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M2M, IoT & IoE

IoT Data Exchange Services

The future IoT ecosystem is set to bring forth a myriad of new technologies, devices, and communication protocols fighting for dominance, as established and new vendor entrants attempt to get a bigger slice of the market. This realization is bound to be followed by an explosion of data and analytics, much of which we are already experiencing but still have difficulty taking advantage of its full potential. IoT Data Exchange Services investigates how the realization of IoT data services may come to fruition. From the dynamics of data ownership and sharing, as well as technical challenges that need to be overcome, to opportunities for future data marketplaces and vendor archetypes; this report examines this next evolutionary step for the emerging IoT ecosystem.

Table of Contents

  • 1. THE EVER-EXPANDING IOT GOLDMINE
    • 1.1. Market Outlook and Industry-Specific Look: Which Markets will Adopt IoT Data Sharing?
    • 1.2. The Industrial Side of IoT Data Sharing: a Chance to Improve Worldwide Operations
    • 1.3. Data Treasure Trove: Telco Companies
  • 2. IS THE MARKET READY FOR THE DATA EXCHANGE SHIFT?
    • 2.1. To Sell or Not to Sell?
    • 2.2. Why Share Data? Opportunities and Future Potential
    • 2.3. Barriers and Challenges
      • 2.3.1. Compliance Requirements, Legal and Regulatory Issues
      • 2.3.2. Potential Loss of Competitive Edge
      • 2.3.3. Consumer/Client Data Protection
      • 2.3.4. Intellectual Property Protection
      • 2.3.5. Industry-Specific Standardization Issues
      • 2.3.6. Cloud Security Architecture
      • 2.3.7. Framework Instability
    • 2.4. Five Concepts Describing IoT Data
      • 2.4.1. Nature
      • 2.4.2. Structure
      • 2.4.3. Size
      • 2.4.4. Relevancy
      • 2.4.5. Breadth
  • 3. THE DYNAMICS OF DATA OWNERSHIP AND DATA SHARING
    • 3.1. Omni-Protocol Support, Encryption, Client-Server Interactions
      • 3.1.1. Company
      • 3.1.2. Storage
      • 3.1.3. Back-End Server
    • 3.2. Big Data HDFS versus Stratified and Manageable RDBMS
    • 3.3. Data Anonymization and Four Principles of IoT Data Exchange
    • 3.4. The Internet of Proprietary Things and the Creation of Collective Intelligence
      • 3.4.1. Robotics
      • 3.4.2. "Smarter" ML
      • 3.4.3. "Personal" IoT
      • 3.4.4. Bridge Vertical Gaps Faster than Ever Before
    • 3.5. Vendor Archetypes and Industry Blueprint
    • 3.6. Will Cloud Services Evolve to Meet the Challenge?
    • 3.7. Concluding Statement

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Research Information

  • Price Log in to view pricing
  • Publish Date 2Q 2017
  • Research Type Application Analysis Report
  • Code AN-2415
  • Pages 24
  • Tables 1
  • Figures 4
  • File Format PDF

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