Algorithmic Trading Market Size, Share & Demand

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Market Research Reports

By Type (Stock Market, Foreign Exchange, Exchange-Traded Fund, Bonds, Cryptocurrencies, Others), By Type of Trader (Institutional Investors, Retail Investors, Long-term Traders, Sh...ort-term Traders), By Deployment (On Premise, Cloud), By Component (Solutions, Services), By Region (North America, South America, Europe, Middle East & Africa, Asia-Pacific), By Competitors (Tradetron, Tickblaze LLC, Wyden, TradeStation, InfoReach, Inc., Symphony, ALGOTRADERS, Argo Software Engineering, FXCM Group, Tata Consultancy Services Limited, Moons Technologies Limited, Virtu Financial Inc., MetaQuotes Software Corp., IG Group) Read more

ICT & Electronics
Jul 2023
Pages 192
Report Code IT55075

Market Definition

Algorithmic trading involves the use of computer algorithms to execute trading orders in financial markets through the automation of trading processes, from order generation and routing to trade execution, without major human intervention, and it depends on pre-defined rules & instructions encoded in algorithms to make trading decisions.

Market Insights & Analysis: Global Algorithmic Trading Market (2023-28)

The Global Algorithmic Trading Market is anticipated to grow at a CAGR of around 8.42% during the forecast period, i.e., 2023-28. The growth of the market would be propelled mainly by the mounting need for quick, reliable, & efficient order execution, ever-increasing demand for market surveillance, and declining transaction costs. Besides, the surging adoption of technologies like AI, ML, & big data by financial institutions, coupled with the growing application of algorithms across asset classes, particularly cross-asset automation, are other prominent aspects anticipated to boost the market in the future.

In algorithmic trading, the ability to execute trades with minimal latency is of ultimate importance. Market participants invest in high-speed infrastructure & connectivity to reduce the time for trading an order to reach the market. Low latency is particularly vital for strategies that depend on capturing small price differentials or taking the benefit of fleeting market opportunities.

Report Coverage	Details
Study Period	Historical Data: 2018-21
	Base Year: 2022
	Forecast Period: 2023-28
CAGR (2023-2028)	8.42%
Regions Covered	North America: US, Canada, Mexico
	Europe: Germany, The UK, France, Spain, Italy, Rest of Europe
	Asia-Pacific: China, India, Japan, South Korea, Australia, Rest of Asia-Pacific
	South America: Brazil, Argentina,Rest of South America
	Middle East & Africa: UAE, Saudi Arabia, South Africa, Rest of MEA
Key Companies Profiled	Tradetron, Tickblaze LLC, Wyden, TradeStation, InfoReach, Inc., Symphony, ALGOTRADERS, Argo Software Engineering, FXCM Group, Tata Consultancy Services Limited, Moons Technologies Limited, Virtu Financial Inc., MetaQuotes Software Corp., IG Group
Unit Denominations	USD Million/Billion

Since the globalization of financial markets has led to increased market fragmentation, with trading occurring across multiple exchanges & venues, algorithmic trading is facilitating market participants to access & trade on multiple platforms simultaneously & efficiently. This, combined with algorithmic trading's speed & efficiency, is thus creating prospects for strategies like arbitrage & statistical arbitrage and, in turn, driving the algorithmic trading industry globally.

Global Algorithmic Trading Market Driver:

Rising Need for Efficiency & Profitability in Financial Markets: Market participants like institutional investors, hedge funds, and proprietary trading firms are driven by the desire for executing trades faster, more accurately, and at optimal prices. Algorithmic trading facilitates the automation of trade execution, the elimination of manual intervention, and the reduction of human error. Since algorithms can analyze substantial amounts of market data, identify patterns, and execute trades at ultra-high speeds, it enables market participants to react swiftly to market conditions.

Hence, the surging need for efficiency & speed to capture opportunities like price discrepancies, arbitrage, or momentum before they vanish and reduce transaction costs while enhancing overall trading performance is projected to drive the Global Algorithmic Trading Market during 2023-28.

Global Algorithmic Trading Market Growth Restraint:

Lack of Consistency & Accuracy in Algorithms: In algorithmic trading, the performance and profitability of trading strategies significantly rely on the accuracy & consistency of algorithms. If algorithms produce inconsistent or inaccurate results, it can result in suboptimal trading decisions and reduced profitability. Traders depend on algorithms to execute trades based on predefined rules as well as market conditions. Inconsistencies or inaccuracies in algorithms can lead to missed opportunities, erroneous trades, or excessive losses, which, in turn, could undermine confidence in algorithmic trading strategies. Hence, the lack of consistency & accuracy in algorithms can affect the fledged growth of the Global Algorithmic Trading Market in the forecast years.

