Global Algorithmic Trading Market, Analysis, Size, Share, Trends, COVID-19 Impact, and Forecast 2023-2030, By Type, By Application, and By Region (North America, Europe, Asia Pacific, Latin America, and Middle East and Africa)
Market intelx offers the report on “Global Algorithmic Trading Market†Analysis and Forecast 2021-2028. The global Algorithmic Trading market was valued at US$ XX Billion in 2022 and is projected to reach US$ XX Billion in 2030, representing an XX% compound annual growth rate (CAGR) during the forecast period (2023-2030).
The report defines, describes, and forecasts the Algorithmic Trading market, by extensive segments and region. It covers a detailed qualitative and quantitative analysis and various important aspects of the market. These include an analysis of the market dynamics, market analysis, premium insights, COVID-19 impact, segment analysis, regional analysis, competitive landscape, and competitive profiles.
The global Algorithmic Trading market report highlights different scenarios of the Algorithmic Trading Market and offers a comprehensive analysis of historical data (2018-2022 and forecast data (2023-2030)), providing a detailed study on driver, restrains, opportunities, challenges, and emerging trends. This report gives a holistic view on market potential, market dynamics, growth opportunities, segmental markets, geographic scenario, competitive analysis, and projections with a suitable set of methodologies and assumptions. The report also provides value chain analysis, PESTLE analysis, Impact analysis, and PORTER’s analysis. Premium insights give you access to insights that include: top trends, key investment pockets, top strategies followed by key players, and access to a strategic research advisor.
This report will enable you to make better informed decisions and gain a future-proof advantage over your competitors, decode the future of market, access intelligence on new technologies, macroeconomic shifts & social trends, make informed business decisions in response to changes in market, revise business plans and react to shifting industry developments, understanding of changing market dynamics, and identify lucrative opportunities.
Research Particulars:
Revenue: USD Million
Base Year: 2022
Forecast Years: 2023-2030 (Forecast for further years (up to 2035) shall be provided upon request)
Historical Years: 2018-2021
Regions Covered: North America, Asia Pacific, Europe, Latin America, and Middle East & Africa
Countries Covered: US, Canada, Mexico, China, India, Japan, South Korea, Germany, United Kingdom, France, Spain, Italy, Brazil, Argentina, GCC, South Africa, and Others.
Market Analysis: Value Chain Analysis, Porters Analysis, Pestle Analysis, COVID-19 Impact Analysis, and Impact Analysis.
Research Methodology
This report provides in-depth qualitative and quantitative analyses of the Global Algorithmic Trading Market. Deep analysis and research were done during the report preparation. We have collected key data related to the Global Algorithmic Trading Market using multiple approaches. Various secondary sources were referred to for the identification and collection of information for this study. Secondary sources include annual reports, press releases, and investor presentations of companies, white papers, medical journals, certified publications, articles from recognized authors, gold standard and silver standard websites, directories, and databases. The primary sources were industry experts from the core and related industries. These include service providers, technology developers, standards and certification organizations, and organizations related to all segments of the value chain. Interviews were conducted with various primary respondents, including key industry participants, C-level executives of key market players, subject-matter experts (SMEs), and industry consultants, to obtain and verify critical qualitative and quantitative information.
Market engineering process (which includes calculations for market statistics, market breakdown, market size estimations, market forecasting, and data triangulation) was completed with extensive primary research and secondary research to verify and validate the critical numbers arrived at. In the entire market engineering process, both top-down and bottom-up approaches were extensively utilised along with several data triangulation methods to perform market sizing and market forecasting for the overall market segments and sub segments listed in this report.
Competitive Overview
The section highlights the key competitors in the market, with a focus on presenting an in-depth analysis on business strategies including merger & acquisitions, partnership/ agreement/ joint venture, business expansion, new product launches, and other developments. This chapter also provides an analysis on leading companies and their positioning and share analysis. Company profiles focusses on in-depth analysis into their product portfolio, financial overview, geographic presence, growth strategies, and SWOT Analysis.
Market Segmentation:
Market intelx provides an analysis of the key segment and each sub-segment of the global Algorithmic Trading market, along with forecasts at the global, regional, and country levels from 2023-2030. This report has segmented the market based on:
By Type:
On-Premise
Cloud-Based
By Application
Investment Banks
Funds
Personal Investors
Others
Companies Profiles in the Report:
Virtu Financial, 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.
Regional Coverage
The regional analysis includes the in-depth analysis on North America, Asia Pacific, Europe, Latin America and the Middle East and Africa.
