Decoding China's AI Glasses Market: Who's Buying, Why, and What's Next?

A comprehensive report released by iResearch Inc. (艾瑞咨询), a leading Chinese market research firm, provides a deep dive into the country's rapidly evolving AI glasses industry. Titled "2025 China AI Glasses Industry Research Report — How Far Are We from the Next 'iPhone Moment'?", the study analyzes the entire industry landscape, from technology and manufacturing to market trends and key players. The findings offer a crucial window into a market poised for explosive growth, driven by technological advancements and shifting consumer behaviors.

This article presents the complete, translated findings from the report's "Consumer Insights" section. Based on a quantitative survey of 868 Chinese consumers conducted in May 2025, this analysis details user demographics, purchasing motivations, brand perceptions, and expectations for the future of AI glasses. It offers an unfiltered look at what Chinese consumers, from early adopters to interested observers, think about this next-generation wearable technology.

Consumer Research Methodology

This consumer survey was conducted via an online research community to gather a sample, utilizing quantitative research methods. The study aimed to conduct a multi-dimensional investigation into consumers who are interested in or have purchased smart glasses within the last year, focusing on user profiles, awareness of smart glasses, purchasing preferences of existing customers, and the awareness levels and demands of interested potential customers. The survey was fielded in May 2025 across mainland China, targeting 868 users who have either purchased or are interested in smart glasses. The sample structure adhered to minimum quotas for city tiers and geographical regions, while demographics such as gender and age were based on natural inflow.

Profile of Surveyed Users

The primary respondents of this survey are predominantly male, aged 31-40, residing in higher-tier cities in the East and North China regions, and are either interested in or have already purchased smart glasses.

The user profile breakdown reveals that males constitute 61.3% of respondents. The largest age group is 31-40 years old, accounting for 43.0% of the sample, followed by the 41-50 age group at 19.1% and the 18-30 age group at 15.9%. A significant majority of respondents, 69.5%, already wear corrective eyeglasses. In terms of life stage, 46.2% are in the parenting stage, and 29.3% are married without children.

Geographically, respondents are concentrated in East China (32.7%) and North China (22.2%). The distribution by city tier shows a strong representation from higher-tier urban centers, with 30.3% from new first-tier cities, 23.8% from first-tier cities, and 21.3% from second-tier cities. Regarding personal monthly income, the largest segment (46.0%) earns between 6,000 and 12,000 RMB, while 26.2% earn between 12,000 and 18,000 RMB.

User Awareness of Smart Glasses is Diverse, with Big Brands Having an Edge

User awareness of AI glasses is formed through diverse channels. Currently, VR glasses have higher recognition, and major cross-industry brands more easily capture consumer attention.

The survey results show three key characteristics of consumer awareness. First, regarding information channels, social media demonstrates significant reach, with 66.9% of users obtaining product information this way, surpassing technology reviews by 22 percentage points. In contrast, offline channels, including in-store experiences and promotions, have a combined penetration of less than 70%, indicating an experience gap.

Second, in terms of category awareness, VR smart glasses hold a first-mover advantage with 79.4% of users having a deep awareness of them. There is still room for growth in market education for AR and AI glasses categories.

Third, in brand awareness, Huawei Technologies Co., Ltd. (华为技术有限公司), Xiaomi Corporation (小米集团), and Google LLC together account for over half of the mindshare. Major cross-industry brands demonstrate a distinct advantage in gaining recognition compared to the more numerous vertical-specific professional manufacturers. Huawei leads with 23.8% recognition, followed by Xiaomi (17.3%), Google (15.3%), RayNeo (雷鸟创新) (7.7%), Meta Platforms, Inc. (6.5%), Xinger Wujiang (行者无疆) (5.8%), Thunderobot Technology Co., Ltd. (雷神科技) (4.0%), Even Reality (逸文科技) (3.0%), DreamSmart Group (星纪魅族集团) (2.9%), and Baidu, Inc. (百度) (2.2%).

Smart Glasses Market Shows Huge Potential, Especially for AI Models

The smart glasses market possesses significant potential. Consumers show a notably higher acceptance of smart glasses with AI functions and are willing to spend on such products.

The research indicates that nearly 61% of respondents have either purchased or plan to purchase smart glasses, demonstrating a broad market base. In a breakdown of purchase interest by sub-category, AI-enabled glasses show a collective purchase intent of nearly 40%, significantly higher than the interest in VR glasses or AR glasses without AI functions.

