North America Algorithmic Trading Market By Component (Solution and Services), By Traders Type (Institutional Investors, Long-Term Traders, Short-Term Traders and Others), By Deployment Type (Cloud and On-premise), By Type (Stock Markets, FOREX, ETF, Bond

North America Algorithmic Trading Market By Component (Solution and Services), By Traders Type (Institutional Investors, Long-Term Traders, Short-Term Traders and Others), By Deployment Type (Cloud and On-premise), By Type (Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others), By Country, Growth Potential, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027

The North America Algorithmic Trading Market would witness market growth of 10.3% CAGR during the forecast period (2021-2027).

Conventionally, traders are monitoring their investment portfolio and trading activities by using market surveillance technology. Applications, like algorithmic trading, have in-built intelligence to create opportunities in the market A according to the yield and other criteria set by the user. Factors like favorable government regulations, reliability, growing demand for fast, and effective order execution, increasing demand for market surveillance, and dropping transaction costs, are likely to boost the requirement for the algorithmic trading market. Big brokerage houses and institutional investors are highly using algorithmic trading to minimize the costs related to bulk trading.

The increasing deployment of the cloud-based algorithmic trading platforms is likely to play a considerable role in the growth of the market, due to diverse benefits, like a gain of most profits, as cloud-based trading solutions are helpful for the traders to automate their trading process, cost-effectiveness, scalability, easy trade data maintenance, and effective management. Cloud-based trading is based on the cloud computing model which uses networks of remote servers generally accessed over the internet to manage, store, and process data. The growth is attributed to the ease of the cloud, traditional traders can organize algorithmic trading in the cloud to ensure new trading strategies, run-time series analysis, and back test while executing trades.

People and the companies in this region are heavily investing in the stock market and trading, which is boosting the demand for algorithmic trading in the market. In addition, the high adoption rate of the latest technologies in the region is also accelerating the regional market. There are many companies that are increasingly participating in trading to maximize their profit margin by adopting algorithmic trading.

Moreover, the benefits of algorithmic trading are also attracting many traders to opt for the system for easy and optimized trading. The government in North America is supporting global trading, which would augment the demand for algorithmic trading in the region. All these factors are together working to push the regional algorithmic trading market forward.

The US market dominated the North America Algorithmic Trading Services Market by Country 2020, and would continue to be a dominant market till 2027; thereby, achieving a market value of $2,724.4 million by 2027. The Canada market is experiencing a CAGR of 14.9% during (2021 - 2027). Additionally, The Mexico market would witness a CAGR of 13.9% during (2021 - 2027).

Based on Component, the market is segmented into Solution and Services. Based on Traders Type, the market is segmented into Institutional Investors, Long-Term Traders, Short-Term Traders and Others. Based on Deployment Type, the market is segmented into Cloud and On-premise. Based on Type, the market is segmented into Stock Markets, FOREX, ETF, Bonds, Cryptocurrencies and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Software AG, Tata Consultancy Services Ltd., Thomson Reuters Corporation (The Woodbridge Company), Argo SE, Inc., MetaQuotes Ltd., Symphony Fintech Solutions Private Limited, Kuberre Systems, Inc., Trading Technologies International, Inc., Vela Trading Systems LLC, and Tethys Technology, Inc.

Scope of the Study

Market Segments covered in the Report:

