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Algorithmic Trading Market

Algorithmic Trading Market Size by Deployment Mode (Cloud and On-Premises), Components [Services (Managed Services and Professional Services) and Solutions (Software and Platforms)], Trading Types (Stock Markets, Exchange Traded Funds, Foreign Exchange, Cryptocurrencies, Bonds, and Others), End-users (Short-Term Traders, Long-Term Traders, Retail Investors and Institutional Investors), Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2023 to 2032

Base Year: 2022 Historical Data: 2019-21
  • Report ID: TBI-13476
  • Published Date: May, 2023
  • Pages: 237
  • Category: Information Technology & Semiconductors
  • Format: PDF
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The global algorithmic trading market was valued at USD 12.92 billion in 2022 and grew at a CAGR of 11.02% from 2023 to 2032. The market is expected to reach USD 36.75 billion by 2032. The growth of algorithmic trading can be attributed to the rise in different traders across regions. Traders can track their portfolios and monitor market activities using algorithmic trading.

Market Introduction:

The technique of employing computers designed to follow a specific set of instructions for placing a trade to earn profits at a pace and frequency impractical for a human trader is known as algorithmic trading. Any algorithmic trading strategy must find a profitable opportunity to increase earnings or decrease costs. The algorithmic trading techniques are based on price, timing, mathematical model, and quantity and adhere to predetermined rules. In the world of online trading, algorithms are becoming more and more popular, and many large clients use these technologies. These mathematical algorithms examine each quote and trade made on the stock market, look for possibilities for liquidity, and use the data to make wise trading decisions. Investment managers can take charge of their trading procedures due to algorithmic trading, also known as computer-directed trading, which lowers transaction costs.

Algorithmic Trading Market Size

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Recent Development
  • In October 2022, a market player, Scotiabank, launched a platform for algorithmic trading. The platform is based on BestEx Research and designed for the Canadian equity market. 
  • In July 2021, a significant player, Rain Technologies, launched automated algorithmic trading and financing models. It helps the customers to determine the marketplace and required quant models.

Market Dynamics:

Drivers

Benefits of algorithmic trading: Large investors and dealers can handle their trading in a massive number of transactions owing to the use of algorithmic trading. Executing buying and selling orders at precise times in the stock market uses computerized programming or formulae. It is used to carry out a sizable number of commands without the assistance of people. Algorithmic trading aims to execute several deals to make significant, fast profits from the cryptocurrency, stock, and forex markets. The primary advantage of algorithmic trading is the speed with which trading can be done. The orders are carried out in a fraction of a second, which is impossible for a human to do, and at such speed and accuracy, the trade can be carried out at the correct price. Algorithmic trading enables the use of various indicators and the execution of orders that are impossible for a human to perform. Additionally, traders have more possibilities to trade when analysis and execution are faster.

Restraints:

High cost of setting infrastructure: If the customer plans to execute several trade orders each day, algorithmic trading is cost-effective in the long run. However, the infrastructure for algorithmic trading is expensive to put up initially. Algorithmic traders want to have the quickest computers possible to execute trades quickly. The cost of such computers and the required hardware is high, restraining the market's growth.

Opportunities:

Rising adoption of digitalizing among traders: Digitalization is a boom in a marketplace where companies seek increased innovation in the purchasing and delivery of shares to reduce costs while still looking for the ability to provide efficiency to their shareholders and stakeholders in a timely manner fashion. Many digitalization solutions in the share and commodity trading market aim to provide a single online destination combining innovative technology with comprehensive real-time analytics, insights, news, statements and transactional features, including straight-through processing of common investor maintenance transactions. In addition to this, companies are adopting the automation approach to transition the daily data. The automated process ensures a seamless experience for the company and investors. Thus, rising digitization in the equity market will give vendors more opportunities over the forecast period.

Regional segmentation analysis:

The regions analyzed for the market include North America, Europe, South America, Asia Pacific, the Middle East, and Africa. North America emerged as the largest market for the global algorithmic trading market, with a 31.08% market revenue share in 2022.

North American region will account for the largest market share with revenue growth. Nations such as U.S. and Canada have a tremendous demand for algorithmic trading among different end-users, which will expand the market enormously. The end-users are investing in algorithmic trading to gain more capital quickly. The rise in government investment is further fuelling the market growth.

