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市場調查報告書

智慧健康&健身穿戴式裝置:經營模式、預測、供應商的佔有率 2016-2020年

Health & Fitness Wearables: Business Models, Forecasts & Vendor Share 2017-2021

出版商 Juniper Research 商品編碼 319689
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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智慧健康&健身穿戴式裝置:經營模式、預測、供應商的佔有率 2016-2020年 Health & Fitness Wearables: Business Models, Forecasts & Vendor Share 2017-2021
出版日期: 2017年02月01日 內容資訊: 英文
簡介

本報告提供現在、未來的健康&健身穿戴式裝置市場相關詳細資訊及考察、智慧健康&健身穿戴式裝置的用戶數、出貨台數、硬體設備收益及設備業務收益的預測等彙整資料。

第1章 連接健康與健身的點和設備

  • 簡介
  • 穿戴式設備定義
    • 健身穿戴式裝置
    • 醫療保健穿戴式裝置
  • 健身 & 醫療保健穿戴式裝置的功能
    • 硬體設備功能
    • 軟體功能

第2章 健康 & 健身穿戴式裝置市場動態

  • 健康 & 健身穿戴式裝置市場動態
  • 健康 & 健身穿戴式裝置市場主要促進要素
  • 健康 & 健身穿戴式裝置市場主要障礙
  • 健康 & 健身穿戴式裝置市場趨勢
    • 案例研究:SenseGiz STAR
    • 案例研究:Jawbone UP
  • 健康 & 健身穿戴式裝置價值鏈分析

第3章 健康 & 健身穿戴式裝置市場預測手法

  • 簡介
  • 預測手法
    • 預測階段
    • 出貨量、用戶數、市場規模的調查手法
    • 軟體 & 服務調查手法

第4章 健身穿戴式裝置預測

  • 健身穿戴式裝置台數預測
    • 用戶數預測
    • 設備出貨量預測
    • 軟體預測
  • 健身穿戴式裝置收益預測
    • 設備收益
    • 軟體 & 業務收益

第5章 醫療保健穿戴式裝置預測

  • 簡介
  • 醫療保健穿戴式裝置台數預測
    • 設備用戶數
    • 設備出貨
    • 年度的軟體訪問數
  • 醫療保健穿戴式裝置收益預測
    • 硬體設備收益
    • 軟體 & 業務收益

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目錄

Overview

Juniper's comprehensive Health & Fitness Wearables research outlines the key trends and opportunities in this evolving market. The research charts the latest technological and business developments in the smart health and fitness wearables space, as well as providing in-depth forecasts across a variety of metrics. Our must-have research analyses the current and future market outlook for a number of use cases:

  • Consumer Fitness Trackers
  • Consumer Hearables
  • Professional Body Sensors
  • Professional Smart Fitness Clothing

This research comprises:

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

Key Features

  • Technological Developments: Assessment of the current state of health and fitness wearables technologies, detailing prospects for their future development and showcasing key recent products and initiatives.
  • Trends Assessment: Strategic evaluation of the state of the health and fitness wearables market, alongside key macro trends affecting the market.
  • Competitive Landscape & Ecosystem Analysis: Outline of the smart health and fitness wearables value chain, detailing opportunities for a variety of players and business models, and assessing the prospects of 26 companies providing products and services for this sector.
  • Benchmark Industry Forecasts: Market segment forecasts for fitness and healthcare wearables installed base, shipments and revenues, as well as software and services. Hardware forecasts split by:
    • Sector (Healthcare, Consumer Fitness, Professional Fitness)
    • Functionality (Multifunctional, Unifunctional)
    • Form factor (Wristband, Ear-based, Clothing, Others)
    • Vendor (Fitbit, Jawbone, Misfit, Xiaomi, Others)

Key Questions

  • 1. What are the main trends influencing the health and fitness wearables market?
  • 2. How are fitness devices going to evolve in the next few years?
  • 3. Which business models are currently prevalent, which are emerging, and what effect do they have on the space?
  • 4. What kinds of fitness devices or clothing will consumers use in the coming years?
  • 5. Where are the main markets for smart fitness wearables and where will be key development areas in the coming years?

