AI眼镜 还在证明自己

The smart glasses industry is currently experiencing rapid growth but has not yet reached mass adoption. Below is key information and purchasing guidance for general consumers:

1. Industry Growth: Global smart glasses shipments are projected to reach 14.773 million units in 2025, up 44.2% year-over-year, while China’s market will ship 2.46 million units, an 87.1% year-over-year increase. IDC forecasts global shipments will exceed 23.68 million units and China’s shipments will top 4.915 million units in 2026. However, the industry remains far from the "iPhone moment" of 100 million+ annual shipments and has not yet become a mass-market necessity.

2. Pricing & Discounts: Currently, non-display smart glasses focused on audio and photography are mostly priced between $140 and $280 (1,000-2,000 RMB), while display-equipped models generally cost between $420 and $560 (3,000-4,000 RMB), putting the price watershed around $420 (3,000 RMB). Starting from 2026, consumers purchasing a single pair of smart glasses priced under $840 (6,000 RMB) will qualify for a 15% national subsidy, capped at $70 (500 RMB). When combined with platform discounts, some products will see price cuts of over $140 (1,000 RMB), significantly lowering the barrier to entry.

3. Core Functions: Existing products already offer features including translation, photography, navigation, payment and teleprompter support, but the industry has yet to settle on a universally recognized killer must-have feature. Consumers can choose products based on their individual needs.

The smart glasses track is still in a period of high incremental growth, with industry structure yet to take shape. Below is key guidance for brands:

1. Market & Consumer Trends: The global market continues to expand, and China’s market is seeing widespread participation from a diverse range of players. Brands can position themselves in niche segments including display-equipped AI glasses, AI photography glasses, and smart audio glasses, as no垄断 leader has emerged yet. Beyond tech companies, opportunities exist for fashion brands and traditional eyeglass makers to enter the market.

2. Pricing & Cost Benchmarks: Waveguide technology accounts for 30% of an AI glass’ total production cost. As the supply chain matures, the industry’s average selling price (ASP) continues to decline, projected to hit $351 (2,507 RMB) in 2026 and fall by nearly 40% by 2030. Brands should develop product lines across multiple price points to cover different user segments.

3. Product R&D Directions: With no industry-wide consensus on a killer application, brands should prioritize exploring niche use cases such as business translation and teleprompter, cultural tourism navigation, elder care assistance, AI payment, and proactive AI assistants. Brands can also leverage policy incentives and test new market cultivation models such as rental and trial programs.

Smart glasses are currently a high-growth blue ocean market. Below is guidance on policies, opportunities and risks for sellers:

1. Policy Tailwinds: Starting from 2026, individual consumers purchasing a single pair of smart glasses priced under $840 (6,000 RMB) qualify for a 15% national subsidy, capped at $70 (500 RMB) per unit. The Ministry of Commerce has also released official policy supporting the cultivation of the smart glasses consumer market, encouraging new product promotion and scenario innovation. These policies will directly drive growth in consumer demand.

2. Market Opportunities: China’s smart glasses shipments grew 87.1% year-over-year in 2025, and domestic retail sales rose 96% year-over-year in the first quarter of 2026, outpacing growth in most consumer electronics categories. Demand is diversified, with market space for both high-end functional models and entry-level alternatives, serving diverse user groups including tech enthusiasts, fashion-focused consumers, and the senior population. This creates broad product selection opportunities for sellers.

3. Risk Warnings: The industry structure is still unsettled, with no killer application that has been validated by large-scale user adoption. Current growth is driven by the combined force of price cuts, policy subsidies, and brand marketing, so its sustainability remains unproven. Sellers should prioritize products aligned with mainstream feature iterations and avoid technically immature offerings.

The smart glasses industry is in a period of rapid growth. Below is guidance on production design and business opportunities for factories:

1. Production & Design Requirements: Market demand is clearly segmented: non-display audio and photography glasses focus on lightweight design and cost-effectiveness for mass consumers, while display-equipped AI/AR glasses prioritize functional experience for tech enthusiasts. Most mainstream products currently weigh less than 50g, and consumers are highly sensitive to product weight, so lightweight design should be the top priority in production and development. On the cost side, waveguide accounts for 30% of total cost, so factories should follow technology iterations to reduce costs and adapt to the industry’s downward price trend.

