April 24, 2024
Ict

Algorithmic Trading Market is Anticipated to Witness High Growth Owing to Rising Digitization

Algorithmic trading or algo trading refers to the use of advanced mathematical models and computer algorithms to analyse market data and execute orders in financial markets at high speeds. Algorithmic trading helps in automating the process of trading securities by enabling computers to assimilate and assess market data in real-time and make decisions on when to buy or sell a particular security. The advantages of algorithmic trading include higher execution speeds, lower transaction costs, enhanced liquidity and market efficiency. With growing digitization and the development of advanced predictive analytics capabilities, algorithmic trading helps traders make rational, unbiased trading decisions without human emotions.

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.

Growing investment in financial technology and the digitization of trading platforms continue to drive the adoption of algorithmic trading strategies across brokerages and trading firms. Algorithmic trading provides an edge over traditional methods by executing trades in a much faster and efficient manner.

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. These players are investing heavily in developing innovative trading algorithms utilizing technologies such as machine learning and natural language processing.

Key opportunities in the market include developing cross-asset algorithmic trading capabilities and providing advanced model validation and calibration services. There is significant scope for algorithmic trading in new asset classes such as cryptocurrencies.

Globally, the adoption of algorithmic trading is expected to increase across major financial hubs. North America currently dominates the market due to high investments in quant trading. However, Asia Pacific is expected to witness fastest growth supported by rapid digitalization of stock exchanges in China and India. European markets are also increasingly integrating algorithmic strategies.

Market Drivers
Growing digitization of the financial sector has increased the generation of huge volumes of market data. Advanced analytics of this Big Data enables the development of sophisticated algorithmic models to gain trading insights. This acts as a key driver for the algorithmic trading market.

Market Restraints
High degree of complexity involved in developing and testing trading algorithms is a major challenge. Even minor errors or bugs can potentially result in substantial losses. Moreover, regulatory concerns around risks of automated trading need to be addressed to gain wider adoption.

Segment Analysis
Algorithmic trading market can be segmented on the basis of component, trading type, programming languages, areas of trading and end users. The component segment can be further divided into software, hardware and services. The software dominates the component segment with advancements in algorithmic trading systems and tools. Under trading types, algorithmic forex trading holds a major share owing to dynamic forex markets and abundance of currencies. Development of new programming languages like Python also assists forex algo traders. Among areas of trading, equities hold a significant share due to accelerated adoption of algo trading by individual and institutional investors

Global Analysis
North America and Europe dominates the global algorithmic trading market with maximum adoption by large financial institutions, hedge funds and investment banks. Developed financial markets in the US and European countries along with high capital investment support market growth. However, Asia Pacific is anticipated to witness highest growth rate during the forecast period. Emerging financial markets, economic development in Asia Pacific countries, growing investments from developed nations and local government initiatives will fuel market expansion in the region. Furthermore, increasing middle class population with high disposable income also positively influence the regional market.

*Note:

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