Global Algorithmic Trading Market (2023-28): Segmentation Analysis

The Global Algorithmic Trading Market study from MarkNtel Advisors analyzes the major trends in each sub-segment and includes predictions for the period 2023–28 at the global, regional, and national levels. The market has been segmented in our analysis based on grade & application.

Based on Type:

Stock Market
Foreign Exchange
Exchange-Traded Fund
Bonds
Cryptocurrencies
Others (Commodities, Derivatives, etc.)

Of them all, stock markets hold a notable share of the Global Algorithmic Trading Market as they are considered among the leading asset classes for trading various kinds of securities in a secured, managed, & controlled environment. Algorithmic trading in the stock market involves the utilization of computer algorithms to execute trades based on predefined rules or strategies, which has been prevalent for many years and is adopted widely by institutional investors, hedge funds, & proprietary trading firms. These entities often use sophisticated algorithms for analyzing massive amounts of market data, identifying trading opportunities, and executing trades with high speed & precision.

Moreover, stock markets offer benefits like profit maximization & risk management to financial and brokerage firms, which facilitate traders & investors to adopt algorithmic trading solutions. Furthermore, the high liquidity & trading volumes in major stock exchanges worldwide is another prominent aspect driving the algorithmic trading market.

Based on Type of Trader:

Institutional Investors
Retail Investors
Long-term Traders
Short-term Traders

Here, institutional investors, such as pension funds, mutual funds, and hedge funds, are the most prominent players in the algorithmic trading market, as these entities extensively employ algorithmic trading strategies to efficiently execute large trades, manage portfolios, and optimize their investment processes. Besides, they also recognize the potential benefits of algorithmic trading, such as improved execution efficiency, reduced transaction costs, and enhanced portfolio management. With substantial capital & trading volumes, institutional investors provide liquidity to the markets as algorithmic trading enables them to execute large trades efficiently & seamlessly.

Moreover, the need for customized algorithmic trading solutions tailored to specific investment strategies & objectives of institutional traders is another aspect driving the market, as this demand is leading to notable innovations among technology providers and, consequently, the development of sophisticated algorithms & trading systems.

Global Algorithmic Trading Market Regional Projection

North America
South America
Europe
Middle East & Africa
Asia-Pacific

Of all regions globally, North America, particularly the US, holds a dominant position in the Algorithmic Trading Market, which owes to the region's advanced technological infrastructure, well-established financial markets, and a strong presence of market participants & technology providers. Major financial centers like New York & Chicago are hubs for algorithmic trading activities and hold a prominent portion of global trading volumes. In addition, the regulatory environment in North America has also been supportive of algorithmic trading, which ensures market integrity & investor protection.

Regulatory organizations like CFTC (Commodity Futures Trading Commission) and SEC (Securities and Exchange Commission) have established frameworks & guidelines to control algorithmic trading activities, i.e., fostering transparency & fairness in the market. Moreover, the early adoption of electronic trading platforms and the advent of HFT (High-frequency Trading) strategies are also setting the stage for the global expansion of algorithmic trading across North America, thereby driving the regional market.

Global Algorithmic Trading Industry Recent Developments:

On 24 May 2023, Fernhill Corp., a Web3 Cloud Based Infrastructure platform focused on providing APIs for digital asset trading, NFT marketplaces & data aggregation solutions, announced that MainBloq Cloud had launched as a newly rearchitected version of its platform that can connect users with over 50 digital asset exchanges & DeFi venues.
On 30 March 2023, Finnova, a leading provider of banking software in Switzerland, and Wyden, a leading worldwide provider of institutional trading technology for digital assets, announced joining hands to enable banks to process digital asset trades & settlements via ecosystem partners.
On 10 January 2023, Multi Commodity Exchange of India Limited (MCX) launched an online platform for arbitration & appellate arbitration, i.e., integrated with its existing web-based IGRS (Investor Grievance Redressal System). This platform intends to help investors & exchange members file their arbitration & appellate arbitration complaints online and track the status of their redressal.

Gain a Competitive Edge with Our Global Algorithmic Trading Market Report

Global Algorithmic Trading Market report provides a detailed and thorough analysis of market size, growth rate, competitive landscape, and key players. This comprehensive analysis helps businesses gain a holistic understanding of the market dynamics and make informed decisions.
This report also highlights current market trends and future projections, allowing businesses to identify emerging opportunities and potential challenges. By understanding market forecasts, companies can align their strategies and stay ahead of the competition.
Global Algorithmic Trading Market report aids in assessing and mitigating risks associated with entering or operating in the market.
The report would help in understanding market dynamics, regulatory frameworks, and potential challenges, businesses can develop strategies to minimize risks and optimize their operations.

