Industry: Service & Software
Published Date: 2026-04-03
Pages: 104 Pages
Report ld: 6452715
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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 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.
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.
The global AI Decision-Making Software market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2021-2032.
MARKET SEGMENTATION
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the AI Decision-Making Software value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
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 by Type
1.2.1 Global Market Size and Growth 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 Application
1.3.1 Global Market Share 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 Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Decision-Making Software Market Perspective (2021-2032)
2.2 Global Market Size by Region: 2021 vs 2025 vs 2032
2.3 Global AI Decision-Making Software Market Share by Revenue, by Region (2021-2026)
2.4 Global AI Decision-Making Software Revenue Forecast by Region (2027-2032)
2.5 Major Regions and Emerging Markets Analysis
2.5.1 North America AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.2 Europe AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.3 China AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.4 Japan AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.5 Southeast Asia AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.6 India AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.7 South America AI Decision-Making Software Market Size and Prospective (2021-2032)
2.5.8 Middle East AI Decision-Making Software Market Size and Prospective (2021-2032)
3 Breakdown Data by Type
3.1 Global AI Decision-Making Software Historical Market Size by Type (2021-2026)
3.2 Global AI Decision-Making Software Forecasted Market Size by Type (2027-2032)
3.3 Representative Players for Different Types of AI Decision-Making Software
4 Breakdown Data by Application
4.1 Global AI Decision-Making Software Historical Market Size by Application (2021-2026)
4.2 Global AI Decision-Making Software Forecasted Market Size by Application (2027-2032)
4.3 New Sources of Growth in AI Decision-Making Software Applications
5 Competitive Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top AI Decision-Making Software Players by Revenue (2021-2026)
5.1.2 Global AI Decision-Making Software Market Share by Revenue, by Players (2021-2026)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by AI Decision-Making Software Revenue
5.4 Global AI Decision-Making Software Market Concentration Analysis
5.4.1 Global AI Decision-Making Software Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by AI Decision-Making Software Revenue in 2025
5.5 Global Key Players of AI Decision-Making Software Head Offices and Areas Served
5.6 Global Key Players of AI Decision-Making Software, Product and Application
5.7 Global Key Players of AI Decision-Making Software, Date of Entry into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments, Downstream and Major Customers
6.1.1 North America AI Decision-Making Software Revenue by Company (2021-2026)
6.1.2 North America Market Size by Type
6.1.2.1 North America AI Decision-Making Software Market Size by Type (2021-2026)
6.1.2.2 North America AI Decision-Making Software Market Share by Type (2021-2026)
6.1.3 North America Market Size by Application
6.1.3.1 North America AI Decision-Making Software Market Size by Application (2021-2026)
6.1.3.2 North America AI Decision-Making Software Market Share by Application (2021-2026)
6.1.4 North America AI Decision-Making Software Major Customers
6.1.5 North America Market Trends and Opportunities
6.2 Europe Market: Players, Segments, Downstream and Major Customers
6.2.1 Europe AI Decision-Making Software Revenue by Company (2021-2026)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe AI Decision-Making Software Market Size by Type (2021-2026)
6.2.2.2 Europe AI Decision-Making Software Market Share by Type (2021-2026)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe AI Decision-Making Software Market Size by Application (2021-2026)
6.2.3.2 Europe AI Decision-Making Software Market Share by Application (2021-2026)
