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Smart Wearable Devices: Fitness, Glasses, Watches, Multimedia, Clothing, Jewellery, Healthcare & Enterprise 2014-2019

Overview

  • New Scenario-based Forecasts
  • New Lifestyle Segment Forecasts
  • Segment-by-Segment Market Analysis

This third edition of Juniper Research's industry benchmark report on Smart Wearable Devices provides an extensive analysis of the development of the consumer and enterprise wearables market, analysing current trends and outlining the future path for this exciting technologyThis industry leading report includes a comprehensive market data set, expanding the previous forecast suite to include additional device level market granularity.

This Report is available separately or with the accompanying IFxl.

The report includes revised and new forecast data for the global wearable device market, categorising it into 8 key segments, including:

  • Sports & Fitness Wearables
  • Multimedia & Entertainment Wearables
  • Lifestyle Wearables: Smart Clothing, Smart Jewellery
  • Smart Watches
  • Smart Glasses
  • Enterprise Wearables
  • Healthcare Wearables
  • Military Wearables

An accompanying IFxl (Interactive Forecast Excel) is also available offering what-if analysis, granular market forecasts and a set of regional and sector analysis tools.

What this Report Covers

New & Updated Forecast Suite

With over 65 pages and 4 exclusive chapters of forecasts in the report, this updated study provides an extensive breakdown for the following data points:

  • The installed base and total number of smart wearable devices shipped per annum, split by region, country and segment.
  • Average retail price for smart wearable devices bought ($) and associated Retail Market Revenue ($m), split by region, country and segment.
  • Associated Service Revenues ($m), split by region and country.

The report also outlines 3 possible forecast scenarios for wearables market development:

  • Incremental Innovation - This scenario assumes slow category growth, no faster than currently observed, as wearables fail to capture the public's imagination.
  • Early Exposure - A flurry of releases in 2014 and 2015 will expose consumers to wearable devices, and create a large temporary growth spurt, which will slow in later years.
  • Key Case - Our most optimistic scenario assumes that wearables find their key use and the buzz created around these new products is sustained until 2019, driving high growth for the category.

Wearables Segment Analysis

The report outlines key market trends along with strategies to best navigate this rapidly changing marketplace. It discusses the critical barriers that need to be overcome for a wider consumer adoption, followed by a thorough analysis of the current wearable segment status and their prospects.

The report also examines patents from several key players in the wearables space to provide insights on future device announcements and launches.

Competitive Analysis & Business Models

The report provides expert analysis of the different stakeholders in the value chain, supported by exclusive case studies on selected players and their business strategies. A wide variety of vendors are also interviewed and profiled in this report, outlining their current position and future goals in the wearables market.

Smart Wearable Devices IFxl 2014-2019

Juniper Research's highly granular IFxls 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 both to understand a particular market and to integrate their own views into the model.

The Smart Wearable Devices IFxl contains 227 tables and over 24,000 Data Points, providing additional market data and country level breakdowns for the following key markets: Canada,

China, Germany, Japan, South Korea, UK and US.

Companies Referenced

Interviewed: APX Labs, Bluetooth SIG (Special Interest Group), Cambridge Consultants, Filip Technologies, Fitbit, Humana, Ineda Systems, Intel, Vuzix.

Profiled: Acer, Filip Technologies, Fitbit, Google, Jawbone, Lenovo, Pebble, Qardio, Recon Instruments, Samsung, Sony, Vuzix.

Case Studied: APX Labs, Bluetooth SIG (Special Interest Group), Cambridge Consultants, Freescale, Humana, Ineda Systems, Wireless Power Consortium.

Mentioned: A4WP (Alliance for Wireless Power), Accenture, Adidas, AI Technologies, AiQ, Amazon, Androidly Systems, Appirio, Apple, Archos, ARM, Artemis Fashion, Asus, AT&T, Atheer Lab, Atlas Wearables, Augmedix, Autodesk, Autographer, Avegant, Avery Dennison, Badger Gear, Baidu, Basis, Beacon & Lively, Beats, Best Buy, Biosensics, Biotronik, Biovotion, BlackBerry, BodyMedia, Bosch, BP, Broadcom, Carré Technologies, Clothing+, CNET, ConnecteDevice, Crowdfund Productions, CrowdOptic, CSR, CUFF, Cutecircuit, Danfoss Polypower, Dew Motion, Diffus, Disney, EmoPulse, Epson, Ericsson, E-TEN, Facebook, FashionTEQ, Fin, First Sign, Fitbug, Fossil Group, Garmin, Gateway, Geak, GfK, GlassUp, GoPro, Guardian Angel, GuideGo, Heapsylon, Hedcam, Hexoskin, House of Marley, HTC, Huawei, Hyetis, Hyginex, IFTTT, i'm Watch, IBM, i Got U, iHeath, Imagination, Indiegogo, Infobip, Innovega, Intel, Jaybird, Kickstarter, Kopin, Kreyos, Kynetics, LaForge OptInvent, LG, LifeTrak, Limmex, Looxcie, Lose It!, Lumus, MapMyFitness, Martian, Massive Health, Maxwell Health, McDonalds, MediaTek, MEMI, Mercedes-Benz, Meta, Micro-Optical, Microsoft, Mio, Misfit, MIT Fluid Interfaces Group, Momentum Labs, Moritz Waldemeyer, Moticon, Motorola, MyFitnessPal, MYWEAR, Narrative, Neil Forsyth Health & Fitness, Neptune, Nest, Netatmo, Nike, Nissan, Nokia, Notch.me, Oakely, Oculus, Ohmatex, Omate, OMsignal, One Good, Optical, Opti-Invent, OrCam, Orsto, Osterhout Design Group, Owlet Baby Care, Packard Bell, Panasonic, Panopticam, Parashoot, Pauline van Dongen, Pew Research Center, PH Technical Labs, Philips, Pivothead, Plastic Logic, PMA (Power Matters Alliance), Polar Electro, Proteus Digital Health, Qualcomm, Quintic, Rainbow Winters, Razer, Reading Rainbow, Rearden, Revolution Robotics, Ring, Ringblingz, Ringly, Rolex, RunKeeper, Runtastic, Salesforce, Secret Labs, Sleepio, Smarty Ring, Sonostar, Speedup Technology, Sproutling, SSI (Survey Sampling International), Starbucks, Stretchsense, Synapse Product Development, Target, Technical Illusions, Techsplash, Telefonica, Time Warner, Timex, TomTom, Tory Burch, Toshiba, Trek Bicycle, Trustedreviews.com, Under Armour, Vachen, Vea Buddy, Vergence Labs, Vicon Motion Systems, Viking, Visere, Vybe Smartband, Watchson, Wearable Intelligence, Wearing Digital, Weartech, Wellograph, WeOn Glasses, WiMe, WIMM Labs, Withings, Xanomi, Xiaomi, XOEye, Xtrinsic, Yelp, Yulong, Zeal Optics, ZTE.

Extra Info

♦8 Key Regions include: North America; Latin America; Western Europe; Central & Eastern Europe; Far East & China; Indian Subcontinent; Rest of Asia Pacific and Africa & Middle East.

Key Questions

  • 1. What new developments have there been in the market and how best can they be leveraged
  • 2. What is driving the market forward
  • 3. What are the main obstacles to widespread wearable technology adoption
  • 4. Which segment is leading market growth
  • 5. Where are the best revenue opportunities for wearable devices over the next five years
  • 6. What new business models are emerging for wearable devices
  • 7. Who are the main players in the wearables space
  • 8. What kinds of wearable devices will be developed in the near future

Table of Contents

Executive Summary

1. Mobile Computing and Wearables

  • 1.1 Introduction
  • 1.2 Defining Wearable Devices
    • Figure 1.1: Wearable Device Framework
    • Figure 1.2: Smart Wireless Accessories and Smart Wearables Overlap
    • Figure 1.3: Smart Wearable Device Properties
    • 1.2.1 Components & Properties of a Wearable Device
    • Figure 1.4: Wearable Device Components
    • 1.2.2 Wearable Device Market Segments
    • Figure 1.5: Smart Wearable Device Categories
  • 1.3 Wearables Market Drivers
    • Figure 1.6: Wearables Market Drivers
    • Figure 1.7: Smartphone Penetration in Western Europe US 2014 and 2019
  • 1.4 Wearables Market Barriers
    • Figure 1.8: Barriers to Deployment
    • Figure 1.9: 'Admented Reality' Video Google Glass Parody
    • Figure 1.10: Data Privacy Trade-offs

