Welcome!

@ThingsExpo Authors: Elizabeth White, Pat Romanski, Lori MacVittie, Liz Dickinson, Trevor Parsons

News Feed Item

Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020

LONDON, Aug. 4, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020

http://www.reportbuyer.com/computing_electronics/manufacturing/semiconductor_wireless_sensor_internet_things_iot_market_shares_strategies_forecasts_worldwide_2014_2020.html

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.

SEMICONDUCTOR WIRELESS SENSOR NETWORK MARKET EXECUTIVE SUMMARY 30

 

Semiconductor Wireless Sensor Networks Market Driving Forces 30

Semiconductor Wireless Sensor Networking Market 32

Wireless Sensor Network Energy Harvesting And Storage Applications 35

Semiconductor Wireless Sensor Network Market Shares 35

Semiconductor Wireless Sensor Networks Market Forecast 37

Semiconductor Wireless Sensor Network Market Description and Market Dynamics

 

1. SEMICONDUCTOR WIRELESS SENSOR NETWORK 40

 

1.1 Wireless Sensor Network Market Segments 40

1.1.1 Global Spectrum Allocation 41

1.2 Semiconductor Wireless Sensor Network Applications 42

1.2.1 Dust Networks Applications 47

1.2.2 Vigilent and Dust Networks Reduce Data Center Energy Consumption 48

1.2.3 Dust Networks Transportation Examples 48

1.2.4 Data Center Wireless Sensor Networks 49

1.2.5 Wireless Sensor Network Applications and Benefits 53

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 55

2.1.1 Semiconductor Wireless Sensor Networking Market 57

2.1.2 Wireless Sensor Network Energy Harvesting And Storage Applications 60

2.2 Semiconductor Wireless Sensor Network Market Shares 60

2.2.1 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology 64

2.2.2 Linear Technology / Dust Networks Applications 64

2.2.3 Linear Technology / Dust Networks Data Center Wireless Sensor Networks 65

2.2.4 Microsemi Airplane Wireless Sensor Networks 65

2.2.5 IBM Mote Runner Software Development Kit 66

2.3 Semiconductor Wireless Sensor Networks Market Forecast 67

2.3.1 Semiconductor Wireless Sensor Network Applications Forecasts 70

2.3.2 Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts 74

2.3.3 Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments Market Forecasts 75

2.3.4 Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts 77

2.3.5 Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts 78

2.3.6 Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments Market Forecasts 80

2.3.7 Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks Market Forecasts 82

2.4 Semiconductor Wireless Sensor Network OEM Markets 83

2.5 Internet Grows 86

2.5.1 Sensors Plus The Cloud 87

2.6 Internet of Things (IoT) Growth 87

2.7 Semiconductor Wireless Sensor Networks Market Prices 89

2.8 Semiconductor Wireless Sensor Networks Regional Market Analysis 90

 

3. WIRELESS SENSOR NETWORK PRODUCT DESCRIPTION 94

 