2. Business Opportunities: Nearly 70 companies have entered the industry in the past two years, with an average of one new product launched every 9 days, creating strong demand for foundry manufacturing. Market participants are diversified: beyond tech brands, fashion brands, traditional eyeglass makers, and Shenzhen-based electronics suppliers are all entering the market, creating strong demand for production of entry-level alternative products. Factories can partner with different types of clients to take on orders.

3. E-commerce & Digitalization Insights: Most product sales currently come through e-commerce channels. Factories can align production plans with e-commerce sales data, adjust production capacity flexibly to match market demand amid policies like national subsidies and platform discounts.

The smart glasses industry is in the early stages of rapid growth. Below is guidance on industry trends, client pain points and opportunities for service providers:

1. Industry Development Trends: Smart glasses are widely expected to become the next-generation human-computer interaction entrance, with global shipments growing at a sustained high rate and China’s market growth nearly doubling. Industry players are increasingly diversified, expanding from large tech companies to fashion brands and traditional eyeglass makers. Ecosystem building has emerged as a new direction: leading domestic brand Rokid has already opened its developer ecosystem, which has attracted more than 33,000 developers to date.

2. Core Client Pain Points: Brands are still exploring killer applications and lack core functionality validated by large-scale users, creating demand for AI technology and niche scenario solutions. End consumers are highly price-sensitive, pushing brands to cut costs, while also demanding higher interaction quality. Balancing the utility and intrusiveness of proactive AI assistants creates significant challenges for experience refinement.

3. Market Opportunities: Service providers can focus on developing technical solutions for niche scenarios such as cultural tourism guidance, elder care assistance, and business translation. They can also provide supporting services for developer ecosystems, follow technology iterations for AI payment and on-device AI models, and provide technical support for brands to share in the industry’s growth dividend.

Smart glasses are a fast-growing emerging consumer electronics category. Below is guidance on demand and operational direction for marketplace operators:

1. Category Demand: Nearly 70 companies have entered the smart glasses track in the past two years, with an average of one new product launched every 9 days, creating strong demand for sales and promotion from brands. Consumer demand is growing rapidly: domestic smart glasses retail sales rose 102% year-over-year in the first quarter of 2026, and consumer awareness is gradually increasing, making the category suitable for key cultivation by platforms.

2. Actionable Operational Strategies: Platforms can launch their own discounts to complement the national smart glasses subsidy policy, combining with government subsidies to lower the entry barrier for consumers. E-commerce platform JD.com has already driven sales growth through an 8-9% discount on eligible products. Platforms can also release official sales ranking lists to help consumers reduce decision-making costs and improve conversion rates.

3. Operations & Risk Mitigation: The category is still taking shape, with large variations in product functionality and price points, so platforms should implement clear category segmentation to help consumers find products easily. They can also respond to policy calls to test new models such as rental and trial programs to lower the consumer experience barrier and cultivate the market. At the same time, since the sustainability of current category growth remains unproven, platforms should cultivate the category gradually and avoid over-investing resources.

The smart glasses industry is in the early stage of development, with many emerging trends and unresolved issues. Below is a summary of core research findings:

1. New Industry Trends: Global smart glasses shipments continue to grow at a high rate, and China’s market features a diverse competitive landscape with participation from a wide range of players including large tech companies, AR startups, fashion brands, traditional eyeglass makers, and even Shenzhen-based aftermarket suppliers. Competition in the track has shifted from "can you build it" to "who can define the category". Leading brands have already started building developer ecosystems, and the national government has introduced subsidies and consumer support policies to drive industry development.

2. Unresolved Industry Issues: The industry has yet to produce a killer application validated by large-scale user adoption. Current growth is driven by the combination of falling prices, policy support, and brand marketing, so the sustainability of growth remains in question. There is no clear standard for the interaction boundaries of proactive AI assistants, so product experience remains unproven. Category definitions are inconsistent, different brands use varying statistical calibers for claiming "top sales", and unified industry standards have not yet been established.

3. Business Model Exploration: Multiple business models are currently being tested in the industry, including in-house hardware development by tech brands, co-branding between tech and fashion companies, open third-party developer ecosystems, niche scenario customization, and low-cost alternatives. All of these models remain in the exploratory stage and await validation from the market, making the industry worthy of continued tracking and research.