Product Code: GVR-4-68040-676-9
Virtual Shopping Assistant Market Summary
The global virtual shopping assistant market size was valued at USD 2.63 billion in 2024 and is projected to reach USD 18.77 billion by 2033, growing at a CAGR of 25.8% from 2025 to 2033. The virtual shopping assistant market is being propelled by the global shift toward mobile-first consumer behavior.
The growing demand for personalized shopping experiences is driving the virtual shopping assistant market growth. Consumers expect retailers to understand their preferences, anticipate their needs, and deliver tailored product recommendations. Virtual shopping assistants use artificial intelligence, natural language processing, and machine learning to analyze user behavior, purchase history, and contextual data to offer curated suggestions and relevant offers. This high level of personalization not only improves the user experience but also increases the likelihood of conversion, making these tools valuable assets for retailers aiming to boost engagement and revenue.
The rise of omnichannel retail strategies is also fueling demand for virtual shopping assistants. As brands seek to provide a seamless experience across online and offline touchpoints, virtual shopping assistants serve as the bridge that connects the two. For example, customers can use their phones to scan products in-store for additional information, check inventory availability, or even complete purchases without waiting in line. This integration of digital capabilities into the physical shopping journey helps retailers streamline operations, reduce friction, and increase convenience, thereby improving customer retention and loyalty.
Advancements in voice recognition and conversational AI are further expanding the scope of virtual shopping assistants. Voice-enabled shopping assistants allow users to search for products, compare prices, and place orders through simple voice commands. This hands-free interaction is particularly appealing in scenarios such as driving, multitasking, or assisting visually impaired users. As voice technology continues to improve in accuracy and natural language understanding, it will drive broader adoption of virtual shopping assistants across different demographic groups and usage contexts.
Moreover, the growing adoption of mobile payment systems and digital wallets drives the virtual shopping assistant market growth. As payment technologies such as Apple Pay, Google Pay, and region-specific apps like Paytm or Alipay become widely accepted, virtual shopping assistants are increasingly integrated with these platforms to offer a seamless end-to-end shopping experience. This integration reduces the friction of switching between apps or entering payment information manually, which boosts user satisfaction and increases transaction completion rates. The convenience of having product discovery, decision support, and payment all within one mobile interface reinforces the value proposition of virtual shopping assistants.
Furthermore, the increasing role of data analytics and predictive intelligence in retail is also accelerating the adoption of virtual shopping assistants. These assistants are being designed not only to respond to customer queries but also to proactively suggest products based on browsing history, location, time of day, weather conditions, or seasonal demand. Retailers are leveraging these data-driven insights to anticipate customer needs and deliver highly contextual, timely interactions that can influence purchase decisions. As the volume of consumer data continues to grow, virtual shopping assistants are becoming more intelligent and intuitive, transforming from reactive tools into proactive, personalized shopping companions.
Global Virtual Shopping Assistant Market Report Segmentation
This report forecasts revenue growth at global, regional, as well as at country levels and offers qualitative and quantitative analysis of the market trends for each of the segment and sub-segments from 2021 to 2033. For the purpose of this study, Grand View Research has segmented the global virtual shopping assistant market based on revenue type, age, income level, gender, shopping Assistant Type, and region.
- Revenue Type Outlook (Revenue, USD Billion, 2021 - 2033)
- Subscription-Based Model
- Paid App (One-Time Purchase)
- Per Purchase Model (Pay-As-You-Go)
- Advertising-Supported Model
- Others
- Age Outlook (Revenue, USD Billion, 2021 - 2033)
- Less than 18 Years
- Young Adults (18-35 Years)
- Middle-Aged Adults (35-55 Years)
- Older Adults (55+ Years)
- Income Level Outlook (Revenue, USD Billion, 2021 - 2033)
- High-Income
- Middle-Income
- Low-Income
- Gender Outlook (Revenue, USD Billion, 2021 - 2033)
- Women
- Men
- Shopping Assistant Type Outlook (Revenue, USD Billion, 2021 - 2033)
- Product Scanners
- Food Delivery Assistants
- Recipe and Meal Planning Assistants
- Nutrition and Calorie Tracking Assistants
- Allergen and Ingredient Trackers