3.1 Renesas Electronics Wireless Sensor Network Semiconductors 94

3.1.1 Renesas Expertise Create And Promote New Markets 97

3.1.2 Renesas Electronics Manages Rapid Pace Of Change For Wireless Sensor Networks 98

3.1.3 Renesas Electronics Wireless Sensor Networks: Semiconductor Technology Markets 101

3.1.4 Renesas Addresses Semiconductor Rapid Pace Of Change 102

3.1.5 Renesas Sees Demise of Wired Networks 103

3.1.6 Renesas Analog Front End Brings The Sensor and Microcontroller Together 104

3.1.7 Renesas Smart Analog Technology 105

3.1.8 Renesas Reduces Development Time 107

3.1.9 Renesas Low-Power, Small Footprint Hardware Platform 109

3.1.10 Renesas Providing Intelligence To Every Sensor 110

3.1.11 Renesas Proposing New Communication Technologies: BAN and VLC 111

3.1.12 Renesas Applications for Body Area Networks 112

3.1.13 Renesas Visible Light Communication Techniques 114

3.1.14 Renesas Expanding the Operational Capability Of Sensor Modules 116

3.1.15 Renesas Smart Car 116

3.2 Linear Technology / Dust Networks 123

3.2.1 Linear Technology Wireless Sensor Networks for Green Data Centers 125

3.2.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 126

3.2.3 Linear Technology / Dust Networks Embedded Wireless Systems 127

3.2.4 Linear Technology / Dust Networks / Cymbet 130

3.2.5 Dust Networks Connects Smart Devices 131

3.2.6 Dust Networks Eterna IEEE 802.15.4e System-on-Chip Platform 133

3.2.7 Dust Networks Dynamic Network Optimization 134

3.2.8 SmartMesh IP Embedded Products 135

3.3 Libelium Video Wireless Sensor Networks 137

3.3.1 Libelium Waspmote Uses ZigBee, Bluetooth and Wi-Fi Protocols 139

3.3.2 Libelium Waspmote and Meshlium 142

3.3.3 Libelium Meshlium 143

3.3.4 Libelium Capturing and Storing Sensor Data in Meshlium from a Waspmote Sensor Network 145

3.4 Microsemi Airplane Wireless Sensor Networks 146

3.4.1 Microsemi FPGAs 149

3.4.2 Microsemi TVS devices 149

3.4.3 Microsemi Integrated Circuits 150

3.4.4 Microsemi Wireless Sensor Networks 151

3.4.5 Microsemi Wireless Sensors 152

3.5 Silicon Labs 152

3.5.1 Silicon Labs Network Protocols 155

3.5.2 Silicon Labs EZMacPRO and EZHop Software Modules Position in the OSI Model 157

3.5.3 Silicon Laboratories Wireless Sensor Networks 158

3.5.4 Silicon Laboratories 159

3.5.5 Silicon Laboratories Energy Harvesting Applications 160

3.5.6 Energy Harvesting Reference Design 160

3.6 LORD MicroStrain 161

3.6.1 Lord Smart Network Coordination 161

3.6.2 Lord Small Sensors. Big Data. 162

3.6.3 LORD MicroStrain wireless sensor networks (WSN) 162

3.6.4 LORD MicroStrain 163

3.6.5 Lord Oil and Gas Wireless Sensor Networks 164

3.7 MEMSIC's wireless Motes and sensors 165

3.8 IBM Smarter Planet 167

3.8.1 IBM Smarter Planet Systems Approach To Product And Systems Development ROI 168

3.8.2 IBM Mote Runner 169

3.8.3 IBM Mote Runner Software Development Kit 170

3.8.4 IBM Mote Runner High-Performance, Lowfoot Print Run-Time Platform 171

3.8.5 Semtech and IBM 174

3.8.6 IBM and Libelium Launch 6LoWPAN Development Platform for the Internet of Things 175

3.8.7 IBM / Libelium Smart World Infographic – Sensors for Smart Cities, Internet of Things 179

3.8.8 IBM and Libelium, A Wireless Sensor Network Hardware 179

3.8.9 IBM / MEMSIC 179

3.8.10 IBM SOAP M2M 181

3.8.11 IBM M2M Message Flows 181

3.8.12 IBM Integration Bus 182

3.8.13 IBM® Operational Decision Manager Automate And Govern Repeatable Decisions 183

3.9 Cisco Wireless Sensor Networks 184

3.9.1 Cisco Secure Wireless Plant: Security and Quality of Service for Industrial Environments 185

3.9.2 Cisco and Dust Networks 186

3.9.3 Cisco Using Sensor Networking Standards 187

3.10 Siemens Smart Meters 189

3.10.1 Siemens Smart Grid Priming Services Customized for Smart Grid Utility Solutions 190

3.10.2 Siemens Program Management 190

3.10.3 Siemens Smart Metering Solutions 191

3.10.4 Siemens Enhanced Distribution Management System 192

3.10.5 Siemens Information Model Manager (IMM) 192

3.11 Boeing 195

3.11.1 Boeing / Fujitsu RFID Tracking 196

3.11.2 Boeing and Fujitsu Use Radio Frequency ID Tags 198

3.11.3 Boeing Wireless Sensor Applications 199

3.11.4 Boeing Wireless Sensor Network Applications 200

3.11.5 Boeing / MicroStrain Synchronized Wireless Sensor Network for Landing Gear 204

3.11.6 Boeing 767 Aircraft Wireless Sensor Network Cabin Environment Sensor System 206

3.12 Rockwell Automation 206

3.12.1 Rockwell Supply Chain Automation 207

3.12.2 Rockwell Automation Wireless Sensors 207

3.13 Honeywell 207

3.13.1 Honeywell OneWireless Network Open System 208

3.13.2 Honeywell's Multinodes and Cisco's 1552S Aironet Access Points 208

EnOcean 209

EnOcean Link210

EnOcean Faster development 211

EnOcean Link Fully Prepared Data 212

EnOcean Encrypted Decoding Gateway 213

EnOcean ECO 200 - Motion Energy Harvesting 214

EnOcean ECT 310 - Thermo Energy Harvesting 217

EnOcean Energy Harvesting Wireless Sensor Solutions 220

EnOcean Energy Harvesting Wireless Sensor Solutions 221

EnOcean Alliance Energy Harvesting Solutions 226

EnOcean-Enabled Wireless Networks 226

EnOcean Alliance 228

3.14 Freescale Semiconductor Inc., 232

3.15 Schneider Electric Lighting Control Solutions for Comprehensive Facility Energy Management234

3.15.1 Schneider Electric Lighting Control Systems 234

3.15.2 Schneider Electric / Invensys PLC. 235

3.16 Mitsubishi Electric 236

3.17 Conexant Systems, Inc. 236

3.18 Teledyne / Rockwell Scientific … 236

3.19 Texas Instruments / National Semiconductor Corporation, LMX3162 Single Chip Radio 237

3.20 Analog Devices Wireless Vibration Sensing Network System 241

3.21 Silicon Labs Solutions For Energy Harvesting Systems 241

3.21.1 Silicon Labs Energy Harvesting Tipping Point for Wireless Sensor Applications 246

3.21.2 Silicon Laboratories Low-Power Optimization 247

3.21.3 Silicon Labs Solutions For Energy Harvesting Systems 248

3.21.4 Silicon Labs Minimizing The Amount Of Time The Radio Is On 249

3.21.5 Silicon Laboratories Managing Harvested Energy 250

3.21.6 Silicon Labs Ability To Power Wireless Sensor Nodes 254

3.21.7 Silicon Labs Powers Wireless Node with Energy Harvesting 254

3.22 Sensata Technologies 254

Semiconductor Wireless Sensor Network Technology

 

