The Augmented Shopping Market size was USD 3.94 billion in 2022 and is expected to Reach USD 88.43 billion by 2030 and grow at a CAGR of 47.5 % over the forecast period of 2023-2030.
The use of augmented reality shopping is accelerating across numerous industries due to the demand for better consumer connection and engagement while delivering enhanced customer experience. the sector of the market that focuses on the creation, adoption, and application of augmented and virtual reality technology in the context of shopping experiences. By incorporating digital data and virtual components into the actual shopping experience, augmented shopping seeks to improve and revolutionize how people purchase. The preference for AR shopping is being pushed by the growing importance of AR in the retail sector, where it helps raise the perceived value of goods and brands and therefore enhances product sales. Growth in the market is also being fueled by the demand for virtual product demonstrations and increased enterprise brand awareness. Augmented shopping bridges the gap between online and offline shopping experiences. Retailers can integrate AR and VR technologies into their e-commerce platforms, allowing customers to virtually explore products, visualize them in different settings, and make informed purchase decisions A better customer experience and greater customer satisfaction are two of the key elements that aid retailers in boosting brand sales. Based on a customer's interests and previous purchases, tailored recommendations may be provided by augmented shopping. The ability to customize things through the use of colors, styles, or other design features is another benefit of augmented reality technology.
Get more information on Augmented Shopping Market - Request Free Sample Report
Retailers have started integrating augmented reality (AR) technology into smart mirrors or virtual mirrors, which give customers a screen to try out things quickly and without having to wait in line. The digital screens that display product attributes like dress sizes, colors, and many more are AR virtual mirrors. One can examine how well their clothing fits the environment. Therefore, it is projected that shorter queues and improved try-on features will accelerate market expansion. A fashion e-commerce site called Fynd unveiled GlamAR in June 2020. GlamAR is a virtual try-on cosmetic solution that enables customers to tailor their buying based on their skin tone and facial features. Retailers that use AR technology saw a jump in 19% of consumer engagement and a 90% conversion rate in 2020 compared to 2019. This is per a study released by Vertebrae Inc., a web-based 3D AR product visualization platform.
DRIVERS
Customized Shopping Experience
The growing consumer goods industry is driving the adoption of augmented reality in retail
The use of augmented reality in retail is being driven by the rising demand for customized try-in and try-on solutions. Retailers are integrating augmented reality technologies to enhance product search and viewing experiences before purchasing, which increases consumer traffic to stores and online websites.
RESTRAIN
Complex for User Experience
Augmented reality systems rely on technology, which can be prone to malfunctions and downtime
Augmented reality systems can be complex and difficult to use, especially for older or less tech-savvy customers. Retailers need to ensure that their augmented reality systems are user-friendly and provide clear instructions and guidance to users.
OPPORTUNITY
Development of Online Marketplaces
Utilizing mobile apps' natural AR capabilities allows augmented shopping for a larger user base without the need for additional hardware expenses.
Online marketplaces may include augmented shopping technologies into their platforms, giving vendors the ability to use AR/VR to show off products and give customers the opportunity to experience them. This will enhance sales and customer engagement.
CHALLENGES
Issue of Privacy and Security Concerns
The user experience may be impacted by technical issues with AR overlay accuracy, and device compatibility as these technologies continue to develop.
Privacy and security issues arise from the acquisition and processing of user data in augmented shopping. Implementing strong data protection methods, following to rules, and winning over customers' trust are essential.
The Russia-Ukraine Conflict, is expected to have significant long-term effects on the Global Augmented Reality in the Supply Chain Market. as it has caused political and economic uncertainty, which has led to negative impacts globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. The Russian clothing market is predicted to lose $18.8 billion as a result of the conflict. The Russia-Ukraine conflict has generally significantly disrupted a number of markets, including smart retail and augmented reality in retail marketplaces. Consumer priorities and preferences might alter in conflicting situations. Instead of investing in innovative technology like augmented shopping, people should place a greater emphasis on basic needs and essentials. This change in consumer behavior may hinder the market's adoption and expansion for augmented shopping. On the other hand, conflicts may encourage invention and growth in technology. There can be a rise in demand for online shopping, virtual showrooms, and other augmented shopping options as individuals adjust to changing circumstances. This could spur the creation of fresh technologies and remedies to address changing customer wants.
