABLE 319. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY SOLUTIONS, 2018-2030 (USD MILLION)
  • TABLE 320. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
  • TABLE 321. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2018-2030 (USD MILLION)
  • TABLE 322. UNITED KINGDOM ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
  • TABLE 323. ALGORITHMIC TRADING MARKET SHARE, BY KEY PLAYER, 2023
  • TABLE 324. ALGORITHMIC TRADING MARKET, FPNV POSITIONING MATRIX, 2023