North America Artificial Intelligence (AI) in Stock Trading

North America Artificial Intelligence (AI) in Stock Trading Market Research Report : Forecast (2022-2027)

By Component (Platforms & Services), By Purpose (Data Processing & Trading Pattern, Speed Trading, Regulation & Compliances, Risk Assessment, Market Insights & Forecasts, Trade Recommendations, and Se Read more

  • ICT & Electronics
  • Nov 2021
  • 187
  • IT22012

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.

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 are likely to be highly optimistic for AI in the stock trading industry.

Report Coverage Details
Study Period Historical Data: 2017-20
Base Year: 2021
Forecast Period: 2022-27
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., and Looking Glass Investments LLC
Unit Denominations USD Million/Billion

 

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, says MarkNtel Advisors in their research report. The market growth attributes principally to the capability of AI to gather & classify unbiased information, recognize stock patterns, and effectively perform stock analysis. Due to the increasing innovations in AI & machine learning, payment processors, banks, or other financial organizations are now able to detect fraud & make informed decisions accordingly.

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 with high accuracy and assist trading companies in efficiently alleviating risks to offer higher returns.

Besides, the surging requirements for customized trading solutions from credit unions, government banks, etc., coupled with the burgeoning integration of trading platforms on smartphones, are other crucial factors expected to drive the demand for AI in stock trading over the forecast years, further states the research report, “North America Artificial Intelligence (AI) in Stock Trading Market Analysis, 2022.”

Impact of Covid-19 on the North America Artificial Intelligence (AI) in Stock Trading Market

The outbreak of Covid-19 in 2020 severely affected most industries in North America, where the Artificial Intelligence (AI) in Stock Trading Market was no exception. Of all countries, the US observed significant volatility and higher stock market crashes due to the rapid virus spread, low income, and reduced resources, owing to the economic downturn.

Social distancing, movement restrictions, & lockdowns adversely affected the productivity of companies, which resulted in a substantial decrease in their revenue generation, higher operating costs, & lower cash flow challenges, thereby hindering AI investments in the stock market.

However, some data also cites that the adoption of AI in stock trading amongst banks & financial institutions might have surged since most banks believe that the pandemic has made AI & other data-science technologies crucial for the future. AI has provided an incredible approach to financial institutions through its implementation in stock trading to forecast stock prices. Extensive research has made it possible to apply AI & Machine Learning for predicting stock market volatilities & returns.

Moreover, the World Trade Organization is now prophesying global merchandise trade volume to grow 10.8% in 2021, up from the 8.0% forecasted in March, and followed by a 4.7% rise in 2022. Hence, it is likely to positively influence the North American stock market and drive the demand for Artificial Intelligence (AI) in Stock Trading in the coming years.

Banking & Finance to Lead the North America Artificial intelligence (AI) in Stock Trading Market

Based on End-Users, the North America Artificial intelligence (AI) in Stock Trading Market segments into:

  • Banks & Financial Institutions
  • Trade Houses & Brokerages
  • Fintech 
  • Individuals

Banks & Financial Institutions are anticipated to dominate the market with the largest share in the coming years. It owes to the increasing deployment of AI across banking & financial institutions, principally for benefits like better products & services offered to consumers, coupled with improved efficiency of these institutions through cost reduction & overall enhanced productivity.

Due to this, banking & financial institutions are benefitting their customers by providing them with better investment strategies using data insights and improving the financial inclusions of clients with limited credit history by analyzing their creditworthiness.

Moreover, implementing AI across banks & financial institutions helps them identify fraudulent & unusual transactions, automate processes, and personalize customer service, which is another crucial aspect fueling the overall market growth.

Burgeoning Demand for AI-Based Platforms for Stock Trading through 2027

Artificial Intelligence has extensive applications across different verticals. It is anticipated to transform stock trading platforms substantially owing to the rapid innovations. Hence, multiple companies are increasingly deploying AI-based trading platforms through Robo-Advisors to help users observe the trading data pointers & execute at optimal prices while mitigating the risks to get higher returns.

