Food & Drink - Baltics

Baltics

The Food & Drink market in the Baltics is expected to witness substantial growth in the coming years.
According to projections, the total revenue for this market is set to reach US$250.20k by 2022.
This growth is further expected to continue at an annual rate of 11.11% (CAGR 2022-2027), resulting in a projected market volume of US$452.90k by 2027.
In terms of revenue sources within the Food & Drink market, in-app purchases (IAP) are estimated to generate US$25.90k in 2022, while paid app revenue is projected to reach US$9.03k.
Additionally, advertising revenue is expected to contribute significantly, reaching US$215.30k in 2022.
Furthermore, the number of downloads in the Food & Drink market is projected to reach 327.60k downloads in 2022.
Currently, the average revenue per download is expected to amount to US$0.76.
Comparing the global scenario, in the United States emerges as the frontrunner in generating revenue within the Food & Drink market, with an estimated revenue of US$786.60m in 2022.
This highlights the dominance of the Chinese market in this segment.

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

Market

Region

Region comparison

Currency

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.