AI in Retail Market Expected to Reach US$29 Billion by 2028

AI in Retail market: Navigating opportunities, overcoming challenges, and embracing trends
AI in Retail Market Expected to Reach US$29 Billion by 2028

AI in Retail Market Prediction: The retail sector is at the cusp of a transformational change powered by AI’s rapid evolution. Whether it is in the form of personalized customer experience, predictive analytics, or fraud detection, Artificial Intelligence is redefining all stages of the retail journey. The AI in Retail market size was valued at US$7.33 billion in revenue in 2023 and is anticipated to reach US$29.33 billion by 2028, with a CAGR of 31.95% over the forecast period. The demand for personalization in shopping, the popularity of voice assistants and visual search, as well as the urgent need for inventory optimization and fraud detection, are among the key drivers influencing the industry.

Despite the favorable growth opportunities, the AI in Retail market has to overcome several obstacles and limitations. Data contribute to fragmentation and its quality, the lack of expertise in handling AI systems, financial expenses, and ethical dilemmas prevent mass integration of AI in the retail industry. The prevalence of the online segment, the growing focus on predictive analysis, and the changes in customer relationship management define the major market trends.

Driving Factors:

Several key driving factors are anticipated to boost the AI in Retail market’s growth:

Personalized Customer Experience:

Retailers using AI to track customers, purchase preferences, shopping patterns, and past history, among other things, can provide a more customized shopping experience. As a result, consumers will receive personalized product recommendations and advertisements, as well as promotional deals. For example, if a customer always buys running shoes, the retailer may assume that they are a runner and offer additional items such as sports pants, and so on. It may operate by increasing the relevance of a customer’s shopping experience because they see more tone signs and come back to purchase more.

Voice assistants:

Amazon’s Alexa and Google Assistant, popular voice assistants, are changing the way retail works. Voice-infused natural language processing allows consumers to interact with businesses in a hands-free, conversational way. The customer can search for products, put orders, look for your product’s arrival, and even get personalized guidance using voice commands. A new level of customer involvement allows them to engage with the brand more frequently. Even better, voice assistants might remember prior actions and provide even more personalized advice in the future. Thus, the experience improves.

Visual Search:

Utilizing AI-powered visual search technology, customers can search for products by uploading photos taken by their smartphones and other gadgets. Visual search uses visual signs such as form, color, or regularity to match comparable choices in the merchant’s inventory. Visual search makes it much easier for clients to discover items by permitting them to find things that are hard to describe in words. It is also suitable for any customer who is searching for a particular design or style of an item. The advantages to retailers are clear, since it provides a more efficient and natural search tool helping customers locate the items they want, it results in increased sales.

Optimization of Inventory:

AI-powered algorithms can analyze a significant range of influencing factors, including historical patterns, seasonal fluctuation, state of the market, or even external conditions like weather forecasts. Based on this, businesses are able to maintain the optimal balance of products in stock. Due to the fact AI can predict demand patterns more accurately, the numbers of stock-outs and overstock are minimized. As a result, most popular products are always available to the customers, and additional expenditures associated with overstocking, storing, and the cost of products that need to be marked down, are reduced. Moreover, more accurate predictions of future demand patterns imply that businesses can engage in more calculated and balanced purchasing. Pricing and promotion strategies can be adjusted with much lower chances of incorrect estimations, which leads to a higher overall sales volume and profit.

Fraud detection

AI-powered systems analyze the data of transactions as they happen and alert when some unusual patterns and activities seem to be fraudulent. This could be extremely large transactions, repeated erroneous login attempts, and differences in purchasing habits. In addition to minimizing financial losses, when detecting potential fraud and alerting the system, it also enhances the reputation of the company and trust from the side of clients. It shows the safety of conducting transactions using their platform.

Market Restraints

The key restraints and challenges in the Artificial Intelligence (AI) in Retail market include:

Lack of Data:

Data is AI’s lifeblood, but in retail, it is often, if not always, abundant and incoherent or restricted to the many programs and departments in the back rooms and offices. It’s genuinely difficult to obtain and combine relevant data required to help generate an AI model that is proficiently trained. For example, obtaining a comprehensive grasp of customer habits, likings and requirements, and buying history might be difficult. These are the most important sources of data that genuine, sensible AI-powered findings and suggestions can assess and construct. Data quality and cleanliness are also important. Bad, biased, or antique information might lead to AI models which are unreliable or untrustworthy, potentially disrupting customer experiences and company conduct, from retail recommendations to finance.

Lack of expertise:

Even though the potential of AI technology in the retail industry is immense, there is also a real lack of expertise in the AI field. Retailers do not always have enough trained personnel or resources to effectively develop, deploy, and maintain AI solutions. The lack of expertise could take several forms, such as inadequate knowledge in selecting the most proper AI technologies, integrating AI tools with existing systems, and optimizing AI algorithms for different retail cases. Finally, in the last two cases retailers are facing the same issue; the rapid evolution of AI technologies dictates a steep learning curve. Specifically, the ability of AI in retail is developing rapidly, meaning that retailers must invest significantly in training and development to adapt to new demands and opportunities.


