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What Is the Forecast for the Algorithmic Trading Market from 2024 to 2025?

The size of the algorithmic trading market has experienced swift expansion in the past few years. The projected growth is from $19.95 billion in 2024 up to $22.03 billion in 2025, with a compound annual growth rate (CAGR) of 10.4%. Factors such as significant growth in emerging markets, a surge in demand for quick, dependable and efficient order execution, a rise in government regulation, digitalization growth, as well as an upsurge in demand for computing gadgets such as PCs and laptops, contributed to the growth during the historic period.

What Is the Projected Market Size of the Algorithmic Trading Market?

Expectations are high for the algorithmic trading market as it’s set for sizable expansion over the coming years. Forecasts predict its value will surge to $38.4 billion by 2029, boasting a compound annual growth rate (CAGR) of 14.9%. This progress throughout the predicted period can be ascribed to elements such as governmental backing, worldwide populace expansion and urban growth, a rise in Internet usage and greater implementation of algorithmic trading within financial bodies. Foreseen trends within this period encompass the utilisation of artificial intelligence (AI) to exploit digitally-driven channel data, a concentration on cooperation and acquisitions to enhance financial robustness, product array and territorial reach, along with emphasis on incorporating novel technologies and creating cutting-edge solutions to consolidate market standing.

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Who are the Major Competitors in the Algorithmic Trading Market Outlook?

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

What Is Fueling Growth in the Algorithmic Trading Market?

The progress in the algorithmic trading market is anticipated to be fueled by the growing ubiquity of the Internet. Increased Internet access allows consumers to use online platforms to gain insights and information on online trading, which heavily relies on the Internet. Consequently, more Internet usage will foster the market’s expansion. DataReportal, a web reference library based in Singapore, cited, for instance, that 5.16 billion people globally were using the Internet at the beginning of 2023, equating to around 64.4% of the global population. Moreover, in July 2022, Livemint, an Indian finance daily newspaper, reported there were about 692 million active Internet users in India, comprised of 351 million rural and 341 million urban users. The paper projected the number of Internet users in India to reach 900 million by 2025. The heightening prevalence of Internet usage is thus expected to accelerate the advancement of the algorithmic trading market.

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Which Algorithmic Trading Market Segments Are Growing the Fastest?

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)

Which Industry Trends Are Shaping the Future of the Algorithmic Trading Market?

Key companies engaged in the algorithmic trading market are putting a strong emphasis on the innovation of products like AI-based tools with the aim of improving trade analysis and refining trading strategies for better decision-making and overall performance. An AI-based tool refers to a software program that uses artificial intelligence technologies such as machine learning and natural language processing to evaluate data and automate the process of making decisions. For example, Octa, an international broker based in Malaysia that offers online trading services, debuted OctaVision in October 2024. This is an AI-based tool incorporated into their trading platform with the aim of improving trade analysis and offering uniquely tailored advice for traders. This cutting-edge solution employs sophisticated AI algorithms to review trading sessions, enhancing users’ ability to make sound decisions and ultimately leading to exceptional trading performance.

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Which Countries Are Leading 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.

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This Report Delivers Insight On:

1. How big is the algorithmic trading market, and how is it changing globally?

2. Who are the major companies in the algorithmic trading market, and how are they performing?

3. What are the key opportunities and risks in the algorithmic trading market right now?

4. Which products or customer segments are growing the most in the algorithmic trading market?

5. What factors are helping or slowing down the growth of the algorithmic trading market?

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