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Algorithmic Trading Market by Trading Type (Bonds, Cryptocurrencies, Exchange-Traded Funds), Component (Services, Solutions), Deployment, Organisation Size, End User - Global Forecast 2024-2030

Publisher 360iResearch
Published Jan 15, 2024
Length 193 Pages
SKU # IRE18418186

Description

Algorithmic Trading Market by Trading Type (Bonds, Cryptocurrencies, Exchange-Traded Funds), Component (Services, Solutions), Deployment, Organisation Size, End User - Global Forecast 2024-2030


The Algorithmic Trading Market size was estimated at USD 17.73 billion in 2023 and expected to reach USD 19.69 billion in 2024, at a CAGR 11.29% to reach USD 37.52 billion by 2030.

Algorithmic trading has become a key market focus as traders seek to reduce human bias and errors while increasing quality order executions. In addition, government regulations about algorithmic trading have driven up demand for effective solutions that meet these requirements. The rising usage of algorithmic trading is prone to heightened systemic risk, which needs to be addressed for the growth of the market. The ongoing development of AI/Financial Service algorithms offers potential opportunities along with Cloud-based solutions managing multiple orders and portfolios. However, there are accuracy concerns related to an increased dependency on technology for algorithmic trading, making this sector increasingly challenging and lucrative at the same time.

Regional Insights

Geographically, the algorithmic trading market has been analyzed in Asia-Pacific, the Americas, and Europe, Middle East, and Africa (EMEA) regions. The American region is expected to dominate in the future due to the availability of significant market players, favorable government support, and significant investment in trading technologies. Additionally, European countries, such as Germany, France, Italy, and the United Kingdom, also experience a steady development of the market owing to favorable regulatory infrastructure, deployment of advanced technology, and emerging involvement of traders. Asia-pacific is also projected to experience notable market development in the forecast period with substantial investment from private and public sectors to improve trading technologies.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Algorithmic Trading Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Algorithmic Trading Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Algorithmic Trading Market, highlighting leading vendors and their innovative profiles. These include 63 Moons Technologies Limited, Akuna Capital, AlgoBulls Technologies Private Limited, AlpacaDB, Inc., Argo SE, Ava Trade Markets Ltd., Binatix, Inc., Citadel LLC, CMC Markets Group, Coinigy Inc, CREDIT SUISSE GROUP AG, DRW Holdings, LLC., Fidelity National Information Services, Inc., Fiserv, Inc., Flow Traders Group, FXCM Australia Pty. Limited, Gelber Group, LLC., Geneva Trading, Hudson River Trading, InfoReach, Inc., iRageCapital Advisory Private Limited, Jump Trading LLC, KeyCorp, Liquid Capital Group, London Stock Exchange Group, Maven Securities Ltd, MetaQuotes Ltd., NinjaTrader Group, LLC, Optiver, Oracle Corporation, Pepperstone Markets Limited, Pit Base LLC., Powerweave Heuristic Investment Technologies Pvt Ltd., Quantlab Financial, Questrade Group, RSJ Securities a.s., Scotiabank, SOFTWARE AG, Spotware Systems Ltd., Symphony Fintech Solutions Private Limited, Tata Consultancy Services Limited, Tethys Technology, Thomson Reuters Holdings Inc., Tickeron Inc., Tradebot Systems, TradeStation Group, Inc., TRALITY GmbH, Two Sigma Securities, LLC, Vatic Investments, VIRTU Financial Inc., Wyden AG, and XTX Markets Limited.

Market Segmentation & Coverage

This research report categorizes the Algorithmic Trading Market to forecast the revenues and analyze trends in each of the following sub-markets:

Trading Type

Bonds
  • Cryptocurrencies
  • Exchange-Traded Funds
  • Foreign Exchange
  • Stock Markets
  • Component

    Services

    Managed Services
  • Professional Services
  • Solutions

    Platforms
  • Software Tools
  • Deployment

    Cloud
  • On-Premises
  • Organisation Size

    Large Enterprises
  • Small & Medium-Sized Enterprises
  • End User

    Buy-Side Firms
  • Sell-Side Participants
  • Systematic Traders
  • Region

    Americas

    Argentina
  • Brazil
  • Canada
  • Mexico
  • United States

    California
  • Florida
  • Illinois
  • New York
  • Ohio
  • Pennsylvania
  • Texas
  • Asia-Pacific