4. WIRELESS SENSOR NETWORK TECHNOLOGY 258

 

4.1 Libelium Video Camera Sensors 258

4.1.1 Libelium Technology 262

4.2 Millennial Net MeshScape™ Wireless Sensor Networking Software Platform 265

4.3 Wireless Sensor Network Architecture 271

4.4 Healthcare Wireless Cardiac Networking 272

4.4.1 Flexible Circuit Board 273

4.4.2 Wireless Heart-Monitoring Devices 275

4.4.3 Zigbee Retail 279

4.4.4 Zigbee Smart Energy 279

4.4.5 Zigbee Smart Apps: ZigBee Building Automation 282

4.5 E-Enabled Airplanes 283

4.5.1 Security Of Wireless Sensor Network Enabled Airplane Health 287

4.6 Wireless Network Standards 289

4.6.1 Zigbee Alliance 289

4.6.2 M2M 290

4.6.3 LXRS® PROTOCOL 291

4.6.4 WirelessHART (IEC62591) 292

4.7 Components of a WSN Node 295

4.7.1 Small Cells and LTE 297

4.7.2 Smart Antenna Systems 298

 

5. WIRELESS SENSOR NETWORK COMPANY DESCRIPTION 300

 

5.1 Akamai 300

5.1.1 Akamai Balances Web Site Traffic 301

5.1.2 Akamai Revenue 301

5.2 Analog Devices 302

5.2.1 Analog Devices Revenue 304

5.2.2 Analog Devices MEMS Wireless Vibration Sensors 305

5.3 Conexant Systems 306

5.4 Dialog 306

5.4.1 Dialog Typical Cordless Telephony Applications 308

5.5 Freescale Semiconductor 310

5.5.1 Freescale Semiconductor Revenue 313

5.6 Fujitsu 313

5.6.1 Fujitsu Revenue 313

5.1.1 Fujitsu Technology Solutions Services 318

5.1.2 Fujitsu Corporate Strategy 318

5.1.3 Fujitsu Revenue 319

5.1.4 Fujitsu Interstage 320

5.1.5 Fujitsu Acquires RunMyProcess Cloud Service Provider 321

5.7 Gemalto 322

5.7.1 Gemalto Q3 2014 Results 322

5.8 Honeywell 323

5.8.1 Honeywell Revenue 324

5.8.2 Honeywell Aerospace 324

5.8.3 Honeywell Automation and Control Solutions 324

5.8.4 Honeywell Performance Materials and Technologies 325

5.8.5 Honeywell Transportation Systems 327

5.8.6 Honeywell 327

5.8.7 Honeywell Energy-Harvesting Sensing and Control 328

5.9 IBM 329

5.9.1 IBM Industry Analyst Perspective 330

5.9.2 IBM Strategy 331

5.9.3 IBM Revenue 333

5.9.4 IBM Q4 2013 Software 335

5.9.5 IBM Q4 2013 Services 335

5.9.6 IBM Q4 2013 Financing 336

5.9.7 IBM Q4 2013 Hardware 336

5.9.8 IBM Q4 Geographic Regions 336

5.9.9 IBM Q4 Growth Markets 337

5.9.10 IBM Full-Year 2013 Results 337

5.9.11 IBM Full-Year Geographic Regions 338

5.9.12 IBM Growth Markets 338

5.9.13 IBM Business Partners 339

5.9.14 IBM Messaging Extension for Web Application Pattern 341

5.9.15 IBM MobileFirst 341

5.9.16 IBM Analytics and Optimization Strategy 342

5.9.17 IBM Smarter Planet 342

5.9.18 IBM Cloud Computing 344

5.9.19 IBM Business Model 345

5.9.20 IBM Business Revenue Segments And Capabilities 345

5.10 Integrated Device Technology (IDT) 353

5.10.1 Integrated Device Technology, Inc. (IDT) Revenue 354

5.10.2 Integrated Device Technology, Inc. (IDT) Products 354

5.11 Invensys356

5.11.1 Invensys Revenue 359

5.11.2 Invensys Offer From Schneider Electric S.A 360

5.12 Libelium 360

5.12.1 Libelium Wireless Sensor Network Platform 360

5.12.2 Libelium as Internet of Things Platform Provider 363

5.12.3 Libelium Vehicle Traffic Monitoring Platform 364

5.12.4 Libelium Waspmote Modular Platform 369

5.13 Linear Technology / Dust Networks 371

5.13.1 Dust Networks 371

5.13.2 Dust Networks Self-Powered IPV6 Wireless Sensor Network 372

5.13.3 Dust Networks Applications 373

5.13.4 Linear Technology Revenue 374

5.13.5 Linear Technology Acquisitions 374

5.13.6 Linear Technology Products 375

5.13.7 Linear Technology 376

5.14 Lord 377

5.14.1 Lord Combining Multiple Sensors 378

5.14.2 Lord MicroStrain® Sensing Systems Quality & Innovation 379

5.14.3 Lord Revenue 379

5.15 Microsemi Corporation 379

5.15.1 Microsemi Customers 382

5.15.2 Microsemi Revenue 384

5.15.3 Microsemi / Zarlink Semiconductor 404

5.16 Millennial Net 404

5.17 Mitsubishi Electric 414

5.18 Northrop Grumman 415

5.18.1 Northrop Grumman Smart Grid 416

5.18.2 Northrop Grumman 417

5.18.3 Northrop Grumman Corp (NOC.N) Spinning Off Or Selling Its Shipbuilding Business 418

5.18.4 Northrop Grumman Remotec Robots 418

5.18.5 Northrop Grumman Opens New Facilities for Design and Manufacture of Unmanned Ground Vehicles in Coventry 419

5.18.6 Northrop Grumman Business Sectors: 421

