In the first quarter of 2026, the worldwide Ethernet switch market reached $15.4 billion, growing 39.8% year over year, according to IDC’s Quarterly Ethernet Switch Tracker. The datacenter segment, which covers high-speed switching infrastructure inside hyperscale and enterprise data centers, surged 61.0% YoY to $10.0 billion, fueled by AI infrastructure investments for AI inferencing and training workloads at scale. In a landmark shift, NVIDIA became the #1 vendor by revenue in datacenter Ethernet switching for the first time. Campus and branch switching grew 12.3% YoY, supported by a hardware refresh cycle and rising component prices.

Ethernet switch market highlights

Datacenter segment

The datacenter portion of the Ethernet switch market grew 61.0% YoY in 1Q26 to reach $10.0 billion, according to IDC. This growth reflects the continued build-out of AI infrastructure by hyperscalers, cloud providers, and large enterprises. High-speed ports dominate spending: 800G switches accounted for 35.8% of datacenter segment revenues, while 200Gb/400Gb speeds represented 34.1% combined, together making up nearly 70% of datacenter Ethernet switch spending.

Campus/branch (non-datacenter) segment

Enterprise campus and branch Ethernet switch revenue grew 12.3% YoY in 1Q26 to $5.4 billion, per IDC. Two forces are at work: a broad hardware refresh cycle as organizations upgrade aging infrastructure to support newer Wi-Fi standards, AI-powered applications, and modern digital workloads; and average selling price increases driven by component shortages, particularly memory, which amplified revenue growth above underlying unit shipment trends.

Regional performance

Total Ethernet switch revenues grew across all regions in 1Q26, according to IDC. The Americas led with 49.7% YoY growth, reflecting strong hyperscaler and enterprise AI investment in North America. EMEA posted 32.2% growth, while Asia Pacific grew 25.9% YoY.

Router market highlights

The total router market reached $3.8 billion in 1Q26, growing 11.3% year over year, driven by continued investment in both service provider and enterprise network infrastructure, according to IDC’s Quarterly Router Tracker.

Service provider segment

The service provider segment, including communications service providers and cloud SPs, made up 77.2% of total router market revenues in 1Q26, reaching $2.9 billion with 12.9% YoY growth. Cloud and telecom infrastructure upgrades remain the primary driver.

Enterprise segment

The enterprise router market contributed $867 million, growing 6.1% YoY in 1Q26, reflecting ongoing investment in enterprise WAN connectivity and SD-WAN-enabled infrastructure modernization.

Regional performance

In 1Q26, the Americas router market rose 19.6% YoY, leading all regions. EMEA grew 9.8% YoY, while Asia Pacific posted 2.8% growth.

Vendor highlights

Cisco

$4.5B revenue, 29.3% market share, +24.0% YoY.  Cisco’s total Ethernet switch revenues increased 24.0% YoY in 1Q26, capturing 29.3% market share, per IDC. Non-datacenter revenues, representing 60.5% of Cisco’s total, grew 14.1% YoY, reflecting the campus refresh tailwind, while datacenter revenues rose 43.0% YoY on strong AI infrastructure demand. Cisco’s total router revenue grew 24.4% YoY, giving the company a 35.1% market share in 1Q26.

NVIDIA

$2.1B revenue, 21.5% datacenter segment share, +192.7% YoY.  NVIDIA’s Ethernet switch revenues, entirely from the datacenter segment, surged 192.7% YoY to $2.1 billion in 1Q26, giving it a 21.5% share of the datacenter segment, according to IDC. This result marks a significant milestone: NVIDIA is now the #1 vendor by revenue in datacenter Ethernet switching. NVIDIA’s Spectrum-X platform, an end-to-end AI networking solution that integrates Spectrum Ethernet switches with BlueField DPUs and NVIDIA LinkX cables, purpose-built for large-scale GPU clusters, has emerged as the preferred network interconnect for large-scale AI training, winning significant traction with hyperscalers and AI-native cloud providers building AI factories.

Arista Networks

$2.2B revenue, 14.6% market share, +37.3% YoY.  With 92% of its Ethernet switch revenues in the datacenter segment, Arista’s revenues grew 37.3% YoY in 1Q26 to $2.2 billion, per IDC. Arista holds a 14.6% share of the total Ethernet switch market and 20.7% in the datacenter segment, maintaining strong positioning in 400G and 800G deployments with hyperscale customers.

Huawei

$895M revenue, 5.8% market share, +27.2% YoY.  Huawei’s total Ethernet switch revenue increased 27.2% YoY in 1Q26 to $895 million, giving the company a 5.8% market share, per IDC. Huawei’s router revenue grew 0.8% YoY in 1Q26, with a 25.4% market share, underscoring continued strength in the service provider networking segment, particularly in China and select emerging markets.

HPE

$985M revenue, 6.4% market share, +15.4% YoY.  HPE’s total Ethernet switch revenue (70.5% from the non-datacenter segment) grew 15.4% YoY in 1Q26, reaching a 6.4% market share, per IDC. HPE revenues now include Juniper Networks, following the July 2025 acquisition. The company’s deepened campus and branch portfolio is converting the current refresh wave into revenue.

Market dynamics

NVIDIA becomes #1 in datacenter Ethernet switching

The main takeaway for 1Q26 is NVIDIA’s position at the top of the datacenter Ethernet switch market. IDC data shows that with 192.7% YoY growth and $2.1 billion in quarterly revenue, NVIDIA’s Spectrum-X platform has captured hyperscaler and enterprise demand for AI factory network infrastructure through integrated co-design across GPUs and networking. This structural shift is redrawing vendor standing across the datacenter networking industry.

AI as the primary demand driver

AI deployments are accelerating across both hyperscalers and large organizations, applied to enhance customer experience, reduce operational risk, and empower key business areas, including IT infrastructure and operations, software development, and sales. According to IDC, this broad adoption of AI workloads, from large-scale training clusters to inferencing at the enterprise edge, is driving sustained demand for high-speed, low-latency datacenter networking.

Campus refresh cycle and component-price inflation

Non-datacenter switching is benefiting from a convergence of a broad enterprise hardware refresh cycle and rising average selling prices driven by memory component shortages, according to IDC. Organizations are replacing switching infrastructure to support modern wireless standards and digital workloads, while supply constraints are inflating revenue growth above underlying unit volumes, a dynamic IDC expects to persist in the near term.

“NVIDIA’s rise to #1 in datacenter Ethernet switching in a single year is one of the most significant vendor landscape shifts IDC has tracked in enterprise networking. Spectrum-X’s integrated GPU-plus-networking design is winning AI factory deals that incumbent networking vendors cannot match with standalone hardware alone. The campus side tells a different but equally important story: the refresh wave is real, but IT teams should plan for ASP normalization once memory supply constraints ease. Budget for the transition now, not after prices move.” — Paul Nicholson, Research Vice President, Cloud and Datacenter Networks, IDC

“Enterprise campus and branch ethernet switching growth is driven by a variety of factors: First, organizations are upgrading both their wired and wireless networks as part of a multi-year refresh cycle to support Wi-Fi 7, and enhanced speeds across the access, distribution, and core layers of the network. AI, security and IoT are other key drivers. Meanwhile, memory-driven supply chain concerns are a headwind worth watching in the coming quarters.” — Brandon Butler, Senior Research Manager, Network Infrastructure and Services, IDC

Why it matters

Who should care?

CIOs, network architects, IT procurement teams, and technology vendors should pay close attention. According to IDC, NVIDIA’s position as the #1 datacenter Ethernet switching vendor in 1Q26 signals a shift in datacenter networking, reflecting the growing influence of AI infrastructure on purchasing decisions. Campus-focused buyers should factor in the impact of sustained ASP increases when planning budget refreshes.

Business impact

Organizations building AI infrastructure now face a more complex vendor landscape for datacenter networking, with compute and network decisions increasingly intertwined. On the campus side, the convergence of a refresh wave and price inflation is creating both urgency and budget pressure for IT teams.

