How to Develop a Music Application?
Everyone loves to listen to music. Our pace of life is getting faster and faster. Often there is no time to go through the entire list of music tracks and buy the ones that you like. Thankfully, mobile apps have changed the way we listen to music. There are various music streaming services on the App Store and Google Play.
Thanks to modern technology, we get easy user interaction and get music in a few clicks. Mobile devices and flawless internet connection speeds only add to this trend.
Music applications can be a good investment. It continues to gain popularity. The level of profit they bring to their owners has already exceeded the number of sales of music tracks on physical media. According to statistics, more than 85 percent of users listen to music via on-demand streaming services. By 2020, the revenue of the music streaming industry reached $16,632 million, and the expected yearly growth is going to increase by 5.8% in 2024.
Why do people choose to use music applications and which benefits it has?
- Quick access to music
- Affordability
- Unlimited storage
- Social engagement
- Curated playlists
- The ability to stream on smart home devices
- Offline listening
- Easy-to-use ’user interface‘ (UI)
- Compatibility across multiple devices
- Ease of finding new music
All these services appear to be outstanding because of these common features they are effortless, intuitive, and easy to use.
Different applications for listening to music offer different functionality and features, tailored to the different needs of listeners. But which music app will best suit your needs and how to start it? Here we can give some ideas about future muscle applications.
Create the idea
To get started, you need to have an idea of how your application will look and work on your users’ devices. Explore and check popular mobile apps like Spotify, Pandora, and Apple Music. Taking into account their characteristics and learning from their experience can be useful for realizing the goals of your project.
Find out your target audience
Study your target audience – the people who will be using your application. Find out all about their music preferences, age, location, and other important information. For example, if a significant portion of your user base comes from a specific country, be sure to provide them with appropriate local music recommendations. You should also see how much users are willing to pay to set their pricing strategy for advanced features.
Basic App Functionality:
Register and log in. The procedure is standard, except that when registering, your service must check the location of users to block access to the service for those who do not fall under the jurisdiction of the licenses you received.
Track search system. Allows using keywords and filters to search for musical compositions by title, artist, album, genre, studio, and other parameters. The simpler this function is, the better.
Personal libraries. When a user likes a song, he can add it to his library so that he can quickly find and include it later. Libraries can store songs, albums, artists, playlists.
Integration with social networks. Allows users to share their positive experiences on Facebook, Twitter, and Instagram. In particular, they can share a favorite track, album or playlist, and also boast about how many people have subscribed to the playlists they have created.
Playlists of compositions. Users should be able to combine their selected songs into playlists and specify their name, add a cover, and a short description. It should also be possible to make playlists public for other users to see.
Recommendations. The system analyzes the user’s preferences (music genre, favorites list, favorite artists, frequent repetitions, dislikes), selects similar compositions, and offers them to the user. Now they use neural networks for this.
Notifications. Push notifications, emails, or messages in instant messengers and social networks will inform customers about the release of a new album of their favorite artist, new recommended tracks, actions of friends, or service updates.
Оnce you’ve completed all the initial research and purchased the appropriate licenses, it’s time to create your music streaming app from scratch. To do this, you need to consider several factors, such as which technology stacks will be used and whether you need in-house development or cross-platform development. Don’t try to settle accounts with the cheapest developers. Instead, interview them and learn about their skills and user experience. To create music streaming apps for iOS and Android, you need to collaborate with a team of specialists such as a Project manager, UI / UX designer, 1 or 2 Android developers, 1 or 2 iOS developers, Back-end developers.
Tech stack for music applications
To develop an application for listening to music, consider tools such as Python and JavaScript. If you are going to store music files on a cache device, use Cassandra, PostgreSQL, and a common memory caching system. There are also other technologies such as:
- Kafka software for real-time data management and processing
- GraphWalker for model-driven tests and Python integration
- Amazon S3 for Cloud Music Streaming
- Dataproc for Platform Infrastructure
- Built-in Chromium framework for building the user interface for desktop applications
- Bootstrap for web development
- Nginx as an open-source HTTP and proxy
- C ++ for Windows / Mac clients
- Java for Android Music Streaming Application
- Objective-C for iOS Music Streaming Application
Music streaming has the potential to cover 86% of the digital music market in Europe by 2022, according to Statista. Streaming profits have already jumped 98%. You should seriously think about it! It may be time to take action and join the ranks of the leaders while it is still possible. If you are thinking of developing a music application, Mifort can help you with that. We are an experienced IT outsourcing company that delivered more than 200 Successful projects. In addition, we know how to compromise and are ready to take on a challenge of any level of complexity.