Report overview
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.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Trading, 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. This report contains market size and forecasts of Artificial Intelligence in Trading in global, including the following market information:
Global Artificial Intelligence in Trading Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Artificial Intelligence in Trading market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Software Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Artificial Intelligence in Trading include IBM Corporation, Trading Technologies International, Inc, GreenKey Technologies, LLC, Trade Ideas, LLC, Imperative Execution Inc, Looking Glass Investments LLC, Aitrades, Kavout and Auquan, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Artificial Intelligence in Trading companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Artificial Intelligence in Trading Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Artificial Intelligence in Trading Market Segment Percentages, by Type, 2022 (%)
Software
Services
Global Artificial Intelligence in Trading Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Artificial Intelligence in Trading Market Segment Percentages, by Application, 2022 (%)
Automotive
IT & Telecommunication
Transportation & Logistics
Energy & Utilities
Healthcare
Retail
Manufacturing
Others
Global Artificial Intelligence in Trading Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Artificial Intelligence in Trading Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Artificial Intelligence in Trading revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Artificial Intelligence in Trading revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
IBM Corporation
Trading Technologies International, Inc
GreenKey Technologies, LLC
Trade Ideas, LLC
Imperative Execution Inc
Looking Glass Investments LLC
Aitrades
Kavout
Auquan
WOA
Techtrader
Outline of Major Chapters:
Chapter 1: Introduces the definition of Artificial Intelligence in Trading, market overview.
Chapter 2: Global Artificial Intelligence in Trading market size in revenue.
Chapter 3: Detailed analysis of Artificial Intelligence in Trading company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6: Sales of Artificial Intelligence in Trading in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
