Generative AI trading market is expected to reach US$2.36 billion in 2034

Generative AI is experiencing rapid expansion in the trading market, according to the latest report from Market.us. The market size is expected to grow from US$245.3 million in 2024 to US$2.358.7 billion in 2034, with an average annual growth rate of 25.4%. This growth is mainly benefited from the popularity of AI-driven trading strategies and advanced analytical technologies.

In 2024, North America dominated the market with a market share of 47.6%, generating revenue of US$116.7 million. Hedge funds, algorithmic trading companies and financial institutions in the region use AI technology to conduct predictive analysis and automated trading, which has led to a significant increase in demand. As financial markets increasingly integrate AI technologies to improve decision-making capabilities and risk management, demand for generative artificial intelligence is expected to continue to surge globally.

The report pointed out that in 2024, the financial data generation field accounted for 61.7% of the market, becoming a market leader. This shows that financial institutions are increasingly relying on AI tools to synthesize financial data, thereby improving the accuracy of predictive models. In addition, in terms of deployment methods, in 2024, enterprises are more inclined to choose local deployment to ensure data security and compliance.

In terms of application, significant achievements have also been made in the field of portfolio optimization in 2024, with a market share of more than 48.5%. The ability of generative artificial intelligence makes portfolio management more scientific and helps investors effectively balance risks and returns.

The rapid growth of the market is also due to the need for efficient data processing capabilities and real-time predictive analytics. Generative AI can analyze imbalances and trends in the market and identify favorable trading opportunities, thus providing competitive advantages for financial institutions and traders.

Despite the continuous advancement of generative artificial intelligence technology, its integration process also faces many challenges, such as data privacy and compliance issues. Market participants need to pay attention to these issues to ensure the effective application of AI in transactions. At the same time, the rapid development of technology has also promoted the progress of natural language processing and machine learning algorithms, which has significantly improved the ability to predict market trends.