Ecosystem signal

The composition of the datacenter Ethernet switching market is being redrawn. Vendors that meet AI factory requirements with highly integrated functionality, including high-bandwidth, low-latency, lossless fabrics, are gaining share at scale. This is reshaping the competitive outlook for all incumbent networking vendors.

What’s next for the Ethernet switch and router market

IDC expects the Ethernet switch market to sustain strong momentum through 2026, underpinned by continued AI infrastructure investment from hyperscalers and enterprises. As inferencing deployments scale alongside training workloads, demand for high-speed datacenter switching, particularly at 800G and beyond, should remain robust. NVIDIA’s position will face increasing competitive responses from Cisco, Arista, and Broadcom ecosystem vendors, making the datacenter segment one of the most actively contested in networking.

In campus and branch, the refresh cycle is expected to continue, though revenue growth could moderate if memory supply constraints ease and reduce the ASP tailwind. Macro uncertainty, including tariff risks and regional economic volatility, remains a watch item that could temper investment decisions in some geographies.

Learn more

For deeper analysis and IDC research on enterprise network infrastructure trends, visit the IDC Quarterly Ethernet Switch Tracker and IDC Quarterly Router Tracker at idc.com, or contact IDC for the latest market insights and custom research.

Paul Nicholson

Paul Nicholson - Research Vice President, Networking and Infrastructure Services, Enterprise Infrastructure

Paul Nicholson is Research Vice President within IDC’s enterprise infrastructure global research domain and part of the networking infrastructure and services subdomain. He focuses on AI, cloud, and datacenter network infrastructure. His research spans Ethernet and InfiniBand switching, application delivery…
Brandon Butler

Brandon Butler - Senior Research Manager, Networking and Infrastructure Services, Enterprise Infrastructure

Brandon Butler is a Senior Research Manager within IDC’s enterprise infrastructure global research domain and part of the networking infrastructure and services subdomain. His research covers market and technology trends, forecasts, and competitive analysis in enterprise campus, branch, and edge…
Petr Jirovsky

Petr Jirovsky - Senior Research Director, Networking and Infrastructure Services, Enterprise Infrastructure

Petr Jirovsky is a Senior Research Director within IDC’s enterprise infrastructure global research domain and part of the Networking and Infrastructure Services subdomain. He provides quantitative insights on network infrastructure for the datacenter, cloud, and campus/branch environments. He serves as…
Diego Anesini

Diego Anesini - VP Data and Analytics, Networking

Diego Anesini serves as Vice-President, Data & Analytics, Networking. Prior to this position, Diego held various roles in the company. The most recent was VP, Data & Analytics for Latin America. He has extensive experience in the Networking, Telecom and…

AIエージェントの台頭を背景に、ソフトウェア市場では「SaaS is Dead?」をはじめとするアプリケーション市場の終焉論が各所で語られるようになっています。しかし、日本のソフトウェア市場は今、一世代に一度の成長サイクルへと踏み出そうとしています。

IDCの最新調査「Worldwide Semiannual Software Tracker, 2025H2(2026年5月発行)」は、2030年までに国内ソフトウェア市場が20兆円規模に達すると示しています。この成長は漸進的な量的拡大ではなく、あらゆるソフトウェアセグメントにわたるAIネイティブソフトウェアへの構造的転換が原動力です。

「市場は縮小しない、変革する—そして変革こそが成長の源泉となる」

数年おきに、特定のソフトウェアカテゴリが終焉を迎えるという言説が繰り返されてきました。かつてはオンプレミス、次いで企業向けIT、そして今やSaaSが「時代遅れ」の槍玉に挙がっています。その根拠は単純です——AIエージェントがあらゆる業務を自動化できるなら、多層的なアプリケーションにコストをかけ続ける意義はどこにあるのか、というものです。

IDCの最新データは、この問いに明確な答えを示しています。ソフトウェアはAIによって陳腐化するのではなく、AIによって根本から作り直されているのです。そしてこの転換は、多くの関係者が想定していたよりもはるかに速いペースで進行しています。

実際、2025年末時点で日本企業の50%以上がすでに生成AIを本格導入しており、PoC段階を含めると90%以上が何らかの形で活用しています。AIエージェントについても、40%超の企業でパイロットまたは本番環境での運用が始まっています。IDCはこの現状こそが、今後5年間の成長を測る出発点になると見ています。

「3つのセグメント、1つの共通エンジン」

IDCは国内ソフトウェア市場を3つの主要セグメントに分類して予測しています。いずれのセグメントでもAIによる再編が進行中ですが、成長の速度や性質にはセグメントごとに明確な差異が見られます。

出典:Worldwide Semiannual Software Tracker 2025H2, IDC Japan, June 2026

「際立つ存在:AIコアソフトウェア市場」

アプリケーション開発/デプロイメント市場の中に、特筆すべき市場があります。生成AIファウンデーションモデルやAIエージェントを含む「AIコアソフトウェア市場」は、予測型AI、生成AI、エージェンティックAIの導入進行によって大きく成長すると予測しています。

これが、アプリケーション開発/デプロイメント市場全体のCAGRを51.7%へと押し上げている主要因です。AIは既存のソフトウェアカテゴリを単に強化しているのではなく、5年前には存在しなかったまったく新たなカテゴリそのものを創出しています。

「着実な拡大:アプリケーション市場とシステムインフラストラクチャ市場」

アプリケーション市場はCAGR 9.2%という堅実なペースで成長を続け、2030年までに4兆2,223億円に達すると予測されています。これは成長の鈍化ではなく、既存レイヤーが「置き換え」ではなく「AIへのアップグレード」として進化していることを示しています。アプリケーションベンダー各社はAI/エージェント機能を製品に組み込み差別化を図っていますが、ソフトウェアをゼロから再構築しているわけではありません。

システムインフラストラクチャソフトウェア市場も同様の傾向を示しています。CAGR 9.5%での拡大は、切実なオペレーション上の課題が牽引しています。セキュリティ領域でのAI活用、AIOps、そして自律型エージェントによるITシステム管理は、セキュリティ、ITオペレーション分野での人材不足が深刻化する中、もはや選択肢ではなく必要不可欠な手段となりつつあります。

「IDC最新データが示す示唆」

ベンダーにとって、問いの中心はすでに「AIを取り入れるべきか」から「どこまで深く組み込むか」へと移っています。表層的なAI統合はすでに標準化されつつあり、先行するプレイヤーはAIを段階的な機能追加としてではなく、製品そのものの抜本的な再設計として捉えています。

ITバイヤーにとっては、明確な近道を示しています。AI対応アプリケーションの採用は、カスタムビルドソフトウェアの完成を待つよりもはるかに早く価値創出を実現します。すでにAIを本番環境で稼働させている企業と、まだ計画段階にとどまる企業との差は、着実に開き続けています。

「SaaSは終わった」という言説は、現実を見誤っています。終焉の圧力にさらされているのは、静的でAIへの対応を怠ったソフトウェアです。一方、AIネイティブソフトウェアは成長を続けており、エージェント中心の世界に向けて設計され、前世代のツールには不可能だった形で市場を切り拓いています。日本のソフトウェア市場が2030年に20兆円規模に達するという予測は、過去の成長サイクルの単純な繰り返しではありません。IDCはこれを、業界そのものが根底から姿を変えていることを告げる構造的なシグナルと捉えています。

出典:IDC Japan、Worldwide Semiannual Software Tracker 2025H2、2026年5月発行

関連する調査やご相談について

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Takashi Manabe - Senior Research Director, AI and Automation, IDC Japan - IDC Japan

Takashi Manabe is the Senior Research Director of AI and Automation groups in IDC Japan. Mr. Manabe's primary responsibility includes the analysis of the dynamics and trends, vendor strategies, and market sizing/modeling of Japan’s enterprise AI related market including Software, Services and Infrastructure. He also covers Security, Data Management/ Bigdata Analytics, Customer Experience and Digital Transformation market related to AI. Before joining IDC, Mr. Manabe worked at Toshiba Corporation, Toshiba America Information Systems, Inc., and Toshiba TEC Corporation. 20 over years his experience in the communications and software market, Mr. Manabe started his business as a system engineer for PBX/enterprise data communications equipment in Toshiba Corporation. He was also act as product planning and marketing manager for communication equipment/ software. He also acted as business planning, business management in Toshiba America's age for cable TV Internet business in the enterprise, security software and consumer communication market. Just prior to join IDC, Mr. Manabe worked at Toshiba TEC Corporation, for document solution such like MFP remote management system, scan OCR solution as product planning manager. Mr. Manabe graduate of Muroran Institute of Technology, Japan, holds a Master Degree of Computer Science and Engineering. He also holds a Bachelor degree in Computer Managed Machinery Systems from Muroran Institute of Technology.