Asia Pacific Region Algorithmic Trading Market Share in 2022 - 31.08%

 

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Deployment Mode Segment Analysis

The deployment mode segment is divided into cloud and on-premises. The cloud segment dominated the market, with a share of around 63.20% in 2022. Cloud-based algorithmic trading is popular among end-users such as retail and institutional investors. Cloud-based model is beneficial in many ways, including their low cost, broad accessibility and high scalability.

Component Segment Analysis

The component segment is divided into services and solutions. The services segment is further categorized into managed services and professional services. The solutions segment further consists of software and platforms. The solutions segment dominated the market, with a share of around 65.06% in 2022. The algorithmic trading solution offers a large pool of features and an efficient platform for traders. The tools and platforms help in formulating trading strategies and help in efficiently managing the portfolio.

Trading Type Segment Analysis

The trading type segment is divided into stock markets, exchange-traded funds, foreign exchange, cryptocurrencies, bonds, and others. The exchange-traded fund's segment dominated the market, with a share of around 32.97% in 2022. Exchange-traded funds are pooled investments that work similarly to mutual funds. These funds usually follow an index, particular sector and commodity. Anything from the price of a single commodity to a sizable and varied group of securities can be tracked by an ETF.

End-users Segment Analysis

The end-users segment is divided into short-term traders, long-term traders, retail investors and institutional investors. The institutional investor segment dominated the market, with a share of around 46.86% in 2022. Institutional investors typically have teams working independently, studying every facet of the markets they trade in. Compared to regular investors, these entities have high levels of trustworthiness and solvency.

Some of the Key Market Players:
  • 63 Moons Technologies Limited
  • Argo Software Engineering
  • AlgoTrader
  • InfoReach, Inc.
  • MetaQuotes Ltd.
  • Kuberre Systems, Inc.
  • Refinitiv
  • Tata Consultancy Services Limited
  • Symphony
  • Thomson Reuters
  • VIRTU Finance Inc.
  • Quant Core Capital Management
  • trade
  • Vela

Report Description:

Attribute Description
Market Size Revenue (USD Billion)
Market size value in 2022 USD 12.92 Billion
Market size value in 2032 USD 36.75 Billion
CAGR (2023 to 2032) 11.02%
Historical data 2019-2021
Base Year 2022
Forecast 2023-2032
Regional Segments The regions analyzed for the market are Asia Pacific, Europe, South America, North America, and Middle East & Africa. Furthermore, the regions are further analyzed at the country level.
Segments Deployment, Component, Trading Types and End-users

Frequesntly Asked Questions

As per The Brainy Insights, the size of the algorithmic trading market was valued USD 12.92 Billion in 2022 to USD 36.75 Billion by 2032.

Global algorithmic trading market is growing at a CAGR of 11.02% during the forecast period 2023-2032.

North America region emerged as the largest market for the algorithmic trading.

The market's growth will be influenced by the growing demand for effective and fast execution of trading orders.

The lack of accuracy could hamper the market growth.

The increasing imposition of artificial intelligence and algorithms is providing huge opportunities to the market.

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  • Segmentation on the basis of any specific country or region
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1. Introduction
    1.1. Objectives of the Study
    1.2. Market Definition
    1.3. Research Scope
    1.4. Currency
    1.5. Key Target Audience

2. Research Methodology and Assumptions

3. Executive Summary

4. Premium Insights
    4.1. Porter’s Five Forces Analysis
    4.2. Value Chain Analysis
    4.3. Top Investment Pockets
          4.3.1. Market Attractiveness Analysis by Deployment Mode
          4.3.2. Market Attractiveness Analysis by Component
          4.3.3. Market Attractiveness Analysis by Trading Type
          4.3.4. Market Attractiveness Analysis by End-users
          4.3.5. Market Attractiveness Analysis by Region
    4.4. Industry Trends

5. Market Dynamics
    5.1. Market Evaluation
    5.2. Drivers
          5.2.1. Increasing use of algorithmic trading among various end-user
    5.3. Restraints
          5.3.1. High cost of installation
    5.4. Opportunities
          5.4.1. Increasing investment in AI and ML industry
    5.5. Challenges
          5.5.1. Stringent regulations

6. Global Algorithmic Trading Market Analysis and Forecast, By Deployment Mode
    6.1. Segment Overview
    6.2. Cloud
    6.3. On-Premises

