Press release
Global Algorithmic Trading Market Share to Reach $38.4 Billion by 2029, Growing at 14.9% CAGR
Algorithmic Trading Market Share
The expansion of the Internet is projected to fuel the growth of the algorithmic trading market. As Internet penetration increases, consumers can access online platforms to learn and understand online trading. Since online trading is largely reliant on the Internet, any increase in its reach will significantly contribute to market expansion. As per DataReportal, a Singapore-based digital repository, as of the beginning of 2023, the number of Internet users worldwide stood at 5.16 billion, making up about 64.4% of the entire global population. Moreover, Livemint, a financial newspaper from India, reported in July 2022 that there were approximately 692 million active Internet users in India, of which 351 million were in rural areas and 341 million in urban regions. They forecasted that by 2025, India will have about 900 million Internet users. Consequently, the continual growth in Internet usage will spur on the development of the algorithmic trading market.
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How will the growth rate of the algorithmic trading market shape industry trends by 2034?
The market size of algorithmic trading has seen a sharp increase in recent years. The value, which stands at $19.95 billion in 2024, is projected to rise to $22.03 billion in 2025, reflecting a compound annual growth rate (CAGR) of 10.4%. Factors contributing to this historic growth pattern include the robust growth of emerging markets, a higher need for quick, dependable, and efficient order execution, heightened government regulations, the surge in digitalization, and a growing demand for computing devices like personal computers and laptops.
The market size of algorithmic trading is predicted to experience a significant expansion in the coming years, growing to $38.4 billion by 2029 with a Compound Annual Growth Rate (CAGR) of 14.9%. This anticipated growth during the projected period can be credited to factors such as government backing, the expansion of the global population and urbanization, greater internet access, and the escalated use of algorithmic trading by financial institutions. Prevailing tendencies during this forecast period will involve the exploitation of artificial intelligence (AI) to make the most of data derived from digital channels, emphasis on partnerships and acquisitions to bolster financial resilience, product range, and geographical footprint, and attention to novel technologies and the creation of superior tech solutions to reinforce their market standing.
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What trends are poised to drive the future success of the algorithmic trading market?
Principal firms in the algorithmic trading market are concentrating on product innovations, specifically AI-based tools, to increase trade analysis efficiency and refine trading strategies. This leads to optimized decision-making and performance. AI-based tools are software applications that employ artificial intelligence technologies like machine learning and natural language processing to sift through data and automate making decisions. As an example, Octa, an international broker based in Malaysia that offers online trading services, introduced OctaVision in October 2024. This tool, an AI software incorporated into its trading platform, is crafted to amplify trade analysis and deliver personalized recommendations to traders. It uses high-level AI algorithms to scrutinize trading sessions thereby assisting users in honing their decision-making capabilities and ultimately enhancing their overall trading performance.
Which primary segments of the algorithmic trading market are driving growth and industry transformations?
The algorithmic trading market covered in this report is segmented -
1) By Type: Foreign Exchange (FOREX), Stock Markets, Exchange-Traded Fund (ETF), Bonds, Other Types
2) By Component: Solution, Services
3) By Function: Programming, Debugging, Data Extraction, Back-Testing And Optimization, Risk Management
4) By Type Of Traders: Institutional Investors, Retail Investor, Long-Term Trading , Short-Term Traders
Subsegments:
1) By Foreign Exchange (FOREX): Spot Trading, Futures Trading, Options Trading
2) By Stock Markets: Equity Trading, Derivative Trading, Short Selling
3) By Exchange-Traded Fund (ETF): Equity ETFs, Commodity ETFs, Bond ETFs
4) By Bonds: Government Bonds, Corporate Bonds, Municipal Bonds
5) By Other Types: Cryptocurrencies, Commodity Markets, Real Estate Investment Trusts (REITs)
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Which geographical regions are pioneering growth in the algorithmic trading market?
North America was the largest region in the algorithmic trading market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the algorithmic trading market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the influential players reshaping the algorithmic trading market landscape?
Major companies operating in the algorithmic trading market include Virtu Financial Inc, IG Group Holdings Plc, FXCM Group, London Stock Exchange Group Plc, Trade Station, Software AG, Wyden (Algo Trader AG), Symphony Fintech Solutions Pvt Ltd, MetaQuotes Software Corp, 63 Moons Technologies Limited, iRage Capital, AlphaGrep, Kivi Capital, Mansukh Securities, Algoji, Tickeron, Inc, 1000pip Climber Robot, Build Alpha, Coinrule, Trality, Barclays, DTI Algorithmic, BitOasis, MidChains, HAYVN, XTX Markets, ActiveViam, Redline Trading Solutions, Inc, J.P. Morgan, Capital Group, Goldman Sachs, Zen Trading Strategies, SmarttBot, Banco Bradesco S.A, Itau Unibanco, Interactive Brokers, AVAtrade, eTORO, Arabeya Online, Plus500, XTB, Saxo Bank, City Index
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What Is Covered In The Algorithmic Trading Global Market Report?
•Market Size Forecast: Examine the algorithmic trading market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the algorithmic trading market for a structured understanding.
•Key Players Overview: Analyze major players in the algorithmic trading market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the algorithmic trading market.
•Segment Contributions: Evaluate how different segments drive overall growth in the algorithmic trading market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the algorithmic trading market.
•Industry Challenges: Identify potential risks and obstacles affecting the algorithmic trading market.
•Competitive Landscape: Review strategic developments in the algorithmic trading market, including expansions, agreements, and new product launches.
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