Technology

How is Artificial Intelligence Revolutionizing the Mobile Application Industry?

As mobile apps are now more like a necessity than a trend, technological integration makes them more human-centric and personalized.

Subsequently, artificial intelligence has a prime role to play in this technological intervention and advancement. So, it is safe to say that artificial intelligence is a deep rooter in our lives.

From mobile game development to on-demand application development, artificial intelligence is making a wake everywhere.

In response to the growing trend, businesses are up for AI-powered mobile apps to leverage the opportunity to accommodate the high-end demands of the target audience and their market.

So, talking about the benefits of AI to the mobile app industry and how it is revolutionizing it, this article entails the following essential details to give valuable insights.

  • What do stats say about Artificial Intelligence?
  • Top five AI technology trends in the mobile app development industry
  • Five ways artificial intelligence has revolutionized mobile applications

Artificial Intelligence – What do Stats Say?

With the growing usability and interest in artificial intelligence, the annual market revenue of artificial intelligence, including software, hardware, and service segments in 2020, was approximately $281.4 billion.

The same year, it was estimated that the AI software segments made up to 88 percent of the overall market revenue with approximately $247 billion.

Talking about the integration of AI in the IT and telecommunication industry, cybersecurity, customer care, and personalization were a few of the top use cases of artificial intelligence, as shown in the image below.

How is Artificial Intelligence Revolutionizing the Mobile Application Industry?-www.justlittlethings.co.uk

Image Source: Statista

On the other hand, AI has been integrating into several other industrial sectors to improve performance, business transactions, and service provision.

Following are some of the major sectors leveraging AI, with prominent use cases.

  • Pharma and healthcare: cybersecurity, patient management, monitoring, and diagnostics
  • Consumer goods and retail industries: inventory management, product and services, and customer care.
  • Manufacturing industry: quality control, asset management, and service personalization.
  • Finance: fraud detection, finance processes, and analysis, customer care.

On the flip side, a certain percentage of global business and HR leaders expect a change in the nature of jobs in the next three years as artificial intelligence continues to trend.

Also, read grabmedeals

Top 5 Artificial Intelligence Trends in Mobile App Development Industry

Artificial intelligence has been making a mark everywhere, irrespective of the industry and niche. From eCommerce and gaming to healthcare and logistics, AI has been revolutionizing everything it comes in contact with.

Here are the five top trends enabling successful AI-powered use cases that are industry-independent and are driving the change for businesses.

1.     Cybersecurity

The current digital age is known to be more human-centric and data-dependent to enable personalized user experiences.

Subsequently, since data collection, handling, and management require 24/7 device connectivity, keeping data secure is a major concern.

And that’s what AI has helped with.

Numerous mobile apps and software now implement two-factor authentication and encryption to protect data and ensure authorized access to data.

Artificial intelligence has enabled secure means, minimized threats, and malware, and avoided system damage by using biometric detection via retina scan and fingerprint analysis.

2.     Smart Suggestions

Smart suggestions are one of the primary use cases of artificial intelligence for eCommerce and retail businesses to enhance personalized user experience, better service provision, and attaining user acquisition.

With features recommended for you, the smart algorithm in these eCommerce apps is enabling a user-centric experience and expanding their business reach and service provision.

Apart from eCommerce and retail businesses like Amazon, social media applications are also implementing this feature to improve personalized and user-centric content.

I am sure, plenty of times, your google searches would have been resonated in your social media apps like Facebook and Instagram, showing similar data.

3.     Speech Recognition

Speech recognition has been relatively new yet one of the most preferred AI solutions for users these days.

Think of Amazon’s Alex, Google Assistant, or Apple’s Siri has made it convenient and rather an enjoyable experience for users to carry out their daily tasks using speech recognition.

Whether you need to make a call, set the alarm, send a quick message to someone, or switch on lights in your living room, AI has got everything in control.

With the voice control feature, everything is now more than under control.

4.     Face Recognition

Like the voice recognition feature, face recognition has been making rounds in the market for quite a long time now.

Commonly used for security measures and data encryption, the technology has become one of the popular AI use cases.