2. Smart Wearables Market Dynamics

  • 2.1 Introduction
  • 2.2 Market Developments
    • 2.2.1 Autonomous(ish) and Open Source Production
    • 2.2.2 Branded Device Ecosystems
    • Figure 2.1: Android Version Distribution July 2014 (%)
    • Table 2.1: Android Version Distribution July 2014 (%)
    • 2.2.3 The Crowd Funded Long Tail
  • 2.3 Market Outlook
    • 2.3.1 Smart Watches
    • Figure 2.2: Polar's Fitness-focused V800 Smartwatch
      • i. Juniper's View:
    • 2.3.2 Smart Glasses
    • Table 2.2: HUD and AR Smart Glasses Features
    • Figure 2.3: Epson Moverio BT-200 smart glasses
      • i. Consumer Market
      • Figure 2.4: PivotHead SMART Series glasses
      • ii. Enterprise Market
      • Figure 2.5: Google Glass Scanning Use Case
      • iii. Juniper's View:
    • 2.3.3 Healthcare & Fitness Wearables
      • i. Fitness Wearables
        • a. Consumer-Driven Adoption
        • b. Enterprise-Driven Adoption
      • ii. Healthcare Wearables
      • Figure 2.6: iHealth's Wearable Pulse Oximeter System
      • iii. Healthcare & Fitness Clothing
      • Figure 2.7: Hexoskin's Connected T-Shirt Capabilities
      • iv: Juniper's View:
    • 2.3.4 Multimedia Wearables
      • i. Wearable Cameras
      • ii. AR Headsets
      • iii. Juniper's View:
      • Figure 2.8: 360° Panopticam
    • 2.3.5 Lifestyle Wearables
      • i. Smart Jewellery
      • Figure 2.9: Guardian Angel Wearable Personal Safety Accessory
      • ii. Smart Clothing
      • iii. Juniper's View:
    • 2.3.6 Military Wearables
  • 2.4 Smart Wearables Patents and Prototypes
    • 2.4.1 Samsung's Patents
      • i. Smart Bangle
      • Figure 2.10: Samsung Bangle
      • Figure 2.11: Squash-Powered Samsung Bangle
      • ii. Versatile Circular Face Watch
      • Figure 2.12: Samsung Versatile Round Face Device
      • Figure 2.13: Round-face Watch Design
      • iii. Samsung Gear Blink
      • Figure 2.14: Samsung Gear Blink
    • 2.4.2 Apple's Patents
      • i. Smart Watch Patents
      • Figure 2.15: Apple's Flexible Printed Circuit Cable Patent
      • Figure 2.16: iWatch Rumour Concept Art
      • ii. Health Monitoring Headphones
      • Figure 2.17: Apple's Headset Patent Designs
    • 2.4.3 Nokia's Patents
      • i. Near-to-Eye Display Smart Glasses
      • Figure 2.18: Nokia's Near-to-Eye Display smart glasses
    • 2.4.4 LG's patents
      • i. Smart watch-stylus hybrid
      • Figure 2.19: LG's Smart watch-Stylus
    • 2.4.5 Microsoft's Patents
      • i. Microsoft's Smart Glasses and Watches
      • Figure 2.20: Microsoft's Smart Glasses Patent
      • Figure 2.21: Smart Glasses Usage with a Paired Device
  • 2.5 Wearables Market Strategies
    • 2.5.1 Smart Watches
      • i. Segment Definition Strategies
        • a. Ecosystem-centric
        • b. OS-centric
      • ii. Increased Adoption Strategies
        • a. Bundling
        • b. Leading with Smartphone Apps
        • c. Optionally Smart Fashion
    • 2.5.2 Smart Glasses
    • 2.5.3 Healthcare Wearables
    • 2.5.4 Activity Trackers
      • i. Segmentation Strategy
      • Table 2.4: Sample Activity Tracker Use Case and Metrics Segmentation
      • ii. Brand Equity and Partnership Impacts
      • iii. Data Curation
        • a. Institutional Curation
        • b. Individual Curation
    • 2.5.4 Lifestyle Wearables
      • i. Wearable Cameras
      • ii. Connected Jewellery
      • Figure 2.23: Cuff Jewellery Range
      • iii. Connected Clothing