Companies Referenced

Adidas, American Express, Analog Devices, Apple, Athos, Bluetooth SIG, Bosch, Broadcom, Catapult, CNBC, Coin, Doctor on Demand, Dynastream Innovations, FIFA, Firstbeat, Fitbit, Flextronics, Fossil, Foxconn, Garmin, Google, GOQii, GymWatch, HealthTap, Huawei, iHealth, Intel, InvenSense, Jawbone, L'Oreal, LG, MapMyFitness, MediaTek, Medtronic, Microsoft, Misfit, Motiv, Motus, Nike, Omron, Pebble, Polar, QardioCore, Qualcomm, Samsung, Sensoria, ShotTracker, Sony, ST Microelectronics, Texas Instruments, Timex, Under Amour, Valencell, Verily, Welldoc, Withings, Xiaomi, XOS, Zebra Technologies, Zephyr Performance Systems.

Data & Interactive Forecast

Juniper's Health & Fitness Wearables forecast suite includes:

  • Data splits for both health and fitness wearables, across 8 key regions and 12 countries:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • South Korea
    • Spain
    • Sweden
    • UK
    • US
  • Fitness hardware segment split by:
    • Sector: Consumer & Professional
    • Functionality: Multifunctional & Unifunctional
    • Device Form Factor: Smart Clothing, Wristband, Hearables, Others
    • Device Vendor: Fitbit, Jawbone, Misfit, Xiaomi, Others for US, UK, China and ROW (Rest of World).
  • Fitness Wearable Apps split by:
    • Native fitness apps
    • Smartphone-based control apps
  • Fitness & Healthcare Wearable services forecasts.
  • Interactive Scenario Tool allowing users to manipulate Juniper's data for 28 different metrics.
  • Access to the full set of forecast data of 131 tables and over 16,000 datapoints.

Juniper Research's highly granular Interactive Forecast Excels (Ifxls) 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. Ifxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. Health & Fitness Wearables: Fit for Purpose?

  • 1.1. Introduction
  • 1.2. Defining Wearable Devices
    • l.2.1. Fitness Wearables
    • 1.2.2. Healthcare Wearables
  • 1.3. Fitness & Healthcare Wearables Capabilities
    • 1.3.1. Hardware Capabilities
      • i. Connectivity
      • ii. Sensors
        • Figure 1.1: QardioCore Wearable ECG
        • Figure 1.2: Motiv Ring
      • iii. Case Study: Motiv Ring
        • Figure 1.3: L'0real UV Patch & App
      • iv. Case Study: L'Oreal La Rosche-Posay My UV Patch
    • 1.3.2. Software Capabilities
      • i. Apps
        • Figure 1.4: Withings App Partnerships
      • ii. On-Device Software
      • iii. Platform Software

2. Health & Fitness Wearables Market Trends & Overview

  • 2.1. Health & Fitness Wearables Market Dynamics
    • Figure 2.1: Juniper Sector Dynamics for Health & Fitness Wearables
    • 2.1.1. Drivers
      • Figure 2.2: Countries writh Universal Healthcare Provision
      • Figure 2.3: Proportion of Smartphones Launched with 9-axis Sensors (accelerometer, magnetometer, gyroscope), 2010-2016
      • Figure 2.4: Fitbit Active & Registered Users (m), 2012-2015
    • 2.1.2. Constraints
    • 2.1.3. Trends
      • Figure 2.5: Wearables Category Convergence Drivers
      • Figure 2.6: Under Amour Healthbox Promotional Image
  • 2.2. Health & Fitness Wearables Value Chain Analysis
    • 2.2.1. Ecosystem Members & Stakeholders
      • i. Component Manufacturers & Technology Providers
      • ii. Device Vendors
        • Figure 2.7: Hardware Revenue Business Model
        • Figure 2.8: Subsidised Hardware Revenue Business Model
      • iii. Software Vendors
        • Figure 2.9: App Subscription Business Model
        • Figure 2.10: Device & Platform Provision Business Model
    • 2.2.2. Player Analysis & Positioniong: Juniper Disruptors & Challengers Quadrant
      • Figure 2.11:Juniper Health & Fitness Wearables Disruptors & Challengers Quadrant
      • i. Disruptors
      • ii. Catalyst Players
      • iii. Nascent Players
      • iv. Embryonic Players

