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市場調查報告書

智慧眼鏡:消費者、企業、醫療部門的策略及預測

Smart Glasses: Consumer & Enterprise Smart Glasses: Opportunities & Forecasts 2016-2020

出版商 Juniper Research 商品編碼 290005
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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智慧眼鏡:消費者、企業、醫療部門的策略及預測 Smart Glasses: Consumer & Enterprise Smart Glasses: Opportunities & Forecasts 2016-2020
出版日期: 2016年02月02日 內容資訊: 英文
簡介

本報告提供消費者、企業、醫療部門的智慧眼鏡的市場機會的相關調查、智慧眼鏡概要、專利情形、成長推進因素、阻礙要素分析、近幾年的發展趨勢、成長方案和各利用數、出貨數、收益的預測、最終用途部門(消費者、企業、醫療)的預測等彙整資料。

第1章 摘要整理

  • 簡介
  • 用語
    • 智慧無線配件
    • 智慧穿戴式設備
    • 智慧眼鏡
  • 智慧眼鏡的市場促進因素、阻礙要素
    • 市場促進因素
    • 市場成長的阻礙要素
  • 摘要:預測

第2章 智慧眼鏡概要

  • 簡介
  • 調查範圍
  • 用語
    • 智慧無線配件
    • 智慧無線生態系統
    • Appcessories (應用配件)
    • 智慧穿戴式設備
    • 智慧眼鏡
  • 智慧眼鏡的專利
    • Google的智慧眼鏡專利
    • Microsoft的智慧眼鏡專利
    • Samsung的智慧眼鏡專利
    • Olympus Corporation 的智慧眼鏡專利

第3章 智慧眼鏡的市場動態

  • 行動生態系統趨勢
    • 智慧型手機市場
    • 對週邊設備的適合性
    • 應用
  • 成長推進因素、阻礙要素
    • 市場促進因素
    • 市場成長的阻礙要素
  • 市場趨勢、近幾年的發展趨勢
    • 簡介
    • 消費者取向市場
    • 企業市場
  • 市場策略

第4章 預測手法、智慧眼鏡市場預測

  • 簡介
  • 預測手法
    • 目前市場分析
    • 智慧型手機的普及率
    • 經營模式、企業展望的評估
    • 預測主要的階段
  • 智慧眼鏡市場預測:摘要
    • 「漸進革新」方案的預測:利用數、出貨數、收益
    • 「早期體驗」方案的預測:利用數、出貨數、收益
    • 「重點案例」方案的預測:利用數、出貨數、收益
  • CE智慧眼鏡的預測
    • 「早期體驗」CE區分的預測:利用數、出貨數、收益
  • 一般企業用途的智慧眼鏡的預測
    • 安裝基礎、出貨數的預測
    • 設備收益的預測
  • 醫療用智慧眼鏡的預測
    • 安裝基礎、出貨數的預測
    • 設備收益的預測
  • 方案比較、總論

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目錄

Overview

Juniper Research's Wearable Device research suite is the only service providing an end-to-end analysis of this new and fast developing segment, mapping the future path for this exciting technology.

Juniper's Smart Glasses research provide incisive analysis of this particular wearables sector, appraising the key opportunities for these devices in the Enterprise, Consumer Electronics and Healthcare sectors. The research service, accompanied by regular quarterly updates, is a must-have purchase for both leaders and start-ups looking to establish itself in this sector.

Key Features

  • Extensive analysis of the devices' implications for, and prospects in, today's connected world.
  • Commentary on market strategies available to players in each segment, as well as discussing potential future devices and opportunities.
  • Implications of an array of smart glasses-relevant patents for device capabilities.
  • Benchmark industry forecasts for size and growth of the smart glasses wearable segment.
  • Expert recommendations and competitive analysis for stakeholders.

Key Questions

  • 1. What are the current trends in the smart glasses market?
  • 2. What does current developments mean for the future of the sector?
  • 3. Who are the key players in this space and what strategies are they using?
  • 4. What are the best current use cases for these devices?
  • 5. What are the main barriers to smart glasses adoption, and how can they be overcome?

Companies Referenced

AdMob, AdSense, AdWords, Android Police, Apple, Baidu, BBC, Beats Audio, BestBuy, BiTE interactive, BlackBerry, Blogger, CAST (Centre for Creative and Social Technology), Crunch Base, Facebook, Forbes, Foxconn, Google, Infologix, Intel, ION, iZettle, Jawbone, JBL, Kickstarter, Lumus, Meta, Metaio, Microsoft, MiKandi, MIT, Motorola, Nike, Nintendo, Nokia, NTT Docomo, Oculon, Olympus, Osterhout Design Group, PatentBolt, Philips, Picasa, Rackspace, Recon, Rockwell, Samsung, SAP, Seiko, SITA Labs, Sony, TechRadar, The New York Times, The Verge, UK Department of Transport, US PTO (US Patent and Trademark Office), Verizon, ViA, Vuzix, YouGov, YouTube.

