Trends & Tech of Mobile App Development - Latest Updates

Available in this topic are the Trends & Trends of Mobile App Development 2020/2021 and even 2022. We mentioned the list of technology trends such as Blockchain, Chatbot, Internet of things, Augmented reality, Automation and Machine learning in Mobile app development.

Technological Trends of Mobile App Development 2020/2021: The development of mobile app is currently entering an innovative stage where the key attention is forwarded on developing new apps that can forecast consumer behaviour. These apps are expected to make intelligent decisions established on data collected from different online sources. It’s similar to Artificial Intelligence which we discussed in our previous post.

1. Applying Machine learning in mobile apps

As at the year two thousand and seventeen, everyone has been appreciative of the outcome of implementing Machine Learning into mobile applications. Since, then, remarkable improvement has been achieved in this particular part which in turn will encourage the development of other trends as described as you read on.

As a matter of fact, Machine Learning permits developers to code a computer program to recognize complex patterns (feelings, sounds, speech, events objects, etc). This is simply done by evaluating huge sum of data sets. It is then uses a special algorithm to make forecasts and intelligent decisions, or recommendations based on these data.

A good example is a medical software that utilizes machine learning (ML) to not only help in establishing the diagnosis, but can also offer a preferred treatment strategy.

In short, as for mobile solutions, Machine Learning unlocks a world of uncountable opportunities. These are some of the most common cases:

Suggestion engines: I will say that a lot of these is already in place, for example Foursquare, Tripadvisor or Pandora, but Machine Learning will definitely advance them more)
Forecasting apps: This can function in financial section, for example commercial mobile apps that can provide monetary advice or risk valuation.
Apps based on the computer vision: This category is very broad and cannot be discussed in a sentence; therefore you should read more about it in the next section).
Motion detection app: (for instance; surveillance systems for security purposes (to control robots).
Sound or speech recognition apps: We already have it in as default on mobile phones, tablet and computers. However, it is expected that we will witness the delivery of more apps offering simultaneous interpretation in the near future.
Virtual personal assistants; as we have seen in movies
Lie detection apps; used by security operatives
Gaming

As can be seen, the fast growth and widespread use of Machine Learning high-tech will be completely based on open source solutions (OSS), APIs and cloud services. From a technological point of view, the examples includes Google Cloud Prediction API or BigML, Amazon ML API. This will make them extensively available to start-ups & expanding businesses and companies of all types. Finally, keep in mind that machine learning is also used in Personal Shoppers Apps.

2. Adding Augmented Reality (AR) to mobile apps

What does AR do? In brief, augmented reality permits the addition of an edge of digital and virtual information to the environment. Inside augmented reality (AR) contains computer vision technology, a subfield of Machine Learning. This can go as far as recognizing an object against its background or in relation to other surrounding matters. Keep in mind that an application that makes use of computer vision can recognize a human face. Not to mention that they can also identify who this face belongs to: for example its age, race, gender etc.

In addition, computer vision technology is already being used in medical software development and apps, to assist in establishing a correct diagnosis. This is so because, it is necessary to match huge numbers of medical data, including medical imagery, scans etc.

In a like manner, we appreciate that fact that computer vision mobile applications can read written text on products, printed barcodes, identify vehicle license number plate, find specific faces in images and videos, identify landscape, etc. That being said, if you have intentions in creating mobile apps based on computer vision, you can check out Mobile Vision API offered by Google Company.

Augmented Reality VS Virtual Reality

You should be aware that augmented reality builds on top of computer vision technology. For example, the opposed virtual reality (VR), does not substitute the real life, but supplements it by combining it with the virtual edge of background information. My research on in jet fighters shows that a HUD (Heads-Up Display) is a classic example of augmented reality. It allows the pilot to directly aim their missiles better and remove the distraction of looking at the computer device. (Get more info from google.com)

Equally important, the augmented reality is great for creating interactive map connections, computer-generated showrooms that offers products in 3D images (furniture, clothes, and cars). Also, displaying real-time instructions, museums, theme parks, manuals or descriptions in retail malls, superstores etc.

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Augment – 3D Augmented Reality – an augmented reality mobile app for business.

Do you know that a mobile app that can aid as a virtual guide in an art museum is a typical example? It will work like this: if you point your device to a painting, detailed information about it show up in real time.

Another good example is an astronomy application such as Star Walk, which can recognize and show the users a layout of planets, stars and patterns when the user point their smartphone to the sky at night.

The prospective opportunity Augmented reality application is vast and includes construction and architecture, healthcare, education, retail, military, games and entertainment and modeling, as well as design.

To summarize, as for the VR, it’s behind in tech growth due to its heavy dependence on costly devices such as headsets and glasses which deter the extensive deployment of this high-tech.

