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市場調查報告書

智慧服飾 & 珠寶:流行及技術的機會 2016-2020年

Smart Clothing & Jewellry: Fashion & Technology Opportunities 2016-2020

出版商 Juniper Research 商品編碼 353258
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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智慧服飾 & 珠寶:流行及技術的機會 2016-2020年 Smart Clothing & Jewellry: Fashion & Technology Opportunities 2016-2020
出版日期: 2016年03月01日 內容資訊: 英文
簡介

本報告提供智慧服飾及智慧珠寶市場,及專業、消費者取向的健身用服飾、人體感測器設備的主要的對機會的相關調查,對服飾型穿戴式裝置來說最好的利用案例,促進市場上的創新的技術因素,主要的障礙和應對方法,現在、未來的經營模式,及主要企業等相關分析。

市場趨勢、競爭情形

第1章 生活的穿戴式裝置?

  • 簡介
  • 調查範圍
  • 穿戴式設備定義
    • 智慧服飾 & 珠寶定義
  • 智慧服飾 & 珠寶的功能
    • 技術
    • 利用案例
  • 生活方式穿戴式裝置部門動態
  • 主要的市場成長的促進要素
  • 主要市場障礙
  • 主要的市場趨勢

第2章 智慧服飾 & 珠寶的生態系統

  • 簡介
  • 週邊設備的生態系統
  • 生態系統的成員 & 相關利益者
  • 智慧服飾 & 珠寶的經營模式
    • 硬體設備收益的經營模式
    • 技術解決方案提供的經營模式
    • 廠商經濟的經營模式
    • 設備 & 服務的經營模式
  • Juniper Research 的破壞者 & 挑戰者分析
    • 情形分析

第3章 智慧服飾 & 珠寶的預測

  • 簡介
  • 預測手法
  • 智慧服飾 & 珠寶的數量預測
    • 設備的用戶數
    • 設備的出貨台數
  • 智慧服飾 & 珠寶的硬體設備收益預測
    • 分類的預測
    • 各地區預測
目錄

Overview

Juniper's Smart Clothing & Jewellery research provides incisive analysis, appraising the key opportunities for smart clothing and smart jewellery, as well as professional and consumer fitness clothing and body sensors devices.

Our annual research service includes regular quarterly updates and is a must-have purchase for both leaders and start-ups looking to establish themselves in this sector.

The research comprises two documents:

  • Market Trends & Opportunities (PDF)
  • 5 Year Market Sizing & Forecast Spreadsheet (Excel)

Key Features

  • Discussion of current technological capabilities and key use cases in this nascent segment.
  • In-depth assessment of the key disruptive factors driving adoption and development.
  • Granular industry forecasts providing size and growth data for hardware, split by segment:
    • Consumer Fitness Clothing
    • Professional Fitness Clothing
    • Professional Fitness Body Sensors
    • Other Connected Clothing
    • Smart Jewellery
  • Current and anticipated capability assessment, including an analysis of the competitive landscape for several key vendors and an outline of the technologies currently used in these devices.
  • Ecosystem analysis, discussing current and future business models for players throughout the value chain.

Key Questions

  • 1. What are the best use cases for clothing-based wearables?
  • 2. What elements of technology are driving innovation in the space?
  • 3. What are the key barriers to advancing this space, and how can they be overcome?
  • 4. What business models currently exist and what will they look like in the future?
  • 5. Who are the main players in this market, and where are they focused?

Companies Referenced

AiQ, Amazon, ANT+ Alliance, Athos, Bluetooth SIG, Cambridge Consultants, Chromat, CliMate, CUFF, eBay, FashionTEQ, FirstSign, Fitbit, Footfalls & Heartbeats, Google, Guardian Angel, Henry Holland, Hexoskin, Intel, Jewelbots, Kerv, L'Oreal, LifeBEAM, Logbar, MasterCard, Microsoft, Misfit, Netamo, Neyya, NXP, OMSignal, PCH, Pebble, Qualcomm, Ringly, Samsung, Sensoria, Siren, Sony, SunFriend, SunSprite, Swarovski, Texas Instruments, Tory Burch, Trellie, Ubimax, Violet, Vuzix, Wearable Life Science, Zebra Technologies

Data & Interactive Forecast

Juniper's Smart Clothing & Jewellery Forecast suite includes:

  • Data splits for smart clothing, smart jewellery, and body sensors, across 8 key regions and 12 countries:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Interactive Excel Scenario Tool allowing users to manipulate Juniper's data for more than 10 different metrics.
  • Access to the full set of forecast data of 55 tables and over 7,000 data points.

