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2023-2030 年全球算法交易市场
市场调查报告书
商品编码
1311870

2023-2030 年全球算法交易市场

Global Algorithmic Trading Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 215 Pages | 商品交期: 2-3个工作天内

价格

在预测期内，全球算法交易市场的复合年增长率预计将达到 8.5%。政府规则的不断完善，对快速、可靠、高效订单执行的需求不断增长，对市场监管的需求不断增加，以及交易成本不断下降，这些因素都推动了全球算法交易市场的增长。大型经纪公司和机构投资者使用算法交易来降低大宗交易的成本。人工智能（AI）与算法交易的结合为市场增长创造了巨大空间。此外，对算法交易研究的投资不断增加，预计将为市场增长带来机会。例如，2022 年 7 月，Horizon 软件公司通过与巴黎萨克雷大学哈达玛数学博士学院合作资助一个研究项目，加大了对金融研究的投资。该研究将重点关注流动性风险的优化执行、测量和控制，旨在找到一种方法来击败执行算法的基准。

随着市场环境的动荡、交易量的庞大，以及应对遥远工作环境的快速数字化转型需求，算法交易日益增多。为了满足日益增长的需求，市场参与者纷纷推出新的解决方案。例如，2023 年 5 月，总部位于塞浦路斯的另类投资数字资产基金 ARK36 推出了基于机器学习的专有交易软件系统，"以改进其投资组合管理团队驾驭动态加密货币交易世界的方式"。新软件将 "利用先进的算法，使ARK36的交易员能够做出更明智的决策，驾驭市场挑战，并精准、自信地优化他们的交易策略"。

目 录

第 1 章：报告摘要

  • 行业现状分析与增长潜力展望
  • 研究方法和工具
  • 市场细分
    • 按细分市场
    • 按地区

第 2 章：市场概述与洞察

  • 报告范围
  • 分析师洞察与当前市场趋势
    • 主要结论
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • 63 Moons Technologies Ltd.
    • 概述
    • 财务分析
    • SWOT 分析
    • 近期发展
  • Algo Trader AG.
    • 公司概况
    • 财务分析
    • SWOT 分析
    • 近期发展
  • Virtu Financial Inc.
    • 概述
    • 财务分析
    • SWOT 分析
    • 近期发展
  • 关键战略分析

第四章：市场细分

  • 按交易者分類的全球算法交易市场
    • 机构交易商
    • 散户交易者
    • 长期投资者
    • 短期投资者
    • 其他
  • 按部署分類的全球算法交易市场
    • 企业内部
    • 基于云
  • 按组件分類的全球算法交易市场
    • 服务
    • 解决方案
  • 按组织规模分類的全球算法交易市场
    • 大型机构
    • 中小型机构

第五章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 意大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区

第 6 章：公司简介

  • 63 Moons Technologies Limited
  • Algo Trader AG
  • ARGO SE
  • IG Group
  • Info Reach Inc.
  • Jump Trading LLC
  • Kuberre Systems Inc.
  • MetaQuotes Services Corp.
  • Refinitiv Ltd
  • Symphony Fintech Solutions Pvt. Ltd
  • Thomson Reuters
  • Virtu Financial Inc.
Product Code: OMR2027465

Title: Global Algorithmic Trading Market Size, Share & Trends Analysis Report by Types of Trading (Institutional Investors, Retail Investors, Long-term Trading, and Short-term Trading), By Components (Solutions and Services), By Deployment (Cloud and On-premise), By Organization Size (Small and Medium Enterprises and Large Enterprises) Forecast Period (2022-2030).

The global algorithmic trading market is anticipated to grow at a CAGR of 8.5% during the forecast period. The presence of cohesive government rules, the rising demand for quick, reliable, and efficient order execution, the increasing demand for market surveillance, and declining transaction costs has been driving the growth of the global algorithmic trading market. Large brokerage firms and institutional investors use algorithmic trading to reduce the expenses of bulk trading. The integration of Artificial Intelligence (AI) in algorithmic trading is creating huge scope for the market growth. Additionally, the increasing investment in research regarding algorithmic trading is projected to bring opportunities to the market growth. For instance, in July 2022, Horizon Software has been investing more in financial research by funding a research project in partnership with the university of Paris-Saclay-Ecole Doctorale de Mathematiques Hadamard. The study will focus on optimal execution, measurement, and control of liquidity risk, aiming to find a way to beat the benchmark of an execution algo.

