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Artificial intelligence is the most demanding topic that is spoken about everywhere. AI is the ability of a system to think and learn from its experiences. The applications of artificial intelligence have significantly evolved over the past years and have been lending its support across industries now. AI when combined with machine learning and deep learning can do wonders in training large amounts of data to make the right decisions. And on the other side app development is also a progressive industry. Let's see the top 10 artificial intelligence app development trends in 2022 in this article.
Most of the mobile apps these days are based on AR and VR technologies that can renovate app development in 2022. With iPhone 9 and 10 launching, these trends have become even more dominant in the market. The well-liked social networking options like Instagram & Snapchat have also been updating their filters. This shows that both technologies AR and VR are going to lead the future.
IoT is the next advancement that is undoubtedly revolutionizing the mobile app development trend in the future. The combination of artificial intelligence and IoT can boost more innovations. The companies such as Dell and Cisco have already started to plan and invest in it. Even the giant company. Google is also collaborating with Nest, as the global market value of IoT is expected to reach 6.2 trillion by 20225.
Wearables are smart devices that are capable of detecting essential details related to intake pulse rate and calories. Such tech along with artificial intelligence can help people manage their health. To sustain in the market, the latest app developments are coming up to increase engagement with an app that can function without any support.
Since everyone wants to have a safe transaction, here comes blockchain technology which is a great solution for ensuring cybersecurity. If it is about app development then blockchain technology can create smart apps that do not need any third-party assistance. Blockchain technology along with artificial intelligence has been showing its significance in the sectors such as healthcare, banking, and government.
After the success of the 4G network, the 5G network is also about to enter the market. 5G is going to manage to gain over 100 million in the upcoming times. Like e-commerce, M-commerce is also equally getting high traction. M-commerce is independently responsible for generating 80% of e-commerce sales globally. It is improving every day and will impact the future.
Edge computing is known for the amalgamation of data storage and computing to its app's location. This technology helps in avoiding data delay issues cutting down a lot of costs in processing data locally. Nest is known for its IoT automation device manufacturer uses specific technology for cameras, security systems,etc.
Chatbots are the new introduction in the IT industry that are doing a fantastic job. It has found that the chatbot industry will generate revenue of over 1 billion dollars by 2025. Chatbots and artificial intelligence are going at the same pace to increase the interaction among the users and the business. The launch of cross-platform frameworks makes it possible to run an app on different OS. It allowed developers to use one source code everywhere. This saves the total development time. So, there is no wonder that cross-platform applications are going to be a mobile app development trend in 2022.
Beacons offers a personalized experience; it can help in engaging with a product when it is advertised using a beacon. Native apps that capitalize on beacon technology and integrate it seamlessly with the beacon signal in enhancing the interaction between the customer and the brand. Beacons can even be used for artificial intelligence and AR and mobile payments.
Speaking of a smart hub, phones are going to be the center of IoT-enabled devices using apps as a sort of an API. The technology can aid in the precautions taken to reduce the spread of COVID-19 especially for people who have to stay inside their homes. For households equipped with smart devices, a smart hub is ideal for controlling these devices without having to physically touch them by enabling voice assistant function instead.
Predictive analytics is used to personalize the products for each customer. It can make predictions of future events using available data, employing techniques like machine learning, statistics, and data mining. Artificial intelligence when combined with predictive analytics can be utilised in addressing major issues.