Juniper Research's highly granular Interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions by using the Interactive Scenario Tool, and compare select markets and sectors side by side in customised charts and tables. Interactive Excels greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Wearables for Life?

  • 1.1. Introduction
  • 1.2. Research Scope
  • 1.3. Defining Wearable Devices
    • 1.3.1. Smart Clothing & Jewellery Definition
  • 1.4. Smart Clothing & Jewellery Capabilities
    • 1.4.1. Technologies
      • i. eTextiles
        • Figure 1.1: Sony ePaper Bowtie
        • Figure 1.2: Fashion TEQ's ePaper-based Zazzi Jewellery
      • ii. Case Study: Footfalls & Heartbeats
      • iii. Connectivity
        • Figure 1.3: Kerv NFC Ring
        • Figure 1.4: Arena Powerskin Carbon-FIex idOO Interaction
      • iv. Case Study: idOO
      • v. Sensors
    • 1.4.2. Use Cases
      • ii. Case Study: Jewelbots
        • Figure 1.5: Jewelbots Band Features
      • vii. Case Study: L'Oréal My UV Patch
        • Figure 1.6: L'Oréal My UV Patch
  • 1.5. Lifestyle Wearables Sector Dynamics
    • Figure 1.7: Juniper Sector Dynamics for Lifestyle Wearables
  • 1.6. Key Market Drivers
  • 1.7. Key Market Barriers
    • Figure 1.8: Ringly Smart Ring
  • 1.8 Key Market Trends

2. Smart Clothing & Jewellery Ecosystem

  • 2.1. Introduction
  • 2.2. The Peripherals Ecosystem
  • 2.3. Ecosystem Members & Stakeholders
  • 2.4. Smart Clothing & Jewellery Business Models
    • 2.4.1. Hardware Revenue Business Model
      • Figure 2.1: Hardware Revenue Business Model
    • 2.4.2. Technolo Solutions Provision Business Model
      • Figure 2.2: Technology Solutions Provision Business Model
    • 2.4.3. Maker Economy Business Model
      • Figure 2.3: Initial Maker Economy Business Model
      • Figure 2.4: Mature Maker Economy Business Model
    • 2.4.4. Devices & Service Business Model
      • Figure 2.5: Hardware-focused Devices & Service Business Model.
      • Figure 2.6: Software-focused Devices & Services Business Model
  • 2.5. Juniper Research Disruptors & Challengers Analysis
    • Figure 2.7: Juniper Disruptors & Challengers Quadrant
    • 2.5.1. Landscape Analysis
      • i. Embryonic Vendors
      • ii. Catalysts
      • iii. Disruptors

3. Smart Clothing & Jewellery Forecasts

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Forecast Steps
      • i. Analysis of the Current Market
      • ii. Smartphone Penetration
    • 3.2.2. Clothing Forecast Category Divisions
      • Figure 3.1: Smart Clothing & Jewellery Forecast Divisions
    • 3.2.3. Methodology for Shipments, Installed Base & Market Value of Smart Clothing & Jewellery
    • 3.2.4. Methodology for Installed Base & Shipments of Professional Clothing-based Sports Equipment
      • Figure 3.2: Smart Clothing & Jewellery Consumer Forecast Methodology
      • Figure 3.3: Professional Smart Clothing Forecast Methodology
  • 3.3. Smart Clothing & Jewellery Unit Forecasts
    • 3.3.1. Device Installed Base
      • i. Category Forecasts
        • Figure & Table 3.4: Smart Clothing & Jewellery Installed Base per annum (m) Split by Category, 2015-2020
      • ii. Regional Forecasts
        • Figure & Table 3.5: Smart Clothing & Jewellery Installed Base pera nnum (m) Split by 8 Key Regions, 2015-2020
    • 3.3.2. Device Shipments
      • i. Category Forecasts
        • Figure & Table 3.6: Smart Clothing & Jewellery Shipments per annum (m) Split by Category, 2015-2020
      • ii. Regional Forecasts
        • Figure & Table 3.7: Smart Clothing &Jewellery Shipments pera nnum (m) Split by 8 Key Regions, 2015-2020
  • 3.4. Smart Clothing & Jewellery Hardware Revenue Forecasts
    • i. Category Forecasts
      • Figure & Table 3.8: Smart Clothing & Jewellery Hardware Revenue per Annum ($m) Split by Category, 2015-2020
    • ii. Regional Forecasts
      • Figure & Table 3.9: Smart Clothing & Jewellery Hardware Revenue per Annum ($m) Split by 8 Key Regions, 2015-2020
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