Racing Games - Canada

Canada

The Racing Games market in Canada is expected to experience significant growth in the coming years.
By 2022, the total revenue in this market is projected to reach €19.94m.
This revenue is expected to grow at an annual rate of 6.09% (CAGR 2022-2027), resulting in a projected market volume of €26.34m by 2027.
Within the Racing Games market, revenue from in-app purchases (IAP) is estimated to reach €10.87m in 2022.
Additionally, revenue from paid apps is projected to reach €0.75m in the same year.
Furthermore, advertising revenue in the Racing Games market is expected to reach €8.31m in 2022.
In terms of downloads, the Racing Games market is anticipated to have approximately 29.20m downloads downloads in 2022.
The average revenue per download is estimated to be €0.68.
When comparing the Racing Games market globally, it is worth noting that the highest revenue is generated in China, with an estimated revenue of €689.00m in 2022.
This showcases the immense potential and popularity of the Racing Games market on a global scale.

Key regions: Asia, Europe, United States, South Korea, Japan

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

Since the start of Apple, Inc.'s App Store in 2008 with around 500 apps, mobile apps have come to dominate the digital economy and have quickly outpaced the demand for desktop applications. As of 2021, the Apple App Store and Google Play Store had more than 5 million apps combined. Because many apps from the West are not available in China, many new app stores have emerged there. Digital lifestyles around the world now depend on adopting mobile apps, especially when it comes to social networking. The games industry has also been thoroughly transformed by the app revolution and is demonstrated by the fact that the games category is the largest and highest-grossing app category.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on revenue from in-app purchases, revenue from the purchase of apps, and revenue from advertising, as well as the number of downloads for each app category.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market segment. As a basis for evaluating markets, we use market data from independent databases and third-party sources, current trends, and reported performance indicators of top market players. In addition, we use relevant key market indicators and data from country-specific associations, such as smartphone users and mobile broadband connections. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, 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/capita, level of digitization, and consumer attitudes toward apps.

Additional notes:

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 case market dynamics change.