国际数据公司(IDC)最新发布的2026年第一季度全球耳戴市场数据显示,开放式耳机出货量同比增长39.9%,在整体耳戴市场仅增长3.9%的背景下表现突出。但IDC认为,比增速更值得关注的是品类结构,竞争格局与市场需求的多重转变。品类结构上,耳夹式占比首次过半,稳固其主流产品形态的地位。当前全球开放式耳机市场由中国厂商主导,海外品牌加速入局,行业竞争持续升温。与此同时,AI技术为市场注入全新动能,智能化将成为下一阶段竞争核心。

根据IDC最新发布的《全球可穿戴设备市场季度跟踪报告,2026年第一季度》显示,2026年一季度全球耳戴市场出货9,520万台,其中开放式出货1,067万台,同比增长39.9%,占比达到11.2%。凭借差异化的佩戴体验,开放式耳机在蓝牙耳机品类中的出货占比正持续攀升。

IDC三大核心洞察

结合开放式整体市场走势与市场竞争态势,2026年一季度全球开放式市场耳机三大核心洞察如下:

洞察一:细分品类格局重塑,耳夹式领跑市场增长

开放式耳机细分形态迎来明显更迭,品类内部竞争格局持续重构。2026年一季度,耳夹式在开放式产品中占比54.3%,同比份额增幅超10个百分点,已成为全球开放式耳机的主流形态。该品类凭借精巧的外观与多场景适配的能力受到市场认可,叠加时尚属性带来的溢价能力,部分采取机海战术的厂商逐步调整布局重心,从耳挂式赛道转向加码耳夹式产品。耳挂式同比增长11.8%,市场份额有所回落,凭借佩戴稳定性,现阶段头部品牌主要聚焦于运动细分场景。作为开放式领域成熟度最高的品类,颈挂式产品凭借骨传导技术深耕运动赛道,并依托游泳等专属场景稳固市场定位,同比增长11.9%,增速保持稳健。

洞察二:中国厂商主导市场,差异化竞争格局深化

中国是开放式耳机起步最早,规模最大的核心市场,2026年一季度中国市场出货量占比超过六成。美国,亚太(不含中国和日本)及西欧市场紧随其后,增长态势亮眼。中国厂商利用先发优势全球布局,凭借完善的供应链与多元化产品矩阵持续抢占全球市场份额。市场主流集中在50美元以下及100美元以上两大价格区间,分层竞争特征显著。100美元以上高端市场中,核心技术,音质表现,品牌力与智能化成为竞争关键。韶音,华为凭借综合实力稳居领先位置。Bose,JBL等海外传统音频厂商也加码布局,依靠声学技术优势夯实产品实力,丰富自身产品线。50美元以下入门市场主打性价比,厂商凭借多样外观,新颖形态及丰富机型吸引消费者,中国与印度厂商为该市场主力。

洞察三:AI赋能硬件升级,智能化渗透空间广阔

随着蓝牙耳机硬件日趋同质化,AI技术已成为行业破局的重要方向。智能服务的迭代优化,离不开长期佩戴所沉淀的用户数据,而开放式耳机适配长时间佩戴的特性,为AI功能落地提供了天然优势。部分中国厂商已将产品搭载AI功能作为营销亮点,入门级产品主要对接第三方云端大模型,落地场景以实时翻译,会议纪要等办公需求为主,相关功能主要依托手机APP运行,并不具备端侧实时运算能力。优质的智能化体验目前仍集中于中高端产品线。定位商务场景的厂商,搭配自研大模型与端侧处理芯片,将AI打造为核心竞争壁垒,而非常规附加功能。手机品牌则凭借自有操作系统优势,整合自研大模型与终端硬件,构建“系统+模型+硬件”一体化生态闭环。该模式深度绑定用户使用习惯,有效强化用户粘性与品牌忠诚度。目前全球市场中的AI功能整体渗透率有待提升,品类智能化升级仍拥有广阔发展空间。

IDC建议

面对开放式耳机品类格局重构,中国厂商领跑全球,AI技术驱动产品升级的行业新态势,IDC为行业参与者提出以下三点切实可行的战略建议:

建议一:找准市场定位,优化产品结构与资源布局

开放式耳机品类加速分化,市场格局不断演变。厂商需明确自身赛道定位,避免盲目跟风内卷。耳夹式增长势头强劲,而耳挂式凭借更大的机身空间,更利于搭载元器件,落地 AI相关功能。厂商需结合自身核心优势搭建产品矩阵,平衡流量型与技术型产品布局,合理分配研发与产能资源,打造符合行业长期发展趋势的产品体系。

建议二:依托产业优势,深耕差异化竞争与品牌力建设

依托成熟的供应链与规模化制造能力,中国厂商可充分发挥产业优势。作为市场的先发参与者,应把握发展窗口期,聚焦品牌建设,规避同质化低价竞争。同步推进本土化运营,结合各地消费特征,文化偏好制定市场策略,以差异化产品与本地化服务提升用户认同,持续夯实全球品牌价值与综合竞争力。

建议三:着眼长远发展,强化AI核心能力建设

随着蓝牙耳机产品同质化问题日益凸显,厂商应将AI智能化升级确立为长期核心战略。依托开放式耳机可长时间佩戴、持续沉淀用户数据的特性,在现有的语音助手,AI降噪等应用基础上,拓展个性化服务,智能自适应调节等高阶体验。推动AI从单纯的营销亮点转变为核心产品实力,把握行业智能化转型机遇,充分释放市场增长潜力。

IDC中国研究经理戴翘楚认为,当前全球开放式耳机品类结构加速调整,中国厂商依托产业积淀与先发优势领跑市场,AI智能化则将成为行业下一阶段竞争焦点。厂商需明确发展方向,打造差异化产品,推进全球化布局,同时坚持长期投入,深耕AI核心技术,夯实可持续发展根基。

综合来看,IDC认为2026年第一季度全球开放式耳机市场的核心变化在于:耳夹式正在重塑品类格局,中国厂商持续主导全球市场,而AI技术的实际落地仍处于早期阶段。对于行业参与者而言,单纯依靠形态创新或价格策略的增长空间正在收窄,下一阶段的竞争将更多取决于厂商在技术深耕和智能化能力上的长期投入。市场仍在高速增长,但赛道逻辑正在变化,唯有做出清晰战略选择的厂商才能在竞争中占据主动。

如对本次报告内容感兴趣,或咨询其他相关内容,欢迎与IDC联系,以获取更多信息或探讨合作机会。

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腕戴设备市场正在发生静默而深刻的结构性转折。智能手表与手环的走势分化、各价位段需求的冷热不均、区域市场之间的增长落差——这些表象背后,同一个问题是所有参与者必须回答的:当普及红利消退,增量从何而来?本文基于IDC最新发布的《全球可穿戴设备市场季度跟踪报告》,梳理2026年第一季度全球腕戴市场的三大结构性特征、头部厂商的应对策略,以及中国市场的独特发展路径。


根据国际数据公司(IDC)最新发布的《全球可穿戴设备市场季度跟踪报告》,2026年第一季度全球腕戴设备市场出货量为4,705万台,同比增长2.2%。腕戴设备市场包含智能手表和手环产品。其中,全球智能手表市场出货量3,703万台,同比增长4.8%。手环市场出货量1,002万台,同比下滑6.1%。腕戴产品发展背后,全球市场呈现出哪些特点?头部厂商表现如何?中国市场又将呈现哪些异同?本文将为您一一解读。

2026一季度全球腕戴市场发展的三大特点

根据IDC跟踪报告,2026年一季度全球腕戴市场发展呈现以下三个显著特点:

