AI in Retail Market size was valued at USD 7.25 billion in 2023 and is set to cross USD 237.81 billion by 2036, registering more than 30.8% CAGR during the forecast period i.e., between 2024-2036. In the year 2024, the industry size of AI in retail is evaluated at USD 9.04 billion. The growth of the market can be attributed largely to the increasing investments in AI technology for developing innovative applications centered at improving retail customer experience. Along with this, growing funding in several applications of artificial intelligence including machine learning, deep learning, advanced analytics and object recognition, is also expected to drive market growth in the upcoming years. In 2019, the total funding allocated to machine learning around the world was approximately USD 30 billion. The budgets for ML programs are calculated to grow by more than 25 percent as of now. Furthermore, benefits of AI in retail such as enhanced customer experience, effective promotion and merchandising, and lower cost-to-serve are projected to offer lucrative opportunities to the market in the near future. Rising advent of new business models and advancements in data science are also predicted to result in furthering the expansion of market.
Growth Drivers
Challenges
Base Year |
2023 |
Forecast Year |
2024-2036 |
CAGR |
30.8% |
Base Year Market Size (2023) |
USD 7.25 billion |
Forecast Year Market Size (2036) |
USD 237.81 billion |
Regional Scope |
|
The market is segmented by application into supply chain and logistics, product optimization, in-store navigation, payment and pricing analytics, inventory management, and customer relationship management. Out of these, the product optimization segment is anticipated to hold the largest share in the global AI In retail market on account of the rising emphasis of companies on product recommendation and planning, and growing advancements in big data analytics. Moreover, on the basis of technology, the segment for natural language processing is assessed to grab the largest share during the forecast period owing to the increase in funding to leverage voice-based technologies for developing interactive online and in-store conversational AI platforms. In addition, integration of chatbots with social media platforms is also evaluated to boost the growth of the market segment in the future.
Our in-depth analysis of the global market includes the following segments
By Technology |
|
By Component |
|
By Deployment
|
|
By Application
|
|
On the basis of geographical analysis, the global market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America and the Middle East & Africa region. The market in Asia Pacific is estimated to witness noteworthy growth over the forecast period on the back of the increasing number of retail companies in the region taking up AI-oriented initiatives. Apart from this, rising adoption of intelligent algorithms among retailers to analyze consumer behavior, and growing use of chatbots for providing personalized shopping experience are also expected to drive the region’s market growth. For instance, in 2019 more than 10 percent people used chatbots in India, holding the second position among countries with the highest number of chatbot users worldwide. Additionally, the market in North America is projected to acquire the largest share during the forecast period in view of the escalating deployment of AI based solutions in supply chain operations and inventory, and strong presence of prominent AI retail companies in the region.
January 2021- Google announced the launch of Product Delivery Solutions for Retail, which is a suite of services designed for improving retailers’ eCommerce capabilities and help them discover personalized customer experience.
Author Credits: Abhishek Verma
Copyright © 2024 Research Nester. All Rights Reserved
FREE Sample Copy includes market overview, growth trends, statistical charts & tables, forecast estimates, and much more.
Have questions before ordering this report?