In a recent report, Gartner has highlighted the top ten IoT (Internet of Things) technologies that companies should be aware of over the next two years.
“The IoT demands an extensive range of new technologies and skills that many organizations have yet to master,” says Nick Jones, vice president and distinguished analyst at Gartner.
“A recurring theme in the IoT space is the immaturity of technologies and services and of the vendors providing them. Architecting for this immaturity and managing the risk it creates will be a key challenge for organizations exploiting the IoT. In many technology areas, lack of skills will also pose significant challenges.”
This range of new IoT technologies will have a vast impact on business strategy, risk management and technical areas such as architecture and network design.
Top IoT technologies for the next two years
IoT presents new security threats and challenges. Security technologies will therefore be necessary to guard IoT devices and platforms.
IoT requires new analytic tools and algorithms, but the needs of IoT may deviate from traditional analytics as the as data volumes rise through 2021.
IoT Device (Thing) Management
“Things” will need tools that are capable of monitoring and managing thousands, and perhaps even millions of devices.
Low-Power, Short-Range IoT Networks
Low-power, short-range networks will lead wireless IoT connectivity through 2025, surpassing connections using wide area IoT networks.
Low-Power, Wide Area Networks (LPWANs)
LPWANs focus on delivering low data rates, a good battery life and low operational costs.
When it comes to choosing a processor there are trade-offs between features, costs and upgradability. Profound technical skills are therefore needed to understand the repercussions of processor choices.
IoT Operating Systems
Traditional operating systems (OSs) were not designed for IoT applications and a range of IoT-specific operating systems has been developed to cater for different needs.
Event Stream Processing
Distributed stream computing platforms (DSCPs) have developed as a result of the need to do a real-time analysis of high data rates generated by IoT applications.
The services provided by IoT platforms fall into three categories: low-level device control and operations; IoT data acquisition, transformation and management; and IoT application development.
IoT Standards and Ecosystems
Ecosystems and standards aren’t strictly technologies but sooner or later most become application programming interfaces (APIs).