- Price Comparison and Discount Finders
- Others
- Regional Outlook (Revenue, USD Billion, 2021 - 2033)
- North America
- Europe
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- Latin America
- Middle East & Africa
- UAE
- Saudi Arabia
- South Africa
Table of Contents
Chapter 1. Methodology and Scope
- 1.1. Market Segmentation and Scope
- 1.2. Research Methodology
- 1.2.1. Information Procurement
- 1.3. Information or Data Analysis
- 1.4. Methodology
- 1.5. Research Scope and Assumptions
- 1.6. Market Formulation & Validation
- 1.7. Country Based Segment Share Calculation
- 1.8. List of Data Sources
Chapter 2. Executive Summary
- 2.1. Market Outlook
- 2.2. Segment Outlook
- 2.3. Competitive Insights
Chapter 3. Virtual Shopping Assistant Market Variables, Trends, & Scope
- 3.1. Market Lineage Outlook
- 3.2. Market Dynamics
- 3.2.1. Market Driver Analysis
- 3.2.2. Market Restraint Analysis
- 3.2.3. Industry Challenge
- 3.3. Virtual Shopping Assistant Market Analysis Tools
- 3.3.1. Industry Analysis - Porter's
- 3.3.1.1. Bargaining power of the suppliers
- 3.3.1.2. Bargaining power of the buyers
- 3.3.1.3. Threats of substitution
- 3.3.1.4. Threats from new entrants
- 3.3.1.5. Competitive rivalry
- 3.3.2. PESTEL Analysis
- 3.3.2.1. Political landscape
- 3.3.2.2. Economic landscape
- 3.3.2.3. Social landscape
- 3.3.2.4. Technological landscape
- 3.3.2.5. Environmental landscape
- 3.3.2.6. Legal landscape
Chapter 4. Virtual Shopping Assistant Market Revenue Type Outlook
- 4.1. Virtual Shopping Assistant Market, By Revenue Type Analysis & Market Share, 2024 & 2033
- 4.2. Subscription-Based Model
- 4.2.1. Subscription-based model market estimates and forecasts, 2021 - 2033 (USD Billion)
- 4.3. Paid App (One-Time Purchase)
- 4.3.1. Paid app (one-time purchase) market estimates and forecasts, 2021 - 2033 (USD Billion)
- 4.4. Per Purchase Model (Pay-As-You-Go)
- 4.4.1. Per purchase model (pay-as-you-go) market estimates and forecasts, 2021 - 2033 (USD Billion)
- 4.5. Advertising-Supported Model
- 4.5.1. Advertising-supported model market estimates and forecasts, 2021 - 2033 (USD Billion)
- 4.6. Others
- 4.6.1. Others market estimates and forecasts, 2021 - 2033 (USD Billion)
Chapter 5. Virtual Shopping Assistant Market Income Level Outlook
- 5.1. Virtual Shopping Assistant Market, By Income Level Analysis & Market Share, 2024 & 2033
- 5.2. High-Income
- 5.2.1. High-income market estimates and forecasts, 2021 - 2033 (USD Billion)
- 5.3. Middle-Income
- 5.3.1. Middle-income market estimates and forecasts, 2021 - 2033 (USD Billion)
- 5.4. Low-Income
- 5.4.1. Low-income market estimates and forecasts, 2021 - 2033 (USD Billion)
Chapter 6. Virtual Shopping Assistant Market Age Outlook
- 6.1. Virtual Shopping Assistant Market, By Age Analysis & Market Share, 2024 & 2033
- 6.2. Less Than 18 Years
- 6.2.1. Less Than 18 Years market estimates and forecasts, 2021 - 2033 (USD Billion)
- 6.3. Young Adults (18-35 Years)
- 6.3.1. Young Adults (18-35 Years) market estimates and forecasts, 2021 - 2033 (USD Billion)
- 6.4. Middle-Aged Adults (33-55 Years)
- 6.4.1. Middle-Aged Adults (33-55 Years) market estimates and forecasts, 2021 - 2033 (USD Billion)
- 6.5. Older Adults (55+ Years)
- 6.5.1. Older Adults (55+ Years) market estimates and forecasts, 2021 - 2033 (USD Billion)
Chapter 7. Virtual Shopping Assistant Market Gender Outlook
- 7.1. Virtual Shopping Assistant Market, By Gender Analysis & Market Share, 2024 & 2033
- 7.2. Women
- 7.2.1. Women market estimates and forecasts, 2021 - 2033 (USD Billion)
- 7.3. Men
- 7.3.1. Men market estimates and forecasts, 2021 - 2033 (USD Billion)
Chapter 8. Virtual Shopping Assistant Market Shopping Assistant Type Outlook
- 8.1. Virtual Shopping Assistant Market, By Shopping Assistant Type Analysis & Market Share, 2024 & 2033
- 8.2. Product Scanners
- 8.2.1. Product scanners market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.3. Food Delivery Assistants
- 8.3.1. Food delivery assistants market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.4. Recipe and Meal Planning Assistants
- 8.4.1. Recipe and meal planning assistants market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.5. Nutrition and Calorie Tracking Assistants
- 8.5.1. Nutrition and calorie tracking assistants market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.6. Allergen and Ingredient Trackers
- 8.6.1. Allergen and ingredient tackers market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.7. Price Comparison and Discount Finders
- 8.7.1. Price comparison and discount finders market estimates and forecasts, 2021 - 2033 (USD Billion)
- 8.8. Others
- 8.8.1. Others market estimates and forecasts, 2021 - 2033 (USD Billion)
Chapter 9. Virtual Shopping Assistant Market: Regional Estimates & Trend Analysis
- 9.1. Virtual Shopping Assistant Market Share, By Region, 2024 & 2033, USD Billion
- 9.2. North America
- 9.2.1. North America Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.2.2. U.S.
