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市場調查報告書

半導體的無線感測網路:市場佔有率、市場策略、市場預測

Semiconductor Wireless Sensor Network: Market Shares, Market Strategies, and Forecasts, 2014 to 2020

出版商 WinterGreen Research, Inc. 商品編碼 296323
出版日期 內容資訊 英文 492 Pages
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半導體的無線感測網路:市場佔有率、市場策略、市場預測 Semiconductor Wireless Sensor Network: Market Shares, Market Strategies, and Forecasts, 2014 to 2020
出版日期: 2014年02月19日 內容資訊: 英文 492 Pages
簡介

2014年預計有90億設備連接網際網路,至2020年達到1,000億。全球半導體無線感測網路市場2013年達到27億美金,預計2020年達到120億美元。該市場預計產生出依賴感測器網路的應用需求,到2020年引進90億促進智慧型手機發展。

本報告提供全球半導體無線感測網路市場現況與展望調查分析、市場背景和各種影響因素、各用途、地區的出貨數及出貨收益實際成果與預測、主要產品及技術概要,再加上主要企業的市場佔有率,及主要企業簡介等彙整,為您概述為以下內容。

摘要整理

第1章 半導體無線感測網路

  • 無線感測網路市場區隔
  • 半導體無線感測網路的用途

第2章 半導體無線感測網路市場佔有率、市場預測

  • 市場成長的促進要素
  • 市場佔有率
  • 市場預測
  • OEM市場
  • 網際網路的成長
  • 物聯網(IoT)的成長
  • 市場價格
  • 各地區的市場分析

第3章 無線感測網路產品的說明

  • Renesas Electronics
  • Linear Technology
  • Libelium
  • Microsemi
  • Silicon Labs
  • LORD
  • MEMSIC
  • IBM
  • Cisco
  • Siemens
  • Boeing
  • Rockwell
  • Honeywell
  • Freescale Semiconductor Inc.,
  • Schneider Electric
  • 三菱電機
  • Conexant Systems, Inc.
  • Teledyne / Rockwell Scientific
  • Texas Instruments / National Semiconductor Corporation
  • Analog Devices
  • Silicon Labs Solutions
  • Sensata Technologies

第4章 無線感測網路技術

  • Libelium:攝影機感測器
  • Millennial Net MeshScape:無線感測網路軟體平台
  • 無線感測網路的架構
  • 醫療用無線的心臟病網路
  • E支援飛機
  • 無線網路規格
  • WSN節點的零組件

第5章 無線感測網路:企業簡介

圖表

目錄

Worldwide markets are poised to achieve significant growth as the Semiconductor Wireless Sensor Network is used to implement the Internet of things and to monitor pipelines, oil wells, and healthcare patients to illustrate the variety of projects supported by these networks.

Semiconductor wireless sensor networks are used for bridge monitoring, implementing the smart grid, implementing the Internet of things, and monitoring for security implementation. The systems are used to implement energy savings in homes and commercial buildings, almost anything can be monitored with sensors and tracked on a smart phone. Projects are ongoing.

With 9 billion devices connected to the Internet in 2014, phenomenal growth is likely to occur when that number rises to 100 billion by 2020. Businesses control devices with sensors and wireless sensor networks (WSNs).

The sensors connected to the Internet promise to bring a big data explosion. Much of the data will be discarded, as users get simply overwhelmed by vast volumes. Analytics will become popular inside the wireless sensor networks so that alerts are generated at the point of collection of data.

The issue is how to embed analytics into the wireless sensor network control units so that only the alert data needed is transmitted. Users of information need to be able to find, control, manage, and secure the information coming from sensors onto the network. Users need to analyze and exploit the information coming from sensors.

Advanced technologies for wireless sensor networks are associated with emerging ways of interconnecting devices that have never been connected before. 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.

Data storage technologies connected to the sensors are permitting far better control of the world around us, implementing vastly improved energy efficiency as lights and hearting are turned on and off just as needed. Wireless sensor networks implement cost-effective systems.

Wireless sensor networks are developing a market presence. They are set to power wireless sensor network proliferation. Independent sensor devices located almost anywhere have attained workable levels of efficiency.

The proliferation of apps on smart phones will drive growth of semiconductor wireless sensor networks markets because the sensors work directly as they are installed without excess labor and wiring that has been necessary previously, making the systems more convenient to install and run.

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.

According to Susan Eustis, lead author of the WinterGreen Research team that prepared the semiconductor wireless sensor network market research study, "Semiconductor 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"

Semiconductor Wireless Sensor Networks Markets at $2.7 billion in 2013 are forecast to reach $12 billion Worldwide by 2020. Wild growth, frequently measured as penetration rates is a result of the change out of wired sensor networks for wireless ones. In addition, the wireless networks have a broader reach than the wired ones did, spurring market extensions in a variety of applications, some not even thought of so far.

