The artificial intelligence (AI) in retail market size is expected to see exponential growth in the next few years. It will grow to $57.06 billion in 2030 at a compound annual growth rate (CAGR) of 30%. The growth in the forecast period can be attributed to expansion of omnichannel retail strategies, rising investment in AI-powered analytics, growing demand for real-time consumer insights, increasing automation of retail operations, scalability of cloud-native ai solutions. Major trends in the forecast period include hyper-personalized customer engagement, real-time inventory optimization, AI-driven dynamic pricing strategies, computer vision-enabled in-store analytics, conversational commerce adoption.
The digital transformation in the retail industry is expected to propel the growth of artificial intelligence (AI) in the retail market going forward. Digital transformation refers to the comprehensive and strategic integration of digital technologies, processes, and capabilities across various aspects of an organization. Retailers globally are adopting digital processes and enhancing customer experiences, resulting in an increased demand for AI solutions. This integration of AI in retail, driven by the imperative of digital transformation, fosters innovation in tasks such as automation, personalized marketing, and trend prediction, improving operational efficiency and providing insights into customer behavior. For instance, in January 2024, according to a survey of 400 respondents conducted by NVIDIA Corporation, a US-based manufacturing and technology company, 69% of retailers reported increased annual revenue with AI adoption, 72% experienced lower operating costs, and over 60% plan to boost AI investments in the next 18 months. Therefore, the digital transformation in the retail industry is driving the growth of artificial intelligence (AI) in the retail market.
Major companies operating in the artificial intelligence (AI) retail market are developing advanced technologies, such as cloud-based solutions, to drive innovation and enhance efficiency in the retail sector. Cloud-based solutions refer to computing services, including storage, processing, and software applications, that are delivered over the internet (cloud) instead of relying on local servers or traditional computing infrastructure. For instance, in October 2023, Flipkart Private Limited, an India-based e-commerce company, launched Flipkart Commerce Cloud, which aims to help retailers across the world grow their businesses and solve business needs through intelligent and AI-driven solutions. This platform offers retail technology solutions for international retailers, marketplaces, and e-commerce platforms. The suite of solutions includes a complete marketplace technology stack, retail media solution, pricing solution, inventory management, and forecasting solutions, all built using artificial intelligence and machine learning.
In July 2023, ServiceNow Inc., a US-based provider of digital workflow solutions, acquired G2k Group Gmbh for approximately $0.5 billion. This acquisition is aimed at boosting ServiceNow's AI capabilities and broadening its footprint in the retail IoT sector, enabling the development of an AI-powered end-to-end workflow solution on the ServiceNow platform that connects real-time data and intelligence, ultimately transforming retail experiences and creating opportunities across diverse industries. G2k Group Gmbh is a Germany-based cutting-edge technology company specializing in artificial intelligence (AI) and IoT solutions for the retail industry.
Major companies operating in the artificial intelligence (AI) in retail market are Alphabet Inc, Microsoft Corporation, Amazon.com Inc, International Business Machines Corporation, Oracle Corporation, SAP SE, NVIDIA Corporation, Salesforce Inc, Baidu Inc, C3.ai Inc, Databricks, Dataiku, Shopify Inc, Ocado Group, Trigo, Standard AI, Trax, ViSenze, Bloomreach Inc, Featurespace, Interactions LLC, Symbotic Inc, RetailNext, Pathr.ai, Graymatics, Focal Systems, Afresh Technologies, Standard Cognition, Brain Corp, Cortexica Vision Systems.
North America was the largest region in the artificial intelligence (AI) in retail market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in retail market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI) in retail market report are Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
The artificial intelligence (AI) in retail market includes revenues earned by entities by predictive analytics, personalized marketing, recommendation engines, fraud detection, visual search and recognition. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in retail market consists of sales of computer vision, voice commerce, dynamic pricing systems, and augmented reality (AR) systems. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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.
This product will be delivered within 1-3 business days.
Table of Contents
Executive Summary
Artificial Intelligence (AI) in Retail Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) in retail market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Reasons to Purchase::
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for artificial intelligence (ai) in retail? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in retail market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Component: Solution; Service2) By Technology: Machine Learning; Natural Language Processing; Chatbots; Image and Video Analytics; Swarm Intelligence
3) By Deployment: Cloud; on-Premise
4) By Channel: Omnichannel; Brick and Mortar; Pure-Play Online Retailers
5) By Application: Customer Relationship Management; Supply Chain and Logistics in-Store; Navigation Inventory Management; Product Optimization; Payment and Pricing Analytics
Subsegments:
1) By Solution: Predictive Analytics; Customer Relationship Management (CRM); Inventory Management; Visual Search; Personalization Engines; Fraud Detection2) By Service: Consulting Services; Implementation Services; Support and Maintenance; Managed Services
Companies Mentioned: Alphabet Inc; Microsoft Corporation; Amazon.com Inc; International Business Machines Corporation; Oracle Corporation; SAP SE; NVIDIA Corporation; Salesforce Inc; Baidu Inc; C3.ai Inc; Databricks; Dataiku; Shopify Inc; Ocado Group; Trigo; Standard AI; Trax; ViSenze; Bloomreach Inc; Featurespace; Interactions LLC; Symbotic Inc; RetailNext; Pathr.ai; Graymatics; Focal Systems; Afresh Technologies; Standard Cognition; Brain Corp; Cortexica Vision Systems
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Artificial Intelligence (AI) in Retail market report include:- Alphabet Inc
- Microsoft Corporation
- Amazon.com Inc
- International Business Machines Corporation
- Oracle Corporation
- SAP SE
- NVIDIA Corporation
- Salesforce Inc
- Baidu Inc
- C3.ai Inc
- Databricks
- Dataiku
- Shopify Inc
- Ocado Group
- Trigo
- Standard AI
- Trax
- ViSenze
- Bloomreach Inc
- Featurespace
- Interactions LLC
- Symbotic Inc
- RetailNext
- Pathr.ai
- Graymatics
- Focal Systems
- Afresh Technologies
- Standard Cognition
- Brain Corp
- Cortexica Vision Systems
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | January 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 20 Billion |
| Forecasted Market Value ( USD | $ 57.06 Billion |
| Compound Annual Growth Rate | 30.0% |
| Regions Covered | Global |
| No. of Companies Mentioned | 31 |