特点一:手表走强,手环疲软

智能手表凭借功能升级稳步增长,部分分流手环用户。手环受去年需求提前透支、存储成本抬升影响,再加入门手表价格下探抢占市场,需求持续承压,整体走势偏弱。

特点二:价位结构升级,入门稳、高端旺

大环境承压下,百元美金以内入门产品依靠刚需稳住出货量;300 美元以上高端机型依托软硬件迭代、健康医疗及AI功能升级,消费升级需求逐渐释放,高端价位段增速突出。

特点三:区域发展分化

中国凭借新品发布与电商促销,成为全球增长主力;美国、拉美受益换新与渗透率提升小幅增长,其他地区受经济影响需求表现平淡。

2026一季度全球腕戴市场Top 5厂商表现

华为

2026 年一季度华为腕戴产品全球出货量登顶。华为时隔5年推出 WATCH GT Runner 2,深耕专业跑步赛道;Ultimate 2 高尔夫版满足进阶人群的专业需求;手环 11 系列补齐入门价位空档。全品类阶梯矩阵落地,完善价格与功能布局,稳固华为穿戴出货领先优势。

Apple

2026年一季度中国市场成为苹果智能手表全球增长核心驱动力。品牌提前落地多轮促销活动有效拉动终端销量;产品高端定价优势明显,可更大程度消化上游元器件涨价带来的成本压力,对冲供应链紧缺负面影响,支撑中国市场业绩稳步上行。

小米

2026年一季度小米智能手表表现优于手环品类。品牌落地 S5 系列新品,持续加大中高端 Watch 5 铺货力度,稳步向上优化产品结构。中高端机型逐渐放量,小米加速优化产品结构,逐步向中高端市场纵深布局。

三星

三星全球主推 Galaxy Watch8 及 8 Classic,但整体出货受内部战略调整小幅收缩。欧美成熟市场需求承压,中东、非洲等新兴市场依托品牌口碑与渗透率提升实现小幅增长,成为品牌现阶段为数不多的增量市场。

佳明

佳明坚守专业户外、运动细分赛道,深耕垂直用户巩固专业产品壁垒;同时加速产品迭代、拓宽大众消费产品线。配合各地阶段性营销与促销落地,品牌兼顾专业与大众市场,在多个区域实现出货同比增长。

2026一季度中国市场发展的三大特点

IDC报告指出,2026年第一季度中国腕戴市场出货量1814万台,同比增长3.5%;其中成人智能手表出货量888万台,同比增长15.3%,儿童手表出货量442万台,同比增长22.4%,手环市场出货量483万台,同比下滑22.2%。

特点一:入门价位补位扩容,五百元档市场回暖

500 元以下成人智能手表一季度出货量回暖。头部品牌产品迭代逐步撤出该价格带,中小品牌顺势优化产品配置填补空白。上游存储成本抬升环境下,该档位机型性价比凸显,精准承接入门刚需,拉动该价位稳步回暖。

特点二:渠道分化凸显,线上增速领跑线下

产品成熟带动消费者选购趋于理性,用户习惯线上比价筛选机型。叠加直播、多平台大促等多元电商业态持续扩容,线上渠道出货增速显著跑赢线下。线下侧重体验成交,增长相对稳健,线上已成为拉动大盘增量的核心载体。

特点三:产品精细化发展,功能人群多元细分

市场开始逐渐尝试跳出同质化堆砌,逐步走向场景与用户分层。更具有针对性的女性向和青少年设计的产品更多出现,在全智能、专业健康、专业运动、日常健康和轻运动等维度打造差异化卖点,围绕细分需求定制产品,精细化细分成为行业明确发展趋势。

针对技术供应商和采购方的建议

建议一:产品分层精细化布局,打造差异化竞争壁垒

厂商应搭建阶梯化、差异化产品矩阵,规避同质化与低价内卷。面对存储成本上涨压力,各价位段需优化配置与定价策略。中小厂商依托优质体验稳固入门市场,头部品牌深耕高端健康、AI、运动功能迭代。通过场景、功能、外观多元差异化设计,覆盖多人群需求,筑牢产品竞争壁垒。

建议二:双线渠道协同布局,高效盘活存量增量市场

厂商需优化线上线下双线渠道协同布局,加大电商、直播等线上资源投入,依托平台优势快速走量、盘活存量。线下门店重点聚焦高端机型体验、售后服务与高价值用户转化,打造线上引流、线下提质增收的良性渠道体系。

建议三:区域市场差异化深耕,分散经营风险挖掘增量

厂商应实施差异化区域运营策略,平衡市场规模与盈利水平。欧美成熟市场避开低价内卷,深耕专业运动、健康垂直圈层守住利润;积极开拓拉美、中东非等新兴市场,凭借性价比快速提升渗透率。同时深耕中国本土市场,依托新品迭代与电商促销持续激活换新增量。

分析师观点与行业建议

IDC认为,全球腕戴行业已告别普及放量期,正式迈入存量精细化竞争阶段。增量不再依靠全民新机普及,转而由产品升级、细分人群、区域下沉三大逻辑驱动。成本波动加速行业洗牌,倒逼品牌放弃低价同质化内卷,依托价位分层与场景细分挖掘新增量,未来品牌综合产品架构、渠道与区域布局的能力将成为拉开份额差距的关键。

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Sophie Pan

Sophie Pan - Research Director, Client System Research

Sophie Pan is a research director for the Client Systems Research team at IDC China. She is responsible for emerging technology device research, including wearable devices and smart home devices. Sophie has a deep understanding of the landscape and ecosystem…

2026年第一季度,全球智能眼镜市场以130.1%的同比增速交出亮眼答卷,中国市场以23.5%的增长位列全球第三。然而,增速背后的结构性剧变更值得关注。国际数据公司(IDC)最新数据显示,中国音频和音频拍摄眼镜市场整体出货量同比下滑0.1%,其中不具备拍摄功能的纯音频眼镜产品需求开始疲软;,而轻量级显示眼镜逐步进入消费视野,带动AR&ER市场同比增长168.6%,成为一季度市场结构变化的重要变量。与此同时,国家补贴首次纳入智能眼镜,叠加AI大模型落地和密集新品发布,正在加速行业从“功能叠加”向“场景增值”演进。

全球市场

IDC最新数据显示,2026年第一季度全球智能眼镜(Smart Eyewear)市场出货量356.6万台,同比增长130.1%。其中全球音频和音频拍摄眼镜市场出货量224.8万台,同比增长167.4%;AR/VR市场出货131.8万台,同比增长85.9%。

全球市场产品动态

1. 国际巨头动向持续定义赛道方向

巨头在智能眼镜领域的布局预期持续发酵,赛道本身的战略价值已获得产业链和资本端的双重验证。

苹果:智能眼镜项目或于2026–2027年进入量产窗口。首代可能采用无屏轻量化设计,分阶段落地规划可为供应链预留爬坡周期,同时通过持续释放预期信号占据市场声量,为后续产品迭代积累用户认知基础。苹果的入局会倒逼供应链成熟、拉升用户认知,但也会在高端市场形成新的竞争压力。

谷歌:谷歌以Android XR平台授权加合作方硬件为主,与XREAL合作的Project Aura、与三星及Gentle Monster等联合开发的音频及显示眼镜均为确认项目。平台方身份规避了自有硬件的库存与品控风险,同时为国产硬件出海提供适配入口。

2. 跨界新玩家入局拓宽行业边界

非传统XR厂商的进入,说明智能眼镜的竞争已从专业赛道扩展至更广泛的消费电子领域。不同背景厂商带来的差异化场景定义有助于激活多元用户群体。

科大讯飞:语音技术切入办公场景,避开定位和手机生态的正面竞争。以垂直场景建立差异化认知,为中小厂商提供单点突破路径参考,其场景深度与商业闭环的验证值得期待。

极米:将自身技术优势进行迁移,探索新形态,品牌认知为产品溢价提供支撑,也为行业注入创新变量,将拓展智能眼镜在影音娱乐场景的价值边界。

3. AI厂商加速布局,推动竞争逻辑升级

未来的竞争将更多依赖软件生态和用户数据积累,而非单纯的产品迭代速度。对行业而言,头部AI厂商的介入将提升终端用户的认知水位,加速市场教育进程。

阿里:千问眼镜上市后份额提升迅速,核心在于打通了千问大模型与电商、支付生态,将硬件作为生态入口。有屏S1与无屏G1双线并行,覆盖不同用户需求,生态闭环的完整性是其区别于竞品的核心优势。

