惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

N
News | PayPal Newsroom
H
Hackread – Cybersecurity News, Data Breaches, AI and More
雷峰网
雷峰网
NISL@THU
NISL@THU
V
Vulnerabilities – Threatpost
P
Privacy International News Feed
博客园_首页
P
Privacy & Cybersecurity Law Blog
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
The Cloudflare Blog
Know Your Adversary
Know Your Adversary
小众软件
小众软件
人人都是产品经理
人人都是产品经理
WordPress大学
WordPress大学
博客园 - 聂微东
Hacker News - Newest:
Hacker News - Newest: "LLM"
T
Tor Project blog
C
Cybersecurity and Infrastructure Security Agency CISA
V
V2EX
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
J
Java Code Geeks
M
MIT News - Artificial intelligence
PCI Perspectives
PCI Perspectives
T
The Blog of Author Tim Ferriss
美团技术团队
Jina AI
Jina AI
D
Darknet – Hacking Tools, Hacker News & Cyber Security
L
LINUX DO - 最新话题
Cloudbric
Cloudbric
Webroot Blog
Webroot Blog
V2EX - 技术
V2EX - 技术
爱范儿
爱范儿
S
Securelist
MyScale Blog
MyScale Blog
B
Blog
AI
AI
L
LINUX DO - 热门话题
Security Archives - TechRepublic
Security Archives - TechRepublic
The Register - Security
The Register - Security
I
Intezer
有赞技术团队
有赞技术团队
Google Online Security Blog
Google Online Security Blog
云风的 BLOG
云风的 BLOG
H
Help Net Security
D
DataBreaches.Net
K
Kaspersky official blog
www.infosecurity-magazine.com
www.infosecurity-magazine.com
The Last Watchdog
The Last Watchdog
Attack and Defense Labs
Attack and Defense Labs
酷 壳 – CoolShell
酷 壳 – CoolShell

