Global AI Trading Software Market Research Report 2024

Publication ID:

PB512243096

Publication Date:

December 25, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Trading Software was valued at US$ 542 million in the year 2023 and is projected to reach a revised size of US$ 958 million by 2030, growing at a CAGR of 7.3% during the forecast period.
AI Trading Software is a software system that uses artificial intelligence technology to assist or achieve automated trading. This software uses advanced machine learning, deep learning, big data analysis and other artificial intelligence technologies to analyze financial market data, formulate and execute trading strategies, aiming to improve trading efficiency, reduce transaction costs, optimize investment portfolios, and provide investors with more accurate and efficient trading decision support.
North American market for AI Trading Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI Trading Software is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI Trading Software in Individual Investors is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI Trading Software include Algoriz, Alpaca, AlphaSense, Awesome Oscillator, Black Box Stocks, Boosted, iFlip, Kavout, Maticz, QuantConnect, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Trading Software, 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 AI Trading Software.
The AI Trading Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Trading Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Trading Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Algoriz
Alpaca
AlphaSense
Awesome Oscillator
Black Box Stocks
Boosted
iFlip
Kavout
Maticz
QuantConnect
Sentient Trader
Sentieo
Stock Rover
Stoic
Tickeron
Trade Ideas
TrendSpider
VanagePoint
Segment by Type
On-Premises Software
Cloud-Based Software
Segment by Application
Individual Investors
Institutional Investors
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Trading Software company competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Trading Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises Software
1.2.3 Cloud-Based Software
1.3 Market by Application
1.3.1 Global AI Trading Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Individual Investors
1.3.3 Institutional Investors
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Trading Software Market Perspective (2019-2030)
2.2 Global AI Trading Software Growth Trends by Region
2.2.1 Global AI Trading Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Trading Software Historic Market Size by Region (2019-2024)
2.2.3 AI Trading Software Forecasted Market Size by Region (2025-2030)
2.3 AI Trading Software Market Dynamics
2.3.1 AI Trading Software Industry Trends
2.3.2 AI Trading Software Market Drivers
2.3.3 AI Trading Software Market Challenges
2.3.4 AI Trading Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Trading Software Players by Revenue
3.1.1 Global Top AI Trading Software Players by Revenue (2019-2024)
3.1.2 Global AI Trading Software Revenue Market Share by Players (2019-2024)
3.2 Global AI Trading Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Trading Software Revenue
3.4 Global AI Trading Software Market Concentration Ratio
3.4.1 Global AI Trading Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Trading Software Revenue in 2023
3.5 Global Key Players of AI Trading Software Head office and Area Served
3.6 Global Key Players of AI Trading Software, Product and Application
3.7 Global Key Players of AI Trading Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Trading Software Breakdown Data by Type
4.1 Global AI Trading Software Historic Market Size by Type (2019-2024)
4.2 Global AI Trading Software Forecasted Market Size by Type (2025-2030)
5 AI Trading Software Breakdown Data by Application
5.1 Global AI Trading Software Historic Market Size by Application (2019-2024)
5.2 Global AI Trading Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Trading Software Market Size (2019-2030)
6.2 North America AI Trading Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Trading Software Market Size by Country (2019-2024)
6.4 North America AI Trading Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Trading Software Market Size (2019-2030)
7.2 Europe AI Trading Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Trading Software Market Size by Country (2019-2024)
7.4 Europe AI Trading Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Trading Software Market Size (2019-2030)
8.2 Asia-Pacific AI Trading Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Trading Software Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Trading Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Trading Software Market Size (2019-2030)
9.2 Latin America AI Trading Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Trading Software Market Size by Country (2019-2024)
