Sensors and Intelligent End-point Devices in IoT: Market Analysis and Forecast 2016 - 2021

Published: June 2016
Pages: 98

Single-user License: $ 1,995 USD
Team License (Up to 5 Users): $ 2,995 USD
Company-wide License: $ 4,995 USD

Keywords: Sensors, Actuators, Presence Detection, Embedded, Internet of Things, IoT, Industrial IoT, IIoT, RFID, ZigBee, WSN, Wireless Sensor Network, Connected World, Sensor Components, Sensor Data, Industrial Applications, Smart Manufacturing, Industrie 4.0, Sensor Fusion, Intelligent Sensors, Intelligent IoT Endpoints, Fog Computing, Distributed Computing


Sensors are used 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.

Through 2021, business investments in sensors will shift to Manufacturing, Oil and Gas, Sports and Fitness, Transport and Cargo and Utility due to increased confidence in using IoT and sensors for various purposes including industry automation, tracking and measuring events on real time basis, and remotely controlling things.

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

The reader of this report will better understand the role of sensors in the Internet of Things (IoT) as well as their relationship to Intelligent Endpoints. The reader will also understand how edge computing is affecting IoT and how data management and Big Data technologies are impacted. The impact on data infrastructure and analytics is also covered. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Key Findings:

  • Sensors deployed in IIoT will comprise 64% of total sensors used in IoT
  • EMEA will outpace the market with demand of 18.8 billion smart sensors in 2021 with a CAGR of 51.7%.
  • North America ranks second in buying smart sensors with 16.4 billion units by 2021 with a CAGR of 50.1%
  • The overall market in APAC for smart sensors will grow to 7.9 billion smart sensors with a CAGR of 54.8%

Target Audience:

  • MEMS suppliers
  • 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

Table of Contents:

1 Introduction
1.1 Scope
1.2 Target Audience
1.3 Companies in Report
2 Executive Summary
3 Overview
3.1 Sensors are the Key Enablers for IoT
3.2 Role of Sensors in IoT
3.3 Smart Sensors and Intelligent Endpoints
3.3.1 Intelligence at the Edge of the Network
3.3.2 Key Differentiations of Smart Sensors
3.4 High Potential Smart Sensor Applications
3.4.1 Smart Home
3.4.2 Smart Buildings and Enterprise Automation
3.4.3 Smart Cities
3.4.4 Smart Manufacturing
3.4.5 Smart Industrial Processes
4 Sensor Technology and Developments
4.1 Architecture of Conventional Sensor
4.2 Smart Sensor Architecture
4.2.1 Transducer Electronic Data Sheets (TEDS)
4.2.2 Smart Transducer Interface Module and Network Capable Application Processor
4.3 Wireless Sensor Networks (WSN)
4.3.1 Sensor Nodes
4.3.2 WSN Topologies
4.3.3 Applications and Challenges
4.4 Virtual / Soft Sensors, Multi-sensing, and Sensor Fusion
4.5 Role of WSN and Sensor Fusion in IoT
4.5.1 IoT Protocols used in WSN ZigBee Alliance Z-Wave Alliance Insteon Digital Living Network Alliance (DLNA) Thread
4.6 Sensor Analytics
4.6.1 Data Visualization
4.6.2 Data Infrastructure Issues
4.6.3 Sensor and Intelligent Endpoint Analytics
5 Sensors and Intelligent Endpoint Outlook and Forecasts
5.1 Smart Sensors Demand 2016 - 2021
5.2 Intelligent Automation a Key Market Driver for Smart Sensors
5.3 Demand for Sensors by Industry Category 2016 - 2021
5.4 EMEA to Lead the Regional Markets for IoT Sensors through 2021
6 Future of Sensors in IoT
6.1 Sensor Data Management and IoT Security/Privacy
6.1.1 Sensor Data Management
6.1.2 Sensors and IoT Services and Infrastructure Mediation
6.2 Roadmap to One Trillion Sensors
6.2.1 Opportunity for Sensor Manufacturers
6.2.2 Demand for Short Range Sensors to Realize Brisk Growth
6.2.3 Opportunity for Systems-on-Chip (SoC) Fabricators
6.2.4 Use of IPV6 brings New Opportunities from Massive Connectivity
7 Companies and Solutions
7.1 365 Agile Limited (365 Agile Group Plc)
7.2 Ambiq Micro
7.3 B+B SmartWorx
7.4 Bosch Connected Devices and Solutions GmbH (BCDS)
7.5 Digi International
7.6 Fairchild Semiconductors International
7.7 LeddarTech Inc.
7.8 Nanjing IoT Sensor Technology Co., Ltd.
7.9 NYCE Sensors Inc.
7.10 Open Sensors Ltd.
7.11 Sensata Technologies
7.12 Seraphim Sense Ltd.
7.13 Silicon Laboratories, Inc.
7.14 Texas Instruments Inc.
7.15 Worldsensing
7.16 Wovyn LLC.


FIGURE 1: Fog Computing in IoT
FIGURE 2: Fog Computing and Managing Intelligent Endpoint Data
FIGURE 3: Elements of Traditional Sensor
FIGURE 4: Elements of Smart Sensor
FIGURE 5: Smart Sensor Model
FIGURE 6: Smart Sensor Model with Functional Partitioning
FIGURE 7: Sensor Node Components
FIGURE 8: Wireless Sensor Network Topologies
FIGURE 9: Sensor and Intelligent Endpoint Analytics
FIGURE 10: Global IoT Markets 2016 - 2021
FIGURE 11: Global Opportunity Forecast for Development of Smart Sensors 2016 - 2021
FIGURE 12: Markets for Smart Sensors by IoT Type 2016 - 2021
FIGURE 13: Markets for Sensor by Industry Category 2015 and 2020 (%)
FIGURE 14: Demand for Sensor by Industry Category 2015 and 2020 (%)
FIGURE 15: Markets for IoT Smart Sensors by Region 2016 - 2021
FIGURE 16: IoT Infrastructure, Platform, and Software Mediation
FIGURE 17: Phase One: Limited IoT Data Sharing without Formalized Mediation
FIGURE 18: Phase Two: IoT Data Sharing between Limited Industries
FIGURE 19: Phase Two: Broadly shared IoT Data across Industries and between Competitors


TABLE 1: Overview of TEDs
TABLE 2: Global IoT Markets 2016 - 2021
TABLE 3: Global Opportunity Forecast for Development of Smart Sensors 2016 - 2021
TABLE 4: Markets for Smart Sensors by IoT Type 2016 - 2021
TABLE 5: Markets for Smart Sensors by Industry Sector 2016 - 2021
TABLE 6: Markets for IoT Smart Sensors by Region 2016 - 2021