Close Lucintel Chat
Didn't Find What You're Looking for?
Call us at +1972 636 5056 or write at helpdesk@Lucintel.com
Ask an Expert Provide Custom Requirements Download Sample Report Search Available Reports
  • helpdesk@Lucintel.com
  • |
  • Call Lucintel +1 972 636 5056
  • |
  • Login
  • |
  • Register
  • |
  • Search
  • |
'
...

The Impact of COVID-19 is included in AI Trading Platform Market Report. Buy it today to get an advantage.

Request the impact of COVID-19 on your product or industry


AI Trading Platform Market Trends and Forecast

The future of the global AI trading platform market looks promising with opportunities in the banking & financial institution and broker markets. The global AI trading platform market is expected to grow with a CAGR of 10.2% from 2024 to 2030. The major drivers for this market are increasing reliance on ai for developing & executing trading algorithms, growing demand for AI to analyze large datasets & generate trading insights, and rising need for AI tools to manage & capitalize on market fluctuations.
• Lucintel forecasts that web based is expected to witness higher growth over the forecast period.
• Within this market, banking & financial institution is expected to witness the higher growth.
• APAC is expected to witness the highest growth over the forecast period.

AI Trading Platform Market Trends and Forecast

Country Wise Outlook for the AI Trading Platform Market

• United States: JPMorgan Chase launched an AI-powered trading platform to enhance market analysis and trading strategies. The US government supports fintech innovations through regulatory frameworks aimed at promoting financial technology advancements.

• China: Ant Group introduced AI trading tools for retail investors, focusing on personalized investment strategies. Chinese government initiatives encourage the integration of AI in finance to boost the sectorÄX%$%Xs global competitiveness.

• United Kingdom: Barclays integrated AI algorithms into its trading systems to optimize trade execution and risk management. The UK government promotes AI and fintech collaboration through funding and research grants to advance financial services.

• Singapore: DBS Bank deployed AI-driven trading solutions to improve decision-making and market forecasting. The Singaporean government supports AI in finance through initiatives aimed at positioning Singapore as a global fintech hub.


A more than 150-page report is developed to help in your business decisions. Sample figures with some insights are shown below.

AI Trading Platform Market by Segment

AI Trading Platform Market by Segment

The study includes a forecast for the global AI trading platform market by type, application, and region.

AI Trading Platform Market by Type [Value from 2018 to 2030]:


• Web Based
• App Based

AI Trading Platform Market by Application [Value from 2018 to 2030]:


• Banking & Financial Institutions
• Brokers
• Others

AI Trading Platform Market by Region [Value from 2018 to 2030]:


• North America
• Europe
• Asia Pacific
• The Rest of the World

List of AI Trading Platform Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies AI trading platform companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the AI trading platform companies profiled in this report include-
• Smurfit Kappa
• DS Smith
• LESTER PACKING
• Schoeller Allibert Services
• Buckhorn
• ORBIS Corporation
• TranPak
• PalletOne
• Dynawest Limited
• Myers Industries

Recent Development in the AI Trading Platform Market

• JPMorgan Chase: JPMorgan Chase launched an AI-powered trading platform designed to enhance market analysis and trading strategies. The platform utilizes advanced machine learning algorithms to analyze market data and provide real-time trading insights, aiming to improve trading efficiency and accuracy for institutional investors.

• Goldman Sachs: Goldman Sachs developed an AI-driven trading platform that leverages big data and machine learning to predict market movements and optimize trading decisions. This initiative enhances Goldman SachsÄX%$%X capabilities in algorithmic trading and risk management, positioning the firm at the forefront of AI innovation in financial services.

• Ant Group: Ant Group introduced AI trading tools targeted at retail investors, focusing on providing personalized investment strategies. These tools use AI to analyze individual investment behaviors and market trends, offering tailored advice to help retail investors make informed trading decisions.