Frequently Asked Questions

A. The Algorithmic Trading Market is forecast to grow at a CAGR of around 8.42% during 2023-28

A. The mounting need for efficiency & profitability in financial markets is the prime aspect expected to drive the Algorithmic Trading Market during 2023-28.

A. Tradetron, Tickblaze LLC, Wyden, TradeStation, InfoReach, Inc., Symphony, AlgoTraders, Argo Software Engineering, FXCM Group, Tata Consultancy Services Limited, Moons Technologies Limited, Virtu Financial Inc., MetaQuotes Software Corp., Fernhill Corp., Finnova, Multi Commodity Exchange of India Limited (MCX), IG Group, others are the key players operating in the Algorithmic Trading Market.

A. The lack of consistency & accuracy in algorithms is the major growth restraint for the Algorithmic Trading Market.

A. Institutional traders would create lucrative prospects for the leading participants in the Algorithmic Trading Market through 2028.

A. North America would continue providing profitable opportunities to the Algorithmic Trading Market over the forecast years.

Global Algorithmic Trading Market Research Report (2023-2028) - Table of Contents

Market Segmentation
Introduction
1. Product Definition
2. Research Process
3. Assumptions
Executive Summary
Global Algorithmic Trading Market Start-up Ecosystem
1. Entrepreneurial Activity
2. Year-on-Year Funding Received
3. Funding Received by Top Companies
4. Key Investors Active in the Market
5. Series Wise Funding Received
  1. Seed Funding
  2. Angel Investing
  3. Venture Capitalist (VC) Funding
  4. Others
Global Algorithmic Trading Market Trends & Insights
Global Algorithmic Trading Market Dynamics
1. Growth Drivers
2. Challenges
Global Algorithmic Trading Market Policies, Regulations & Product Standards
Global Algorithmic Trading Market Hotspot & Opportunities
Global Algorithmic Trading Market Value Chain Analysis
Global Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues
2. Market Share & Analysis
  1. By Type
    1. Stock Market- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. Foreign Exchange- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    3. Exchange-Traded Fund- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    4. Bonds- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    5. Cryptocurrencies- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    6. Others (Commodities, Derivatives, etc.,) - Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders
    1. Institutional Investors- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. Retail Investors- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    3. Long-term Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    4. Short-term Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components
    1. Solutions- Market Size & Forecast 2018-2028F, Revenues (USD Million)
      1. Platforms- Market Size & Forecast 2018-2028F, Revenues (USD Million)
      2. Software Tools - Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. Services- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment
    1. On-cloud- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. On-premises- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Region
    1. North America
    2. South America
    3. Europe
    4. Asia-Pacific
    5. Middle East and Africa
  6. By Company
    1. Competition Characteristics
    2. Market Share & Analysis
North America Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Country
    1. The US
    2. Canada
    3. Mexico
3. The US Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
4. Canada Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
5. Mexico Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
South America Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Country
    1. Brazil
    2. Argentina
    3. Rest of South America
3. Brazil Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
4. Argentina Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
Europe Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Country
    1. Germany
    2. The UK
    3. France
    4. Italy
    5. Spain
    6. Rest of Europe
3. Germany Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
4. The UK Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
5. France Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
6. Italy Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
7. Spain Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
Middle East and Africa Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Country
    1. The UAE
    2. Saudi Arabia
    3. South Africa
    4. Rest of Middle East and Africa
3. The UAE Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
4. Saudi Arabia Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
5. South Africa Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
Asia-Pacific Algorithmic Trading Market Outlook, 2018-2028F
1. Market Size & Analysis
  1. By Revenues (USD Million)
2. Market Share & Analysis
  1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  3. By Components- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  4. By Deployment- Market Size & Forecast 2018-2028F, Revenues (USD Million)
  5. By Country
    1. China
    2. Japan
    3. Australia
    4. India
    5. South Korea
    6. Rest of Asia Pacific
3. China Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
4. Japan Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
5. Australia Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
6. India Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
7. South Korea Algorithmic Trading Market Outlook, 2018-2028F
  1. Market Size & Analysis
    1. By Revenues (USD Million)
  2. Market Share & Analysis
    1. By Type- Market Size & Forecast 2018-2028F, Revenues (USD Million)
    2. By Types of Traders- Market Size & Forecast 2018-2028F, Revenues (USD Million)
Competitive Outlook
1. Company Profiles
  1. Tradetron (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  2. Tickblaze LLC (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  3. Wyden (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  4. TradeStation (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  5. InfoReach, Inc. (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  6. Symphony (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  7. ALGOTRADERS (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  8. Argo Software Engineering (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  9. FXCM Group (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  10. Tata Consultancy Services Limited (U.S.)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  11. 63 Moons Technologies Limited
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  12. Virtu Financial Inc.
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  13. MetaQuotes Software Corp.
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  14. IG Group
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  15. Fernhill Corp.
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  16. Finnova
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  17. Multi Commodity Exchange of India Limited (MCX)
    1. Business Description
    2. Product Portfolio
    3. Strategic Alliances or Partnerships
    4. Recent Developments
    5. Financial Details
    6. Others
  18. Others
2. Disclaimer

