The augmented reality (AR) shopping market is estimated to be valued at US$ 4.9 billion in 2024. The augmented reality (AR) shopping is predicted to rise at a CAGR of 28% from 2024 to 2034. The global augmented reality (AR) shopping market is anticipated to reach US$ 58 billion by 2034.
The widespread use of smartphones and other mobile devices makes AR shopping solutions accessible to a large audience. Consumers can easily engage with AR experiences without the need for specialized hardware, contributing to the broad adoption of these solutions.
As online shopping continues to grow, AR solutions are integrated into e-commerce platforms and mobile applications. This integration allows consumers to access AR features seamlessly, making it convenient for them to experience augmented reality while browsing products online.
The integration of AI technologies with AR shopping can enhance personalization and recommendation systems. AI algorithms can analyze user preferences, behaviors, and purchase history to deliver more accurate and tailored AR shopping experiences.
Continued advancements in AR technology, including more sophisticated tracking, rendering, and object recognition capabilities, will contribute to enhanced AR shopping experiences. The technology's ability to seamlessly integrate with the real world is expected to improve.
| Attributes | Key Insights |
|---|---|
| Estimated Market Size in 2024 | US$ 4.9 billion |
| Projected Market Value in 2034 | US$ 58 billion |
| Value-based CAGR from 2024 to 2034 | 28% |
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From 2019 to 2023, the augmented reality (AR) shopping market experienced a CAGR of 30.8% in market value. The progress in AR technology, specifically in the domains of enhanced tracking, rendering capabilities, and user interfaces, has played a pivotal role in creating smoother and seamless AR shopping experiences.
The prevalent use of smartphones and the existence of advanced digital infrastructure further enhance the favorable conditions for the integration of AR in the shopping landscape. Fashion and beauty brands increasingly adopted virtual try-on solutions, allowing users to try on clothing, accessories, and makeup virtually. E-commerce platforms and major retailers integrated AR features into their apps and websites to differentiate themselves and attract tech-savvy consumers.
AR shopping is likely to extend beyond fashion and furniture to encompass a broader range of product categories. Virtual try-on experiences and product visualization will likely become more prevalent in areas such as electronics, home appliances, and even groceries. Projections indicate that the global augmented reality (AR) shopping market is expected to experience a CAGR of 28% from 2024 to 2034.
| Historical CAGR from 2019 to 2023 | 30.8% |
|---|---|
| Forecast CAGR from 2024 to 2034 | 28% |
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The following table shows the top five countries by revenue, led by South Korea and the United Kingdom. The growing demand for personalized and immersive shopping experiences in the United Kingdom contributing to the growth of AR in Shopping.
The widespread use of smartphones and advanced digital infrastructure creates a favorable environment for the adoption of AR shopping experiences in South Korea.
| Countries | The Forecast CAGRs from 2024 to 2034 |
|---|---|
| The United States | 28.4% |
| The United Kingdom | 29.3% |
| China | 28.6% |
| Japan | 28.7% |
| South Korea | 31.3% |
The augmented reality (AR) shopping market in the United States is expected to grow with a staggering CAGR of 28.4% from 2024 to 2034. The growth of the market in the country is attributed to the presence of tech-savvy consumers who are early adopters of new technologies.
The willingness of consumers to embrace innovative shopping experiences, including AR, contributes to the growth of the market. The well-established and highly competitive e-commerce market drives the market growth in the United States.
Many retailers and e-commerce platforms in the country are integrating AR features to enhance the online shopping experience, providing consumers with virtual try-on options and interactive product visualizations. Prominent retailers and brands in the United States are increasingly adopting AR shopping solutions to differentiate themselves and stay competitive.
The augmented reality (AR) shopping market in China is expected to grow with a CAGR of 28.6% from 2024 to 2034. High smartphone penetration in China provides a favorable environment for the adoption of mobile AR applications. Consumers can easily access AR shopping features on their mobile devices, contributing to widespread adoption.
China has a massive and rapidly growing e-commerce market, with platforms like Alibaba's Taobao and JD.com leading the way. These platforms have been quick to adopt AR shopping features to enhance the online shopping experience, including virtual try-on and product visualization.
The augmented reality (AR) shopping market in the United Kingdom is expected to grow with a CAGR of 29.3% from 2024 to 2034. The United Kingdom is a major hub for fashion and retail, and the industry's influence contributes to the adoption of AR shopping solutions. Virtual try-on experiences for clothing, accessories, and beauty products are particularly popular in the country.
The United Kingdom government's support for innovation and technology adoption can create an environment conducive to the growth of AR shopping. Policies and initiatives that promote digital innovation may contribute to the market's expansion.
