Industry Research Reports
Global AI Decision-Making Software Market Research Report 2026
Industry: Service & Software
Published Date: 2026-04-03
Pages: 136 Pages
Report ld: 6452718
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AI Decision-Making Software Market Size(US$)
CAGR 2026-2032
10.2%
Market Size,2032
USD 1,238
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Decision-Making Software market was valued at US$ 624 million in 2025 and is anticipated to reach US$ 1238 million by 2032, at a CAGR of 10.2% from 2026 to 2032.
AI Decision-Making Software refers to software systems that utilize artificial intelligence technologies such as machine learning, deep learning, data mining, and knowledge graphs to process, analyze, and model complex data, thereby assisting or replacing humans in making logical judgments and decisions. Its core functions include data perception, pattern recognition, predictive inference, and strategy optimization. It can extract key insights from massive amounts of information and provide explainable decision-making suggestions in uncertain environments. This type of software is widely used in fields such as financial risk control, supply chain scheduling, medical diagnosis, marketing, and industrial control, aiming to improve decision-making efficiency, reduce human bias, achieve automated operations, and support enterprises in forming an intelligent decision-making closed loop in a dynamic competitive environment.
The AI Decision-Making Software industry generally boasts high gross margins, typically ranging from 65% to 85%. Standardized SaaS products, due to their low marginal costs and high replicability, achieve gross margins of 75% to 85%. Project-based software requiring customized development, local deployment, and long-term implementation services, however, has relatively lower gross margins, around 55% to 70%. In terms of cost structure, R&D personnel salaries and computing resource investment account for the largest share. At the market level, the global market continues to expand. North America and Europe dominate in sectors with high compliance requirements, such as finance and healthcare. The Asia-Pacific region, benefiting from the intelligent transformation of manufacturing and policy-driven growth, has become the fastest-growing region. The upstream of the industry chain consists of chip manufacturers, cloud computing service providers, and data service providers, while the downstream covers industries such as finance, manufacturing, energy, and retail. Drivers of demand growth include the deepening of enterprise digital transformation, increased demand for data asset value mining, greater pressure to reduce costs and increase efficiency, and the intelligent upgrade in decision-making brought about by breakthroughs in generative AI technology. Future business opportunities are concentrated in deep solutions for vertical industries, the integration of generative AI with decision-making scenarios, edge intelligent decision-making, and the penetration of lightweight products for SMEs. Companies with accumulated industry knowledge, interpretable models, and the ability to deploy privately will have a core advantage in market competition.
This report delivers a comprehensive overview of the global AI Decision-Making Software market, with both quantitative and qualitative analyses, to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current market, and make informed business decisions regarding AI Decision-Making Software. The AI Decision-Making Software market size, estimates, and forecasts are provided in terms of revenue (US$ millions), with 2025 as the base year and historical and forecast data for 2021–2032.
The report segments the global AI Decision-Making Software market comprehensively. Regional market sizes by Type, by Application, by Deployment, and by player are also provided. For deeper insight, the report profiles the competitive landscape, key competitors, and their respective market rankings, and discusses technological trends and new product developments.
This report will assist AI Decision-Making Software manufacturers, new entrants, and companies across the industry value chain with information on revenues, sales volume, and average prices for the overall market and its sub-segments, by company, by Type, by Application, and by region.
MARKET SEGMENTATION
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
Consumption by Region
- North America
- United States
- Canada
- Asia-Pacific
- China
- Japan
- South Korea
- Southeast Asia
- India
- Australia
- Rest of Asia-Pacific
- Europe
- Germany
- France
- U.K.
- Italy
- Netherlands
- Nordic Countries
- Rest of Europe
- Latin America
- Mexico
- Brazil
- Rest of Latin America
- Middle East & Africa
- Turkey
- Saudi Arabia
- UAE
- Rest of MEA
Segment by Type
- Predictive Decision-Making Software
- Optimization Decision-Making Software
- Diagnostic Decision-Making Software
- Recommendation Decision-Making Software
Segment by Application
- Finance
- Supply Chain
- Healthcare
- Marketing & Customer Management
- Manufacturing
- Energy
- Others
Segment by Category
- Cloud-Based Deployment
- On-Premises Deployment
- Edge-Based Deployment
Segment by Division
- Machine Learning-Based Decision-Making Software
- Knowledge Graph-Based Decision-Making Software
- Rule Engine-Based Decision-Making Software
- Reinforcement Learning-Based Decision-Making Software
- Others
CHAPTER OUTLINE
Chapter 1: Defines the scope of the report and presents an executive summary of market segments (by Type, by Application, by Deployment, etc.), including the size of each segment and its future growth potential. It offers a high-level view of the current market and its likely evolution in the short, medium, and long term.