Market growth is dependent on emerging technology. 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 semiconductor wireless sensor networks markets will be driven by the adoption of 9 billion smart phones by 2020, creating demand for apps that depend on sensor networks.

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, Electronics.CA, Bloomberg, and Thompson Financial.

WinterGreen Research is positioned to help customers face challenges that define the modern enterprises. The increasingly global nature of science, technology and engineering is a reflection of the implementation of the globally integrated enterprise. Customers trust WinterGreen Research to work alongside them to ensure the success of the participation in a particular market segment.

Table of Contents

Semiconductor Wireless Sensor Network Executive Summary

SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET EXECUTIVE SUMMARY

  • Semiconductor Wireless Sensor Networks Market Driving Forces
  • Semiconductor Wireless Sensor Networking Market
  • Wireless Sensor Network Energy Harvesting And Storage Applications
  • Semiconductor Wireless Sensor Network Market Shares
  • Semiconductor Wireless Sensor Networks Market Forecast

Semiconductor Wireless Sensor Network Market Description and Market Dynamics

1. SEMICONDUCTOR WIRELESS SENSOR NETWORK

  • 1.1 Wireless Sensor Network Market Segments
    • 1.1.1 Global Spectrum Allocation
  • 1.2 Semiconductor Wireless Sensor Network Applications
    • 1.2.1 Dust Networks Applications
    • 1.2.2 Vigilent and Dust Networks Reduce Data Center Energy Consumption
    • 1.2.3 Dust Networks Transportation Examples
    • 1.2.4 Data Center Wireless Sensor Networks
    • 1.2.5 Wireless Sensor Network Applications and Benefits

Semiconductor Wireless Sensor Network Market Shares and Market Forecasts

2. SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET SHARES AND MARKET FORECASTS55

  • 2.1 Semiconductor Wireless Sensor Networks Market Driving Forces
    • 2.1.1 Semiconductor Wireless Sensor Networking Market
    • 2.1.2 Wireless Sensor Network Energy Harvesting And Storage Applications
  • 2.2 Semiconductor Wireless Sensor Network Market Shares
    • 2.2.1 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology
    • 2.2.2 Linear Technology / Dust Networks Applications
    • 2.2.3 Linear Technology / Dust Networks Data Center Wireless Sensor Networks
    • 2.2.4 Microsemi Airplane Wireless Sensor Networks
    • 2.2.5 IBM Mote Runner Software Development Kit
  • 2.3 Semiconductor Wireless Sensor Networks Market Forecast
    • 2.3.1 Semiconductor Wireless Sensor Network Applications Forecasts
    • 2.3.2 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts
    • 2.3.3 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts
    • 2.3.4 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts
    • 2.3.5 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts
    • 2.3.6 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts
    • 2.3.7 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts
  • 2.4 Semiconductor Wireless Sensor Network OEM Markets
  • 2.5 Internet Grows
    • 2.5.1 Sensors Plus The Cloud
  • 2.6 Internet of Things (IoT) Growth
  • 2.7 Semiconductor Wireless Sensor Networks Market Prices
  • 2.8 Semiconductor Wireless Sensor Networks Regional Market Analysis

