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Three app development trends to watch in 2018 and beyond

Posted By: Jason

With all modern technology, new developments and advancements in mobile tech and app development are coming thick and fast, with no signs of abating. So, to help keep you track, here is a breakdown of just three of these key contemporary trends in app development for 2018/19.

Biometric identification:

Possibly the most James Bond-esque development in mobile phone technology in the last few years, the proliferation of fingerprint scanners and now the iPhone X's Face ID security system adds an invaluable level of security to mobile phones - a form of identification you can never lose, have stolen or be replicated. It also allows for faster and more secure payments, for instance iTunes allows a fast payment with a recognised fingerprint, bypassing the slower and more laborious password and card payment systems of previous generation apps. Biometric identification, on applicable phones, could be a useful feature for your business application to allow customers instant access to their accounts and ultra-fast payments.

Android Instant App:

This feature on the Google Play Store, announced to the public in August 2017, is, in essence, a 'try before you buy' function for Android users allowing them to trial the full functionality of an app without downloading it. Google Play Store, with its rather more laissez-faire approach to curating apps published on the storefront (developers are only required to pay a one-off $25 fee), this may be a welcome development for users to easily discern a quality product from some of the more 'unique' content available. This could be a real boon for business, as the likelihood of a user trying out an unknown app is greatly increased, and with a slick and usable app based on the Magento platform, so is the likelihood of winning them over.

Artificial Intelligence:

Once a staple of high-concept science fiction, AI is trickling down into every-day technology and it may have a real place in smartphone tech as well. Machine learning could be utilised in apps to learn a user’s preferences and patterns to provide an intently personalised but adaptable user experience, whilst more sophisticated voice controls could allow much hands-free functionality and faster procedures.