Apps on Apple’s iOS store made over $20 billion in revenues in 2016, a 40% rise in earnings over 2015. We expect to see a similar jump in iOS revenues this year, as more people buy iPhones and innovative technology induces people into paying for in-app features, subscriptions, and other purchases.

Technology is growing by leaps and bounds. Here are some leading-edge trends that will drive iOS app development in 2017:

iOS Based Enterprise Applications

Employees often bring their own devices (BYOD) to work. Organisations worldwide are taking note of this trend and are beginning to develop enterprise applications for iOS devices. This year, we’re going to a see a rise in the number of hybrid enterprise level applications – apps that boost productivity and can be accessed on several popular platforms, including iOS.

Coding with Swift

Swift was introduced back in December 2015. Already in its third iteration, Swift 3.0 is a great tool for developers looking to build custom iOS apps quickly and easily. The language allows even inexperienced developers to create powerful apps for not only mobiles but also for watchOS and tvOS.

Apple’s Beacon Technology

Apple’s iBeacon technology has been around for a while, but not many people are using it because it is infamous for draining the battery. We expect this to change in 2017. The technology, coupled with GPS sensors, will allow users to control IoT devices like lights, smart TVs, ACs, and cameras remotely with their phones.

Augmented Reality and Virtual Reality

Augmented Reality and Virtual Reality technology transports users to a 3D wonderland. Modern smartphones are advanced computers that have little trouble rendering these techniques. Consequently, many apps (especially gaming and utility apps) are providing a high-user experience to users by integrating these features in their interfaces.

Machine Learning Through AI

Artificial Intelligence is increasingly embedded in apps to provide users with a more personalised experience. Applications in 2017 will be capable of predicting a user’s next move, providing services based on a person’s mood and their location, as well as remembering preferences and providing personalised services.

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