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.

  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
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