• North America
o US
o Canada
o Mexico
• Asia Pacific
o China
o India
o Japan
o South Korea
o Rest of Asia Pacific
• Europe
o Germany
o UK
o France
o Spain
o Italy
o Rest of Europe
• Latin America
o Brazil
o Argentina
o Rest of the Latin America
• Middle East and Africa
o GCC
o South Africa
o Rest of the Middle East and Africa
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered: Ranking by Algorithmic Trading Revenue
1.4 Market Analysis by Type
1.4.1 Global Algorithmic Trading Market Size Growth Rate by Type: 2021 VS 2030
1.4.2 Type 1
1.4.3 Type 2
1.4.4 Type 3
1.4.5 Type 4
1.5 Market by Application
1.5.1 Global Algorithmic Trading Market Share by Application: 2022-2030
1.5.2 Application 1
1.5.3 Application 2
1.6 Study Objectives
1.7 Years Considered
1.8 Overview of Global Algorithmic Trading Market
1.8.1 Global Algorithmic Trading Market Status and Outlook (2016-2030)
1.8.2 North America
1.8.3 East Asia
1.8.4 Europe
1.8.5 South Asia
1.8.6 Southeast Asia
1.8.7 Middle East
1.8.8 Africa
1.8.9 Oceania
1.8.10 South America
1.8.11 Rest of the World
2 Market Competition by Manufacturers
2.1 Global Algorithmic Trading Production Capacity Market Share by Manufacturers (2016-2021)
2.2 Global Algorithmic Trading Revenue Market Share by Manufacturers (2016-2021)
2.3 Global Algorithmic Trading Average Price by Manufacturers (2016-2021)
2.4 Manufacturers Algorithmic Trading Production Sites, Area Served, Product Type
3 Sales by Region
3.1 Global Algorithmic Trading Sales Volume Market Share by Region (2016-2021)
3.2 Global Algorithmic Trading Sales Revenue Market Share by Region (2016-2021)
3.3 North America Algorithmic Trading Sales Volume
3.3.1 North America Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.3.2 North America Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.4 East Asia Algorithmic Trading Sales Volume
3.4.1 East Asia Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.4.2 East Asia Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.5 Europe Algorithmic Trading Sales Volume (2016-2021)
3.5.1 Europe Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.5.2 Europe Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.6 South Asia Algorithmic Trading Sales Volume (2016-2021)
3.6.1 South Asia Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.6.2 South Asia Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.7 Southeast Asia Algorithmic Trading Sales Volume (2016-2021)
3.7.1 Southeast Asia Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.7.2 Southeast Asia Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.8 Middle East Algorithmic Trading Sales Volume (2016-2021)
3.8.1 Middle East Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.8.2 Middle East Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.9 Africa Algorithmic Trading Sales Volume (2016-2021)
3.9.1 Africa Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.9.2 Africa Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.10 Oceania Algorithmic Trading Sales Volume (2016-2021)
3.10.1 Oceania Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.10.2 Oceania Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.11 South America Algorithmic Trading Sales Volume (2016-2021)
3.11.1 South America Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.11.2 South America Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
3.12 Rest of the World Algorithmic Trading Sales Volume (2016-2021)
3.12.1 Rest of the World Algorithmic Trading Sales Volume Growth Rate (2016-2021)
3.12.2 Rest of the World Algorithmic Trading Sales Volume Capacity, Revenue, Price and Gross Margin (2016-2021)
4 North America
4.1 North America Algorithmic Trading Consumption by Countries
4.2 United States
4.3 Canada
4.4 Mexico
5 East Asia
5.1 East Asia Algorithmic Trading Consumption by Countries
5.2 China
5.3 Japan
5.4 South Korea
6 Europe
6.1 Europe Algorithmic Trading Consumption by Countries
6.2 Germany
6.3 United Kingdom
6.4 France
6.5 Italy
6.6 Russia
6.7 Spain
6.8 Netherlands
6.9 Switzerland
6.10 Poland
7 South Asia
7.1 South Asia Algorithmic Trading Consumption by Countries
7.2 India
7.3 Pakistan
7.4 Bangladesh
8 Southeast Asia
8.1 Southeast Asia Algorithmic Trading Consumption by Countries
8.2 Indonesia
8.3 Thailand
8.4 Singapore
8.5 Malaysia
8.6 Philippines
8.7 Vietnam
8.8 Myanmar
9 Middle East
9.1 Middle East Algorithmic Trading Consumption by Countries
9.2 Turkey
9.3 Saudi Arabia
9.4 Iran
9.5 United Arab Emirates
9.6 Israel
9.7 Iraq
9.8 Qatar
9.9 Kuwait
9.10 Oman
10 Africa
10.1 Africa Algorithmic Trading Consumption by Countries
10.2 Nigeria
10.3 South Africa
10.4 Egypt
10.5 Algeria
10.6 Morocco
11 Oceania
11.1 Oceania Algorithmic Trading Consumption by Countries
11.2 Australia
11.3 New Zealand
12 South America
12.1 South America Algorithmic Trading Consumption by Countries
12.2 Brazil
12.3 Argentina
12.4 Columbia
12.5 Chile
12.6 Venezuela
12.7 Peru
12.8 Puerto Rico
12.9 Ecuador
13 Rest of the World
13.1 Rest of the World Algorithmic Trading Consumption by Countries
