AI Eyewear in China's Pearl River Delta: How Small ODMs Are Winning With Partnerships and Fast Iteration
Small and mid-sized AI eyewear makers in the Pearl River Delta are gaining ground through a practical mix: partner with brands to scale, and ship their own devices on short cycles. The playbook is lean, direct, and focused on cash flow and speed.
Partnerships First, Products Second
Dongguan-based Antavic is an original design manufacturer doubling down on brand tie-ups to reduce risk and broaden volume. The firm is expanding with a new factory and met four major clients in one day at its Shenzhen office-clear evidence of demand for private-label builds and consumer-facing products.
An AI translation eyewear device priced at CNY119 (about USD16) performed well during Double 11 on Douyin Mall. That kind of low-cost SKU gives partners a quick entry point and keeps Antavic's lines busy between larger launches.
Lean R&D, Six-Month Cadence
Development budgets for new AI glasses sit under CNY10 million (about USD1.41 million), with design refreshes hitting every six months. That's a workable rhythm for small teams: quick cycles, clear cost ceilings, and constant feature refinement.
There are about six to eight SMEs in the region capable of full AI eyewear development. Most are pursuing similar partner-first strategies-scale through ODM contracts while validating their own SKUs in parallel.
Feature-Price Ladder That Actually Sells
Antavic launched AI glasses with translation and navigation in July at CNY599 (about USD85). Monthly shipments have exceeded 20,000 units since. Next up: a December model at CNY399 with better translation and navigation than the pricier version.
Takeaway for product teams: price compression is constant, so performance gains must outpace BOM reductions. Plan your feature-price ladder ahead of launch and pre-negotiate component options to protect margins as you step down price tiers.
Domestic Chips Are Ready
Local silicon is maturing, giving brand owners and manufacturers more low-cost, high-value options. For example, AI camera glasses set to launch early next year will use chips from Guangzhou-based Anyka Microelectronics. Lower chip costs plus better power efficiency make room for features that matter to users-reliable translation, crisp capture, stable navigation-without blowing the BOM.
Anyka Microelectronics and similar suppliers are now credible defaults for this category.
What Product Teams Should Do Now
- Design for two lanes: a partner-ready ODM baseline and a branded SKU with premium features. Share as many modules as possible.
- Lock a six-month release plan: treat each cycle as a measurable sprint-feature add, cost step-down, or both.
- Build a feature-price ladder: CNY599 → CNY399 tiers with clear user benefits at each step. Keep translation and navigation quality as headline metrics.
- Pre-wire chip alternatives: qualify at least two domestic silicon options to protect supply and pricing.
- Use event-driven sales peaks: optimize for Double 11-style surges and Douyin Mall traffic with promo-specific bundles and inventory buffers.
- Instrument real usage: track translation accuracy, battery endurance, and time-to-first-response. Marketability follows reliability.
Key Numbers at a Glance
- R&D for a new AI glasses model: under CNY10 million.
- Design update cadence: every six months.
- Pearl River Delta capable SMEs: ~6 to 8.
- July launch: CNY599 translation/navigation glasses; 20,000+ units shipped monthly.
- December plan: CNY399 model with improved translation and navigation.
- Entry SKU success: CNY119 translation eyewear sold well during Double 11 on Douyin Mall.
Looking Ahead to 2026
International Data Corp expects 2026 to be a turning point for smart glasses in China, with changes across product design, user interaction, and service models. Plan now for new input modes, on-device AI improvements, and post-sale service layers tied to software updates.
IDC has been tracking the category and signals real shifts coming-teams that align roadmaps and supplier bets over the next 18 months will be positioned to win.
Next Step for Your Team
If you're aligning product, engineering, and go-to-market around AI-driven devices and services, a shared skills baseline speeds everything up. Explore curated learning paths by role here:
Complete AI Training - Courses by Job
Your membership also unlocks: