The Applied AI In Retail And E-Commerce Market is being driven by Surging demand for hyper-personalization and enhanced customer experience
The Applied AI In Retail And E-Commerce Market is expected to grow at a CAGR of 28.6% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 77564.5 million. The retail industry is undergoing a significant transformation through the adoption of generative AI technology. This advanced form of artificial intelligence goes beyond the predictive capabilities of traditional machine learning, enabling the creation of novel content, fostering conversational commerce, and delivering unparalleled hyper-personalization. Retailers are harnessing this technology to revolutionize customer engagement, with conversational AI being a prominent application. Sophisticated virtual assistants and chatbots are being deployed to enhance the online shopping experience, answer complex product queries, and provide tailored recommendations, thereby streamlining internal content workflows and enhancing overall customer satisfaction.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 28.6% |
Market growth 2025-2029 |
USD 77564.5 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
27.0 |
Key countries |
US, China, Germany, India, Canada, UK, Japan, France, Australia, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the retail and e-commerce sector, machine learning and deep learning technologies are revolutionizing operations. Retail analytics dashboards and e-commerce data mining leverage customer data platforms for personalized experiences. AI ethics and data privacy regulations are crucial, with bias mitigation and explainable AI ensuring responsible implementation. AI model deployment in the cloud or at the edge enhances retail efficiency and e-commerce website optimization. Data visualization tools and business intelligence dashboards provide insights for marketing campaign, promotional offer, and store layout optimization. Pricing strategies, inventory management, customer churn prediction, and online shopper behavior analysis are also optimized using AI. Retail sales prediction and in-store experience optimization complete the transformation.
In the dynamic retail and e-commerce landscape, AI-driven technologies are revolutionizing the customer experience. Applied AI, including ai-powered recommendation engines and computer vision retail, is transforming e-commerce personalization. These advanced technologies enable predicting customer behavior, enhancing product discovery, and optimizing inventory management. Technavio's market analysis covers the global application software market, focusing on companies providing AI-driven retail and e-commerce solutions. This market segment encompasses enterprise and technical software, as well as cloud-based applications. Our calculations consider the combined revenue generated by these companies, contributing significantly to the overall IT software market growth.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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