Algorithmic trading has increased to cop up with the volatile market circumstances, large trading volume, and need for quick digital transformation to deal with distant working environments. Tomeet the growing demand market players are launching new solutions. For instance, in May 2023, ARK36, the Cyprus-based alternative investment digital asset fund, has launched a proprietary machine learning-based trading software system, "to improve the way its portfolio management team can navigate the dynamic world of crypto currency trading." The new software will "leverage advanced algorithms to enable ARK36's traders to make more informed decisions, navigate market challenges and optimize their trading strategies with precision and confidence."

Segmental Outlook

The global algorithmic trading market is segmented based on type of trading, deployment, component, and organization size. Based on type, the market is segmented into institutional investors, retail investors, long-term trading, and short-term trading. Based on deployment, the market is sub-segmented into cloud and on-premises. Based on component, the market is sub-segmented into solutions and services. Based on organization, the market is sub-segmented into small and medium enterprises and large enterprises.

Institutional Investors Segment to Hold a Prominent Market Share in the Global Algorithmic Trading Market

Institutional investors, such as BFSI sector, credit unions, hedge funds, and investment advisors, pool their money to purchase real estate, securities, or any other kind of investment assets. Moreover, institutional investors regularly use various computer-driven algorithmic strategies in the unpredictable trading marketplace; which is contributing to the growth of this market segment. Algorithmic trading techniques enable the users to improve their profitability and effectively cut down the costs of trades.

Regional Outlooks

The global algorithmic trading market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among these, the Asia-Pacific market is anticipated to cater to a considerable growth over the forecast period.

North America to Hold a Considerable Share in the Global Algorithmic Trading Market

North America held a considerable share in the global algorithmic trading market. In North America, the US held a major market share. The rising investments in trading technologies (such as blockchain), the growing presence of algorithmic trading suppliers, and the cohesive government policies for international trading are all backing the regional market growth.

Moreover, the rising funding for algorithmic trading providers across the region has further driving the market growth. For instance, in March 2023, Auros, a crypto-native algorithmic trading and market making firm with operations in Hong Kong and New York , has raised $17 million in a funding round led by global high frequency trading firm, Vivienne Court. Auros will also use the funds to continue scaling its derivatives solutions business, where projects, decentralized autonomous organizations (DAOs), miners, and accredited institutions can gain access to yield, protection and participation structures from a trusted, market-leading provider.

Market Players Outlook

The major companies serving the global algorithmic trading market include: 63 Moons Technologies Ltd., MetaQuotes Software Corp., Algo Trader AG, Refinitiv Ltd., and Virtu Financial Inc. among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in February 2023, Options Technology, a Capital Markets services provider partnered with Digital Reality for further expanding services to its customers in Singapore via PlatformDIGITAL. The partnership will provide customers with cost-effective, low-latency access to multi-asset trading environments, enabling next-generation trading methods including algorithmic trading.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global algorithmic trading market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. 63 Moons Technologies Ltd.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Algo Trader AG.
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Virtu Financial Inc.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Algorithmic Trading Market By Traders
    • 4.1.1. Institutional Traders
    • 4.1.2. Retail Traders
    • 4.1.3. Long term Investors
    • 4.1.4. Short term Investors
    • 4.1.5. Other
  • 4.2. Global Algorithmic Trading Market by Deployment
    • 4.2.1. On Premises
    • 4.2.2. Cloud Based
  • 4.3. Global Algorithmic Trading Market by Component
    • 4.3.1. Services
    • 4.3.2. Solution
  • 4.4. Global Algorithmic Trading Market by Organization Size
    • 4.4.1. Large Organization
    • 4.4.2. Small & Medium Organization

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World

6. Company Profiles

  • 6.1. 63 Moons Technologies Limited
  • 6.2. Algo Trader AG
  • 6.3. ARGO SE
  • 6.4. IG Group
  • 6.5. Info Reach Inc.
  • 6.6. Jump Trading LLC
  • 6.7. Kuberre Systems Inc.
  • 6.8. MetaQuotes Services Corp.
  • 6.9. Refinitiv Ltd
  • 6.10. Symphony Fintech Solutions Pvt. Ltd
  • 6.11. Thomson Reuters
  • 6.12. Virtu Financial Inc.

