Published: Q4 2011

Analysts/Contributors:
Mareca Hatler
Darryl Gurganious

Pages: 75
(71 figures, 27 tables)

Table of Contents

ON World's Research:
* Leading industry experts
* Primary investigation
* Network simulations
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Smart Industries
Smart Buildings
Smart Energy Homes
Smart Energy Networks
Smart Metering/AMI
802.15.4 & ZigBee
Energy harvesting
Healthcare

Price:
$1499 (multi-user/corporate, includes PDF and PowerPoint presentation
$999 (single user, PDF)
$699 (PowerPoint)

Synopsis:

Within the next decade, devices connected to the Internet will eclipse their human users many times over. Smart objects are a special class of Internet connected devices that are self-aware, self-upgrading, communicate with other smart objects, and are massively scalable.

Since the completion of the 6LoWPAN specification, the transformation to the "Internet of Things" has been accelerating. A breakthrough came in the summer of 2011 with the advent of a new Web services model called CoAP, a routing protocol called RPL, and a cross-industry collaboration on using these protocols.

The migration to IP smart object networks is underway. This is demonstrated by the in-progress Smart Grid standards, IPv6 Smart Home platforms by Google and RWE, and a growing number of sensor network systems that communicate using IP.

A few examples include Smart Grid platforms by Cisco/Itron, Silver Spring and ERDF/Sagemcom; WiFi thermostats by 3M/Golden Power, Ecobee, Intwine and Nest Labs; IPv6 light bulbs by GreenWave Reality and Lighting Science Group; and an IP connected weight scale from Withings.

IP smart object development platforms are available from over a dozen suppliers including Atmel, Dust Networks (Linear), Ember, Freescale, GainSpan, Marvell, Maxim, Microchip, Nivis, NXP, Qualcomm Atheros, Sensinode, TI, Watteco, and ZMD.

Based on surveys and phone interviews with over 600 individuals, "IP Smart Object Networks" covers the global market opportunity for sensing and control networks that communicate using Internet Protocol (IP).

This report provides the following:

• Analysis of the IP smart object network value system and key Internet of Things initiatives.

• Drivers, inhibitors and adoption trends for the top seven smart object network markets.

• 10-year and 5-year market size forecasts on smart object markets and IPSONs.

• Survey results with >500 sensor network end users and industry experts.

• Evaluation of IP sensor network standards and smart object technologies.

• Network simulations to compare the power consumption, performance and interference impacts for smart object technologies including ZigBee, 802.15.4, 6LoWPAN, WiFi, Z-Wave and proprietary sub 1G radios.

ON World has been researching sensor networking and smart object technologies for over a decade and has published dozens of reports on these and related subjects.

Primary Research:

End Users
400+ managers and professionals in industrial automation, utilities/energy, building facility management, IT directors and custom installation

Vendors/Experts
100+ interviews with device manufacturers, software developers, component suppliers, government officials, and other industry experts

Free Executive Summary:
Send us an email with
"ipsons"
in the subject.

Executive Summary
The Future Internet
Adoption Trends
Scope/Methodology
The Internet of Things
IP Smart Object Networks
Migration to IP
The Race to Build a Smarter Grid
Wireless Sensor Networks
Definitions

The Market Opportunity
Market Segmentation
Smart Object Markets
Smart Object Network Units
Wired vs Wireless
IP Smart Object Network Devices
IP Smart Object Networks by Market
IPSON Target Markets & Applications
Smart Metering/AMI
Smart Homes
Home Energy Management
Health & Wellness
Buildings
Industrial & Others
Smart Cities
Emerging IPSON Markets
Wireless Lighting Controls
Plug-in Hybrid/Electric Vehicles
Solar Panel Monitoring
Automotive
Personal Sensors

Technology Dynamics
Using IP for Smart Objects
Lightweight IP Stacks
6LoWPAN
6LoWPAN Header Format
Routing for Constrained Smart Objects
Mesh-Under vs Route-Over
ROLL
RPL: A Standards Based IP Sensor Network Protocol
CoRE
CoAP
Message Queuing Telemetry Transport