5.18.7 Northrop Grumman Aerospace Systems 424

5.19 OMRON 426

5.19.1 Omron Revenue 426

5.20 Renesas 428

5.20.1 Renesas Electronics Partners and Customers 431

5.21 Rockwell Automation 452

5.21.1 Rockwell Automation Acquires vMonitor 452

5.21.2 Rockwell Automation / Vmonitor Wireless Sensors 453

5.22 Schneider Electric 453

5.22.1 Schneider Electric 454

5.22.2 Schneider Electric Vision Smart Grid: 454

5.22.3 Schneider Electric Triggers of the Smart Grid 456

5.22.4 Schneider Electric Revenue 458

5.22.5 Smart Grid: Schneider Electric Vision 459

5.22.6 Schneider Electric Triggers of the Smart Grid 460

5.22.7 Schneider Electric / Invensys 461

5.22.8 Schneider Electric / Invensys Revenue 464

5.22.9 Schneider Electric / Invensys Offer From Schneider Electric S.A 464

5.23 Semtech 464

5.23.1 Semtech / Gennum 465

5.23.2 Semtech / Cycleo SAS 466

5.23.3 Semtech Revenue 466

5.24 Sensata Technologies 466

5.24.1 Sensata Technologies Acquires Wabash Technologies 467

5.24.2 Sensata Technologies Revenue 467

5.25 Silicon Labs 468

5.25.1 Silicon Laboratories Energy Harvesting Applications 470

5.25.2 Silicon Laboratories Products 473

5.26 Texas Instruments 477

5.26.1 Texas Instruments Revenue 477

5.27 Zigbee Standard 477

5.27.1 ZigBee Gateway 478

5.28 Z-wave 480

5.29 Wireless Sensor Network WSN Selected Company List 483

WINTERGREEN RESEARCH, 489

WinterGreen Research Methodology 490

 

List of Tables and Figures

 

Table ES-1 31

Wireless Sensor Networking Market Driving Forces 31

Table ES-2 33

Wireless Sensor Networking Technology Uses 33

Table ES-3 34

Wireless Sensor Networks Market Factors 34

Figure ES-4 36

Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 36

Figure ES-5 38

Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 38

Figure 1-1 40

Wireless Sensor Network Market Segments 40

Figure 1-2 41

Global Spectrum Allocation 41

Figure 1-3 43

4G Deployment Aspects 43

Table 1-4 43

Types of Wireless Sensor Networks (WSN) 43

Table 1-5 46

Characteristics Of A Wireless Sensor Network (WSN) 46

Table 1-6 51

Wireless Sensor Network Data Center Benefits: 51

Table 1-7 51

Wireless Sensor Network Data Center Functions: 51

Table 1-8 52

Wireless Sensor Network Data Center Features 52

Table 1-9 53

Wireless Sensor Network Data Center Challenges: 53

Table 1-10 54

Wireless Sensor Network Applications and Benefits 54

Table 2-1 56

Wireless Sensor Networking Market Driving Forces 56

Table 2-2 58

Wireless Sensor Networking Technology Uses 58

Table 2-3 59

Wireless Sensor Networks Market Factors 59

Figure 2-4 61

Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 61

Table 2-5 62

Semiconductor Wireless Sensor Network Market Shares, Dollars, 2013 62

Figure 2-6 68

Semiconductor Wireless Sensor Network Shipments, Market Forecasts Dollars, Worldwide, 2014-2020 68

Table 2-7 69

Semiconductor Wireless Sensor Networks Market Forecasts, Worldwide, 2014-2020 70

Table 2-8 70

Semiconductor Wireless Sensor Network Market Segments, Dollars, Worldwide, 2014-2020 71

Table 2-9 72

Semiconductor Wireless Sensor Network Market Segments, Percent, Worldwide, 2014-2020 72

Table 2-10 73

Semiconductor Wireless Sensor Network Market Forecasts, Dollars and Units,

Worldwide, 2014-2020 73

Figure 2-11 74

Semiconductor Wireless Sensor Networking Bridges / Process Shipments Market Forecasts,

Dollars, Worldwide, 2014-2020 74

Figure 2-12 75

Smart Commercial Building Semiconductor Wireless Sensor Networks Shipments

Market Forecasts, Worldwide, Dollars, 2014-2020 76

Figure 2-13 77

Semiconductor Wireless Sensor Networks Security Shipments Market Forecasts,

Dollars, Worldwide, 2014-2020 77

Figure 2-14 79

Aircraft and Tank Level Monitoring Wireless Sensor Networks Shipments, Market Forecasts,

Worldwide, 2014-2020 79

Figure 2-15 81

Homes / Physical Presence Semiconductor Wireless Sensor Networks Shipments

Market Forecasts, Dollars, Worldwide, 2014-2020 81

Figure 2-16 82

Data Center, Smart Substation, and Smart Grid Meter Wireless Sensor Networks

Market Forecasts Dollars, Worldwide, 2014-2020 82

Table 2-17 84

OEM Wireless Sensor Network Embedded Product Market Shares Dollars, Worldwide, 2013 84

