How is AI Impacting Mobile App Industry?

Artificial intelligence is rapidly evolving in the mobile application industry because of its enhanced user experience, increased performance, and efficiency. The need for smart intelligent mobile apps is so on-demand, and here comes the necessity of implementing AI in mobile apps. Mobile applications that have integrated AI algorithms work more effectively and smartly as compared to normal mobile apps with limited functions and specifications. AI is responsive and smart enough to adapt to an evolving environment, and that is the reason why almost every business may it be small or large rely on AI.

The global Artificial Intelligence market is expected to reach $89 billion by 2025, according to Statista. In 2018, the global revenue for AI software surpassed 9.5 billion dollars. Many companies like Microsoft and Amazon are using AI to provide a better user experience to customers all around the globe. Alexa and Cortana technologies are the best examples of AI that have revolutionized the mobile app industry. As a result, you can escalate how important it is for a mobile application industry to provide services that include flawless AI implementations. Since today’s organizations recognize the enormous benefits AI can provide in terms of customer retention, superior customer experience, improved engagement, high ROI, and much more.


While we get familiar with the significance and importance of integrating Artificial Intelligence in mobile apps, now let’s explore some of the impacts of AI on the mobile app development landscape.


Advance AI algorithms have made it possible to engage more consumers towards the brand that offers personalized content strategies. The mobile application industry can receive a tremendous response on their services and applications when they develop a content strategy based on their customers’ and users’ personal preferences. The business can create content by simply perceiving the likes and dislikes of the targeted audience. Recording the response and behavior of the users and then making changes in the app accordingly can provide a better user experience. A personalized content strategy is a smart approach to increase ROI and sales.

An example of a personalized content strategy is the Netflix mobile app that utilizes the AI function to assess and evaluate customer behavior. Netflix offers suggestions based on the choice and preference of their customers. And that’s the reason behind the immense growth and success of the Netflix app. Facebook and Instagram are other examples that show content to their user based upon their interest and search results.


Voice Assistant is the biggest advantage that AI has provided to the mobile app industry. Voice-controlled assistants like Amazon Alexa, Microsoft Cortana, Apple Siri, and google assistant have brought a drastic change and are more in demand than ever. Voice-based searches and queries enable the user to solve their problems in no less time. Cortana is one of the most significant virtual assistance that helps the users to perform tasks such as setting reminders, checking the schedule, quickly finding information, easy collaboration with voice assistance, and much more. While Amazon Alexa has already set the bar high in this area by connecting with a variety of devices and appliances.

Users can jump right to their favorite thing or whatever they’re in search of just by asking google assistant on their mobile phones. Whether it be your favorite clothing store or some delicious food, you’ll get access to the perfect spot without any hassle. The amalgamation of mobile and voice controls will continue to expand and increase the new user experience for mobile apps. It has facilitated a lot of users to a greater extent.


One of the biggest impacts of AI on mobile apps is the enhanced and precise search engine outputs.  AI-powered suggestions and predictions assist the user in finding based on their previous search inputs and interactions. Visual search is one of the top-notch forms of search engine that has increased demand. Google lens has made searches easier and less time-consuming. Users can now search through the picture by simply typing search by image in google. You can search by uploading the picture or pasting the image URL in the search console.

Visual search is more accurate and faster than voice or text search because it uses AI algorithms and techniques. Android developers are obligated to develop an image recognition system and a voice recognition system as a result of AI integration in mobile applications. AI is continually evolving and it’s expected that soon a comprehensive visual search function will be integrated into both iOS and android platforms.


There is a wide assortment of translation apps available online that require strong internet connectivity. This is where AI-based translation app came into popularity because of their improved performance, accuracy, and efficiency. AI-based real translators perform real-time translation between multiple languages without the concerns of internet connectivity. Similar to how interpreters work, AI can provide a language instruction tool that allows sentences and phrases to be translated almost instantly without a time lag. AI can be used to adjust the translation tool’s latency. This means that a user can set the amount of time that elapses between a spoken word and its translation. This would be extremely useful for languages requiring a longer time interval for accurate translation.


Application security is the main threat that most people face since hackers and cybercriminals penetrate the mobile app to hack data. The integration of AI in mobile apps can prevent these threats in real-time. AI technology can assist mobile apps in staying informed about all types of inconsistencies and irregularities in user behavior that indicate security threats and vulnerabilities. AI technologies such as blockchain and machine learning can reduce security threats and protects the application from unethical hacking and sharing of data to third-party users.

User authentication in mobile apps plays a vital role in maintaining the security of your smart device. Face recognition and thumb impressions on mobile phones are implemented through AI technology for both iOS and Android users. Face recognition was first launched by Apple in the year 2017. Face recognition on the Apple iPhone X is powered by an AI-based algorithm, which works in tandem with Apple’s elaborate hardware. Using AI processing, the phone can easily identify the user’s face, even if the user has facial changes. Google recently announced radar-based, hands-free gestures for face recognition. Unlocking the phone would be easier, faster, and more secure with its hands-free system.


Artificial Intelligence and machine learning algorithms implemented in smartphone camera apps have magnificent features. The advance smart camera app can easily detect the subject within the frame, such as faces, food, fireworks, and adjust the camera setting to provide the best possible image. Artificial intelligence and machine learning can now automatically detect and improve facial features in portrait images. More advanced features can even count the calories you consume from a basic photo of your food or provide businesses with data regarding how and where their products are being utilized when photographs are shared via social media platforms.


Fitness and mobile apps with integrated AI algorithms have helped the users in keeping track of their fitness in a better way. A mobile-based healthcare app keeps the heartbeat normal while jogging and exercising. Except if you have had a huge cognitive decline, there is zero chance you passed up the medical services observing utilization of AI. With a wide scope of health monitor app like food cate, headspace, lifesum, etc. Users would now be able to keep track of their wellbeing including pulses, exercises, and substantially more. The information is then moved to exceptionally progressed AI upheld frameworks to acquire experiences and data contrasting the current insights with ideal prerequisites.

Being fit for recognizing exercise designs, sending cautions if there should arise an occurrence of missed exercise schedules, these apps empower the user to record their habits and avail the information when the need be. However, they are likewise equipped for bringing the alerts up if there should arise an occurrence of emergencies. For instance, if a patient has as of now arrived at the furthest reaches of a movement, they’ll raise an alarm requesting that the user stop.  


Moving towards the end of the article, you must now have a good perspective on how Artificial Intelligence is impacting the mobile industry in a variety of ways. Better performance, increased efficiency, enhanced customization and tailor-made user experience of AI technology add value to the mobile apps. On the other hand, AI provides more security of data therefore it’s important for mobile developers to integrate AI into their mobile apps. To foster these AI-advanced applications, mobile application development companies are obtaining vital assets as far as updated innovation and experts – who can keep on pushing the limits of AI, to create the best mobile apps in the future.

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