Smart Eyewear Technology Market Size, Trends and Insights By Technology (Virtual Reality, Augmented Reality), By Product (Head Mounted Display, Mixed Reality Holographic Displays, Assisted Reality Glasses), By Operating System (Android, iOS, Windows), By End User (Manufacturing, Healthcare, Military & Defense, Transportation & Logistics, Construction & Architecture, Gaming Industry, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033
Report Code: CMI17209
Category: Next Generation Technologies
Report Snapshot
Source: CMI
| Study Period: | 2024-2033 |
| Fastest Growing Market: | Asia-Pacific |
| Largest Market: | Europe |
Major Players
- Google Inc.
- Microsoft Corporation
- Epson America, Inc
- Meta Company
- Others
Reports Description
The report on “Global Smart Eyewear Technology Market” includes comprehensive information regarding the market’s historical and current estimations, future projections, market trends, competition, market dynamics as well as recent developments in the Smart Eyewear Technology market forecast from 2022 to 2030.
According to the Custom Market Insights study, the market accounted for around USD 9 billion in 2021 and is expected to grow at a CAGR of 19% during 2022-2030. The market for global Smart Eyewear Technology market is forecasted to account for nearly USD 33 billion by 2030.
Smart Eyewear Technology Market: Overview
Wearables are gaining significant adoption in the commercial world. Particularly in the Smart Factory and Industry 4.0 movements, high expectations are placed on miniature electronic assistants. The “smart spectacles” hold a special place in the eyes of experts and companies testing the wearables market. These smart glasses can communicate over the Internet, giving the user quick and simple access to constantly updated information about the task. Particularly when used in conjunction with augmented reality, which combines information from the Internet into the wearer’s field of view, the tiny devices reach their full potential. This facilitates daily work while also making it safer and significantly more effective.
Smart Eyewear Technology Market: COVID–19 Impact Analysis
The COVID-19 pandemic has hampered the growth of a number of industries, notably the automotive and oil & gas industries. It directly affects supply and demand, disrupts supply chains and marketplaces, and financially impacts companies and financial markets. These are its three main consequences on the global economy. In recent months, the COVID-19 outbreak has posed a serious strategic threat to businesses in the electronics and industrial industries. The raw materials supply has been disrupted, manufacturing facilities have been temporarily shut down, there has been insufficient funding, and consumer demand has been sluggish. All these factors hamper the size of the global market for smart eyewear.
Smart Eyewear Technology Market: Growth Drivers
Introduction of new products
Many different technologies are now being tested to function with smart glasses. The field of vision shouldn’t be severely constrained, and colors shouldn’t be distorted are the key concerns. Keeping costs and weight to a minimum is another important objective. Two competing technologies are used to achieve this: either a mirror is used to reflect the data into the user’s field of vision, or an optical waveguide, a light-conducting component of the glass that is invisible to the human eye, is used to convey the images produced by a micro-projector.
The latter is the idea underlying, for instance, the eyewear produced by the Israeli company Lumus and the French firm Optinvent. The benefit of it is that the users can see via the waveguide instead of a display or monitor, which would compromise their eyesight. These glasses may also be produced rather cheaply and are very light. Such developments are expected to propel the demand for the Smart Eyewear Technology market.
The increasing number of market players
The market for smart eyewear is expanding primarily due to the rising number of industry participants and frequent product introductions. Nearly every other day, top businesses introduce new styles of smart eyewear. Additionally, the numerous industry participants in the marketplaces avoid monopolies and maintain competitive prices, which is advantageous to consumers. In order to strengthen their brand awareness, businesses also work with healthcare providers, sports teams, and other sectors as their official partners. Smart eyewear companies use these strategies to help the market grow.
Smart Eyewear Technology Market: Segmentation Analysis
The Smart Eyewear Technology market is segmented into technology, product type, operating systems, and end user. By end users, the gaming industry is projected to exhibit a high CAGR during the forecast period. Attributed to the surging demand for augmented reality technology in video games. Additionally, this industry is expanding rapidly due to the sharp rise in gamers around the world and the growing popularity of augmented reality games. Also, due to their rising usage in developed countries, the iOS segment accounted for the dominant revenue share in the global smart eyewear market in 2021. Further, the segment is anticipated to dominate the market throughout the coming years.
