Top 6 Web Development Trends to Expect in 2022 & Beyond | Copperchips

Over the decades, website development has evolved and is still constantly changing. To keep up with these changes and to ensure survival in this competitive digital world, web developers must remain abreast of the latest development trends. Failing to keep up with these trends could attract serious consequences like- your website might lag behind your competitors or maybe lose huge volumes of traffic. To avoid all these, web developers should develop and maintain their websites as per the ongoing trend. To facilitate such developers, we have provided a comprehensive article of the top six web development trends that one can expect from this year.

Readers may find that some of the below-mentioned trends are already existing but it must be noted that these trends are expected to become more prominent in the following years.

Progressive Web Apps (PWAs)
PWAs are not typically trend of 2022, however, it is expected that they will replace web apps for good in the upcoming years. PWAs enable websites to load within no time and ensure a better user experience. Once web applications are revamped into PWAs, the apps will be saving device storage along with power, development expenses, and precipitates launch to the market. Many renowned web apps are relishing considerable profits derived from these apps. Hence, it would be appropriate to predict that PWAs will act as game-changers shortly.

Artificial Intelligence Powered Chatbots
AI-powered chatbots act as virtual assistants who communicate with visitors coming to the site and make their navigation journey more thrilling and fun. They also conduct a proper analysis of the data presented by those interacting with a chatbot to improve services and marketing efforts. AI-powered chatbots are highly efficient in handling sales inquiries and these unique features of AI-powered chatbots enable businesses to convert leads faster. In the upcoming years, it is expected that AI chatbots will become more sophisticated and efficient in meeting the demands by leveraging machine learning and natural language processing.