May 21, 2024

Algorithmic Trading Market is Estimated to Witness High Growth Owing to Increasing Automation Needs

Algorithmic trading involves the use of computer algorithms to automate and execute trades electronically on stock, futures and options markets. The automated execution of trades reduces human errors and provides faster and more efficient trading opportunities with lower transaction costs. The increasing digitalization across various industries has boosted the need for automated trading systems that can handle huge volumes of transactions in fractions of seconds without any human intervention. Algorithmic trading offers benefits like reduced transaction costs, ability to identify and capture price patterns faster than human traders, and precise execution of orders according to pre-programmed rules and criteria.

The Global algorithmic trading market is estimated to be valued at US$ 21,211.7 mn in 2024 and is expected to exhibit a CAGR of 10% over the forecast period 2024 to 2031.

Key Takeaways
Key players operating in the Algorithmic Trading market are AlgoTrader GmbH, Trading Technologies International, Inc., Tethys Technology, Inc., Tower Research Capital LLC, Lime Brokerage LLC, InfoReach, Inc., FlexTrade Systems, Inc., Hudson River Trading LLC, Citadel LLC, and Virtu Financial. The major players are focusing on developing advanced algorithms and technologies through continuous innovation and strategic partnerships to capitalize new opportunities arising from increasing digitization.

The growing demand for rapid trade executions, predictive analysis of huge volumes of market data, and development of artificial intelligence and machine learning algorithms provide key growth opportunities for players in the algorithmic trading market. Regulatory changes favoring high frequency and algorithmic trading are also encouraging new players to enter the market.

The increasing globalization of financial markets has accelerated the adoption of algorithmic trading across developed as well as emerging economies. North America currently dominates the market due to strong presence of financial institutions and technological advancements. However, Asia Pacific is expected to witness fastest growth owing to rising investments and expanding trading volumes in major countries like China and India.

Market drivers
The increasing automation needs across industries has accelerated the digital transformation of trading processes. Traditional traders are replacing manual trading with algorithmic systems to gain competitive advantage through precision, speed and lower costs. Growing volumes of online transactions generated through digital channels is a key driver boosting demand for algorithmic trading platforms and solutions. Advancements in artificial intelligence, machine learning and big data analytics are further enhancing the capabilities of algorithms to analyze huge datasets and execute trades autonomously. This is expected to drive wider adoption of algorithmic trading systems across various asset classes over the forecast period.

PEST Analysis
Political: Algorithmic trading depends on the government regulations and policies pertaining to the securities market and financial trading activities. Frequent changes in rules and compliance requirements regarding automated trading systems can impact the growth of this market.

Economic: A growing economy with rising capital markets and increasing trading volumes provides a favorable environment for this market. Algorithmic trading helps in cutting down costs and improving efficiencies for market players.

Social: Algorithmic trading systems are complex technologies which require skilled workforce for development and monitoring. Availability of data science and programming talent can influence the adoption of such trading platforms.

Technological: Advancements in areas like artificial intelligence, machine learning, and high-speed computing have enabled the development of sophisticated algorithmic models for predictive analysis of market trends. Expansion of cloud infrastructure further aids the growth of this sector.

Geographical regions where market in terms of value is concentrated: North America is currently the largest market for algorithmic trading, accounting for around 40% of the global value, led by widespread adoption among institutional investors in the US. The presence of prominent financial centers and major vendor companies have cemented North America’s leadership position in this field.

The fastest growing region for this market: Asia Pacific region is projected to experience the highest growth during the forecast period due to increasing capital market trading volumes in countries like China, Japan, and India. Rising affluence, growing importance of algorithm-based trading strategies, and establishing financial hubs will drive the expansion of algorithmic trading market in Asia Pacific.

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  1. Source: Coherent Market Insights, Public sources, Desk research
  2. We have leveraged AI tools to mine information and compile it