Report Scope
| Feature of the Report | Details |
| Market Size in 2021 | USD 9 Billion |
| Projected Market Size in 2030 | USD 33 Billion |
| CAGR Growth Rate | 19% CAGR (2022-2030) |
| Base Year | 2023 |
| Forecast Period | 2024-2033 |
| Prominent Players | Google Inc., Microsoft Corporation, Epson America, Inc, Meta Company, Samsung Electronics Co., Ltd, Recon Instruments, Inc, Kopin Corporation, Sony Corporation, and Others |
| Key Segment | By Technology, Product, Operating System, End User, and Region |
| Report Coverage | Revenue Estimation and Forecast, Company Profile, Competitive Landscape, Growth Factors and Recent Trends |
| Regional Scope | North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America |
| Buying Options | Request tailored purchasing options to fulfil your requirements for research. |
Key Insights:
- As per the analysis shared by our research analyst, the Smart Eyewear Technology market is estimated to grow annually at a CAGR of around 19% over the forecast period (2022-2030).
- In terms of revenue, the Smart Eyewear Technology market size was valued at around USD 9 billion in 2021 and is projected to reach USD 33 billion by 2030. Due to a variety of driving factors, the market is predicted to rise at a significant rate.
- Based on product type segmentation, the head-mounted displays segment was estimated to hold a dominant market share in the year 2021.
- Based on operating system segmentation, iOS was the leading revenue-generating category in 2021.
- Based on end-user segmentation, the gaming industry is anticipated to exhibit a high CAGR during the forecast period.
- On the basis of region, the North American region was the leading revenue generator in 2021.
Recent Development
- July 2022: EssilorLuxottica and Politecnico di Milano announced their joint research center EssilorLuxottica Smart Eyewear Lab. The lab is focused on designing the smart glasses of the future.
- June 2022: Noise, an Indian manufacturer of electronics and accessories, unveiled the Noise i1. The newly launched product is the company’s first set of smart eyewear.
- January 2022: Titan Eye+ introduced the Titan EyeX, the company’s first smart glasses featuring audio and other functions.
Regional Landscape
The market for smart eyewear is classified geographically into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. Due to the growing popularity of smart eyewear among athletes and fitness enthusiasts in nations like the US and Canada, North America now holds a dominant position in this market.
The market is also driven by a high concentration of smart eyewear producers, rising healthcare spending, and the adoption of innovative medical technology. Europe is catching up to North America and accounts for a sizable portion of the market.
Competitive Landscape
The Smart Eyewear Technology market is dominated by key players in technology, such as Google, Microsoft, Meta, and others. These players invest significantly in research and development and compete by using cutting-edge technology in their products. To obtain a competitive edge, they also introduce new upgrades and features into their products. In this sector, competitive methods, including partnerships, mergers, acquisitions, and joint ventures, are also widely used.
The global smart eyewear technology market is segmented as follows:
By Technology
- Virtual Reality
- Augmented Reality
By Product
- Head Mounted Display
- Mixed Reality Holographic Displays
- Assisted Reality Glasses
By Operating System
- Android
- iOS
- Windows
By End User
- Manufacturing
- Healthcare
- Military & Defense
- Transportation & Logistics
- Construction & Architecture
- Gaming Industry
- Others
By Geography
North America
- U.S.
- Canada
- Mexico
- Rest of North America
Europe
- Germany
- France
- U.K.
