According to the latest report from Market.us, the expansion of generative artificial intelligence in the trading market is impressive. The market size is expected to soar from US$245.3 million in 2024 to US$2.358.7 billion in 2034, with an average annual growth rate of up to 25.4%. This significant increase is mainly due to the widespread use of AI-driven trading strategies and advanced analytics technologies that are revolutionizing the way financial markets operate.
In 2024, North America dominated the application of generative artificial intelligence in the trading market with a market share of 47.6%, generating revenue of US$116.7 million. Hedge funds, algorithmic trading companies and financial institutions in this region widely use AI technology for predictive analysis and automated trading, driving rapid growth 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 rise worldwide.
The report also 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, enterprises are more inclined to choose local deployment in 2024 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, helping investors effectively balance risks and returns, thus standing out in a highly competitive market.
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. The application of this technology not only improves transaction efficiency, but also enhances the decision-making ability of market participants.
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 advancement of natural language processing and machine learning algorithms, which has significantly improved the ability to predict market trends.
Key points:
It is estimated that by 2034, the market value of generative artificial intelligence in the trading market will reach US$2.3587 billion, with an average annual growth rate of 25.4%.
North America accounted for 47.6% of the market in 2024, and the financial data generation dominated the market.
Generative artificial intelligence improves transaction efficiency and helps financial institutions better manage portfolios and risks.