There is no room for doubt that we are living in the age of the information technology revolution. Never before has any industry taken the globe by storm in the manner that information technology did. The development of Artificial Intelligence (AI) and the subfield of Machine Learning (ML) within AI has nearly eliminated the need for manual labor. Every day, in practically every industry, new software is being developed with the goal of making work more straightforward, accurate, and efficient. In an increasingly decentralized software environment, it is paradoxical that humans have become centralized and are now able to be channelized through mobile devices. As a direct result, the creation of mobile app development sprang to the forefront of public interest.
The industry of software, however, has been overstuffed because of the human trait of following the crowd blindly. As a consequence, mobile app development companies came into being on a very large scale. On the other hand, the ever-evolving IT world did not let everyone survive in the market, as they kept bombarding trend after trend. As a direct result of this, 80% of mobile apps are not used more than once. The success rate is minimal because developers are not able to keep up with trending technologies and market demand shifts.
In this manuscript, we will discuss in detail the top 5 mobile app development trends in 2023, so that it is easier for developers to know the market demands clearly and invest time in creating value-generating apps.
- Artificial Intelligence (AI) and Machine Learning (ML)
Artificial Intelligence (AI) and Machine Learning (ML) are two terminologies that have been the subject of heated debate for the past decade in the software industry and following the COVID-19 outbreak in the general public. AI models are being trained like humans and data is being collected and fed through machine learning algorithms to make intelligent decisions. If mobile app developers are not taking into consideration the evolution of Artificial Intelligence, they are unlikely to survive the market competition.
The backend and the frontend, both have been impacted by AI, along with UI/UX, and content generation. In the year 2023, when people are now more stable than before because of coronavirus upheavals, chances are higher that more AI-generated models will be launched.
According to Forbes Advisor, the market size of AI was estimated at $136.55 billion in 2022. The same portal predicts $1,811.8 billion by 2030.
Top examples of trending AI apps in the mobile devices
- Facial recognition app
- Voice assistants app
- Image recognition app
- Predictive texts app
- Personalized VR app
- Internet of Things (IoT)
The Internet of Things (IoT) is one of the most trending tools in the software industry. It connects mobile devices with physical objects in the environment. The connection provides a channel of communication where data is transmitted and interpreted. We can take the example of wearable devices like smartwatches, home appliances controls like smart homes, and of course, the smartphones that we all are using.
The devices have in-built sensors and receptors through which they create communication channels for data flow.
The data shared by IoT Analytics shows that there are approximately 16.7 billion IoT endpoints. In the same report, it has been estimated that the year 2027 will come up with 29 billion IoT connections.
Top examples of trending IoT apps in mobile devices
- Wearable devices app
- Connected cars app
- Home automation app
- Health monitoring app
- Asset tracking app
- Environment detection app
- Mobile Commerce
In 2023, 20.8% of retail purchases are expected to be made online. While the revenue that will alone be generated through mobile commerce is anticipated to be $510 billion. There is no denial from the fact that products and services are gradually being sold and purchased through virtual shops. The online shopping mechanism provides various benefits to both consumers and vendors.
In this day and age, mobile commerce is going to dominate the market. People would like to prefer placing their orders through this, as it is more convenient and efficient. Therefore mobile app developers must consider creating m-commerce apps alongside eCommerce websites. The m-commerce applications will have several integrations within, for example – payment gateways, tracking systems, recommendations, etc.
Top examples of trending m-commerce apps in mobile devices
- Augmented Reality (AR) Shopping App
- Food Delivery App
- Wallets App
- Social Commerce App
- Ticketing App
- Mobile digital transaction
Another significant technology that is being integrated with mobile apps is digital transactions. The major credit for its popularity and acceptance goes to the pandemic, however, it was still used in metro cities. Applications such as Google Pay, Apple Pay, Amazon Pay, Payoneer, Pay Pal, etc., gained significant popularity.
In the year 2023, the total market size of mobile wallets has surpassed USD$ 269. The predictions for the future are estimated to double and triple in a short period. The convenience it has rendered marks the determining point of its success.
Wallet integration is something that needs special attention in the development industry. As it will be one of the most trending and useful tools for the future. “Contactless payment” is the slogan of the future.
Top examples of trending digital transactions apps in mobile devices
- Google Pay
- Samsung Pay
- Apple Pay
- Pay Pal
- Alipay
- Venmo
- Amazon Pay
- Prediction model
The novel market mechanisms are solely based on data. Big data sets are analyzed properly to make decisions for every business segment. The role of Machine Learning, Data mining, and Artificial Intelligence has proven to be prominent in running the future of businesses. Based on consumer preferences, tastes, and behavior, the dynamic User Interface (UI) will be decided by the applications.
By the halfway of 2023, the market size of prediction modeling has touched the mark of USD$ 14.72 billion. It is due to the drastic increase in data mining and machine learning that the market boomed in an unprecedented manner. There are reports that state that data collection has seen a significant increase after 2019. In the past 4 years, a significant amount of data was fetched and turned into intelligent data for the process of decision-making.
Top examples of trending predictive analytics apps in mobile devices
- Personalized recommendations app
- Autocorrect keyboards app
- Behavioral analytics app
- Location predictions app
- Fraud detection app
Conclusion
In addition to the characteristics that have been described thus far, there is a great deal more that is becoming increasingly popular. The current race for the progress of mobile technology does not appear to be slowing down in the near future.
Every day, new businesses enter the field of information technology; despite this, it is critical to do in-depth research and analysis in order to understand the evolving needs of users and develop applications that are tailored to meet these requirements.
Get in contact with our highly experienced, competent, and up-to-date mobile app developers if you are interested in developing a cutting-edge mobile application for your company. They will assist you in thriving the competition promptly and will bring you to the forefront of the industry.
