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Wearable Technology in Sports and Fitness, Healthcare, and Clothing: Market Outlook and Forecasts 2015 – 2020

Wearable Technology in Sports and Fitness, Healthcare, and Clothing: Market Outlook and Forecasts 2015 – 2020

Sports, Fitness, Healthcare, and Clothing are emerging as key industries for the early market success of wearable technology. Mind Commerce sees wearables in Sports and Fitness alone reaching $9.4 billion globally by 2020 with a CAGR of 103%. Wearable devices within these market segments typically represent an accessory that provides the user with information in support of various applications and/or personal services. For example, some wearables in healthcare help in monitoring blood pressure levels, heartbeat, body temperature and similar other evolving features.

Wearables within these industries are also a key part of the Personal Internet of Things (PIoT) as they gather important data about personal habits, lifestyle, and physical attributes. PIoT data may be used for a variety of purposes including marketing for the respective industries as well as leveraged by various third parties. Mind Commerce sees wearables in these industries as a very important component of the emerging PIoT.

This report evaluates the market for wearables in Sports and Fitness, Healthcare, and Clothing industries. This evaluation includes an assessment of technologies necessary for personal area networks including the very personal “Body Area Network” (BAN). The report assesses companies and solutions and provides forecasts for the period of 2015 – 2020.

The report also includes analysis of wearables, IoT, and Big Data as the latter will represent a significant opportunity as vast amounts of data is generated from wearable devices in these industries. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

Data and analytics companies
Sports and fitness companies
Internet of Things companies
Wireless device manufacturers
Healthcare technology suppliers
Wireless infrastructure providers
Consumer electronics companies
Wearable technology developers
Embedded computing companies
Clothing and accessories providers
Regulatory bodies and governments
Wireless service providers of all types

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1 Introduction
1.1 Scope of Study
1.2 Intended Audience
1.2.1 Companies Mentioned in the Report
2 Executive Summary
3 Overview
3.1 Background
3.2 Fundamentals of Functioning of Wearable in Defined Markets
3.2.1 Wireless Body Area Network (WBAN)
3.2.1.1 Current BAN Applications in the Healthcare Industry
3.2.2 BAN Challenges
3.2.2.1.1 Security in BAN
3.2.2.1.2 Privacy in BAN
3.2.2.1.3 Power Complexity in BAN
3.2.2.1.4 FCC Regulations for using BAN
3.3 Body Sensors or Wearable Sensors
3.4 Connectivity
3.4.1 Bluetooth Low Energy (BLE)
3.4.2 Wi-Fi
3.4.3 Li-Fi
3.4.4 Integration with Mobile Devices
3.5 Wearables, Big Data, and Personal IoT (PIoT)
3.5.1 Big Data and PIoT
3.5.2 Case Example: PIoT and the Professional Sports Ecosystem
4 Wearables in Sports and Fitness
4.1 Wearables in Sports and Fitness
4.2 Key Wearables in Sports and Fitness
4.2.1 Treadmill Visual Effects
4.2.1.1 Technology
4.2.2 Tracking Tennis Techniques
4.2.3 Smart Running Socks
4.2.4 Nike Barefoot Running Stickers
4.3 Player Tracking Wearables
4.3.1 Head Impact Indicators
4.3.2 Wearables in Footwear
4.3.3 Activity Wrist Bands
4.4 Referees Monitoring Systems
4.5 Case Studies on Wearables in Sports and Fitness
4.6 Case Study: Current Wearable Devices Analysis
4.6.1 Bluetooth Wrist Bands
4.6.2 Running and Health Monitor Devices
4.6.3 Wrist Watches
5 Wearables in Healthcare Industry
5.1 Wearable Healthcare Technologies
5.2 Wearables Solutions in Healthcare
5.2.1 Heart Rate Monitors
5.2.2 Wrist Watch Healthcare Applications
5.2.3 Healthcare and E-Textiles
5.3 Wearables Driven Healthcare Data
6 Wearables in Clothing Industry
6.1 Wearable Tech and Fashion
6.2 Wearable Tech and Usability in Clothing
6.3 Wearable Applications in Clothing
6.3.1 Fabric Design
6.3.2 Wearable Electronics
6.3.3 Soft Switches Integrated into Clothing
6.3.4 Fabric based Touch Sensing Solutions
6.3.5 Lighting Systems
6.3.6 Hoodie Headphones
6.3.7 Body Heat Temperature Monitoring Clothing
6.3.7.1 System Component
6.3.8 Changing-Color Lighting Clothing
6.3.8.1 Scarfs
6.3.8.2 Ties
6.3.9 Speed-Meter Displays Clothing
7 Global Markets for Wearable Technology 2015 - 2020
7.1 Markets for Wearables in IoT 2015 – 2020
7.2 Global Markets by Market Segment 2015 – 2020
8 Vendor Profiles
8.1 Abbott Laboratories
8.1.1 FreeStyle Lite Glucose meter
8.1.2 Precision Xceed Pro Blood Glucose & β–Ketone Monitoring System
8.1.3 FreeStyle CoPilot Health Management System
8.2 AcousticSheep
8.3 Adidas
8.3.1 Micoach mobile
8.3.2 miCoach X_CELL
8.3.3 MICOACH SPEED_CELL
8.3.4 MICOACH Smart Run
8.3.5 Heart Rate Monitor
8.3.6 MICOACH PACER
8.4 AiQ
8.4.1 BioMan
8.4.2 NeonMan
8.4.3 ThermoMan
8.5 Athos (MAD APPAREL, INC.)
8.6 Beddit
8.7 Clothing+
8.8 CoolShirt Systems
8.9 CuteCircuits
8.9.1 Kinetic Dress
8.9.2 M Dress
8.9.3 Galaxy Dress
8.9.4 T-shirtOS
8.10 Epson America Inc.
8.11 Fitbit
8.11.1 Fitbit Tracker
8.11.2 Fitbit Zip
8.11.3 Fitbit Ultra
8.11.4 Fitbit Force
8.12 Jawbone
8.13 Mio Global (Wearable Technology)
8.13.1 Mio Alpha
8.13.2 Mio Link
8.14 Moov Inc.
8.15 Neurosky
8.15.1 MindWave
8.16 Nike
8.16.1 Nike Fuel Band
8.17 OMsignal
8.17.1 OM Signal Shirt
8.18 Textronics
8.18.1 Textro-Sensors
8.19 Zephyr Technology
8.19.1 ZephyrLIFE
Figures
Figure 1: Alternative Intensive Care On-the-Go
Figure 2: Big Data Anatomy
Figure 3: Treadmill with Goggles
Figure 4: Nike Barefoot Running Stickers
Figure 5: Early Wearable Devices
Figure 6: Player Monitoring Systems
Figure 7: CheckLight from Rebook and MC10
Figure 8: Fibit Flex Bluetooth Wrist Band
Figure 9: Neptune Pine Smart Watch
Figure 10: Hybrid System Architecture
Figure 11: Soft Switching in Clothing
Figure 12: Bags with Music Players Control Switches
Figure 13: Levis RedWire
Figure 14: LED Lighting into Clothing
Figure 15: Hoodiebuddie Headphones
Figure 16: Body Temperature Sensors with Displays
Figure 17: Lighting Scarfs
Figure 18: Ties with LED Lighting
Figure 19: Speed-sensor Vest
Figure 20: Global Markets for Wearables 2015 - 2020 ($Millions)
Figure 21: Wearables by Market Segment 2015 – 2020 ($ Millions)
Figure 22: Regional Markets for Wearables in Sports and Fitness 2015 – 2020 ($ Millions)
Figure 23: Regional Markets for Wearables in Healthcare 2015 – 2020 ($ Millions)
Figure 24: Regional Markets for Wearables in Clothing 2015 – 2020 ($ Millions)
Figure 25: Acoustic Sheep Sleep Phones
Figure 26: Adidas miCoach X_CELL
Figure 27: MICOCH SPEED_CELL
Figure 28: Adidas MiCoach Smart Run Watch
Figure 29: Micoach HRM attached to User’s Chest
Figure 30: MICOACH PACER
Figure 31: BioMan Shirt from AiQ
Figure 32: The Kinetic Dress
Figure 33: The M Dress
Figure 34: The Galaxy Dress
Figure 35: T-ShirtOS
Figure 36: Fitbit Tracker
Figure 37: Fitbit ZIP
Figure 38: Fitbit Force
Figure 39: Mio Alpha: Heart Rate Monitoring Watch
Figure 40: Mio Link Synchronizes with the MioGo Smartphone App
Figure 41: Moov Now from Moov Inc.
Figure 42: MindWave
Figure 43: Nike FuelBand
Figure 44: ZephyrLIFE
Tables
Table 1: Global markets from Wearables 2015 - 2020 ($Millions)
Table 2: Wearables by Market Segment 2015 – 2020 ($ Millions)
Table 3: Regional Markets for Wearables in Sports and Fitness 2015 – 2020 ($ Millions)
Table 4: Regional Markets for Wearables in Healthcare 2015 – 2020 ($ Millions)
Table 5: Regional Markets for Wearables in Clothing 2015 – 2020 ($ Millions)

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