E-Commerce Surge Fuels Growth Of The Generative AI in Retail Stores Market: A Key Factor Shaping the Future of the Generative Artificial Intelligence (AI) In Retail Stores Market in 2025

What market dynamics are playing a key role in accelerating the growth of the generative artificial intelligence (ai) in retail stores market?
The increase in e-commerce is anticipated to catalyze the progression of generative artificial intelligence (AI) in the retail stores market. E-commerce, which involves buying and selling goods and services over the Internet through websites, mobile apps, and other online channels, has been witnessing soaring demand due to reasons like high internet penetration, preference for online shopping, and 24-hour availability. Generative AI leverages consumer data and market trends to tailor product recommendations, streamline content creation, and enhance pricing and inventory management. By providing real-time support and responses, AI-enabled chatbots and virtual assistants heighten customer service and operational efficiency. For example, the Census Bureau of the Department of Commerce, a government entity based in the US, reported in May 2024 that retail e-commerce sales for the first quarter of 2024 saw a 2.1% rise as compared to the last quarter of 2023. Consequently, the burgeoning e-commerce industry is fueling the expansion of generative artificial intelligence (AI) in the retail stores market.

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How will the growth rate of the generative artificial intelligence (ai) in retail stores market shape industry trends by 2034?
In recent times, there has been a significant expansion in the market size of generative artificial intelligence (AI) in retail stores. The market that was valued at $1.18 billion in 2024 is projected to escalate to $1.35 billion in 2025, marking a compound annual growth rate (CAGR) of 14.5%. Factors such as the growing accessibility to vast datasets, rising interest in customised customer experiences, progress in computational capabilities, increased use of e-commerce platforms, and the pioneering adoption of AI by top retailers have contributed to the notable growth during the historical period.

The market size of generative artificial intelligence (AI) in retail stores is projected to expand swiftly in the upcoming years, reaching $2.3 billion in 2029 with a compound annual growth rate (CAGR) of 14.2%. This predicted growth in the forecast period is owing to the proliferation of AI-enhanced voice and visual search features, advancements in fairness and ethics of AI, increased investment in AI-based research and development, the emergence of augmented reality (AR) and virtual reality (VR) applications, and the heightened consumer demand for highly personalized experiences. Key trends within the forecast period encompass the introduction of bespoke shopping experiences, amalgamation of AI with AR and VR, improvements in customer sentiment analysis in real-time, the emergence of self-governing retail technologies, and the enhancement of AI-facilitated predictive analytics for sales forecasting.

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What trends are poised to drive the future success of the generative artificial intelligence (ai) in retail stores market?
Leading businesses in the generative AI for retail market are leveraging AI-based virtual agents to boost customer service, fine-tune stock management, and simplify operations. Virtual agents powered by AI are software tools that mimic human interactions using artificial intelligence. They address customer queries, suggest products, provide instant assistance, and mechanize tasks, improving shopping personalization and efficiency. For instance, in March 2024, US-based Talkdesk Inc., an innovator in AI-assisted customer service solutions, introduced Talkdesk Autopilot. This autonomous platform, devoid of human interference, efficiently handles routine customer queries regarding order status, cancellations, and delivery timings. With built-in workflows, Autopilot empowers retailers to promptly resolve recurrent customer problems, eliminating the requirement for intensive training or custom model creation. Autopilot ensures unfettered access to order specifics, delivery timings, and customer accounts, facilitating efficient automation of multiple tasks such as amending shipping addresses and rearranging deliveries. Functioning across digital and voice platforms, and providing 24/7 customer assistance, Autopilot notably reduces the demand for live agent intervention, subsequently elevating the standard of customer service in retail.

Which primary segments of the generative artificial intelligence (ai) in retail stores market are driving growth and industry transformations?
The generative artificial intelligence (AI) in retail stores market covered in this report is segmented -

1) By Component: Software, Services
2) By Deployment: Cloud, On-Premise
3) By Application: Demand Forecasting And Inventory Management, Personalized Customer Experiences, Dynamic Pricing Strategies, Visual Merchandising Optimization, Chatbots For Customer Support, Fraud Detection And Security

Subsegments:
1) By Software: Inventory Management Solutions, Customer Relationship Management (CRM) Tools, Personalized marketing Platforms, Virtual Fitting Room Applications, Pricing Optimization Software, Predictive Analytics For Sales Forecasting, Automated Checkout Solutions
2) By Services: Implementation And Integration Services, Consulting Services For AI Strategy, Training And Support Services, Data Analytics And Insights Services, Managed Services For AI Operations, Custom Software Development Services.

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Which geographical regions are pioneering growth in the generative artificial intelligence (ai) in retail stores market?
North America was he largest region in the generative artificial intelligence (AI) in retail stores market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative artificial intelligence (AI) in retail stores market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the influential players reshaping the generative artificial intelligence (ai) in retail stores market landscape?
Major companies operating in the generative artificial intelligence (AI) in retail stores market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, NVIDIA Corporation, Salesforce Inc., TATA Consultancy Services Limited, Adobe Inc., Wayfair Inc., Zebra Technologies Corporation, SAS Institute Inc., Blue Yonder Inc., Quantiphi Inc., Talkdesk Inc., Everseen, Algolia Inc., Persado Inc., RetailNext Inc., Klevu Oy

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What Is Covered In The Generative Artificial Intelligence (AI) In Retail Stores Global Market Report?

•Market Size Forecast: Examine the generative artificial intelligence (ai) in retail stores market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the generative artificial intelligence (ai) in retail stores market for a structured understanding.
•Key Players Overview: Analyze major players in the generative artificial intelligence (ai) in retail stores market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative artificial intelligence (ai) in retail stores market.
•Segment Contributions: Evaluate how different segments drive overall growth in the generative artificial intelligence (ai) in retail stores market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative artificial intelligence (ai) in retail stores market.
•Industry Challenges: Identify potential risks and obstacles affecting the generative artificial intelligence (ai) in retail stores market.
•Competitive Landscape: Review strategic developments in the generative artificial intelligence (ai) in retail stores market, including expansions, agreements, and new product launches.

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