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Market Definition
Artificial Intelligence (AI) is a comprehensive simulation of human intelligence in machines with extensive application in different verticals. Its integration with stock trading platforms, in the form of Robo-advisors, is already trending.
Market Insights
The North America Artificial Intelligence (AI) in Stock Trading Market is projected to grow at a CAGR of more than 50% during the forecast period, i.e., 2023-28. AI & other data-science technologies have simplified the stock trading workflow by enabling easy & real-time identification of complex trading patterns across varied markets. Besides, they have also reduced communication complexity and enhanced business processes & customer care interactions. Hence, the coming years will likely be highly optimistic for AI in the stock trading industry. With increasing innovations in AI & machine learning, payment processors, banks, and other financial organizations are now able to detect fraud & make informed decisions. In addition, the capability of AI to gather & classify unbiased information, recognize stock patterns, and effectively perform stock analysis is expected to propel the industry in the coming years.
| Report Coverage | Details |
|---|---|
| Study Period | Historical Data: 2018-21 |
| Base Year: 2022 | |
| Forecast Period: 2023-28 | |
| CAGR (2023-2028) | 50% |
| Country Covered | The US, Canada, Mexico |
| Key Companies Profiled | Trading Technologies International Inc., Kavout, Auquan, GreenKey Technologies LLC, IBM Corporation, TrendSpider LLC, BlackBoxStocks, Inc, Imperative Execution Inc., Techtrader, Trade Ideas LLC, Imperative Execution Inc., Looking Glass Investments LLC |
| Unit Denominations | USD Million/Billion |
Further, incorporating AI-based Chatbots into online trading platforms provides users with various services like frequently asked questions, faster access to real-time market estimates, account reports, notifications about active traders, etc. These Chatbots help users monitor loads of trading data pointers and execute transactions at preferred prices. They also enable human analysts to study the market accurately and assist trading companies in efficiently alleviating risks to offer higher returns. Backed by such features, the integration of Artificial intelligence in Stock Trading platforms has become frequent in recent years, compelling service providers to expand their portfolios in the coming years. Besides, the surging requirements for customized trading solutions from credit unions, government banks, etc., alongside rapid integration of the mobile application with trading platforms, are other crucial factors expected to drive the demand for AI in stock trading over the forecast years.
Moreover, with prominent companies like GreenKey Technologies & Auquan actively participating in the industry developments, the Artificial Intelligence (AI) Stock Trading Market in North America is projected to attain considerable growth through 2028. The AI in Stock Trading platform of GreenKey Technologies uses speech recognition & natural language processing technology for a quicker search through conversions, notes, and financial data. Numerous financial experts are using this AI-based platform to filter through insights, trending companies, and other real-time stock market information, encouraging industry enlargement. On the other hand, the Auquan platform for AI in stock trading enables analysts from different backgrounds to generate algorithms & trading strategies and solve investment challenges. Consequently, investors can make an informed decision and enjoy the benefits without hiring high-cost in-house expertise.