字节:字节产品发布时间尚未明确,但其在内容生态和算法推荐上的积累,使其具备从内容分发端切入市场的潜力。有望激活更多年轻用户群体,为市场带来新的增长变量。

中国市场:

2026年一季度中国智能眼镜市场在全球市场中份额排名第三,一季度出货量61万台,同比增长23.5%。本季度,智能眼镜首次被纳入国家补贴目录,带动渠道备货和终端需求释放,成为市场增量的核心动力。拍摄眼镜、具备AI大模型的眼镜、显示眼镜等细分品类均实现三位数同比增长,行业竞争加速分化,创新节奏明显加快。主流产品在轻量化、AI能力和佩戴体验等方面持续优化,叠加新品密集发布和渠道深度拓展。

中国细分市场概况及市场格局

音频和音频拍摄眼镜市场

2026年一季度,中国音频和音频拍摄眼镜市场结构出现明显升级,总出货量35.8万台,同比下滑0.1%,但其中音频拍摄眼镜占比达到43.4%,同比增长513.1%。

支持AI大模型语音助手的新品上市节奏加快,推动产品创新活跃。市场份额进一步向具备差异化功能和创新能力的品牌集中,TOP5品牌合计市场份额超过50%。小米、阿里、华为、雷鸟等头部厂商持续储备新品,带动行业竞争格局加速分化。从应用角度来看,厂商需要在高频场景中验证产品能否真正降低用户操作成本,这将直接影响用户留存和品牌口碑。

AR/VR市场

2026年一季度,中国AR/VR市场出货量25.2万台,同比增长86.2%。

AR&ER品类保持高速增长,季度市场份额已超过90%,同比增长168.6%。从市场表现来看,显示型眼镜新品的关注度相对高于音频眼镜,尽管轻量级显示眼镜的价格普遍集中在2000-3500元区间,仍处于较高水平,但其核心优势在于用户价值感知的提升。音频眼镜的功能与手机高度重叠,用户较难形成刚性使用习惯,而显示型眼镜能够覆盖手机难以触达的应用场景,带来更直观的体验,因此用户的尝鲜意愿和溢价接受度更高。从产品结构来看,轻量级显示眼镜已成为用户入门显示类产品的首选,为后续向更高端产品的转化奠定基础。

VR&MR市场一季度出货量同比下滑58.8%。整体表现依然低迷,缺乏新的增长动力。苹果Vision Pro M5版本虽然在产品层面有所更新,但产品定价仍处高位,内容生态和佩戴舒适度尚未达到用户预期,导致市场热度与实际转化之间存在明显落差。此外,VR&MR市场企业级采购有一定机会,但体量有限,尚不足以对冲消费端的疲软表现。

未来展望与新机会

IDC中国市场分析师叶青清认为,当前智能眼镜产品普遍面临的问题在于,虽然用户愿意为新鲜感买单,但不会为体验短板持续付费,若无法在体验上形成持续价值,用户留存就会成为瓶颈。因此厂商在产品定义和资源投入上需要做出更务实和偏向性的取舍。

在此基础上,未来还有以下几个方向值得追踪:

第一,新型方案已开始受到行业关注。独立通信、固态电池、体征监测集成等方向已经处于技术验证或小规模试产阶段,为产品定义和场景创新提供了新的可能性,值得持续跟踪。但现阶段真正影响用户留存的仍是连接稳定性、佩戴舒适度等基础体验,厂商在跟进新技术的同时,需要优先把现有成熟方案做到位。

第二,外观设计正成为用户决策的关键变量。轻量化已从加分项变为必选项,时尚性和个性化设计将在下半年成为头部厂商建立品牌辨识度的重要手段。在技术参数趋同的背景下,佩戴体验直接影响购买转化和日常使用频率,设计的差异化正在从产品层面升级为品牌资产。

第三,国内隐私安全标准正在加速落地。随着可穿戴设备采集敏感数据的场景增多,国内相关标准化工作已在推进。厂商需将隐私保护前置到概念设计阶段,合规能力将加速行业洗牌,提前建立技术储备和认证体系的厂商,有望在下一阶段竞争中占据主动。

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The worldwide WLAN market reached $2.7 billion in 1Q26, growing 15.9% year over year. Wi-Fi 7 (802.11be) now accounts for 44.5% of enterprise dependent access point revenues (up from 11.8% in 1Q25). Within four quarters, Wi-Fi 7 went from a nascent segment to the dominant enterprise Wi-Fi generation being deployed globally. The shift is driven by enterprise demand for higher throughput, lower latency, and Multi-Link Operation (MLO) capabilities, all essential for AI-powered applications, high-density wireless environments, and modern IoT-intensive workloads. Source: IDC Quarterly Wireless LAN Tracker, 1Q26.

WLAN market highlights

Total market

The worldwide WLAN market grew 15.9% year over year in 1Q26, reaching $2.7 billion. The dependent AP segment (the majority of the market) grew 18.5% YoY to $2.1 billion, outpacing overall market growth. According to IDC’s Quarterly Wireless LAN Tracker, this reflects sustained corporate investment in wireless infrastructure modernization.

Wi-Fi 7 inflection

Wi-Fi 7 dependent AP revenues reached $958.4 million in 1Q26, representing 44.5% of dependent AP revenues and growing 348% year over year from $214.1 million in 1Q25. IDC’s tracker shows the pace of adoption has been rapid: from under 1% of enterprise revenues in 1Q24 to nearly half the market by 1Q26.

Wi-Fi 6/6E migration

As Wi-Fi 7 accelerates, earlier-generation standards are declining in share. Wi-Fi 6 (802.11ax) accounted for 34.8% of enterprise dependent AP revenues in 1Q26 (down from 54.4% a year ago), while Wi-Fi 6E held 20.0%. Both are now primarily driven by refresh, mid-market, and value-based deployments rather than strategic enterprise wireless initiatives.

Regional performance

The Americas led WLAN growth in 1Q26 at 17.0% YoY, reaching $1.29 billion and accounting for 48.5% of total revenues. EMEA grew 15.7% YoY to $799.7 million; APJ expanded 13.7% YoY to $565.5 million.

Vendor highlights

Cisco

$1.0B revenue, 38.9% market share, +14.1% YoY.  Cisco remains the market share leader, supported by strong enterprise demand for its Wi-Fi 7 portfolio and continued momentum in large-scale campus and branch deployments.

HPE

$527.9M revenue, 19.9% market share, +8.9% YoY.  The combined HPE Networking business (comprising HPE Aruba Networking and HPE Juniper Networking) brings complementary strengths to enterprise WLAN, spanning cloud-managed deployments to AI-powered operations.

Ubiquiti

$345.1M revenue, 13.0% market share, +29.1% YoY.  The strongest revenue growth among the top five vendors. Ubiquiti’s platform continues to gain traction with mid-market enterprises and managed service providers attracted by competitive pricing, rapid Wi-Fi 7 product refresh, and cloud-based management.

Huawei

$158.5M revenue, 6.0% market share, +27.7% YoY.  Growth is driven primarily by Wi-Fi 7 campus solutions and an integrated campus-LAN portfolio, mainly in markets outside the USA, Canada, and Western Europe.

Vistance Networks

$91.6M revenue, 3.5% market share, +12.9% YoY.  Formerly CommScope/Ruckus. In April 2026, Belden announced its intent to acquire Ruckus Networks from Vistance.

Market dynamics

Wi-Fi 7: from emerging to dominant in eight quarters

Wi-Fi 7 is one of the fastest-ramping enterprise wireless standards in IDC’s tracking. In 1Q24, Wi-Fi 7 represented less than 1% of enterprise dependent AP revenues. By 1Q26, it accounts for 44.5%.