- 9.2.2.1. U.S. Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.2.3. Canada
- 9.2.3.1. Canada Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.2.4. Mexico
- 9.2.4.1. Mexico Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.3. Europe
- 9.3.1. Europe Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.3.2. UK
- 9.3.2.1. UK Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.3.3. Germany
- 9.3.3.1. Germany Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.3.4. France
- 9.3.4.1. France Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.4. Asia Pacific
- 9.4.1. Asia Pacific Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.4.2. China
- 9.4.2.1. China Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.4.3. Japan
- 9.4.3.1. Japan Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.4.4. Australia
- 9.4.4.1. Australia Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.4.5. South Korea
- 9.4.5.1. South Korea Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.5. Latin America
- 9.5.1. Latin America Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.5.2. Brazil
- 9.5.2.1. Brazil Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.6. Middle East and Africa
- 9.6.1. Middle East and Africa Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.6.2. UAE
- 9.6.2.1. UAE Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.6.3. Saudi Arabia
- 9.6.3.1. Saudi Arabia Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
- 9.6.4. South Africa
- 9.6.4.1. South Africa Virtual Shopping Assistant Market Estimates and Forecasts, 2021 - 2033 (USD Billion)
Chapter 10. Competitive Landscape
- 10.1. Company Categorization
- 10.2. Company Market Positioning
- 10.3. Company Heat Map Analysis
- 10.4. Company Profiles/Listing
- 10.4.1. ShopSavvy
- 10.4.1.1. Participant's Overview
- 10.4.1.2. Financial Performance
- 10.4.1.3. Product Benchmarking
- 10.4.1.4. Strategic Initiatives
- 10.4.2. AliRadar
- 10.4.2.1. Participant's Overview
- 10.4.2.2. Financial Performance
- 10.4.2.3. Product Benchmarking
- 10.4.2.4. Strategic Initiatives
- 10.4.3. Amazon Rufus
- 10.4.3.1. Participant's Overview
- 10.4.3.2. Financial Performance
- 10.4.3.3. Product Benchmarking
- 10.4.3.4. Strategic Initiatives
- 10.4.4. ModeSens
- 10.4.4.1. Participant's Overview
- 10.4.4.2. Financial Performance
- 10.4.4.3. Product Benchmarking
- 10.4.4.4. Strategic Initiatives
- 10.4.5. MyFitnessPal
- 10.4.5.1. Participant's Overview
- 10.4.5.2. Financial Performance
- 10.4.5.3. Product Benchmarking
- 10.4.5.4. Strategic Initiatives
- 10.4.6. Noom
- 10.4.6.1. Participant's Overview
- 10.4.6.2. Financial Performance
- 10.4.6.3. Product Benchmarking
- 10.4.6.4. Strategic Initiatives
- 10.4.7. Digital Reality
- 10.4.7.1. Participant's Overview
- 10.4.7.2. Financial Performance
- 10.4.7.3. Product Benchmarking
- 10.4.7.4. Strategic Initiatives
- 10.4.8. Xcelore
- 10.4.8.1. Participant's Overview
- 10.4.8.2. Financial Performance
- 10.4.8.3. Product Benchmarking
- 10.4.8.4. Strategic Initiatives
- 10.4.9. Yuka
- 10.4.9.1. Participant's Overview
- 10.4.9.2. Financial Performance
- 10.4.9.3. Product Benchmarking
- 10.4.9.4. Strategic Initiatives
- 10.4.10. i95Dev.com
- 10.4.10.1. Participant's Overview
- 10.4.10.2. Financial Performance
- 10.4.10.3. Product Benchmarking
- 10.4.10.4. Strategic Initiatives
- 10.4.11. Rep AI Technologies
- 10.4.11.1. Participant's Overview
- 10.4.11.2. Financial Performance
- 10.4.11.3. Product Benchmarking
- 10.4.11.4. Strategic Initiatives
- 10.4.12. Manifest
- 10.4.12.1. Participant's Overview
- 10.4.12.2. Financial Performance
- 10.4.12.3. Product Benchmarking
- 10.4.12.4. Strategic Initiatives
- 10.4.13. Deepgram
- 10.4.13.1. Participant's Overview
- 10.4.13.2. Financial Performance
- 10.4.13.3. Product Benchmarking
- 10.4.13.4. Strategic Initiatives
- 10.4.14. Copilotly
- 10.4.14.1. Participant's Overview
- 10.4.14.2. Financial Performance
- 10.4.14.3. Product Benchmarking
- 10.4.14.4. Strategic Initiatives
- 10.4.15. HyperWrite
- 10.4.15.1. Participant's Overview
- 10.4.15.2. Financial Performance
- 10.4.15.3. Product Benchmarking
- 10.4.15.4. Strategic Initiatives