13.2 Kazakhstan
14 Sales Volume, Sales Revenue, Sales Price Trend by Type
14.1 Global Algorithmic Trading Sales Volume Market Share by Type (2016-2021)
14.2 Global Algorithmic Trading Sales Revenue Market Share by Type (2016-2021)
14.3 Global Algorithmic Trading Sales Price by Type (2016-2021)
15 Consumption Analysis by Application
15.1 Global Algorithmic Trading Consumption Volume by Application (2016-2021)
15.2 Global Algorithmic Trading Consumption Value by Application (2016-2021)
16 Company Profiles and Key Figures in Algorithmic Trading Business
16.1 Company 1
16.1.1 Company 1 Company Profile
16.1.2 Company 1 Algorithmic Trading Product Specification
16.1.3 Company 1 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.2 Company 2
16.2.1 Company 2 Company Profile
16.2.2 Company 2 Algorithmic Trading Product Specification
16.2.3 Company 2 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.3 Company 3
16.3.1 Company 3 Company Profile
16.3.2 Company 3 Algorithmic Trading Product Specification
16.3.3 Company 3 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.4 Company 4
16.4.1 Company 4 Company Profile
16.4.2 Company 4 Algorithmic Trading Product Specification
16.4.3 Company 4 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.5 Company 5
16.5.1 Company 5 Company Profile
16.5.2 Company 5 Algorithmic Trading Product Specification
16.5.3 Company 5 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.6 Company 6
16.6.1 Company 6 Company Profile
16.6.2 Company 6 Algorithmic Trading Product Specification
16.6.3 Company 6 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.7 Company 7
16.7.1 Company 7 Company Profile
16.7.2 Company 7 Algorithmic Trading Product Specification
16.7.3 Company 7 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.8 Company 8
16.8.1 Company 8 Company Profile
16.8.2 Company 8 Algorithmic Trading Product Specification
16.8.3 Company 8 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
16.9 Company 9
16.9.1 Company 9 Company Profile
16.9.2 Company 9 Algorithmic Trading Product Specification
16.9.3 Company 9 Algorithmic Trading Production Capacity, Revenue, Price and Gross Margin (2016-2021)
17 Algorithmic Trading Manufacturing Cost Analysis
17.1 Algorithmic Trading Key Raw Materials Analysis
17.1.1 Key Raw Materials
17.2 Proportion of Manufacturing Cost Structure
17.3 Manufacturing Process Analysis of Algorithmic Trading
17.4 Algorithmic Trading Industrial Chain Analysis
18 Marketing Channel, Distributors and Customers
18.1 Marketing Channel
18.2 Algorithmic Trading Distributors List
18.3 Algorithmic Trading Customers
19 Market Dynamics
19.1 Market Trends
19.2 Opportunities and Drivers
19.3 Challenges
19.4 Porter's Five Forces Analysis
20 Production and Supply Forecast
20.1 Global Forecasted Production of Algorithmic Trading (2022-2030)
20.2 Global Forecasted Revenue of Algorithmic Trading (2022-2030)
20.3 Global Forecasted Price of Algorithmic Trading (2016-2030)
20.4 Global Forecasted Production of Algorithmic Trading by Region (2022-2030)
20.4.1 North America Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.2 East Asia Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.3 Europe Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.4 South Asia Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.5 Southeast Asia Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.6 Middle East Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.7 Africa Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.8 Oceania Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.9 South America Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.4.10 Rest of the World Algorithmic Trading Production, Revenue Forecast (2022-2030)
20.5 Forecast by Type and by Application (2022-2030)
20.5.1 Global Sales Volume, Sales Revenue and Sales Price Forecast by Type (2022-2030)
20.5.2 Global Forecasted Consumption of Algorithmic Trading by Application (2022-2030)
21 Consumption and Demand Forecast
21.1 North America Forecasted Consumption of Algorithmic Trading by Country
21.2 East Asia Market Forecasted Consumption of Algorithmic Trading by Country
21.3 Europe Market Forecasted Consumption of Algorithmic Trading by Countriy
21.4 South Asia Forecasted Consumption of Algorithmic Trading by Country
21.5 Southeast Asia Forecasted Consumption of Algorithmic Trading by Country
21.6 Middle East Forecasted Consumption of Algorithmic Trading by Country
21.7 Africa Forecasted Consumption of Algorithmic Trading by Country
21.8 Oceania Forecasted Consumption of Algorithmic Trading by Country
21.9 South America Forecasted Consumption of Algorithmic Trading by Country
21.10 Rest of the world Forecasted Consumption of Algorithmic Trading by Country
22 Research Findings and Conclusion
23 Methodology and Data Source
23.1 Methodology/Research Approach
23.1.1 Research Programs/Design
23.1.2 Market Size Estimation
23.1.3 Market Breakdown and Data Triangulation
23.2 Data Source
23.2.1 Secondary Sources
23.2.2 Primary Sources
23.3 Disclaimer