Industry: Service & Software
Published Date: 2025-11-04
Pages: 162 Pages
Report ld: 4929312
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AI Inventory Management Software Market Size(US$)

CAGR 2025-2031
10.6%
Market Size,2031
USD 6,631
Million
Market Snapshot
Source: Secondary research, interviews with experts, and QYResearch analysis
The global AI Inventory Management Software market is projected to grow from US$ 3258 million in 2024 to US$ 6631 million by 2031, at a CAGR of 10.6% (2025-2031), driven by critical product segments and diverse end‑use applications.
AI inventory management software leverages artificial intelligence and machine learning to automate and optimize inventory processes. These tools help businesses improve forecasting, streamline operations, reduce costs, and enhance customer satisfaction. Key features include real-time tracking, demand forecasting, automated reordering, and data-driven insights.
The AI inventory management software market is experiencing rapid growth, demonstrating clear technological and market trends. The industry is exploring diverse technology integration applications. For example, real-time inventory monitoring is being conducted through Internet of Things (IoT) sensors and RFID tags; blockchain technology is being used to enhance supply chain data transparency and traceability; and, as in the case of Gather AI, autonomous inventory counts are being conducted using off-the-shelf drones.
For asset-intensive businesses, AI systems can effectively optimize maintenance, repair, and operations (MRO) material inventories. For example, IBM Maximo can help companies ensure the availability of critical spare parts while eliminating excess inventory. Innovative companies like Atomic, leveraging practical experience from Tesla's Gigafactory, use real-time multimodal data processing to significantly improve inventory turnover and reduce downtime for clients in industries such as automotive manufacturing and energy storage.
In an industry characterized by fluctuating demand, AI's predictive capabilities are crucial. Tools like ForecxtIQ for Shopify marketplaces analyze sales data, marketing spend, and seasonal trends to provide merchants with accurate demand forecasts and automated replenishment recommendations. Globally, this market features numerous and diverse players, including specialized vendors and comprehensive ERP service providers such as Netstock, Oracle, SAP, Microsoft Dynamics 365, and Blue Yonder. When selecting a provider, companies should consider their scale, industry characteristics, IT infrastructure, and integration requirements with existing systems.
Report Includes:
This definitive report equips business leaders, decision-makers and stakeholders with a 360° view of the global AI Inventory Management Software market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Defines the AI Inventory Management Software study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth—details product specs, revenue, margins; top-tier players 2024 sales breakdowns by product type, by Application, by region SWOT analysis, and recent strategic developments.
Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 14: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.
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 Study Coverage
1.1 Introduction to AI Inventory Management Software: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI Inventory Management Software Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market Segmentation by Application
1.3.1 Global AI Inventory Management Software Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global AI Inventory Management Software Revenue Estimates and Forecasts 2020-2031
2.2 Global AI Inventory Management Software Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global AI Inventory Management Software Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global AI Inventory Management Software Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Cloud-based Market Size by Players
3.3.2 On-premises Market Size by Players
3.4 Global AI Inventory Management Software Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global AI Inventory Management Software Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global AI Inventory Management Software Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America AI Inventory Management Software Market Size by Type (2020-2031)
6.4 North America AI Inventory Management Software Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America AI Inventory Management Software Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe AI Inventory Management Software Market Size by Type (2020-2031)
7.4 Europe AI Inventory Management Software Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe AI Inventory Management Software Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific AI Inventory Management Software Market Size by Type (2020-2031)
