The UAE Artificial Intelligence in Retail Market was valued at $122.1 Million in 2024 and projected to reach to $947.9 Million by 2029, representing a compound annual growth rate of 40.7%. The UAE artificial intelligence in retail market is poised for unprecedented expansion, driven by the nation's commitment to digital innovation and smart retail infrastructure.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
UAE's AI in retail market is projected to grow from $122.1 million in 2024 to $947.9 million by 2029, representing a 40.7% CAGR that significantly exceeds the global average of 32%.
The UAE government's Vision 2030 and smart city initiatives are accelerating AI adoption in retail, positioning the nation as a regional technology hub for innovative retail solutions.
As a gateway between East and West, UAE's retail sector leverages AI for personalized customer experiences, inventory optimization, and omnichannel integration across luxury and mainstream segments.
Major retailers and e-commerce platforms in Dubai and Abu Dhabi are investing heavily in AI-powered analytics, chatbots, and automated supply chain management systems.
| Report Metric | Details |
|---|---|
| Base Year | 2024 |
| Fastest Growing Segment | HEALTHCARE & LIFE SCIENCES (Vertical) |
| Forecast Period | 2024-2029 |
| Growth Rate | CAGR of 32% from 2024 to 2029 |
| Largest Segment | MACHINE LEARNING (Technology) |
| Market Size Base Year (Billions) | ~USD 31.14 (2024) |
| Revenue Forecast (Billions) | ~USD 124.8 (2029) |
| Segments Covered | Offering, Solution, Service, Professional Service, Type, Business Function, End User, Offline, Channel Type, Technology, Vertical, Application, Product Type |
13 segment dimensions are covered across the global market.
The UAE artificial intelligence in retail market was valued at $122.1 million in 2024 and is expected to reach $947.9 million by 2029.
The UAE AI in retail market is growing at a compound annual growth rate (CAGR) of 40.7% from 2024 to 2029.
Key drivers include the UAE's advanced digital infrastructure, government AI initiatives, high consumer spending, tech-savvy population, and competitive retail landscape demanding omnichannel experiences.
The UAE retail sector is adopting AI-powered chatbots, recommendation engines, computer vision systems, inventory management solutions, and customer analytics platforms.
The UAE's 40.7% CAGR significantly exceeds the global average of 32%, positioning the UAE as a high-growth market for AI retail solutions.
The research study involved four major activities in estimating the AI in retail market size. Exhaustive secondary research has been done to collect important information about the market and peer markets. The next step has been to validate these findings and assumptions and size them with the help of primary research with industry experts across the value chain. Both top-down and bottom-up approaches have been used to estimate the market size. Post which the market breakdown and data triangulation have been adopted to estimate the market sizes of segments and sub-segments.
The market size of the companies offering AI in retail solutions to various end users was arrived at based on the secondary data available through paid and unpaid sources and by analyzing the product portfolios of major companies in the ecosystem and rating the companies based on their performance and quality. In the secondary research process, various sources were referred to identify and collect information for the study. The secondary sources included annual reports, press releases, investor presentations of companies, white papers, journals, certified publications, and articles from recognized authors, directories, and databases.
Secondary research was mainly used to obtain critical information about industry insights, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market-oriented and technology-oriented perspectives.
In the primary research process, various sources from the supply and demand sides were interviewed to obtain qualitative and quantitative information for the report, Such as Chief Experience Officers (CXOs), Vice Presidents (VPs), directors from business development, marketing, and product development/innovation teams, and related key executives from AI in retail solutions vendors, system integrators, professional and managed service providers, industry associations, independent consultants, and key opinion leaders.
Primary interviews were conducted to gather insights, such as market statistics, data on revenue collected from platforms and services, market breakups, market size estimations, market forecasts, and data triangulation. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Finance Officers (CFOs), Chief Strategy Officers (CSOs), and the installation team of end users who use AI in retail solutions, were interviewed to understand buyers’ perspectives on suppliers, products, service providers, and their current usage of AI in retail solutions which is expected to affect the overall AI in retail market growth.
Note 1: Tier 1 companies have revenues over USD 1 billion, Tier 2 companies range between USD 500 million and 1 billion in overall revenues, and Tier 3 companies have revenues less than USD 500 million.
Other designations include sales managers, marketing managers, and product managers.
Source: Industry Experts
To know about the assumptions considered for the study, download the pdf brochure
Both top-down and bottom-up approaches were used to estimate and validate the total size of the AI in retail market. These methods were also used extensively to estimate the size of various subsegments in the market. The research methodology used to estimate the market size includes the following:

After arriving at the overall market size from the above estimation process, the AI in retail market has been split into several segments and sub-segments. To complete the overall market engineering process and arrive at the exact statistics for all segments and sub-segments, data triangulation and market breakdown procedures have been used, wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The AI in retail market size has been validated using top-down and bottom-up approaches.
AI in retail is the use of artificial intelligence algorithms and technologies, such as computer vision, natural language processing, and machine learning, in various aspects of the retail industry. Using artificial intelligence helps to improve the operations’ efficiency, enhance decision-making processes, drive business growth, and improve overall customer experience. AI helps retailers understand customer behavior, optimize supply chains, and improve overall operational efficiency.
With the given market data, MarketsandMarkets offers customizations per the company’s specific needs. The following customization options are available for the report:
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