AI-Powered Virtual Shopping Assistants Market Size Worth USD 12,569.38 Million by 2034 | CAGR: 26.0%

The global AI-powered virtual shopping assistants market size is expected to reach USD 12,569.38 million by 2034, according to a new study by Polaris Market Research. The report “AI-Powered Virtual Shopping Assistants Market Size, Share, Trends, Industry Analysis Report: By Deployment (Cloud, On-Premises, and Hybrid), Technology, Industry Vertical, and Region (North America, Europe, Asia Pacific, Latin America, and Middle East & Africa) – Market Forecast, 2025 - 2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.

The AI-powered virtual shopping assistants market is rapidly transforming the retail and e-commerce industries. These assistants leverage artificial intelligence (AI) to enhance customer experiences, streamline purchasing decisions, and drive sales. These intelligent assistants use natural language processing (NLP), machine learning (ML), and data analytics to provide personalized recommendations, answer customer queries, and facilitate seamless shopping experiences across digital and physical retail environments.

AI-powered virtual shopping assistants are being deployed across various platforms, including e-commerce websites, mobile apps, social media, and even in-store kiosks. They assist customers by offering product suggestions based on browsing history, answering FAQs, processing orders, and handling post-purchase support.

Do you have any questions? Would you like to request a sample or make an inquiry before purchasing this report? Simply click the link below: https://www.polarismarketresearch.com/industry-analysis/ai-powered-virtual-shopping-assistants-market/request-for-sample

The rising demand for personalized shopping experiences is propelling the AI-powered virtual shopping assistants market growth. People now prefer tailored recommendations that align with their preferences, past purchases, and browsing behavior. AI-powered shopping assistants analyze vast amounts of customer data such as purchase history, demographic information, and real-time interactions to deliver highly relevant product suggestions, thereby encouraging their adoption across e-commerce platforms and retail outlets.

AI-Powered Virtual Shopping Assistants Market Report Highlights

• In terms of deployment, the cloud segment accounted for 62% of AI-powered virtual shopping assistants market revenue share in 2024 due to its scalability, cost-efficiency, and ease of integration with existing e-commerce platforms.
• Based on industry vertical, the e-commerce segment led the market with ~ 38% revenue share. E-commerce businesses are aggressively adopting intelligent shopping technologies to enhance user experience, increase conversion rates, and reduce cart abandonment. The retail segment is projected to grow at a rapid pace, driven by the integration of AI into physical stores and omnichannel retail strategies.
• North America held the largest AI-powered virtual shopping assistants market share, accounting for approximately 41% of the total revenue. The region benefited from the early adoption of advanced AI technologies, high digital literacy, and a well-established e-commerce ecosystem.
• The market in Asia Pacific is estimated to grow at a rapid pace during the forecast period. Countries such as China, India, and Japan are driving this expansion through rapid digitalization, growing 5G smartphone penetration, and an increasing number of online shoppers.
• Some of the global key market players are Amazon, App0, Claros, eBay Inc., H&M Hennes & Mauritz AB, Manifest AI, Observe.AI, Perplexity, SoftServe Inc., Tidio AI, Verloop, and Walmart Inc.

Polaris Market Research has segmented AI-powered virtual shopping assistants market report based on deployment, technology, industry vertical, and region:

By Deployment Outlook (Revenue, USD Million, 2020-2034)

• Cloud
• On-Premises
• Hybrid

By Technology Outlook (Revenue, USD Million, 2020-2034)

• Natural Language Processing (NLP)
• Machine Learning (ML) & Deep Learning
• Voice Recognition
• Others

By Industry Vertical Outlook (Revenue, USD Million, 2020-2034)

• E-Commerce
• Retail
• Consumer Goods
• Electronics
• Automotive
• Healthcare
• Others

By Regional Outlook (Revenue, USD Million, 2020-2034)

• North America
  • US
  • Canada
• Europe
  • Germany
  • France
  • UK
  • Italy
  • Spain
  • Netherlands
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • Malaysia
  • South Korea
  • Indonesia
  • Australia
  • Vietnam
  • Rest of Asia Pacific
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Israel
  • South Africa
  • Rest of Middle East & Africa
• Latin America
  • Mexico
  • Brazil
  • Argentina
  • Rest of Latin America