7. Global Algorithmic Trading Market Analysis and Forecast, By Component
    7.1. Segment Overview
    7.2. Services
          7.2.1. Managed Services
          7.2.2. Professional Service
    7.3. Solutions
          7.3.1. Software
          7.3.2. Platform

8. Global Algorithmic Trading Market Analysis and Forecast, By Trading Type
    8.1. Segment Overview
    8.2. Stock Markets
    8.3. Exchange Traded Funds
    8.4. Foreign Exchange
    8.5. Cryptocurrencies
    8.6. Bonds
    8.7. Others

9. Global Algorithmic Trading Market Analysis and Forecast, By End-users
    9.1. Segment Overview
    9.2. Short-Term Traders
    9.3. Long-Term Traders
    9.4. Retail Investors
    9.5. Institutional Investors

10. Global Algorithmic Trading Market Analysis and Forecast, By Regional Analysis
    10.1. Segment Overview
    10.2. North America
          10.2.1. U.S.
          10.2.2. Canada
          10.2.3. Mexico
    10.3. Europe
          10.3.1. Germany
          10.3.2. France
          10.3.3. U.K.
          10.3.4. Italy
          10.3.5. Spain
    10.4. Asia-Pacific
          10.4.1. Japan
          10.4.2. China
          10.4.3. India
    10.5. South America
          10.5.1. Brazil
    10.6. Middle East and Africa
          10.6.1. UAE
          10.6.2. South Africa

11. Global Algorithmic Trading Market-Competitive Landscape
    11.1. Overview
    11.2. Market Share of Key Players in the Algorithmic Trading Market
          11.2.1. Global Company Market Share
          11.2.2. North America Company Market Share
          11.2.3. Europe Company Market Share
          11.2.4. APAC Company Market Share
    11.3. Competitive Situations and Trends
          11.3.1. Product Launches and Developments
          11.3.2. Partnerships, Collaborations, and Agreements
          11.3.3. Mergers & Acquisitions
          11.3.4. Expansions

12. Company Profiles
    12.1. 63 Moons Technologies Limited
          12.1.1. Business Overview
          12.1.2. Company Snapshot
          12.1.3. Company Market Share Analysis
          12.1.4. Company Product Portfolio
          12.1.5. Recent Developments
          12.1.6. SWOT Analysis
    12.2. Argo Software Engineering
          12.2.1. Business Overview
          12.2.2. Company Snapshot
          12.2.3. Company Market Share Analysis
          12.2.4. Company Product Portfolio
          12.2.5. Recent Developments
          12.2.6. SWOT Analysis
    12.3. AlgoTrader
          12.3.1. Business Overview
          12.3.2. Company Snapshot
          12.3.3. Company Market Share Analysis
          12.3.4. Company Product Portfolio
          12.3.5. Recent Developments
          12.3.6. SWOT Analysis
    12.4. InfoReach, Inc.
          12.4.1. Business Overview
          12.4.2. Company Snapshot
          12.4.3. Company Market Share Analysis
          12.4.4. Company Product Portfolio
          12.4.5. Recent Developments
          12.4.6. SWOT Analysis
    12.5. MetaQuotes Ltd.
          12.5.1. Business Overview
          12.5.2. Company Snapshot
          12.5.3. Company Market Share Analysis
          12.5.4. Company Product Portfolio
          12.5.5. Recent Developments
          12.5.6. SWOT Analysis
    12.6. Kuberre Systems, Inc.
          12.6.1. Business Overview
          12.6.2. Company Snapshot
          12.6.3. Company Market Share Analysis
          12.6.4. Company Product Portfolio
          12.6.5. Recent Developments
          12.6.6. SWOT Analysis
    12.7. Refinitiv
          12.7.1. Business Overview
          12.7.2. Company Snapshot
          12.7.3. Company Market Share Analysis
          12.7.4. Company Product Portfolio
          12.7.5. Recent Developments
          12.7.6. SWOT Analysis
    12.8. Tata Consultancy Services Limited
          12.8.1. Business Overview
          12.8.2. Company Snapshot
          12.8.3. Company Market Share Analysis
          12.8.4. Company Product Portfolio
          12.8.5. Recent Developments
          12.8.6. SWOT Analysis
    12.9. Symphony
          12.9.1. Business Overview
          12.9.2. Company Snapshot
          12.9.3. Company Market Share Analysis
          12.9.4. Company Product Portfolio
          12.9.5. Recent Developments
          12.9.6. SWOT Analysis
    12.10. Thomson Reuters
          12.10.1. Business Overview
          12.10.2. Company Snapshot
          12.10.3. Company Market Share Analysis
          12.10.4. Company Product Portfolio
          12.10.5. Recent Developments
          12.10.6. SWOT Analysis
    12.11. VIRTU Finance Inc.
          12.11.1. Business Overview
          12.11.2. Company Snapshot
          12.11.3. Company Market Share Analysis
          12.11.4. Company Product Portfolio
          12.11.5. Recent Developments
          12.11.6. SWOT Analysis
    12.12. Quant Core Capital Management
          12.12.1. Business Overview
          12.12.2. Company Snapshot
          12.12.3. Company Market Share Analysis
          12.12.4. Company Product Portfolio
          12.12.5. Recent Developments
          12.12.6. SWOT Analysis
    12.13. uTrade
          12.13.1. Business Overview
          12.13.2. Company Snapshot
          12.13.3. Company Market Share Analysis
          12.13.4. Company Product Portfolio
          12.13.5. Recent Developments
          12.13.6. SWOT Analysis
    12.14. Vela
          12.14.1. Business Overview
          12.14.2. Company Snapshot
          12.14.3. Company Market Share Analysis
          12.14.4. Company Product Portfolio
          12.14.5. Recent Developments
          12.14.6. SWOT Analysis
 