The drivers are structural. The combination of Multi-Link Operation (MLO), 320 MHz channel bandwidth, and 4096-QAM delivers throughput that prior generations cannot match at scale. For enterprise buyers deploying AI-assisted collaboration, high-density video, and real-time location services, Wi-Fi 7 addresses requirements that Wi-Fi 6 and 6E cannot efficiently serve at scale.

AI workloads as a catalyst for wireless refresh

AI-powered enterprise applications are showing up in WLAN refresh conversations in a way that wasn’t true two years ago. As organizations deploy AI tools across workforce productivity, customer engagement, and operations, the demands on network infrastructure intensify. Applications requiring real-time inference, constant cloud connectivity, and low-latency responses to mobile users all stress WLAN capacity. This is pulling forward Wi-Fi 7 decisions on otherwise conservative refresh timelines.

Enterprise refresh cycle and multi-standard coexistence

Not all enterprise buyers are moving to Wi-Fi 7 at the same pace. Large, distributed organizations are managing multi-standard environments where Wi-Fi 6, Wi-Fi 6E, and Wi-Fi 7 coexist across campuses and branch sites. Vendors with strong cloud management platforms that can orchestrate heterogeneous deployments are better positioned to capture refresh spend. The rising average selling price (ASP) of Wi-Fi 7 access points is also contributing to the revenue mix shift above and beyond unit volume.

“Wi-Fi 7’s move to 44.5% of enterprise dependent AP revenues in a single year is one of the faster standard transitions we’ve tracked in enterprise WLAN. The drivers are real and reinforcing: AI workloads demanding lower latency, denser IoT environments, and MLO capabilities that earlier standards simply can’t deliver at scale. The growth outlook for 2026 remains strong, but macroeconomic pressure, memory supply constraints, and competing IT budget priorities are headwinds worth monitoring as the year progresses.” – Brandon Butler, Senior Research Manager, Network Infrastructure & Services, IDC

Why it matters

Who should care?

CIOs, network architects, IT procurement teams, and CFOs planning capital budgets should take note. The Wi-Fi 7 inflection is not a distant trend: it is happening now and the transition carries real implications for refresh planning, vendor selection, and total cost of ownership. Organizations that delay Wi-Fi 7 adoption risk falling behind on the network capabilities required to support enterprise AI and next-generation mobile workloads.

Business impact

The rapid mix shift to Wi-Fi 7 is reshaping enterprise wireless economics. Access points that support Wi-Fi 7 carry higher average selling prices than previous generations, raising per-site deployment costs and requiring renewed budget conversations with finance teams. At the same time, organizations that invest in Wi-Fi 7 are positioning themselves to support AI-driven applications and high-density connectivity scenarios that Wi-Fi 6/6E cannot efficiently serve at scale.

What’s next for the WLAN market

IDC expects the WLAN market to sustain strong growth through 2026, with Wi-Fi 7 continuing to capture a larger share of enterprise revenues as the installed base of Wi-Fi 6 and 6E access points comes up for refresh. IDC’s trajectory analysis suggests Wi-Fi 7 will exceed 50% of enterprise WLAN revenues in the near term, accelerated by enterprise AI adoption, the ongoing campus modernization wave, and competitive pricing pressure as the vendor ecosystem scales up Wi-Fi 7 supply chains.

Competition among the top vendors will stay intense. Cisco’s scale holds in large enterprise. HPE Networking’s AIOps differentiation with HPE Juniper Networking is a credible differentiator in intelligence-forward environments. Ubiquiti is applying cost pressure in the mid-market that the larger players can’t ignore. Macro risks (memory supply chain challenges and tariff exposure) are real headwinds, particularly outside the Americas, but the structural demand driving Wi-Fi 7 adoption isn’t discretionary. The applications requiring it exist today.

Learn more

For deeper analysis and IDC research on enterprise wireless LAN trends, visit the IDC Quarterly Wireless LAN Tracker at idc.com, or contact IDC for the latest market insights and custom research.

Brandon Butler

Brandon Butler - Senior Research Manager, Networking and Infrastructure Services, Enterprise Infrastructure

Brandon Butler is a Senior Research Manager within IDC’s enterprise infrastructure global research domain and part of the networking infrastructure and services subdomain. His research covers market and technology trends, forecasts, and competitive analysis in enterprise campus, branch, and edge…
Petr Jirovsky

Petr Jirovsky - Senior Research Director, Networking and Infrastructure Services, Enterprise Infrastructure

Petr Jirovsky is a Senior Research Director within IDC’s enterprise infrastructure global research domain and part of the Networking and Infrastructure Services subdomain. He provides quantitative insights on network infrastructure for the datacenter, cloud, and campus/branch environments. He serves as…
Diego Anesini

Diego Anesini - VP Data and Analytics, Networking

Diego Anesini serves as Vice-President, Data & Analytics, Networking. Prior to this position, Diego held various roles in the company. The most recent was VP, Data & Analytics for Latin America. He has extensive experience in the Networking, Telecom and…

We are projecting global IT spending on AI to reach $409 billion in 2026, roughly 53% year-over-year growth, and on track to reach $700 billion by 2029. That is not a trend. That is a structural transformation of the global technology economy, playing out in real time.

And yet, for all that investment, the enterprise is not keeping up. AI is now mainstream in production use, with roughly two-thirds of organizations already using AI in live production environments as of the beginning of 2026. But most have not scaled meaningfully beyond targeted, isolated deployments. Broad, full-scale operationalization remains the exception, not the rule. IDC’s FutureScape 2026 research puts a finer point on this, projecting that nearly 50% of AI-driven digital use cases will miss their ROI targets in 2026 due to unclear business gains, weak human-machine collaboration, and poor data foundations.

This is not a technology problem. Technology is advancing faster than at any point in modern enterprise computing history. This is an adoption enablement problem. If you want to dive deeper into the reasoning behind why this is happening, check out our previously published report, The Speed of AI Value Creation in Applications: What’s Causing the Delay?. But the bottom line is that the gap is widening. AI innovation is outpacing enterprise adoption, and vendors building and selling AI software are the only ones positioned to solve it.

The pilot-to-production gap is where value goes to die

We have been here before. In the early cloud era, organizations ran dozens of successful pilots while struggling to migrate core workloads. In the early SaaS era, adoption stalled on integration complexity and change management, not product capability. The pattern is familiar. Technology races ahead, and the enterprise ecosystem (integrations, governance, skills, data infrastructure) takes years to catch up.

AI is repeating this cycle at a faster and more consequential pace. The vendors who recognize that and act on it will define the next era of enterprise software leadership. The vendors who do not will find that great technology alone does not close a revenue gap.

Lead with outcomes, not capabilities

The first imperative is a reframing of what vendors are actually selling. Enterprises do not struggle to understand what AI can do in a demo. They struggle to connect AI capabilities to measurable business outcomes within their specific operating environments, data, workflows, and compliance requirements.

Vendors that lead with model benchmarks and feature roadmaps are speaking a language their buyers have stopped prioritizing. Vendors that lead with quantified outcomes (reduced invoice processing cycle times, lower error rates in demand forecasting, faster financial close) will earn the trust and the internal sponsorship needed to move from pilot to production. This is not a marketing adjustment. It is a fundamental repositioning of the value proposition with direct revenue implications. For any AI provider, growth is no longer tied to license counts. It is tied to how deeply customers embed AI into daily workflows. Outcome-led selling accelerates that depth.

Time-to-value is now a competitive differentiator

One of the most important metrics vendors need to track is time-to-value: how quickly a new customer achieves a materially improved workflow through AI. Right now, that timeline is too long for too many enterprises. Integration complexity, data readiness gaps, and internal skills shortages create friction that stalls momentum and gives procurement committees reasons to pause.

Vendors can close this gap directly. Pre-built integrations for common enterprise architectures, workflow templates calibrated to specific industry use cases, and structured onboarding programs that guide customers from pilot to production are no longer nice-to-have services. They are now the product. Enterprises successfully scaling AI are doing so with vendor partners who meet them where they are, not where the vendor’s road map assumes they should be.