The augmented reality (AR) shopping market in Japan is expected to grow with a CAGR of 28.7% from 2024 to 2034. E-commerce platforms and retailers in Japan are integrating AR features to enhance the online shopping experience. Virtual try-ons, product visualizations, and AR-powered advertisements are becoming more common in Japan.
Japan has a dynamic retail industry that values innovation. Retailers in the country are increasingly adopting technology, including AR, to enhance the customer experience and stay competitive.
The popularity of e-commerce in South Korea, along with the presence of major e-commerce platforms, has led to the integration of AR features. AR shopping solutions, including virtual try-ons and interactive product displays, enhance the online shopping experience. The augmented reality (AR) shopping market in South Korea is expected to grow with a CAGR of 31.3% from 2024 to 2034.
Developments in AR glasses and smart eyewear contribute to the demand for AR shopping experiences. The potential adoption of AR glasses in South Korea may open up new possibilities for immersive and hands-free shopping interactions.
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The below section shows the leading segment. The solutions segment accounts for a CAGR of 27.8% from 2024 to 2034. Based on application, the automotive segment is anticipated to hold a dominant share through 2034. It is set to exhibit a CAGR of 27.5% from 2024 to 2034.
| Category | CAGR |
|---|---|
| Solutions | 27.8% |
| Automotive | 27.5% |
Based on components, the solutions segment is anticipated to thrive at a CAGR of 27.8% from 2024 to 2034. AR shopping solutions provide a highly engaging and interactive experience for customers. Shoppers can visualize products in their real-world environment, try them virtually, and interact with digital content, leading to a more immersive and enjoyable shopping experience.
Virtual try-on solutions, particularly in the fashion and beauty industries, allow customers to see how clothing, accessories, or makeup will look on them before making a purchase. This feature addresses uncertainties related to size, fit, and style, increasing confidence in online shopping.
By offering virtual try-on experiences, AR shopping solutions help reduce the likelihood of returns due to mismatched expectations. Customers are more likely to make informed decisions, leading to higher conversion rates and improved overall customer satisfaction.
Based on application, the automotive segment is projected to rise at a 27.5% CAGR through 2034. AR shopping in automotive applications provides an immersive and interactive user experience. It allows drivers and passengers to access real-time information, navigation guidance, and contextual data, making the driving experience more engaging and enjoyable.
AR is commonly used in Head-Up Displays, where relevant information is projected onto the windshield, allowing drivers to receive crucial data without taking their eyes off the road. This includes navigation instructions, speed, and other important vehicle information.
Automotive manufacturers leverage AR for virtual showrooms and product customization. Customers can use AR apps to visualize different car models, explore interior options, and even virtually test-drive vehicles, enhancing the pre-purchase experience.
The market players are investing in the development of advanced AR features, such as virtual try-ons, interactive product visualizations, and AR-powered navigation, to provide users with compelling and immersive experiences.
The leading players are collaborating with retailers, e-commerce platforms, and fashion brands to integrate AR shopping solutions directly into their platforms, enhancing the overall shopping experience for consumers.
| Attributes | Details |
|---|---|
| Estimated Market Size in 2024 | US$ 4.9 billion |
| Projected Market Valuation in 2034 | US$ 58 billion |
| Value-based CAGR 2024 to 2034 | 28% |
| Forecast Period | 2024 to 2034 |
| Historical Data Available for | 2019 to 2023 |
| Market Analysis | Value in US$ billion |
| Key Regions Covered |
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| Key Market Segments Covered |
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| Key Countries Profiled |
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| Key Companies Profiled |
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As of 2024, the market for augmented reality (AR) shopping is expected to be valued at US$ 4.9 billion.
By 2034, the market value of augmented reality (AR) shopping is expected to reach US$ 58 billion.
From 2024 to 2034, the augmented reality (AR) shopping market is expected to flourish at a CAGR of 28%
The solutions segment is expected to account for a CAGR of 27.8% from 2024 to 2034.
