Web development offers a wide range of different technologies. For the correct choice for your project, it is important to take into account various preferences, to understand what will be in demand in a few years. Let’s take a look at the main trends in 2023.
Progressive web applications
PWA remain the top front end trend. In such apps, work is performed independently of the browser, interacting with the user as a “native” program. There are many benefits to using technology both for business owners and consumers.
Main advantages of PWA development:
- Reduced costs for development
- Faster time-to-market
- Simple distribution
- Saving device memory
- High speed
- Offline mode
- Improved audience engagement,and excellent conversion
- Maintenance and updates go smoothly.
Ericsson predicted a 4.5 times increase in global mobile traffic in 2026 compared to 2019. This indicates greater use of mobile devices by people to cover different needs. In addition, by 2026, more than 54% of all data transmission will be via 5G, creating conditions for accelerating mobile services.
Before learning the specifics of front end trend, we also recommend to dive into back end development services.
Augmented Reality (WebAR)
Augmented Reality is the trend of 2022-2023 that offers new opportunities every day. It is used in smartphones, educational and health care, and games. According to Statista, by 2024, AR, VR, and MR usage in the world will increase to $ 300 billion, which is 10 times more than current figures. Such technology will improve interaction with customers.
Great examples of brands that work with AR are Amazon; Sephora; IKEA MOSCOT, and many others. At Amazon, AR helps customers see how the furniture will look in the room, allowing them to choose any style andensuref the correct purchase.
Artificial intelligence (AI) and bots
Gradually, the demand for communication with AI is spreading more and more.Today, you can see bots with AI or assistants in chats by type, particularly Alex, Siri, and Cortana.
Chatbots based on artificial intelligence (AI) answer user questions, help businesses build long-term relationships with customers, and improve the quality of service. AI bots have learned to recognize human speech, adequately and logically answer user questions, the most “advanced” bots are able to maintain a meaningful conversation and joke. If you are not yet using the capabilities of “smart” chatbots in your projects, it’s time to fix it.
The latest trends are voice bots. Developments help attract people, improve contact with them, and when working with trading platforms, they have a positive effect on customer service.
In chats, such assistants help with routine operations, constantly maintaining contact with customers.
Previously, all content and information were in text form, but modern web users prefer audio. For this reason, many are moving to voice assistants, and speech interpretation, as one of the rapidly developing technologies in web development.
The voice assistant market is projected to grow to 11.2 billion by 2026, and 53% of users are already using voice search to search for queries on search engines, buy products, etc.
Voice optimization is important for websites as well. Large companies want to seize the opportunity because it will determine the future of the Internet. As a result, digital products are being augmented with voice search capabilities. This helps to get many advantages for users and business owners.
Content personalization with machine learning
AI and machine learning has an impact on how people work online, even if users don’t see it. The main point of machine learning is to improve the experience. With the help of technology and written software, it is possible to improve performance without direct contact of developers. The software allows you to analyze the data, identify some patterns and make a decision with the subsequent automatic improvement of your own work.
Airbnb used machine learning to fine-tune search results for new users. This helped increase the likelihood of receiving their requests. The algorithm allows you to make an analysis of decisions on accepting requests from hosts.
Netflix has gone a step further. Engineers added advanced machine learning algorithms to better serve user needs. Each client receives an individual identification, which differs significantly from targeting. The software provides content and search results based on the intentions of a particular person, and not his early requests.