AI in Retail Market 2019 Competitive Approach, Fundamental Trends and Investment up to 2024

The global artificial intelligence in retail market attained $720.0 million in 2018 and is predicted to witness a CAGR of 35.4% during 2019–2024 (forecast period). The factors contributing to the growth of the market include the increasing investments in AI by retail companies and expanding e-retail industry. With AI, retailers have been able to automate their work processes, study consumer behavior, and capture relevant data through the adoption of numerous advanced technologies, such as machine learning, natural language processing (NLP), and computer vision. 

On the basis of offering, the AI in retail market is bifurcated into solution and service. The category of solutions is projected to contribute higher revenue to the market during the forecast period due to their growing adoption by e-commerce enterprises in North America for providing better shopping experience to customers. This category is further divided into supply chain management, visual search, price optimization, customer relationship management, recommendation engine, chatbot, and others. Among these, the recommendation engine division is expected to register the highest CAGR during the forecast period.  

One of the key drivers of the AI in retail market is the expanding e-retail industry. It is growing due to the increasing internet penetration, popularity of alternate payment methods, rising adoption of smartphones, and surging investments in logistics. The incorporation of AI in operations has further contributed to the expansion of the e-retail market, as AI services and solutions help in enhancing the customer experience and satisfaction. Retail firms are greatly benefitted through the use of AI technologies, such as real-time customer intelligence, supply chain planning, and accurate demand forecasting. 

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The rising adoption of AI for multi-channel marketing is a major trend in the AI in retail market. By analyzing the large volume of data generated by e-mail marketing, campaign management, and in-store consumer behavior analysis, consumption patterns can be identified and personalized campaigns developed for better decision making. As AI supports these functions and can be used for automating repetitive tasks, such as labeling products and data entry, its application in multi-channel marketing helps in creating an intelligent blueprint of the data collected through several digital platforms. 

The increasing adoption of AI for multi-channel marketing and the expanding e-retail industry are thus leading to the growth of the market.

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Created on Jan 7th 2020 00:28. Viewed 287 times.

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