8.4 Asia-Pacific AI Inventory Management Software Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific AI Inventory Management Software Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America AI Inventory Management Software Market Size by Type (2020-2031)
9.4 Central and South America AI Inventory Management Software Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America AI Inventory Management Software Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa AI Inventory Management Software Market Size by Type (2020-2031)
10.4 Middle East and Africa AI Inventory Management Software Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa AI Inventory Management Software Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Netstock
11.1.1 Netstock Corporation Information
11.1.2 Netstock Business Overview
11.1.3 Netstock AI Inventory Management Software Product Features and Attributes
11.1.4 Netstock AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.1.5 Netstock AI Inventory Management Software Revenue by Product in 2024
11.1.6 Netstock AI Inventory Management Software Revenue by Application in 2024
11.1.7 Netstock AI Inventory Management Software Revenue by Geographic Area in 2024
11.1.8 Netstock AI Inventory Management Software SWOT Analysis
11.1.9 Netstock Recent Developments
11.2 C3 AI
11.2.1 C3 AI Corporation Information
11.2.2 C3 AI Business Overview
11.2.3 C3 AI AI Inventory Management Software Product Features and Attributes
11.2.4 C3 AI AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.2.5 C3 AI AI Inventory Management Software Revenue by Product in 2024
11.2.6 C3 AI AI Inventory Management Software Revenue by Application in 2024
11.2.7 C3 AI AI Inventory Management Software Revenue by Geographic Area in 2024
11.2.8 C3 AI AI Inventory Management Software SWOT Analysis
11.2.9 C3 AI Recent Developments
11.3 Peak AI
11.3.1 Peak AI Corporation Information
11.3.2 Peak AI Business Overview
11.3.3 Peak AI AI Inventory Management Software Product Features and Attributes
11.3.4 Peak AI AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.3.5 Peak AI AI Inventory Management Software Revenue by Product in 2024
11.3.6 Peak AI AI Inventory Management Software Revenue by Application in 2024
11.3.7 Peak AI AI Inventory Management Software Revenue by Geographic Area in 2024
11.3.8 Peak AI AI Inventory Management Software SWOT Analysis
11.3.9 Peak AI Recent Developments
11.4 Oracle
11.4.1 Oracle Corporation Information
11.4.2 Oracle Business Overview
11.4.3 Oracle AI Inventory Management Software Product Features and Attributes
11.4.4 Oracle AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.4.5 Oracle AI Inventory Management Software Revenue by Product in 2024
11.4.6 Oracle AI Inventory Management Software Revenue by Application in 2024
11.4.7 Oracle AI Inventory Management Software Revenue by Geographic Area in 2024
11.4.8 Oracle AI Inventory Management Software SWOT Analysis
11.4.9 Oracle Recent Developments
11.5 Finally
11.5.1 Finally Corporation Information
11.5.2 Finally Business Overview
11.5.3 Finally AI Inventory Management Software Product Features and Attributes
11.5.4 Finally AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.5.5 Finally AI Inventory Management Software Revenue by Product in 2024
11.5.6 Finally AI Inventory Management Software Revenue by Application in 2024
11.5.7 Finally AI Inventory Management Software Revenue by Geographic Area in 2024
11.5.8 Finally AI Inventory Management Software SWOT Analysis
11.5.9 Finally Recent Developments
11.6 SAP Inventory Manager
11.6.1 SAP Inventory Manager Corporation Information
11.6.2 SAP Inventory Manager Business Overview
11.6.3 SAP Inventory Manager AI Inventory Management Software Product Features and Attributes
11.6.4 SAP Inventory Manager AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.6.5 SAP Inventory Manager Recent Developments
11.7 Linnworks Advanced
11.7.1 Linnworks Advanced Corporation Information
11.7.2 Linnworks Advanced Business Overview
11.7.3 Linnworks Advanced AI Inventory Management Software Product Features and Attributes
11.7.4 Linnworks Advanced AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.7.5 Linnworks Advanced Recent Developments
11.8 Relevance AI
11.8.1 Relevance AI Corporation Information
11.8.2 Relevance AI Business Overview
11.8.3 Relevance AI AI Inventory Management Software Product Features and Attributes
11.8.4 Relevance AI AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.8.5 Relevance AI Recent Developments
11.9 Microsoft Dynamics 365 Supply Chain Management
11.9.1 Microsoft Dynamics 365 Supply Chain Management Corporation Information
11.9.2 Microsoft Dynamics 365 Supply Chain Management Business Overview