Smart Object Network Technologies, Standards & Alliances
IEEE 802.15.4
IEEE802.15.4 Task Group 4G
IEEE 802.15.4 Task Group 4e
IPSO Alliance
European Telecommunications Standards Institute
ZigBee
ZigBee Smart Energy 2.0
Low Power WiFi
Bluetooth Low Energy
Z-Wave
ISA100.11a
WirelessHART
cosIP
HomePlug
HomeGrid Forum
IEEE 1901.2
Others
Intellectual Property Analysis
Awarded Patents by Company
IP Sensor Network Awarded Patents

Network Simulations
Simulation 1: Smart Homes
Set-Up
General Results
Power Battery
Comparisons
Performance
Simulation 2: Smart Buildings
Set-Up
General Results
Power Management
Performance
Scalability

Survey Results
WSN End User Perspectives
Respondents Overview
Need for Remote Data
Wireless Sensor Networks Adoption
Planning WSN
Inhibitors
Adoption Factors
Utility Survey
Vendor/Expert Viewpoints
Respondent Overview
Wireless Sensor Network Markets
Adoption Factors
Preferred WSN Technologies
IP Addressable Sensors
IP Benefits and Likely Adoption Rate
IP Sensor Adoption Drivers
IP Addressable Sensor Inhibitors
Opinions on the Cost & Power Impact

IP Smart Object Networks Value System
Smart Home Platforms & Products
Google's Android@Home
The Learning Thermostat by Nest Labs
Apple's Smart Home Vision
RWE's Smart Home System
Internet of Things Initiatives
HP's Central Nervous System of the Earth (CeNSE)
IBM's Smarter Planet
Cisco Smart+Connected Communities
S. Korea's Internet Protocol for Ubiquitous Sensor Networks (IP-USN)
Japan's Ubiquitous Computing Projects
Telenor's M2M Platform
Surveyed Companies