LIST OF TABLES

  • 1. GLOBAL ALGORITHMIC TRADING MARKET BY TRADERS, 2022-2030 ($ MILLION)
  • 2. GLOBAL ALGORITHMIC TRADING FOR INSTITUTIONAL TRADERS MARKET BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL ALGORITHMIC TRADING FOR RETAIL TRADERS MARKET BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ALGORITHMIC TRADING FOR LONG TERM INVESTORS MARKET BY REGION, 2022-2030 ($ MILLION)
  • 5. GLOBAL ALGORITHMIC TRADING FOR SHORT TERM INVESTORS MARKET BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL ALGORITHMIC TRADING MARKET BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 7. GLOBAL ON-PREMISES BASED ALGORITHMIC TRADING MARKET BY REGION, 2022-2030 ($ MILLION)
  • 8. GLOBAL CLOUD-BASED ALGORITHMIC TRADING MARKET BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL ALGORITHMIC TRADING MARKET BY COMPONENT, 2022-2030 ($ MILLION)
  • 10. GLOBAL ALGORITHMIC TRADING SERVICES MARKET BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL ALGORITHMIC TRADING SOLUTION MARKET BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL ALGORITHMIC TRADING MARKET BY ORGANIZATION SIZE, 2022-2030 ($ MILLION)
  • 13. GLOBAL ALGORITHMIC TRADING FOR LARGE ORGANIZATION MARKET BY REGION,2022-2030 ($ MILLION)
  • 14. GLOBAL ALGORITHMIC TRADING FOR SMALL & MEDIUM ORGANIZATION MARKET BY REGION,2022-2030 ($ MILLION)
  • 15. GLOBAL ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. NORTH AMERICAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 17. NORTH AMERICAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY TRADERS, 2022-2030 ($ MILLION)
  • 18. NORTH AMERICAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 19. NORTH AMERICAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 20. NORTH AMERICAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY ORGANIZATION SIZE, 2022-2030 ($ MILLION)
  • 21. EUROPEAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 22. EUROPEAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY TRADERS, 2022-2030 ($ MILLION)
  • 23. EUROPEAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 24. EUROPEAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 25. EUROPEAN ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY ORGANIZATION SIZE, 2022-2030 ($ MILLION)
  • 26. ASIA-PACIFIC ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 27. ASIA-PACIFIC ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY TRADERS, 2022-2030 ($ MILLION)
  • 28. ASIA-PACIFIC ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 29. ASIA-PACIFIC ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 30. ASIA-PACIFIC ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY ORGANIZATION SIZE, 2022-2030 ($ MILLION)
  • 31. REST OF THE WORLD ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY TRADERS, 2022-2030 ($ MILLION)
  • 32. REST OF THE WORLD ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT, 2022-2030 ($ MILLION)
  • 33. REST OF THE WORLD ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY COMPONENT, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD ALGORITHMIC TRADING MARKET RESEARCH AND ANALYSIS BY ORGANIZATION SIZE, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ALGORITHMIC TRADING MARKET SHARE BY TRADERS, 2022 VS 2030 (%)
  • 2. GLOBAL ALGORITHMIC TRADING MARKET SHARE BY DEPLOYMENT, 2022 VS 2030 (%)
  • 3. GLOBAL ALGORITHMIC TRADING MARKET SHARE BY COMPONENT, 2022 VS 2030 (%)
  • 4. GLOBAL ALGORITHMIC TRADING MARKET SHARE BY ORGANIZATION SIZE, 2022 VS 2030 (%)
  • 5. GLOBAL ALGORITHMIC TRADING MARKET SHARE BY GEOGRAPHY, 2022 VS 2030, (%)
  • 6. GLOBAL ALGORITHMIC TRADING FOR INSTITUTIONAL TRADERS MARKET BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ALGORITHMIC TRADING FOR RETAIL TRADERS MARKET BY REGION, 2022 VS 2030 (%)
  • 8. GLOBAL ALGORITHMIC TRADING FOR LONG TERM INVESTORS MARKET BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL ALGORITHMIC TRADING FOR SHORT TERM INVESTORS MANAGEMENT MARKET BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL ALGORITHMIC TRADING FOR OTHER BY TRADERS MARKET BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL ON-PREMISES BASED ALGORITHMIC TRADING MARKET BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL CLOUD-BASED ALGORITHMIC TRADING MARKET BY REGION, 2022 VS 2030 (%)
  • 13. GLOBAL ALGORITHMIC TRADING SERVICES MARKET BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL ALGORITHMIC TRADING SOLUTION MARKET BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL ALGORITHMIC TRADING FOR LARGE ORGANIZATION MARKET BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL ALGORITHMIC TRADING FOR SMALL & MEDIUM ORGANIZATION MARKET BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL ALGORITHMIC TRADING MARKET BY REGION, 2022 VS 2030 (%)
  • 18. US ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 19. CANADA MARKET ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 20. UK ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. GERMANY ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. SPAIN ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. FRANCE ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. ITALY ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. REST OF EUROPE ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. INDIA ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. CHINA ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. JAPAN ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. REST OF ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. REST OF WORLD ALGORITHMIC TRADING MARKET SIZE, 2022-2030 ($ MILLION)