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M2M, IoT, Sensors, and Connected World: Market and Forecast 2015 – 2020

M2M, IoT, Sensors, and Connected World: Market and Forecast 2015 – 2020

Sensors are used in ICT for detection of changes in the physical and/or logical relationship of one object to another(s) and/or the environment. Physical changes may include temperature, light, pressure, sound, and motion. Logical changes include the presence/absence of an electronically traceable entity, location, and/or activity. Within an Internet of Things (IoT) context, physical and logical changes are equally important.

This report assesses the overall sensor marketplace for IoT, evaluates leading vendors, identifies key IoT functionality in support of sensors, and forecasts the market for sensor adoption and revenue. The report covers three key areas within the sensor ecosystem:

Sensors: H/W and S/W designed and Developed to Suit IoT deployments
Protocols: Designed and developed to drive Wireless Sensor Network (WSN) in IoT
Sensor Data: Through Sensor Fusion / Multi-sensing / Soft Sensors

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Target Audience:

Sensor companies
Internet of Things companies
Wireless device manufacturers
Wearable technology suppliers
Digital signal processor providers
Telephony infrastructure providers
Computer and semiconductor companies
Embedded hardware, software and OS providers
Mobile/wireless network operators and service providers
Next generation application developers and content providers
Consumer electronics merchandisers and application providers

Key Findings:

EMEA will lead the market 13.5 billion sensors in 2020 with a CAGR of 51.3%
North America ranks second with 9 billion units by 2020 with a CAGR of 46.6%
A key ecosystem function, IoT Mediation will evolve in three stages as assessed in the report
Most of sensors will be used in industrial applications followed by personal IoT, largely in the wearables category
IIoT will comprise 94% of the total IIoT business through 2020, representing a huge driver for various sensor-enabled industrial apps

Companies in Report:

365 Agile Limited (365 Agile Group Plc)
Ambiq Micro
B+B SmartWorx
Bosch Connected Devices and Solutions GmbH (BCDS)
Digi International
Digital Living Network Alliance (DLNA)
Fairchild Semiconductors International
LeddarTech Inc.
Nanjing IoT Sensor Technology Co., Ltd.
NYCE Sensors Inc.
Open Sensors Ltd.
Sensata Technologies
Seraphim Sense Ltd.
Silicon Laboratories, Inc.
Texas Instruments Inc.
Wovyn LLC.
ZigBee Alliance
Z-Wave Alliance

General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.

1 Introduction
1.1.1 Scope of Study
1.1.2 Intended Audience
1.1.3 Companies Mentioned in the Report
2 Executive Summary
3 Sensors in IoT Industry Assessment
3.1 Sensors: Technology and Developments
3.1.1 Smart Sensors
3.1.2 Transducer Electronic Data Sheets (TEDS)
3.1.3 Smart Transducer Interface Module and Network Capable Application Processor
3.2 Wireless Sensor Network (WSN)
3.2.1 Sensor Nodes
3.2.2 WSN Topologies
3.2.3 Applications and Challenges
3.3 Virtual / Soft Sensors, Multi-sensing, and Sensor Fusion
3.4 Internet of Things (IoT) and Connected World
3.4.1 Personal IoT (PIoT) / Consumer IoT Connected Home Entertainment Devices Connected Home Security and Monitoring Devices Connected Home Energy Conservation Devices Connected Home Utility Monitoring Devices Connected Car Wearables
3.4.2 Industrial IoT (IIoT) Smart Manufacturing Smart Utility Smart Tracking (Cargo and Transport) Smart Instrumentation in Oil and Gas Industry Smart Healthcare
3.5 Role of WSN and Sensor Fusion in IoT
3.5.1 IoT Protocols used in WSN ZigBee Alliance Z-Wave Alliance Insteon Digital Living Network Alliance (DLNA) Thread
3.6 Sensor Analytics
4 Markets for Sensors in Connected World 2015 - 2020
4.1 Demand for Sensors in IoT to reach to 30 Billion Units by 2020
4.2 Automation to be Market Leader
4.3 Demand for Sensors by Industry Category 2015 - 2020
4.4 IIoT to be Leading Sector for Sensor-related Business Revenue
4.5 EMEA to Lead the Market for IoT Sensors through 2020
5 Future of Sensors in IoT
5.1 Sensor Data Management and IoT Security/Privacy Management
5.1.1 Sensor Data Management
5.1.2 Sensors and IoT Services and Infrastructure Mediation
5.2 Roadmap to One Trillion Sensors
5.2.1 Opportunity for Sensor Manufacturers
5.2.2 Demand for Short Range Sensors to Realize Brisk Growth
5.2.3 Opportunity for Systems-on-Chip (SoC) Fabricators
5.2.4 Use of IPV6 brings New Opportunities from Massive Connectivity
6 Key Company Profiles
6.1 365 Agile Limited (365 Agile Group Plc)
6.2 Ambiq Micro
6.3 B+B SmartWorx
6.4 Bosch Connected Devices and Solutions GmbH (BCDS)
6.5 Digi International
6.6 Fairchild Semiconductors International
6.7 LeddarTech Inc.
6.8 Nanjing IoT Sensor Technology Co., Ltd.
6.9 NYCE Sensors Inc.
6.10 Open Sensors Ltd.
6.11 Sensata Technologies
6.12 Seraphim Sense Ltd.
6.13 Silicon Laboratories, Inc.
6.14 Texas Instruments Inc.
6.15 Worldsensing
6.16 Wovyn LLC.
Figure 1: Sensor Demand by Market segment
Figure 2: Elements of Traditional Sensor
Figure 3: Elements of Smart Sensor
Figure 4: Smart Sensor Model
Figure 5: Smart Sensor Model with Functional Partitioning
Figure 6: Components of Sensor Node
Figure 7: Wireless Sensor Network Topologies
Figure 8: Markets for Sensor by Industry Category 2015 and 2020 (%)
Figure 9: Demand for Sensor by Industry Category 2015 and 2020 (%)
Figure 10: Global IoT Markets 2015 - 2020 ($Billions)
Figure 11: Markets for Sensors by IoT Type 2015 – 2020 (Units Millions)
Figure 12: Markets for IoT Sensors by Region 2015 – 2020 (Units Millions)
Figure 13: Internet of Things Infrastructure, Platform, and Software Mediation
Figure 14: Phase One: Limited IoT Data Sharing without Formalized Mediation
Figure 15: Phase Two: IoT Data Sharing between Limited Industries
Figure 16: Phase Two: Broadly shared IoT Data across Industries and between Competitors
Table 1: Overview of TEDs
Table 2: Markets for Sensor by Industry Category 2015 - 2020 (Units Millions)
Table 3: Global IoT Markets 2015 - 2020 ($Billions)
Table 4: Markets for Sensors by IoT Type 2015 – 2020 (Units Millions)
Table 5: Markets for IoT Sensors by Region 2015 – 2020 (Units Millions)

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