How Much Does It Cost to Build Music Streaming App Like Spotify
Only half a decade ago an iPod with couple hundreds of favorites was enough, but today the advancement of internet connection speed has changed the demand for music and resulted in the rising popularity of music streaming app, thus, increasing the demand in music app development.
Having over 75 million users, Spotify is the most popular among them. What is the reason behind its popularity and how to make a music app like Spotify? These are the topics of our article.
Read Also: Top 15 Apps for Live Streaming
What is a Spotify streaming app?
The Spotify app was launched back in October 2008. The idea behind it belongs to two friends, Daniel Ek and Martin Lorentzon, that came up with it sitting in the nearly empty apartment in Stockholm, Sweden. It provides access to all music in the world, anywhere and anytime.
The benefits of an online music streaming service are clear:
- Quick access
- Unlimited storage
- Social engagement
Cost forming factors of building a music streaming app Like Spotify
Of course, not all niches in the music streaming industry are taken, but you have to study what people are going to use your product. What is their age? How do they live? Why do they need you? Tailor the application's features and design to match the needs of your target audience.
Finding Tech Crew
In case you want to roughly estimate how much it costs to build an app like Spotify, use the average rates per region given below:
- North America
- Western Europe
- Eastern Europe
Pay attention to the project history of the company. Do they have relevant experience in creating music streaming applications? Is their reputation any good? You can go as far as checking out their applications in App Store and Play Market.
Read more on outsourcing your app development: https://idapgroup.com/blog/how-to-hire-app-developers/
Designing the app Like Spotify
The time spent on making a prototype strongly depends on how thoroughly you thought out what you want from the finished product. Make sure to analyze your main competitors and learn from them. Pick up the best parts, and look at the app like a user would, not like the owner.
Deciding on a Platform
To provide users with high-quality audio or video content, you have to receive a Public Performance Rights license. In the USA, it is handled by three agencies: ASCAP.com, BMI.com or SESAC.com. Moreover, a particular share of revenues will have to be paid to artists as royalties for using their music.
Developing this feature is going to require 24 hours of front-end time, and 16 hours to build the backend part.
As for a simple MVP, it will take about 60-80 hours for front-end, and 50 hours for back-end part. However, building the music streaming feature altogether is going to take about 600 hours (350 hours for front-end including caching, and 250 for back-end without scaling).
The MVP needs 50-60 hours to develop the front-end, and 50 hours for back-end.
Front-end: 5 hours per each platform
Back-end: 60 hours
Front-end: 40 hours
Back-end: 70 hours
Front-end: 40 hours
Back-end: 20 hours
Approximate overall cost of a music streaming MVP Like Spotify
Secret behind Spotify's success (or why you won't make it)
It is the long process of receiving the data on user and user's behavior together with creating algorithms for analyzing its every aspect.
To provide personalized user experience, companies offer their users an option to like or dislike songs they listen to. Whenever a user likes or Spotify a composition. The information is stored in the user's preferences section combined with the name of the artist, album, song, and more.
It is also possible to analyze what tracks the user has skipped, or what he has listened to until the very end. It will also allow offering tracks that suit a user's taste.
With time, the analysis will help improving user experience, but the cost of storing space and developing algorithms for analysis will require additional funding.
As the amount of users' data increases, you will have to think about improving or implementing new algorithms to better the system of music recommendations and daily discoveries.
Spotify, for instance, uses Echo Nest API, that utilizes data mining and machine learning technologies to collect information on what user listens to on a daily basis, what artists or songs are most or less favorite. This information is used to create personalized playlists for the user and his particular mood. It works on proposing suitable music for every moment of user's life.
Why it is nearly impossible to repeat Spotify's success
Spotify did not become famous in one day. They have spent nearly 5 years, acquired machine learning, created a system of algorithms that analyzes user's preferences and offers a playlist for a day.
Therefore, it would be difficult to compete with the giant of the music streaming industry. Instead of trying to succeed at something that is already made, try to find your own niche that will help people of a specific profession or interest.