3. PWAs – Progressive web apps

The PWA is another trend that will definitely reform mobile app development around the globe. The native app development has over the years dominated over cross-platform development as the key approach due to a number of benefits. They include; full access to the device’s operating system and hardware, high performance, and top-notch UX. Check the Advantages of Progressive Web Apps; Benefits & Features.

The dominance of native app development is apparently going to end anytime soon. Google iitseld introduced a new approach in the year 2015 for creating web applications called the Progressive Web Apps, (PWAs), and it has been quickly gaining attention among developers ever since.

After I did a research on PWAs, I found out that they are web apps that can offer a native-like UX. As a matter of fact, they function inside a web browser but can be added to a mobile device home screen like the usual native app. Furthermore, what they do is to take full advantage of the capabilities of current web browsers which become more and more powerful with each new upgrade and have extra access to the native APIs.

After all, the main advantage behind PWAs is that the developer does not need to publish them to any app stores, markets, no download required, no installation process etc., on mobile devices. All in all, they can be crawled and indexed by any search engines and can be seen on the internet just like normal websites.

4. Enterprise mobile apps

The enterprise mobile app has the capability to cooperate wirelessly with co-staffs, employers of labour or even the customers/clients using mobile devices. This exceptionally makes its one of the hottest industry trends for the years ahead. In the light of this, the Enterprise applications are wonderful tools for optimizing and managing business methods. For developers to be able to make use of these apps on mobile devices makes them very popular.

As time goes forward, it is sure that we will see more medium scale and even small startups that are interested in integrating enterprise mobility apps into their daily operations. The aim will be to increase productivity, profitability and to at a competitive advantage.

5. Wearable technology

In the first place, the market for wearable devices will continue to expand today and in year to come which means that there will also be a growing request for mobile apps integrated with these devices.

Truly speaking, wearable technology provides numerous business opportunities, especially for healthcare sector and sports. People are now attracted to smart wearable devices: watches, bracelets and even jewelry because of their ability to measure and analyze vital signs in real time.

All things considered, this is where Machine Learning will come perform – from detecting illnesses in the early stages or even making predictions and recommendations based on health indicators.

6. Location-based services

There are currently some apps that already has Location-based services (LBS), so it’s no longer a new trend in technology. The location based services allows individuals to find out things happening around their immediate environment in real time; such as news, events, deals, offers. Apps like Google Maps find places, addresses or other people, check traffic conditions, just like other apps can stock compare prices etc.

The LBS is a brilliant method for local business owners to advertise their good/products/services to targeted customers and in an effective manner. Eventually, utility services such as housekeeping, junk removal, veterinary services, plumbing, carpentry, electrical, etc. will profit from this trend.

A critical example of location based services is the House-Call, which a mobile app that assists people find local service experts in their neighborhood. Another example is the app called Bonshine – a car cleaning service, where car washers can easily locate different clients who needs car wash services within two hours.

The fact remains that the Location-based services will develop and become even more intelligent when it is joined with Machine Learning (ML) and Augmented Reality (AR).

7. Internet of Things (IoT)

As years goes by, more and more Internet of Things (IoT) interferes in our everyday lives. As we all know that we’ve seen several research in this area in previous years, but 2019/2020 must finally become the year of huge deployment and monetization of IoT systems, including both hardware and software.

Tech and electronics merchants are already providing thousands of home appliances that support IoT. They include smart household devices such as thermostats, light bulbs or baby monitors to smart trash cans in the streets or even smart concrete for the construction companies.

There are great opportunities for mobile app developers if they have the ability to integrate these appliances with mobile devices and exchange data between them. Likewise, in the area of wearable technology, the Machine Learning programme will progressively be used to analyze data coming from Internet of Things (IoT) devices.

8. Mobile app Security

To speak the truth, one of the adverse trends that has been a main source of concern for apps in years is the security. According to Gartner, the world’s leading technology research and advisory company, seventy five percent of mobile applications cannot pass even the most simple security tests. You can go ahead and get more information on Hybrid Cloud Security Risks Challenges and How to fix them. Come to think of it, did you know that eighty percent of the most popular Android and iOS apps have been hacked by different developers? Cyber Security is very essential to protect the data of the users.

In fact, among the most popular mobile security vulnerabilities are: poor authentication and authorization, lack of binary protection (reverse-engineering vulnerability), weak server-side control, insufficient transport layer protection, unintended data leakage.

However, in this year, the world is going to witness severe changes in the attempts to resolve these problems. As a matter of fact, Apple Company has already applied a new networking security protocol called the App Transport Security (ATS). Since January 1st, of 2017, all created apps submitted to the App Store are mandatory to use this new protocol. ATS ensues that all networking activities are protected using HTTPS protocol rather than the usual HTTP.

Do you have a great idea for an app to solve problems for humans? If yes, let’s discuss it in the comments section!

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In summary, we have to come to the end of this topic. In this post, we discussed about the enterprise mobile apps and mobile app development trends around the world.

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Trends & Tech of Mobile App Development – Latest Updates

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