Top 14 IoT Mobile App Development Trends to Expect in 2020
- September 17, 2019
- Posted by: Vikram
- Category: Technology
What is IOT?
IoT or the Internet of Things is the buzzword in this era of absolute digitization. IoT promises to revolutionize everything in the world of technology. Industries have already been affected by IoT, with major changes and modernization occurring in healthcare, e-commerce, production lines as well as lifestyle sectors. IoT is extremely crucial for businesses as it helps achieve a great level of customer service.
In order to make the deployment of IoT simple and fast, there has been a need for programming software applications that facilitate the use of IoT and similar interfaces.The growth of IoT is predicted to double till 2021. This means that IoT will be a trendsetter in mobile application development as well as in other software development. Conforming with these predictions, every sector has seen trends in the development of applications of IoT on a wide scale.
Another reason to expect IoT to lead the app development trends is that the number of IoT connected devices is expected to triple by 2025. Most of these devices will be smartphones, and mobile applications will have a key role in sustaining and operating such a wide network of devices.
Here are some of the most important future IoT app development trends.
A well-connected network of devices can be relied upon to produce massive amounts of data. This data is an extremely important tool for businesses as well as researchers. The data can be used by corporations in taking marketing and strategy decisions. For example, the data generated by e-commerce applications and CRM tools can provide insights into consumer trends. This data is also useful for training artificial intelligence models. Therefore organization of this data and to convert it to comprehensible formats is of utmost importance. Applications specifically made for the purpose of organizing and analyzing data will gain importance. Thus app development will become data-driven.
Machine learning applications
Machine learning is one of the fastest-growing revolutionary technology today. It enhances the autonomy of machines, allowing for tasks to be carried out with negligible human interference. IoT depends on machine learning to increase its efficiency and accuracy. Machine learning can diversify the inputs to the IoT. Machine learning has facilitated the creation of chatbots, voice bots and other autonomous means of communication. Such interactions with humans can be used to train machine learning models and in turn be used to program IoT networks. Integrating machine learning with IoT will improve the connectivity of the IoT with humans and better the consumer experience.
Consumer-centric industrial applications
Consumer-centric IoT applications are gaining weight with many large corporations. Consumer-centric applications place the consumer in a position of great importance. Such applications are chiefly aimed at improving consumer experiences as well as ensuring consumer well being. Such applications are used by businesses to increase employee satisfaction and thereby increase productivity. These applications are also reaching out directly to consumers and are aimed at making daily lives simpler. A great example of a consumer-centric application is home automation. These applications also have a role in smart city initiatives and energy-efficient systems. These applications have already been put to use in many countries and industries.
Augmented and virtual reality
Augmented reality and virtual reality are some of the cutting edge technologies in the market that have a great future. Both of these technologies is currently under development. With the progress f these technologies in the right direction, they can be integrated with IoT. This will allow us to achieve new heights of automation. Devices connected by the internet of things can be used to deliver immersive experiences autonomously. Such technology has widespread applications in business management and marketing sectors. Entrepreneurs will be able to provide cheap but effective marketing campaigns for their consumers, which can prove to be highly beneficial to budding enterprises.
Personalized user experiences
Devices connected by the Internet of things produce a huge amount of data, some of which are user-generated. This data can be used by machine learning models in order to train themselves. It can also be used by businesses to build targeted marketing campaigns. This ensures the user a highly personalized experience. Machine learning models can also learn from app data. This means that whenever the user uses the IoT application, the data gathered can be used to give an even more personalized experience. This is a rising trend in app development as it proves to be highly beneficial to businesses because it creates an effective marketing campaign efficiently.
Improved application security
A huge problem with IoT is the comparative ease with which it can be hacked. As devices are connected to the internet of things, cyber security threats can cause much damage. Therefore it is crucial to ensure the absolute security of IoT applications. This has gained even more relevance today when cybercrimes are becoming highly specialized. Developing security measures for IoT enabled devices and applications has become a lucrative business in itself. Many firms have made it their primary focus to develop security features for their own applications as well as those of other companies. Thus the trends of developing security for applications are likely to stay strong as IoT remains at the forefront of technology.
Increase in development efficiency
A lesser-known benefit of IoT is the autonomy that it provides to the software development sector. It is responsible for automating many of the mundane and repetitive tasks faced by programmers and developers. IoT ensures that the overall time required for the development of software and applications is greatly reduced. This allows for an efficient workflow and an effortless development of applications. This, in turn, ensures much greater productivity on the part of app developers. Developers can focus on other tasks that lead to the overall development of the business as well as innovation.
Development of chatbots
Although a part of the machine learning initiative, chatbots deserve a special mention. Chatbots have revolutionized the call center industry. They have made client interactions a lot better and cheaper. The chatbots have a great role to play in the development of IoT applications. The inputs from these chatbots can serve as inputs for the IoT connected devices, leading to much shorter response times. These can also be used to train machine learning models which in turn can be used to ensure the smooth and autonomous operation of the IoT connected devices. Thus powerful and efficient chatbots will definitely be a notable trend in IoT applications.
Tracking and monitoring apps
Tracking and monitoring applications are quite popular even today. These applications are a major source of data for the IoT connected autonomous devices. They collect user data which can be used for various purposes. This data can be used by IoT connected devices to provide a smooth user experience and to maximize the automation. For example, a location tracking application may allow you to switch on the air conditioning system in your house once you are within 500 meters of your house. Thus the efficiency and accuracy of tracking and monitoring apps will keep increasing with time along with their integration with the IoT.
Cloud space and management
The advent of cloud-based technologies has revolutionized the IT sector and the traditional infrastructure. The cloud has applications in the IoT as well. It can ensure better connectivity between devices. It can also ensure better connectivity of the consumer with businesses. The data gathered by IoT devices can be directly observed by businesses. This can lead to the development of businesses through better marketing campaigns. It can also lead to bête communication between businesses and consumers with the help of cloud security design principles, resulting in better user experience and efficient customer support.
Integration with cryptocurrency
Blockchain is perhaps the most underrated technology that promises to radically alter the world of financial institutions and businesses. One of the prime problems of blockchain is the enormous volume of data that it produces.IoT has proven itself to be excellent at managing and making use of data. Blockchain in turn, is extremely secure and transparent and thus will lend IoT systems an unprecedented level of security. Therefore a merger between the two technologies is something that certainly will occur, thereby creating great advantages in both technological streams.
Increase in application effectivity
Software applications, even after being released demand a large amount f work. It is necessary to upgrade them at regular intervals to ensure the utility and security. It is also necessary to ensure that these apps are compatible with the upgraded version of the operating systems asa well as the latest device infrastructures. IoT may reduce this job. As all devices will be interconnected, it would be possible to support an application from another device even if it is not compatible with your device.
Development of new languages
As IoT develops, it will cause all the supporting factors to evolve with it. The environments, coding practices, and languages will not remain the same. This means that developers will have to remain up to date with all developments to stay on top of the game. Also, as IoT evolves, it will create a requirement for specialised IoT developers. This will create a niche field that requires a specific skill set. Therefore, gainig new skills, knowledge of the latest trends will achieve great importance.
Integration of Artificial Intelligence
Artificial intelligence will chiefly contribute to making the automation achieved by IoT even more independent of human interference. AI is an excellent tool meant for analyzing and making decisions based on the analysis of large amounts of data. This can be well integrated into the IoT for better consumer experience.
These mobile application development trends will certainly prove helpful for everyone!