IDC

IDC On the Ground: Inside GITEX AI Europe 2026's Race to Build Sovereign AI Infrastructure IDC Quanta Launch: The 3-Minute Recap The strategy behind today's launch Dashboards Are Dead: The Future of Business Intelligence Lives in the Workflow Introducing IDC Quanta: The Intelligence Fabric of the AI-Enabled Enterprise How Wearables and AI Will Reshape Healthcare Who operates your meeting rooms now: AV, IT, or an AI agent? Beyond Check-the-Box: Choosing a Security Framework for the AI and Quantum Era DX Software in Transition: AI Investment Trends by Sector Japan's AI Supercycle Is Here — Are You Ready to Lead It? Beyond the Data Dump: Why Cybersecurity Metrics Are Failing, and How AI Fixes It From Wait-and-See to All-In: How SMBs Are Rewriting Their AI Story Your AI Platform Knows the Market. Does It Know Your Business, and Can You Trust It with Your Strategy? Start Here: Six Best Practices for Foundational AI Training Physical AI and Robotics Take Center Stage at Computex Taipei 2026 for Semiconductor Vendors Trump's Quantum EO: What It Means for the U.S. Market The sovereignty conversation vendors need to have - but rarely do Q&A: Your Pipeline Conversion Questions, Answered by IDC Analysts The Intelligence Gap Is Widening. Here's What the Data Says. Anthropic, Trump, and Fable 5: The Dispute That Makes the Case for Frontier AI Studies IDC Quanta: The Next Era of Tech Intelligence The $22.5 Trillion AI Opportunity Why the memory market is still tight: what comes next Indonesia PC Market Grows 9.4% in Q1 2026 Despite Component Pressures But Headwinds Are Building The Dawn of Just-in-Time Software Agent Supplier or Featureware: The Choice Every SaaS Vendor Faces Now SpaceX, Cursor, and the Race to Build the Best Coding LLM in the World NVIDIA Becomes #1 in Datacenter Ethernet Switching as 1Q26 Market Surges 39.8% to $15.4 Billion Wi-Fi 7 Captures 44% of Enterprise WLAN Dependent Access Point Revenue as 1Q26 Market Grows 15.9% to Nearly $2.7 Billion AI Is Ready. Enterprises Are Not. Vendors Need to Fix It. WWDC 2026: Apple’s AI Credibility Test AI Is Making MSPs More Efficient. Here’s How to Share in the Gains. The Dark Funnel: How Answer Engine Optimization is Reshaping B2B Brand Visibility Agentic AI Is Breaking Your ROI Model. Here’s How to Fix It When the Question Can’t Wait: How Kyndryl Delivers Enterprise Intelligence at Speed Why the Grey Market Won’t Disappear in the Middle East and Africa: The Case of Notebooks Print, AI, and the expanded buying committee: highlights from IDC’s Print Executive Dinner in London AI in telecommunications: Why it is becoming an infrastructure priority Do AI Markets Face a Circular Financing Problem? Enterprise Applications Will Determine the Answer. From AI pilots to business value: what EMEA digital leaders are doing differently in 2026 Why India’s PC Market Surged 31.1% in Q1 2026 and What Comes Next PC Market Enters Volatile Territory as Memory Shortage Persists Through 2027 Agentic AI Ecosystems: Navigating the Megatrend That’s Reshaping Enterprise Technology Markets Leaning into disruption: How Perficient delivers real outcomes in an AI-first world Google’s Fitbit Air and Google Health: The Software Platform Play That Matters More Than the Hardware Why Fast and Trustworthy Aren’t Mutually Exclusive in AI Research The Middle East Conflict Just Rewrote the Rules of Business Continuity Ecosystem strategy in 2026: turning AI disruption into partner-led growth Worldwide Smartphone Market to Decline 13.9% in 2026 as Memory Crisis and US-Iran War Constrain Growth The AI Supercycle Has Started. Where Does Asia/Pacific Stand? Devices at Google I/O 2026: Android XR Glasses, Googlebooks, and Gemini Intelligence Why Research Alone Isn’t Enough: The Delivery Problem No One Is Talking About Digital Accessibility in the Workplace: From Compliance to Competitive Advantage When Pinocchio Became a Real Boy: Security Platforms Have Grown Up Plotting a Future-Proof Course: How The Resorts Companies Turned a Decade of IDC Partnership into a Competitive Edge European CISO priorities in 2026: AI agents, platformization, and sovereignty Why IDC Directions Is Coming to Hangzhou — and Why You Should Be There Telcos’ Next AI Revenue Play: Monetizing Orchestrated Digital Infrastructure The Workforce Skills Gap That AI Can’t Solve for Itself The Agent Takeover: What Happens When AI Becomes the Primary User of Enterprise Software The AI Answer Gap: Why Fast Answers and Defensible Ones Are No Longer the Same Thing The Market Every Western Executive Should Be Watching. IDC’s CEO Already Is. Ecosystem Strategy in 2026: Why AI Is Rewriting Partner-Led Growth Anthropic, SpaceXAI, and the New Compute Race in AI Navigating a Market Where the Wrong Bet Has Real Consequences Renuka Drummond Named Top 10 Corporate Counsel Worldwide by OnCon Icon Awards From Labor Arbitrage to Platform-Led Outcomes: How Agentic AI Is Rewriting the IT Services Playbook EMEA IT Market 2026 – Q2 Updates: 5 Key Takeaways on AI, IT Spending and Market Trends Japan’s AI Infrastructure Market Is Heading for ¥1 Trillion and Here Is What Comes Next Asia Pacific IT Spending Outlook 2026: How the Middle East War Is Reshaping IT Budgets From Digital Access to Accessibility with AI Enablement From Cost Optimization to Continuity: What IT Buyers Need Now and How Suppliers Must Respond AI as an Organizational Stress Test: What Will Break First in Your Operating Model? Japan’s ¥2.1 Trillion IT Modernization Wave: The Race Has Already Begun Semiconductor Market to Surge Past the Trillion-Dollar Threshold: AI Infrastructure Drives Market Growth Most AI Investments Don’t Deliver Value – Here’s What EMEA Leaders Are Missing Hannover Messe 2026: 7 Insights and 3 Pieces of Advice on Industrial AI, Manufacturing, and the Future of the Factory IDC Directions 2026: The AI Conversation Has Shifted. Here’s How to Catch Up. Coding by Prompt Is Coming to Your Business Units: What CIOs Should Do Next FutureScape 2026: Building Trust, Resilience, and Prosperity in the Agentic Future FutureScape 2026: Charting the Path to Enterprise-Wide Orchestration From Task Execution to Value Creation: What the 2026 Humanoid Robot Half Marathon Reveals About Industry Progress Europe’s AI Story Has a New Problem: It’s Actually Working AI Infrastructure Spending Caps Historic Year at ~$90 Billion in Q4 2025; 2029 Spending to Eclipse $1 Trillion Digital Sovereignty: Why “Sovereign” Is No Longer Enough FutureScape 2026: Navigating the Crosscurrents of Disruption Huawei and Apple Support China Smartphone Market Resilience as Shipments Decline 3.3% in Q1 2026 The Dirty Secret of AI in ITSM: Why Bad Data Wins Every Time Wholesale telecommunications: How platform models are reshaping the market Beyond LLMs: Why AI Strategy Now Requires Multi-Model, Multimodal, and Multi-Agent Architectures It’s a Data Thing: Retail and Restaurant AI Investments Will Miss the Mark if Not Led by Data Modernization Inference to Overtake Training by 2027 – Why Japanese First Movers Are Betting on Sovereign AI Infrastructure The productivity plateau: Why efficiency gains no longer differentiate Why I’m Excited about IDC Directions 2026 GTC 2026: Workstations enter the sidetop era Dispelling the myth of a silver bullet in sovereign AI MacBook Neo: Apple’s strategic play to disrupt the PC market AI sovereignty risk: A five-step agenda for CIOs Data pricing for AI is being negotiated without a stable model From cyber risk to business risk: How CISOs should engage the board in 2026
Smart Glasses Surge: The XR Market Is Rewriting Its Own Rules
Jitesh Ubrani · 2026-06-15 · via IDC