Figure 2-18 88

Wireless Sensor Networks Generate Zettabytes of Data 88

Figure 2-19 91

Wireless Sensor Network Regional Market Segments, 2013 91

Table 2-20 93

Wireless Sensor Network Regional Market Segments, 2013 93

Figure 3-1 95

Renesas Electronics Wireless Sensor Network Semiconductors 95

Figure 3-2 96

Renesas Electronics Semiconductor Smart Building Solutions For Key

Embedded System Applications 96

Figure 3-3 100

Renesas Wireless Sensor Network Semiconductor Technical Capabilities 100

Table 3-4 103

Renesas Addresses Semiconductor Rapid Pace Of Change 103

Table 3-5 104

Renesas Wireless Sensor Network Technologies 104

Figure 3-6 104

Renesas Analog Front End Brings The Sensor and Microcontroller Together 104

Table 3-7 106

Renesas Smart Analog Technology Benefits 106

Figure 3-8 107

Renesas Smart Analog Technology 107

Figure 3-9 108

Renesas Reduces Overall Design Lead Time 108

Figure 3-10 109

Renesas Low-power, Small Footprint Hardware Platform 109

Table 3-11 110

Renesas Smart Analog Technology 110

Figure 3-12 110

Renesas Practical Example of Field Programmability (Light Sensor) 111

111

Figure 3-13 112

Renesas Applications for BAN in Healthcare, Automotive, Commerce And Security 112

Figure 3-14 114

Renesas Visible Light Communication Techniques 115

Table 3-15 117

Renesas Common Automotive Technologies 117

Table 3-16 120

Selected Renesas Automotive Wireless Sensor Network Components 120

Table 3-16 (Continued) 121

Selected Renesas Automotive Wireless Sensor Network Components 122

Figure 3-17 124

Linear Technology Application Areas 124

Table 3-18 126

Linear Technology / Dust Networks Benefits of Wireless Sensor Networks, (WSN) For Data Center Energy Management: 126

Figure 3-19 127

Linear Technology / Dust Networks Wireless Sensor Network Mission Critical Operations 128

Figure 3-20 128

Linear Technology / Dust Networks Wireless Sensor Network Target Markets 128

Figure 3-21 129

Linear Technology / Dust Networks LTC 129

Table 3-22 132

Dust Networks Portfolio Of Standards-Based Products 132

Table 3-23 134

Dust Networks Eterna Features 134

Table 3-24 135

Dust Networks Dynamic Network Optimization Functions 135

Figure 3-25 136

Linear Technology / Dust Networks SmartMesh IP Solution 136

Figure 3-26 138

Libelium Waspmote Wireless Sensor Network Platform 138

Figure 3-27 139

Libelium Night Vision Mode 139

Table 3-28 141

Libelium Video Camera Sensor Nodes Key Features: 141

Figure 3-29 143

Libelium Wireless Sensor Networks 143

Table 3-30 146

Libelium Waspmote and Meshlium Configurations: 146

Table 3-31 148

Microsemi Commercial Aviation Solutions 148

Figur3-32 151

Microsemi Wireless Sensor Networks 151

Table 3-33 153

Silicon Labs Wireless Sensor Network Applications 153

Figure 3-34 154

Silicon Labs OSI Model 154

Figure 3-35 156

Silicon Labs OSI Model 156

Table 3-36 158

Silicon Labs Wireless Sensor Network WSNs Benefits 158

Figure 3-37 159

Silicon Laboratories Energy Harvesting Components 159

Figure 3-38 160

Silicon Laboratories 160

Figure 3-39 166

MEMSIC Wireless Sensor Network Technology 166

Figure 3-40 168

Wireless Sensor Networks Smarter Planet systems approach Savings 168

Figure 3-41 169

IBM Smarter Planet Initiatives 169

Figure 3-42 172

IBM Mote Runner Challenges Addressed 172

Figure 3-43 173

IBM Mote Runner Challenges Advantages 173

Figure 3-44 176

Libelium Waspmote Wireless Sensor Network Platform 176

Figure 3-45 178

Libelium Waspmote Wireless Sensor Platform Components 178

Table 3-46 184

IBM® Operational Decision Manager 184

Table 3-47 186

Cisco Wireless Sensor Networks Uses 186

Figure 3-48 189

Microsemi Corporation Supports Siemens 189

Table 3-49 193

Siemens Spectrum Power IMM Key Benefits 193

Figure 3-50 194

Siemens Spectrum Power IMM 195

Table 3-51 200

Boeing Energy Harvesting Development Programs Functions 200

Figure 3-52 201

Boeing Wireless Sensor Aircraft Applications 201

Figure 3-53 203

Broadband Energy Harvester (Boeing ) 203

Figure 3-54 204

Broadband Wireless Sensor Network (Boeing ) 204

Figure 3-55 210

EnOcean Middleware For Energy Harvesting 210

Figure 3-56 214

EnOcean ECO 200 - Motion Energy Harvesting 214

Table 3-57 215

EnOcean ECO 200 - Motion Energy Harvesting 215

Figure 3-58 216

EnOcean ECO 100 - Motion Energy Harvesting 216

Table 3-59 217

EnOcean Energy Harvesting Motion Converter 217

Table 3-60 217

EnOcean ECT 310 Perpetuum 217

Table 3-61 218

EnOcean Thermo Converter 218

Table 3-62 219

EnOcean Energy Converters For Energy Harvesting Wireless Applications 219

Figure 3-63 221

EnOcean-Enabled Wireless Sensor Networks 221

Table 3-64 227

EnOcean Alliance Energy Harvesting Solutions Advantages 227

Table 3-65 229

EnOcean Energy Harvesting Sources 229

Figure 3-66 230

EnOcean Energy Harvesting Wireless Sensor Technology 230

Figure 3-67 231

EnOcean Energy Harvesting Wireless Sensor Devices 231

Figure 3-68 235

Schneider Electric Energy Harvesting 235

Figure 3-69 237

Texas Instruments Smart Grid Solutions 237

Figure 3-70 238

Texas Instruments Semiconductor Wireless Sensor Networks Markets 238

Figure 3-71 240

Texas Instruments Industrial Communications Automation Networks 240

Table 3-72 242

Silicon Labs Solutions For Energy Harvesting Applications 242

Table 3-73 243

Silicon Labs Solutions For Energy Harvesting Solutions 243

Table 3-74 244

Silicon Labs Solutions For Energy Harvesting Systems 244

Figure 3-75 247

Silicon Laboratories Wireless Sensor Node Power Cycle 247

Figure 3-76 251

Silicon Labs Solutions For Energy Harvesting Systems 251

Figure 4-1 259

Libelium Video Camera Sensors 259

Fiigure 4-2 260

Libelium Security Device Takes Pictures In Total Darkness 260

Table 4-3 261

Libelium Security Device Key Features: 261

Table 4-4 262

Libelium Night Vision Key Features: 262

Figure 4-5 263

Libelium Waspmote Technology 263

Table 4-6 265

Wireless Sensor Networking Technology Benefits 265

Table 4-7 267

Millennial Net Wireless Sensor Networking Protocol Responsive Functions 267

Table 4-8 268

Millennial Net Wireless Sensor Networking Protocol Reliability Functions 268

Table 4-9 269

Millennial Net Wireless Sensor Networking Protocol Power Efficient Functions 269

Table 4-10 270

Millennial Net Wireless Sensor Networking Protocol Functions 270

Figure 4-11 271

Wireless Sensor Network Architecture 271

Figure 4-12 273

Wireless Autonomous Transducer electrocardiogram Solution 273

Table 4-13 284

Wireless Sensor Networking Technology Uses 284

Table 4-14 285

Wireless Sensor Networking E-Enabled Airplane Benefits 285

Table 4-15 286

Wireless Sensor Networking E-Enabled Airplane Functions 286

Figure 4-16 287

Security Of Wireless Sensor Network Enabled Airplane Health Monitoring 287

Figure 4-17 291

LXRS® Wireless Protocol 291

Figure 4-18 292

WirelessHART (IEC62591) 292

Table 5-1 303

Analog Devices Target Markets 303

Figure 5-2 307

Dialog's short range wireless technology 307

Figure 5-3 315

Fujitsu Core Technologies for Advanced ICT, 2013 and 2023 315

Figure 5-4 316

Fujitsu Focus on Innovation 316

Table 5-5 329

Honeywell Energy-Harvesting Sensing and Control 329

Table 5-6 355

IDT Product Set 355

Figure 5-7 357

Invensys Software and Industrial Automation Target Markets 357

Figure 5-8 358

Invensys Energy Controls and Appliance Target Markets 358

Figure 5-9 361

Libelium Waspmote Open-Source Wireless Sensor Platform 361

Figure 5-10 362

Libelium Customers 362

Figure 5-11 363

Libelium as Internet of Things Platform Provider 363

Figure 5-12 365

Libelium Vehicle Platform Allows Real Time Systems For Monitoring Traffic 365

Figure 5-13 368

Libelium Wireless Sensor Network Vehicle Platform 368

Figure 5-14 370

Libelium Awards 370

Figure 5-15 380

Microsemi Revenue and Positioning 381

Figure 5-16 382

Microsemi Customers 382

Figure 5-17 383

Microsemi Market Focus 383

Figure 5-18 385

Microsemi Communications Market 385

Figure 5-19 387

Microsemi World Class Timing 387

Figure 5-20 388

Microsemi Aerospace Market 388

Figure 5-21 389

Microsemi Aerospace Annual Deliveries 389

Figure 5-22 390

Microsemi World Class Avionics 390

Figure 5-23 391

Microsemi World Class Satellite Launches 391

Figure 5-24 392

Microsemi World Class Satellite Solutions 393

Figure 5-25 393

Microsemi Corporation View of Growth Drivers in Space 394

Figure 5-26 395

Microsemi Defense and Security Market 395

Figure 5-27 396

Microsemi Key Defense and Security Market Drivers 396

Figure 5-28 397

Microsemi World Class Industrial Espionage and National Security Positioning 397

Figure 5-29 398

Microsemi Defense and Security Market TAM & SAM 398

Figure 5-30 399

Microsemi World Class Satellite Launches 399

Figure 5-31 400

Microsemi Industrial Market Subsegment Growth Rates 400

Figure 5-32 401

Microsemi Industrial Deployment Examples 401

Figure 5-33 402

Microsemi Industrial Market Customers 402

Figure 5-34 403

Microsemi Defense and Security Market 403

Figure 5-35 404

Millennial Net Customers 404

Table 5-36 429

Renesas Electronics Product Categories 429

Figure 5-37 429

Renesas Positioning As Trustworthy Partner Able To Meet Customer Needs Worldwide 429

Figure 5-38 431

Renesas Electronics Partners and Customers 431

Figure 5-39 444

Renesas Revenue Summary 444

Figure 5-40 444

Renesas Quarterly Revenue Summary 444

Figure 5-41 446

Renesas Semiconductor Revenue Summary 446

Figure 5-42 447

Renesas Trends in Revenue Summary 447

Figure 5-43 448

Renesas Major Factors Affecting Semiconductor Sales Summary 448

Figure 5-44 449

Renesas Revenue Segment Summary 449

Figure 5-45 450

Renesas Segment and Subsegment Revenue Summary 450

Figure 5-46 451

Renesas Major Factors Affecting Semiconductor Revenue Summary 451

Figure 5-47 455

Schneider Energy Value Chain: 455

Table 5-48 457

Schneider Electric Triggers Innovation For the Smart Grid 457

Figure 5-49 458

Schneider Electric Revenue 458

Figure 5-50 459

Schneider Energy Value Chain 459

Table 5-51 461

Schneider Electric Triggers of the Smart Grid 461

Figure 5-52 462

Invensys Software and Industrial Automation Target Markets 462

Figure 5-53 462

Invensys Energy Controls and Appliance Target Markets 463

Figure 5-54 467

Sensata Technologies Revenue Mix 467

Figure 5-55 471

Silicon Laboratories Revenue 471

Table 5-56 474

Silicon Laboratories Product Functions 474

Table 5-57 475

Silicon Laboratories Product Areas and Description 475

Figure 5-58 479

Zigbee Selected Alliance Members 479

Table 5-59 481

Z-Wave device Benefits 481

Table 5-60 482

Z-Wave Home Control Functions 482

 

 

Read the full report:

Semiconductor Wireless Sensor Internet of Things (IoT): Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020

http://www.reportbuyer.com/computing_electronics/manufacturing/semiconductor_wireless_sensor_internet_things_iot_market_shares_strategies_forecasts_worldwide_2014_2020.html

For more information:

Sarah Smith

Research Advisor at Reportbuyer.com

Email: [email protected]

Tel: +44 208 816 85 48

Website: www.reportbuyer.com

 

 

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@ThingsExpo Stories
SYS-CON Events announced today that SOA Software, an API management leader, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. SOA Software is a leading provider of API Management and SOA Governance products that equip business to deliver APIs and SOA together to drive their company to meet its business strategy quickly and effectively. SOA Software’s technology helps businesses to accelerate their digital channels with APIs, drive partner adoption, monetize their assets, and achieve a...
SYS-CON Events announced today that Aria Systems, the recurring revenue expert, has been named "Bronze Sponsor" of SYS-CON's 15th International Cloud Expo®, which will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Aria Systems helps leading businesses connect their customers with the products and services they love. Industry leaders like Pitney Bowes, Experian, AAA NCNU, VMware, HootSuite and many others choose Aria to power their recurring revenue business and deliver exceptional experiences to their customers.
SYS-CON Events announced today that AgilePoint, the leading provider of Microsoft-centric Business Process Management software, will exhibit at SYS-CON's 2nd International @ThingsExpo which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. AgilePoint is the leading provider of Microsoft-based Business Process Management (BPM) software products, has 1,300+ on-premise and cloud deployments in 25+ countries and provides the same advanced BPM feature set as J2EE vendors like IBM and Appian for the Microsoft .NET native environment. AgilePoint customer...
The Internet of Things (IoT) promises to evolve the way the world does business; however, understanding how to apply it to your company can be a mystery. Most people struggle with understanding the potential business uses or tend to get caught up in the technology, resulting in solutions that fail to meet even minimum business goals. In his session at Internet of @ThingsExpo, Jesse Shiah, CEO / President / Co-Founder of AgilePoint Inc., will show what is needed to leverage the IoT to transform your business. He will discuss opportunities and challenges ahead for the IoT from a market and tec...
SYS-CON Events announced today that Utimaco will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Utimaco is a leading manufacturer of hardware based security solutions that provide the root of trust to keep cryptographic keys safe, secure critical digital infrastructures and protect high value data assets. Only Utimaco delivers a general-purpose hardware security module (HSM) as a customizable platform to easily integrate into existing software solutions, embed business logic and build s...
One of the biggest challenges when developing connected devices is identifying user value and delivering it through successful user experiences. In his session at Internet of @ThingsExpo, Mike Kuniavsky, Principal Scientist, Innovation Services at PARC, will describe an IoT-specific approach to user experience design that combines approaches from interaction design, industrial design and service design to create experiences that go beyond simple connected gadgets to create lasting, multi-device experiences grounded in people’s real needs and desires.
SYS-CON Events announced today that TeleStax, the main sponsor of Mobicents, will exhibit at Internet of @ThingsExpo, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. TeleStax provides Open Source Communications software and services that facilitate the shift from legacy SS7 based IN networks to IP based LTE and IMS networks hosted on private (on-premise), hybrid or public clouds. TeleStax products include Restcomm, JSLEE, SMSC Gateway, USSD Gateway, SS7 Resource Adaptors, SIP Servlets, Rich Multimedia Services, Presence Services/RCS, Diame...
Samsung VP Jacopo Lenzi, who headed the company's recent SmartThings acquisition under the auspices of Samsung's Open Innovaction Center (OIC), answered a few questions we had about the deal. This interview was in conjunction with our interview with SmartThings CEO Alex Hawkinson. IoT Journal: SmartThings was developed in an open, standards-agnostic platform, and will now be part of Samsung's Open Innovation Center. Can you elaborate on your commitment to keep the platform open? Jacopo Lenzi: Samsung recognizes that true, accelerated innovation cannot be driven from one source, but requires a...
The Internet of Things will greatly expand the opportunities for data collection and new business models driven off of that data. In her session at Internet of @ThingsExpo, Esmeralda Swartz, CMO of MetraTech, will discuss how for this to be effective you not only need to have infrastructure and operational models capable of utilizing this new phenomenon, but increasingly service providers will need to convince a skeptical public to participate. Get ready to show them the money! Speaker Bio: Esmeralda Swartz, CMO of MetraTech, has spent 16 years as a marketing, product management, and busin...
Things are being built upon cloud foundations to transform organizations. This CEO Power Panel at 15th Cloud Expo, moderated by Roger Strukhoff, Cloud Expo and @ThingsExpo conference chair, will address the big issues involving these technologies and, more important, the results they will achieve. How important are public, private, and hybrid cloud to the enterprise? How does one define Big Data? And how is the IoT tying all this together?
We certainly live in interesting technological times. And no more interesting than the current competing IoT standards for connectivity. Various standards bodies, approaches, and ecosystems are vying for mindshare and positioning for a competitive edge. It is clear that when the dust settles, we will have new protocols, evolved protocols, that will change the way we interact with devices and infrastructure. We will also have evolved web protocols, like HTTP/2, that will be changing the very core of our infrastructures. At the same time, we have old approaches made new again like micro-services...
SYS-CON Events announces a new pavilion on the Cloud Expo floor where WebRTC converges with the Internet of Things. Pavilion will showcase WebRTC and the Internet of Things. The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago. All major researchers estimate there will be tens of billions devices--computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.
The only place to be June 9-11 is Cloud Expo & @ThingsExpo 2015 East at the Javits Center in New York City. Join us there as delegates from all over the world come to listen to and engage with speakers & sponsors from the leading Cloud Computing, IoT & Big Data companies. Cloud Expo & @ThingsExpo are the leading events covering the booming market of Cloud Computing, IoT & Big Data for the enterprise. Speakers from all over the world will be hand-picked for their ability to explore the economic strategies that utility/cloud computing provides. Whether public, private, or in a hybrid form, clo...
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridsto...
SYS-CON Events announced today that Red Hat, the world's leading provider of open source solutions, will exhibit at Internet of @ThingsExpo, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Red Hat is the world's leading provider of open source software solutions, using a community-powered approach to reliable and high-performing cloud, Linux, middleware, storage and virtualization technologies. Red Hat also offers award-winning support, training, and consulting services. As the connective hub in a global network of enterprises, partners, a...
As the Internet of Things unfolds, mobile and wearable devices are blurring the line between physical and digital, integrating ever more closely with our interests, our routines, our daily lives. Contextual computing and smart, sensor-equipped spaces bring the potential to walk through a world that recognizes us and responds accordingly. We become continuous transmitters and receivers of data. In his session at Internet of @ThingsExpo, Andrew Bolwell, Director of Innovation for HP’s Printing and Personal Systems Group, will discuss how key attributes of mobile technology – touch input, senso...
The Internet of Things (IoT) is making everything it touches smarter – smart devices, smart cars and smart cities. And lucky us, we’re just beginning to reap the benefits as we work toward a networked society. However, this technology-driven innovation is impacting more than just individuals. The IoT has an environmental impact as well, which brings us to the theme of this month’s #IoTuesday Twitter chat. The ability to remove inefficiencies through connected objects is driving change throughout every sector, including waste management. BigBelly Solar, located just outside of Boston, is trans...
Connected devices and the Internet of Things are getting significant momentum in 2014. In his session at Internet of @ThingsExpo, Jim Hunter, Chief Scientist & Technology Evangelist at Greenwave Systems, will examine three key elements that together will drive mass adoption of the IoT before the end of 2015. The first element is the recent advent of robust open source protocols (like AllJoyn and WebRTC) that facilitate M2M communication. The second is broad availability of flexible, cost-effective storage designed to handle the massive surge in back-end data in a world where timely analytics...
Internet of @ThingsExpo Silicon Valley announced on Thursday its first 12 all-star speakers and sessions for its upcoming event, which will take place November 4-6, 2014, at the Santa Clara Convention Center in California. @ThingsExpo, the first and largest IoT event in the world, debuted at the Javits Center in New York City in June 10-12, 2014 with over 6,000 delegates attending the conference. Among the first 12 announced world class speakers, IBM will present two highly popular IoT sessions, which will take place November 4-6, 2014 at the Santa Clara Convention Center in Santa Clara, Calif...
From a software development perspective IoT is about programming "things," about connecting them with each other or integrating them with existing applications. In his session at @ThingsExpo, Yakov Fain, co-founder of Farata Systems and SuranceBay, will show you how small IoT-enabled devices from multiple manufacturers can be integrated into the workflow of an enterprise application. This is a practical demo of building a framework and components in HTML/Java/Mobile technologies to serve as a platform that can integrate new devices as they become available on the market.