- Italy
- Spain
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- New Zealand
- Australia
- South Korea
- Rest of Asia Pacific
The Middle East & Africa
- Saudi Arabia
- UAE
- Egypt
- Kuwait
- South Africa
- Rest of the Middle East & Africa
Latin America
- Brazil
- Argentina
- Rest of Latin America
Table of Contents
- Chapter 1. Preface
- 1.1 Report Description and Scope
- 1.2 Research scope
- 1.3 Research methodology
- 1.3.1 Market Research Type
- 1.3.2 Market research methodology
- Chapter 2. Executive Summary
- 2.1 Global Smart Eyewear Technology Market, (2022 – 2030) (USD Billion)
- 2.2 Global Smart Eyewear Technology Market: snapshot
- Chapter 3. Global Smart Eyewear Technology Market – Industry Analysis
- 3.1 Smart Eyewear Technology Market: Market Dynamics
- 3.2 Market Drivers
- 3.2.1 Introduction of new products
- 3.2.2 the Growing number of market players
- 3.3 Market Restraints
- 3.4 Market Opportunities
- 3.5 Market Challenges
- 3.6 Porter’s Five Forces Analysis
- 3.7 Market Attractiveness Analysis
- 3.7.1 Market attractiveness analysis By Technology
- 3.7.2 Market attractiveness analysis By Product
- 3.7.3 Market attractiveness analysis By Operating System
- 3.7.4 Market attractiveness analysis By End User
- Chapter 4. Global Smart Eyewear Technology Market- Competitive Landscape
- 4.1 Company market share analysis
- 4.1.1 Global Smart Eyewear Technology Market: company market share, 2021
- 4.2 Strategic development
- 4.2.1 Acquisitions & mergers
- 4.2.2 New Product launches
- 4.2.3 Agreements, partnerships, cullaborations, and joint ventures
- 4.2.4 Research and development and Regional expansion
- 4.3 Price trend analysis
- 4.1 Company market share analysis
- Chapter 5. Global Smart Eyewear Technology Market – Technology Analysis
- 5.1 Global Smart Eyewear Technology Market overview: By Technology
- 5.1.1 Global Smart Eyewear Technology Market share, By Technology, 2021 and 2030
- 5.2 Virtual Reality
- 5.2.1 Global Smart Eyewear Technology Market by Virtual Reality, 2022 – 2030 (USD Billion)
- 5.3 Augmented Reality
- 5.3.1 Global Smart Eyewear Technology Market by Augmented Reality, 2022 – 2030 (USD Billion)
- 5.1 Global Smart Eyewear Technology Market overview: By Technology
- Chapter 6. Global Smart Eyewear Technology Market – Product Analysis
- 6.1 Global Smart Eyewear Technology Market overview: By Product
- 6.1.1 Global Smart Eyewear Technology Market share, By Product, 2021 and 2030
- 6.2 Head Mounted Display
- 6.2.1 Global Smart Eyewear Technology Market by Head Mounted Display, 2022 – 2030 (USD Billion)
- 6.3 Mixed Reality Holographic Displays
- 6.3.1 Global Smart Eyewear Technology Market by Mixed Reality Holographic Displays, 2022 – 2030 (USD Billion)
- 6.4 Assisted Reality Glasses
- 6.4.1 Global Smart Eyewear Technology Market by Assisted Reality Glasses, 2022 – 2030 (USD Billion)
- 6.1 Global Smart Eyewear Technology Market overview: By Product
- Chapter 7. Global Smart Eyewear Technology Market – Operating System Analysis
- 7.1 Global Smart Eyewear Technology Market overview: By Operating System
- 7.1.1 Global Smart Eyewear Technology Market share, By Operating System, 2021 and 2030
- 7.2 Android
- 7.2.1 Global Smart Eyewear Technology Market by Android, 2022 – 2030 (USD Billion)
- 7.3 iOS
- 7.3.1 Global Smart Eyewear Technology Market by iOS, 2022 – 2030 (USD Billion)
- 7.4 Windows
- 7.4.1 Global Smart Eyewear Technology Market by Windows, 2022 – 2030 (USD Billion)
- 7.1 Global Smart Eyewear Technology Market overview: By Operating System
- Chapter 8. Global Smart Eyewear Technology Market – End User Analysis
- 8.1 Global Smart Eyewear Technology Market overview: By End User
