INDEX

Edge Analytics in IoT

Table of Contents

  • 1. INTRODUCTION TO EDGE ANALYTICS
    • 1.1. What Is Edge Analytics?
    • 1.2. Three Levels of IoT Intelligence
      • 1.2.1. Endpoint Intelligence
      • 1.2.2. Gateway Intelligence
      • 1.2.3. Cloud Intelligence
    • 1.3. Drivers and Inhibitors for Edge Analytics
      • 1.3.1. Drivers for Edge Analytics
      • 1.3.2. Drivers for Cloud Analytics
    • 1.4. Recent Trends and Observations
  • 2. MARKET FORECASTS FOR IOT DATA VOLUMES
    • 2.1. Methodology
    • 2.2. Application Segmentation
    • 2.3. Volume of Generated IoT Data
    • 2.4. Volume of Captured IoT Data
    • 2.5. Volume of Transmitted IoT Data
  • 3. VENDOR LANDSCAPE
    • 3.1. AGT International
    • 3.2. Bit Stew Systems
    • 3.3. Bright Wolf
    • 3.4. Camgian Microsystems
    • 3.5. Cisco
    • 3.6. CyberLightning
    • 3.7. Eurotech
    • 3.8. Falkonry
    • 3.9. Flowthings.io
    • 3.10. Intel
    • 3.11. Kepware Technologies
    • 3.12. OSIsoft
    • 3.13. Panduit
    • 3.14. ParStream
    • 3.15. PrismTech
    • 3.16. PTC (ThingWorx)
    • 3.17. Sight Machine

Tables

  1. Size of IoT Data Universe by Phase of Data, World Market, Forecast: 2014 to 2020
  2. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  3. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  4. Volume of Captured Sensor and Machine Data by Application Segment, World Market, Forecast: 2014 to 2020
  5. IoT Backhaul Data Traffic by Application Segment: Sensor and Machine Data (Baseline Scenario), World Market, Forecast: 2014 to 2020
  6. IoT Backhaul Data Traffic by Application Segment: Sensor and Machine Data (Disruptive Scenario), World Market, Forecast: 2014 to 2020
  7. Volume of Backhaul Data Traffic from Sensors and Machines by Technology (Baseline Scenario), World Market, Forecast: 2014 to 2020
  8. Volume of Backhaul Data Traffic from Sensors and Machines by Technology (Disruptive Scenario), World Market, Forecast: 2014 to 2020
  9. Volume of IoT Backhaul Data Traffic from Video and Images by Scenario, World Market, Forecast: 2014 to 2020
  10. Volume of IoT Backhaul Data Traffic from Video and Images by Technology (Baseline Scenario), World Market, Forecast: 2014 to 2020
  11. Volume of IoT Backhaul Data Traffic from Video and Images by Technology (Disruptive Scenario), World Market, Forecast: 2014 to 2020

Charts

  1. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  2. Volume of Captured IoT Data by Data Type, World Market, Forecast: 2014 to 2020
  3. Volume of IoT Backhaul Data Traffic from Sensors and Machines by Scenario, World Market, Forecast: 2014 to 2010
  4. Volume of IoT Backhaul Data Traffic from Video and Images by Scenario, World Market, Forecast: 2014 to 2020


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In ABI Research’s view, one of the most significant trends in the Internet of Things (or the connected world—the Internet of Everything—as a whole) is the shifting balance between edge computing and cloud computing. The early days of the IoT and its conceptual precursor, M2M, have been characterized by the critical role of cloud platforms as application enablers. Intelligent systems have largely relied on the cloud level for their intelligence, and the actual devices of which they consist have been relatively unsophisticated. This old premise is currently being shaken up, as the computing capabilities on the edge level advance faster than those of the cloud level. ABI Research refers to this trend as a paradigm shift—from the connected device paradigm to the intelligent device paradigm. This is, most of all, making the available architecture choices more nuanced and allowing organizations deploying the IoT to enhance their physical assets and processes in novel ways. Edge computing, also known as edge intelligence, is what is driving this shift. 

This study explores edge computing specifically as an analytic proposition: as an approach to analyze data close to its source instead of sending it to a remote server for cloud-level analysis. The report builds on ABI Research’s earlier work on IoT analytics, aiming to provide further insight and conceptual clarity on the role of the network edge in the IoT. Its first section summarizes the three levels of IoT intelligence, and provides commentary on the related drivers and inhibitors. Also, the most noteworthy market trends and observations are listed under this section. The second section, in the meantime, includes quantitative analyses of the "data universe" associated with the IoT: providing forecasts on the data volumes that are (a) generated, (b) captured, and (c) transmitted by connected devices. Finally, the report's third section serves as an overview of a number of technology vendors that are pioneering edge analytics with their products, services, and solutions.

Table of Contents

  • 1. INTRODUCTION TO EDGE ANALYTICS
    • 1.1. What Is Edge Analytics?
    • 1.2. Three Levels of IoT Intelligence
      • 1.2.1. Endpoint Intelligence
      • 1.2.2. Gateway Intelligence
      • 1.2.3. Cloud Intelligence
    • 1.3. Drivers and Inhibitors for Edge Analytics
      • 1.3.1. Drivers for Edge Analytics
      • 1.3.2. Drivers for Cloud Analytics
    • 1.4. Recent Trends and Observations
  • 2. MARKET FORECASTS FOR IOT DATA VOLUMES
    • 2.1. Methodology
    • 2.2. Application Segmentation
    • 2.3. Volume of Generated IoT Data
    • 2.4. Volume of Captured IoT Data
    • 2.5. Volume of Transmitted IoT Data
  • 3. VENDOR LANDSCAPE
    • 3.1. AGT International
    • 3.2. Bit Stew Systems
    • 3.3. Bright Wolf
    • 3.4. Camgian Microsystems
    • 3.5. Cisco
    • 3.6. CyberLightning
    • 3.7. Eurotech
    • 3.8. Falkonry
    • 3.9. Flowthings.io
    • 3.10. Intel
    • 3.11. Kepware Technologies
    • 3.12. OSIsoft
    • 3.13. Panduit
    • 3.14. ParStream
    • 3.15. PrismTech
    • 3.16. PTC (ThingWorx)
    • 3.17. Sight Machine

Tables

  1. Size of IoT Data Universe by Phase of Data, World Market, Forecast: 2014 to 2020
  2. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  3. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  4. Volume of Captured Sensor and Machine Data by Application Segment, World Market, Forecast: 2014 to 2020
  5. IoT Backhaul Data Traffic by Application Segment: Sensor and Machine Data (Baseline Scenario), World Market, Forecast: 2014 to 2020
  6. IoT Backhaul Data Traffic by Application Segment: Sensor and Machine Data (Disruptive Scenario), World Market, Forecast: 2014 to 2020
  7. Volume of Backhaul Data Traffic from Sensors and Machines by Technology (Baseline Scenario), World Market, Forecast: 2014 to 2020
  8. Volume of Backhaul Data Traffic from Sensors and Machines by Technology (Disruptive Scenario), World Market, Forecast: 2014 to 2020
  9. Volume of IoT Backhaul Data Traffic from Video and Images by Scenario, World Market, Forecast: 2014 to 2020
  10. Volume of IoT Backhaul Data Traffic from Video and Images by Technology (Baseline Scenario), World Market, Forecast: 2014 to 2020
  11. Volume of IoT Backhaul Data Traffic from Video and Images by Technology (Disruptive Scenario), World Market, Forecast: 2014 to 2020

Charts

  1. Volume of Generated IoT Data by Type of Data, World Market, Forecast: 2014 to 2020
  2. Volume of Captured IoT Data by Data Type, World Market, Forecast: 2014 to 2020
  3. Volume of IoT Backhaul Data Traffic from Sensors and Machines by Scenario, World Market, Forecast: 2014 to 2010
  4. Volume of IoT Backhaul Data Traffic from Video and Images by Scenario, World Market, Forecast: 2014 to 2020