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The AI glasses market faces dual challenges of technology and market adoption, including issues of weight, display效果, visual processing capabilities, and integration with other devices like smartphones. Despite low shipment volumes, market prospects are optimistic with advancements in large - model technology and supply chain maturity.
AI glasses have made progress in Bluetooth functionality, voice interaction, and online assistance, but still face challenges in weight, display效果, and visual understanding. The technology is expected to develop further in 2023, with a focus on deeper integration with large models to enhance practicality and user engagement.
AI glasses manufacturers are set to integrate large models, with differences lying in their integration capabilities. Leading brands like Xiaomi, with strong hardware and ecosystem integration, expect more from their glasses. For example, Xiaomi glasses can control home appliances and provide extended functions beyond basic Q&A, such as stock and financial management, and horoscope information.
The AI glasses market has a low penetration rate, with product functionality and portability being key limiting factors. The market is expected to grow gradually, similar to smartwatches and pads, but has the potential for larger growth if issues are resolved. The competitive landscape includes traditional AR glasses manufacturers, large - model companies, and smartphone vendors, with no single product dominating yet.
In the AI glasses industry chain, ODM vendors provide solutions with thin profits, while brand eyewear companies benefit more from their channels and brand value. Large - model vendors currently have unclear profit models. Brand authorization and cooperation can bring significant benefits, with ODM vendors having profit - making space in large - scale production.
AI glasses offer more natural portability and interaction compared to other display devices, with cameras enabling real - time environmental interaction. They have advantages in scenarios where phones are inconvenient, such as travel and sports, providing navigation and information retrieval.
AI glasses are evolving from single - function to multi - function devices, with challenges in balancing functionality and portability. Lightweight, all - day wearable AI glasses could capture part of the eyewear market. Currently, AI glasses are seen as a new form of wearable device, but their ability to replace smartphones or other hardware remains uncertain.
AI glasses development teams are smaller, typically 100 - 200 people, even in large companies, compared to smartphone and PC teams which can have thousands to tens of thousands of people.
AI glasses have advantages in travel and movement scenarios where phones are not easily accessible, offering lower information loss and higher interaction efficiency. Smartwatches are limited to fitness and health scenarios, while AI glasses can provide broader applications like navigation and real - time information retrieval.
AI glasses currently struggle to display large amounts of information faithfully and have insufficient content services, requiring phone integration. Power consumption issues also prevent 24 - hour battery life, limiting mass adoption.
The main constraints for AI glasses development are display technology limitations, insufficient content services, reliance on phone apps, and high power consumption. These issues need collective efforts across the supply chain for hardware and low - power component advancements.
In the short term, the biggest limitation to AR glasses penetration is the lack of ecosystem support, especially content services. Collaboration among phone manufacturers, content providers, and existing smart device ecosystem providers is needed to enrich applications and solve practical problems.
Content service enhancement typically follows industry standard - setting and association - driven approaches, similar to the mobile phone industry. Future industry alliances may emerge, with companies like Xiaomi deeply involved in promoting AI application ecosystem development.
Brands without ecosystem support need to focus on niche markets or collaborate with larger brands. They might also benefit from the emergence of large - scale system platforms like Android or HarmonyOS.
Appliance giants like Hisense and TCL aim to enhance their products' smart control capabilities through AI glasses and assist in supply chain management. However, they have weaker ecosystem and system - building capabilities, often collaborating with companies like Xiaomi and Doubao.
Brand eyewear stores offer advantages in brand recognition and value, with consumers willing to pay premiums for high - value products. Premium brands like宝岛 and Boshi are preferred for accessories due to their brand image.
The AR glasses market volume in 2024 is expected to increase from the previous year but will not be very high, likely growing by 30% to 50%.