3. Smart Wearables Ecosystem

  • 3.1 The Wearables Market
    • Figure 3.1: The Wearable Device Ecosystem
  • 3.2 Device Ecosystem & Stakeholder Opportunities
    • Figure 3.2: Elements of the Wearable Device Value Chain
    • 3.2.1 Wireless Connectivity Providers - MNOs & Technology Providers
    • Table 3.1: Connectivity Technology Comparison: Smart Peripherals vs Smart Home Networking
      • i. Case Study: Bluetooth SIG
        • a. Background
        • b. Strategic Directives
      • ii. Case Study: Qi
    • 3.2.2 Chipset and Module Manufacturers
      • i. Case Study: Freescale's WaRP (Wearable Reference Platform) board
        • a. Background
        • Figure 3.3: WaRP platform architecture schematic
        • b. Product Specification
        • c. Juniper's View:
      • ii. Case Study: Ineda Systems' WPU (Wearable Processing Units)
        • a. Background and Vision
        • b. Product Specifications
        • Table 3.2: Ineda's Hierarchical CPU Computing Applications
        • c. Business Development and Future Direction
    • 3.2.3 Device Hardware Vendors and Consumer Brands
    • 3.2.4 Crowd funding Platforms
  • 3.3 Smart Wearables: Business Opportunities & Sales Channel
    • 3.3.1 Wearables Service Models
    • Figure 3.5: Wearable Device Consumer Revenue Models
    • Table 3.3: Smart Wearable Device Business Models
      • i. Case Study: APX Labs
        • a. Background and Vision
        • b. Product and Strategic Directives
      • ii. Case Study: Cambridge Consultants
        • a. Background and Development
        • b. Business Model and Services
    • 3.3.2 The Sales Channel
      • i. Device and Handset Vendors
      • ii. Brands
      • iii. Retailers
      • iv. Network Operators
      • v. Service Providers
        • a. Case Study: Humana Vitality

4. Smart Wearables Forecast Summary

  • 4.1 Introduction & Methodology
    • 4.1.1 Forecast Steps
      • i. Analysis of the Current Market
      • ii. Smartphone Penetration
    • 4.1.2 Methodology for Shipments, Installed Base and Market Value of Smart Wearable Devices
    • Figure 4.1: Smart Wearable Device Market Forecast Methodology
      • i. Consumer Segment Scenarios
  • 4.2 Summary Forecasts: Smart Wearables Market
    • 4.2.1 Incremental Innovation Growth Scenario
      • i. Devices in Use and Shipments Forecasts
      • Figure 4.2 & Table 4.1: Global Number of Smart Wearable Devices in Use per Annum (m), Incremental Innovation Scenario, Split by Device Category 2014-2019
      • Figure 4.3 & Table 4.2: Global Number of Smart Wearable Devices Shipped per Annum (m), Incremental Innovation Scenario, Split by Device Category 2014-2019
      • ii. Device Revenue Forecast
      • Figure 4.4 & Table 4.3: Global Smart Wearable Device Revenue ($m), Incremental Innovation Scenario, Split by Device Category 2014-2019
    • 4.2.2 Early Exposure Growth Scenario
      • i. Devices in Use and Shipments Forecasts
      • Figure 4.5 & Table 4.4: Global Number of Smart Wearable Devices in Use per Annum (m), Early Exposure Scenario, Split by Device Category 2014-2019
      • Figure 4.6 & Table 4.5: Global Number of Smart Wearable Devices Shipped per Annum (m) Early Exposure Scenario, Split by Device Category 2014-2019
      • ii. Device Revenue Forecast
      • Figure 4.7 & Table 4.6: Global Smart Wearable Device Revenue ($m) Early Exposure Scenario, Split by Device Category 2014-2019
    • 4.2.3 Key Case Growth Scenario
      • i. Devices in Use and Shipments Forecasts
      • Figure 4.8 & Table 4.7: Global Number of Smart Wearable Devices in Use per Annum (m), Key Case Scenario, Split by Device Category 2014-2019
      • Figure 4.9 & Table 4.8: Global Number of Smart Wearable Devices Shipped per Annum (m), Key Case Scenario, Split by Device Category 2014-2019
      • ii. Device Revenue Forecast
      • Figure 4.9 & Table 4.8: Global Smart Wearable Device Revenue ($m), Key Case Scenario, Split by Device Category 2014-2019

5. CE Smart Wearables Forecasts

  • 5.1 Introduction & Methodology
    • 5.1.1 CE Smart Wearables Market Forecast Methodology
    • Figure 5.1: CE Smart Wearables Forecast Methodology
  • 5.2 Global CE Wearable Device Market
    • 5.2.1 CE Smart Wearable Device Forecast Summary: In Use & Shipments
      • i. Incremental Innovation Scenario
      • Figure 5.2 & Table 5.1: Global Number of CE Smart Wearable Devices in Use per Annum (m), Incremental Innovation, Split by 8 Key Regions 2014-2019
      • Figure 5.3 & Table 5.2: Global Number of CE Smart Wearable Devices Shipped per Annum (m), Incremental Innovation, Split by 8 Key Regions, 2014-2019
      • ii. Early Exposure Scenario
      • Figure 5.4 & Table 5.3: Global Number of CE Smart Wearable Devices in Use per Annum (m) Early Exposure, Split by 8 Key Regions 2014-2019
      • Figure 5.5 & Table 5.4: Global Number of CE Smart Wearable Devices Shipped per Annum (m), Early Exposure, Split by 8 Key Regions 2014-2019
      • iii. Key Case Scenario
      • Figure 5.6 & Table 5.5: Global Number of CE Smart Wearable Devices in Use per Annum (m) Key Case, Split by 8 Key Regions 2014-2019
      • Figure 5.7 & Table 5.6: Global Number of CE Smart Wearable Devices Shipped per Annum (m), Key Case, Split by 8 Key Regions 2014-2019
    • 5.2.1 CE Smart Wearables Revenue Forecast Summary
      • i. Incremental Innovation Scenario
      • Figure 5.8 & Table 5.7: Global CE Smart Wearable Hardware Revenue per Annum ($m), Incremental Innovation, Split by 8 Key Regions 2014-2019
      • ii. Early Exposure Scenario
      • Figure 5.9 & Table 5.8: Global CE Smart Wearable Hardware Revenue per Annum ($m), Early Exposure, Split by 8 Key Regions 2014-2019
      • iii. Key Case Scenario
      • Figure 5.10 & Table 5.9: Global CE Smart Wearable Hardware Revenue per Annum ($m), Key Case, Split by 8 Key Regions 2014-2019
  • 5.3 Sports & Fitness Wearable Forecasts
    • 5.3.1 Sports & Fitness Wearable Device Forecasts: In Use & Shipments
      • i. Early Exposure Scenario
      • Figure 5.11 & Table 5.10: Global Number of Sports & Fitness Smart Wearables in Use per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • Figure 5.12 & Table 5.11: Global Number of Sports & Fitness Smart Wearables Shipped per Annum (m) Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • iii. Scenario Comparisons
        • a. Fitness Wearables in Use
        • Figure 5.13 & Table 5.12: Scenario Comparison of Global Sports & Fitness Smart Wearables In Use (m) 2014-2019
        • b. Fitness Wearables Shipments
        • Figure 5.14 & Table 5.13: Scenario Comparison of Global Sports & Fitness Smart Wearables Shipments (m) 2014-2019
    • 5.3.2 Sports & Fitness Smart Wearables Device Revenue Forecasts
      • i. Early Exposure Scenario
      • Figure 5.15 & Table 5.14: Global Sports & Fitness Smart Wearable Hardware Revenue per Annum ($m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.16 & Table 5.15: Scenario Comparison of Global Sports & Fitness Smart Wearables Hardware Revenue (m) 2014-2019
    • 5.3.3 Sports & Fitness Smart Wearables Service Revenue Forecasts
      • i. Early Exposure Scenario
      • Figure 5.17 & Table 5.16: Global Sports & Fitness Smart Wearable Service Revenue per Annum ($m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.18 & Table 5.17: Scenario Comparison of Global Sports & Fitness Smart Wearables Service Revenues (m) 2014-2019
  • 5.4 Multimedia & Entertainment Wearable Forecasts
    • 5.4.1 Multimedia & Entertainment Wearable Device Forecasts: In Use & Shipments
      • i. Early Exposure Scenario
