Welcome!

Mobile IoT Authors: Liz McMillan, Zakia Bouachraoui, Elizabeth White, Yeshim Deniz, Dana Gardner

News Feed Item

Research and Markets: The Wearable Technology Ecosystem: 2014-2020 - Opportunities, Strategies, and Forecasts - Shipments to Account for $57 Billion in Revenue by 2020

Research and Markets (http://www.researchandmarkets.com/research/kd2bph/the_wearable) has announced the addition of Signals and Systems Telecom's new report "The Wearable Technology Ecosystem: 2014 - 2020 - Opportunities, Challenges, Strategies, Industry Verticals and Forecasts" to their offering.

While wearable technology has been utilized in vertical sectors such as the military and healthcare for many years, ongoing advances have triggered a major resurgence of the concept, particularly among the consumer community.

Key enabling technologies including low cost sensors, wireless connectivity, active materials and energy have converged to make wearable technology mainstream. With the continued miniaturization of enabling technologies, wearable devices have hit the mass market in a diverse variety of form factors, ranging from glasses to even jewelry.

Driven by the ability to interconnect with key modern trends of healthcare, fitness, messaging and socialization, the wearable technology ecosystem is attracting significant levels of interest. Companies as varied as smartphone OEMs, wireless carriers, health insurers and retailers are circling the ecosystem alongside tiny startups, all vying for a stake.

SNS Research estimates that by 2015, wearable devices shipments will surpass 90 Million and will account for nearly $20 Billion in revenue. The market is further expected to grow at a CAGR of nearly 40% over the next six years. By the end of 2020, wearable device shipments will surpass 340 Million and account for nearly $57 Billion in revenue.

The report presents an in-depth assessment of the wearable technology ecosystem including key market drivers, challenges, investment potential, consumer & vertical market opportunities, use cases, future roadmap, value chain, case studies, vendor market share and strategies. The report also presents forecasts for wearable device shipments and revenue from 2014 through to 2020. The forecasts are further segmented for 7 device form factor submarkets, 6 vertical markets, 6 regions and 73 countries.

Topics Covered

  • Wearable technology ecosystem
  • Market drivers and barriers
  • Enabling technology for wearable devices
  • Prospects of standardization and regulation for wearable technology
  • Wearable technology industry roadmap and value chain
  • Assessment of vertical market opportunities and use cases for consumer, healthcare, retail & hospitality, military, public safety and 8 other verticals
  • Case studies of wearable technology deployments
  • Company profiles and strategies of 276 wearable technology ecosystem players
  • Wearable device vendor market share
  • Prospects of smartphone OEMs in the wearable technology ecosystem
  • LTE Direct and its impact on wearable technology
  • Strategic recommendations for enabling technology providers, wearable device OEMs, vertical market players, application developers and wireless carriers

Historical Revenue & Forecast Segmentation

  • Wearable device shipments and revenue
  • Wearable application ecosystem revenue
  • Wearable driven wireless carrier service revenue

Vertical Submarkets

  • Consumer
  • Healthcare
  • Retail & Hospitality
  • Military
  • Public Safety

Form Factor Submarkets

  • Smart Bands
  • Smart Watches
  • Smart Glasses
  • Smart Clothing
  • Smart Jewelry
  • Heads-up Displays

Key Topics Covered:

Chapter 1: Introduction

Chapter 2: An Overview of Wearable Technology

Chapter 3: Vertical Opportunities & Use Cases

Chapter 4: Industry Roadmap & Value Chain

Chapter 5: Market Analysis & Forecasts

Chapter 6: Key Market Players

For more information visit http://www.researchandmarkets.com/research/kd2bph/the_wearable

Source: Signals and Systems Telecom

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...