Stop handing the data problem back to the customer

Poor data foundations are consistently among the top barriers to AI ROI. Our research has explicitly shown this, and it’s a core reason why roughly half of AI pilots fail to deliver ROI. Yet many vendors still mistakenly treat data readiness as a customer prerequisite rather than a shared problem.

That assumption needs to end. Vendors who win the next phase of this market will be those who help enterprises assess, clean, and structure their data as part of the implementation process, not as a precondition that customers must solve before the real engagement begins. That means investing in data readiness tooling, offering pre-implementation assessments, and building data quality explicitly into success criteria from day one. At best, handing the data problem back to the customer delays deployment. At worst, it kills the project entirely and takes the renewal with it.

Governance is not a feature. It’s a foundation.

Governance concerns (security, auditability, regulatory compliance, responsible AI use) are significantly slowing enterprise decision cycles. Vendors that treat governance as a layer to add later are creating their own headwinds. Enterprises that stall after a successful pilot often do so not because the AI stopped working, but because legal, compliance, or IT security raised issues that the product was not designed to address.

Building explainability, access controls, audit trails, and compliance frameworks into the core product, rather than bolting them on top, is what separates vendors well-positioned for enterprise deployments from those perpetually stuck at the proof-of-concept stage. And the window to get this right is narrowing, as governance requirements are quickly moving toward regulatory mandates.

Align commercial models to customer success

The vendors best positioned to close the adoption gap will be those who structure their commercial relationships around customer outcomes rather than seat counts or token consumption. Oracle’s recently announced 22 Fusion Agentic Applications are a great example of this refocusing, as they shift their enterprise software solutions from being passive “systems of record” to autonomous “systems of outcomes”. SAP and ServiceNow both recently announced similar positioning. SAP is moving beyond traditional SaaS toward an outcome-oriented model where agentic AI, anchored by Joule, sits between the user and enterprise execution. Users state their business intent, and SAP’s autonomous systems handle the rest, more closely aligning execution with outcome. ServiceNow also made a deliberate pivot toward outcome-driven execution, repositioning itself from a platform of record into what it now calls an “AI control tower.” The shift extends to its partner ecosystem as well, where updated programs now reward vendors based on actual customer outcomes and successful deployments rather than traditional membership tiers.

Vendors need to continually focus more on outcome-based pricing, adoption milestone incentives, and dedicated customer success resources to ensure they’re clearly demonstrating to clients that their financial interests are aligned with customers’ results, and not just with the initial transaction. That alignment builds the trust required for long-term expansion that benefits both parties.

The widening gap between AI innovation and enterprise adoption is real, but it’s closeable. Technology is not the constraint. The path to closing it runs directly through how software vendors show up for their customers, not just at the point of sale, but across the full journey from pilot to production to scale. Vendors who embrace that responsibility will win twice: earning enterprise trust and capturing the market share that comes with it.

Eric Newmark

Eric Newmark - Group Vice President & General Manager of IDC's SaaS, Enterprise Software, CX and Workplace Solutions Division

Eric Newmark is Group Vice President & General Manager of IDC’s SaaS, Enterprise Software, CX, and Workplace Solutions Division, which includes several teams of analysts covering SaaS, 18 enterprise application markets, software monetization, business platforms, marketplaces, and services firms focused…

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.

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.

Who’s winning right now: Q1 2026 market share

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 - Director, Consumer Devices Research

Jitesh Ubrani is a Director at IDC leading a team of analysts within the Worldwide Consumer Device Trackers group, covering wearables, augmented reality (AR), virtual reality (VR), tablets, phones, PCs, gaming, and smart home devices, with a focus on market…

企业AI落地正在从“试点优先”走向“价值优先”,服务商的竞争焦点也从交付项目转向交付持续业务结果。中国AI专业服务市场正在进入由应用落地和运营能力驱动的新阶段。

中国企业级AI服务市场正在经历一次重要转向。过去,企业更关注模型能力、算力资源和试点项目;现在,越来越多客户开始关注AI能否真正嵌入业务流程,能否连接企业数据与核心系统,能否在安全合规的前提下持续产生业务价值。

国际数据公司(IDC)最新发布的《2025H2中国AI专业服务市场跟踪报告》显示,2025年下半年,中国AI专业服务市场继续提速,市场规模近 20亿美元;2025全年市场规模超过 30亿美元。但比规模增长更值得关注的是,市场驱动力正在发生变化:基础设施集成仍是重要基本盘,平台与应用服务、管理与支持服务正在成为新的增长引擎。这意味着,AI专业服务市场的竞争逻辑正在从“谁能建项目”,转向“谁能帮助客户把AI长期用好”

一、市场增长的核心信号:从“建设”走向“建设+应用+运营”

报告显示,2025H2中国AI专业服务市场规模达到近两年来的高点。其中,基础设施集成服务仍是最大板块,云、算力、网络、安全、数据中心、国产化和混合架构建设仍是企业AI服务投入的重要基本盘。

但更值得关注的是结构变化。平台与应用服务在2025H2快速增长,反映企业正在从底层环境建设转向应用现代化、数据平台建设、AI应用开发、RAG/Agent落地和业务系统改造。与此同时,管理与支持服务也呈现高增长态势,说明客户对AI应用上线后的持续运营、应用支持、安全保障和效果监控需求正在提升。

中国AI专业服务市场正在从过去以“项目建设”为中心,逐步进入“建设、应用、运营”并重的新阶段。AI正在推动专业服务从一次性项目交付,走向更长期、更持续的能力运营。

二、AI正在改变专业服务需求结构

过去,专业服务项目更多围绕基础设施部署、系统集成和应用上线展开。但AI应用进入企业场景后,客户需求变得更加复杂。企业不再只要求服务商完成系统交付,而是更关注AI能否接入真实业务数据,能否与现有业务系统和数据平台集成,能否满足权限控制、数据安全和合规要求,能否持续优化模型效果并产生业务价值。这也是平台与应用服务增长的重要原因。

同时,AI应用上线并不意味着项目结束。知识库需要持续更新,Prompt需要管理,模型调用成本需要优化,输出质量需要评估,安全风险需要监控,业务部门使用效果也需要持续跟踪。因此,AI正在推动专业服务从“一次性交付”走向“持续运营”。

三、竞争格局正在重塑:头部厂商稳固基本盘,AI与平台能力成为分化关键

从2025H2市场表现看,中国AI专业服务市场的头部厂商仍主要集中在具备云、算力、基础设施、AI平台和大型政企服务能力的企业之中。华为在基础设施集成服务中保持优势;百度在平台与应用服务中表现活跃,体现出AI平台和大模型应用落地带来的增长机会;联想、新华三、浪潮等企业依托基础设施和全栈服务能力参与市场竞争;软通动力等服务商则在系统集成、本地交付和行业客户服务中保持增长;运营商也依托云网资源、政企客户基础和本地服务能力参与相关项目。

总体来看,2025H2中国AI专业服务市场的竞争不再只是“谁能交付项目”,而是“谁能把基础设施、平台应用和持续运营连接起来”。未来市场分化的关键,将取决于服务商能否从单一项目交付,转向行业化方案、平台化工具和管理化运营。

IDC建议:服务商如何抓住转型窗口?

