Selected research
Market Analysis & Forecast
Global AI Decision-Making Software Market Analysis and Forecast 2026-2032
Market perspective
The global AI Decision-Making Software market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI Decision-Making Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI Decision-Making Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI Decision-Making Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI Decision-Making Software is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI Decision-Making Software include GiniMachine, SAS Intelligent Decisioning, PSSPL, Q2M Solutions, Qubika, FloQast, Pegasus One, LogicMonitor and Anaplan, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI Decision-Making Software, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI Decision-Making Software, also provides the revenue of main regions and countries. Of the upcoming market potential for AI Decision-Making Software, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI Decision-Making Software revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI Decision-Making Software market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI Decision-Making Software revenue, projected growth trends, production technology, application and end-user industry.
AI Decision-Making Software Segment by Company
GiniMachine
SAS Intelligent Decisioning
PSSPL
Q2M Solutions
Qubika
FloQast
Pegasus One
LogicMonitor
Anaplan
Alteryx
TechAhead
Sana Labs
Digis
Fujitsu AI Solutions
SenseTime
Cambricon
DataPyramid
Digitforce
Asiainfo
Deepzero
AI Decision-Making Software Segment by Type
Predictive Decision-Making Software
Optimization Decision-Making Software
Diagnostic Decision-Making Software
Recommendation Decision-Making Software
AI Decision-Making Software Segment by Application
Finance
Supply Chain
Healthcare
Marketing & Customer Management
Manufacturing
Energy
Others
AI Decision-Making Software Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI Decision-Making Software market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI Decision-Making Software and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI Decision-Making Software.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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 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 3: Revenue of AI Decision-Making Software in global and regional 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, and capacity of each country in the world.
Chapter 4: Detailed analysis of AI Decision-Making Software company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI Decision-Making Software revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Predictive Decision-Making Software
- Optimization Decision-Making Software
- Diagnostic Decision-Making Software
- Recommendation Decision-Making Software
Applications
- Finance
- Supply Chain
- Healthcare
- Marketing & Customer Management
- Manufacturing
- Energy
- Others
Companies covered
- GiniMachine
- SAS Intelligent Decisioning
- PSSPL
- Q2M Solutions
- Qubika
- FloQast
- Pegasus One
- LogicMonitor
- Anaplan
- Alteryx
- TechAhead
- Sana Labs
- Digis
- Fujitsu AI Solutions
- SenseTime
- Cambricon
- DataPyramid
- Digitforce
- Asiainfo
- Deepzero
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI Decision-Making Software Market by Type
- 1.2.1 Global AI Decision-Making Software Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Predictive Decision-Making Software
- 1.2.3 Optimization Decision-Making Software
- 1.2.4 Diagnostic Decision-Making Software
- 1.2.5 Recommendation Decision-Making Software
- 1.3 AI Decision-Making Software Market by Application
- 1.3.1 Global AI Decision-Making Software Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Finance
- 1.3.3 Supply Chain
- 1.3.4 Healthcare
- 1.3.5 Marketing & Customer Management
- 1.3.6 Manufacturing
- 1.3.7 Energy
- 1.3.8 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI Decision-Making Software Market Dynamics
- 2.1 AI Decision-Making Software Industry Trends
- 2.2 AI Decision-Making Software Industry Drivers
- 2.3 AI Decision-Making Software Industry Opportunities and Challenges
- 2.4 AI Decision-Making Software Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI Decision-Making Software Market Perspective (2021-2032)
- 3.2 Global AI Decision-Making Software Growth Trends by Region
- 3.2.1 Global AI Decision-Making Software Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI Decision-Making Software Market Size by Region (2021-2026)
- 3.2.3 Global AI Decision-Making Software Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI Decision-Making Software Revenue by Players
- 4.1.1 Global AI Decision-Making Software Revenue by Players (2021-2026)
- 4.1.2 Global AI Decision-Making Software Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI Decision-Making Software Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI Decision-Making Software Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI Decision-Making Software Key Players Headquarters & Area Served
- 4.4 Global AI Decision-Making Software Players, Product Type & Application
- 4.5 Global AI Decision-Making Software Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI Decision-Making Software Market CR5 and HHI
- 4.6.3 2025 AI Decision-Making Software Tier 1, Tier 2, and Tier 3
