IoT technologies have taken the world by storm, but their design, implementation, and deployment pose significant challenges which have to be taken care in the beginning to avoid complete failure of the system and collapse of the whole ecosystem. Gartner’s has released a list of Top 10 Internet of Things technologies 2017 & 2018 which can impact all IoT companies business propositions.
Top 10 Internet of Things technologies 2017 & 2018 According to Gartner
- IoT Security
- IoT Analytics
- IoT Device Management
- Low-power, short-range IoT Networks
- Low-power, Wide-Area Networks
- IoT Processors
- IoT Operating Systems
- Event Stream Processing
- IoT Platforms
- IoT Standards and Ecosystems
As per Gartner vice president and analyst, Nick Jones “IoT demands an extensive range of new technologies and skills that many organizations have yet to master. 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 IoT. In many technology areas, lack of skills will also pose significant challenges.”
Top 10 IoT technologies:
1. IoT Security
IoT security is a major domain which will have an impact as these technologies are required to protect IoT devices and platforms from physical tampering and information attacks that attempt to encrypt devices communications and to address new challenges such as the impersonation of ‘things’ or denial-of-sleep attacks that drain batteries. IoT security will be complicated by the fact that many ‘things’ use simple processors and operating systems may not support sophisticated security approaches.
Mr. Jones said, “New threats will emerge through 2021 as hackers find new ways to attack IoT devices and protocols, so long-lived ‘things’ may need updatable hardware and software to adapt during their lifespan.”
2. IoT Analytics
IoT business models will exploit the information collected by ‘things’ in various ways like attempting to understand customer behavior, to deliver services and intercept business moments. As data volumes increase through 2021, the needs of the IoT may diverge further from traditional analytics and new analytic tools and algorithms will be required.
3. IoT Device Management
Million of IoT “Things” will require tools capable of managing and monitoring them and generates thousands and perhaps even millions of devices. Management includes software updates, diagnostics, crash analysis and reporting, physical management and security management.
Long-lived nontrivial “things” will require management and monitoring. This includes device monitoring, firmware a