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Global Algorithmic Trading Market By Type( On-Premise, Cloud-Based ), By Application ( Investment Banks, Funds, Personal Investors, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2029
  • Report ID 133999
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details

    The report on Algorithmic Trading Market offers in-depth analysis on market trends, drivers, restraints, opportunities etc. Along with qualitative information, this report include the quantitative analysis of various segments in terms of market share, growth, opportunity analysis, market value, etc. for the forecast years. The global algorithmic trading market is segmented on the basis of Type, Application and geography.

    The global Algorithmic Trading market was valued at US$ 10,636.8 Mn in 2018 and is projected to increase significantly at a CAGR of 10.8% from 2019 to 2028.

    Algorithmic Trading Market Scope:

    By type, the market is segmented into, On-Premise, Cloud-Based and. By Application, the market is divided into, Investment Banks, Funds, Personal Investors and Others.
    Based on geography, market is analyzed across North America, Europe, Asia-Pacific, Latin America and Middle East and Africa. Major players profiled in the report include, Virtu Financial, KCG, DRW Trading, Optiver, Tower Research Capital, Flow Traders, Hudson River Trading, Jump Trading, RSJ Algorithmic Trading, Spot Trading, Sun Trading, Tradebot Systems, IMC, Quantlab Financial, Teza Technologies .

    Key Market Segments

    Type

    On-Premise
    Cloud-Based

    Application

    Investment Banks
    Funds
    Personal Investors
    Others

    Key Market Players included in the report:

    Virtu Financial
    KCG
    DRW Trading
    Optiver
    Tower Research Capital
    Flow Traders
    Hudson River Trading
    Jump Trading
    RSJ Algorithmic Trading
    Spot Trading
    Sun Trading
    Tradebot Systems
    IMC
    Quantlab Financial
    Teza Technologies

    Reasons to Get this Report:

    In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and Algorithmic Trading Market share analysis of high players, along with company profiles and which collectively include about the fundamental opinions regarding the market landscape. Emerging and high-growth sections of Algorithmic Trading Market, high-growth regions, and market drivers, restraints and also market chances.
    The analysis covers Algorithmic Trading Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Algorithmic Trading Market across sections such as also Application and representatives.
    Additionally, the analysis also has a comprehensive review of the crucial players on the Algorithmic Trading Market together side their company profiles, SWOT analysis, latest advancements and business plans.

    The analysis objectives of the report are:

    To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers and industry-specific challenges and risks).
    To know the Algorithmic Trading Market by pinpointing its many subsegments.
    To profile the important players and analyze their growth plans.
    To endeavor the amount and value of Algorithmic Trading sub-markets, depending on key regions (various vital states).
    To analyze Algorithmic Trading Market concerning growth trends, prospects and also their participation in the entire sector.
    To examine and study the Algorithmic Trading Market size (volume & value) from the company, essential regions/countries, products and Application, background information from 2012 to 2018 and also prediction to 2028.
    Primary worldwide Algorithmic Trading Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    To examine competitive progress such as expansions, arrangements, new product launches and acquisitions on the market.

  • Table Of Content

    1. Algorithmic Trading Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players3. Global Algorithmic Trading Market Overview

    3.1. Algorithmic Trading Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Manufacturer Intensity Map4. Global Algorithmic Trading Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Algorithmic Trading Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3.On-Premise
    4.4.Cloud-Based5. Global Algorithmic Trading Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Algorithmic Trading Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3.Investment Banks
    5.4.Funds
    5.5.Personal Investors
    5.6.Others6. Global Algorithmic Trading Market Value (US$ Mn), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Algorithmic Trading Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2. Europe

    6.2.1. Europe Algorithmic Trading Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Algorithmic Trading Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia

    6.4. Latin America

    6.4.1. Latin America Algorithmic Trading Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Algorithmic Trading Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA
    7. Global Algorithmic Trading Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3.Company Overview

    7.3.1. Financial Highlights
    7.3.2. Product Portfolio
    7.3.3. SWOT Analysis
    7.3.4. Key Strategies and Developments7.4.Virtu Financial

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments7.5.KCG

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments7.6.DRW Trading

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments7.7.Optiver

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments7.8.Tower Research Capital

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments7.9.Flow Traders

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments7.10.Hudson River Trading

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments7.11.Jump Trading

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments7.12.RSJ Algorithmic Trading

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments7.13.Spot Trading

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments7.14.Sun Trading

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments7.15.Tradebot Systems

    7.15.1. Company Overview
    7.15.2. Financial Highlights
    7.15.3. Product Portfolio
    7.15.4. SWOT Analysis
    7.15.5. Key Strategies and Developments7.16.IMC

    7.16.1. Company Overview
    7.16.2. Financial Highlights
    7.16.3. Product Portfolio
    7.16.4. SWOT Analysis
    7.16.5. Key Strategies and Developments7.17.Quantlab Financial

    7.17.1. Company Overview
    7.17.2. Financial Highlights
    7.17.3. Product Portfolio
    7.17.4. SWOT Analysis
    7.17.5. Key Strategies and Developments7.18.Teza Technologies

    7.18.1. Company Overview
    7.18.2. Financial Highlights
    7.18.3. Product Portfolio
    7.18.4. SWOT Analysis
    7.18.5. Key Strategies and Developments7.19.Company Overview

    7.19.1. Financial Highlights
    7.19.2. Product Portfolio
    7.19.3. SWOT Analysis
    7.19.4. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    Research Insights & Deliverables
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    Research Insights & Deliverables
    • Development and Future ForecastDevelopment and Future Forecast
    • Competitive benchmarkingCompetitive benchmarking
    • Company Revenue StatisticsCompany Revenue Statistics
    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment