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Introduction

2016 was a key year in the development of the IoT, and 2017 looks likely to be even more significant and more disruptive, for both technology players and the industries where IoT is being deployed.

Highlights

  • Licensed spectrum low-power wireless access (LPWA) technologies will see wider acceptance in 2017, following the standardization of several licensed spectrum LPWA technologies in 2016. 2017 will see the first commercial deployments of both NB-IoT and Cat M1 (LTE-M) by service providers.
  • Service providers will focus on diversifying their IoT connectivity options, and reaching out to developers, while analytics and security solutions for IoT will move to the "edge."
  • We expect significant developments related to usage-based and event-based charging, and the emergence of disruptive as-a-service models for a growing number of industries.

Features and Benefits

  • Identify the most important IoT trends to watch for 2017.
  • Understand key developments and strategies for LPWA, IoT analytics, and security.
  • Learn about service provider developer outreach plans, and about the evolution of transformational IoT business models.

Key questions answered

  • Which IoT trends will be the most important for service providers, vendors, and enterprises in 2017?
  • Which technology, strategy, and business model changes will have the greatest impact for my business?

Table of contents

Summary

  • In brief
  • Ovum view
  • Recommendations

Trend 1: LPWA gains traction and NB-IoT gains an early lead

  • LPWA network launches will start in earnest

Trend 2: Service provider IoT strategies – connectivity diversification and developer outreach

  • IoT market leaders among communications services providers gear up for the next phase of IoT growth
  • Connectivity technology diversification is becoming a core element of SP' IoT market strategies
  • Reaching out to the developer community is another key service provider IoT trend this year

Trend 3: IoT data value starts being realized through streaming and distributed analytics

  • IoT pushes demand for real-time streaming analytics to the fore
  • Data management and analytics will spread throughout the IoT and increasingly be found at the edge
  • Upgrading of data architectures must balance new capabilities with existing investments

Appendix

  • Methodology
  • Further reading
  • Author

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