Algorithmic trading is rapidly reshaping global capital markets, transitioning from an institutional niche to a widespread force. Automated trading strategies now account for over half the volumes on major exchanges, with increasing accessibility for individual investors and financial professionals. This evolution, however, highlights a critical need for enhanced understanding, robust education, and clear regulatory frameworks to ensure market efficiency and investor protection.
The momentum driving this shift is significant and quantifiable. The global algorithmic trading market was valued at an estimated USD 21.06 billion in 2024 and is projected to surge to USD 42.99 billion by 2030, reflecting a substantial 12.9% Compound Annual Growth Rate (CAGR) from 2025 to 2030. This impressive growth, according to Grand View Research, is largely propelled by the increasing integration of Machine Learning (ML) and Artificial Intelligence (AI) technologies into algorithmic trading solutions.
As the market expands and technology advances, regulatory bodies globally are responding with clearer guidelines. Recent frameworks, such as those introduced by India’s capital market regulator (SEBI) effective August 1, 2025, signal a universal commitment to formalizing algorithmic trading, particularly for retail participants. These initiatives aim to improve compliance and foster responsible adoption, thereby creating a more robust and secure ecosystem for automated strategies worldwide.
“The advent of cloud infrastructure, coupled with the rise of AI, is generating immense interest in algorithmic trading,” observes Nitesh Khandelwal, Co-founder and Director of QuantInsti. “While the evolving regulatory landscape aims to build a strong foundation for the adoption of technology and quantitative methods, there remains a critical need to bridge education gaps and provide access to the right tools and platforms for both professionals and new entrants.“
The increasing sophistication of financial technology, coupled with market growth, means that continuous skill development is no longer optional for market participants. Mastering the development, testing, and compliant deployment of algorithmic strategies is fast becoming an essential competency in modern finance.
In direct response to this growing industry demand, organizations are stepping up to provide critical educational resources. For instance, QuantInsti is hosting a complimentary online session, “Build Your Quant Portfolio: First Steps into Algorithmic Trading,” on Tuesday, June 24, 2025, at 8:30 AM EST (5:30 AM PST / 6:00 PM IST). This webinar will feature expert perspectives from seasoned practitioners including Jay Parmar (Quantitative Researcher, iRage), Mrinall Mahajan (Vice President at a leading global asset management firm), Tomás V. García-Purriños (Senior Asset Allocation Strategist at a prominent global bank’s asset management division), and Rohan Mathews (Global Business Head, QuantInsti).
The session aims to offer practical insights into developing data-driven trading strategies, understanding the role of machine learning in financial models, and navigating real-world career transitions within quantitative finance. This initiative reflects a broader industry movement to democratize access to advanced financial knowledge and cultivate a skilled workforce capable of navigating the complexities of automated markets.
As algorithmic trading continues to reshape how capital markets operate, driven by significant market expansion and technological innovation, the emphasis on comprehensive education and adherence to evolving regulatory guidelines will be paramount for sustained growth and long-term industry stability.
About QuantInsti:
QuantInsti is a pioneering global algorithmic trading research and education institute. It focuses on empowering financial professionals and aspiring quants worldwide through educational programs and technology solutions, aiming to contribute to the global financial markets’ growth and inclusion.
Media Contact:
Akil Tinwala
Assistant Vice President
akil@quantinsti.com
www.quantinsti.com
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