Chapter 2: Summarizes global and regional market size and outlines market dynamics and recent developments, including key drivers, restraints, challenges and risks for industry participants, and relevant policy analysis.
Chapter 3: Provides a detailed view of the competitive landscape for AI Decision-Making Software companies, covering revenue share, development plans, and mergers and acquisitions.
Chapter 4: Analyzes segments by Type, detailing the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 5: Analyzes segments by Application, detailing the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 6–10: Regional deep dives (North America, Europe, Asia Pacific, Latin America, Middle East & Africa) broken down by country. Each chapter quantifies market size and growth potential by region and key countries, and outlines market development, outlook, addressable space, and capacity.
Chapter 11: Profiles key players, presenting essential information on leading companies, including product/ service offerings, revenue, gross margin, product introductions/portfolios, recent developments, etc.
Chapter 12: Key findings and conclusions of the report.
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Decision-Making Software Market Size Growth Rate 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 Market by Deployment
1.3.1 Global AI Decision-Making Software Market Size Growth Rate by Deployment: 2021 vs 2025 vs 2032
1.3.2 Cloud-Based Deployment
1.3.3 On-Premises Deployment
1.3.4 Edge-Based Deployment
1.4 Market by Technology
1.4.1 Global AI Decision-Making Software Market Size Growth Rate by Technology: 2021 vs 2025 vs 2032
1.4.2 Machine Learning-Based Decision-Making Software
1.4.3 Knowledge Graph-Based Decision-Making Software
1.4.4 Rule Engine-Based Decision-Making Software
1.4.5 Reinforcement Learning-Based Decision-Making Software
1.4.6 Others
1.5 Market by Application
1.5.1 Global AI Decision-Making Software Market Growth by Application: 2021 vs 2025 vs 2032
1.5.2 Finance
1.5.3 Supply Chain
1.5.4 Healthcare
1.5.5 Marketing & Customer Management
1.5.6 Manufacturing
1.5.7 Energy
1.5.8 Others
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered
2 Global Growth Trends
2.1 Global AI Decision-Making Software Market Perspective (2021–2032)
2.2 Global AI Decision-Making Software Growth Trends by Region
2.2.1 Global AI Decision-Making Software Market Size by Region: 2021 vs 2025 vs 2032
2.2.2 AI Decision-Making Software Historic Market Size by Region (2021–2026)
2.2.3 AI Decision-Making Software Forecasted Market Size by Region (2027–2032)
2.3 AI Decision-Making Software Market Dynamics
2.3.1 AI Decision-Making Software Industry Trends
2.3.2 AI Decision-Making Software Market Drivers
2.3.3 AI Decision-Making Software Market Challenges
2.3.4 AI Decision-Making Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Decision-Making Software Players by Revenue
3.1.1 Global Top AI Decision-Making Software Players by Revenue (2021–2026)
3.1.2 Global AI Decision-Making Software Revenue Market Share by Players (2021–2026)
3.2 Global Top AI Decision-Making Software Players Market Share by Company Tier (Tier 1, Tier 2, Tier 3)
3.3 Global Key Players Ranking by AI Decision-Making Software Revenue
3.4 Global AI Decision-Making Software Market Concentration Ratio
3.4.1 Global AI Decision-Making Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Decision-Making Software Revenue in 2025
3.5 Global Key Players of AI Decision-Making Software Head Offices and Areas Served
3.6 Global Key Players of AI Decision-Making Software, Products and Applications
3.7 Global Key Players of AI Decision-Making Software, Date of General Availability (GA)
3.8 Mergers and Acquisitions, Expansion Plans
4 AI Decision-Making Software Breakdown Data by Type
4.1 Global AI Decision-Making Software Historic Market Size by Type (2021–2026)