By Component

  • Solution
  • Services
By Traders Type
  • Institutional Investors
  • Long-Term Traders
  • Short-Term Traders
  • Others
By Deployment Type
  • Cloud
  • On-premise
By Type
  • Stock Markets
  • FOREX
  • ETF
  • Bonds
  • Cryptocurrencies
  • Others
By Country
  • US
  • Canada
  • Mexico
  • Rest of North America
Companies Profiled
  • Software AG
  • Tata Consultancy Services Ltd.
  • Thomson Reuters Corporation (The Woodbridge Company)
  • Argo SE, Inc.
  • MetaQuotes Ltd.
  • Symphony Fintech Solutions Private Limited
  • Kuberre Systems, Inc.
  • Trading Technologies International, Inc.
  • Vela Trading Systems LLC
  • Tethys Technology, Inc.
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Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 North America Algorithmic Trading Market, by Component
1.4.2 North America Algorithmic Trading Market, by Traders Type
1.4.3 North America Algorithmic Trading Market, by Deployment Type
1.4.4 North America Algorithmic Trading Market, by Type
1.4.5 North America Algorithmic Trading Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 KBV Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
Chapter 4. North America Algorithmic Trading Market by Component
4.1 North America Algorithmic Trading Solution Market by Country
4.2 North America Algorithmic Trading Services Market by Country
Chapter 5. North America Algorithmic Trading Market by Traders Type
5.1 North America Algorithmic Trading Institutional Investors Market by Country
5.2 North America Algorithmic Trading Long-Term Traders Market by Country
5.3 North America Algorithmic Trading Short-Term Traders Market by Country
5.4 North America Other Traders Type Algorithmic Trading Market by Country
Chapter 6. North America Algorithmic Trading Market by Deployment Type
6.1 North America Cloud Algorithmic Trading Market by Country
6.2 North America On-premise Algorithmic Trading Market by Country
Chapter 7. North America Algorithmic Trading Market by Type
7.1 North America Stock Markets Algorithmic Trading Market by Country
7.2 North America FOREX Algorithmic Trading Market by Country
7.3 North America ETF Algorithmic Trading Market by Country
7.4 North America Bonds Algorithmic Trading Market by Country
7.5 North America Cryptocurrencies Algorithmic Trading Market by Country
7.6 North America Others Algorithmic Trading Market by Country
Chapter 8. North America Algorithmic Trading Market by Country
8.1 US Algorithmic Trading Market
8.1.1 US Algorithmic Trading Market by Component
8.1.2 US Algorithmic Trading Market by Traders Type
8.1.3 US Algorithmic Trading Market by Deployment Type
8.1.4 US Algorithmic Trading Market by Type
8.2 Canada Algorithmic Trading Market
8.2.1 Canada Algorithmic Trading Market by Component
8.2.2 Canada Algorithmic Trading Market by Traders Type
8.2.3 Canada Algorithmic Trading Market by Deployment Type
8.2.4 Canada Algorithmic Trading Market by Type
8.3 Mexico Algorithmic Trading Market
8.3.1 Mexico Algorithmic Trading Market by Component
8.3.2 Mexico Algorithmic Trading Market by Traders Type
8.3.3 Mexico Algorithmic Trading Market by Deployment Type
8.3.4 Mexico Algorithmic Trading Market by Type
8.4 Rest of North America Algorithmic Trading Market
8.4.1 Rest of North America Algorithmic Trading Market by Component
8.4.2 Rest of North America Algorithmic Trading Market by Traders Type
8.4.3 Rest of North America Algorithmic Trading Market by Deployment Type
8.4.4 Rest of North America Algorithmic Trading Market by Type
Chapter 9. Company Profiles
9.1 Software AG
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.2 Tata Consultancy Services Ltd.
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Recent strategies and developments:
9.2.4.1 Product Launches and Product Expansions:
9.2.5 SWOT Analysis
9.3 Thomson Reuters Corporation (The Woodbridge Company)
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Recent strategies and developments:
9.3.4.1 Product Launches and Product Expansions:
9.4 Argo SE, Inc.
9.4.1 Company Overview
9.5 MetaQuotes Ltd.
9.5.1 Company Overview
9.5.2 Recent strategies and developments:
9.5.2.1 Product Launches and Product Expansions:
9.5.2.2 Partnerships, Collaborations, and Agreements:
9.6 Symphony Fintech Solutions Private Limited
9.6.1 Company Overview
9.6.2 Recent strategies and developments:
9.6.2.1 Partnerships, Collaborations, and Agreements:
9.7 Kuberre Systems, Inc.
9.7.1 Company Overview
9.8 Trading Technologies International, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Partnerships, Collaborations, and Agreements:
9.8.2.2 Acquisition and Mergers:
9.9 Vela Trading Systems LLC
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Product Launches and Product Expansions:
9.9.2.2 Partnerships, Collaborations, and Agreements:
9.9.2.3 Acquisition and Mergers:
9.10. Tethys Technology, Inc.
9.10.1 Company Overview

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