Artificial Intelligence in Trading - Global Market Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511245559

Publication Date:

November 4, 2024

Pages:

106

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Implementation of artificial intelligence technology in trading or stock market change the overall shape of stock market. Artificial intelligence (AI) in the form of robo-advisers has already entered into the trading market. A robo-adviser simplifies the trading work flow, as it analyzes millions of data points and executes trades at the optimal price.Implementation of an AI platform for trading enables easy identification of complex trading patterns on a massive scale across multiple markets in real-time. It also makes daily workflow easier, improves business processes, increases contact center interaction, and reduces communication complexity.
The global market for Artificial Intelligence in Trading was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/57 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Trading, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Trading by region & country, by Type, and by Application.
The Artificial Intelligence in Trading market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Trading.
Market Segmentation
By Company
IBM Corporation
Trading Technologies International, Inc
GreenKey Technologies, LLC
Trade Ideas, LLC
Imperative Execution Inc
Looking Glass Investments LLC
Aitrades
Kavout
Auquan
WOA
Techtrader
Segment by Type:
Software
Services
Segment by Application
Automotive
IT & Telecommunication
Transportation & Logistics
Energy & Utilities
Healthcare
Retail
Manufacturing
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
U.A.E
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Trading manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence in Trading in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Trading in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 Market Overview
1.1 Artificial Intelligence in Trading Product Introduction
1.2 Global Artificial Intelligence in Trading Market Size Forecast
1.3 Artificial Intelligence in Trading Market Trends & Drivers
1.3.1 Artificial Intelligence in Trading Industry Trends
1.3.2 Artificial Intelligence in Trading Market Drivers & Opportunity
1.3.3 Artificial Intelligence in Trading Market Challenges
1.3.4 Artificial Intelligence in Trading Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Trading Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Trading Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Trading Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Trading Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Trading
2.6 Artificial Intelligence in Trading Market Competitive Analysis
2.6.1 Artificial Intelligence in Trading Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Trading Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Trading as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Software
3.1.2 Services
3.2 Global Artificial Intelligence in Trading Sales Value by Type
3.2.1 Global Artificial Intelligence in Trading Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Trading Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Trading Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Automotive
4.1.2 IT & Telecommunication
4.1.3 Transportation & Logistics
4.1.4 Energy & Utilities
4.1.5 Healthcare
4.1.6 Retail
4.1.7 Manufacturing
4.1.8 Others
4.2 Global Artificial Intelligence in Trading Sales Value by Application
4.2.1 Global Artificial Intelligence in Trading Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Trading Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Trading Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Trading Sales Value by Region
5.1.1 Global Artificial Intelligence in Trading Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Trading Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Trading Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Trading Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Trading Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Trading Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Trading Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Trading Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Trading Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Trading Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Trading Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Trading Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Trading Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Trading Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Trading Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Trading Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Trading Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Trading Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Trading Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Trading Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Trading Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Trading Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Trading Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Trading Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Trading Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 IBM Corporation
7.1.1 IBM Corporation Profile
7.1.2 IBM Corporation Main Business
7.1.3 IBM Corporation Artificial Intelligence in Trading Products, Services and Solutions
7.1.4 IBM Corporation Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.1.5 IBM Corporation Recent Developments
7.2 Trading Technologies International, Inc
7.2.1 Trading Technologies International, Inc Profile
7.2.2 Trading Technologies International, Inc Main Business
7.2.3 Trading Technologies International, Inc Artificial Intelligence in Trading Products, Services and Solutions
7.2.4 Trading Technologies International, Inc Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.2.5 Trading Technologies International, Inc Recent Developments
7.3 GreenKey Technologies, LLC
7.3.1 GreenKey Technologies, LLC Profile
7.3.2 GreenKey Technologies, LLC Main Business
7.3.3 GreenKey Technologies, LLC Artificial Intelligence in Trading Products, Services and Solutions
7.3.4 GreenKey Technologies, LLC Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.3.5 Trade Ideas, LLC Recent Developments
7.4 Trade Ideas, LLC
7.4.1 Trade Ideas, LLC Profile
7.4.2 Trade Ideas, LLC Main Business
7.4.3 Trade Ideas, LLC Artificial Intelligence in Trading Products, Services and Solutions
7.4.4 Trade Ideas, LLC Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.4.5 Trade Ideas, LLC Recent Developments
7.5 Imperative Execution Inc
7.5.1 Imperative Execution Inc Profile
7.5.2 Imperative Execution Inc Main Business
7.5.3 Imperative Execution Inc Artificial Intelligence in Trading Products, Services and Solutions
7.5.4 Imperative Execution Inc Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.5.5 Imperative Execution Inc Recent Developments
7.6 Looking Glass Investments LLC
7.6.1 Looking Glass Investments LLC Profile
7.6.2 Looking Glass Investments LLC Main Business
7.6.3 Looking Glass Investments LLC Artificial Intelligence in Trading Products, Services and Solutions
7.6.4 Looking Glass Investments LLC Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.6.5 Looking Glass Investments LLC Recent Developments
7.7 Aitrades
7.7.1 Aitrades Profile
7.7.2 Aitrades Main Business
7.7.3 Aitrades Artificial Intelligence in Trading Products, Services and Solutions
7.7.4 Aitrades Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.7.5 Aitrades Recent Developments
7.8 Kavout
7.8.1 Kavout Profile
7.8.2 Kavout Main Business
7.8.3 Kavout Artificial Intelligence in Trading Products, Services and Solutions
7.8.4 Kavout Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.8.5 Kavout Recent Developments
7.9 Auquan
7.9.1 Auquan Profile
7.9.2 Auquan Main Business
7.9.3 Auquan Artificial Intelligence in Trading Products, Services and Solutions
7.9.4 Auquan Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.9.5 Auquan Recent Developments
7.10 WOA
7.10.1 WOA Profile
7.10.2 WOA Main Business
7.10.3 WOA Artificial Intelligence in Trading Products, Services and Solutions
7.10.4 WOA Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.10.5 WOA Recent Developments
7.11 Techtrader
7.11.1 Techtrader Profile
7.11.2 Techtrader Main Business
7.11.3 Techtrader Artificial Intelligence in Trading Products, Services and Solutions
7.11.4 Techtrader Artificial Intelligence in Trading Revenue (US$ Million) & (2019-2024)
7.11.5 Techtrader Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Trading Industrial Chain
8.2 Artificial Intelligence in Trading Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Trading Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Trading Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

IBM Corporation
Trading Technologies International, Inc
GreenKey Technologies, LLC
Trade Ideas, LLC
Imperative Execution Inc
Looking Glass Investments LLC
Aitrades
Kavout
Auquan
WOA
Techtrader

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