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Algorithmic Trading Market Size, Share & Demand | 8.42% CAGR Till 2028 (2024)

FAQs

How big is the algorithmic trading market? ›

The global algorithmic trading market size is projected to grow from USD 2.19 billion in 2023 to USD 3.56 billion by 2030, exhibiting a CAGR of 7.2% during the forecast period. North America dominated the global market with a share of 43.34% in 2022.

Tell Me More ›

Is algorithmic trading growing? ›

The global algorithmic trading market size is poised for significant growth, with a valuation of USD 2.03 Billion in 2022 and projected to reach USD 3.56 Billion by 2030, growing at a CAGR of 7.2% during the forecast period 2023 to 2030.

Learn More ›

What percent of stock trades are algorithmic? ›

In India, the percentage of traders who use algorithms for trading ranges from 50 to 55 per cent. But in other markets, the percentage of algo-trading is around 80–85% of trade. In the United States, Europe, and other Asian markets, the percentage ranges from 60 to 70% of the total trading volume.

Show Me More ›

How effective is algorithmic trading? ›

No doubt, algorithmic trading can offer several different advantages, such as speed, efficiency, and objectivity in trading decisions. It can automate entry and exit points, reduce the risk of human error, and prevent information leakage.

See Details ›

What is the CAGR of algorithmic trading? ›

The Algorithm Trading Market was valued at USD 14.4 billion in 2022, and it is expected to grow at a compound annual growth rate of 11.9 percent during the forecast period, reaching USD 44.4 billion by the end of 2032.

Get More Info ›

Who is the most successful algo trader? ›

He built mathematical models to beat the market. He is none other than Jim Simons. Even back in the 1980's when computers were not much popular, he was able to develop his own algorithms that can make tremendous returns. From 1988 to till date, not even a single year Renaissance Tech generated negative returns.

Know More ›

What is the demand for algo trading? ›

The global Algorithmic Trading market size was valued at USD 12963.35 million in 2022 and is expected to expand at a CAGR of 13.29% during the forecast period, reaching USD 27405.2 million by 2028.

Find Out More ›

What is the future of algorithmic trading? ›

Still, cost-effectiveness and better execution were the key features of algorithms that brought algo-trading to every investor's desk, including retail/individual investors. Today, in India, approximately 55% of the trades are placed via algorithmic trading, and it is expected to grow by another 15% in the near future.

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Why does algo trading fail? ›

Over-optimization, also referred to as curve-fitting, is when a trading system is excessively tuned to conform precisely to historical data. The algorithm is optimized to such an extent that it performs exceptionally well on the past data but fails to perform similarly on new, unseen data.

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What is the annual income of algorithmic trading? ›

Algorithmic Trading Analyst salary in India ranges between ₹ 2.0 Lakhs to ₹ 45.0 Lakhs with an average annual salary of ₹ 19.0 Lakhs.

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How much of the stock market is run by algorithms? ›

Algorithmic trading involves pre-programmed trading strategies. Traders load servers with specific instructions, and algorithms monitor markets for trade setups. Algorithmic trading accounts for about 60-75% of trading in the U.S., Europe, and major Asian markets.

Is algo trading really profitable? ›

Algo trading is not only profitable, but it also increases your odds of becoming a profitable trader., Algo trading is ideal for someone who wants to trade with their full-time job. While they can develop trading strategies in their extra time and which are executed by the system when they are at their job.

Market	Algorithmic Trading Market
Algorithmic Trading Market Size 2021	USD 14.1 Billion
Algorithmic Trading Market Forecast 2030	USD 41.9 Billion
Algorithmic Trading Market CAGR During 2022 - 2030	12.9%

Algorithmic Trading Market Size, Share & Demand | 8.42% CAGR Till 2028 (2024)