5 AI Decision-Making Software Market Size by Type
- 5.1 Global AI Decision-Making Software Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI Decision-Making Software Revenue by Type (2021-2032)
- 5.3 Global AI Decision-Making Software Revenue Market Share by Type (2021-2032)
6 AI Decision-Making Software Market Size by Application
- 6.1 Global AI Decision-Making Software Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI Decision-Making Software Revenue by Application (2021-2032)
- 6.3 Global AI Decision-Making Software Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 GiniMachine
- 7.1.1 GiniMachine Company Information
- 7.1.2 GiniMachine Business Overview
- 7.1.3 GiniMachine AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.1.4 GiniMachine AI Decision-Making Software Product Portfolio
- 7.1.5 GiniMachine Recent Developments
- 7.2 SAS Intelligent Decisioning
- 7.2.1 SAS Intelligent Decisioning Company Information
- 7.2.2 SAS Intelligent Decisioning Business Overview
- 7.2.3 SAS Intelligent Decisioning AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.2.4 SAS Intelligent Decisioning AI Decision-Making Software Product Portfolio
- 7.2.5 SAS Intelligent Decisioning Recent Developments
- 7.3 PSSPL
- 7.3.1 PSSPL Company Information
- 7.3.2 PSSPL Business Overview
- 7.3.3 PSSPL AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.3.4 PSSPL AI Decision-Making Software Product Portfolio
- 7.3.5 PSSPL Recent Developments
- 7.4 Q2M Solutions
- 7.4.1 Q2M Solutions Company Information
- 7.4.2 Q2M Solutions Business Overview
- 7.4.3 Q2M Solutions AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.4.4 Q2M Solutions AI Decision-Making Software Product Portfolio
- 7.4.5 Q2M Solutions Recent Developments
- 7.5 Qubika
- 7.5.1 Qubika Company Information
- 7.5.2 Qubika Business Overview
- 7.5.3 Qubika AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.5.4 Qubika AI Decision-Making Software Product Portfolio
- 7.5.5 Qubika Recent Developments
- 7.6 FloQast
- 7.6.1 FloQast Company Information
- 7.6.2 FloQast Business Overview
- 7.6.3 FloQast AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.6.4 FloQast AI Decision-Making Software Product Portfolio
- 7.6.5 FloQast Recent Developments
- 7.7 Pegasus One
- 7.7.1 Pegasus One Company Information
- 7.7.2 Pegasus One Business Overview
- 7.7.3 Pegasus One AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.7.4 Pegasus One AI Decision-Making Software Product Portfolio
- 7.7.5 Pegasus One Recent Developments
- 7.8 LogicMonitor
- 7.8.1 LogicMonitor Company Information
- 7.8.2 LogicMonitor Business Overview
- 7.8.3 LogicMonitor AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.8.4 LogicMonitor AI Decision-Making Software Product Portfolio
- 7.8.5 LogicMonitor Recent Developments
- 7.9 Anaplan
- 7.9.1 Anaplan Company Information
- 7.9.2 Anaplan Business Overview
- 7.9.3 Anaplan AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.9.4 Anaplan AI Decision-Making Software Product Portfolio
- 7.9.5 Anaplan Recent Developments
- 7.10 Alteryx
- 7.10.1 Alteryx Company Information
- 7.10.2 Alteryx Business Overview
- 7.10.3 Alteryx AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.10.4 Alteryx AI Decision-Making Software Product Portfolio
- 7.10.5 Alteryx Recent Developments
- 7.11 TechAhead
- 7.11.1 TechAhead Company Information
- 7.11.2 TechAhead Business Overview
- 7.11.3 TechAhead AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.11.4 TechAhead AI Decision-Making Software Product Portfolio
- 7.11.5 TechAhead Recent Developments
- 7.12 Sana Labs
- 7.12.1 Sana Labs Company Information
- 7.12.2 Sana Labs Business Overview
- 7.12.3 Sana Labs AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.12.4 Sana Labs AI Decision-Making Software Product Portfolio
- 7.12.5 Sana Labs Recent Developments
- 7.13 Digis
- 7.13.1 Digis Company Information
- 7.13.2 Digis Business Overview
- 7.13.3 Digis AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.13.4 Digis AI Decision-Making Software Product Portfolio
- 7.13.5 Digis Recent Developments
- 7.14 Fujitsu AI Solutions
- 7.14.1 Fujitsu AI Solutions Company Information
- 7.14.2 Fujitsu AI Solutions Business Overview
- 7.14.3 Fujitsu AI Solutions AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.14.4 Fujitsu AI Solutions AI Decision-Making Software Product Portfolio
- 7.14.5 Fujitsu AI Solutions Recent Developments
- 7.15 SenseTime
- 7.15.1 SenseTime Company Information
- 7.15.2 SenseTime Business Overview
- 7.15.3 SenseTime AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.15.4 SenseTime AI Decision-Making Software Product Portfolio
- 7.15.5 SenseTime Recent Developments
- 7.16 Cambricon
- 7.16.1 Cambricon Company Information
- 7.16.2 Cambricon Business Overview
- 7.16.3 Cambricon AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.16.4 Cambricon AI Decision-Making Software Product Portfolio
- 7.16.5 Cambricon Recent Developments
- 7.17 DataPyramid
- 7.17.1 DataPyramid Company Information
- 7.17.2 DataPyramid Business Overview
- 7.17.3 DataPyramid AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.17.4 DataPyramid AI Decision-Making Software Product Portfolio
- 7.17.5 DataPyramid Recent Developments
- 7.18 Digitforce
- 7.18.1 Digitforce Company Information
- 7.18.2 Digitforce Business Overview