• Barclays: Barclays integrated AI algorithms into its trading systems to improve trade execution and risk management. The AI-driven enhancements aim to optimize trading performance by reducing manual errors and increasing the speed and accuracy of transactions, reinforcing BarclaysÄX%$%X commitment to leveraging technology for better financial services.

• DBS Bank: DBS Bank deployed AI-driven trading solutions to enhance decision-making and market forecasting. The AI tools analyze vast amounts of market data to identify trading opportunities and trends, supporting DBS BankÄX%$%Xs strategy to utilize cutting-edge technology to deliver superior financial services and insights to its clients.

Features of the Global AI Trading Platform Market

Market Size Estimates: AI trading platform market size estimation in terms of value ($B).
Trend and Forecast Analysis: Market trends (2018 to 2023) and forecast (2024 to 2030) by various segments and regions.
Segmentation Analysis: AI trading platform market size by type, application, and region in terms of value ($B).
Regional Analysis: AI trading platform market breakdown by North America, Europe, Asia Pacific, and Rest of the World.
Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the AI trading platform market.
Strategic Analysis: This includes M&A, new product development, and competitive landscape of the AI trading platform market.
Analysis of competitive intensity of the industry based on Porter’s Five Forces model.

FAQ

Q1. What is the growth forecast for AI trading platform market?
Answer: The global AI trading platform market is expected to grow with a CAGR of 10.2% from 2024 to 2030.
Q2. What are the major drivers influencing the growth of the AI trading platform market?
Answer: The major drivers for this market are increasing reliance on ai for developing & executing trading algorithms, growing demand for AI to analyze large datasets & generate trading insights, and rising need for AI tools to manage & capitalize on market fluctuations.
Q3. What are the major segments for AI trading platform market?
Answer: The future of the AI trading platform market looks promising with opportunities in the banking & financial institution and broker markets.
Q4. Who are the key AI trading platform market companies?
Answer: Some of the key AI trading platform companies are as follows:
• Smurfit Kappa
• DS Smith
• LESTER PACKING
• Schoeller Allibert Services
• Buckhorn
• ORBIS Corporation
• TranPak
• PalletOne
• Dynawest Limited
• Myers Industries
Q5. Which AI trading platform market segment will be the largest in future?
Answer: Lucintel forecasts that web based is expected to witness higher growth over the forecast period.
Q6. In AI trading platform market, which region is expected to be the largest in next 5 years?
Answer: APAC is expected to witness the highest growth over the forecast period.
Q7. Do we receive customization in this report?
Answer: Yes, Lucintel provides 10% customization without any additional cost.

This report answers following 11 key questions:

Q.1. What are some of the most promising, high-growth opportunities for the AI trading platform market by type (web based and app based), application (banking & financial institutions, brokers, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2. Which segments will grow at a faster pace and why?
Q.3. Which region will grow at a faster pace and why?
Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
Q.5. What are the business risks and competitive threats in this market?
Q.6. What are the emerging trends in this market and the reasons behind them?
Q.7. What are some of the changing demands of customers in the market?
Q.8. What are the new developments in the market? Which companies are leading these developments?
Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

For any questions related to AI Trading Platform Market, AI Trading Platform Market Size, AI Trading Platform Market Growth, AI Trading Platform Market Analysis, AI Trading Platform Market Report, AI Trading Platform Market Share, AI Trading Platform Market Trends, AI Trading Platform Market Forecast, AI Trading Platform Market Companies, write Lucintel analyst at email: helpdesk@lucintel.com. We will be glad to get back to you soon.
Table of Contents