Semiconductor Wireless Sensor Network Product Description

3. WIRELESS SENSOR NETWORK PRODUCT DESCRIPTION

  • 3.1 Renesas Electronics Wireless Sensor Network Semiconductors
    • 3.1.1 Renesas Expertise Create And Promote New Markets
    • 3.1.2 Renesas Electronics Manages Rapid Pace Of Change For Wireless Sensor Networks
    • 3.1.3 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology Markets
    • 3.1.4 Renesas Addresses Semiconductor Rapid Pace Of Change
    • 3.1.5 Renesas Sees Demise of Wired Networks
    • 3.1.6 Renesas Analog Front End Brings The Sensor and Microcontroller Together
    • 3.1.7 Renesas Smart Analog Technology
    • 3.1.8 Renesas Reduces Development Time
    • 3.1.9 Renesas Low-Power, Small Footprint Hardware Platform
    • 3.1.10 Renesas Providing Intelligence To Every Sensor
    • 3.1.11 Renesas Proposing New Communication Technologies: BAN and VLC
    • 3.1.12 Renesas Applications for Body Area Networks
    • 3.1.13 Renesas Visible Light Communication Techniques
    • 3.1.14 Renesas Expanding the Operational Capability Of Sensor Modules
    • 3.1.15 Renesas Smart Car
  • 3.2 Linear Technology / Dust Networks
    • 3.2.1 Linear Technology Wireless Sensor Networks for Green Data Centers
    • 3.2.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network
    • 3.2.3 Linear Technology / Dust Networks Embedded Wireless Systems
    • 3.2.4 Linear Technology / Dust Networks / Cymbet
    • 3.2.5 Dust Networks Connects Smart Devices
    • 3.2.6 Dust Networks Eterna IEEE 802.15.4e System-on-Chip Platform
    • 3.2.7 Dust Networks Dynamic Network Optimization
    • 3.2.8 SmartMesh IP Embedded Products
  • 3.3 Libelium Video Wireless Sensor Networks
    • 3.3.1 Libelium Waspmote Uses ZigBee, Bluetooth and Wi-Fi Protocols
    • 3.3.2 Libelium Waspmote and Meshlium
    • 3.3.3 Libelium Meshlium
    • 3.3.4 Libelium Capturing and Storing Sensor Data in Meshlium from a Waspmote Sensor Network
  • 3.4 Microsemi Airplane Wireless Sensor Networks
    • 3.4.1 Microsemi FPGAs
    • 3.4.2 Microsemi TVS devices
    • 3.4.3 Microsemi Integrated Circuits
    • 3.4.4 Microsemi Wireless Sensor Networks
    • 3.4.5 Microsemi Wireless Sensors
  • 3.5 Silicon Labs
    • 3.5.1 Silicon Labs Network Protocols
    • 3.5.2 Silicon Labs EZMacPRO and EZHop Software Modules Position in the OSI Model
    • 3.5.3 Silicon Laboratories Wireless Sensor Networks
    • 3.5.4 Silicon Laboratories
    • 3.5.5 Silicon Laboratories Energy Harvesting Applications
    • 3.5.6 Energy Harvesting Reference Design
  • 3.6 LORD MicroStrain
    • 3.6.1 Lord Smart Network Coordination
    • 3.6.2 Lord Small Sensors. Big Data.
    • 3.6.3 LORD MicroStrain wireless sensor networks (WSN)
    • 3.6.4 LORD MicroStrain
    • 3.6.5 Lord Oil and Gas Wireless Sensor Networks
  • 3.7 MEMSIC's wireless Motes and sensors
  • 3.8 IBM Smarter Planet
    • 3.8.1 IBM Smarter Planet Systems Approach To Product And Systems Development ROI
    • 3.8.2 IBM Mote Runner
    • 3.8.3 IBM Mote Runner Software Development Kit
    • 3.8.4 IBM Mote Runner High-Performance, Lowfoot Print Run-Time Platform
    • 3.8.5 Semtech and IBM
    • 3.8.6 IBM and Libelium Launch 6LoWPAN Development Platform for the Internet of Things
    • 3.8.7 IBM / Libelium Smart World Infographic - Sensors for Smart Cities, Internet of Things
    • 3.8.8 IBM and Libelium, A Wireless Sensor Network Hardware
    • 3.8.9 IBM / MEMSIC
    • 3.8.10 IBM SOAP M2M
    • 3.8.11 IBM M2M Message Flows
    • 3.8.12 IBM Integration Bus
    • 3.8.13 IBM® Operational Decision Manager Automate And Govern Repeatable Decisions
  • 3.9 Cisco Wireless Sensor Networks
    • 3.9.1 Cisco Secure Wireless Plant: Security and Quality of Service for Industrial Environments
    • 3.9.2 Cisco and Dust Networks
    • 3.9.3 Cisco Using Sensor Networking Standards
  • 3.10 Siemens Smart Meters
    • 3.10.1 Siemens Smart Grid Priming Services Customized for Smart Grid Utility Solutions
    • 3.10.2 Siemens Program Management
    • 3.10.3 Siemens Smart Metering Solutions
    • 3.10.4 Siemens Enhanced Distribution Management System
    • 3.10.5 Siemens Information Model Manager (IMM)
  • 3.11 Boeing 195
    • 3.11.1 Boeing / Fujitsu RFID Tracking
    • 3.11.2 Boeing and Fujitsu Use Radio Frequency ID Tags
    • 3.11.3 Boeing Wireless Sensor Applications
    • 3.11.4 Boeing Wireless Sensor Network Applications
    • 3.11.5 Boeing / MicroStrain Synchronized Wireless Sensor Network for Landing Gear
    • 3.11.6 Boeing 767 Aircraft Wireless Sensor Network Cabin Environment Sensor System
  • 3.12 Rockwell Automation
    • 3.12.1 Rockwell Supply Chain Automation
    • 3.12.2 Rockwell Automation Wireless Sensors
  • 3.13 Honeywell
    • 3.13.1 Honeywell OneWireless Network Open System
    • 3.13.2 Honeywell's Multinodes and Cisco's 1552S Aironet Access Points
    • EnOcean
    • EnOcean Link210
    • EnOcean Faster development
    • EnOcean Link Fully Prepared Data
    • EnOcean Encrypted Decoding Gateway
    • EnOcean ECO 200 - Motion Energy Harvesting
    • EnOcean ECT 310 - Thermo Energy Harvesting
    • EnOcean Energy Harvesting Wireless Sensor Solutions
    • EnOcean Energy Harvesting Wireless Sensor Solutions
    • EnOcean Alliance Energy Harvesting Solutions
    • EnOcean-Enabled Wireless Networks
    • EnOcean Alliance
  • 3.14 Freescale Semiconductor Inc.,
  • 3.15 Schneider Electric Lighting Control Solutions for Comprehensive Facility Energy Management
    • 3.15.1 Schneider Electric Lighting Control Systems
    • 3.15.2 Schneider Electric / Invensys PLC.
  • 3.16 Mitsubishi Electric
  • 3.17 Conexant Systems, Inc.
  • 3.18 Teledyne / Rockwell Scientific ...
  • 3.19 Texas Instruments / National Semiconductor Corporation, LMX3162 Single Chip Radio
  • 3.20 Analog Devices Wireless Vibration Sensing Network System
  • 3.21 Silicon Labs Solutions For Energy Harvesting Systems
    • 3.21.1 Silicon Labs Energy Harvesting Tipping Point for Wireless Sensor Applications
    • 3.21.2 Silicon Laboratories Low-Power Optimization
    • 3.21.3 Silicon Labs Solutions For Energy Harvesting Systems
    • 3.21.4 Silicon Labs Minimizing The Amount Of Time The Radio Is On
    • 3.21.5 Silicon Laboratories Managing Harvested Energy
    • 3.21.6 Silicon Labs Ability To Power Wireless Sensor Nodes
    • 3.21.7 Silicon Labs Powers Wireless Node with Energy Harvesting
  • 3.22 Sensata Technologies

Semiconductor Wireless Sensor Network Technology

4. WIRELESS SENSOR NETWORK TECHNOLOGY

  • 4.1 Libelium Video Camera Sensors
    • 4.1.1 Libelium Technology
  • 4.2 Millennial Net MeshScape™ Wireless Sensor Networking Software Platform
  • 4.3 Wireless Sensor Network Architecture
  • 4.4 Healthcare Wireless Cardiac Networking
    • 4.4.1 Flexible Circuit Board
    • 4.4.2 Wireless Heart-Monitoring Devices
    • 4.4.3 Zigbee Retail
    • 4.4.4 Zigbee Smart Energy
    • 4.4.5 Zigbee Smart Apps: ZigBee Building Automation
  • 4.5 E-Enabled Airplanes
    • 4.5.1 Security Of Wireless Sensor Network Enabled Airplane Health
  • 4.6 Wireless Network Standards
    • 4.6.1 Zigbee Alliance
    • 4.6.2 M2M 290
    • 4.6.3 LXRS® PROTOCOL
    • 4.6.4 WirelessHART (IEC62591)
  • 4.7 Components of a WSN Node
    • 4.7.1 Small Cells and LTE
    • 4.7.2 Smart Antenna Systems

Semiconductor Wireless Sensor Network Company Profiles

5. WIRELESS SENSOR NETWORK COMPANY DESCRIPTION

  • 5.1 Akamai
    • 5.1.1 Akamai Balances Web Site Traffic
    • 5.1.2 Akamai Revenue
  • 5.2 Analog Devices
    • 5.2.1 Analog Devices Revenue
    • 5.2.2 Analog Devices MEMS Wireless Vibration Sensors
  • 5.3 Conexant Systems
  • 5.4 Dialog
    • 5.4.1 Dialog Typical Cordless Telephony Applications
  • 5.5 Freescale Semiconductor
    • 5.5.1 Freescale Semiconductor Revenue
  • 5.6 Fujitsu
    • 5.6.1 Fujitsu Revenue
    • 5.1.1 Fujitsu Technology Solutions Services
    • 5.1.2 Fujitsu Corporate Strategy
    • 5.1.3 Fujitsu Revenue
    • 5.1.4 Fujitsu Interstage
    • 5.1.5 Fujitsu Acquires RunMyProcess Cloud Service Provider
  • 5.7 Gemalto
    • 5.7.1 Gemalto Q3 2014 Results
  • 5.8 Honeywell
    • 5.8.1 Honeywell Revenue
    • 5.8.2 Honeywell Aerospace
    • 5.8.3 Honeywell Automation and Control Solutions
    • 5.8.4 Honeywell Performance Materials and Technologies
    • 5.8.5 Honeywell Transportation Systems
    • 5.8.6 Honeywell
    • 5.8.7 Honeywell Energy-Harvesting Sensing and Control
  • 5.9 IBM 329
    • 5.9.1 IBM Industry Analyst Perspective
    • 5.9.2 IBM Strategy
    • 5.9.3 IBM Revenue
    • 5.9.4 IBM Q4 2013 Software
    • 5.9.5 IBM Q4 2013 Services
    • 5.9.6 IBM Q4 2013 Financing
    • 5.9.7 IBM Q4 2013 Hardware
    • 5.9.8 IBM Q4 Geographic Regions
    • 5.9.9 IBM Q4 Growth Markets
    • 5.9.10 IBM Full-Year 2013 Results
    • 5.9.11 IBM Full-Year Geographic Regions
    • 5.9.12 IBM Growth Markets
    • 5.9.13 IBM Business Partners
    • 5.9.14 IBM Messaging Extension for Web Application Pattern
    • 5.9.15 IBM MobileFirst
    • 5.9.16 IBM Analytics and Optimization Strategy
    • 5.9.17 IBM Smarter Planet
    • 5.9.18 IBM Cloud Computing
    • 5.9.19 IBM Business Model
    • 5.9.20 IBM Business Revenue Segments And Capabilities
  • 5.10 Integrated Device Technology (IDT)
    • 5.10.1 Integrated Device Technology, Inc. (IDT) Revenue
    • 5.10.2 Integrated Device Technology, Inc. (IDT) Products
  • 5.11 Invensys356
    • 5.11.1 Invensys Revenue
    • 5.11.2 Invensys Offer From Schneider Electric S.A
  • 5.12 Libelium
    • 5.12.1 Libelium Wireless Sensor Network Platform
    • 5.12.2 Libelium as Internet of Things Platform Provider
    • 5.12.3 Libelium Vehicle Traffic Monitoring Platform
    • 5.12.4 Libelium Waspmote Modular Platform
  • 5.13 Linear Technology / Dust Networks
    • 5.13.1 Dust Networks
    • 5.13.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network
    • 5.13.3 Dust Networks Applications
    • 5.13.4 Linear Technology Revenue
    • 5.13.5 Linear Technology Acquisitions
    • 5.13.6 Linear Technology Products
    • 5.13.7 Linear Technology
  • 5.14 Lord 377
    • 5.14.1 Lord Combining Multiple Sensors
    • 5.14.2 Lord MicroStrain® Sensing Systems Quality & Innovation
    • 5.14.3 Lord Revenue
  • 5.15 Microsemi Corporation
    • 5.15.1 Microsemi Customers
    • 5.15.2 Microsemi Revenue
    • 5.15.3 Microsemi / Zarlink Semiconductor
  • 5.16 Millennial Net
  • 5.17 Mitsubishi Electric
  • 5.18 Northrop Grumman
    • 5.18.1 Northrop Grumman Smart Grid
    • 5.18.2 Northrop Grumman
    • 5.18.3 Northrop Grumman Corp (NOC.N) Spinning Off Or Selling Its Shipbuilding Business
    • 5.18.4 Northrop Grumman Remotec Robots
    • 5.18.5 Northrop Grumman Opens New Facilities for Design and Manufacture of Unmanned Ground Vehicles in Coventory
    • 5.18.6 Northrop Grumman Business Sectors:
    • 5.18.7 Northrop Grumman Aerospace Systems
  • 5.19 OMRON
    • 5.19.1 Omron Revenue
  • 5.20 Renesas 428
    • 5.20.1 Renesas Electronics Partners and Customers
    • 5.21 Rockwell Automation
    • 5.21.1 Rockwell Automation Acquires vMonitor
    • 5.21.2 Rockwell Automation / VMonitor Wireless Sensors
  • 5.22 Schneider Electric
    • 5.22.1 Schneider Electric
    • 5.22.2 Schneider Electric Vision Smart Grid:
    • 5.22.3 Schneider Electric Triggers of the Smart Grid
    • 5.22.4 Schneider Electric Revenue
    • 5.22.5 Smart Grid: Schneider Electric Vision
    • 5.22.6 Schneider Electric Triggers of the Smart Grid
    • 5.22.7 Schneider Electric / Invensys
    • 5.22.8 Schneider Electric / Invensys Revenue
    • 5.22.9 Schneider Electric / Invensys Offer From Schneider Electric S.A
  • 5.23 Semtech 464
    • 5.23.1 Semtech / Gennum
    • 5.23.2 Semtech / Cycleo SAS
    • 5.23.3 Semtech Revenue
  • 5.24 Sensata Technologies
    • 5.24.1 Sensata Technologies Acquires Wabash Technologies
    • 5.24.2 Sensata Technologies Revenue
  • 5.25 Silicon Labs
    • 5.25.1 Silicon Laboratories Energy Harvesting Applications
    • 5.25.2 Silicon Laboratories Products
  • 5.26 Texas Instruments
    • 5.26.1 Texas Instruments Revenue
  • 5.27 Zigbee Standard
    • 5.27.1 ZigBee Gateway
  • 5.28 Z-wave 480
  • 5.29 Wireless Sensor Network WSN Selected Company List

List of Tables and Figures

  • Table ES-1 Wireless Sensor Networking Market Driving Forces
  • Table ES-2 Wireless Sensor Networking Technology Uses
  • Table ES-3 Wireless Sensor Networks Market Factors
  • Figure ES-4 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013
  • Figure ES-5 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020
  • Figure 1-1 Wireless Sensor Network Market Segments
  • Figure 1-2 Global Spectrum Allocation
  • Figure 1-3 4G Deployment Aspects
  • Table 1-4 Types of Wireless Sensor Networks (WSN)
  • Table 1-5 Characteristics Of A Wireless Sensor Network (WSN)
  • Table 1-6 Wireless Sensor Network Data Center Benefits:
  • Table 1-7 Wireless Sensor Network Data Center Functions:
  • Table 1-8 Wireless Sensor Network Data Center Features
  • Table 1-9 Wireless Sensor Network Data Center Challenges:
  • Table 1-10 Wireless Sensor Network Applications and Benefits
  • Table 2-1 Wireless Sensor Networking Market Driving Forces
  • Table 2-2 Wireless Sensor Networking Technology Uses
  • Table 2-3 Wireless Sensor Networks Market Factors
  • Figure 2-4 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013
  • Table 2-5 Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013
  • Figure 2-6 Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020
  • Table 2-7 Semiconductor Wireless Sensor Networks Market Forecasts, Worldwide, 2014-2020
  • Table 2-8 Semiconductor Wireless Sensor Network Market Segments, Dollars, Worldwide, 2014-2020
  • Table 2-9 Semiconductor Wireless Sensor Network Market Segments, Percent, Worldwide, 2014-2020
  • Table 2-10 Semiconductor Wireless Sensor Network Market Forecasts, Dollars and Units, Worldwide, 2014-2020
  • Figure 2-11 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts, Dollars, Worldwide, 2014-2020
  • Figure 2-12 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Worldwide, Dollars, 2014-2020
  • Figure 2-13 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts, Dollars, Worldwide, 2014-2020
  • Figure 2-14 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts, Worldwide, 2014-2020
  • Figure 2-15 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts, Dollars, Worldwide, 2014-2020
  • Figure 2-16 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts Dollars, Worldwide, 2014-2020
  • Table 2-17 OEM Wireless Sensor Network Embedded Product Market Shares Dollars, Worldwide, 2013
  • Figure 2-18 Wireless Sensor Networks Generate Zettabytes of Data
  • Figure 2-19 Wireless Sensor Network Regional Market Segments, 2013
  • Table 2-20 Wireless Sensor Network Regional Market Segments, 2013
  • Figure 3-1 Renesas Electronics Wireless Sensor Network Semiconductors
  • Figure 3-2 Renesas Electronics Semiconductor Smart Building Solutions For Key Embedded System Applications
  • Figure 3-3 Renesas Wireless Sensor Network Semiconductor Technical Capabilities
  • Table 3-4 Renesas Addresses Semiconductor Rapid Pace Of Change
  • Table 3-5 Renesas Wireless Sensor Network Technologies
  • Figure 3-6 Renesas Analog Front End Brings The Sensor and Microcontroller Together
  • Table 3-7 Renesas Smart Analog Technology Benefits
  • Figure 3-8 Renesas Smart Analog Technology
  • Figure 3-9 Renesas Reduces Overall Design Lead Time
  • Figure 3-10 Renesas Low-power, Small Footprint Hardware Platform
  • Table 3-11 Renesas Smart Analog Technology
  • Figure 3-12 Renesas Practical Example of Field Programmability (Light Sensor)
  • Figure 3-13 Renesas Applications for BAN in Healthcare, Automotive, Commerce And Security
  • Figure 3-14 Renesas Visible Light Communication Techniques
  • Table 3-15 Renesas Common Automotive Technologies
  • Table 3-16 Selected Renesas Automotive Wireless Sensor Network Components
  • Table 3-16 (Continued) Selected Renesas Automotive Wireless Sensor Network Components
  • Figure 3-17 Linear Technology Application Areas
  • Table 3-18 Linear Technology / Dust Networks Benefits of Wireless Sensor Networks, (WSN) For Data Center Energy Management