South Korea is likely the top-performing market, with a CAGR of 31.3%.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2024 to 2034
5.3.1. Solutions
5.3.2. Services
5.4. Y-o-Y Growth Trend Analysis By Component, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Component, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
6.3.1. Automotive
6.3.2. Home Goods & Furniture
6.3.3. Beauty & Cosmetics
6.3.4. Apparel Fittings
6.3.5. Grocery Shopping
6.3.6. Footwear
6.3.7. Others
6.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
7.1. Introduction
7.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
7.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
7.3.1. North America
7.3.2. Latin America
7.3.3. Western Europe
7.3.4. Eastern Europe
7.3.5. South Asia and Pacific
7.3.6. East Asia
7.3.7. Middle East and Africa
7.4. Market Attractiveness Analysis By Region
8. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
8.2.1. By Country
8.2.1.1. USA
8.2.1.2. Canada
8.2.2. By Component
8.2.3. By Application
8.3. Market Attractiveness Analysis
8.3.1. By Country
8.3.2. By Component
8.3.3. By Application
8.4. Key Takeaways
9. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
9.2.1. By Country
9.2.1.1. Brazil
9.2.1.2. Mexico
9.2.1.3. Rest of Latin America
9.2.2. By Component
9.2.3. By Application
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By Application
9.4. Key Takeaways
10. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. Germany
10.2.1.2. UK
10.2.1.3. France
10.2.1.4. Spain
10.2.1.5. Italy
10.2.1.6. Rest of Western Europe
10.2.2. By Component
10.2.3. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Application
10.4. Key Takeaways
11. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Poland
11.2.1.2. Russia
11.2.1.3. Czech Republic
11.2.1.4. Romania
11.2.1.5. Rest of Eastern Europe
11.2.2. By Component
11.2.3. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Application
11.4. Key Takeaways
12. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. India
12.2.1.2. Bangladesh
12.2.1.3. Australia
12.2.1.4. New Zealand
12.2.1.5. Rest of South Asia and Pacific
12.2.2. By Component
12.2.3. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Application
12.4. Key Takeaways
13. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. China
13.2.1.2. Japan
13.2.1.3. South Korea
13.2.2. By Component
13.2.3. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Application
13.4. Key Takeaways
14. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. GCC Countries
14.2.1.2. South Africa
14.2.1.3. Israel
14.2.1.4. Rest of MEA
14.2.2. By Component
14.2.3. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Component
14.3.3. By Application
14.4. Key Takeaways
15. Key Countries Market Analysis
15.1. USA
15.1.1. Pricing Analysis
15.1.2. Market Share Analysis, 2023
15.1.2.1. By Component
15.1.2.2. By Application
15.2. Canada
15.2.1. Pricing Analysis
15.2.2. Market Share Analysis, 2023
15.2.2.1. By Component
15.2.2.2. By Application
15.3. Brazil
15.3.1. Pricing Analysis
15.3.2. Market Share Analysis, 2023
15.3.2.1. By Component
15.3.2.2. By Application
15.4. Mexico
15.4.1. Pricing Analysis
15.4.2. Market Share Analysis, 2023
15.4.2.1. By Component
15.4.2.2. By Application
15.5. Germany
15.5.1. Pricing Analysis
15.5.2. Market Share Analysis, 2023
15.5.2.1. By Component
15.5.2.2. By Application
15.6. UK
15.6.1. Pricing Analysis
15.6.2. Market Share Analysis, 2023
15.6.2.1. By Component
15.6.2.2. By Application
15.7. France
15.7.1. Pricing Analysis
15.7.2. Market Share Analysis, 2023
15.7.2.1. By Component
15.7.2.2. By Application
15.8. Spain
15.8.1. Pricing Analysis
15.8.2. Market Share Analysis, 2023
15.8.2.1. By Component
15.8.2.2. By Application
15.9. Italy
15.9.1. Pricing Analysis
15.9.2. Market Share Analysis, 2023
15.9.2.1. By Component
15.9.2.2. By Application
15.10. Poland
15.10.1. Pricing Analysis
15.10.2. Market Share Analysis, 2023
15.10.2.1. By Component
15.10.2.2. By Application
15.11. Russia
15.11.1. Pricing Analysis
15.11.2. Market Share Analysis, 2023
15.11.2.1. By Component
15.11.2.2. By Application
15.12. Czech Republic
15.12.1. Pricing Analysis
15.12.2. Market Share Analysis, 2023
15.12.2.1. By Component