11.9.3 Microsoft Dynamics 365 Supply Chain Management AI Inventory Management Software Product Features and Attributes
11.9.4 Microsoft Dynamics 365 Supply Chain Management AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.9.5 Microsoft Dynamics 365 Supply Chain Management Recent Developments
11.10 Manhattan Active
11.10.1 Manhattan Active Corporation Information
11.10.2 Manhattan Active Business Overview
11.10.3 Manhattan Active AI Inventory Management Software Product Features and Attributes
11.10.4 Manhattan Active AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 GreyOrange
11.11.1 GreyOrange Corporation Information
11.11.2 GreyOrange Business Overview
11.11.3 GreyOrange AI Inventory Management Software Product Features and Attributes
11.11.4 GreyOrange AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.11.5 GreyOrange Recent Developments
11.12 Blue Yonder
11.12.1 Blue Yonder Corporation Information
11.12.2 Blue Yonder Business Overview
11.12.3 Blue Yonder AI Inventory Management Software Product Features and Attributes
11.12.4 Blue Yonder AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.12.5 Blue Yonder Recent Developments
11.13 Zoho Inventory
11.13.1 Zoho Inventory Corporation Information
11.13.2 Zoho Inventory Business Overview
11.13.3 Zoho Inventory AI Inventory Management Software Product Features and Attributes
11.13.4 Zoho Inventory AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.13.5 Zoho Inventory Recent Developments
11.14 Cin7
11.14.1 Cin7 Corporation Information
11.14.2 Cin7 Business Overview
11.14.3 Cin7 AI Inventory Management Software Product Features and Attributes
11.14.4 Cin7 AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.14.5 Cin7 Recent Developments
11.15 Fishbowl Inventory
11.15.1 Fishbowl Inventory Corporation Information
11.15.2 Fishbowl Inventory Business Overview
11.15.3 Fishbowl Inventory AI Inventory Management Software Product Features and Attributes
11.15.4 Fishbowl Inventory AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.15.5 Fishbowl Inventory Recent Developments
11.16 NetSuite ERP
11.16.1 NetSuite ERP Corporation Information
11.16.2 NetSuite ERP Business Overview
11.16.3 NetSuite ERP AI Inventory Management Software Product Features and Attributes
11.16.4 NetSuite ERP AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.16.5 NetSuite ERP Recent Developments
11.17 Katana MRP
11.17.1 Katana MRP Corporation Information
11.17.2 Katana MRP Business Overview
11.17.3 Katana MRP AI Inventory Management Software Product Features and Attributes
11.17.4 Katana MRP AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.17.5 Katana MRP Recent Developments
11.18 ClickUp
11.18.1 ClickUp Corporation Information
11.18.2 ClickUp Business Overview
11.18.3 ClickUp AI Inventory Management Software Product Features and Attributes
11.18.4 ClickUp AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.18.5 ClickUp Recent Developments
11.19 Freshworks
11.19.1 Freshworks Corporation Information
11.19.2 Freshworks Business Overview
11.19.3 Freshworks AI Inventory Management Software Product Features and Attributes
11.19.4 Freshworks AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.19.5 Freshworks Recent Developments
11.20 IBM Supply Chain
11.20.1 IBM Supply Chain Corporation Information
11.20.2 IBM Supply Chain Business Overview
11.20.3 IBM Supply Chain AI Inventory Management Software Product Features and Attributes
11.20.4 IBM Supply Chain AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.20.5 IBM Supply Chain Recent Developments
11.21 Project44
11.21.1 Project44 Corporation Information
11.21.2 Project44 Business Overview
11.21.3 Project44 AI Inventory Management Software Product Features and Attributes
11.21.4 Project44 AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.21.5 Project44 Recent Developments
11.22 FourKites
11.22.1 FourKites Corporation Information
11.22.2 FourKites Business Overview
11.22.3 FourKites AI Inventory Management Software Product Features and Attributes
11.22.4 FourKites AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.22.5 FourKites Recent Developments
11.23 Kinaxis Maestro
11.23.1 Kinaxis Maestro Corporation Information
11.23.2 Kinaxis Maestro Business Overview
11.23.3 Kinaxis Maestro AI Inventory Management Software Product Features and Attributes
11.23.4 Kinaxis Maestro AI Inventory Management Software Revenue and Gross Margin (2020-2025)
11.23.5 Kinaxis Maestro Recent Developments
12 AI Inventory Management SoftwareIndustry Chain Analysis
12.1 AI Inventory Management Software Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 AI Inventory Management Software Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global AI Inventory Management Software Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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