Trade-Ideas is one of the most advanced & stimulated market intelligence platforms for stock trading that allow traders, particularly beginners, to learn the dynamics and invest & navigate the stock market without risking their money. With the integration of AI in Trade-Ideas, traders can find the best trade setups in the market and attain insights & real-time updates for precise decision-making. 

On the other hand, Trend Spider is the most technically comprehensive analysis software that offers a fully customizable automation engine on a charting platform. It researches the data and presents them in actionable & meaningful insights for users to make informed decisions, states MarkNtel Advisors in their research report, North America Artificial Intelligence (AI) in Stock Trading Market Analysis, 2022.”

GreenKey Technologies & Auquan to Remain Active Participants in North America Artificial Intelligence (AI) Stock Trading Market

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 stock market information in real-time.

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.

Country Landscape

The US Continues its Dominance in the North America Artificial Intelligence (AI) in Stock Trading Market through 2027, Canada to Witness Significant Growth

Based on Country, North America Artificial Intelligence (AI) in Stock Trading Market expands across:

  • US
  • Canada
  • Mexico

Of them all, the US is expected to maintain its dominance in the market during the forecast period. It owes prominently to rapid technological advancements and increasing applications of AI-based trading across the country's banks & financial institutions. The US has the largest liquid financial ecosystem and is an early adopter of AI technology. Over 70% of overall trading volume in the US stock market & other developed financial firms is generated through algorithmic trading. Furthermore, massive investments by stock trading firms in integrating AI & Machine Learning (ML) with their existing stock trading platforms are also contributing to the overall market growth in the US.

On the other hand, Canada is anticipated to witness significant market growth during the forecast period. The market growth in Canada attributes to the recent development by the Royal Bank of Canada (RBC) in collaboration with its research center Borealis AI. RBC has introduced an AI-based electronic trading platform, Aiden, for its Capital Market clients that trade in the US & Canadian equities. It is designed to improve order execution by allowing the stock trading algorithm to adjust its own rules with what is happening in the market using AI technology, Deep Reinforcement Learning.

Market Dynamics

Key Drivers

The most prominent factor anticipated to drive North America Artificial Intelligence (AI) in Stock Trading Market is the capability of AI to identify complex stock trading patterns across the market in real-time. The integration of AI in stock trading through machine learning enables high speed & extensive processing power for risk assessment, which shall lead the market to observe the increasing participation of companies in the forecast period. 

Possible Restraints

The most prominent aspect that might hinder the North America Artificial Intelligence (AI) in Stock Trading Market is the inability of vendors to abide by norms of primary regulators entwined with the lack of awareness associated with new solutions & regulations in stock trading. The stock market is regulated extensively by the government, self-regulatory bodies, foreign agencies, and exchanges, making the investors obliged to follow the standards.

Key Questions Answered in the Market Research Report:

  1. What are the overall statistics or estimates (Overview, Size- By Value, Forecast Numbers, Segmentation, Shares) of the North America Artificial Intelligence (AI) in Stock Trading Market?
  2. What are the country-wise industry size, growth drivers, & challenges?
  3. What are the key innovations, opportunities, current & future trends, and regulations in the North America Artificial Intelligence (AI) in Stock Trading Market?
  4. Who are the key competitors, their key strengths & weaknesses, and how do they perform in the North America Artificial Intelligence (AI) in Stock Trading Market based on the competitive benchmarking matrix?
  5. What are the key results derived from surveys conducted during the North America Artificial Intelligence (AI) in Stock Trading Market study?

Frequently Asked Questions

A. Banking & Financial Institutions are projected to dominate the market and provide lucrative growth opportunities to the leading market players during the forecast period.

A. The increasing demand for quick & efficient stock analysis and trade execution at optimal prices is projected to drive the North America Artificial Intelligence in Stock Trading Market during 2022-27.

A. Considering the trend of AI-based Chatbots across banks, trade houses, & other financial institutions that emerged amidst the pandemic, the North America Artificial Intelligence (AI) in Stock Trading Market is expected to witness remunerative growth in the coming years.

