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表紙：アルゴリズム取引の世界市場2023-2030
市場調査レポート
商品コード
1311870

アルゴリズム取引の世界市場2023-2030

Global Algorithmic Trading Market 2023-2030
出版日: | 発行: Orion Market Research | ページ情報: 英文 215 Pages | 納期: 2～3営業日

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価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円
アルゴリズム取引の世界市場2023-2030
出版日: 2023年06月27日
発行: Orion Market Research
ページ情報: 英文 215 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

アルゴリズム取引の世界市場は、予測期間中にCAGR 8.5％で成長すると予測されます。まとまった政府規則の存在、迅速で信頼性が高く効率的な注文執行に対する需要の高まり、市場監視に対する需要の増加、取引コストの低下が、世界のアルゴリズム取引市場の成長を牽引しています。大手証券会社や機関投資家は、大量取引にかかる費用を削減するためにアルゴリズム取引を利用しています。アルゴリズム取引における人工知能（AI）の統合は、市場成長の大きな可能性を生み出しています。さらに、アルゴリズム取引に関する調査への投資が増加していることも、市場成長に機会をもたらすと予測されます。例えば、2022年7月、Horizon Softwareはパリ・サクレー大学（Paris-Saclay-Ecole Doctorale de Mathematiques Hadamard）と提携した研究プロジェクトに資金を提供し、金融研究にさらなる投資を行っています。この研究では、最適な執行、測定、流動性リスクのコントロールに焦点を当て、執行アルゴのベンチマークに打ち勝つ方法を見つけることを目指します。

アルゴリズム取引は、不安定な市場環境、大量の取引量、遠隔地での作業環境に対応するための迅速なデジタル変換の必要性に対処するために増加しています。高まる需要に対応するため、市場関係者は新たなソリューションを発表しています。例えば、2023年5月、キプロスを拠点とするオルタナティブ投資デジタル資産ファンドのARK36は、独自の機械学習ベースのトレーディング・ソフトウェア・システムを発表しました。新しいソフトウェアは、"高度なアルゴリズムを活用し、ARK36のトレーダーがより多くの情報に基づいた意思決定を行い、市場の課題をナビゲートし、正確かつ自信を持って取引戦略を最適化できるようにする"。

セグメント別の展望

アルゴリズム取引の世界市場において、機関投資家セグメントが圧倒的なシェアを占める

BFSI部門、信用組合、ヘッジファンド、投資顧問などの機関投資家は、不動産、証券、その他あらゆる種類の投資資産を購入するために資金をプールしています。さらに、機関投資家は、予測不可能な取引市場において、さまざまなコンピューター主導のアルゴリズム戦略を定期的に利用しており、これがこの市場セグメントの成長に寄与しています。アルゴリズム取引手法によって、ユーザーは収益性を向上させ、取引コストを効果的に削減することができます。

地域別展望

アルゴリズム取引の世界市場で北米が大きなシェアを占める

世界のアルゴリズム取引市場では、北米が大きなシェアを占めています。北米では米国が大きなシェアを占めています。取引技術（ブロックチェーンなど）への投資の増加、アルゴリズム取引サプライヤーの存在感の高まり、国際取引に対する政府の結束した政策などが、この地域の市場成長を後押ししています。

さらに、地域全体でアルゴリズム取引プロバイダーへの資金調達が増加していることが、市場の成長をさらに後押ししています。例えば、2023年3月、香港とニューヨークで事業を展開する仮想通貨ネイティブのアルゴリズム取引およびマーケットメイク会社Auros は、世界の高頻度取引会社Vivienne Courtが主導する資金調達ラウンドで1,700万米ドルを調達しました。Aurosはまた、プロジェクト、分散型自律組織（DAO）、マイナー、および認定機関が、信頼できる市場をリードするプロバイダーから利回り、保護、参加構造へのアクセスを得ることができるデリバティブソリューション事業の拡大を継続するために資金を使用します。

目次

第1章 レポート概要

  • 業界の現状分析と成長ポテンシャルの展望
  • 調査方法とツール
  • 市場内訳
    • セグメント別
    • 地域別

第2章 市場概要と洞察

  • 調査範囲
  • アナリストの洞察と現在の市場動向
    • 主な調査結果
    • 推奨事項
    • 結論

第3章 競合情勢

  • 主要企業分析
  • 63 Moons Technologies Ltd.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Algo Trader AG.
    • 会社概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • Virtu Financial Inc.
    • 概要
    • 財務分析
    • SWOT分析
    • 最近の動向
  • 主要戦略分析

第4章 市場セグメンテーション

  • アルゴリズム取引の世界市場：トレーダー別
    • 機関投資家
    • 個人トレーダー
    • 長期投資家
    • 短期投資家
    • その他
  • アルゴリズム取引の世界市場：展開別
    • オンプレミス
    • クラウドベース
  • アルゴリズム取引の世界市場：コンポーネント別
    • サービス
    • ソリューション
  • アルゴリズム取引の世界市場：組織規模別
    • 大規模組織
    • 中小組織

第5章 地域別分析

  • 北米
    • 米国
    • カナダ
  • 欧州
    • 英国
    • ドイツ
    • イタリア
    • スペイン
    • フランス
    • その他欧州
  • アジア太平洋
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • 世界のその他の地域

第6章 企業プロファイル

  • 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.
図表

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)
目次
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.