Top 10 Internet Of Things Technology Trends Prediction for 2020 by Gartner

Gartner’s list of best technologies is going to be revolutionary in terms of enabling the organizations to unveil the utmost potential of the Internet of Things technology in the coming years. The list is comprised of a wide range of new technologies and proficiency that most organizations should master to stay in the game.

According to the Vice President and Distinguishing Analyst at Gartner, Architecting for technological immaturity and managing the risk that is created is going to be the core challenge for the organizations. Lack of skills is one of the major factors in regard to technical knowledge which can become extremely challenging.

To keep the quality and advancement intact in the products, the app development industry has introduced the best IoT technologies.

Let’s Get Acquainted with the List of Top 10 IoT Technology Trends for 2020

1 – Internet of Things - Security

IoT technology has introduced a wide variety of new security risks and challenges to a network. In this case, administrators will have to consider the devices on their own, their operating systems and platforms, communications and the systems to which they stay connected.

According to Gartner’s report, security technologies will be playing an integral role to protect IoT devices and platforms from both the aspects i.e. information attacks and physical tampering. These systems also work by encrypting the communications and to address the challenges like, impersonating ‘Things’ or denial-of-sleep attacks that drain batteries.

2 – Analytics

Most of the devices that we use to collect and send data to a centralized database. Now, organizations are slowly designing these massive data stores. Enterprises would want to commence the analysis of the data to detect the trends in consumer behavior, deliver services, improve products and also to identify the next thing which will have immense potential. IoT demands a new analytic approach, tools, and algorithms.

Gartner's report says that data volumes are certainly going to increase by 2021, and the requirement of IoT technology in app development may deviate further from conventional analytics.

3 – Device Management

Devices will need impeccable management and monitoring tools to ensure that they are easy to manage on large scale deployments. The process may iterate to keep the devices up to date with the modern firmware and security patches, also the errors that are detected in the logs and reporting on the failure rates or device data.

There is also a need for a leveled interoperability between diverse devices and services to allow the management and monitoring of thousands or millions of devices from a single point.

4 – Low-Power, Short-Range IoT Networks

Selecting a wireless network for IoT devices requires the altering of conflicting requirements like range, battery life, bandwidth, and cost. In the short term, low-power, short-range devices are going to dominate IoT’s connectivity at least up to 2025 which is far outnumbering the connections using wide-area IoT networks.

Commercial and technical trade-offs mean that it is going to be comprised of many solutions that will coexist with no single dominant winner in the vendor ecosystem.

5 – Low Power, Wide-Area Networks

IoT networks that require wide area coverage are currently limited to the conventional cellular networks which do not offer the best combination of the features and also the cost. These devices generally require battery life of up to 10 years, nationwide coverage and the ability to push data from the low KBps to high MBps which does not exist at present.

The first low-power wide-area networks (LPWANs) were based on proprietary technologies. Gartner’s report forestalls that emerging standards such as Narrowband IoT are going to dominate this space.

6 – IoT Processors

Gartner report predicts that low-end 8-bit microcontrollers are going to dominate the IoT through 2019 and shipments of 32-bit microcontrollers will take the lead at 8-bit devices by 2020. Well, this is an interesting fact that the report does not anticipate or see 16-bit processors ever achieving critical tasks. 

Hardware design for IoT has complicated trade-offs between the features, hardware cost, software cost, and software upgrade adaptability and understanding will surely demand in-depth technical skills.

7 – IoT Operating Systems

Existing operating systems like Linux, Windows, iOS, and Android were never designed to be able to work in generic IoT devices to suffice their faster processors requirements and large memory spaces.

This scenario added to the fact that processors designed for IoT devices will not be compatible which means that a range of bespoke for IoT operating systems is required to be developed.

8 – Event Stream Processing

Gartner's report foresees that some of the IoT applications will generate extremely high data rates that should be analyzed in real-time. Systems that create more than thousands of events per second are quite common, and millions of events per second can occur in some telecom and telemetry situations. To suffice these high-end requirements, distributed stream computing platforms have emerged.

9 – IoT Platforms

The platforms of the IoTs combine the vital parts of an IoT system into a single product. These platforms are apt to provide in three categories:

• Low-level device control and operations, for instance, communications, device monitoring, management, security, etc.
• Data acquisition, transformation, and management
• Internet of Things application development, for example, event-driven logic, programming of application, analytics and connectivity to the organizational systems.

10 – IoT Standards and Ecosystems

Ecosystems and standards ultimately advance as API’s. Standards and the API’s associated with them will be necessary due to the requirement for the devices to be able to communicate. There are many IoT business models that rely on data exchange.

Final Thoughts

It is predicted that numerous systems are going to emerge. For expensive devices and the devices that happen to gather personal and sensitive data need a different approach. In this case, you will get real readings to go through undistributed and also they will be private and accessible to authorized users. DIY IoT applications have many privacy and security issues around the device which also includes communication and data storage.

How you're going to fix the IoT issues? Well, the General Data Protection Regulation is going to cover most of the problems from data storage to devices.

It is important that the vendors of smart home equipment, health monitoring devices, and equivalent services shall realize their responsibility and the potential consequences. Taking care of the security and privacy of data is certainly required.