INDEX

IoT Data Traffic: Application and Market Analysis

The essential part of any IoT application is the data that is collected by the sensors and then communicated over a network. This addition of connectivity provides an additional insight into both the operation and performance of all aspects of the sensor system. The ability to review the information in real-time and advances in analytic techniques are increasing the value of the data tremendously. With advantages in such areas as preventive maintenance, security, cost savings, and new value-added services, these insights are driving the revolution of the internet of things across business operations at all levels.

The available bandwidth of any network is a critical and finite resource. Communications traffic messages consume the available bandwidth, and the prime contributor in an IoT system is the originating sensor node. Therefore, it is crucial to anticipate the data requirements expected for the key vertical markets for each application. This report provides quantitate overviews of 23 vertical markets with additional insights on the data requirement, key drivers and use case scenarios. The 23 vertical markets have been grouped under three super segments:

Telematics and industrial

  • Fleet management
  • OEM telematics
  • Aftermarket telematics
  • Heavy transport vehicles and equipment
  • Usage-based insurance
  • Asset tracking
  • Condition-based monitoring/maintenance
  • Inventory management

Smart cities and infrastructure

  • Smart metering
  • Smart grid
  • Water and gas meters
  • Smart street lighting
  • Smart parking
  • Other smart cities applications

Retail, home, and other applications

  • Point-of-sale (POS)
  • Digital signage
  • Vending
  • Home monitoring
  • Home security and automation
  • Home appliances
  • Patient monitoring
  • People and animal tracking
  • Connected agriculture

The report concludes with forecast assessments and outlines of the key drivers for each segment over the next 5 years.

Table of Contents

  • 1. INTRODUCTION TO IOT DATA CONSUMPTION
    • 1.1. Data Source: Sensors, Actuators, Diagnostic
    • 1.2. Local Analytics or Edge Compute Resources
    • 1.3. Report Definitions
    • 1.4. Edge Devices: Mostly Sleepy Nodes
    • 1.5. Data Packet Structure and Redundant Receivers
    • 1.6. IoT Application Data Requirements
    • 1.7. Example: Data Consumption by a Smart Door Lock
  • 2. DRIVERS AND INHIBITORS FOR IOT DATA CONSUMPTION
    • 2.1. Provenance
    • 2.2. Preventive Maintenance
    • 2.3. Network Pings
    • 2.4. GPS Location
    • 2.5. Node Identification
    • 2.6. Software Updates
    • 2.7. Sensor Fusion
  • 3. IOT DATA CONSUMPTION AND FORECASTS
    • 3.1. Methodology
    • 3.2. Recent Trends and observations
    • 3.3. Application Segmentation
    • 3.4. Market Forecast for IoT Data Consumption: Telematics and Industrial
    • 3.5. Market Forecast for IoT Data Consumption: Smart Cities and Infrastructure
    • 3.6. Market Forecast for IoT Data Consumption: Retail and Home