3. Health & Fitness Wearables Market Forecast Methodology

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Forecast Steps
      • i. Analysis of the Current Market
      • ii. Smartphone Penetration
    • 3.2.2. Methodology for Shipments, Installed Base & Market Value of Smart Health & Fitness Wearables
    • 3.2.3. Health & Fitness Wearables Software & Service Methodology
      • Figure 3.1: Fitness Wearables Forecast Methodology
      • Figure 3.2: Fitness Hearables Forecast Methodology
      • Figure 3.3: Wearable Body Sensors Forecast Methodology
      • Figure 3.4: Healthcare Wearables Forecast Methodology

4. Fitness & Sports Wearables Forecasts

  • 4.1. Fitness & Sports Wearables Category Forecasts
    • 4.1.1. Device Installed Base
      • Figure & Table 4.1: Fitness & Sports Wearables Installed Base annum (m), Split by Category, 2016-2021
    • 4.1.2. Device Shipments
      • Figure & Table 4.2: Fitness & Sports Wearables Shipped per annum (m), Split by Category, 2016-2021
    • 4.1.3. Hardware Revenues
      • Figure & Table 4.3: Fitness & Sports Wearables Hardware Revenue per annum ($m), Split by Category, 2016-2021
    • 4.1.4. Software & Service Revenues
      • Figure & Table 4.4: Fitness & Sports Wearables Software & Services Revenue per annum ($m), Split by Category, 2016-2021
  • 4.2. Fitness & Sports Wearables Regional Forecasts
    • 4.2.1. Device Installed Base
      • Figure & Table 4.5: Fitness & Sports Wearables Installed Base per annum (m), Split by Region, 2016-2021
    • 4.2.2. Device Shipments
      • Figure & Table 4.6: Fitness & Sports Wearables Shipped per annum (m), Split by Region, 2016-2021
    • 4.2.3. Hardware Revenues
      • Figure & Table 4.7: Fitness & Sports Wearables Hardware Revenue per annum ($m), Split by Region, 2016-2021
    • 4.2.4. Software & Services Revenues
      • Figure & Table 4.8: Fitness & Sports Wearables Software & Services Revenue per annum ($m), Split by Region, 2016-2021

5. Healthcare Wearables Forecasts

  • 5.1. Healthcare Wearables Unit Forecasts
    • 5.1.1. Device Installed Base
      • Figure & Table 5.1: Healthcare Wearables Installed Base per annum (m), Split by Region, 2016-2021
    • 5.1.2. Device Shipments
      • Figure & Table 5.2: Healthcare Wearables Shipped per annum (m), Split by Region, 2016-2021
    • 5.1.3. Healthcare Wearables Software Accessed Per Annum
      • Figure & Table 5.3: Healthcare Wearable Apps Accessed per annum (m), Split by Region, 2016-2021
  • 5.2. Revenue Forecasts
    • 5.2.1. Hardware Revenues
      • Figure & Table 5.4: Healthcare Wearable Hardware Revenues per annum (m), Split by Region, 2016-2021
    • 5.2.2. Software Revenues
      • Figure & Table 5.5: Healthcare Wearable Software & Services Revenue per annum ($m), Split by Region, 2016-2021
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