IMPACT OF ONGOING RECESSION
The ongoing research considers the changes in consumer behavior, supply chain disruptions, and government intervention. During a recession, augmented reality boosts consumer confidence. It assists in reaching customers where and how they want to shop in-person, online, or behind the scenes. The digital revolution of several industries can be sped up by a recession. Businesses that are adjusting to shifting market conditions could look at novel approaches to enhance client experiences and boost sales. With the potential to improve the online buying experience, augmented shopping technologies may attract attention as part of this digital transformation journey. On a positive note, cost-saving opportunities for firms during a recession may be provided by augmented shopping technologies. In order to eliminate the need for physical shop spaces, retailers may use augmented reality or virtual reality technology to construct virtual showrooms. They might reduce their rent and other expenses as a result.
By Application
Home Goods
Furniture
Beauty
Cosmetics
By Types
Augmented Reality
Virtual Reality
WebAR
3D Assets
By End-User
Retail
E-commerce
Automotive Industry
Fashion and Apparel
Consumer Electronics
Art
Design
By Component
Solutions
Services
.png)
Need any customization research on Augmented Shopping Market - Enquiry Now
North America
USA
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The North American region held the largest revenue share of 37.8% in 2019. The region exhibits the largest investment in AR technology as compared to other regions. Furthermore, growth in e-commerce sectors and the presence of large retailers in the U.S. and Canada is the other factor that contributes to the growth of the overall segment. Additionally, growing trends towards digital transformation in the retail industry in the region are expected to drive market growth. particularly the United States has been at the forefront of augmented shopping innovations and adoption. The region benefits from advanced technology infrastructure, a strong e-commerce market, and a tech-savvy consumer base. Major players in the augmented shopping market are concentrated in this region, driving innovation and market growth. The presence of leading AR/VR technology companies, retail giants, and e-commerce platforms contributes to the market's development.
Asia Pacific is a rapidly growing market for augmented shopping, and the growing adoption of smartphones and mobile commerce is one of the factors contributing to regional growth. Furthermore, the growing implementation of AR technology across e-commerce portals to drive sales and boost customer experience is the other factor responsible for regional growth. Additionally, the presence of a large retail industry in China and investments in AR technology in countries such as Japan and South Korea are projected to proliferate the market growth over the forecast period. driven by countries such as China, Japan, South Korea, and India. The region's large population, increasing smartphone penetration, and rising e-commerce activities contribute to market growth.
The major key players in the Augmented Shopping Market are Apple Inc., Augment, Blippar Ltd, Google LLC, Holition Ltd., Imaginate Technologies, Marxent Labs LLC, Microsoft, PTC, ViewAR GmbH, Wikitude GmbH, Zugara, Inc.and other players.
Amazon Inc: in June 2021, Amazon Inc, an American multinational e-commerce company, launched just Walk out technology for Amazon Fresh grocery store. Customers are given the option to use Just Walk Out shopping or the standard checkout lines at the store’s entry gates.
Instacart: In October 2021 A US-based online grocery delivery service called Instacart purchased Caper AI for an undisclosed sum. This purchase broadens the capabilities of Instacart's comprehensive retailer enablement platform and helps merchants integrate in-store and online shopping experiences for customers, supporting their business operations irrespective of the mode of customer shopping.
| Report Attributes | Details |
| Market Size in 2022 | US$ 3.94 Bn |
| Market Size by 2030 | US$ 88.43 Bn |
| CAGR | CAGR of 47.5% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Application (Home Goods, Furniture, Beauty, Cosmetics) • By Types (Augmented Reality, Virtual Reality, WebAR, 3D Assets) • By End-User (Retail, E-commerce, Automotive Industry, Fashion and Apparel, Consumer Electronics, Art, Design) • By Component (Solutions, Services) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Apple Inc., Augment, Blippar Ltd, Google LLC, Holition Ltd., Imaginate Technologies, Marxent Labs LLC, Microsoft, PTC, ViewAR GmbH, Wikitude GmbH, Zugara, Inc. |
| Key Drivers | • Customized Shopping Experience • The growing consumer goods industry is driving the adoption of augmented reality in retail |
| Market Restraints | • Complex for User Experience • Augmented reality systems rely on technology, which can be prone to malfunctions and downtime |
Ans. The Augmented Shopping Market is growing at a CAGR of 47.5% Over the Forecast Period 2023-2030.