Data & Interactive Forecast

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Forecast suite includes:

  • Country level data splits for Canada, China, Germany, Japan, South Korea, UK and US as well as 8 key regions.
  • Segment split by Consumer, General Enterprise & Healthcare.
  • Global vendor (Google, Vuzix, Samsung, & Others) and OS (Android, Tizen, & Others) splits.
  • Scenario forecasts assuming slow and faster category growth namely Incremental Innovation, Early Exposure, and Key Case scenarios.
  • What-If Analysis tool allowing user the ability to manipulate Juniper's data for 10 different metrics.
  • Access to the full set of forecast data of 125 tables and 10,000 datapoints.

Table of Contents

1. Executive Summary

  • 1.1. Introduction
  • 1.2. Terminology
    • 1.2.1. Smart Wlireless Accessories
    • 1.2.2. Smart Wearable Devices
    • 1.2.3. Smart Glasses
  • 1.3. Smart Glasses Market Drivers and Constraints
    • Figure 1.1: Smart Glasses Drivers and Constraints
    • 1.3.1. Market Drivers
      • Table 1.2: Smart Glasses Market Drivers
    • 1.3.2. Market Constraints
      • Table 1.3: Smart Glasses Market Constraints
  • 1.4. Smart Glasses Summary Forecast
    • Figure 1.4: Smart Glasses Shipments (m) and Revenue ($m) Scenario Comparison 2014-2019

2. Smart Glasses in View

  • 2.1. Introduction
  • 2.2. Report Scope
  • 2.3. Terminology
    • 2.3.1. Smart Wireless Accessories
      • Figure 2.1: Smart Wireless Accessories Segments
    • 2.3.2. Smart Wireless Ecosystems
      • Figure 2.2: Smart Wearable Device Segments
    • 2.3.3. App-enabled Accessories or ‘Appcessories'
    • 2.3.4. Smart Wearable Devices
    • 2.3.5. Smart Glasses
      • Figure 2.3: Vuzix M100 Smart Glasses for Enterprise
      • Figure 2.4: Recon Jet Smart Glasses
      • Figure 2.5: Recon Instruments Partners
  • 2.4. Smart Glass Patents
    • 2.4.1. Google's Smart Glasses Patents
      • Figure 2.6: Google Wearable Device Display Patent, 5th Aug 2014
      • Figure 2.7: GlassUP Smart Glasses
      • Figure 2.8: Google Wearable Device Display Patent, 12th Aug 2014
    • 2.4.2. Microsoft's Smart Glasses Patents
      • Figure 2.9: Microsoft's Smart Glasses Patent
      • Figure 2.10: Microsoft Smart Glasses Usage with a Paired Device
      • Figure 2.11: Microsoft Image Recognition Patent
      • Figure 2.12: Microsoft Smart Glasses Navigation Patent
    • 2.4.3. Samsung's Smart Glasses Patents
      • Figure 2.13: Samsung 2013 Sports Glasses Patent
      • Figure 2.14: Samsung 2014 Smart Glasses Patent
      • Figure 2.15: Samsung Virtual Keyboard Patent
    • 2.4.4. Olympus' Smart Glasses Patents
      • Figure 2.16: Olympus Smart Glass Patent
      • Figure 2.17: Olympus Smart Glass Patent Modularity

3. Smart Glasses Market Dynamics

  • 3.1. Mobile Ecosystem Trends
    • 3.1.1. The Smartphone Market
      • Figure 3.1: Global Smartphone Shipment Price Band Distribution 2014-2019
    • 3.1.2. Suitability for Peripherals
    • 3.1.3. Apps
      • i. Killer Apps and Vertical Markets
  • 3.2. Drivers & Constraints
    • Figure 3.2: Smart Glasses Drivers and Constraints
    • 3.2.1. Market Drivers
      • i. Intuitive Use Case for Enterprise
      • ii. Open platforms break down OS barriers
    • 3.2.2. Market Constraints
      • i. Social and Legal Acceptance
        • Figure 3.3: Skully Smart Motorcycle Helmet Display
      • ii. Technical Limitations
      • iii. Limited Use Case for Consumers
  • 3.3. Market Trends & Recent Developments
    • 3.3.1. Introduction
      • Figure 3.4: HUD and AR Smart Glasses Features
    • 3.3.2. Consumer Market
      • Figure 3.5: PivotHead SMART Series glasses
    • 3.3.3. Enterprise Market
      • Figure 3.6: Google Glass Scanning Use Case
  • 3.4. Market Strategies

4. Forecast Methodology & Smart Glasses Market Forecasts

  • 4.1. Introduction
  • 4.2. Forecast Methodology
    • 4.2.1. Analysis of the Current Market
    • 4.2.2. Smartphone Penetration
    • 4.2.3. Evaluation of Business Model and Company Prospects
    • 4.2.4. Smart Glasses Forecast Methodology Steps
      • Figure 4.1: Smart Glasses Forecast Methodology
  • 4.3. Smart Glasses Market Forecast Summary
    • 4.3.1. Incremental Innovation Forecasts: In Use, Shipments & Revenue
      • i. Global Installed Base and Shipment Forecasts
        • Figure & Table 4.2: Global Smart Glasses Installed Base (m) Incremental Innovation Scenario Split by Device Segment 2014-2019
        • Figure & Table 4.3: Global Smart Glasses Shipments (m) Incremental Innovation Scenario Split by Device Segment 2014-2019
      • ii. Global Smart Glasses Hardware Revenue Forecasts
        • Figure & Table 4.4: Global Smart Glasses Revenue ($m) Incremental Innovation Scenario Split by Device Segment 2014-2019
    • 4.3.2. Early Exposure Forecasts: In Use, Shipments & Revenue
      • i. Global Installed Base and Shipment Forecasts
        • Figure & Table 4.5: Global Smart Glasses Installed Base (m) Early Exposure Scenario Split by Device Segment 2014-2019
        • Figure & Table 4.6: Global Smart Glasses Shipped (m) Early Exposure Scenario Split by Device Segment 2014-2019
      • ii. Global Smart Glasses Hardware Revenue Forecasts
        • Figure & Table 4.7: Global Smart Glasses Device Revenue ($m) Early Exposure Scenario Split by Device Segment 2014-2019
    • 4.3.3. Key Case Forecasts: In Use, Shipments & Revenue
      • i. Global Installed Base and Shipment Forecasts
        • Figure & Table 4.8: Global Smart Glasses Installed Base (m) Key Case Scenario Split by Device Segment 2014-2019
      • ii. Global Smart Glasses Hardware Revenue Forecasts
        • Figure & Table 4.9: Global Smart Glasses Hardware Revenue ($m) Key Case Scenario Split by Device Segment 2014-2019
  • 4.4. CE Smart Glasses Forecasts
    • 4.4.1. Early Exposure CE Segment Forecasts: In Use, Shipments & Revenue
      • i. Early Exposure Global Installed Base and Shipment Forecasts
        • Figure & Table 4.10: Global CE Smart Glasses Installed Base (m) Early Exposure Scenario Split by 8 Key Regions 2014-2019
        • Figure & Table 4.11: Global CE Smart Glasses Shipped (m) Early Exposure Scenario Split by 8 Key Regions 2014-2019
      • ii. Installed Base and Shipments Scenario Comparisons
        • Figure & Table 4.12: Global CE Smart Glasses Installed Base (m) Scenario Comparison 2014-2019
        • Figure & Table 4.13: Global CE Smart Glasses Shipments (m) Scenario Comparison 2014-2019
        • Figure & Table 4.14: Global CE Smart Glasses Shipments (m) Scenario Comparison 2014-2019
      • iii. Early Exposure Global Smart Glasses Hardware Revenue Forecasts
        • Figure & Table 4.15: Global CE Smart Glasses Revenue ($m) Early Exposure Scenario Split by 8 Key Regions 2014-2019
      • iv. Hardware Revenue Scenario Comparisons
        • Figure 4.16: CE Smart Glasses Revenue ($m) Scenario Comparison 2014-2019
  • 4.5. General Enterprise Smart Glasses Forecasts
    • 4.5.1. General Enterprise Installed Base and Shipments Forecasts
      • Figure & Table 4.17: Global General Enterprise Smart Glasses Installed Base (m) Split by 8 Key Regions 2014-2019
        • Figure & Table 4.18: Global General Enterprise Smart Glasses Shipments (m) Split by 8 Key Regions 2014-2019
    • 4.5.2. General Enterprise Device Revenue Forecasts
      • Figure & Table 4.19: Global General Enterprise Smart Glasses Revenue ($m) Split by 8 Key Regions 2014-2019
  • 4.6. Healthcare Smart Glasses Forecasts
    • 4.6.1. Healthcare Installed Base and Shipments Forecasts
      • Figure & Table 4.20: Global Healthcare Smart Glasses Installed Base (m) Split by 8 Key Regions 2014-2019
      • Figure & Table 4.21: Global Healthcare Smart Glasses Shipments (m) Split by 8 Key Regions 2014-2019
    • 4.6.2. Heathcare Device Revenue Forecast
      • Figure & Table 4.22: Global Healthcare Smart Glasses Revenue (m) Split by 8 Key Regions 2014-2019
  • 4.7. Scenario Comparison and Conclusion
    • Figure 4.23: Smart Glasses Shipments (m) and Revenue ($m) Scenario Comparison 2014-2019
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