Digital Music - Worldwide

Worldwide

Highlights

In Worldwide, revenue in the Digital Music market market is projected to reach US$45.08bn in 2024.
Revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2029) of 4.69%, leading to a projected market volume of US$56.68bn by 2029.
The largest market within this market is Music Streaming, which is expected to have a market volume of US$33.59bn in 2024.
In a global context, the most revenue will be generated the United States, amounting to US$19.08bn in 2024.
Additionally, in the Digital Music market market, the number of users is projected to reach 2.3bn users by 2029.
User penetration is forecasted to be 26.8% in 2024 and is expected to rise to 28.8% by 2029.
As the global digital music landscape evolves, countries worldwide are witnessing a significant shift towards subscription-based streaming services, reshaping consumer engagement and revenue models.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Digital Music market is experiencing significant growth and development worldwide.

Customer preferences: Customers are increasingly moving towards digital music platforms due to the convenience and accessibility they offer. With the rise of smartphones and high-speed internet, consumers can easily stream or download their favorite songs and albums from anywhere at any time. This shift in customer preferences has led to a decline in physical music sales, such as CDs and vinyl records.

Trends in the market: One of the major trends in the digital music market is the rise of streaming services. Platforms like Spotify, Apple Music, and Amazon Music have gained immense popularity as they provide users with a vast library of songs to choose from and personalized playlists based on their music preferences. This trend has disrupted the traditional music industry and has led to a decline in album sales. Another trend in the market is the increasing popularity of music discovery algorithms. These algorithms analyze user listening habits and recommend new songs or artists based on their preferences. This has opened up opportunities for emerging artists to gain exposure and reach a wider audience.

Local special circumstances: In different countries and regions, there are unique factors that influence the digital music market. For example, in emerging economies with a large population of young consumers, the demand for digital music is high. This can be attributed to the increasing smartphone penetration and the desire for affordable entertainment options. In some countries, there are specific regulations and licensing agreements that impact the availability and pricing of digital music. These factors can vary from region to region and can affect the competitiveness of different platforms.

Underlying macroeconomic factors: The growth of the digital music market is also influenced by macroeconomic factors such as disposable income, internet penetration, and technological advancements. Countries with a higher disposable income and widespread internet access tend to have a larger customer base for digital music. Additionally, advancements in technology, such as faster internet speeds and improved audio quality, contribute to the overall growth of the market. In conclusion, the digital music market is witnessing significant growth worldwide due to changing customer preferences, the rise of streaming services, and advancements in technology. The availability of digital music platforms and the convenience they offer have led to a decline in physical music sales. However, local special circumstances and underlying macroeconomic factors can vary from region to region, shaping the digital music market in different ways.

Data coverage:

The data encompasses B2C enterprises. Figures are based on the Music, Radio & Podcasts market, which comprises all revenues generated by traditional and digital radio advertising, consumer purchases of live music event tickets, all sales of tangible audio recording formats, paid digital downloads of professionally produced single tracks / compilations, ad-supported services, and subscription-based, on-demand streaming services. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. This spending factors in discounts, margins, and taxes.

Modeling approach / market size:

The market size is determined through a bottom-up approach. We use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., Consumer Insights), as well as performance factors (e.g., user penetration, price per product, usage) to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as various macroeconomic indicators, historical developments, current trends, and reported performance indicators of key market players. In particular, we consider average prices and annual purchase frequencies.

Forecasts:

We apply a variety of forecasting techniques, depending on the behavior of the relevant market. For instance, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and 4G coverage.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Consumer Insights data is reweighted for representativeness.