  1. Introduction
    1. Market Segmentation
    2. Product Definition
    3. Research Process
    4. Assumptions
  2. Executive Summary
  3. North American Artificial Intelligence (AI) in Stock Trading Market Start-up Ecosystem
    1. Entrepreneurial Activity
    2. Year on Year Funding Received
    3. Funding Received by Top Companies
    4. Key Investors Active in the Market
    5. Series Wise Funding Received
      1. Seed Funding
      2. Angel Investing
      3. Venture Capitalists (VC) Funding
      4. Others
  4. Impact of COVID-19 on the North American Artificial Intelligence (AI) in Stock Trading Market
  5. North American Artificial Intelligence (AI) in Stock Trading Market Policies, Regulations, Product Standards
  6. North American Artificial Intelligence (AI) in Stock Trading Market Trends & Insights
  7. North American Artificial Intelligence (AI) in Stock Trading Market Dynamics
    1. Growth Drivers
    2. Challenges
    3. Impact Analysis
  8. North American Artificial Intelligence (AI) in Stock Trading Market Hotspot & Opportunities
  9. North American Artificial Intelligence (AI) in Stock Trading Market Key Strategic Imperatives for Success & Growth
  10. North America Artificial Intelligence (AI) in Stock Trading Market Analysis, 2017-2027F
    1. Market Size & Analysis
      1. By Revenue
    2. Market Share & Analysis
      1. By Component
        1. Platforms
        2. Services
      2. By Purpose
        1. Data Processing & Trading Pattern
        2. Speed Trading  
        3. Regulation & Compliances
        4. Risk Assessment
        5. Market Insights & Forecasts
        6. Trade Recommendations
        7. Semantic Intelligence
        8. Others
      3. By Enterprise Structure
        1. Small & Medium Enterprise
        2. Large Enterprise
        3. Others
      4. By End-User
        1. Banks & Financial Institutions
        2. Trade House & Brokerages
        3. Fintech 
        4. Individuals
      5. By Trade Channel
        1. Equity
        2. Commodity
      6. By Country
        1. The US
        2. Canada
        3. Mexico
      7. By Company
        1. Competition Characteristics
        2. Market Share & Analysis
        3. Competitive Matrix
  11. The US Artificial Intelligence (AI) in Stock Trading Market Analysis, 2017-2027F
    1. Market Size and Analysis
      1.  By Revenue
    2. Market Share and Analysis
      1. By Component
      2. By Purpose
      3. By Enterprise Structure
      4. By End-User
      5. By Trade Channel
  12. Canada Artificial Intelligence (AI) in Stock Trading Market Analysis, 2017-2027F
    1. Market Size and Analysis
      1. By Revenue
    2. Market Share and Analysis
      1. By Component
      2. By Purpose
      3. By Enterprise Structure
      4. By End-User
      5. By Trade Channel
  13. Mexico Artificial Intelligence (AI) in Stock Trading Market Analysis, 2017-2027F
    1. Market Size and Analysis
      1. By Revenue
    2. Market Share and Analysis
      1. By Component
      2. By Purpose
      3. By Enterprise Structure
      4. By End-User
      5. By Trade Channel
  14. Competitive Outlook
    1. Product Portfolio
    2. Target Markets
    3. Target End Users
    4. Manufacturing Units
    5. Research & Development
    6. Strategic Alliance
    7. Strategic Initiatives
  15. Company Profile (Business Description, Product Offering, Business Segments, Financials, Strategic Alliances or Partnerships, Future Plans)
    1. Trading Technologies International Inc.
    2. Kavout
    3. Auquan
    4. GreenKey Technologies LLC
    5. IBM Corporation
    6. TrendSpider LLC
    7. BlackBoxStocks, Inc
    8. Imperative Execution Inc.
    9. Techtrader
    10. Trade Ideas LLC
    11. Imperative Execution Inc.
    12. Looking Glass Investments LLC
  16. Disclaimer
North America Artificial Intelligence (AI) in Stock Trading Market, 2027