- 8.1.1 Global Smart Eyewear Technology Market share, By End User, 2021 and 2030
- 8.2 Manufacturing
- 8.2.1 Global Smart Eyewear Technology Market by Manufacturing, 2022 – 2030 (USD Billion)
- 8.3 Healthcare
- 8.3.1 Global Smart Eyewear Technology Market by Healthcare, 2022 – 2030 (USD Billion)
- 8.4 Military & Defense
- 8.4.1 Global Smart Eyewear Technology Market by Military & Defense, 2022 – 2030 (USD Billion)
- 8.5 Transportation & Logistics
- 8.5.1 Global Smart Eyewear Technology Market by Transportation & Logistics, 2022 – 2030 (USD Billion)
- 8.6 Construction & Architecture
- 8.6.1 Global Smart Eyewear Technology Market by Construction & Architecture, 2022 – 2030 (USD Billion)
- 8.7 Gaming Industry
- 8.7.1 Global Smart Eyewear Technology Market by Gaming Industry, 2022 – 2030 (USD Billion)
- 8.8 Others
- 8.8.1 Global Smart Eyewear Technology Market by Others, 2022 – 2030 (USD Billion)
- 8.1 Global Smart Eyewear Technology Market overview: By End User
- Chapter 9. Smart Eyewear Technology Industry – Regional Analysis
- 9.1 Global Smart Eyewear Technology Industry Regional Overview
- 9.2 Global Smart Eyewear Technology Industry Share, by Region, 2021 & 2030 (USD Billion)
- 9.3. North America
- 9.3.1 North America Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.3.1.1 North America Smart Eyewear Technology Industry, by Country, 2022 – 2030 (USD Billion)
- 9.3.1 North America Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4 North America Smart Eyewear Technology Industry, by Technology, 2022 – 2030
- 9.4.1 North America Smart Eyewear Technology Industry, by Technology, 2022 – 2030 (USD Billion)
- 9.5 North America Smart Eyewear Technology Industry, by Product, 2022 – 2030
- 9.5.1 North America Smart Eyewear Technology Industry, by Product, 2022 – 2030 (USD Billion)
- 9.6 North America Smart Eyewear Technology Industry, by Operating System, 2022 – 2030
- 9.6.1 North America Smart Eyewear Technology Industry, by Operating System, 2022 – 2030 (USD Billion)
- 9.7 North America Smart Eyewear Technology Industry, by End User, 2022 – 2030
- 9.7.1 North America Smart Eyewear Technology Industry, by End User, 2022 – 2030 (USD Billion)
- 9.4. Europe
- 9.4.2 Europe Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4.2.1 Europe Smart Eyewear Technology Industry, by Country, 2022 – 2030 (USD Billion)
- 9.4.2 Europe Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4 Europe Smart Eyewear Technology Industry, by Technology, 2022 – 2030
- 9.4.1 Europe Smart Eyewear Technology Industry, by Technology, 2022 – 2030 (USD Billion)
- 9.5 Europe Smart Eyewear Technology Industry, by Product, 2022 – 2030
- 9.5.1 Europe Smart Eyewear Technology Industry, by Product, 2022 – 2030 (USD Billion)
- 9.6 Europe Smart Eyewear Technology Industry, by Operating System, 2022 – 2030
- 9.6.1 Europe Smart Eyewear Technology Industry, by Operating System, 2022 – 2030 (USD Billion)
- 9.7 Europe Smart Eyewear Technology Industry, by End User, 2022 – 2030
- 9.7.1 Europe Smart Eyewear Technology Industry, by End User, 2022 – 2030 (USD Billion)
- 9.5. Asia Pacific
- 9.5.3 Asia Pacific Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.5.3.1 Asia Pacific Smart Eyewear Technology Industry, by Country, 2022 – 2030 (USD Billion)
- 9.5.3 Asia Pacific Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4 Asia Pacific Smart Eyewear Technology Industry, by Technology, 2022 – 2030
- 9.4.1 Asia Pacific Smart Eyewear Technology Industry, by Technology, 2022 – 2030 (USD Billion)
- 9.5 Asia Pacific Smart Eyewear Technology Industry, by Product, 2022 – 2030
- 9.5.1 Asia Pacific Smart Eyewear Technology Industry, by Product, 2022 – 2030 (USD Billion)