9.4 Latin America AI Trading Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Trading Software Market Size (2019-2030)
10.2 Middle East & Africa AI Trading Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Trading Software Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Trading Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Algoriz
11.1.1 Algoriz Company Details
11.1.2 Algoriz Business Overview
11.1.3 Algoriz AI Trading Software Introduction
11.1.4 Algoriz Revenue in AI Trading Software Business (2019-2024)
11.1.5 Algoriz Recent Development
11.2 Alpaca
11.2.1 Alpaca Company Details
11.2.2 Alpaca Business Overview
11.2.3 Alpaca AI Trading Software Introduction
11.2.4 Alpaca Revenue in AI Trading Software Business (2019-2024)
11.2.5 Alpaca Recent Development
11.3 AlphaSense
11.3.1 AlphaSense Company Details
11.3.2 AlphaSense Business Overview
11.3.3 AlphaSense AI Trading Software Introduction
11.3.4 AlphaSense Revenue in AI Trading Software Business (2019-2024)
11.3.5 AlphaSense Recent Development
11.4 Awesome Oscillator
11.4.1 Awesome Oscillator Company Details
11.4.2 Awesome Oscillator Business Overview
11.4.3 Awesome Oscillator AI Trading Software Introduction
11.4.4 Awesome Oscillator Revenue in AI Trading Software Business (2019-2024)
11.4.5 Awesome Oscillator Recent Development
11.5 Black Box Stocks
11.5.1 Black Box Stocks Company Details
11.5.2 Black Box Stocks Business Overview
11.5.3 Black Box Stocks AI Trading Software Introduction
11.5.4 Black Box Stocks Revenue in AI Trading Software Business (2019-2024)
11.5.5 Black Box Stocks Recent Development
11.6 Boosted
11.6.1 Boosted Company Details
11.6.2 Boosted Business Overview
11.6.3 Boosted AI Trading Software Introduction
11.6.4 Boosted Revenue in AI Trading Software Business (2019-2024)
11.6.5 Boosted Recent Development
11.7 iFlip
11.7.1 iFlip Company Details
11.7.2 iFlip Business Overview
11.7.3 iFlip AI Trading Software Introduction
11.7.4 iFlip Revenue in AI Trading Software Business (2019-2024)
11.7.5 iFlip Recent Development
11.8 Kavout
11.8.1 Kavout Company Details
11.8.2 Kavout Business Overview
11.8.3 Kavout AI Trading Software Introduction
11.8.4 Kavout Revenue in AI Trading Software Business (2019-2024)
11.8.5 Kavout Recent Development
11.9 Maticz
11.9.1 Maticz Company Details
11.9.2 Maticz Business Overview
11.9.3 Maticz AI Trading Software Introduction
11.9.4 Maticz Revenue in AI Trading Software Business (2019-2024)
11.9.5 Maticz Recent Development
11.10 QuantConnect
11.10.1 QuantConnect Company Details
11.10.2 QuantConnect Business Overview
11.10.3 QuantConnect AI Trading Software Introduction
11.10.4 QuantConnect Revenue in AI Trading Software Business (2019-2024)
11.10.5 QuantConnect Recent Development
11.11 Sentient Trader
11.11.1 Sentient Trader Company Details
11.11.2 Sentient Trader Business Overview
11.11.3 Sentient Trader AI Trading Software Introduction
11.11.4 Sentient Trader Revenue in AI Trading Software Business (2019-2024)
11.11.5 Sentient Trader Recent Development
11.12 Sentieo
11.12.1 Sentieo Company Details
11.12.2 Sentieo Business Overview
11.12.3 Sentieo AI Trading Software Introduction
11.12.4 Sentieo Revenue in AI Trading Software Business (2019-2024)
11.12.5 Sentieo Recent Development
11.13 Stock Rover
11.13.1 Stock Rover Company Details
11.13.2 Stock Rover Business Overview
11.13.3 Stock Rover AI Trading Software Introduction
11.13.4 Stock Rover Revenue in AI Trading Software Business (2019-2024)
11.13.5 Stock Rover Recent Development
11.14 Stoic
11.14.1 Stoic Company Details
11.14.2 Stoic Business Overview
11.14.3 Stoic AI Trading Software Introduction
11.14.4 Stoic Revenue in AI Trading Software Business (2019-2024)
11.14.5 Stoic Recent Development
11.15 Tickeron
11.15.1 Tickeron Company Details
11.15.2 Tickeron Business Overview
11.15.3 Tickeron AI Trading Software Introduction
11.15.4 Tickeron Revenue in AI Trading Software Business (2019-2024)
11.15.5 Tickeron Recent Development
11.16 Trade Ideas
11.16.1 Trade Ideas Company Details
11.16.2 Trade Ideas Business Overview
11.16.3 Trade Ideas AI Trading Software Introduction
11.16.4 Trade Ideas Revenue in AI Trading Software Business (2019-2024)
11.16.5 Trade Ideas Recent Development
11.17 TrendSpider
11.17.1 TrendSpider Company Details
11.17.2 TrendSpider Business Overview
11.17.3 TrendSpider AI Trading Software Introduction
11.17.4 TrendSpider Revenue in AI Trading Software Business (2019-2024)
11.17.5 TrendSpider Recent Development
11.18 VanagePoint
11.18.1 VanagePoint Company Details
11.18.2 VanagePoint Business Overview
11.18.3 VanagePoint AI Trading Software Introduction
11.18.4 VanagePoint Revenue in AI Trading Software Business (2019-2024)
11.18.5 VanagePoint Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Algoriz
Alpaca
AlphaSense
Awesome Oscillator
Black Box Stocks
Boosted
iFlip
Kavout
Maticz
QuantConnect
Sentient Trader
Sentieo
Stock Rover
Stoic
Tickeron
Trade Ideas
TrendSpider
VanagePoint

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