4.2 Global AI Decision-Making Software Forecasted Market Size by Type (2027–2032)
5 AI Decision-Making Software Breakdown Data by Application
5.1 Global AI Decision-Making Software Historic Market Size by Application (2021–2026)
5.2 Global AI Decision-Making Software Forecasted Market Size by Application (2027–2032)
6 North America
6.1 North America AI Decision-Making Software Market Size (2021–2032)
6.2 North America AI Decision-Making Software Market Growth Rate by Country: 2021 vs 2025 vs 2032
6.3 North America AI Decision-Making Software Market Size by Country (2021–2026)
6.4 North America AI Decision-Making Software Market Size by Country (2027–2032)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Decision-Making Software Market Size (2021–2032)
7.2 Europe AI Decision-Making Software Market Growth Rate by Country: 2021 vs 2025 vs 2032
7.3 Europe AI Decision-Making Software Market Size by Country (2021–2026)
7.4 Europe AI Decision-Making Software Market Size by Country (2027–2032)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific AI Decision-Making Software Market Size (2021–2032)
8.2 Asia-Pacific AI Decision-Making Software Market Growth Rate by Region: 2021 vs 2025 vs 2032
8.3 Asia-Pacific AI Decision-Making Software Market Size by Region (2021–2026)
8.4 Asia-Pacific AI Decision-Making Software Market Size by Region (2027–2032)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America AI Decision-Making Software Market Size (2021–2032)
9.2 Latin America AI Decision-Making Software Market Growth Rate by Country: 2021 vs 2025 vs 2032
9.3 Latin America AI Decision-Making Software Market Size by Country (2021–2026)
9.4 Latin America AI Decision-Making Software Market Size by Country (2027–2032)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Decision-Making Software Market Size (2021–2032)
10.2 Middle East & Africa AI Decision-Making Software Market Growth Rate by Country: 2021 vs 2025 vs 2032
10.3 Middle East & Africa AI Decision-Making Software Market Size by Country (2021–2026)
10.4 Middle East & Africa AI Decision-Making Software Market Size by Country (2027–2032)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 GiniMachine
11.1.1 GiniMachine Company Details
11.1.2 GiniMachine Business Overview
11.1.3 GiniMachine AI Decision-Making Software Introduction
11.1.4 GiniMachine Revenue in AI Decision-Making Software Business (2021–2026)
11.1.5 GiniMachine Recent Development
11.2 SAS Intelligent Decisioning
11.2.1 SAS Intelligent Decisioning Company Details
11.2.2 SAS Intelligent Decisioning Business Overview
11.2.3 SAS Intelligent Decisioning AI Decision-Making Software Introduction
11.2.4 SAS Intelligent Decisioning Revenue in AI Decision-Making Software Business (2021–2026)
11.2.5 SAS Intelligent Decisioning Recent Development
11.3 PSSPL
11.3.1 PSSPL Company Details
11.3.2 PSSPL Business Overview
11.3.3 PSSPL AI Decision-Making Software Introduction
11.3.4 PSSPL Revenue in AI Decision-Making Software Business (2021–2026)
11.3.5 PSSPL Recent Development
11.4 Q2M Solutions
11.4.1 Q2M Solutions Company Details
11.4.2 Q2M Solutions Business Overview
11.4.3 Q2M Solutions AI Decision-Making Software Introduction
11.4.4 Q2M Solutions Revenue in AI Decision-Making Software Business (2021–2026)
11.4.5 Q2M Solutions Recent Development
11.5 Qubika
11.5.1 Qubika Company Details
11.5.2 Qubika Business Overview
11.5.3 Qubika AI Decision-Making Software Introduction
11.5.4 Qubika Revenue in AI Decision-Making Software Business (2021–2026)
11.5.5 Qubika Recent Development
11.6 FloQast
11.6.1 FloQast Company Details
11.6.2 FloQast Business Overview
11.6.3 FloQast AI Decision-Making Software Introduction
11.6.4 FloQast Revenue in AI Decision-Making Software Business (2021–2026)
11.6.5 FloQast Recent Development
11.7 Pegasus One
11.7.1 Pegasus One Company Details
