Press Release

Algorithmic Trading Market to Boom as the Need for Efficiency & Profitability in Financial Markets Rises

The Global Algorithmic Trading Market is set to record around 8.42% CAGR during 2023-28, mainly on the back of the rising demand for market surveillance, the mounting need for quick, reliable, & efficient order execution, declining transaction costs, and the surging adoption of technologies like AI, ML, & big data by financial institutions. Moreover,  increased data availability, the surging application of algorithms across asset classes, particularly cross-asset automation, and technological advancements are also projected to boost the market in the forecast period.

Moreover, the increasing implementation of regulations by governments & authorities toward promoting transparency, risk management, & accountability in algorithmic trading practices, the emergence of quantum computing that can significantly enhance computational capabilities while allowing for more complex trading strategies & improved risk management, as well as the integration of NLP (Natural Language Processing) algorithms, are further expected to bode well for the witness significant growth due to their ability to execute trades within microseconds, taking advantage of fleeting market opportunities, further states the research report, “Global Algorithmic Trading Market Analysis, 2023.”

Institutional Investors to Contribute Massively to the Market Growth

Institutional investors hold the center stage in the algorithmic trading industry. These entities extensively employ algorithmic trading strategies owing to their potential benefits, such as enhanced execution efficiency, reduced transaction costs, and improved portfolio management. Moreover, as algorithmic trading enables them to execute large trades efficiently & seamlessly, these entities, with substantial capital & trading volumes, use AI & ML-based algorithms to provide liquidity to the markets. Hence, the ever-increasing adoption of such strategies by institutional investors to efficiently execute large trades, manage portfolios, and optimize their investment processes is driving the algorithmic trading market.

North America Holds a Dominance Position in the Market 

North America, particularly the United States, has the most advanced technological infrastructure, well-established financial markets, and a strong presence of market participants & technology providers. Major financial hubs for algorithmic trading activities, like New York & Chicago, hold a significant portion of global trading volumes. The regulatory environment in North America also immensely supports algorithmic trading by ensuring 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. Hence, in view of these aspects, North America is set to continue its dominance in the Algorithmic Trading Market globally over the forecast period.

Competitive Landscape:

With strategic initiatives, such as mergers, collaborations, and acquisitions, the leading market players, including 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., and IG Group, are looking forward to strengthening their market position.

Key Questions Answered in the Research Report:

1. What are the industry’s overall statistics or estimates (Overview, Size- By Value, Forecast Numbers, Segmentation, Shares)?
2. What are the trends influencing the current scenario of the Global Algorithmic Trading Market?
3. What key factors would propel and impede the industry across the region?
4. How has the industry been evolving in terms of geography & product adoption?
5. How has the competition been shaping across various countries?
6. How have the buying behavior, customer inclination, and expectations from the leading companies operating in the Global Algorithmic Trading Market during 2018-28?
7. Who are the key competitors, and what strategic partnerships or ventures are they coming up with to stay afloat during the projected time frame?