Artificial Intelligence (AI) is the largest segment driving the growth of Algorithmic Trading Market.


The global Algorithmic Trading Market is estimated to be valued at US$ 2.18 Bn in 2023 and is expected to exhibit a CAGR of 7.2% over the forecast period 2023 to 2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview

Algorithmic trading automates the process of selecting, generating and placing orders on exchanges using artificial intelligence based models that remove human emotion from the decision making process. It helps in reducing trading costs, and generating consistent risk-adjusted returns over time.

Market key trends:

One of the key trends fuelling the growth of algorithmic trading market is the increasing adoption of advanced analytics like machine learning and artificial intelligence in trading applications. Financial institutions and other market participants are leveraging AI enabled algorithms to analyze complex trading and financial data at massive speeds to identify trading opportunities and enhance trading strategies. For example, application of deep learning models to analyze trading strategies and predict risks and returns is helping traders make better investment decisions and improve portfolio performance. This rising integration of advanced technologies in algorithmic trading applications is expected to drive substantial growth of this market during the forecast period.

SWOT Analysis

Strength: Algorithmic trading allows for high-frequency, automated trading strategies with minimal human intervention. This improves efficiency and risk management.
Weakness: Algorithmic trading systems are complex and difficult to develop. They also rely heavily on historical data which may not predict future market trends accurately.
Opportunity: Growing digitization in the financial sector is increasing demand for algorithmic trading solutions. Moreover, the increase in trading volumes provides an opportunity to process more orders.
Threats: stringent regulations around algorithmic trading and increased scrutiny of automated decisions pose significant challenges. Hackers targeting trading platforms and algorithms is also a major threat.

Key Takeaways

The global algorithmic trading market is expected to witness high growth, exhibiting CAGR of 7.2% over the forecast period, due to increasing demand for advanced trading solutions that can optimize complex market parameters.

Regional analysis

North America dominated the global market and accounted for around 35% of the overall shares in 2023 owing to substantial adoption among financial institutions. Asia Pacific is expected to exhibit the fastest growth over the forecast period supported by growing FinTech adoption and presence of emerging players in countries such as India and China.

Key players operating in the algorithmic trading market are 63 Moons Technologies Limited, MetaQuotes Software Corp., Algo Trader AG, Refinitiv Ltd, and Virtu Financial Inc. The market is highly competitive with organized players adopting strategies such as partnerships, mergers, and acquisitions to gain market share. For instance, in 2022, MetaQuotes Software Corp. partnered with Anthropic to integrate artificial intelligence capabilities into its trading platforms.
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it