- 9.6 Asia Pacific Smart Eyewear Technology Industry, by Operating System, 2022 – 2030
- 9.6.1 Asia Pacific Smart Eyewear Technology Industry, by Operating System, 2022 – 2030 (USD Billion)
- 9.7 Asia Pacific Smart Eyewear Technology Industry, by End User, 2022 – 2030
- 9.7.1 Asia Pacific Smart Eyewear Technology Industry, by End User, 2022 – 2030 (USD Billion)
- 9.6. Latin America
- 9.6.4 Latin America Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.6.4.1 Latin America Smart Eyewear Technology Industry, by Country, 2022 – 2030 (USD Billion)
- 9.6.4 Latin America Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4 Latin America Smart Eyewear Technology Industry, by Technology, 2022 – 2030
- 9.4.1 Latin America Smart Eyewear Technology Industry, by Technology, 2022 – 2030 (USD Billion)
- 9.5 Latin America Smart Eyewear Technology Industry, by Product, 2022 – 2030
- 9.5.1 Latin America Smart Eyewear Technology Industry, by Product, 2022 – 2030 (USD Billion)
- 9.6 Latin America Smart Eyewear Technology Industry, by Operating System, 2022 – 2030
- 9.6.1 Latin America Smart Eyewear Technology Industry, by Operating System, 2022 – 2030 (USD Billion)
- 9.7 Latin America Smart Eyewear Technology Industry, by End User, 2022 – 2030
- 9.7.1 Latin America Smart Eyewear Technology Industry, by End User, 2022 – 2030 (USD Billion)
- 9.7. The Middle-East and Africa
- 9.7.5 The Middle-East and Africa Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.7.5.1 The Middle-East and Africa Smart Eyewear Technology Industry, by Country, 2022 – 2030 (USD Billion)
- 9.7.5 The Middle-East and Africa Smart Eyewear Technology Industry, 2022 – 2030 (USD Billion)
- 9.4 The Middle-East and Africa Smart Eyewear Technology Industry, by Technology, 2022 – 2030
- 9.4.1 The Middle-East and Africa Smart Eyewear Technology Industry, by Technology, 2022 – 2030 (USD Billion)
- 9.5 The Middle-East and Africa Smart Eyewear Technology Industry, by Product, 2022 – 2030
- 9.5.1 The Middle-East and Africa Smart Eyewear Technology Industry, by Product, 2022 – 2030 (USD Billion)
- 9.6 The Middle-East and Africa Smart Eyewear Technology Industry, by Operating System, 2022 – 2030
- 9.6.1 The Middle-East and Africa Smart Eyewear Technology Industry, by Operating System, 2022 – 2030 (USD Billion)
- 9.7 The Middle-East and Africa Smart Eyewear Technology Industry, by End User, 2022 – 2030
- 9.7.1 The Middle-East and Africa Smart Eyewear Technology Industry, by End User, 2022 – 2030 (USD Billion)
- Chapter 10. Company Profiles
- 10.1 Google Inc.
- 10.1.1 Overview
- 10.1.2 Financials
- 10.1.3 Product Portfolio
- 10.1.4 Business Strategy
- 10.1.5 Recent Developments
- 10.2 Microsoft Corporation
- 10.2.1 Overview
- 10.2.2 Financials
- 10.2.3 Product Portfolio
- 10.2.4 Business Strategy
- 10.2.5 Recent Developments
- 10.3 Epson America Inc
- 10.3.1 Overview
- 10.3.2 Financials
- 10.3.3 Product Portfolio
- 10.3.4 Business Strategy
- 10.3.5 Recent Developments
- 10.4 Meta Company
- 10.4.1 Overview
- 10.4.2 Financials
- 10.4.3 Product Portfolio
- 10.4.4 Business Strategy
- 10.4.5 Recent Developments
- 10.5 Samsung Electronics Co. Ltd
- 10.5.1 Overview
- 10.5.2 Financials
- 10.5.3 Product Portfolio
- 10.5.4 Business Strategy
- 10.5.5 Recent Developments
- 10.6 Recon Instruments Inc
- 10.6.1 Overview
- 10.6.2 Financials
- 10.6.3 Product Portfolio
- 10.6.4 Business Strategy
- 10.6.5 Recent Developments
- 10.7 Kopin Corporation
- 10.7.1 Overview
- 10.7.2 Financials
- 10.7.3 Product Portfolio
- 10.7.4 Business Strategy
- 10.7.5 Recent Developments
- 10.8 Sony Corporation
- 10.8.1 Overview
- 10.8.2 Financials
- 10.8.3 Product Portfolio
- 10.8.4 Business Strategy
- 10.8.5 Recent Developments
- 10.1 Google Inc.
