Top IoT App Development Trends in 2021
More Focus on Container Technologies in IoT Platforms
Gartner plans to use containerized applications by 2022 by more than 75 percent of global organizations. To date, container technology has been an integral part of traditional IT and cloud architectural environments. Recent developments in industrial IoT platforms and increasing demand for supplier-neutral IoT technologies have however made the Internet of Things ever more important for containers.
What is a container? The virtualization technology is lightweight and comprises a whole runtime environment. This means an application with all its dependencies, plus the libraries and settings files that you need to run the app. Container technologies help you to briefly identify differences in OS and underlying infrastructure. That’s why they often come in IoT platforms so that you can connect to any device and make almost any legacy machine or piece of IoT-ready equipment.
Container isolation is becoming increasingly important as the rate of changes and updates in applications increases. Because modules are totally independent and only interact through well-defined APIs, they can be updated with your environment without affecting them.
Empowering AI Processes at the Edge
Contains also facilitate edge computing, since they are an essential part of edge AI-enabled processes. Machine learning models and AI models can be trained and deployed on edge devices with individual containers. In addition, the software on the edge has to be updated regularly. IoT platforms have enabled containerized cloud workloads to be managed and carried out.
Enabling Better Security and App Management
Dividing functionalities between containers enables individual updates not affecting other applications to be executed. This also means that users from an IoT platform can assign various privileges, from an admin to a single player, to various containers. This improves security and ensures asset integrity.
Developers can develop their containerized development and deployment environments on an IoT platform. You can code and test it in production environments before deploying your IoT apps. Container technology is virtually a success for IoT app development. Developers can easily manage IoT apps, regardless of the number of devices or location on their devices.
More Power to the Developer Role
Developers are usually focused on rapid innovation and security improvement. They commit code, release, and update addictions. But developers have become more vocal on their part in the process of IoT development. Their role keeps evolving as individual contributors become more visible. Features of the IoT platform, such as the IoT app store, allow developers to showcase their work. Developers can place their IoT apps directly in the IoT platform on marketplaces.
This enables developers working on IoT platforms to form their platforms where they have their own IoT apps and App templates to share and market. As a turn, IoT platforms are increasingly conscious of the key role of developers in the IoT process and are increasingly focused on development, emphasizing community construction, knowledge sharing, and IoT collaboration.
A Greater Role for IoT in Mobile App Development
More attention will be paid to big data strategies for capturing and storing IoT data and apps for processing the large amount of data collected from IoT devices. Machine learning models packaged as IoT applications are becoming increasingly popular at the IoT edge. The combination of large data, IoT, and AI enable developers to automate and simplify trivial tasks and thus help industries, cars, logistics, and retail businesses to improve their operations.
More IoT Apps for Predictive Maintenance in Smart Homes
IoT is the standard in industrial manufacturing for predictive maintenance. Now the consumer segment has a higher rate of predictive maintenance apps. Smart home ecosystems are being strengthened and optimized even more. They will inform users of mobile app faults, predict performance shortcomings, and send alerts when maintenance controls are necessary. IoT and AI-enabled home care services will be fully self-controlled, making human presence unavoidable during repairs or maintenance checks.
More IoT Apps for Anomaly Detection in Industrial Manufacturing
At the same time, manufacturers will increase their ability to analyze data to improve their detection of anomalies. The ML algorithms will, in turn, be packed in mobile IoT applications and roll out in production facilities worldwide. In this way, manufacturers can trace unwanted conduct and anticipate anomalies in equipment performance or process management so that they can react to it from anywhere.
IoT apps optimized for real-time and near real-time monitoring are already making it possible to track asset conditions across the globe from within a single venue (think IIoT platforms), truly paving the way towards a future of full automation.