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Key Trends Reshaping the AI in Inventory Management Market: Cloud-Native AI-Powered Inventory Management Platforms Revolutionize Inventory Management Industry Transformation

07-30-2025 09:04 AM CET | IT, New Media & Software

Press release from: The Business Research Company

AI in Inventory Management

AI in Inventory Management

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AI in Inventory Management Market Size Growth Forecast: What to Expect by 2025?
The Artificial Intelligence (AI) in the inventory management sector has seen considerable growth in its market size over recent years. Anticipated to increase from a value of $7.38 billion in 2024 to $9.6 billion in 2025, the market projects a compound annual growth rate (CAGR) of 30.1%. Factors attributed to this robust growth in the previous period include improved customer experience, data-infused decision-making, wider adoption of digital solutions, uptick in productivity, and flexible readjustments of reorder points.

How Will the AI in Inventory Management Market Size Evolve and Grow by 2029?
The market size for AI in inventory management is predicted to experience a substantial surge in the upcoming years, eventually expanding to $27.23 billion by 2029 at a compound annual growth rate (CAGR) of 29.8%. This predicted growth during the forecast period is largely due to factors such as the increasing number of retail outlets, the escalating significance and potential influence of AI, burgeoning business necessities, the rising complexity and unpredictability of supply chains, and the growing abundance of data. The forthcoming period will also witness major trends such as advancements in technology, incorporation of blockchain, integration of augmented reality, a rise in demand for AI-driven robots in storage facilities, and AI-facilitated inventory forecasting.

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What Drivers Are Propelling the Growth of AI in Inventory Management Market Forward?
The escalation in the count of retail outlets is projected to spur the expansion of the AI in inventory management market in the future. Retail outlets are places where items are sold directly to customers in fairly small numbers for their personal use or consumption. The surge in the count of retail stores is due to factors including online and offline shopping trends, economic circumstances, consumer inclinations, and tactical business choices. AI's role in inventory management can notably bolster operational efficiency, curtail expenses, and enrich the overall customer shopping experience at retail stores. For example, in January 2024, as noted by the National Association of Convenience Stores, a trade association based in the United States, the operation count for convenience stores within the United States increased to 152,396 by 2024, depicting a 1.5% rise when compared to the figures from the previous year. As a result, the increase in the number of retail shops is fueling the progress of the AI in inventory management market.

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Which Emerging Trends Are Transforming the AI in Inventory Management Market in 2025?
Key players in the AI inventory management market are introducing sophisticated systems, like cloud-native AI-driven inventory management systems, to create a unique standing in the market. Cloud-native AI-driven inventory management solutions are software solutions specifically crafted to function in a cloud setting, utilizing cloud serverless computing technology to offer instant access to inventory data. For example, in January 2024, Predian, an American AI-powered inventory management solutions firm, unveiled a cloud-native AI-driven inventory management solution. The purpose of this solution is to simplify stock management and boost operational proficiency, marking a noteworthy advancement in the AI-powered inventory management realm. These solutions are capable of processing enormous data swiftly, precisely, and tirelessly, hence, they are deemed vital assets for companies aiming to enhance their inventory management procedures.

What Are the Key Segments in the AI in Inventory Management Market?
The AI in inventory management market covered in this report is segmented -

1) By Offering: Solutions, Services
2) By Deployment: Cloud, On-premise
3) By Technology: Machine Learning, Natural Language Processing, Context Awareness, Computer Vision, Other Technologies
4) By Application: Intelligent Robotic Sorting Or Visual Inspection, Warehouse Management, Supply Chain Planning, Risk Management Or Network Management, Freight Brokerage, Fleet Management, Intelligent Route Optimization, Predictive Demand And Capacity Planning, Other Applications
5) By End-User Industries: Retail, Healthcare, Automotive, Oil And Gas, Aerospace And Defense, Other End-Use Industries

Subsegments:
1) By Solutions: AI-Based Inventory Forecasting, AI-Based Demand Planning, AI-Based Stock Replenishment, AI-Based Warehouse Management
2) By Services: Consulting Services, Integration Services, Support And Maintenance Services

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Who Are the Key Players Shaping the AI in Inventory Management Market's Competitive Landscape?
Major companies operating in the AI in inventory management market report are Walmart Inc.; Amazon.com Inc.; Microsoft Corporation; United Parcel Service Inc.; FedEx Corporation; A.P. Moller-Maersk Group; Siemens AG; Hitachi Ltd.; Intel Corporation; Plc; International Business Machines Corporation; Cisco Systems Inc.; Deloitte Touche Tohmatsu Limited; Oracle Corporation; PricewaterhouseCoopers International Limited; Schneider Electric SE; Honeywell International Inc.; KPMG International Cooperative; SAP SE; Tata Consultancy Services Limited; NVIDIA Corporation; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; Wipro Limited

What Geographic Markets Are Powering Growth in the AI in Inventory Management Market?
North America was the largest region in the AI in inventory management market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in inventory management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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4.Consultants & Analysts - To support market entry, expansion strategies, and client advisory work.

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