List Of Figures
Figures No 1 to 33
List Of Tables
Tables No 1 to 102
Report Methodology
In order to get the most precise estimates and forecasts possible, Custom Market Insights applies a detailed and adaptive research methodology centered on reducing deviations. For segregating and assessing quantitative aspects of the market, the company uses a combination of top-down and bottom-up approaches. Furthermore, data triangulation, which examines the market from three different aspects, is a recurring theme in all of our research reports. The following are critical components of the methodology used in all of our studies:
Preliminary Data Mining
On a broad scale, raw market information is retrieved and compiled. Data is constantly screened to make sure that only substantiated and verified sources are taken into account. Furthermore, data is mined from a plethora of reports in our archive and also a number of reputed & reliable paid databases. To gain a detailed understanding of the business, it is necessary to know the entire product life cycle and to facilitate this, we gather data from different suppliers, distributors, and buyers.
Surveys, technological conferences, and trade magazines are used to identify technical issues and trends. Technical data is also gathered from the standpoint of intellectual property, with a focus on freedom of movement and white space. The dynamics of the industry in terms of drivers, restraints, and valuation trends are also gathered. As a result, the content created contains a diverse range of original data, which is then cross-validated and verified with published sources.
Statistical Model
Simulation models are used to generate our business estimates and forecasts. For each study, a one-of-a-kind model is created. Data gathered for market dynamics, the digital landscape, development services, and valuation patterns are fed into the prototype and analyzed concurrently. These factors are compared, and their effect over the projected timeline is quantified using correlation, regression, and statistical modeling. Market forecasting is accomplished through the use of a combination of economic techniques, technical analysis, industry experience, and domain knowledge.
Short-term forecasting is typically done with econometric models, while long-term forecasting is done with technological market models. These are based on a synthesis of the technological environment, legal frameworks, economic outlook, and business regulations. Bottom-up market evaluation is favored, with crucial regional markets reviewed as distinct entities and data integration to acquire worldwide estimates. This is essential for gaining a thorough knowledge of the industry and ensuring that errors are kept to a minimum.
Some of the variables taken into account for forecasting are as follows:
• Industry drivers and constraints, as well as their current and projected impact
• The raw material case, as well as supply-versus-price trends
• Current volume and projected volume growth through 2030
We allocate weights to these variables and use weighted average analysis to determine the estimated market growth rate.
Primary Validation
This is the final step in our report’s estimating and forecasting process. Extensive primary interviews are carried out, both in-person and over the phone, to validate our findings and the assumptions that led to them.
Leading companies from across the supply chain, including suppliers, technology companies, subject matter experts, and buyers, use techniques like interviewing to ensure a comprehensive and non-biased overview of the business. These interviews are conducted all over the world, with the help of local staff and translators, to overcome language barriers.
Primary interviews not only aid with data validation, but also offer additional important insight into the industry, existing business scenario, and future projections, thereby improving the quality of our reports.
All of our estimates and forecasts are validated through extensive research work with key industry participants (KIPs), which typically include:
• Market leaders
• Suppliers of raw materials
• Suppliers of raw materials
• Buyers.
The following are the primary research objectives:
• To ensure the accuracy and acceptability of our data.
• Gaining an understanding of the current market and future projections.
Data Collection Matrix
| Perspective | Primary research | Secondary research |
| Supply-side |
|
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| Demand-side |
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Market Analysis Matrix
| Qualitative analysis | Quantitative analysis |
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List of the prominent players in the global Smart Eyewear Technology market:
- Google Inc.
- Microsoft Corporation
- Epson America, Inc
- Meta Company
- Samsung Electronics Co., Ltd
- Recon Instruments, Inc
- Kopin Corporation
- Sony Corporation
- Others
FAQs
The global Smart Eyewear Technology market size was valued at USD 9 billion in 2021 and it is projected to reach around USD 33 billion by 2030.
The global Smart Eyewear Technology market is expanding growth with a CAGR of approximately 19% during the forecast period (2022 to 2030).
The key players operating in the Smart Eyewear Technology market are Google Inc., Microsoft Corporation, Epson America, Inc, Meta Company, Samsung Electronics Co., Ltd, Recon Instruments, Inc, Kopin Corporation, Sony Corporation, and Others.
The benefit of it is that the users can see via the waveguide instead of a display or monitor, which would compromise their eyesight. These glasses may also be produced rather cheaply and are very light. Such developments are expected to propel the demand for the Smart Eyewear Technology market.
“North America” region will lead the global Smart Eyewear Technology market during the forecast period 2022 to 2030.
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