6.2.4 Europe AI Decision-Making Software Major Customers
6.2.5 Europe Market Trends and Opportunities
6.3 China Market: Players, Segments, Downstream and Major Customers
6.3.1 China AI Decision-Making Software Revenue by Company (2021-2026)
6.3.2 China Market Size by Type
6.3.2.1 China AI Decision-Making Software Market Size by Type (2021-2026)
6.3.2.2 China AI Decision-Making Software Market Share by Type (2021-2026)
6.3.3 China Market Size by Application
6.3.3.1 China AI Decision-Making Software Market Size by Application (2021-2026)
6.3.3.2 China AI Decision-Making Software Market Share by Application (2021-2026)
6.3.4 China AI Decision-Making Software Major Customers
6.3.5 China Market Trends and Opportunities
6.4 Japan Market: Players, Segments, Downstream and Major Customers
6.4.1 Japan AI Decision-Making Software Revenue by Company (2021-2026)
6.4.2 Japan Market Size by Type
6.4.2.1 Japan AI Decision-Making Software Market Size by Type (2021-2026)
6.4.2.2 Japan AI Decision-Making Software Market Share by Type (2021-2026)
6.4.3 Japan Market Size by Application
6.4.3.1 Japan AI Decision-Making Software Market Size by Application (2021-2026)
6.4.3.2 Japan AI Decision-Making Software Market Share by Application (2021-2026)
6.4.4 Japan AI Decision-Making Software Major Customers
6.4.5 Japan Market Trends and Opportunities
6.5 Southeast Asia Market: Players, Segments, Downstream and Major Customers
6.5.1 Southeast Asia AI Decision-Making Software Revenue by Company (2021-2026)
6.5.2 Southeast Asia Market Size by Type
6.5.2.1 Southeast Asia AI Decision-Making Software Market Size by Type (2021-2026)
6.5.2.2 Southeast Asia AI Decision-Making Software Market Share by Type (2021-2026)
6.5.3 Southeast Asia Market Size by Application
6.5.3.1 Southeast Asia AI Decision-Making Software Market Size by Application (2021-2026)
6.5.3.2 Southeast Asia AI Decision-Making Software Market Share by Application (2021-2026)
6.5.4 Southeast Asia AI Decision-Making Software Major Customers
6.5.5 Southeast Asia Market Trends and Opportunities
6.6 India Market: Players, Segments, Downstream and Major Customers
6.6.1 India AI Decision-Making Software Revenue by Company (2021-2026)
6.6.2 India Market Size by Type
6.6.2.1 India AI Decision-Making Software Market Size by Type (2021-2026)
6.6.2.2 India AI Decision-Making Software Market Share by Type (2021-2026)
6.6.3 India Market Size by Application
6.6.3.1 India AI Decision-Making Software Market Size by Application (2021-2026)
6.6.3.2 India AI Decision-Making Software Market Share by Application (2021-2026)
6.6.4 India AI Decision-Making Software Major Customers
6.6.5 India Market Trends and Opportunities
7 Key Player Profiles
7.1 GiniMachine
7.1.1 GiniMachine Company Details
7.1.2 GiniMachine Business Overview
7.1.3 GiniMachine AI Decision-Making Software Introduction
7.1.4 GiniMachine Revenue in AI Decision-Making Software Business (2021-2026)
7.1.5 GiniMachine Recent Development
7.2 SAS Intelligent Decisioning
7.2.1 SAS Intelligent Decisioning Company Details
7.2.2 SAS Intelligent Decisioning Business Overview
7.2.3 SAS Intelligent Decisioning AI Decision-Making Software Introduction
7.2.4 SAS Intelligent Decisioning Revenue in AI Decision-Making Software Business (2021-2026)
7.2.5 SAS Intelligent Decisioning Recent Development
7.3 PSSPL
7.3.1 PSSPL Company Details
7.3.2 PSSPL Business Overview
7.3.3 PSSPL AI Decision-Making Software Introduction
7.3.4 PSSPL Revenue in AI Decision-Making Software Business (2021-2026)
7.3.5 PSSPL Recent Development
7.4 Q2M Solutions
7.4.1 Q2M Solutions Company Details
7.4.2 Q2M Solutions Business Overview
7.4.3 Q2M Solutions AI Decision-Making Software Introduction
7.4.4 Q2M Solutions Revenue in AI Decision-Making Software Business (2021-2026)
7.4.5 Q2M Solutions Recent Development
7.5 Qubika
7.5.1 Qubika Company Details
7.5.2 Qubika Business Overview
7.5.3 Qubika AI Decision-Making Software Introduction
7.5.4 Qubika Revenue in AI Decision-Making Software Business (2021-2026)
7.5.5 Qubika Recent Development
7.6 FloQast
7.6.1 FloQast Company Details
7.6.2 FloQast Business Overview
7.6.3 FloQast AI Decision-Making Software Introduction
7.6.4 FloQast Revenue in AI Decision-Making Software Business (2021-2026)
7.6.5 FloQast Recent Development