List of Figures

Figure 1: Global Smart Object Network Device Shipments (2010-2020)
Figure 2: Cumulative Internet Connected Devices in 2010, 2015 & 2020
Figure 3: End Users - Likelihood to Adopt IP Addressable Smart Objects
Figure 4: Internet of Things Market Dynamics
Figure 5: Future IP Network with Smart Objects
Figure 6: Total Potential Market Sizing for Smart Object Markets by Segment
Figure 7: Global Smart Object Network Units in 2010 & 2020 by Market
Figure 8: Global Smart Object Network Units by Market (2010-2020)
Figure 9: Global Smart Object Network Units, Wired vs Wireless (2009-2019)
Figure 10: Global Smart Object Network Units, IP vs Non IP (2010-2020)
Figure 11: Global IPSON Units by Market (2010-2020)
Figure 12: Most Targeted Smart Object Applications
Figure 13: Smart Object Markets by Weighted Drivers
Figure 14: Smart Meter Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 15: Global Annual Smart Metering Revenues (2010-2015)
Figure 16: Global Cumulative Electric AMI Meters With/Without HAN Gateways (2010-2015)
Figure 17: Smart Home Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 18: Global Home Energy Management Revenues (2010-2015)
Figure 19: Global Home Energy Mgmt Device Shipments (2010-2015)
Figure 20: Health/Wellness Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 21: Building Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 22: Industrial Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 23: Smart City Smart Object Network Units, IP vs Non-IP (2010-2020)
Figure 24: Global Wireless Lighting Smart Object Network Units (2010-2020)
Figure 25: Global PEV/PHEV Smart Object Network Units Moderate & Aggressive (2010-2020)
Figure 26: Global PV Smart Object Network Units, Moderate & Aggressive (2010-2020)
Figure 27: IP and 6LoWPAN Network Protocol Stacks
Figure 28: 6LoWPAN Header Format
Figure 29: Mesh-Under vs Route-Over IP Sensor Network
Figure 30: Smart Object Technologies
Figure 31: Leading IPv6 & WSN Patent Holders
Figure 32: IPv6 Awarded Patents by Keyword
Figure 33: Smart Home Simulation - Power per Node
Figure 34: Smart Home Simulation - Network Bits per Second
Figure 35: Smart Home Simulation - Battery Comparison, Radios Only
Figure 36: Smart Home Simulation - Battery Comparison, Radio and Motion Sensor
Figure 37: Smart Home Simulation - Network Throughput with WiFi Interference
Figure 38: Smart Home Simulation - System Throughput with WiFi Interference
Figure 39: Thermostat – Battery Life vs Network Nodes
Figure 40: Motion Sensor – Battery Life vs. Transmission Rate
Figure 41: Temp/Humidity for Data Centers - % Complete vs. Transmission Rate
Figure 42: Motion Sensor - % Complete vs Number of Interfering WiFi Radios
Figure 43: Thermostat – Transmission % Completed vs # Nodes
Figure 44: WSN Surveys - Respondents by Industry & Position
Figure 45: WSN Surveys - Need Access to Remote Data Not Currently Accessed?
Figure 46: WSN Surveys - Reasons for Not Automating
Figure 47: WSN Surveys - Using Wireless Sensor Network Technology Today?
Figure 48: WSN Surveys - Number of Installed Wireless Sensor Nodes
Figure 49: WSN Surveys - Planning (new) WSN Deployments w/in Next 18 Months?
Figure 50: WSN Surveys - Percent Planning WSN Applications by Market
Figure 51: WSN Surveys - WSN Inhibitors
Figure 52: WSN Surveys - WSN Adoption Considerations
Figure 53: Utility Survey – Likelihood to Use Public Networks for AMI
Figure 54: Utility Survey – Concerns about Public AMI Networks Ranked
Figure 55: Utility Survey - Preferred AMI Features
Figure 56: Expert Survey – Respondent's Company Type
Figure 57: Expert Survey – Geographical Region
Figure 58: Expert Survey - WSN Targeted Markets
Figure 59: Expert Survey - Current WSN Market Phase
Figure 60: Expert Survey - WSN Adoption Factors
Figure 61: Expert Survey - Preferred WSN Technologies
Figure 62: Expert Survey - IP Addressable Sensors Current Adoption Status
Figure 63: Expert Survey - Benefits of IP Addressable Sensors
Figure 64: Expert Survey – When Will IP Sensors Make Up the Majority of WSN?
Figure 65: Expert Survey – IP Addressable Sensors Adoption Drivers
Figure 66: Expert Survey – IP Addressable Sensors Adoption Inhibitors
Figure 67: Expert Survey – Power Impact of Using IP Addressable Sensors
Figure 68: Expert Survey – Cost Impact of Using IP Addressable Sensors
Figure 69: IP Smart Object Network Value System
Figure 70: RWE's Smart Home System
Figure 71: IP-USN System Architecture

List of Tables

Table 1: Global Smart Object Network Units, Wired vs Wireless (2010-2020)
Table 2: Global Smart Object Network Units, IP vs Non IP (2010-2020)
Table 3: Global IPSON Units by Market (2010-2020)
Table 4: Smart Meter Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 5: Global Annual Smart Metering Revenues (2010-2015)
Table 6: Global Cumulative Electric AMI Meters w/without HAN Gateways (2010-2015)
Table 7: Smart Home Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 8: Global Home Energy Management Revenues (2010-2015)
Table 9: Global Home Energy Mgmt Device Shipments (2010-2015)
Table 10: Health/Wellness Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 11: Building Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 12: Industrial Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 13: Smart City Smart Object Network Units, IP vs Non-IP (2010-2020)
Table 14: Global Wireless Lighting Smart Object Network Units (2010-2020)
Table 15: Global PEV/PHEV Smart Object Network Units Moderate & Aggressive (2010-2020)
Table 16: Global PV Smart Object Network Units, Moderate & Aggressive (2010-2020)
Table 17: ZigBee Summary
Table 18: WiFi LP Summary
Table 19: Bluetooth Low Energy Summary
Table 20: Z-Wave Summary
Table 21: ISA100.11a Summary
Table 22: WirelessHART Summary
Table 23: cosIP Summary
Table 24: HomePlug Summary
Table 25: HomeGrid Forum Summary
Table 26: IEEE 1901.2 Summary
Table 27: Additional Smart Object Network Technologies