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Algorithmic Trading Market to Reach USD 28.44 Billion by 2030, Driven by AI-Based Execution and Expanding User Adoption

12-16-2025 12:22 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: ABNewswire

Algorithmic Trading Market

Algorithmic Trading Market

Mordor Intelligence has published a new report on the Algorithmic Trading Market, offering a comprehensive analysis of trends, growth drivers, and future projections.
Global Algorithmic Trading Market Outlook

The algorithmic trading market [https://www.mordorintelligence.com/industry-reports/algorithmic-trading-market?utm_source=abnewswire] continues to gain attention as firms seek faster, more reliable, and more consistent trading methods. According to the Mordor Intelligence report, the market is valued at USD 18.73 billion in 2025 and is projected to reach USD 28.44 billion by 2030, supported by growing usage of automated execution strategies across equities, futures, currency trading, and digital-asset venues. This shift is encouraged by advanced models that help traders respond to dynamic conditions in real time. The landscape is expanding as institutional, retail, and diversified trading desks explore structured automation to improve accuracy and reduce manual effort.

Key Trends Driving the Algorithmic Trading Market

Sub-Millisecond Execution Demand

A major trend shaping the algorithmic trading market is the demand for highly responsive systems capable of handling strategies in extremely short timeframes. Trading desks seek consistent performance across venues, improving the chances of capturing fast-moving opportunities. Firms also explore the use of dedicated routing frameworks and specialized hardware to streamline processing.

Growth of Passive and Index-Driven Strategies

The rise of passive investment portfolios increases the need for strategies that handle large rebalancing orders systematically. Traders look for execution flows that maintain benchmark alignment while managing market influence.

Integration of Crypto-Asset APIs into Trading Workflows

Another emerging development is the blending of digital-asset liquidity pools with traditional execution workflows. API-enabled access to crypto venues provides additional data sources and allows trading firms to apply rules-based methods across both established and alternative markets.

Transparency Requirements from Global Regulators

Regulators across major financial centres encourage improved audit trails, clearer execution logic, and structured reporting. This motivates trading desks to adopt transparent, tracked processes that offer clear explanations of decision paths. Automated execution becomes an effective way to meet these expectations, reducing operational pressure associated with manual order handling.

Check out more details and stay updated with the latest industry trends, including the Japanese version for localized insights: https://www.mordorintelligence.com/ja/industry-reports/algorithmic-trading-market?utm_source=abnewswire

Market Segmentation in the Algorithmic Trading Market

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Segmentation by Types of Traders: Institutional investors, Retail investors, Long-term traders, Short-term traders

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Segmentation by Component: Solutions, Services

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Segmentation by Deployment: Cloud, On-premises

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Segmentation by Organization Size: Small and Medium Enterprises, Large Enterprises

Explore Our Full Library of Technology, Media and Telecom Research Industry Reports - https://www.mordorintelligence.com/market-analysis/technology-media-and-telecom?utm_source=abnewswire

Key Players in the Algorithmic Trading Market

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Thomson Reuters

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Jump Trading LLC

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Refinitiv Ltd

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63 Moons Technologies Ltd

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Virtu Financial Inc.

Conclusion

The algorithmic trading market is placed for steady progress as traders rely more on automation for consistency, transparency, and improved workflow management. Firms adopt rule-based strategies to reduce manual burden and keep up with different market conditions. With structured processes becoming essential to maintaining compliance and handling large volumes efficiently, automated execution has moved from a specialised niche to a widely accessible tool.

For more insights on the algorithmic trading market, please visit the Mordor Intelligence Page: https://www.mordorintelligence.com/industry-reports/algorithmic-trading-market?utm_source=abnewswire

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Get more insights: https://www.mordorintelligence.com/industry-reports/data-analytics-market?utm_source=abnewswire [https://www.mordorintelligence.com/industry-reports/ rel=]

About Mordor Intelligence:

Mordor Intelligence is a trusted partner for businesses seeking comprehensive and actionable market intelligence. Our global reach, expert team, and tailored solutions empower organizations and individuals to make informed decisions, navigate complex markets, and achieve their strategic goals.

With a team of over 550 domain experts and on-ground specialists spanning 150+ countries, Mordor Intelligence possesses a unique understanding of the global business landscape. This expertise translates into comprehensive syndicated and custom research reports covering a wide spectrum of industries, including aerospace & defense, agriculture, animal nutrition and wellness, automation, automotive, chemicals & materials, consumer goods & services, electronics, energy & power, financial services, food & beverages, healthcare, hospitality & tourism, information & communications technology, investment opportunities, and logistics.

For any inquiries or to access the full report, please contact:

media@mordorintelligence.comhttps://www.mordorintelligence.com/

Media Contact
Company Name: Mordor Intelligence Private Limited
Contact Person: Jignesh Thakkar
Email:Send Email [https://www.abnewswire.com/email_contact_us.php?pr=algorithmic-trading-market-to-reach-usd-2844-billion-by-2030-driven-by-aibased-execution-and-expanding-user-adoption]
Phone: +1 617-765-2493
Address:11th Floor, Rajapushpa Summit, Nanakramguda Rd, Financial District, Gachibowli
City: Hyderabad
State: Telangana 500008
Country: India
Website: https://www.mordorintelligence.com/

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