The extended reality (XR) market is not the same industry it was two years ago. What was once defined by bulky headsets and gaming-first use cases has transformed, rapidly and decisively, into a market shaped by smart glasses you’d actually want to wear to the grocery store.

IDC’s latest data from the Worldwide Quarterly Wearable Device Tracker and Worldwide Quarterly Augmented and Virtual Reality Headset Tracker confirms what many suspected: 2026 is the year smart glasses graduate from early adopter curiosity to a mainstream force.

A market on the move

Smart glasses without displays, surged 167% year-over-year in Q1 2026, reaching approximately 2.25 million units in a single quarter. To put that in perspective: the entire category shipped roughly the same number (2.7M) units in all of 2024 than it did in the first three months of this year. That is the kind of growth that reorganizes industries.

Meanwhile, eyewear with displays tracked under IDC’s ARVR segment, encompassing Augmented Reality, Extended Reality, Mixed Reality, and Virtual Reality, grew 86% year-over-year in Q1 2026.

The message is clear: eyewear-form-factor devices are no longer the niche. They are the market.

Meta continues to dominate with 69.2% market share in Q1 2026, a commanding lead built on the strength of its Ray-Ban partnership with EssilorLuxottica, the world’s largest eyewear maker, and a marketing machine that few hardware companies can replicate. The Ray-Ban Meta lineup has done something rare in consumer tech: it created a device people are genuinely unafraid to be seen wearing in public.

The rest of the competitive field remains fragmented. RayNeo captured 3.4% share thanks to its lower cost display glasses. Xiaomi held 3.1% share, fueled primarily by China shipments across its audio-first and camera-equipped models. Viture’s expansion into US retail and the launch of its Beast glasses helped the company rank fourth with 2.5% share while XREAL rounded out the top five with 2% as the company preps for its big push on the Android XR platform.

The Others category, comprising a long tail of Chinese and global brands, accounts for 19.8% collectively, a number that will only grow as more vendors enter.

CompanyQ1 2026 Market Share
Meta69.2%
RayNeo3.4%
Xiaomi3.1%
Viture2.5%
XREAL2.0%
Others19.8%

The competitive pressure building on Meta

Meta’s lead is real, but it is not impenetrable, and the challengers assembling against it are formidable.

Google enters the smart glasses race with an advantage no rival can manufacture overnight: an ecosystem already embedded in billions of lives. Gemini is already in people’s email, photos, search history, and calendars. When someone puts on a pair of Android XR glasses, the AI assistant doesn’t need an introduction. It already knows you. That depth of integration is structurally different from what Meta offers. Meta’s glasses are compelling, but they require a smartphone connection and depend heavily on Meta’s own social and advertising platform for discovery and relevance. Google, by contrast, is creating stickiness through the very services consumers already use daily.

Snap has spent a decade building something no hardware startup can buy overnight: a generation of users who think in visual, ephemeral, camera-first terms. Its Lens Studio ecosystem already has tens of thousands of developers who have spent years building AR experiences, meaning the content and creative layer for Specs arrives largely pre-built. Five generations of Spectacles hardware, sold initially at a loss and iterated quietly, gave Snap real-world learnings on optics, thermal management, and social comfort that simply cannot be shortcut. Unlike every other company entering this space, Snap has demonstrated that it can change how a generation communicates through software alone. That is a harder trick than shipping hardware, and Snap has already pulled it off once.

The Chinese vendor ecosystem, including Xiaomi, Huawei, Alibaba, and RayNeo among a growing cast of others, will apply sustained pressure on pricing and volume, particularly in Asia-Pacific markets. These vendors are not just competing on cost; they are iterating quickly, and several are developing AI capabilities in-house that could rival Western models within the forecast horizon.