One of the risks associated with AI implementation is its costs. For the retail sector, it is impossible to sustain the financial burden of integrating and managing AI solutions. Particularly needy in this type of support are small players in the market. The total cost of AI implementation includes hardware, software, and infrastructure expenditure, as well as training, customization, and the ongoing work of the AI system. In turn, the hidden costs of data storage, processing, and compliance with global and local requirements such as GDPR or CCPA can be challenging. This problem increases in situations when a company uses various sales channels or can meet a consumer at multiple touchpoints.

Ethical concerns:

Ethical Issues Ethical considerations are a major concern when it comes to the use of AI in retail. Privacy, transparency, and fairness are the primary ones. Retailers are collecting immense personal information, from purchase histories, browsing behaviors, and demographic data, to give a few examples. AI analyzes and utilizes this knowledge in various ways, including targeted advertising, recommended suggestions, and dynamic pricing, creating data protection or consumer consent concerns.


Additionally, AI algorithms can be biased in the data they were trained on and in the way they make decisions. Using biased algorithms can maintain and aggravate the existing inequality and discrimination, which may harm underprivileged groups and vulnerable populations. Therefore, the issue of the ethics of using AI is a serious concern for any retailer to be responsible in using this technology in accordance with consumers’ rights and societal values.

Market Trends

The Artificial Intelligence (AI) in Retail market is witnessing several key trends that are shaping its growth and development:

Online Retail Dominance:

As AI continued to infuse various aspects of life, online retail became dominant. Advanced AI-driven recommendation engines and dynamic pricing have incorporated new opportunities for firms to communicate with clients and make money online. The utilization of AI in analyzing vast quantities of information about customers’ unparalleled shopping experiences in targeting and customer engagement allows for a more profound connection with the consumer. Beyond that, the entire purchase experience has been optimized through AI technologies in various phases. AI search engines have the same capability to understand the demand. Such results are quickly and easily visible. AI-powered businesses enable individuals to feel good about how they buy by making the checkout procedure a breeze.

Predictive Analysis:

Predictive analysis is a vital brick in the modern retail strategy, allowing retailers to predict people’s future behaviors like never before. AI algorithms and machine learning help retailers uncover patterns in historical data more effectively, providing the needed information to guide decision-making on each level of the supply chain and marketing domain. Predictive analysis helps retailers forecast the demand and manage their inventory better, adjust prices, and segment customers to address their needs and expectations precisely. This way, retailers may make sure they are always leading in the right direction and offer the types of products and services their customers require.

Customer Relationship Management (CRM):

AI-driven CRM solutions are transforming the way retailers develop and maintain relationships with customers amid the digital transformation. These advanced solutions use AI algorithms to analyze extensive amounts of customer data from various sources to help retailers better understand individual preferences, behaviors, and interactions. As a result, retailers can personalize customer content and experiences across all communication channels and provide tailored recommendations, promotions, and services, all designed to meet each customer’s specific needs and preferences. Personalized experiences foster loyalty, advocacy, and lifetime value. AI-powered CRMs support growth and competitive advantage and continue to be part of an increasingly competitive landscape.


In conclusion, the future of AI in Retail market represents a dynamic landscape of opportunities and challenges. As retailers navigate the complexities of data integration, talent acquisition, and ethical considerations, they must remain vigilant in leveraging AI to its full potential. By addressing these challenges head-on and embracing emerging trends such as online dominance, predictive analysis, and AI-driven CRM, retailers can unlock new levels of operational efficiency, customer engagement, and growth. With the right strategies and investments, AI has the power to transform the retail industry, driving innovation, differentiation, and value creation for retailers and customers alike.


1. What is the future scope of AI in retail?

The future scope of AI in retail is extremely promising, with AI set to revolutionize various aspects of the industry in the coming years.

2. How is AI affecting the retail industry?

AI is transforming retail through hyper-personalization, optimized inventory management, enhanced customer service, and seamless omnichannel experiences, revolutionizing how businesses engage with customers and operate efficiently in the digital age.

3. Is AI taking over retail?

No, AI is not taking over retail, but rather transforming it in significant ways.

The threats of AI in retail include potential customer backlash, privacy and security risks due to vast data collection, job displacement through automation, algorithmic bias leading to discrimination, over-reliance on AI hindering critical decision-making, and the possibility of AI systems being exploited by criminals or hackers for data theft or manipulation.

5. How will AI transform retail?

AI will revolutionize retail by enabling personalized customer experiences, optimized operations, and enhanced product development. Retailers that embrace AI will gain a competitive edge and deliver better experiences to their customers.

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