Among buyers and those planning to buy, AI audio glasses are the most popular category (47.4% purchased vs. 49.7% planning to buy), followed closely by AI display glasses (41.9% vs. 47.5%).

Regarding price perception, the 2,001-3,000 RMB price range is the most widely accepted by consumers, endorsed by 33.4% of respondents. This is followed by the 1,001-2,000 RMB range at 26.8%. Considering that the median personal monthly income of respondents falls between 9,000 and 12,000 RMB, consumers exhibit a relatively high price tolerance for smart glasses.

Buyers Show High Interest in AI Glasses and Prefer Mid-Range Prices

When purchasing AI smart glasses, users show high interest, primarily focus on the mid-price segment, and are willing to accept prices slightly above their initial budget.

Survey data reveals that over half (52.4%) of existing owners have at least one pair of AI smart glasses, and over 40% own two to three pairs, indicating a high willingness to try and continuously invest in upgrading their devices. The 2,000-4,000 RMB price segment is the primary range for actual spending, with 27.7% spending between 2,000-3,000 RMB and another 27.7% spending between 3,000-4,000 RMB. This shows that users generally accept the price positioning of AI smart glasses and are willing to pay a premium that slightly exceeds their budget.

In terms of purchase channels, while online e-commerce platforms are the main channel (61.5%), social commerce (41.1%) and offline experience channels (38.1%) hold significant importance. This highlights the influence of user experience and social recommendations on purchase decisions and the trend toward integrated online-offline retail.

Purchasers Prioritize Functionality and Ecosystem When Buying AI Glasses

Functional requirements are key to consumer decision-making. A comfortable experience, multi-modal communication, and natural interaction are the primary directions users focus on when buying AI glasses.

The analysis of purchasing decisions among existing owners shows that functionality is the top consideration, cited by an overwhelming 51.5% of respondents. This reflects consumers' core expectations for a smart wearable terminal. Appearance and design follow at 36.8%, while a complete ecosystem of accessories (33.3%) and after-sales service (26.0%) are also crucial drivers that complete the consumer journey.

• Key Functionality: Users prioritize audio playback and call functions (56.3%), photography and videography (45.5%), AI interaction features (39.8%), and navigation/location services (39.8%).
• Key Design Aspects: Users are most concerned with experience-related design elements, including the position of input/output components (49.8%), similarity in appearance to conventional glasses (43.7%), material (42.9%), and the visual effect of the lenses (42.0%).
• Key Components: The most critical hardware components for purchasers are those enabling AI interaction (55.4%), followed by sensors (48.9%) and lenses (44.2%).

These preferences indicate that a lightweight and comfortable experience, multi-modal communication, and natural interaction are the central focus for consumers.

Purchasers Rate Current AI Glasses Experience Highly

AI glasses have already gained a high level of user approval, performing particularly well in audio-visual experience, though battery life has room for optimization and user needs show significant differentiation.

Data from the survey shows that over 85% of users wear their AI glasses either daily or multiple times per week. Nearly 40% of users (38.5%) use them primarily for leisure and entertainment, followed by work scenarios (24.7%) and daily life (22.1%).

In terms of experience evaluation, over 90% of users expressed satisfaction or relative satisfaction with their AI glasses. The devices performed well in areas like audio effects (cited as a reason for satisfaction by 55.1% of happy users) and interaction convenience (45.9%). However, there were notable points of dissatisfaction, including battery life (cited as a flaw by 50.0% of unhappy users) and diversity of functions (41.7%). Opinions on wearing comfort and display effects were mixed, indicating distinct needs among different user groups. Among dissatisfied users, 58.3% found them uncomfortable to wear, and 41.7% cited poor display effects.

Purchasers Show Strong Repurchase and Recommendation Intent

Consumers who have purchased AI glasses have a strong willingness to repurchase and are potential "evangelists" with the power to educate the market.

The survey results show that over half (51.9%) of existing owners plan to repurchase or upgrade their AI glasses within a year. This reflects a sustained demand and high approval for the product category, as well as the strong appeal of product iterations. Furthermore, 88.7% of buyers expressed a strong willingness to recommend their current AI glasses to others. These pioneer consumers could become powerful communicators during the early stages of category development, possessing significant marketing value. To foster continued market growth, the AI glasses market should not only strengthen technological iteration but also reinforce the social currency of the product among high-recommending user circles, establish incentive systems for them, and launch trial programs for neutral users to increase market education and penetration.

Interested Customers Have Some Awareness but also Purchase Hesitations

Interested potential customers have some awareness of AI glasses but harbor doubts regarding price, functional performance, and privacy. A clear demand for convenience and integrated, multifunctional devices is apparent.