What unites Google, Samsung, and Snap is a critical shared requirement: a smartphone. Meta’s Ray-Ban glasses also depend on a phone for full functionality, but Google and Samsung’s glasses will be deeply integrated with the Android XR ecosystem, leaning heavily into existing device relationships. The question is not whether you need a phone. It is whose phone, and what experience that phone unlocks.

That said, dethroning the giant that is Meta won’t come easy. Meta’s core advantage isn’t just market share; it’s distribution. The partnership with EssilorLuxottica gives Meta access to the largest eyewear retail network in the world, putting Ray-Ban Meta frames in optician shops alongside prescription lenses, not just in electronics stores. That kind of shelf presence is extraordinarily difficult to replicate. Layer on top of that a social graph of more than three billion people, an advertising business that funds aggressive hardware subsidies, and two-plus years of real-world usage data from millions of Ray-Ban Meta wearers, and Meta enters this next competitive cycle with structural advantages that go well beyond the device itself. The question is whether a head start in hardware translates into a platform moat, and that is precisely what Google, Snap, and others are betting it won’t.

The smart glasses race is no longer just about who ships the most units. It’s about who builds the most indispensable experience. Meta has the head start and the hardware momentum, but Google is entering with an AI assistant that already lives in your pocket, your photos, and your daily routine. New products from Google’s Android XR ecosystem, Snap, and a growing number of Chinese vendors will accelerate adoption by expanding smart glasses availability and familiarizing consumers with AI-first experiences, and that puts real pressure on Meta to evolve beyond hardware into a full platform play.

The road ahead: Forecast 2026–2030

The scale of what is coming is difficult to overstate.

Display-less Glasses: Volume soars, ASPs compress

IDC forecasts shipments for glasses without will reach approximately 13.6 million units in full-year 2026, growing to 27.3 million units by 2030, a compound annual growth rate (CAGR) of 18.9%. In revenue terms, the category is expected to reach $5.1 billion in 2026 and $6.4 billion in 2027, before moderating as pricing pressure intensifies.

This is where the ASP story becomes important. The average selling price (ASP) for smart glasses is approximately $376 in 2026, already reflecting the mid-market positioning of the Ray-Ban Meta and its emerging rivals. By 2030, ASPs are forecast to compress to approximately $229, a decline of nearly 40% over four years. This is not bad news; it is the hallmark of a maturing market. Falling ASPs mean more consumers can access the category, which in turn drives volume. But it also means vendors who compete purely on hardware will face margin pressure, and software, services, and AI differentiation will become the real moat.

Mixed reality: The platform bet paying off

Mixed reality, the category anchored by devices like Meta’s Quest series and ByteDance’s headsets, is forecast to grow from 3.2 million units in 2026 to 10.4 million by 2030, a CAGR of 34.4% in units and 31.6% in value. Revenue is expected to reach $7.1 billion by 2030, up from $2.4 billion in 2026. ASPs hold relatively steady, ranging from $742 in 2026 to $682 in 2030, reflecting the premium nature of these devices and the enterprise and prosumer audiences they serve.

Optical See Through (OST) glasses (augmented and extended reality): The display glasses inflection

The combined OST opportunity across augmented and extended reality represents the most dynamic segment of the XR forecast. Display glasses from companies like XREAL, Viture, and RayNeo are forecast to grow from 3 million units in 2026 to 12.2 million by 2030, a CAGR of 41.9% in units. ASPs are expected to hold in the $516 to $547 range, reflecting steady demand for quality display hardware without the extreme price compression seen in screenless smart glasses. However, the most sophisticated hardware will sell well above $1000 bringing with it the benefits of spatial computing such as 3D imagery and the ability to anchor visuals within the world.

This bifurcation of pricing is also expected to reflect real world demand as enterprise users will lean into the sophistication to offset other costs while increasing productivity. Meanwhile, consumers are likely to latch onto mid-priced products that offer simpler use cases.

What this means for the industry

The XR market is at a genuine inflection point. The technology has crossed the fashion threshold: people will wear these devices, and that changes everything. But the real competition ahead is not hardware. It is platform, ecosystem, and AI. Companies that can deliver seamless, always-on assistance through a pair of glasses that people actually want on their face will define this decade’s computing transition.

Jitesh Ubrani

Jitesh Ubrani - Research Manager, Worldwide Mobile Device Trackers

Jitesh is a Research Manager for the Worldwide Mobile Device Trackers, including Wearables, Augmented Reality (AR), Virtual Reality (VR), Tablets, and Phones. The team focuses on the market sizing, forecasting, and analyzing trends to provide insight into the competitive landscape…