Global AI Driven Retail Automation Software Market Growth (Status and Outlook) 2025-2031

The global AI Driven Retail Automation Software market size is predicted to grow from US$ 398 million in 2025 to US$ 972 million in 2031; it is expected to grow at a CAGR of 16.0% from 2025 to 2031.

AI Driven Retail Automation Software is an intelligent system that uses artificial intelligence technologies such as machine learning, data analysis, and predictive algorithms to optimize retail inventory management. It helps retailers reduce inventory backlogs, avoid out-of-stocks, improve operational efficiency, and optimize supply chain management by monitoring inventory levels in real time, analyzing sales data, predicting demand trends, and automating replenishment decisions. The software is widely used in physical retail stores, e-commerce platforms, and supermarket chains to achieve precise and intelligent inventory control.

United States market for AI Driven Retail Automation Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI Driven Retail Automation Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI Driven Retail Automation Software is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI Driven Retail Automation Software players cover Oracle, Google Cloud, Zebra Technologies, SAS Institute, SymphonyAI, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI Driven Retail Automation Software Industry Forecast” looks at past sales and reviews total world AI Driven Retail Automation Software sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Driven Retail Automation Software sales for 2025 through 2031. With AI Driven Retail Automation Software sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Driven Retail Automation Software industry.

This Insight Report provides a comprehensive analysis of the global AI Driven Retail Automation Software landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Driven Retail Automation Software portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Driven Retail Automation Software market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Driven Retail Automation Software and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Driven Retail Automation Software.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Driven Retail Automation Software market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud-based
On-premises

Segmentation by Application:
Convenience Stores
Large Supermarkets
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Oracle
Google Cloud
Zebra Technologies
SAS Institute
SymphonyAI
Trax Retail
RELEX Solutions
Centric
Pensa Systems
Shelf Engine
Focal Systems
LEAFIO AI
traceCORE
ShelfView
Chooch

Please note: The report will take approximately 2 business days to prepare and deliver.