The majority of interested non-buyers have some knowledge of the product: 11.3% follow it closely, while only 6.1% are almost completely unaware, indicating that initial market publicity has been effective in building a baseline of consumer awareness.

However, key concerns that prevent them from purchasing include high product prices (50.9%), the need for improved hardware and software performance (46.2%), and data privacy/security issues (40.5%).

• Design Preferences: Weight (53.8%), lens display effect (45.7%), appearance style (42.4%), and similarity to regular glasses (41.6%) are the most valued design factors. Consumers hope AI glasses can match the wearing experience of conventional glasses while offering good display performance.
• Functional Interests: AI interaction (44.7%), real-time translation (43.5%), and photography/videography (42.5%) are the most sought-after functions, reflecting a demand for convenience and the integration of diverse capabilities into a single device.

Product Iterations, Value, and Promotions are Key to Converting Interested Customers

Price advantages and technological selling points are likely to drive purchases, while ecosystem compatibility and integration into diverse life scenarios are key concerns for interested customers.

The survey shows that over half of interested customers would be enticed to buy by product iterations (55.1%), better cost-performance (53.7%), and promotional offers (53.7%). These findings highlight price advantage and technological features as critical purchase drivers. Word-of-mouth recommendations (45.8%) and trial events (37.5%) are also important levers for alleviating concerns about product effectiveness and privacy.

When it comes to product updates, interested customers are not only focused on tech specs and richer features but are also eager for products that can integrate into more of their daily life scenarios, with 45.0% prioritizing ecosystem compatibility (e.g., smart device linkage, payment functions). Regarding promotional activities, official support and platform-exclusive discounts are highly attractive. Government subsidies, such as trade-in programs, are most favored (43.0%), followed by platform events like pre-sales and member-exclusive deals (23.9%).

"Deeply Interested" Customers Favor Online Convenience, Offline Experience, and Domestic Brands

"Deeply interested" customers (those planning to buy in the next year) prefer the convenience of online channels but also value offline experiences. Strong, traditional domestic brands hold significant appeal.

In their future purchase channel choices, online platforms will be dominant for this group (61.0%). However, offline experience stores or brand-exclusive stores were also selected by over 50% of these respondents, indicating that while online platforms offer convenience, consumers still value physical interaction with the product.

Brand preference is highly concentrated. Huawei (47.2%) and Xiaomi (43.7%) are the top choices for planned purchases, creating a significant gap with competitors. This illustrates that well-known domestic tech brands, leveraging their technological reputation and brand power, have a strong influence on consumer choices in this emerging category. RayNeo (27.7%) came in third.

Purchase Decisions for "Deeply Interested" Customers are Driven by Function and Price, with High Expectations for Battery Life

"Deeply interested" customers consider multiple factors when choosing a specific AI glasses model, with functionality and price being the most important, and they have high expectations for battery life.

When making a purchase decision for a single AI glasses product, this group is most concerned with the completeness of functions (45.9%) and price (42.1%). However, as this is a relatively new category, consumers consider a wide range of factors, including appearance (37.4%), brand reputation (35.2%), and battery life (34.0%).

Regarding battery life, 52.0% of "deeply interested" customers expect a duration of 4-8 hours, while a significant 42.7% expect it to exceed 8 hours. This indicates a considerable gap between the performance of currently available products and consumer expectations.

Purchasers and Interested Customers Share Common Ground and Differences in Expectations

Both user groups prioritize safety, light weight, and natural materials. However, interested customers show a stronger appetite for innovation and personalization compared to current owners.

Whether they are existing owners or potential customers, demand for AI glasses focuses on several key areas.

• Appearance Style: A lightweight, tech-focused style is favored by both groups (25.0% of purchasers, 27.8% of potential customers). Classic fashionable designs are also popular.
• Lens Material: Both groups lean toward lightweight and safe materials, with resin and PC (polycarbonate) being popular choices. Resin is the top pick for both purchasers (34.3%) and potential customers (32.5%). A notable difference is the strong preference among current owners for natural crystal lenses (30.3%), compared to only 13.7% of potential customers.
• Frame Material: Both groups prefer metal materials (34.3% of purchasers, 34.9% of potential customers), with polymer chemical materials being the second most popular option.

These findings show that consumer demand for AI glasses is characterized by a blend of practicality and aesthetics. Safety, light weight, and natural materials are common priorities, while potential customers display a greater openness to innovation and personalized features than current users.