As existing technologies are evolving and new technologies are coming into existence, mobile apps are transforming as well. Among these new technologies, AI is joining the app development industry. Top Artificial Intelligence Companies are helping developers build smarter apps and speed up the overall development process.

Abilities such as these are multiplying the popularity of AI in the industry. A report by BusinessofApps gives us more insight into this popularity. The report suggests, that between 2023 to 2024, the AI app’s annual revenue is expected to reach $11.3 billion from $5.5 billion.

To understand how AI is transforming the app development industry in-depth, here are some insights that can help!

Smarter Chatbots

AI technologies are helping developers build and deploy smarter chatbots. Using the massive amount of data, data scientists are training chatbots for several purposes like resolving user queries, communicating with users, and generating conversational responses.

Names like GPT 3.5 and Bard AI witnessed extensive popularity since their release. According to SimiliarWeb, ChatGPT crossed 1 billion visits in February 2023 making it one of the most popular AI chatbots in existence. This was a 62.5% increase compared to January of the same year.

Personalization

AI is enabling extensive personalization in the app development industry. Developers are able to use the technology to offer an experience to app users that is entirely customized.

Using the massive amount of data generated by users which includes the app usage behavior, taste, product preferences, etc., AI is able to understand what users might like. Accordingly, it curates products or content suggestions individually for each app user.

Personalization is, however, not limited to product recommendations only. The technology is also used to offer a personalized learning experience. For instance, Duolingo uses AI to optimize the language learning experience.

It tracks the way a user is learning, their weaknesses, strengths, and other such data. Accordingly, its AI customizes courses in real time and helps users practice better.

Automated Testing

AI is also actively contributing to speeding up the app development process. AI-supported automated app testing processes are replacing traditional testing processes that consume lots of time and have lesser accuracy.

According to Global Market Insights, the automated testing market size crossed $200 billion in 2022. Additionally, between 2023 to 2032, the market size is expected to increase at a 15% CAGR.

The increasing accessibility of automated testing tools is also enabling even smaller businesses to deploy high-quality digital products. For a massively competitive market such as app development, this helps them stay afloat and competitive.

Faster Code Generation

AI is also helping developers generate high-quality codes faster. This helps developers build more apps within less time without sacrificing the quality benchmark. To take an example, Replit is a well-known name for generating codes and debugging them.

The Ghostwriter coding tool uses an AI to deliver customized requirements for writing codes.

Enhanced Performance

AI development companies are leveraging AI to improve the performance of their mobile applications. AI can monitor background processes and optimize them to make the resources available for the application it is being used.

This helps apps load faster and offers a glitch-free environment. AI also tracks and records the performance data of the app. Using this data, it can recommend device optimization strategies for better app performance.

Better Cybersecurity

A HackerOne report states that ethical hackers were able to detect 65,000+ vulnerabilities in 2022, 21% more than in 2021. Rising cyber threats create a threat to sensitive user data and experience. AI’s predictive capabilities are being used by developers to counter these vulnerabilities and safeguard user data better.

Using AI, developers can automate the cybersecurity of apps they are building. AI can recognize patterns of possible cyber attacks and take countermeasures automatically. This helps block attacks up to an extent saving tons of money for developers.

AI In Biometrics

AI’s use in biometrics adds an extra layer of security to the app. AI is used in face recognition, fingerprint recognition, iris recognition, etc. Technologies like Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Support Vector Machine (SVM), and Genetic Algorithms (GA) among others enable AI’s use cases in biometrics verification.

Translation Capabilities

AI is helping developers expand their target markets, even in regions where languages are different. Using translation capabilities and technologies like Natural Language Processing (NLP), developers can deliver content in multiple languages. AI can even automatically translate the languages of the app UI to make it easier for developers to understand it.

Wrapping up

AI is revamping the app experience entirely. Now apps are smarter and have more capabilities compared to a few years ago. In parallel, with the transforming app experience, user expectations are changing as well.

For instance, a MindShareWorld report suggests that 60% of users will prefer communicating with an online chatbot to get their queries answered from a business or brand.

The reason behind these numbers is the ability of chatbots to respond faster. The tech eliminates the waiting time and is not emotionally-driven making it easier to assist even frustrated app users.

AI’s advantages also reduce the cost that goes into assisting app users. For small businesses and startups, this creates fair competition and helps them achieve competitive standards of quality of services.

So, it is safe to say that the popularity of AI is not slowing down anytime soon. In fact, it is going to create another layer of competition for any business actively involved in the digital ecosystem to sell their services or products.

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