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レポート概要
| 360iResearch社は、世界のアルゴリズム取引市場規模が2021年に141.1億ドル、2022年に157.3億ドルとなり、更に年平均11.59％成長して2027年には272.7億ドルに達すると予測しています。当市場調査レポートでは、アルゴリズム取引の世界市場を総合的に分析し、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、取引タイプ別分析（債券、暗号通貨、上場投資信託、外国為替、株式市場）、コンポーネント別分析（サービス、ソリューション）、展開別分析（クラウド、オンプレミス）、エンドユーザー別分析（バイサイド企業、セルサイド参加者、システマティックトレーダー）、地域別分析（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）、競争状況、企業情報などの内容を掲載しています。なお、当書には、63 Moons、Argo SE、Automated Trading SoftTech、InfoReach、iRageCapital、Kuberre Systems、MetaQuotes Software、QuantCore Capital Management、Software AG、Symphony、Tata Consultancy Services、Tethys、Thomson Reuters、Virtu Financialなどの企業情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界のアルゴリズム取引市場規模：取引タイプ別 - 債券の市場規模 - 暗号通貨の市場規模 - 上場投資信託の市場規模 - 外国為替の市場規模 - 株式市場の市場規模 ・世界のアルゴリズム取引市場規模：コンポーネント別 - サービスの市場規模 - ソリューションの市場規模 ・世界のアルゴリズム取引市場規模：展開別 - クラウドの市場規模 - オンプレミスの市場規模 ・世界のアルゴリズム取引市場規模：エンドユーザー別 - バイサイド企業における市場規模 - セルサイド参加者における市場規模 - システマティックトレーダーにおける市場規模 ・世界のアルゴリズム取引市場規模：地域別 - 南北アメリカのアルゴリズム取引市場規模 アメリカのアルゴリズム取引市場規模 カナダのアルゴリズム取引市場規模 ブラジルのアルゴリズム取引市場規模 ... - アジア太平洋のアルゴリズム取引市場規模 日本のアルゴリズム取引市場規模 中国のアルゴリズム取引市場規模 インドのアルゴリズム取引市場規模 韓国のアルゴリズム取引市場規模 台湾のアルゴリズム取引市場規模 ... - ヨーロッパ/中東/アフリカのアルゴリズム取引市場規模 イギリスのアルゴリズム取引市場規模 ドイツのアルゴリズム取引市場規模 フランスのアルゴリズム取引市場規模 ロシアのアルゴリズム取引市場規模 ... - その他地域のアルゴリズム取引市場規模 ・競争状況 ・企業情報 |
The Global Algorithmic Trading Market size was estimated at USD 14.11 billion in 2021 and expected to reach USD 15.73 billion in 2022, and is projected to grow at a CAGR 11.59% to reach USD 27.27 billion by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Algorithmic Trading to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Trading Type, the market was studied across Bonds, Cryptocurrencies, Exchange-Traded Funds, Foreign Exchange, and Stock Markets.
Based on Component, the market was 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, the market was studied across Cloud and On-Premises.
Based on Organisation Size, the market was studied across Large Enterprises and Small and Medium-Sized Enterprises.
Based on End User, the market was studied across Buy-side Firms, Sell-side Participants, and Systematic Traders.
Based on Region, the market was 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.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Algorithmic Trading market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Algorithmic Trading Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Algorithmic Trading Market, including 63 Moons, Argo SE, Automated Trading SoftTech, InfoReach, iRageCapital, Kuberre Systems, MetaQuotes Software, QuantCore Capital Management, Software AG, Symphony, Tata Consultancy Services, Tethys, Thomson Reuters, and Virtu Financial.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Algorithmic Trading Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Algorithmic Trading Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Algorithmic Trading Market?
4. What is the competitive strategic window for opportunities in the Global Algorithmic Trading Market?
5. What are the technology trends and regulatory frameworks in the Global Algorithmic Trading Market?
6. What is the market share of the leading vendors in the Global Algorithmic Trading Market?
7. What modes and strategic moves are considered suitable for entering the Global Algorithmic Trading Market?
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. Limitations
1.7. Assumptions
1.8. 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. Intense demand for having fast, reliable, and effective order execution and need to reduce transaction costs
5.1.1.2. Need for market surveillance and government regulations pertaiang to trading
5.1.1.3. Increasing adoption of cloud-based solutions to manage multiple orders & portfolios simultaneously
5.1.2. Restraints
5.1.2.1. Limited monitoring and insufficient risk valuation capabilities
5.1.3. Opportunities
5.1.3.1. Algorithmic trading reducing human bias and errors
5.1.3.2. AI and algorithms in financial services sector
5.1.4. Challenges
5.1.4.1. Issues with accuracy and consistency in algorithms
5.2. Cumulative Impact of COVID-19
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
7.3.1. Managed Services
7.3.2. Professional Services
7.3. Solutions
7.4.1. Platforms
7.4.2. 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 and 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. FPNV Positioning Matrix
14.1.1. Quadrants
14.1.2. Business Strategy
14.1.3. Product Satisfaction
14.2. Market Ranking Analysis, By Key Player
14.3. Market Share Analysis, By Key Player
14.4. Competitive Scenario
14.4.1. Merger & Acquisition
14.4.2. Agreement, Collaboration, & Partnership
14.4.3. New Product Launch & Enhancement
14.4.4. Investment & Funding
14.4.5. Award, Recognition, & Expansion
15. Company Usability Profiles
15.1. 63 Moons
15.1.1. Business Overview
15.1.2. Key Executives
15.1.3. Product & Services
15.2. Argo SE
15.2.1. Business Overview
15.2.2. Key Executives
15.2.3. Product & Services
15.3. Automated Trading SoftTech
15.3.1. Business Overview
15.3.2. Key Executives
15.3.3. Product & Services
15.4. InfoReach
15.4.1. Business Overview
15.4.2. Key Executives
15.4.3. Product & Services
15.5. iRageCapital
15.5.1. Business Overview
15.5.2. Key Executives
15.5.3. Product & Services
15.6. Kuberre Systems
15.6.1. Business Overview
15.6.2. Key Executives
15.6.3. Product & Services
15.7. MetaQuotes Software
15.7.1. Business Overview
15.7.2. Key Executives
15.7.3. Product & Services
15.8. QuantCore Capital Management
15.8.1. Business Overview
15.8.2. Key Executives
15.8.3. Product & Services
15.9. Software AG
15.9.1. Business Overview
15.9.2. Key Executives
15.9.3. Product & Services
15.10. Symphony
15.10.1. Business Overview
15.10.2. Key Executives
15.10.3. Product & Services
15.11. Tata Consultancy Services
15.11.1. Business Overview
15.11.2. Key Executives
15.11.3. Product & Services
15.12. Tethys
15.12.1. Business Overview
15.12.2. Key Executives
15.12.3. Product & Services
15.13. Thomson Reuters
15.13.1. Business Overview
15.13.2. Key Executives
15.13.3. Product & Services
15.14. Virtu Financial
15.14.1. Business Overview
15.14.2. Key Executives
15.14.3. Product & Services
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing