DALLAS, July 24, 2014 /PRNewswire-iReach/ -- Wireless Sensor Network Market Shares, Strategy, and Forecasts, Worldwide, 2013 to 2019 study has 640 pages, 266 tables and figures. Worldwide markets are poised to achieve significant growth as the Wireless Sensor Network is used to implement the Internet of things.
Energy harvesting technology combined with solid state batteries power an increasing number of consumer and industrial products that are untethered or need to become disconnected from electrical outlets. The wireless sensor networks market at $552.4 million in 2012 will become very big, very fast reaching $14.6 billion by 2019. Market growth is dependent on emerging technology.
Wireless Sensor Networks Company Profiles: ABB, Adaptive Materials Technology - Adaptamat Ltd, Alphabet Energy, Arrow Electronics, Australian Defence Science & Technology Organisation (DSTO), Arveni, Avnet, BAE Systems, Boeing, BYD, CST, Cymbet, Digi International, Dust Networks, EnOcean GmbH, Finmeccanica, Flexible Electronics Concepts, Ferro Solutions, Fraunhofer Institute for Integrated Circuits IIS, General Electric Company, GMZ, Honeywell, Infinite Power Solutions, Inventec, IO, ITN Lithium Technology, II-VI incorporated / Marlow Industries, JonDeTech, KCF Technologies Inc, Kelk, Levant Power, MacSema, Microchip Technology, MicroGen Systems, Micropelt, Millennial Net, National Instruments, Nature Technology, Nextreme, Northrop Grumman, OMRON, Perpetua, Perpetuum, Phononic Devices, Primus Power, PS, Schneider Electric, Severn Water / Modern Water / Cymtox Limited, Silicon Labs, Teledyne / Rockwell Scientific, Texas Instruments (TXN:NYSE), Trophos Energy, University of Michigan, Vishay Precision Group, Zarlink Semiconductor AB and Selected Energy Harvesting Market Participants.
Advanced technologies for wireless sensor networks are associated with energy harvesting and thin film batteries. Emerging wireless sensor networking is based on leveraging the feasibility of making sensors work independently in groups to accomplish insight not otherwise available. Advanced storage devices are emerging simultaneously with the energy harvesting devices that are economical, making sensor networks feasible. Storage devices can leverage the power captured by energy harvesting when sensors and devices are interconnected as a network. Energy storage technologies of super-capacitors and thin-film batteries with cost-effective market presence are set to power wireless sensor networking.
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Energy harvesting devices have attained workable levels of efficiency. There are significant cost reductions for wireless sensor networking that have been accomplished in the past few years. Many applications are related to smarter computing that depends on sensors capturing change in conditions and making adjustments to the environment based on measured change. Worldwide wireless sensor network device market driving forces relate to an overall trend toward implementation of the Internet of things addressing disparate initiatives toward adoption of the smarter planet for buildings, roads, transportation, and mobile health initiative for chronic conditions. This smarter planet trend promises to become prevalent as people learn how to use small core processors combined with sensing technology to keep the cities more livable and themselves healthier. Healthy behaviors such as exercise, good diet and stress management have the potential to reverse aging on a molecular level and partly restore the vitality of a person's cells with sensors and communication of the sensor data over wireless sensor networks playing a significant role in management of life. Healthy lifestyle choices can increase the length of DNA sequences found at the end of a person's chromosomes and reverse aging. This discovery is likely to increase interest in monitoring and testing DNA sequences and looking at the ends of the chromosomes. This discovery is likely to increase a shift toward wellness initiatives. It has stimulated the need for better communication between clinicians and patients.
New sensor technology creates the opportunity for monitoring and testing. Wireless sensor network devices can be used to send alerts to at risk people who are exercising. Wireless sensor networking is set to grow as sensors are freed from the grid and networks implement connectivity that is mesh architecture based. Converting ambient energy to useable electrical energy harvesting (EH) systems creates the opportunity to implement wireless sensor networks. These networks interconnect an inexpensive and compact group of devices and sensors. The networks use wireless capability to power portable electrical devices.
Single User Price of the Report is US $3800 for Discount Inquire @ http://www.reportsnreports.com/contacts/Discount.aspx?name=271010. According to report, lead author prepared the wireless sensor network market research study, "Wireless sensor network markets are evolving as smart phone devices and technology find more uses throughout the landscape of the Internet of Things. Sensors can provide monitoring that has not previously been available. Differential diagnostic tools support provide differential information that helps manage our daily lives from traffic patterns to crime detections, to medical treatment." "The decision process take into account clinical findings from the home monitoring devices and from symptoms verbally communicated in a clinical services setting. Improved economics of healthcare delivery implementation is facilitated by wireless sensor networks. This is true across the spectrum of things that can be monitored by sensors" These wireless sensor networks in the past have relied heavily on batteries that need to be changed by a human.
As the wireless technology, the solid state battery, the sensor technology, smart phone technology and the energy harvesting technology all become commercialized, these devices will be used to implement wireless sensor networks. The wireless sensor networks markets will be driven by the adoption of 8.5 billion smart phones by 2019, creating demand for apps that depend on sensor networks.
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