Contact Us
  Search
The Business Research Company Logo
Global AI in Inventory Management Market Report 2026
Published :January 2026
Pages :150
Format :PDF
Delivery Time :2-3 Business Days
Why 2-3 days? We update the report with the latest data and news before delivery. Let us know if you need us to expedite.
Report Price :$4,490.00

AI in Inventory Management Market Report 2026

Global Outlook – By Offering (Solutions, Services), By Deployment (Cloud, On-premise), By Technology (Machine Learning, Natural Language Processing, Context Awareness, Computer Vision, Other Technologies), By Application (Intelligent Robotic Sorting Or Visual Inspection, Warehouse Management, Supply Chain Planning, Predictive Demand And Capacity Planning, Other Applications), By End-User Industries (Retail, Healthcare, Automotive, Aerospace And Defense, Other End-Use Industries) – Market Size, Trends, Strategies, and Forecast to 2035

AI in Inventory Management Market Overview

• AI in Inventory Management market size has reached to $9.54 billion in 2025 • Expected to grow to $30.01 billion in 2030 at a compound annual growth rate (CAGR) of 24.8% • Growth Driver: Rising Number Of Retail Stores Drives Growth In The AI Inventory Management Market • Market Trend: Cloud-Native AI-Powered Inventory Management Platforms Revolutionize Inventory Management • North America was the largest region in 2025 and Asia-Pacific is the fastest growing region.
Research Expert

Book your 30 minutes free consultation with our research experts

What Is Covered Under AI in Inventory Management Market?

Artificial intelligence (AI) in inventory management refers to using AI methods and tools to streamline supply chain processes related to inventory handling, tracking, and organization. It is used in various ways to optimize inventory management, including demand forecasting, real-time monitoring, smart replenishment, and inventory optimization. The main offerings of AI in inventory management are solutions and services. Solutions refer to homogeneous mixes made up of two or more substances uniformly distributed at the molecular or ionic level. It can be deployed in the cloud and on-premise. The different types of technologies include machine learning, natural language processing, context awareness, computer vision, and others, which are used for several applications such as 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, and others. It is used by various end-use industries including retail, healthcare, automotive, oil and gas, aerospace and defense and others.
AI in Inventory Management market report bar graph

What Is The AI in Inventory Management Market Size and Share 2026?

The AI in inventory management market size has grown exponentially in recent years. It will grow from $9.54 billion in 2025 to $12.36 billion in 2026 at a compound annual growth rate (CAGR) of 29.6%. The growth in the historic period can be attributed to manual inventory tracking, inefficiencies in supply chain operations, growth of e-commerce and retail, increasing demand for warehouse automation, rising adoption of enterprise resource planning (ERP) systems.

What Is The AI in Inventory Management Market Growth Forecast?

The AI in inventory management market size is expected to see exponential growth in the next few years. It will grow to $30.01 billion in 2030 at a compound annual growth rate (CAGR) of 24.8%. The growth in the forecast period can be attributed to advancements in machine learning and computer vision, integration of AI with supply chain management platforms, growing investment in predictive analytics tools, expansion of cloud-based inventory management solutions, increased focus on operational efficiency and cost reduction. Major trends in the forecast period include ai-based inventory forecasting, predictive demand and capacity planning, smart warehouse management, automated stock replenishment, intelligent route and fleet optimization.

Global AI in Inventory Management Market Segmentation

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, Predictive Demand And Capacity Planning, Other Applications 5) By End-User Industries: Retail, Healthcare, Automotive, 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

What Is The Driver Of The AI in Inventory Management Market?

The rising number of retail stores is expected to propel the growth of the AI in inventory management market going forward. Retail stores refer to establishments where goods are sold to consumers directly in relatively small quantities for their consumption or use. The rising number of retail stores is due to online and offline shopping, economic conditions, consumer preferences, and strategic business decisions. AI in inventory management can significantly improve operational efficiency, reduce costs, and enhance the overall customer shopping experience with retail stores. For instance, in January 2024, according to the National Association of Convenience Stores, a US-based trade association, the number of convenience stores operating in the United States until 2024 had risen to 152,396, reflecting a 1.5% growth compared to the previous year's count. Therefore, the rising number of retail stores is driving the growth of the AI in inventory management industry.

Key Players In The Global AI in Inventory Management Market

Major companies operating in the AI in inventory management market 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; Accenture 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 Are Latest Mergers And Acquisitions In The AI in Inventory Management Market?

In March 2023, Gather AI, a US-based software company, acquired Ware Inc. for an undisclosed amount. This acquisition allows Gather AI to offer its proven solution to more warehouses, enabling customers to leverage data insights from across its growing network to provide real-time inventory visibility through AI software. Ware Inc. is a US-based provider of AI-powered autonomous inventory management solutions.

Regional Insights

North America was the largest region in the AI in inventory management market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

Need data on a specific region in this market?

What Defines the AI in Inventory Management Market?

The AI in inventory management includes revenues earned by entities by providing services such as warehouse management, order fulfillment automation, real-time inventory tracking, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the AI in Inventory Management Market Report 2026?

The ai in inventory management market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the ai in inventory management industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.

AI in Inventory Management Market Report Forecast Analysis

Report Attribute Details
Market Size Value In 2026$12.36 billion
Revenue Forecast In 2035$30.01 billion
Growth RateCAGR of 29.6% from 2026 to 2035
Base Year For Estimation2025
Actual Estimates/Historical Data2020-2025
Forecast Period2026 - 2030 - 2035
Market RepresentationRevenue in USD Billion and CAGR from 2026 to 2035
Segments CoveredOffering, Deployment, Technology, Application, End-User Industries
Regional ScopeAsia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
Country ScopeThe countries covered in the report are Australia, Brazil, China, France, Germany, India, ...
Key Companies ProfiledWalmart Inc.; Amazon.com Inc.; Microsoft Corporation; United Parcel Service Inc.; FedEx Corporation; A.P. Moller-Maersk Group; Siemens AG; Hitachi Ltd.; Intel Corporation; Accenture 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
Customization ScopeRequest for Customization
Pricing And Purchase OptionsExplore Purchase Options
Chat with us