  • Figure 3-19 Linear Technology / Dust Networks Wireless Sensor Network Mission Critical Operations
  • Figure 3-20 Linear Technology / Dust Networks Wireless Sensor Network Target Markets
  • Figure 3-21 Linear Technology / Dust Networks LTC
  • Table 3-22 Dust Networks Portfolio Of Standards-Based Products
  • Table 3-23 Dust Networks Eterna Features
  • Table 3-24 Dust Networks Dynamic Network Optimization Functions
  • Figure 3-25 Linear Technology / Dust Networks SmartMesh IP Solution
  • Figure 3-26 Libelium Waspmote Wireless Sensor Network Platform
  • Figure 3-27 Libelium Night Vision Mode
  • Table 3-28 Libelium Video Camera Sensor Nodes Key Features:
  • Figure 3-29 Libelium Wireless Sensor Networks
  • Table 3-30 Libelium Waspmote and Meshlium Configurations:
  • Table 3-31 Microsemi Commercial Aviation Solutions
  • Figur3-32 Microsemi Wireless Sensor Networks
  • Table 3-33 Silicon Labs Wireless Sensor Network Applications
  • Figure 3-34 Silicon Labs OSI Model
  • Figure 3-35 Silicon Labs OSI Model
  • Table 3-36 Silicon Labs Wireless Sensor Network WSNs Benefits
  • Figure 3-37 Silicon Laboratories Energy Harvesting Components
  • Figure 3-38 Silicon Laboratories
  • Figure 3-39 MEMSIC Wireless Sensor Network Technology
  • Figure 3-40 Wireless Sensor Networks Smarter Planet systems approach Savings
  • Figure 3-41 IBM Smarter Planet Initiatives
  • Figure 3-42 IBM Mote Runner Challenges Addressed
  • Figure 3-43 IBM Mote Runner Challenges Advantages
  • Figure 3-44 Libelium Waspmote Wireless Sensor Network Platform
  • Figure 3-45 Libelium Waspmote Wireless Sensor Platform Components
  • Table 3-46 IBM® Operational Decision Manager
  • Table 3-47 Cisco Wireless Sensor Networks Uses
  • Figure 3-48 Microsemi Corporation Supports Siemens
  • Table 3-49 Siemens Spectrum Power IMM Key Benefits
  • Figure 3-50
  • Table 3-51 Boeing Energy Harvesting Development Programs Functions
  • Figure 3-52 Boeing Wireless Sensor Aircraft Applications
  • Figure 3-53 Broadband Energy Harvester (Boeing )
  • Figure 3-54 Broadband Wireless Sensor Network (Boeing )
  • Figure 3-55 EnOcean Middleware For Energy Harvesting
  • Figure 3-56 EnOcean ECO 200 - Motion Energy Harvesting
  • Table 3-57 EnOcean ECO 200 - Motion Energy Harvesting
  • Figure 3-58 EnOcean ECO 100 - Motion Energy Harvesting
  • Table 3-59 EnOcean Energy Harvesting Motion Converter
  • Table 3-60 EnOcean ECT 310 Perpetuum
  • Table 3-61 EnOcean Thermo Converter
  • Table 3-62 EnOcean Energy Converters For Energy Harvesting Wireless Applications
  • Figure 3-63 EnOcean-Enabled Wireless Sensor Networks
  • Table 3-64 EnOcean Alliance Energy Harvesting Solutions Advantages
  • Table 3-65 EnOcean Energy Harvesting Sources
  • Figure 3-66 EnOcean Energy Harvesting Wireless Sensor Technology
  • Figure 3-67 EnOcean Energy Harvesting Wireless Sensor Devices
  • Figure 3-68 Schneider Electric Energy Harvesting
  • Figure 3-69 Texas Instruments Smart Grid Solutions
  • Figure 3-70 Texas Instruments Semiconductor Wireless Sensor Networks Markets
  • Figure 3-71 Texas Instruments Industrial Communications Automation Networks
  • Table 3-72 Silicon Labs Solutions For Energy Harvesting Applications
  • Table 3-73 Silicon Labs Solutions For Energy Harvesting Solutions
  • Table 3-74 Silicon Labs Solutions For Energy Harvesting Systems
  • Figure 3-75 Silicon Laboratories Wireless Sensor Node Power Cycle
  • Figure 3-76 Silicon Labs Solutions For Energy Harvesting Systems
  • Figure 4-1 Libelium Video Camera Sensors
  • Fiigure 4-2 Libelium Security Device Takes Pictures In Total Darkness
  • Table 4-3 Libelium Security Device Key Features:
  • Table 4-4 Libelium Night Vision Key Features:
  • Figure 4-5 Libelium Waspmote Technology
  • Table 4-6 Wireless Sensor Networking Technology Benefits
  • Table 4-7 Millennial Net Wireless Sensor Networking Protocol Responsive Functions
  • Table 4-8 Millennial Net Wireless Sensor Networking Protocol Reliability Functions
  • Table 4-9 Millennial Net Wireless Sensor Networking Protocol Power Efficient Functions