      • Figure 5.19 & Table 5.18: Global Number of Multimedia & Entertainment Smart Wearables in Use per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • Figure 5.20 & Table 5.19: Global Number of Multimedia & Entertainment Smart Wearables Shipped per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.21 & Table 5.20: Scenario Comparison of Multimedia & Entertainment Smart Wearables in Use per Annum (m) 2014-2019
      • Figure 5.22 & Table 5.21: Scenario Comparison of Multimedia & Entertainment Smart Wearables Shipped per Annum (m) 2014-2019
    • 5.4.2 Multimedia & Entertainment Wearables Revenue Forecasts
      • i. Early Exposure Scenario
      • Figure 5.23 & Table 5.22: Global Multimedia & Entertainment Smart Wearable Hardware Revenue per Annum ($m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.24 & Table 5.23: Scenario Comparison of Multimedia & Entertainment Smart Wearables Revenue per Annum ($m) 2014-2019
  • 5.5 Smart Watches Wearable Forecasts
    • 5.5.1 Smart Watches Device Forecasts: In Use & Shipments
      • i. Early Exposure Scenario
      • Figure 5.25 & Table 5.24: Global Number of Smart Watches in Use per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • Figure 5.26 & Table 5.25: Global Number of Smart Watches Shipped per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.27 & Table 5.26: Scenario Comparison of Smart Watches in Use per Annum (m) 2014-2019
      • Figure 5.28 & Table 5.27: Scenario Comparison of Smart Watch Shipments per Annum (m) 2014-2019
    • 5.5.2 Smart Watch Revenue Forecasts
      • i. Early Exposure Scenario
      • Figure 5.29 & Table 5.28: Global Smart Watch Hardware Revenue per Annum ($m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.30 & Table 5.29: Scenario Comparison of Smart Watch Revenue per Annum (m) 2014-2019
  • 5.6 CE Smart Glasses Wearable Forecasts
    • 5.6.1 CE Smart Glasses Device Forecasts: In Use & Shipments
      • i. Early Exposure Scenario
      • Figure 5.31 & Table 5.30: Global Number of CE Smart Glasses in Use per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • Figure 5.32 & Table 5.31: Global Number of CE Smart Glasses Shipped per Annum (m), Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Other Scenarios
      • Figure 5.33 & Table 5.32: Scenario Comparison of CE Smart Glasses in Use per Annum (m) 2014-2019
      • Figure 5.34 & Table 5.33: Scenario Comparison of CE Smart Glasses Shipped per Annum (m) 2014-2019
    • 5.6.2 CE Smart Glasses Revenue Forecasts
      • i. Early Exposure Scenario
      • Figure 5.35 & Table 5.34: Global CE Smart Glasses Device Revenue per Annum ($m) Early Exposure Scenario, Split by 8 Key Regions 2014-2019
      • ii. Scenario Comparisons
      • Figure 5.36 & Table 5.35: Scenario Comparison of CE Smart Glasses Device Revenue per Annum ($m) 2014-2019
  • 5.7 Lifestyle Wearables
    • 5.7.1 Jewellery-based Wearables Market Forecasts
    • Figure 5.37 & Table 5.36: Jewellery-based Wearables in Use per Annum (m) Split by 8 Key Regions 2014-2019
    • Figure 5.38 & Table 5.37: Jewellery-based Wearables Shipped per Annum (m) Split by 8 Key Regions 2014-2019
    • Table 5.38: Smart Jewellery Wearables Brands and Pricing
    • Figure 5.39 & Table 5.39: Jewellery-based Wearables Revenue per Annum (m) Split by 8 Key Regions 2014-2019
    • 5.7.2 Clothing-based Wearables Market Forecasts
    • Figure 5.40 & Table 5.40: Clothing-based Wearables in Use per Annum (m) Split by 8 Key Regions 2014-2019
    • Figure 5.41 & Table 5.41: Clothing-based Wearables Shipped per Annum (m) Split by 8 Key Regions 2014-2019
    • Figure 5.42 & Table 5.42: Clothing-based Wearables Revenue per Annum (m) Split by 8 Key Regions 2014-2019

