Industry: Service & Software
Published Date: 2026-04-03
Pages: 139 Pages
Report ld: 6452714
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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 market for AI Decision-Making Software was estimated to be worth US$ 624 million in 2025 and is projected to reach US$ 1238 million, growing 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 provides a comprehensive view of the global market for AI Decision-Making Software, covering total sales revenue, the market share and ranking of key companies, along with analyses by region & country, by Type, and by Application.
The AI Decision-Making Software market size, estimations, and forecasts are presented in terms of sales revenue ($ millions), with 2025 as the base year and historical and forecast data from 2021 to 2032. The report combines quantitative and qualitative analysis to help readers develop growth strategies, assess the competitive landscape, evaluate their position in the current marketplace, and make informed business decisions regarding AI Decision-Making Software.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Introduces the scope of the report and the global market size (value). It also summarizes market dynamics and recent developments; identifies key drivers and restraints; outlines challenges and risks for players; reviews relevant industry policies.
Chapter 2: Provides a detailed analysis of the AI Decision-Making Software companies' competitive landscape—including revenue shares, recent development plans, and mergers and acquisitions (M&A).
Chapter 3: Analyzes market segmentation by Type, presenting the size and growth potential of each segment to help readers identify blue-ocean opportunities.
Chapter 4: Analyzes market segmentation by Application, presenting the size and growth potential of each downstream segment to help readers identify blue-ocean opportunities.
Chapter 5: Presents AI Decision-Making Software revenue at the regional level. It offers a quantitative assessment of market size and growth potential by region and summarizes market development, future prospects, addressable space, and country-level market size worldwide.
Chapter 6: Presents AI Decision-Making Software revenue at the country level. It provides segmented data by Type and by Application for each country/region.
Chapter 7: Profiles key players, detailing the main companies' product revenue, gross margin, product portfolios, recent developments, etc.
Chapter 8: Analysis of Value Chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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 Market Overview
1.1 AI Decision-Making Software Product Introduction
1.2 Global AI Decision-Making Software Market Size Forecast (2021–2032)
1.3 AI Decision-Making Software Market Trends & Drivers
1.3.1 AI Decision-Making Software Industry Trends
1.3.2 AI Decision-Making Software Market Drivers & Opportunities
1.3.3 AI Decision-Making Software Market Challenges
1.3.4 AI Decision-Making Software Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Decision-Making Software Players Revenue Ranking (2025)
2.2 Global AI Decision-Making Software Revenue by Company (2021–2026)
2.3 Key Companies’ R&D and Operations Footprint and Headquarters
2.4 Key Companies AI Decision-Making Software Product Offerings
2.5 Key Companies General Availability (GA) Timeline for AI Decision-Making Software
2.6 AI Decision-Making Software Market Competitive Analysis
2.6.1 AI Decision-Making Software Market Concentration Rate (2021–2026)
2.6.2 Top 5 and Top 10 Global Companies by AI Decision-Making Software Revenue in 2025
2.6.3 Global Companies by Tier (Tier 1, Tier 2, Tier 3), based on AI Decision-Making Software revenue, 2025
2.7 Mergers & Acquisitions and Expansion
3 Segmentation AI Decision-Making Software Market Classification
3.1 Introduction by Type
3.1.1 Predictive Decision-Making Software
3.1.2 Optimization Decision-Making Software
3.1.3 Diagnostic Decision-Making Software
3.1.4 Recommendation Decision-Making Software
3.1.5 Global AI Decision-Making Software Sales Value by Type
3.1.5.1 Global AI Decision-Making Software Sales Value by Type (2021 vs 2025 vs 2032)
3.1.5.2 Global AI Decision-Making Software Sales Value, by Type (2021–2032)
3.1.5.3 Global AI Decision-Making Software Sales Value, by Type (%), 2021–2032
3.2 Introduction by Deployment
3.2.1 Cloud-Based Deployment
3.2.2 On-Premises Deployment
3.2.3 Edge-Based Deployment
3.2.4 Global AI Decision-Making Software Sales Value by Deployment
3.2.4.1 Global AI Decision-Making Software Sales Value by Deployment (2021 vs 2025 vs 2032)
3.2.4.2 Global AI Decision-Making Software Sales Value, by Deployment (2021–2032)
3.2.4.3 Global AI Decision-Making Software Sales Value, by Deployment (%), 2021–2032
3.3 Introduction by Technology
3.3.1 Machine Learning-Based Decision-Making Software
3.3.2 Knowledge Graph-Based Decision-Making Software
3.3.3 Rule Engine-Based Decision-Making Software
3.3.4 Reinforcement Learning-Based Decision-Making Software
3.3.5 Others
3.3.6 Global AI Decision-Making Software Sales Value by Technology
3.3.6.1 Global AI Decision-Making Software Sales Value by Technology (2021 vs 2025 vs 2032)