    Australia
  • China
  • India
  • Indonesia
  • Japan
  • Malaysia
  • Philippines
  • Singapore
  • South Korea
  • Taiwan
  • Thailand
  • Vietnam
  • Europe, Middle East & Africa

    Denmark
  • Egypt
  • Finland
  • France
  • Germany
  • Israel
  • Italy
  • Netherlands
  • Nigeria
  • Norway
  • Poland
  • Qatar
  • Russia
  • Saudi Arabia
  • South Africa
  • Spain
  • Sweden
  • Switzerland
  • Turkey
  • United Arab Emirates
  • United Kingdom
    The report offers valuable insights on the following aspects:

    1. Market Penetration: It presents comprehensive information on the market provided by key players.
    2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
    3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
    4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
    5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
    The report addresses key questions such as:

    1. What is the market size and forecast of the Algorithmic Trading Market?
    2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Algorithmic Trading Market?
    3. What are the technology trends and regulatory frameworks in the Algorithmic Trading Market?
    4. What is the market share of the leading vendors in the Algorithmic Trading Market?
    5. Which modes and strategic moves are suitable for entering the Algorithmic Trading Market?


    Note: PDF & Excel + Online Access - 1 Year

    • Table of Contents

    193 Pages
    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
    4.1. Introduction
    4.2. Algorithmic Trading Market, by Region
    5. Market Insights
    5.1. Market Dynamics
    5.1.1. Drivers
    5.1.1.1. Rising use of algorithmic trading to reduce human bias and errors
    5.1.1.2. Increasing need for market surveillance and government regulations pertaining to algorithmic trading
    5.1.1.3. Growing demand for fast, reliable, and effective order execution and need to reduce transaction costs
    5.1.2. Restraints
    5.1.2.1. Amplification of systemic risk associated with algorithmic trading
    5.1.3. Opportunities
    5.1.3.1. Ongoing development of artificial intelligence (AI) and financial service algorithms
    5.1.3.2. Increasing adoption of cloud-based solutions to manage multiple orders and portfolios
    5.1.4. Challenges
    5.1.4.1. Accuracy issues and more dependency on technology for algorithmic trading
    5.2. Market Segmentation Analysis
    5.3. Market Trend Analysis
    5.4. Cumulative Impact of High Inflation
    5.5. Porter’s Five Forces Analysis
    5.5.1. Threat of New Entrants
    5.5.2. Threat of Substitutes
    5.5.3. Bargaining Power of Customers
    5.5.4. Bargaining Power of Suppliers
    5.5.5. Industry Rivalry
    5.6. Value Chain & Critical Path Analysis
    5.7. Regulatory Framework
    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 & 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
    14.2. Market Share Analysis, By Key Player
    14.3. Competitive Scenario Analysis, By Key Player
    14.3.1. Merger & Acquisition
    14.3.1.1. Nomura’s Instinet to Acquire FIS Execution Services
    14.3.1.2. Instinet to acquire FIS algo trading business
    14.3.2. Agreement, Collaboration, & Partnership
    14.3.2.1. Digital Realty and Options Technology expand partnership in Asia
    14.3.2.2. Indian Overseas Bank entered into agreement with broking partner M/s SMC Global for opening of 3 in 1 account
    14.3.2.3. Paloma Partners With Pyth Network and AlgoReturns to Deliver First Decentralized, Cross-Chain Systems Trading Blockchain
    14.3.2.4. TradeSmart partners with KEEV, helps traders simplify their trading journey with Algo-trading
    14.3.3. New Product Launch & Enhancement
    14.3.3.1. BTIG Electronic Trading Launches New Innovative Algorithmic Technology
    14.3.3.2. Scotiabank Launches Next-Gen Algorithmic Trading Platform with BestEx Research
    14.3.3.3. CoinShares launches HAL, the algorithmic trading platform for crypto traders
    14.3.3.4. Smallcase, Gulaq partner to launch algorithm-based investment products for retail investors