Ans: The Augmented Shopping Market size was valued at US$ 3.94 billion in 2022.
Ans. The growing consumer goods industry & Customized User Experience are driving the adoption of augmented reality in Augmented Shopping Market.
Ans. The major key players are Apple Inc., Augment, Blippar Ltd, Google LLC, Holition Ltd., Imaginate Technologies, Marxent Labs LLC, Microsoft, PTC, ViewAR GmbH, Wikitude GmbH, Zugara, Inc. and other key players mentioned in the report.
Ans. North America has traditionally been a leading region in the Augmented Shopping Market due to the presence of advanced technology infrastructure and a strong focus on cybersecurity.
TABLE OF CONTENTS
1. Introduction
1.1 Company Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Company Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Ukraine- Russia War
4.2 Impact of Recession
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Augmented Shopping Market Segmentation, by Application
8.1 Home Goods
8.2 Furniture
8.3 Beauty
8.4 Cosmetics
9. Augmented Shopping Market Segmentation, by Types
9.1 Augmented Reality
9.2 Virtual Reality
9.3 WebAR
9.4 3D Assets
10. Augmented Shopping Market Segmentation, by End-User
10.1 Retail
10.2 E-commerce
10.3 Automotive Industry
10.4 Fashion and Apparel
10.5 Consumer Electronics
10.6 Art
10.7 Design
11. Augmented Shopping Market Segmentation, by Component
11.1 Solutions
11.2 Services
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Augmented Shopping Market by Country
12.2.2North America Augmented Shopping Market by Application
12.2.3 North America Augmented Shopping Market by Types
12.2.4 North America Augmented Shopping Market by End-User
12.2.5 North America Augmented Shopping Market by Component
12.2.6 USA
12.2.6.1 USA Augmented Shopping Market by Application
12.2.6.2 USA Augmented Shopping Market by Types
12.2.6.3 USA Augmented Shopping Market by End-User
12.2.6.4 USA Augmented Shopping Market by Component
12.2.7 Canada
12.2.7.1 Canada Augmented Shopping Market by Application
12.2.7.2 Canada Augmented Shopping Market by Types
12.2.7.3 Canada Augmented Shopping Market by End-User
12.2.7.4 Canada Augmented Shopping Market by Component
12.2.8 Mexico
12.2.8.1 Mexico Augmented Shopping Market by Application
12.2.8.2 Mexico Augmented Shopping Market by Types
12.2.8.3 Mexico Augmented Shopping Market by End-User
12.2.8.4 Mexico Augmented Shopping Market by Component
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Augmented Shopping Market by Country
12.3.1.2 Eastern Europe Augmented Shopping Market by Application
12.3.1.3 Eastern Europe Augmented Shopping Market by Types
12.3.1.4 Eastern Europe Augmented Shopping Market by End-User
12.3.1.5 Eastern Europe Augmented Shopping Market by Component
12.3.1.6 Poland
12.3.1.6.1 Poland Augmented Shopping Market by Application
12.3.1.6.2 Poland Augmented Shopping Market by Types
12.3.1.6.3 Poland Augmented Shopping Market by End-User
12.3.1.6.4 Poland Augmented Shopping Market by Component
12.3.1.7 Romania
12.3.1.7.1 Romania Augmented Shopping Market by Application
12.3.1.7.2 Romania Augmented Shopping Market by Types
12.3.1.7.3 Romania Augmented Shopping Market by End-User
12.3.1.7.4 Romania Augmented Shopping Market by Component
12.3.1.8 Hungary
12.3.1.8.1 Hungary Augmented Shopping Market by Application
12.3.1.8.2 Hungary Augmented Shopping Market by Types
12.3.1.8.3 Hungary Augmented Shopping Market by End-User
12.3.1.8.4 Hungary Augmented Shopping Market by Component
12.3.1.9 Turkey
12.3.1.9.1 Turkey Augmented Shopping Market by Application
12.3.1.9.2 Turkey Augmented Shopping Market by Types
12.3.1.9.3 Turkey Augmented Shopping Market by End-User
12.3.1.9.4 Turkey Augmented Shopping Market by Component
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Augmented Shopping Market by Application
12.3.1.10.2 Rest of Eastern Europe Augmented Shopping Market by Types
12.3.1.10.3 Rest of Eastern Europe Augmented Shopping Market by End-User
12.3.1.10.4 Rest of Eastern Europe Augmented Shopping Market by Component
12.3.2 Western Europe
12.3.2.1 Western Europe Augmented Shopping Market by Country
12.3.2.2 Western Europe Augmented Shopping Market by Application
12.3.2.3 Western Europe Augmented Shopping Market by Types
12.3.2.4 Western Europe Augmented Shopping Market by End-User
12.3.2.5 Western Europe Augmented Shopping Market by Component
12.3.2.6 Germany
12.3.2.6.1 Germany Augmented Shopping Market by Application
12.3.2.6.2 Germany Augmented Shopping Market by Types
12.3.2.6.3 Germany Augmented Shopping Market by End-User
12.3.2.6.4 Germany Augmented Shopping Market by Component
12.3.2.7 France
12.3.2.7.1 France Augmented Shopping Market by Application
12.3.2.7.2 France Augmented Shopping Market by Types
12.3.2.7.3 France Augmented Shopping Market by End-User
12.3.2.7.4 France Augmented Shopping Market by Component
12.3.2.8 UK
12.3.2.8.1 UK Augmented Shopping Market by Application
12.3.2.8.2 UK Augmented Shopping Market by Types
12.3.2.8.3 UK Augmented Shopping Market by End-User
12.3.2.8.4 UK Augmented Shopping Market by Component
12.3.2.9 Italy
12.3.2.9.1 Italy Augmented Shopping Market by Application
12.3.2.9.2 Italy Augmented Shopping Market by Types
12.3.2.9.3 Italy Augmented Shopping Market by End-User
12.3.2.9.4 Italy Augmented Shopping Market by Component
12.3.2.10 Spain
12.3.2.10.1 Spain Augmented Shopping Market by Application
12.3.2.10.2 Spain Augmented Shopping Market by Types
12.3.2.10.3 Spain Augmented Shopping Market by End-User
12.3.2.10.4 Spain Augmented Shopping Market by Component
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Augmented Shopping Market by Application
12.3.2.11.2 Netherlands Augmented Shopping Market by Types
12.3.2.11.3 Netherlands Augmented Shopping Market by End-User
12.3.2.11.4 Netherlands Augmented Shopping Market by Component
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Augmented Shopping Market by Application
12.3.2.12.2 Switzerland Augmented Shopping Market by Types
12.3.2.12.3 Switzerland Augmented Shopping Market by End-User
12.3.2.12.4 Switzerland Augmented Shopping Market by Component
12.3.2.13 Austria
12.3.2.13.1 Austria Augmented Shopping Market by Application
12.3.2.13.2 Austria Augmented Shopping Market by Types
12.3.2.13.3 Austria Augmented Shopping Market by End-User
12.3.2.13.4 Austria Augmented Shopping Market by Component
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Augmented Shopping Market by Application
12.3.2.14.2 Rest of Western Europe Augmented Shopping Market by Types
12.3.2.14.3 Rest of Western Europe Augmented Shopping Market by End-User
12.3.2.14.4 Rest of Western Europe Augmented Shopping Market by Component
12.4 Asia-Pacific
12.4.1 Asia Pacific Augmented Shopping Market by Country
12.4.2 Asia Pacific Augmented Shopping Market by Application
12.4.3 Asia Pacific Augmented Shopping Market by Types
12.4.4 Asia Pacific Augmented Shopping Market by End-User
12.4.5 Asia Pacific Augmented Shopping Market by Component
12.4.6 China
12.4.6.1 China Augmented Shopping Market by Application
12.4.6.2 China Augmented Shopping Market by Types
12.4.6.3 China Augmented Shopping Market by End-User
12.4.6.4 China Augmented Shopping Market by Component
12.4.7 India
12.4.7.1 India Augmented Shopping Market by Application
12.4.7.2 India Augmented Shopping Market by Types
12.4.7.3 India Augmented Shopping Market by End-User
12.4.7.4 India Augmented Shopping Market by Component
12.4.8 Japan
12.4.8.1 Japan Augmented Shopping Market by Application
12.4.8.2 Japan Augmented Shopping Market by Types
12.4.8.3 Japan Augmented Shopping Market by End-User
12.4.8.4 Japan Augmented Shopping Market by Component
12.4.9 South Korea
12.4.9.1 South Korea Augmented Shopping Market by Application
12.4.9.2 South Korea Augmented Shopping Market by Types