3.3.6.2 Global AI Decision-Making Software Sales Value, by Technology (2021–2032)
3.3.6.3 Global AI Decision-Making Software Sales Value, by Technology (%), 2021–2032
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Finance
4.1.2 Supply Chain
4.1.3 Healthcare
4.1.4 Marketing & Customer Management
4.1.5 Manufacturing
4.1.6 Energy
4.1.7 Others
4.2 Global AI Decision-Making Software Sales Value by Application
4.2.1 Global AI Decision-Making Software Sales Value by Application (2021 vs 2025 vs 2032)
4.2.2 Global AI Decision-Making Software Sales Value by Application (2021–2032)
4.2.3 Global AI Decision-Making Software Sales Value by Application (%), 2021–2032
5 Segmentation by Region
5.1 Global AI Decision-Making Software Sales Value by Region
5.1.1 Global AI Decision-Making Software Sales Value by Region: 2021 vs 2025 vs 2032
5.1.2 Global AI Decision-Making Software Sales Value by Region (2021–2026)
5.1.3 Global AI Decision-Making Software Sales Value by Region (2027–2032)
5.1.4 Global AI Decision-Making Software Sales Value by Region (%), 2021–2032
5.2 North America
5.2.1 North America AI Decision-Making Software Sales Value, 2021–2032
5.2.2 North America AI Decision-Making Software Sales Value by Country (%), 2025 vs 2032
5.3 Europe
5.3.1 Europe AI Decision-Making Software Sales Value, 2021–2032
5.3.2 Europe AI Decision-Making Software Sales Value by Country (%), 2025 vs 2032
5.4 Asia Pacific
5.4.1 Asia Pacific AI Decision-Making Software Sales Value, 2021–2032
5.4.2 Asia Pacific AI Decision-Making Software Sales Value by Subregion (%), 2025 vs 2032
5.5 South America
5.5.1 South America AI Decision-Making Software Sales Value, 2021–2032
5.5.2 South America AI Decision-Making Software Sales Value by Country (%), 2025 vs 2032
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Decision-Making Software Sales Value, 2021–2032
5.6.2 Middle East & Africa AI Decision-Making Software Sales Value by Country (%), 2025 vs 2032
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Decision-Making Software Sales Value Growth Trends, 2021 vs 2025 vs 2032
6.2 Key Countries/Regions AI Decision-Making Software Sales Value, 2021–2032
6.3 United States
6.3.1 United States AI Decision-Making Software Sales Value, 2021–2032
6.3.2 United States AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.3.3 United States AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.4 Europe
6.4.1 Europe AI Decision-Making Software Sales Value, 2021–2032
6.4.2 Europe AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.4.3 Europe AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.5 China
6.5.1 China AI Decision-Making Software Sales Value, 2021–2032
6.5.2 China AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.5.3 China AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.6 Japan
6.6.1 Japan AI Decision-Making Software Sales Value, 2021–2032
6.6.2 Japan AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.6.3 Japan AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.7 South Korea
6.7.1 South Korea AI Decision-Making Software Sales Value, 2021–2032
6.7.2 South Korea AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.7.3 South Korea AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.8 Southeast Asia
6.8.1 Southeast Asia AI Decision-Making Software Sales Value, 2021–2032
6.8.2 Southeast Asia AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.8.3 Southeast Asia AI Decision-Making Software Sales Value by Application, 2025 vs 2032
6.9 India
6.9.1 India AI Decision-Making Software Sales Value, 2021–2032
6.9.2 India AI Decision-Making Software Sales Value by Type (%), 2025 vs 2032
6.9.3 India AI Decision-Making Software Sales Value by Application, 2025 vs 2032
7 Company Profiles
7.1 GiniMachine
7.1.1 GiniMachine Profile
7.1.2 GiniMachine Main Business
7.1.3 GiniMachine AI Decision-Making Software Products, Services, and Solutions
7.1.4 GiniMachine AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.1.5 GiniMachine Recent Developments
7.2 SAS Intelligent Decisioning
7.2.1 SAS Intelligent Decisioning Profile
7.2.2 SAS Intelligent Decisioning Main Business
7.2.3 SAS Intelligent Decisioning AI Decision-Making Software Products, Services, and Solutions
7.2.4 SAS Intelligent Decisioning AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.2.5 SAS Intelligent Decisioning Recent Developments
7.3 PSSPL
7.3.1 PSSPL Profile
7.3.2 PSSPL Main Business
7.3.3 PSSPL AI Decision-Making Software Products, Services, and Solutions
7.3.4 PSSPL AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.3.5 PSSPL Recent Developments
7.4 Q2M Solutions
7.4.1 Q2M Solutions Profile
7.4.2 Q2M Solutions Main Business
7.4.3 Q2M Solutions AI Decision-Making Software Products, Services, and Solutions
7.4.4 Q2M Solutions AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.4.5 Q2M Solutions Recent Developments
7.5 Qubika
7.5.1 Qubika Profile
7.5.2 Qubika Main Business
7.5.3 Qubika AI Decision-Making Software Products, Services, and Solutions
7.5.4 Qubika AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.5.5 Qubika Recent Developments
7.6 FloQast
7.6.1 FloQast Profile