1. Executive Summary
2. Global AI Trading Platform Market : Market Dynamics
2.1: Introduction, Background, and Classifications
2.2: Supply Chain
2.3: Industry Drivers and Challenges 
3. Market Trends and Forecast Analysis from 2018 to 2030
3.1. Macroeconomic Trends (2018-2023) and Forecast (2024-2030)
3.2. Global AI Trading Platform Market Trends (2018-2023) and Forecast (2024-2030)
3.3: Global AI Trading Platform Market by Type
3.3.1: Web Based
3.3.2: App Based
3.4: Global AI Trading Platform Market by Application
3.4.1: Banking & Financial Institutions
3.4.2: Brokers
3.4.3: Others
4. Market Trends and Forecast Analysis by Region from 2018 to 2030
4.1: Global AI Trading Platform Market by Region
4.2: North American AI Trading Platform Market
4.2.1: North American AI Trading Platform Market by Type: Web Based and App Based
4.2.2: North American AI Trading Platform Market by Application: Banking & Financial Institutions, Brokers, and Others
4.3: European AI Trading Platform Market
4.3.1: European AI Trading Platform Market by Type: Web Based and App Based
4.3.2: European AI Trading Platform Market by Application: Banking & Financial Institutions, Brokers, and Others
4.4: APAC AI Trading Platform Market
4.4.1: APAC AI Trading Platform Market by Type: Web Based and App Based
4.4.2: APAC AI Trading Platform Market by Application: Banking & Financial Institutions, Brokers, and Others
4.5: ROW AI Trading Platform Market
4.5.1: ROW AI Trading Platform Market by Type: Web Based and App Based
4.5.2: ROW AI Trading Platform Market by Application: Banking & Financial Institutions, Brokers, and Others
5. Competitor Analysis
5.1: Product Portfolio Analysis
5.2: Operational Integration
5.3: Porter’s Five Forces Analysis
6. Growth Opportunities and Strategic Analysis
6.1: Growth Opportunity Analysis
6.1.1: Growth Opportunities for the Global AI Trading Platform Market by Type
6.1.2: Growth Opportunities for the Global AI Trading Platform Market by Application
6.1.3: Growth Opportunities for the Global AI Trading Platform Market by Region
6.2: Emerging Trends in the Global AI Trading Platform Market
6.3: Strategic Analysis
6.3.1: New Product Development
6.3.2: Capacity Expansion of the Global AI Trading Platform Market
6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global AI Trading Platform Market
6.3.4: Certification and Licensing
7. Company Profiles of Leading Players
7.1: Smurfit Kappa
7.2: DS Smith
7.3: LESTER PACKING
7.4: Schoeller Allibert Services
7.5: Buckhorn
7.6: ORBIS Corporation
7.7: TranPak
7.8: PalletOne
7.9: Dynawest Limited
7.10: Myers Industries
.

Buy full report or by chapter as follows

Price by License Type:
[-] Hide Chapter Details
[Chapter Number] [Chapter Name] [Chapter Number Of Pages] [Chapter Price]
Title/Chapter Name Pages Price
Full Report: AI Trading Platform Market Report: Trends, Forecast and Competitive Analysis to 2030 Full Report $ 4,850
A 150 Page Report
Lucintel has been in the business of market research and management consulting since 2000 and has published over 1000 market intelligence reports in various markets / applications and served over 1,000 clients worldwide. This study is a culmination of four months of full-time effort performed by Lucintel's analyst team. The analysts used the following sources for the creation and completion of this valuable report:
  • In-depth interviews of the major players in this market
  • Detailed secondary research from competitors’ financial statements and published data 
  • Extensive searches of published works, market, and database information pertaining to industry news, company press releases, and customer intentions
  • A compilation of the experiences, judgments, and insights of Lucintel’s professionals, who have analyzed and tracked this market over the years.
Extensive research and interviews are conducted across the supply chain of this market to estimate market share, market size, trends, drivers, challenges, and forecasts. Below is a brief summary of the primary interviews that were conducted by job function for this report.
 
Thus, Lucintel compiles vast amounts of data from numerous sources, validates the integrity of that data, and performs a comprehensive analysis. Lucintel then organizes the data, its findings, and insights into a concise report designed to support the strategic decision-making process. The figure below is a graphical representation of Lucintel’s research process.