7.7 Pegasus One
7.7.1 Pegasus One Company Details
7.7.2 Pegasus One Business Overview
7.7.3 Pegasus One AI Decision-Making Software Introduction
7.7.4 Pegasus One Revenue in AI Decision-Making Software Business (2021-2026)
7.7.5 Pegasus One Recent Development
7.8 LogicMonitor
7.8.1 LogicMonitor Company Details
7.8.2 LogicMonitor Business Overview
7.8.3 LogicMonitor AI Decision-Making Software Introduction
7.8.4 LogicMonitor Revenue in AI Decision-Making Software Business (2021-2026)
7.8.5 LogicMonitor Recent Development
7.9 Anaplan
7.9.1 Anaplan Company Details
7.9.2 Anaplan Business Overview
7.9.3 Anaplan AI Decision-Making Software Introduction
7.9.4 Anaplan Revenue in AI Decision-Making Software Business (2021-2026)
7.9.5 Anaplan Recent Development
7.10 Alteryx
7.10.1 Alteryx Company Details
7.10.2 Alteryx Business Overview
7.10.3 Alteryx AI Decision-Making Software Introduction
7.10.4 Alteryx Revenue in AI Decision-Making Software Business (2021-2026)
7.10.5 Alteryx Recent Development
7.11 TechAhead
7.11.1 TechAhead Company Details
7.11.2 TechAhead Business Overview
7.11.3 TechAhead AI Decision-Making Software Introduction
7.11.4 TechAhead Revenue in AI Decision-Making Software Business (2021-2026)
7.11.5 TechAhead Recent Development
7.12 Sana Labs
7.12.1 Sana Labs Company Details
7.12.2 Sana Labs Business Overview
7.12.3 Sana Labs AI Decision-Making Software Introduction
7.12.4 Sana Labs Revenue in AI Decision-Making Software Business (2021-2026)
7.12.5 Sana Labs Recent Development
7.13 Digis
7.13.1 Digis Company Details
7.13.2 Digis Business Overview
7.13.3 Digis AI Decision-Making Software Introduction
7.13.4 Digis Revenue in AI Decision-Making Software Business (2021-2026)
7.13.5 Digis Recent Development
7.14 Fujitsu AI Solutions
7.14.1 Fujitsu AI Solutions Company Details
7.14.2 Fujitsu AI Solutions Business Overview
7.14.3 Fujitsu AI Solutions AI Decision-Making Software Introduction
7.14.4 Fujitsu AI Solutions Revenue in AI Decision-Making Software Business (2021-2026)
7.14.5 Fujitsu AI Solutions Recent Development
7.15 SenseTime
7.15.1 SenseTime Company Details
7.15.2 SenseTime Business Overview
7.15.3 SenseTime AI Decision-Making Software Introduction
7.15.4 SenseTime Revenue in AI Decision-Making Software Business (2021-2026)
7.15.5 SenseTime Recent Development
7.16 Cambricon
7.16.1 Cambricon Company Details
7.16.2 Cambricon Business Overview
7.16.3 Cambricon AI Decision-Making Software Introduction
7.16.4 Cambricon Revenue in AI Decision-Making Software Business (2021-2026)
7.16.5 Cambricon Recent Development
7.17 DataPyramid
7.17.1 DataPyramid Company Details
7.17.2 DataPyramid Business Overview
7.17.3 DataPyramid AI Decision-Making Software Introduction
7.17.4 DataPyramid Revenue in AI Decision-Making Software Business (2021-2026)
7.17.5 DataPyramid Recent Development
7.18 Digitforce
7.18.1 Digitforce Company Details
7.18.2 Digitforce Business Overview
7.18.3 Digitforce AI Decision-Making Software Introduction
7.18.4 Digitforce Revenue in AI Decision-Making Software Business (2021-2026)
7.18.5 Digitforce Recent Development
7.19 Asiainfo
7.19.1 Asiainfo Company Details
7.19.2 Asiainfo Business Overview
7.19.3 Asiainfo AI Decision-Making Software Introduction
7.19.4 Asiainfo Revenue in AI Decision-Making Software Business (2021-2026)
7.19.5 Asiainfo Recent Development
7.20 Deepzero
7.20.1 Deepzero Company Details
7.20.2 Deepzero Business Overview
7.20.3 Deepzero AI Decision-Making Software Introduction
7.20.4 Deepzero Revenue in AI Decision-Making Software Business (2021-2026)
7.20.5 Deepzero Recent Development
8 AI Decision-Making Software Market Dynamics
8.1 AI Decision-Making Software Industry Trends
8.2 AI Decision-Making Software Market Drivers
8.3 AI Decision-Making Software Market Challenges
8.4 AI Decision-Making Software Market Restraints
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.
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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 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.
Published: 2026-04-03
Pages: 139
REPORT COVERAGE
DESCRIPTION
OVERVIEW
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QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
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