7.6.2 FloQast Main Business
7.6.3 FloQast AI Decision-Making Software Products, Services, and Solutions
7.6.4 FloQast AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.6.5 FloQast Recent Developments
7.7 Pegasus One
7.7.1 Pegasus One Profile
7.7.2 Pegasus One Main Business
7.7.3 Pegasus One AI Decision-Making Software Products, Services, and Solutions
7.7.4 Pegasus One AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.7.5 Pegasus One Recent Developments
7.8 LogicMonitor
7.8.1 LogicMonitor Profile
7.8.2 LogicMonitor Main Business
7.8.3 LogicMonitor AI Decision-Making Software Products, Services, and Solutions
7.8.4 LogicMonitor AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.8.5 LogicMonitor Recent Developments
7.9 Anaplan
7.9.1 Anaplan Profile
7.9.2 Anaplan Main Business
7.9.3 Anaplan AI Decision-Making Software Products, Services, and Solutions
7.9.4 Anaplan AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.9.5 Anaplan Recent Developments
7.10 Alteryx
7.10.1 Alteryx Profile
7.10.2 Alteryx Main Business
7.10.3 Alteryx AI Decision-Making Software Products, Services, and Solutions
7.10.4 Alteryx AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.10.5 Alteryx Recent Developments
7.11 TechAhead
7.11.1 TechAhead Profile
7.11.2 TechAhead Main Business
7.11.3 TechAhead AI Decision-Making Software Products, Services, and Solutions
7.11.4 TechAhead AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.11.5 TechAhead Recent Developments
7.12 Sana Labs
7.12.1 Sana Labs Profile
7.12.2 Sana Labs Main Business
7.12.3 Sana Labs AI Decision-Making Software Products, Services, and Solutions
7.12.4 Sana Labs AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.12.5 Sana Labs Recent Developments
7.13 Digis
7.13.1 Digis Profile
7.13.2 Digis Main Business
7.13.3 Digis AI Decision-Making Software Products, Services, and Solutions
7.13.4 Digis AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.13.5 Digis Recent Developments
7.14 Fujitsu AI Solutions
7.14.1 Fujitsu AI Solutions Profile
7.14.2 Fujitsu AI Solutions Main Business
7.14.3 Fujitsu AI Solutions AI Decision-Making Software Products, Services, and Solutions
7.14.4 Fujitsu AI Solutions AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.14.5 Fujitsu AI Solutions Recent Developments
7.15 SenseTime
7.15.1 SenseTime Profile
7.15.2 SenseTime Main Business
7.15.3 SenseTime AI Decision-Making Software Products, Services, and Solutions
7.15.4 SenseTime AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.15.5 SenseTime Recent Developments
7.16 Cambricon
7.16.1 Cambricon Profile
7.16.2 Cambricon Main Business
7.16.3 Cambricon AI Decision-Making Software Products, Services, and Solutions
7.16.4 Cambricon AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.16.5 Cambricon Recent Developments
7.17 DataPyramid
7.17.1 DataPyramid Profile
7.17.2 DataPyramid Main Business
7.17.3 DataPyramid AI Decision-Making Software Products, Services, and Solutions
7.17.4 DataPyramid AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.17.5 DataPyramid Recent Developments
7.18 Digitforce
7.18.1 Digitforce Profile
7.18.2 Digitforce Main Business
7.18.3 Digitforce AI Decision-Making Software Products, Services, and Solutions
7.18.4 Digitforce AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.18.5 Digitforce Recent Developments
7.19 Asiainfo
7.19.1 Asiainfo Profile
7.19.2 Asiainfo Main Business
7.19.3 Asiainfo AI Decision-Making Software Products, Services, and Solutions
7.19.4 Asiainfo AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.19.5 Asiainfo Recent Developments
7.20 Deepzero
7.20.1 Deepzero Profile
7.20.2 Deepzero Main Business
7.20.3 Deepzero AI Decision-Making Software Products, Services, and Solutions
7.20.4 Deepzero AI Decision-Making Software Revenue (US$ Million), 2021–2026
7.20.5 Deepzero Recent Developments
8 Industry Chain Analysis
8.1 AI Decision-Making Software Value Chain
8.2 AI Decision-Making Software Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Key Suppliers of Raw Materials
8.2.3 Cost Structure
8.3 Midstream Analysis
8.4 Downstream (Customer) Analysis
8.5 Sales Model and Sales Channelss
8.5.1 AI Decision-Making Software Sales Model
8.5.2 Sales Channels
8.5.3 AI Decision-Making Software Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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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.
Published Date: 2026-04-03
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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.
Published: 2026-04-03
Pages: 136
The global AI Decision-Making Software market is projected to grow from US$ 624 million in 2025 to US$ 1238 million by 2032, at a CAGR of 10.2% (2026-2032), driven by critical product segments and diverse end‑use applications.
Published: 2026-04-03
Pages: 150
The global AI Decision-Making Software market size was US$ 624 million in 2025 and is forecast to reach a readjusted size of US$ 1238 million by 2032 with a CAGR of 10.2% during the forecast period 2026-2032.
Published: 2026-04-03
Pages: 104
REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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