  • Table 4-10 Millennial Net Wireless Sensor Networking Protocol Functions
  • Figure 4-11 Wireless Sensor Network Architecture
  • Figure 4-12 Wireless Autonomous Transducer electrocardiogram Solution
  • Table 4-13 Wireless Sensor Networking Technology Uses
  • Table 4-14 Wireless Sensor Networking E-Enabled Airplane Benefits
  • Table 4-15 Wireless Sensor Networking E-Enabled Airplane Functions
  • Figure 4-16 Security Of Wireless Sensor Network Enabled Airplane Health Monitoring
  • Figure 4-17 LXRS® Wireless Protocol
  • Figure 4-18 WirelessHART (IEC62591)
  • Table 5-1 Analog Devices Target Markets
  • Figure 5-2 Dialog's short range wireless technology
  • Figure 5-3 Fujitsu Core Technologies for Advanced ICT, 2013 and 2023
  • Figure 5-4 Fujitsu Focus on Innovation
  • Table 5-5 Honeywell Energy-Harvesting Sensing and Control
  • Table 5-6 IDT Product Set
  • Figure 5-7 Invensys Software and Industrial Automation Target Markets
  • Figure 5-8 Invensys Energy Controls and Appliance Target Markets
  • Figure 5-9 Libelium Waspmote Open-Source Wireless Sensor Platform
  • Figure 5-10 Libelium Customers
  • Figure 5-11 Libelium as Internet of Things Platform Provider
  • Figure 5-12 Libelium Vehicle Platform Allows Real Time Systems For Monitoring Traffic
  • Figure 5-13 Libelium Wireless Sensor Network Vehicle Platform
  • Figure 5-14 Libelium Awards
  • Figure 5-15 Microsemi Revenue and Positioning
  • Figure 5-16 Microsemi Customers
  • Figure 5-17 Microsemi Market Focus
  • Figure 5-18 Microsemi Communications Market
  • Figure 5-19 Microsemi World Class Timing
  • Figure 5-20 Microsemi Aerospace Market
  • Figure 5-21 Microsemi Aerospace Annual Deliveries
  • Figure 5-22 Microsemi World Class Avionics
  • Figure 5-23 Microsemi World Class Satellite Launches
  • Figure 5-24 Microsemi World Class Satellite Solutions
  • Figure 5-25 Microsemi Corporation View of Growth Drivers in Space
  • Figure 5-26 Microsemi Defense and Security Market
  • Figure 5-27 Microsemi Key Defense and Security Market Drivers
  • Figure 5-28 Microsemi World Class Industrial Espionage and National Security Positioning
  • Figure 5-29 Microsemi Defense and Security Market TAM & SAM
  • Figure 5-30 Microsemi World Class Satellite Launches
  • Figure 5-31 Microsemi Industrial Market Subsegment Growth Rates
  • Figure 5-32 Microsemi Industrial Deployment Examples
  • Figure 5-33 Microsemi Industrial Market Customers
  • Figure 5-34 Microsemi Defense and Security Market
  • Figure 5-35 Millennial Net Customers
  • Table 5-36 Renesas Electronics Product Categories
  • Figure 5-37 Renesas Positioning As Trustworthy Partner Able To Meet Customer Needs Worldwide
  • Figure 5-38 Renesas Electronics Partners and Customers
  • Figure 5-39 Renesas Revenue Summary
  • Figure 5-40 Renesas Quarterly Revenue Summary
  • Figure 5-41 Renesas Semiconductor Revenue Summary
  • Figure 5-42 Renesas Trends in Revenue Summary
  • Figure 5-43 Renesas Major Factors Affecting Semiconductor Sales Summary
  • Figure 5-44 Renesas Revenue Segment Summary
  • Figure 5-45 Renesas Segment and Subsegment Revenue Summary
  • Figure 5-46 Renesas Major Factors Affecting Semiconductor Revenue Summary
  • Figure 5-47 Schneider Energy Value Chain:
  • Table 5-48 Schneider Electric Triggers Innovation For the Smart Grid
  • Figure 5-49 Schneider Electric Revenue
  • Figure 5-50 Schneider Energy Value Chain
  • Table 5-51 Schneider Electric Triggers of the Smart Grid
  • Figure 5-52 Invensys Software and Industrial Automation Target Markets
  • Figure 5-53 Invensys Energy Controls and Appliance Target Markets
  • Figure 5-54 Sensata Technologies Revenue Mix
  • Figure 5-55 Silicon Laboratories Revenue
  • Table 5-56 Silicon Laboratories Product Functions
  • Table 5-57 Silicon Laboratories Product Areas and Description
  • Figure 5-58 Zigbee Selected Alliance Members
  • Table 5-59 Z-Wave device Benefits
  • Table 5-60 Z-Wave Home Control Functions
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