Press Release Description

Increasing Inclination of Financial Institutions toward AI to Drive North America AI in Stock Trading Market through 2027

According to MarkNtel Advisors, the North America Artificial Intelligence (AI) in Stock Trading Market is projected to grow at a considerable CAGR during the forecast period, i.e., 2022-27. It owes to the increasing use of AI in stock trading by multiple companies through Robo-advisors, and other platforms, allowing users to monitor trade data pointers and make quick & efficient trade executions.

Besides, the increasing use of Chatbots in AI-based applications to interact with customers, assisting them with market estimations, trader data notifications, account reports, and generic FAQs in real-time.

Moreover, the market is also observing significant investments by several companies, focusing on the research & development initiatives to bring innovative solutions integrated with AI, thereby strengthening their position in the market with greater customer reach, further states the research report, “North America Artificial Intelligence (AI) in Stock Trading Market Analysis, 2022.”

Banks & Financial Institutions to Attain the Largest Market Share through 2027

The burgeoning adoption of Artificial Intelligence (AI) across various Banks & Financial Institutions is principally due to its benefits like the identification of fraudulent transactions, automation of processes, and personalized customer service, facilitated by massive data available & affordable computing capacity. Besides, AI-based solutions help banks & financial firms attain enhanced efficiency through reduced operating costs and improved overall productivity. As a result, they offer their customers more reliable investment strategies using real-time data insights and improve the financial inclusions of those with limited credit history by analyzing their creditworthiness. Hence, the demand for AI in stock trading across banks & financial institutions is projected to continue increasing significantly in the coming years.

Canada Artificial Intelligence (AI) in Stock Trading Market to Rapidly Emerge during 2022-27

The rapidly growing trend of AI-based trading solutions in Canada is significantly driving the country's stock market. Recently, the Royal Bank of Canada, in collaboration with its research center Borealis AI, launched an AI-based electronic trading platform called Aiden, currently available to the bank's stock market customers trading in the Canadian & US equities. The platform uses Deep Reinforcement Learning to learn from its previous actions and adjust to volatile stock market conditions and execute trades based on real-time stock data, further states the research report, "North America Artificial Intelligence (AI) in Stock Trading Market Analysis, 2022."

Key Market Competitors

According to MarkNtel Advisors, the leading players in the North America Artificial Intelligence (AI) in Stock Trading Market are 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., and Looking Glass Investments LLC.

Key Questions Answered in the Study

  1. What are the current & future trends in the North America Artificial Intelligence (AI) in Stock Trading Market?
  2. How has the industry been evolving in terms of geography & service adoption?
  3. How has the competition been shaping across North America, followed by their comparative factorial indexing?
  4. What are the key growth drivers & challenges for North America Artificial Intelligence (AI) in Stock Trading Market?
  5. What are the customer orientation, purchase behavior, and expectations from the providers of Artificial Intelligence (AI)-based platforms for stock trading across North America?

Market Segmentation:

  1. By Component (Platforms & Services)
  2. By Purpose (Data Processing & Trading Pattern, Speed Trading, Regulation & Compliances, Risk Assessment, Market Insights & Forecasts, Trade Recommendations, and Semantic Intelligence)
  3. By Enterprise Structure (Small & Medium Enterprise and Large Enterprise)
  4. By End-Users (Banks & Financial Institutions, Trade House & Brokerages, Fintech, and  Individuals)
  5. By Trade Channel (Equity & Commodity)
  6. By Countries (US, Canada, and Mexico)
  7. By Competitors (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., and Looking Glass Investments LLC)