List of Table

1. Global Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

2. Global Cloud, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

3. Global On-Premises, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

4. Global Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

5. Global Services, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

6. Global Solution, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

7. Global Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

8. Global Stock Markets, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

9. Global Exchange Traded Funds, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

10. Global Foreign Exchange, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

11. Global Cryptocurrencies, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

12. Global Bonds, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

13. Global Others, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

14. Global Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

15. Global Short-Term Traders, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

16. Global Long-Term Traders, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

17. Global Retail Investors, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

18. Global Institutional Investors, Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

19. Global Algorithmic Trading Market, By Region, 2019-2032 (USD Billion) 

20. North America Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

21. North America Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

22. North America Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion)

23. North America Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

24. U.S. Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

25. U.S. Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

26. U.S. Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

27. U.S. Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

28. Canada Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

29. Canada Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

30. Canada Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

31. Canada Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

32. Mexico Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

33. Mexico Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

34. Mexico Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

35. Mexico Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

36. Europe Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

37. Europe Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

38. Europe Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion)

39. Europe Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

40. Germany Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

41. Germany Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

42. Germany Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

43. Germany Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

44. France Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

45. France Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

46. France Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

47. France Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

48. U.K. Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

49. U.K. Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

50. U.K. Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

51. U.K. Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

52. Italy Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

53. Italy Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

54. Italy Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

55. Italy Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

56. Spain Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

57. Spain Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

58. Spain Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

59. Spain Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

60. Asia Pacific Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

61. Asia Pacific Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

62. Asia Pacific Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

63. Asia Pacific Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

64. Japan Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

65. Japan Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

66. Japan Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion)

67. Japan Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

68. China Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

69. China Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

70. China Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

71. China Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

72. India Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

73. India Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

74. India Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

75. India Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

76. South America Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

77. South America Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

78. South America Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

79. South America Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

80. Brazil Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

81. Brazil Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

82. Brazil Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

83. BrazilAlgorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

84. Middle East and Africa Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

85. Middle East and Africa Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

86. Middle East and Africa Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

87. Middle East and Africa Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

88. UAE Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

89. UAE Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

90. UAE Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

91. UAE Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion) 

92. South Africa Algorithmic Trading Market, By Deployment Mode, 2019-2032 (USD Billion) 

93. South Africa Algorithmic Trading Market, By Component, 2019-2032 (USD Billion) 

94. South Africa Algorithmic Trading Market, By Trading Type, 2019-2032 (USD Billion) 

95. South Africa Algorithmic Trading Market, By End-user, 2019-2032 (USD Billion)  

List of Figures

1. Global Algorithmic Trading Market Segmentation