15.12.2.2. By Application
15.13. Romania
15.13.1. Pricing Analysis
15.13.2. Market Share Analysis, 2023
15.13.2.1. By Component
15.13.2.2. By Application
15.14. India
15.14.1. Pricing Analysis
15.14.2. Market Share Analysis, 2023
15.14.2.1. By Component
15.14.2.2. By Application
15.15. Bangladesh
15.15.1. Pricing Analysis
15.15.2. Market Share Analysis, 2023
15.15.2.1. By Component
15.15.2.2. By Application
15.16. Australia
15.16.1. Pricing Analysis
15.16.2. Market Share Analysis, 2023
15.16.2.1. By Component
15.16.2.2. By Application
15.17. New Zealand
15.17.1. Pricing Analysis
15.17.2. Market Share Analysis, 2023
15.17.2.1. By Component
15.17.2.2. By Application
15.18. China
15.18.1. Pricing Analysis
15.18.2. Market Share Analysis, 2023
15.18.2.1. By Component
15.18.2.2. By Application
15.19. Japan
15.19.1. Pricing Analysis
15.19.2. Market Share Analysis, 2023
15.19.2.1. By Component
15.19.2.2. By Application
15.20. South Korea
15.20.1. Pricing Analysis
15.20.2. Market Share Analysis, 2023
15.20.2.1. By Component
15.20.2.2. By Application
15.21. GCC Countries
15.21.1. Pricing Analysis
15.21.2. Market Share Analysis, 2023
15.21.2.1. By Component
15.21.2.2. By Application
15.22. South Africa
15.22.1. Pricing Analysis
15.22.2. Market Share Analysis, 2023
15.22.2.1. By Component
15.22.2.2. By Application
15.23. Israel
15.23.1. Pricing Analysis
15.23.2. Market Share Analysis, 2023
15.23.2.1. By Component
15.23.2.2. By Application
16. Market Structure Analysis
16.1. Competition Dashboard
16.2. Competition Benchmarking
16.3. Market Share Analysis of Top Players
16.3.1. By Regional
16.3.2. By Component
16.3.3. By Application
17. Competition Analysis
17.1. Competition Deep Dive
17.1.1. Apple Inc.
17.1.1.1. Overview
17.1.1.2. Product Portfolio
17.1.1.3. Profitability by Market Segments
17.1.1.4. Sales Footprint
17.1.1.5. Strategy Overview
17.1.1.5.1. Marketing Strategy
17.1.2. Augment
17.1.2.1. Overview
17.1.2.2. Product Portfolio
17.1.2.3. Profitability by Market Segments
17.1.2.4. Sales Footprint
17.1.2.5. Strategy Overview
17.1.2.5.1. Marketing Strategy
17.1.3. Blippar Ltd
17.1.3.1. Overview
17.1.3.2. Product Portfolio
17.1.3.3. Profitability by Market Segments
17.1.3.4. Sales Footprint
17.1.3.5. Strategy Overview
17.1.3.5.1. Marketing Strategy
17.1.4. Google LLC
17.1.4.1. Overview
17.1.4.2. Product Portfolio
17.1.4.3. Profitability by Market Segments
17.1.4.4. Sales Footprint
17.1.4.5. Strategy Overview
17.1.4.5.1. Marketing Strategy
17.1.5. Holition Ltd.
17.1.5.1. Overview
17.1.5.2. Product Portfolio
17.1.5.3. Profitability by Market Segments
17.1.5.4. Sales Footprint
17.1.5.5. Strategy Overview
17.1.5.5.1. Marketing Strategy
17.1.6. Imaginate Technologies
17.1.6.1. Overview
17.1.6.2. Product Portfolio
17.1.6.3. Profitability by Market Segments
17.1.6.4. Sales Footprint
17.1.6.5. Strategy Overview
17.1.6.5.1. Marketing Strategy
17.1.7. Marxent Labs LLC
17.1.7.1. Overview
17.1.7.2. Product Portfolio
17.1.7.3. Profitability by Market Segments
17.1.7.4. Sales Footprint
17.1.7.5. Strategy Overview
17.1.7.5.1. Marketing Strategy
17.1.8. Microsoft
17.1.8.1. Overview
17.1.8.2. Product Portfolio
17.1.8.3. Profitability by Market Segments
17.1.8.4. Sales Footprint
17.1.8.5. Strategy Overview
17.1.8.5.1. Marketing Strategy
17.1.9. PTC
17.1.9.1. Overview
17.1.9.2. Product Portfolio
17.1.9.3. Profitability by Market Segments
17.1.9.4. Sales Footprint
17.1.9.5. Strategy Overview
17.1.9.5.1. Marketing Strategy
17.1.10. ViewAR GmbH
17.1.10.1. Overview
17.1.10.2. Product Portfolio
17.1.10.3. Profitability by Market Segments
17.1.10.4. Sales Footprint
17.1.10.5. Strategy Overview
17.1.10.5.1. Marketing Strategy
17.1.11. Wikitude GmbH
17.1.11.1. Overview
17.1.11.2. Product Portfolio
17.1.11.3. Profitability by Market Segments
17.1.11.4. Sales Footprint
17.1.11.5. Strategy Overview
17.1.11.5.1. Marketing Strategy
17.1.12. Zugara Inc.
17.1.12.1. Overview
17.1.12.2. Product Portfolio
17.1.12.3. Profitability by Market Segments
17.1.12.4. Sales Footprint
17.1.12.5. Strategy Overview
17.1.12.5.1. Marketing Strategy
18. Assumptions & Acronyms Used
19. Research Methodology
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Augmented Reality (AR) Shopping Market
