Gartner published their Top 10 Internet of Things Technologies for 2017 & 2018 on February 23rd. Internet of Things (IoT) technologies are extending existing business models and leading to the creation of entirely new ones as companies push beyond the data, analytics and intelligence boundaries that held them back in the past. Homes are getting smarter and homeowners now have more ways than ever to know what is going on inside their own homes. Gartner’s recent analysis of the top 10 IoT technologies provides a glimpse into which areas of IoT that customers most care about from the standpoint of building out the security, scalability, standards, and performance.
Here are the key takeaways from Gartner’s top 10 Internet of Things technologies for 2017 and 2018:
- IoT Security – Some of the data being generated by all the new smart devices could include PII data or even worse, backdoors into internal networks. Remember, “Internet” of things, inherently means everything is connected, and thus if one application or device is compromised, then everything else on the same network could be as well.
- IoT Analytics – Data is everything. What good is a device if you cannot learn, optimize or act on the data that is generated by your IoT device?
- IoT Device Management – As some homes add more and more IoT devices to their homes, having a central hub to manage them all effectively will be paramount. In the future, all disparate IoT devices will need to work together, even more than they are required to do so now.
- Low Power Short-Range Networks – Selecting a wireless network for an IoT device involves balancing many conflicting requirements, such as range, battery life, bandwidth, density, endpoint cost and operational cost. Low-power, short-range networks will dominate wireless IoT connectivity through 2025, far outnumbering connections using wide-area IoT networks.
- Low Power Wide-Area Networks – Traditional cellular networks don’t deliver a good combination of technical features and operational cost for those IoT applications that need wide-area coverage combined with relatively low bandwidth, good battery life, low hardware and operating cost, and high connection density.
- IoT Processors – The processors and architectures used by IoT devices will define many of their capabilities, such as whether they are capable of strong security and encryption, low power consumption, whether they are sophisticated enough to support an OS and if they will allow their firmware to be updated and managed.
- IoT Operating Systems – The Windows and iOS operating systems were not meant to manage small IoT devices. They consume too much power, and have too much bloat needed for a device that only does one or two things really well. Consequently, a wide range of IoT-specific operating systems has been developed to suit many different hardware footprints and feature needs.
- Event Stream Processing – Some IoT applications will generate extremely high data rates that must be analyzed in real time. This data stream will need to be processed in realtime as many recent smart home devices are in the security genre.
- IoT Platforms – These end-to-end systems are already a big player in our industry, such as C3, Amazon and ThingPlus. However, all these systems are in their relative infancy, so there is still a lot of growth to be expected over the next few years.
- IoT Standards & Ecosystems – Although ecosystems and standards aren’t precisely technologies, most eventually materialize as application programming interfaces (APIs). Standards and their associated APIs will be essential because IoT devices will need to interoperate and communicate, and many IoT business models will rely on sharing data between multiple devices and organizations.