Forecast: IoT Data Storage Capacity, 2013-2020


Published: 12 July 2016 ID: G00299079

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Summary

There will be massive potential for data generation in 2020, with 21 billion endpoints estimated to be in use; however, only a fraction of this data will actually be retained and stored. This research provides insight into the amount of data to be stored for strategic planners of storage vendors.

Table of Contents

  • Forecast Data
  • Analysis
    • IoT Data Generation and Storage Versus HDD and SSD Capacity
    • Discrete Versus Multimedia Importance
    • Vertical Trends
  • Assumptions
    • Data Generation Rate (GB/Unit/Month)
      • Onboard Memory
      • Operational/Control Characteristics
      • Sensor Content (Type/Number)
    • Percentage of Data Retained
      • Regulatory Environment
      • Industry Practices
      • Communications Infrastructure Availability/Cost
      • Storage Cost Declines
    • Storage Overhead (Metadata and Processed Data)
      • Ambient Condition Monitoring
      • Data/Use-Case Complexity
      • Correlation Analysis Potential
      • Degree of Distributed Processing
    • Data Retention Period
      • Useful Data Lifetime
  • Methodology
    • Endpoint Forecast and Installed Base
    • Model Parameters
      • Data Generation Rate
      • Percentage of Data Retained
      • Storage Overhead
      • Data Retention Period
    • Influencing Factors
      • Onboard Memory
      • Operational/Control Characteristics
      • Sensor Content (Type/Number)
      • Regulatory Environment
      • Industry Practices
      • Communications Infrastructure Availability/Cost
      • Storage Cost Declines
      • Degree of Distributed Processing
      • Ambient Condition Monitoring
      • Data/Use-Case Complexity
      • Correlation Analysis Potential
      • Useful Data Lifetime
  • Gartner Recommended Reading
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