11.7.2 Pegasus One Business Overview
11.7.3 Pegasus One AI Decision-Making Software Introduction
11.7.4 Pegasus One Revenue in AI Decision-Making Software Business (2021–2026)
11.7.5 Pegasus One Recent Development
11.8 LogicMonitor
11.8.1 LogicMonitor Company Details
11.8.2 LogicMonitor Business Overview
11.8.3 LogicMonitor AI Decision-Making Software Introduction
11.8.4 LogicMonitor Revenue in AI Decision-Making Software Business (2021–2026)
11.8.5 LogicMonitor Recent Development
11.9 Anaplan
11.9.1 Anaplan Company Details
11.9.2 Anaplan Business Overview
11.9.3 Anaplan AI Decision-Making Software Introduction
11.9.4 Anaplan Revenue in AI Decision-Making Software Business (2021–2026)
11.9.5 Anaplan Recent Development
11.10 Alteryx
11.10.1 Alteryx Company Details
11.10.2 Alteryx Business Overview
11.10.3 Alteryx AI Decision-Making Software Introduction
11.10.4 Alteryx Revenue in AI Decision-Making Software Business (2021–2026)
11.10.5 Alteryx Recent Development
11.11 TechAhead
11.11.1 TechAhead Company Details
11.11.2 TechAhead Business Overview
11.11.3 TechAhead AI Decision-Making Software Introduction
11.11.4 TechAhead Revenue in AI Decision-Making Software Business (2021–2026)
11.11.5 TechAhead Recent Development
11.12 Sana Labs
11.12.1 Sana Labs Company Details
11.12.2 Sana Labs Business Overview
11.12.3 Sana Labs AI Decision-Making Software Introduction
11.12.4 Sana Labs Revenue in AI Decision-Making Software Business (2021–2026)
11.12.5 Sana Labs Recent Development
11.13 Digis
11.13.1 Digis Company Details
11.13.2 Digis Business Overview
11.13.3 Digis AI Decision-Making Software Introduction
11.13.4 Digis Revenue in AI Decision-Making Software Business (2021–2026)
11.13.5 Digis Recent Development
11.14 Fujitsu AI Solutions
11.14.1 Fujitsu AI Solutions Company Details
11.14.2 Fujitsu AI Solutions Business Overview
11.14.3 Fujitsu AI Solutions AI Decision-Making Software Introduction
11.14.4 Fujitsu AI Solutions Revenue in AI Decision-Making Software Business (2021–2026)
11.14.5 Fujitsu AI Solutions Recent Development
11.15 SenseTime
11.15.1 SenseTime Company Details
11.15.2 SenseTime Business Overview
11.15.3 SenseTime AI Decision-Making Software Introduction
11.15.4 SenseTime Revenue in AI Decision-Making Software Business (2021–2026)
11.15.5 SenseTime Recent Development
11.16 Cambricon
11.16.1 Cambricon Company Details
11.16.2 Cambricon Business Overview
11.16.3 Cambricon AI Decision-Making Software Introduction
11.16.4 Cambricon Revenue in AI Decision-Making Software Business (2021–2026)
11.16.5 Cambricon Recent Development
11.17 DataPyramid
11.17.1 DataPyramid Company Details
11.17.2 DataPyramid Business Overview
11.17.3 DataPyramid AI Decision-Making Software Introduction
11.17.4 DataPyramid Revenue in AI Decision-Making Software Business (2021–2026)
11.17.5 DataPyramid Recent Development
11.18 Digitforce
11.18.1 Digitforce Company Details
11.18.2 Digitforce Business Overview
11.18.3 Digitforce AI Decision-Making Software Introduction
11.18.4 Digitforce Revenue in AI Decision-Making Software Business (2021–2026)
11.18.5 Digitforce Recent Development
11.19 Asiainfo
11.19.1 Asiainfo Company Details
11.19.2 Asiainfo Business Overview
11.19.3 Asiainfo AI Decision-Making Software Introduction
11.19.4 Asiainfo Revenue in AI Decision-Making Software Business (2021–2026)
11.19.5 Asiainfo Recent Development
11.20 Deepzero
11.20.1 Deepzero Company Details
11.20.2 Deepzero Business Overview
11.20.3 Deepzero AI Decision-Making Software Introduction
11.20.4 Deepzero Revenue in AI Decision-Making Software Business (2021–2026)
11.20.5 Deepzero 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
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
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MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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