Call Noise Reduction AI Glasses Industry Research: Reach USD 1216 Million by 2031 with 17.3% CAGR

According to QYResearch's new study, Global Call Noise Reduction AI Glasses Market Outlook, In-Depth Analysis & Forecast to 2031, the global market is set to expand from US$404 million in 2024 to US$1,216 million by 2031, representing a 17.3% CAGR from 2025-2031. Over the last two years, breakthroughs in noise reduction technology and multimodal AI integration have transformed these glasses from a niche product into a mainstream solution for both consumers and enterprises.

Based on recent pricing and teardown estimates, mainstream call-noise-reduction AI glasses such as Ray-Ban | Meta (MSRP ~$299) carry an estimated BOM (hardware) cost of about $135-$164 per unit-implying per-unit gross profit of roughly $135-$164 and a gross profit margin of ~45.2%-54.8% before distribution, channel, warranty, and marketing costs.

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Latest Developments in 2024-2025

· Meta & EssilorLuxottica reported that Ray-Ban | Meta smart glasses surpassed 2 million units sold by early 2025, following one million sales in 2024. With a 5-microphone array and advanced denoising algorithms, they set a new benchmark for clear calling even in windy outdoor conditions. Production capacity is expected to reach 10 million units annually by 2026.

· Solos launched AirGo Vision in late 2024, integrating multimodal GPT-4o features. Its modular design allows camera or non-camera frames, supporting live search, translation, and enhanced call audio.

· Envision updated its glasses in May 2025 with a tighter integration of its ally AI assistant, delivering improved video call clarity and accessibility for visually impaired users.

· Huawei expanded availability of Eyewear 2, equipped with dual microphones, a wind-noise-resistant duct, and 9 hours of continuous calling.

· Rokid Max emphasized dual noise-canceling microphones combined with AR display functions, pushing the standard for enterprise-friendly call quality.

Market Data

· Market size: US$404 million in 2024 → US$1,216 million in 2031

· CAGR (2025-2031): 17.3%

· Regions covered: North America, Europe, Asia-Pacific, South America, Middle East & Africa

· Segmentation: By type (Algorithmic Noise Reduction; Physical Setting Noise Reduction; Comprehensive Noise Reduction) and by application (Home Use; Commercial Use)

Leading Companies

Meta/Ray-Ban
Apple
Brilliant Labs
Rayneo
Nreal (XREAL)
INMO
Rokid
Huawei
Solomon
Solos
Envision

Applications

Home Use
Commercial Use

Classification

Algorithmic Noise Reduction
Physical Setting Noise Reduction
Comprehensive Noise Reduction

Product Highlights

Ray-Ban | Meta Smart Glasses (2nd Gen)

· Five-microphone array for advanced beamforming and noise suppression

· Qualcomm Snapdragon AR1 Gen1 processor

· 12MP camera with live-streaming capability

· Over 2 million units sold by early 2025

Huawei Eyewear 2

· Nine hours of call endurance

· Dual-mic layout with wind-noise-resistant duct

· Smart call noise-cancellation algorithm

· IP54 splash resistance

Solos AirGo Vision

· GPT-4o powered multimodal integration

· Live search, translation, memory functions

· Modular camera and non-camera frames

· Enhanced audio pickup for clear calling

Rokid Max

· Two noise-canceling microphones

· Dual micro-OLED display, 120 Hz refresh

· Beamformed voice control in noisy conditions

· Optimized for AR entertainment and enterprise use

Envision Glasses

· Companion hands-free video call feature

· 8MP camera, 1080p video

· Integrated ally AI assistant for 2025

· Reliable calling for visually impaired users

Downstream Customers

DHL Supply Chain
Porsche Cars North America
Boeing
Volkswagen Group UK
Honeywell
TotalEnergies
Rail Cargo Group
Provide Community UK
Schneider Electric
Burns & McDonnell
Con Edison
Lenovo
Shell
Siemens
ABB

Market Trend

AI-Driven Beamforming Becomes Standard

Multi-microphone beamforming with AI denoising is now a baseline feature. Ray-Ban | Meta's five-mic design, Huawei's wind-resistant duct, and Rokid's dual noise-canceling mics demonstrate how companies are prioritizing intelligible calls in real-world noisy environments.

Sales Momentum Reaches Mass Market

After years of niche adoption, global shipments more than doubled in 2024-2025. Ray-Ban | Meta alone crossed 2 million units by early 2025. With volume rising, costs are declining, enabling broader consumer and enterprise uptake.

Multimodal AI Expands Use Cases

Integration of vision-based AI with voice assistants is defining 2025. Solos' GPT-4o-enabled glasses and Meta's multimodal updates allow real-time translation, scene description, and reading assistance, all dependent on reliable call-quality microphones.

Enterprise Deployments Anchor ROI

Field services, logistics, and energy sectors depend on robust audio and video calling. Case studies from DHL, Porsche, and TotalEnergies demonstrate measurable reductions in downtime and cost, proving the economic case for adoption.

Fashion-Forward Partnerships Drive Acceptance

Collaboration with eyewear leaders like EssilorLuxottica ensures that smart glasses look like everyday glasses, broadening consumer adoption beyond early tech adopters to mainstream commuters and professionals.

Asia-Pacific Growth Accelerates

China, Japan, and South Korea are emerging as high-growth regions. Companies like Huawei, Rokid, and XREAL are expanding aggressively, targeting commuters who value long battery life, call clarity, and AR functions in dense urban environments.

Chips and Platforms Enable Stability

Qualcomm's AR1 Gen1 platform powers several flagship devices, delivering efficient audio and AI pipelines. At the software level, compatibility with mainstream platforms like Teams and Zoom ensures seamless integration for both consumer and enterprise users.

Executive Takeaway

Call noise reduction AI glasses are moving rapidly from experimental wearables to essential devices. Clear calling is no longer a side feature but the foundation of adoption, enhanced by AI multimodal functions and enterprise deployment models. With consumer adoption crossing millions of units and enterprise ROI validated in logistics, energy, and automotive, this market is well positioned to triple in size by 2031.

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