12.4.9.3 South Korea Augmented Shopping Market by End-User
12.4.9.4 South Korea Augmented Shopping Market by Component
12.4.10 Vietnam
12.4.10.1 Vietnam Augmented Shopping Market by Application
12.4.10.2 Vietnam Augmented Shopping Market by Types
12.4.10.3 Vietnam Augmented Shopping Market by End-User
12.4.10.4 Vietnam Augmented Shopping Market by Component
12.4.11 Singapore
12.4.11.1 Singapore Augmented Shopping Market by Application
12.4.11.2 Singapore Augmented Shopping Market by Types
12.4.11.3 Singapore Augmented Shopping Market by End-User
12.4.11.4 Singapore Augmented Shopping Market by Component
12.4.12 Australia
12.4.12.1 Australia Augmented Shopping Market by Application
12.4.12.2 Australia Augmented Shopping Market by Types
12.4.12.3 Australia Augmented Shopping Market by End-User
12.4.12.4 Australia Augmented Shopping Market by Component
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Augmented Shopping Market by Application
12.4.13.2 Rest of Asia-Pacific APAC Augmented Shopping Market by Types
12.4.13.3 Rest of Asia-Pacific Augmented Shopping Market by End-User
12.4.13.4 Rest of Asia-Pacific Augmented Shopping Market by Component
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Augmented Shopping Market by Country
12.5.1.2 Middle East Augmented Shopping Market by Application
12.5.1.3 Middle East Augmented Shopping Market by Types
12.5.1.4 Middle East Augmented Shopping Market by End-User
12.5.1.5 Middle East Augmented Shopping Market by Component
12.5.1.6 UAE
12.5.1.6.1 UAE Augmented Shopping Market by Application
12.5.1.6.2 UAE Augmented Shopping Market by Types
12.5.1.6.3 UAE Augmented Shopping Market by End-User
12.5.1.6.4 UAE Augmented Shopping Market by Component
12.5.1.7 Egypt
12.5.1.7.1 Egypt Augmented Shopping Market by Application
12.5.1.7.2 Egypt Augmented Shopping Market by Types
12.5.1.7.3 Egypt Augmented Shopping Market by End-User
12.5.1.7.4 Egypt Augmented Shopping Market by Component
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Augmented Shopping Market by Application
12.5.1.8.2 Saudi Arabia Augmented Shopping Market by Types
12.5.1.8.3 Saudi Arabia Augmented Shopping Market by End-User
12.5.1.8.4 Saudi Arabia Augmented Shopping Market by Component
12.5.1.9 Qatar
12.5.1.9.1 Qatar Augmented Shopping Market by Application
12.5.1.9.2 Qatar Augmented Shopping Market by Types
12.5.1.9.3 Qatar Augmented Shopping Market by End-User
12.5.1.9.4 Qatar Augmented Shopping Market by Component
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Augmented Shopping Market by Application
12.5.1.10.2 Rest of Middle East Augmented Shopping Market by Types
12.5.1.10.3 Rest of Middle East Augmented Shopping Market by End-User
12.5.1.10.4 Rest of Middle East Augmented Shopping Market by Component
12.5.2. Africa
12.5.2.1 Africa Augmented Shopping Market by Country
12.5.2.2 Africa Augmented Shopping Market by Application
12.5.2.3 Africa Augmented Shopping Market by Types
12.5.2.4 Africa Augmented Shopping Market by End-User
12.5.2.5 Africa Augmented Shopping Market by Component
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Augmented Shopping Market by Application
12.5.2.6.2 Nigeria Augmented Shopping Market by Types
12.5.2.6.3 Nigeria Augmented Shopping Market by End-User
12.5.2.6.4 Nigeria Augmented Shopping Market by Component
12.5.2.7 South Africa
12.5.2.7.1 South Africa Augmented Shopping Market by Application
12.5.2.7.2 South Africa Augmented Shopping Market by Types
12.5.2.7.3 South Africa Augmented Shopping Market by End-User
12.5.2.7.4 South Africa Augmented Shopping Market by Component
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Augmented Shopping Market by Application
12.5.2.8.2 Rest of Africa Augmented Shopping Market by Types
12.5.2.8.3 Rest of Africa Augmented Shopping Market by End-User
12.5.2.8.4 Rest of Africa Augmented Shopping Market by Component
12.6. Latin America
12.6.1 Latin America Augmented Shopping Market by Country
12.6.2 Latin America Augmented Shopping Market by Application
12.6.3 Latin America Augmented Shopping Market by Types
12.6.4 Latin America Augmented Shopping Market by End-User
12.6.5 Latin America Augmented Shopping Market by Component
12.6.6 Brazil
12.6.6.1 Brazil Augmented Shopping Market by Application
12.6.6.2 Brazil Africa Augmented Shopping Market by Types
12.6.6.3 Brazil Augmented Shopping Market by End-User
12.6.6.4 Brazil Augmented Shopping Market by Component
12.6.7 Argentina
12.6.7.1 Argentina Augmented Shopping Market by Application
12.6.7.2 Argentina Augmented Shopping Market by Types
12.6.7.3 Argentina Augmented Shopping Market by End-User
12.6.7.4 Argentina Augmented Shopping Market by Component
12.6.8 Colombia
12.6.8.1 Colombia Augmented Shopping Market by Application
12.6.8.2 Colombia Augmented Shopping Market by Types
12.6.8.3 Colombia Augmented Shopping Market by End-User
12.6.8.4 Colombia Augmented Shopping Market by Component
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Augmented Shopping Market by Application
12.6.9.2 Rest of Latin America Augmented Shopping Market by Types
12.6.9.3 Rest of Latin America Augmented Shopping Market by End-User
12.6.9.4 Rest of Latin America Augmented Shopping Market by Component
13. Company profile
13.1 Apple Inc.
13.1.1 Company Overview
13.1.2 Financials
13.1.3Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Augment
13.2.1 Company Overview
13.2.2 Financials
13.2.3Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Blippar Ltd
13.3.1 Company Overview
13.3.2 Financials
13.3.3Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Google LLC
13.4.1 Company Overview
13.4.2 Financials
13.4.3Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Holition Ltd
13.5.1 Company Overview
13.5.2 Financials
13.5.3Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 Imaginate Technologies
13.6.1 Company Overview
13.6.2 Financials
13.6.3Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Marxent Labs LLC
13.7.1 Company Overview
13.7.2 Financials
13.7.3Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Microsoft
13.8.1 Company Overview
13.8.2 Financial
13.8.3Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 PTC
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Service/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 ViewAR GmbH
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Service/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Company Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3.3 Mergers & Acquisitions
14. USE Cases and Best Practices
15. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Decision Intelligence Market size was USD 10 billion in 2022 and is expected to Reach USD 37.5 billion by 2030 and grow at a CAGR of 18 % over the forecast period of 2023-2030.
The System Infrastructure Software Market size was USD 158.72 billion in 2023 and is expected to Reach USD 309.36 billion by 2031 and grow at a CAGR of 8.7% over the forecast period of 2024-2031.
The Network Transformation Market size was valued at USD 36.81 Bn in 2022 and is expected to reach USD 560.90 Bn by 2030, and grow at a CAGR of 40.56% over the forecast period 2023-2030.
The Workspace as a Service (WaaS) Market size was valued at USD 7.43 billion in 2022. It is expected to hit USD 25.24 billion by 2030 and grow at a CAGR of 16.52% over the forecast period of 2023-2030.
The Online Trading Platform Market was worth USD 9.28 billion in 2022 and is predicted to be worth USD 15.42 billion by 2030, growing at a CAGR of 6.56% between 2023 and 2030.
The Team Collaboration Software Market size was valued at USD 26.28 billion in 2022 and is expected to grow to USD 55.60 billion by 2030 and grow at a CAGR of 9.82 % over the forecast period of 2023-2030.
Hi! Click one of our member below to chat on Phone
© 2024 All Rights Reserved by SNS Insider Pvt Ltd