    14.3.4. Investment & Funding
    14.3.4.1. CoinRoutes Raises USD16 Million Series B to Bring Market Leading Algorithmic Crypto Trading Platform to Institutional Investors
    15. Competitive Portfolio
    15.1. Key Company Profiles
    15.1.1. 63 Moons Technologies Limited
    15.1.2. Akuna Capital
    15.1.3. AlgoBulls Technologies Private Limited
    15.1.4. AlpacaDB, Inc.
    15.1.5. Argo SE
    15.1.6. Ava Trade Markets Ltd.
    15.1.7. Binatix, Inc.
    15.1.8. Citadel LLC
    15.1.9. CMC Markets Group
    15.1.10. Coinigy Inc
    15.1.11. CREDIT SUISSE GROUP AG
    15.1.12. DRW Holdings, LLC.
    15.1.13. Fidelity National Information Services, Inc.
    15.1.14. Fiserv, Inc.
    15.1.15. Flow Traders Group
    15.1.16. FXCM Australia Pty. Limited
    15.1.17. Gelber Group, LLC.
    15.1.18. Geneva Trading
    15.1.19. Hudson River Trading
    15.1.20. InfoReach, Inc.
    15.1.21. iRageCapital Advisory Private Limited
    15.1.22. Jump Trading LLC
    15.1.23. KeyCorp
    15.1.24. Liquid Capital Group
    15.1.25. London Stock Exchange Group
    15.1.26. Maven Securities Ltd
    15.1.27. MetaQuotes Ltd.
    15.1.28. NinjaTrader Group, LLC
    15.1.29. Optiver
    15.1.30. Oracle Corporation
    15.1.31. Pepperstone Markets Limited
    15.1.32. Pit Base LLC.
    15.1.33. Powerweave Heuristic Investment Technologies Pvt Ltd.
    15.1.34. Quantlab Financial
    15.1.35. Questrade Group
    15.1.36. RSJ Securities a.s.
    15.1.37. Scotiabank
    15.1.38. SOFTWARE AG
    15.1.39. Spotware Systems Ltd.
    15.1.40. Symphony Fintech Solutions Private Limited
    15.1.41. Tata Consultancy Services Limited
    15.1.42. Tethys Technology
    15.1.43. Thomson Reuters Holdings Inc.
    15.1.44. Tickeron Inc.
    15.1.45. Tradebot Systems
    15.1.46. TradeStation Group, Inc.
    15.1.47. TRALITY GmbH
    15.1.48. Two Sigma Securities, LLC
    15.1.49. Vatic Investments
    15.1.50. VIRTU Financial Inc.
    15.1.51. Wyden AG
    15.1.52. XTX Markets Limited
    15.2. Key Product Portfolio
    16. Appendix
    16.1. Discussion Guide
    16.2. License & Pricing
    FIGURE 1. ALGORITHMIC TRADING MARKET RESEARCH PROCESS
    FIGURE 2. ALGORITHMIC TRADING MARKET SIZE, 2023 VS 2030
    FIGURE 3. ALGORITHMIC TRADING MARKET SIZE, 2018-2030 (USD MILLION)
    FIGURE 4. ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2023 VS 2030 (%)
    FIGURE 5. ALGORITHMIC TRADING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 6. ALGORITHMIC TRADING MARKET DYNAMICS
    FIGURE 7. ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2023 VS 2030 (%)
    FIGURE 8. ALGORITHMIC TRADING MARKET SIZE, BY TRADING TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 9. ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
    FIGURE 10. ALGORITHMIC TRADING MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 11. ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
    FIGURE 12. ALGORITHMIC TRADING MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 13. ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2023 VS 2030 (%)
    FIGURE 14. ALGORITHMIC TRADING MARKET SIZE, BY ORGANISATION SIZE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 15. ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2023 VS 2030 (%)
    FIGURE 16. ALGORITHMIC TRADING MARKET SIZE, BY END USER, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 17. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 18. AMERICAS ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 19. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
    FIGURE 20. UNITED STATES ALGORITHMIC TRADING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 21. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 22. ASIA-PACIFIC ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
    FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ALGORITHMIC TRADING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
    FIGURE 25. ALGORITHMIC TRADING MARKET, FPNV POSITIONING MATRIX, 2023
    FIGURE 26. ALGORITHMIC TRADING MARKET SHARE, BY KEY PLAYER, 2023

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