Moreover, the idea is so loved and enjoyed by the users that it’s been used in gaming and socializing apps.

Apps like Instagram and Snapchat now offer different filters to take pictures that scan user’s faces to identify important patterns and correlations.

Also, forget the infamous Face App that became instantly popular for users to apply different filters and create different versions of themselves.

5.     Chatbots

Virtual agents and chatbots are preferred professional approaches for businesses reaching out to a global target audience.

Since the idea is to improve business availability to users, chatbots have been a preferred option in that regard.

Leveraging machine learning, AI-powered chatbots can have a human-like conversation with prospective clients to ensure interactivity and foster connectivity.

Also, in respective scenarios, virtual agents are used to connecting customers to human CSR.

While there are many other AI-based trends that a remaking it big in the market today, the few mentioned above are seen to have massive popularity and implementation.

Let’s talk about how trends like these and many others powered by AI impact user acquisition to revolutionize the mobile app development industry.

5 Ways AI Trends are Revolutionizing Mobile App Development Industry

The trending AI ideas mentioned above allow businesses to take a leap and improve their services to surpass the conventional user experience metrics.

While these enable business applications to have strong user acquisition and customer-business relationships, it is also helping customers to have better personalization and service acquisition.

But, how do they do it?

Here are five ways AI is empowering the mobile app development industry.

1.     Personalization

One essential feature that mobile app users are always searching for in the applications they use is personalization: providing the exact services they are looking for.

Before AI, mobile applications addressed general user needs and were a means to bridge the gap between businesses and users.

However, with AI enablement, the applications have not learned to understand and cater to user preference, but it now also responds to them accordingly. Thus, transforming mobile apps into omnichannel for businesses and users.

Several businesses now use AI to analyze users’ preferences, search, and buying history to optimize the content displayed on their feed.

2.     Real-time Data Collection

As mentioned earlier, the current digital era is powered by real-time user data generated from mobile applications leveraging continuous connectivity and complex algorithm.

A major part of the data-driven business approach and performance is an outcome of the Internet of Things (IoT) and, of course, Artificial Intelligence.

AI has enabled real-time collection, handling, and processing of user data to derive useful patterns and trends from fostering effective interventions and business objectives.

As a result, businesses can provide personalized services by keeping track of even the slightest change in your preferred data and search history.

3.     Improved Data Security

Security and data protection is a growing concern with continuous use of the internet and 24/7 connectivity.

That’s where artificial intelligence collaborated with predictive analysis, and machine learning came to the rescue.

Artificial intelligence has everything covered, from identifying data vulnerabilities, making relevant updates, and implementing security measures beforehand.

With multi-factor authorization and tracking users’ behavior, AI issues timely alerts by detecting and suppressing suspicious activities and enhancing security levels.

4.     Increased Speed and Responsiveness

By integrating trends powered by artificial intelligence, mobile apps now allow faster processing, data fetching, and streaming.

AI is enabling the development of responsive applications with fast load time and processing powers. Whether it is scanning your face or identifying a fingerprint to open your app, it’s just a matter of seconds.

Also, fetching data and showing results is now done in a fraction of seconds with the help of AI and machine learning.

5.     Enhance Customer Engagement

From data security and personalized content to user-centric performance, artificial intelligence keeps checking on everything. And, with everything in place, there’s no way users won’t interact with the app.

AI has enabled mobile applications to provide personalized and human-centric experiences helping businesses to lend enhanced services.

This, in turn, enables better business credibility and user-engagement, and satisfaction.

Concluding Statement – The Future of AI in Mobile Apps

While the article entails how AI has been used in the mobile app development industry, however, when it comes to the future of AI in mobile applications, well, it’s tough to predict.

Although there are plenty of opportunities for AI to go on a deeper level with mobile applications and user-centric performance, the usability graph is sure to go north.

AI is expected to integrate with technologies like 5G and the Internet of Things (IoT) in the near future.

This would enable industries to take on excessively human-focused objectives and performance to ensure credibility and competitive performance in the market.

Since AI-intensive generation is certainly the next big thing to predict in the future, it would still be intriguing to see how AI takes on the greater leap.

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