第一,把AI能力嵌入现有IT服务组合。

服务商不应把AI作为单独的创新实验,而应将AI能力嵌入基础设施集成、平台应用建设和管理支持服务中,形成从环境建设、应用开发到持续运营的完整服务链。

第二,从项目交付转向行业资产沉淀。

平台与应用服务的快速增长说明,客户需求正在行业化和场景化。服务商应沉淀行业知识库、RAG模板、Agent流程、数据连接器、测试集、评估指标和部署蓝图,将项目经验转化为可复制的解决方案,提高交付效率和利润率。

第三,提前布局AI管理运营服务。

管理与支持服务增长显示,客户正在为持续运营能力付费。服务商应强化AI应用监控、模型成本管理、Prompt管理、知识库更新、安全审计和业务效果评估等能力,从一次性项目收入转向持续性服务收入。

IDC认为,2025年下半年,中国AI专业服务市场规模已近20亿美元,全年市场规模超过30亿美元,按人民币口径测算已成为明确的百亿级市场赛道。这一增长不仅是短期项目回暖,更标志着企业AI建设进入新的扩张周期,市场正从传统基础设施建设,向AI驱动的平台应用建设和持续运营服务加速延伸。展望2026年,OpenClaw等智能体平台的规模化落地将进一步深刻重塑AI专业服务市场的发展路径,推动服务内容、交付模式和商业价值的全面升级,成为企业数智化转型的重要引擎。

IDC中国企业级服务研究经理张舒认为,中国AI专业服务市场正在进入从“技术验证”到“业务规模化”的关键转换期。过去企业采购AI服务,更多关注模型能力、应用演示和短期试点;未来企业将更关注服务商是否具备端到端落地能力,包括业务场景识别、数据治理、系统集成、安全合规、AI治理和持续运营。

为了更好地帮助用户了解企业与软件AI的发展动态和未来趋势,IDC正式发布《2025H2中国AI专业服务市场跟踪报告》,并即将启动《2026H1 中国AI专业服务市场跟踪》报告研究,欢迎大家与我们保持沟通交流,与IDC共同开展更多前瞻性与实践性研究。

请点击此处与我们联系

Emily Zhang

Emily Zhang - Research Manager

Emily Zhang is Research Manager for IDC’s Services technology data in China and leads IDC’s PRC IT Services research. Her coverage spans IT consulting, cloud managed services, and AI-related service offerings. Emily delivers data and insights from both tech provider…

腕戴设备市场正在发生静默而深刻的结构性转折。智能手表与手环的走势分化、各价位段需求的冷热不均、区域市场之间的增长落差——这些表象背后,同一个问题是所有参与者必须回答的:当普及红利消退,增量从何而来?本文基于IDC最新发布的《全球可穿戴设备市场季度跟踪报告》,梳理2026年第一季度全球腕戴市场的三大结构性特征、头部厂商的应对策略,以及中国市场的独特发展路径。


根据国际数据公司(IDC)最新发布的《全球可穿戴设备市场季度跟踪报告》,2026年第一季度全球腕戴设备市场出货量为4,705万台,同比增长2.2%。腕戴设备市场包含智能手表和手环产品。其中,全球智能手表市场出货量3,703万台,同比增长4.8%。手环市场出货量1,002万台,同比下滑6.1%。腕戴产品发展背后,全球市场呈现出哪些特点?头部厂商表现如何?中国市场又将呈现哪些异同?本文将为您一一解读。

2026一季度全球腕戴市场发展的三大特点

根据IDC跟踪报告,2026年一季度全球腕戴市场发展呈现以下三个显著特点:

特点一:手表走强,手环疲软

智能手表凭借功能升级稳步增长,部分分流手环用户。手环受去年需求提前透支、存储成本抬升影响,再加入门手表价格下探抢占市场,需求持续承压,整体走势偏弱。

特点二:价位结构升级,入门稳、高端旺

大环境承压下,百元美金以内入门产品依靠刚需稳住出货量;300 美元以上高端机型依托软硬件迭代、健康医疗及AI功能升级,消费升级需求逐渐释放,高端价位段增速突出。

特点三:区域发展分化

中国凭借新品发布与电商促销,成为全球增长主力;美国、拉美受益换新与渗透率提升小幅增长,其他地区受经济影响需求表现平淡。

2026一季度全球腕戴市场Top 5厂商表现

华为

2026 年一季度华为腕戴产品全球出货量登顶。华为时隔5年推出 WATCH GT Runner 2,深耕专业跑步赛道;Ultimate 2 高尔夫版满足进阶人群的专业需求;手环 11 系列补齐入门价位空档。全品类阶梯矩阵落地,完善价格与功能布局,稳固华为穿戴出货领先优势。

Apple

2026年一季度中国市场成为苹果智能手表全球增长核心驱动力。品牌提前落地多轮促销活动有效拉动终端销量;产品高端定价优势明显,可更大程度消化上游元器件涨价带来的成本压力,对冲供应链紧缺负面影响,支撑中国市场业绩稳步上行。

小米

2026年一季度小米智能手表表现优于手环品类。品牌落地 S5 系列新品,持续加大中高端 Watch 5 铺货力度,稳步向上优化产品结构。中高端机型逐渐放量,小米加速优化产品结构,逐步向中高端市场纵深布局。

三星

三星全球主推 Galaxy Watch8 及 8 Classic,但整体出货受内部战略调整小幅收缩。欧美成熟市场需求承压,中东、非洲等新兴市场依托品牌口碑与渗透率提升实现小幅增长,成为品牌现阶段为数不多的增量市场。

佳明

佳明坚守专业户外、运动细分赛道,深耕垂直用户巩固专业产品壁垒;同时加速产品迭代、拓宽大众消费产品线。配合各地阶段性营销与促销落地,品牌兼顾专业与大众市场,在多个区域实现出货同比增长。

2026一季度中国市场发展的三大特点

IDC报告指出,2026年第一季度中国腕戴市场出货量1814万台,同比增长3.5%;其中成人智能手表出货量888万台,同比增长15.3%,儿童手表出货量442万台,同比增长22.4%,手环市场出货量483万台,同比下滑22.2%。

特点一:入门价位补位扩容,五百元档市场回暖

500 元以下成人智能手表一季度出货量回暖。头部品牌产品迭代逐步撤出该价格带,中小品牌顺势优化产品配置填补空白。上游存储成本抬升环境下,该档位机型性价比凸显,精准承接入门刚需,拉动该价位稳步回暖。

特点二:渠道分化凸显,线上增速领跑线下

产品成熟带动消费者选购趋于理性,用户习惯线上比价筛选机型。叠加直播、多平台大促等多元电商业态持续扩容,线上渠道出货增速显著跑赢线下。线下侧重体验成交,增长相对稳健,线上已成为拉动大盘增量的核心载体。

特点三:产品精细化发展,功能人群多元细分

市场开始逐渐尝试跳出同质化堆砌,逐步走向场景与用户分层。更具有针对性的女性向和青少年设计的产品更多出现,在全智能、专业健康、专业运动、日常健康和轻运动等维度打造差异化卖点,围绕细分需求定制产品,精细化细分成为行业明确发展趋势。

针对技术供应商和采购方的建议

建议一:产品分层精细化布局,打造差异化竞争壁垒

厂商应搭建阶梯化、差异化产品矩阵,规避同质化与低价内卷。面对存储成本上涨压力,各价位段需优化配置与定价策略。中小厂商依托优质体验稳固入门市场,头部品牌深耕高端健康、AI、运动功能迭代。通过场景、功能、外观多元差异化设计,覆盖多人群需求,筑牢产品竞争壁垒。

建议二:双线渠道协同布局,高效盘活存量增量市场

厂商需优化线上线下双线渠道协同布局,加大电商、直播等线上资源投入,依托平台优势快速走量、盘活存量。线下门店重点聚焦高端机型体验、售后服务与高价值用户转化,打造线上引流、线下提质增收的良性渠道体系。

建议三:区域市场差异化深耕,分散经营风险挖掘增量

厂商应实施差异化区域运营策略,平衡市场规模与盈利水平。欧美成熟市场避开低价内卷,深耕专业运动、健康垂直圈层守住利润;积极开拓拉美、中东非等新兴市场,凭借性价比快速提升渗透率。同时深耕中国本土市场,依托新品迭代与电商促销持续激活换新增量。

分析师观点与行业建议

IDC认为,全球腕戴行业已告别普及放量期,正式迈入存量精细化竞争阶段。增量不再依靠全民新机普及,转而由产品升级、细分人群、区域下沉三大逻辑驱动。成本波动加速行业洗牌,倒逼品牌放弃低价同质化内卷,依托价位分层与场景细分挖掘新增量,未来品牌综合产品架构、渠道与区域布局的能力将成为拉开份额差距的关键。

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Sophie Pan

Sophie Pan - Research Director, Client System Research

Sophie Pan is a research director for the Client Systems Research team at IDC China. She is responsible for emerging technology device research, including wearable devices and smart home devices. Sophie has a deep understanding of the landscape and ecosystem…