- 7.18.3 Digitforce AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.18.4 Digitforce AI Decision-Making Software Product Portfolio
- 7.18.5 Digitforce Recent Developments
- 7.19 Asiainfo
- 7.19.1 Asiainfo Company Information
- 7.19.2 Asiainfo Business Overview
- 7.19.3 Asiainfo AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.19.4 Asiainfo AI Decision-Making Software Product Portfolio
- 7.19.5 Asiainfo Recent Developments
- 7.20 Deepzero
- 7.20.1 Deepzero Company Information
- 7.20.2 Deepzero Business Overview
- 7.20.3 Deepzero AI Decision-Making Software Revenue and Gross Margin (2021-2026)
- 7.20.4 Deepzero AI Decision-Making Software Product Portfolio
- 7.20.5 Deepzero Recent Developments
8 North America
- 8.1 North America AI Decision-Making Software Revenue (2021-2032)
- 8.2 North America AI Decision-Making Software Revenue by Type (2021-2032)
- 8.2.1 North America AI Decision-Making Software Revenue by Type (2021-2026)
- 8.2.2 North America AI Decision-Making Software Revenue by Type (2027-2032)
- 8.3 North America AI Decision-Making Software Revenue Share by Type (2021-2032)
- 8.4 North America AI Decision-Making Software Revenue by Application (2021-2032)
- 8.4.1 North America AI Decision-Making Software Revenue by Application (2021-2026)
- 8.4.2 North America AI Decision-Making Software Revenue by Application (2027-2032)
- 8.5 North America AI Decision-Making Software Revenue Share by Application (2021-2032)
- 8.6 North America AI Decision-Making Software Revenue by Country
- 8.6.1 North America AI Decision-Making Software Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI Decision-Making Software Revenue by Country (2021-2026)
- 8.6.3 North America AI Decision-Making Software Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI Decision-Making Software Revenue (2021-2032)
- 9.2 Europe AI Decision-Making Software Revenue by Type (2021-2032)
- 9.2.1 Europe AI Decision-Making Software Revenue by Type (2021-2026)
- 9.2.2 Europe AI Decision-Making Software Revenue by Type (2027-2032)
- 9.3 Europe AI Decision-Making Software Revenue Share by Type (2021-2032)
- 9.4 Europe AI Decision-Making Software Revenue by Application (2021-2032)
- 9.4.1 Europe AI Decision-Making Software Revenue by Application (2021-2026)
- 9.4.2 Europe AI Decision-Making Software Revenue by Application (2027-2032)
- 9.5 Europe AI Decision-Making Software Revenue Share by Application (2021-2032)
- 9.6 Europe AI Decision-Making Software Revenue by Country
- 9.6.1 Europe AI Decision-Making Software Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI Decision-Making Software Revenue by Country (2021-2026)
- 9.6.3 Europe AI Decision-Making Software Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI Decision-Making Software Revenue (2021-2032)
- 10.2 China AI Decision-Making Software Revenue by Type (2021-2032)
- 10.2.1 China AI Decision-Making Software Revenue by Type (2021-2026)
- 10.2.2 China AI Decision-Making Software Revenue by Type (2027-2032)
- 10.3 China AI Decision-Making Software Revenue Share by Type (2021-2032)
- 10.4 China AI Decision-Making Software Revenue by Application (2021-2032)
- 10.4.1 China AI Decision-Making Software Revenue by Application (2021-2026)
- 10.4.2 China AI Decision-Making Software Revenue by Application (2027-2032)
- 10.5 China AI Decision-Making Software Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI Decision-Making Software Revenue (2021-2032)
- 11.2 Asia AI Decision-Making Software Revenue by Type (2021-2032)
- 11.2.1 Asia AI Decision-Making Software Revenue by Type (2021-2026)
- 11.2.2 Asia AI Decision-Making Software Revenue by Type (2027-2032)
- 11.3 Asia AI Decision-Making Software Revenue Share by Type (2021-2032)
- 11.4 Asia AI Decision-Making Software Revenue by Application (2021-2032)
- 11.4.1 Asia AI Decision-Making Software Revenue by Application (2021-2026)
- 11.4.2 Asia AI Decision-Making Software Revenue by Application (2027-2032)
- 11.5 Asia AI Decision-Making Software Revenue Share by Application (2021-2032)
- 11.6 Asia AI Decision-Making Software Revenue by Country
- 11.6.1 Asia AI Decision-Making Software Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI Decision-Making Software Revenue by Country (2021-2026)
- 11.6.3 Asia AI Decision-Making Software Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI Decision-Making Software Revenue (2021-2032)
- 12.2 SAMEA AI Decision-Making Software Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI Decision-Making Software Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI Decision-Making Software Revenue by Type (2027-2032)
- 12.3 SAMEA AI Decision-Making Software Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI Decision-Making Software Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI Decision-Making Software Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI Decision-Making Software Revenue by Application (2027-2032)
- 12.5 SAMEA AI Decision-Making Software Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI Decision-Making Software Revenue by Country
- 12.6.1 SAMEA AI Decision-Making Software Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI Decision-Making Software Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI Decision-Making Software Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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