6. Enterprise & Industrial Smart Wearables Market Forecasts

  • 6.1 Methodology Discussion
    • Figure 6.1: Enterprise & Industrial Smart Wearables Forecast Methodology
  • 6.2 Enterprise & Industrial Smart Wearable Market Forecasts
    • 6.2.1 Enterprise & Industrial Smart Wearable Device Forecasts: In Use & Shipments
    • Figure 6.2 & Table 6.1: Enterprise & Industrial Smart Wearables in Use per Annum (m) Split by 8 Key Regions 2014-2019
    • Figure 6.3 & Table 6.2: Enterprise & Industrial Smart Wearables Shipped per Annum (m) Split by 8 Key Regions 2014-2019
    • 6.2.2 Enterprise & Industrial Smart Wearable Revenue Forecasts
    • Figure 6.4 & Table 6.3: Enterprise & Industrial Smart Wearable Hardware Revenue per Annum ($m) Split by 8 Key Regions, 2014-2019

7. Healthcare Smart Wearables Market Forecasts

  • 7.1 Methodology Discussion
    • 7.1.2 Forecast Methodology
    • Figure 7.1: Healthcare Smart Wearables Forecast Methodology
  • 7.2 Healthcare Smart Wearable Market Forecasts
    • 7.2.1 Healthcare Smart Wearable Device Forecasts: In Use & Shipments
    • Figure 7.2 & Table 7.1: Healthcare Smart Wearables in Use per Annum (m) Split by 8 Key Regions 2014-2019
    • Figure 7.3 & Table 7.2: Healthcare Smart Wearables Shipped per Annum (m) Split by 8 Key Regions 2014-2019
    • 7.2.2 Healthcare Smart Wearable Revenue Forecasts
      • i. Device Revenue
      • Figure 7.4 & Table 7.3: Healthcare Smart Wearables Hardware Revenue per Annum ($m) Split by 8 Key Regions 2014-2019
      • ii. Service Revenue
      • Figure 7.5 & Table 7.4: Healthcare Smart Wearables Service Revenue per Annum ($m) Split by 8 Key Regions 2014-2019

8. Vendor Analysis & Matrix

  • 8.1 Introduction
  • 8.2 Vendor Positioning
    • 8.2.1 Vendor Assessment Methodology
    • Table 8.1: Vendor Capability Assessment Criteria
    • 8.2.2 Limitations and Interpretation
    • 8.2.3 New Positioning Matrix Results
    • Figure 8.1: Global Smart Wearable Device Player Positioning Matrix
    • 8.2.4 Vendor Groupings
      • i. The A2 Group
      • ii. The A3 Group
      • iii. The B1 Group
      • iv. The B2 Group
      • v. The B3 Group
    • 8.2.5 Strategy Conclusions
  • 8.3 Player Profiles
    • 8.3.1 Acer
    • Figure 8.2: Acer Liquid Leap
    • 8.3.2 Filip Technologies
    • Figure 8.3: The Filip smart locator app
    • 8.3.3 Fitbit
    • Figure 8.4: Fitbit Premium Benchmarking Analytics
    • Figure 8.5: Fitbit Corporate partners
    • 8.3.4 Google
    • Table 8.2: Android Wear Watch Hardware Comparison
    • 8.3.5 Jawbone
    • 8.3.6 Lenovo
    • Figure 8.6: Lenovo's smart glasses prototype
    • 8.3.7 Pebble
    • Figure 8.7: Pebble Watch and the Pebble Steel
    • 8.3.8 Qardio
    • Figure 8.8: QardioCore Chest Strap
    • Figure 8.9: QardioArm and iPhone App
    • 8.3.9 Recon Instruments
    • Figure 8.10: Recon Jet Smart Glasses
    • Figure 8.11: Recon Instruments Partners
    • 8.3.10 Samsung
    • Figure 12: The Samsung Gear 2, Gear Fit and Gear 2 Neo
    • 8.3.11 Sony Mobile
    • Figure 8.13: Sony's LifeLog Camera model at MWC 2014
      • iv. Juniper's View: Sony Mobile's Key Strengths and Strategic Development Opportunities
    • 8.3.12 Vuzix
    • Figure 8.14: Vuzix M100 smart glasse
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  • Published:
  • Aug 21, 2014
  • USD 1350
  • 13 Pages, Statistics Report

* mHealth Wellness Wearable Devices 2014 - Forecast Database: Activity Trackers, Sports Watches, Heart Rate Monitors, Smart Sports Clothing, Connected Weighing Scales & Other Consumer Wellness Devices
  • Published:
  • Aug 14, 2014
  • USD 2500
  • 24 Tables, 38 Charts

* mHealth Wellness Wearable Devices 2014 - Market Study: Activity Trackers, Sports Watches, Heart Rate Monitors, Smart Sports Clothing, Connected Weighing Scales & Other Consumer Wellness Devices
  • Published:
  • Aug 14, 2014
  • USD 2500
  • 72 Pages

* mHealth Wellness Wearable Devices 2014 - Product & Technology Database: Activity Trackers, Sports Watches, Heart Rate Monitors, Smart Sports Clothing, Connected Weighing Scales & Other Consumer Wellness Devices
  • Published:
  • Aug 14, 2014
  • USD 2500
  • 370+ Products

* The Wearable Technology Ecosystem: 2014 - 2020 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts
  • Published:
  • Aug 08, 2014
  • USD 2500
  • 383 Pages

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