2. Algorithmic Trading Market: Research Methodology

3. Market Size Estimation Methodology: Bottom-Up Approach

4. Market Size Estimation Methodology: Top-Down Approach

5. Data Triangulation

6. Porter’s Five Forces Analysis 

7. Value Chain Analysis 

8. Global Algorithmic Trading Market Attractiveness Analysis by Deployment Mode

9. Global Algorithmic Trading Market Attractiveness Analysis by Component

10. Global Algorithmic Trading Market Attractiveness Analysis by Trading Type

11. Global Algorithmic Trading Market Attractiveness Analysis by End-user

12. Global Algorithmic Trading Market Attractiveness Analysis by Region

13. Global Algorithmic Trading Market: Dynamics

14. Global Algorithmic Trading Market Share by Deployment Mode (2022 & 2032)

15. Global Algorithmic Trading Market Share by Component (2022 & 2032)

16. Global Algorithmic Trading Market Share by Trading Type (2022 & 2032)

17. Global Algorithmic Trading Market Share by End-user (2022 & 2032)

18. Global Algorithmic Trading Market Share by Regions (2022 & 2032)

19. Global Algorithmic Trading Market Share by Company (2022)

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. The Brainy Insights has segmented the global algorithmic trading market based on below mentioned segments:

Global Algorithmic Trading Market by Deployment Mode:

  • Cloud
  • On-Premises

Global Algorithmic Trading Market by Components:

  • Services
    • Managed Services
    • Professional Services
  • Solutions
    • Software
    • Platforms

Global Algorithmic Trading Market by Trading Types:

  • Stock Markets
  • Exchange Traded Funds
  • Foreign Exchange
  • Cryptocurrencies
  • Bonds
  • Others

Global Algorithmic Trading Market by End-users:

  • Short-Term Traders
  • Long-Term Traders
  • Retail Investors
  • Institutional Investors

Global Algorithmic Trading Market by Region:

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
  • Asia-Pacific
    • Japan
    • China
    • India
  • South America
    • Brazil
  • Middle East and Africa  
    • UAE
    • South Africa

Methodology

Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision. 

Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.

The Brainy Insights offers comprehensive research and analysis, based on a wide assortment of factual insights gained through interviews with CXOs and global experts and secondary data from reliable sources. Our analysts and industry specialist assume vital roles in building up statistical tools and analysis models, which are used to analyse the data and arrive at accurate insights with exceedingly informative research discoveries. The data provided by our organization have proven precious to a diverse range of companies, facilitating them to address issues such as determining which products/services are the most appealing, whether or not customers use the product in the manner anticipated, the purchasing intentions of the market and many others.

Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:

MARKET RESEARCH PROCESS

Data Procurement:

The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.

The data procurement stage involves in data gathering and collecting through various data sources.

This stage involves in extensive research. These data sources includes:

Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:

  • The organizational databases such as D&B Hoovers, and Bloomberg that helps us to identify the competitive scenario of the key market players/organizations along with the financial information.
  • Industry/Market databases such as Statista, and Factiva provides market/industry insights and deduce certain formulations. 
  • We also have contractual agreements with various reputed data providers and third party vendors who provide information which are not limited to:
    • Import & Export Data
    • Business Trade Information
    • Usage rates of a particular product/service on certain demographics mainly focusing on the unmet prerequisites

Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.

Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.

The supply side for a domain specific market is analysed by:

  • Estimating and projecting penetration rates through analysing product attributes, availability of internal and external substitutes, followed by pricing analysis of the product.
  • Experiential assessment of year-on-year sales of the product by conducting interviews.

The demand side for the market is estimated through:

  • Evaluating the penetration level and usage rates of the product.
  • Referring to the historical data to determine the growth rate and evaluate the industry trends

In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.

Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:

  • Applying demographic along with psychographic segmentation for market evaluation
  • Determining the Micro and Macro-economic indicators for each region 
  • Examining the industry indicators prevailing in the market. 

Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:

  • Data Screening: Data screening is the process of scrutinising data/information collected from primary research for errors and amending those collected data before data integration method. The screening involves in examining raw data, identifying errors and dealing with missing data. The purpose of the data screening is to ensure data is correctly entered or not. The Brainy Insights employs objective and systematic data screening grades involving repeated cycles of quality checks, screening and suspect analysis.
  • Data Integration: Integrating multiple data streams is necessary to produce research studies that provide in-depth picture to the clients. These data streams come from multiple research studies and our in house database. After screening of the data, our analysts conduct creative integration of data sets, optimizing connections between integrated surveys and syndicated data sources. There are mainly 2 research approaches that we follow in order to integrate our data; top down approach and bottom up approach.

Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.

This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.

Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.

The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:

  • CXOs and VPs of leading companies’ specific to sector
  • Purchasing managers, technical personnel, end-users
  • Key opinion leaders such as investment bankers, and industry consultants

Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.

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