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Feature Phones - CIS

CIS
  • In 2024, the revenue in the Feature Phones market in the CIS region amounts to US$241.8m.
  • This market segment is projected to grow annually by 0.24%, with a compound annual growth rate (CAGR) of 2024-2029.
  • In comparison to other countries globally, India generates the most revenue in the Feature Phones market, amounting to US$2.2bn in 2024.
  • Considering the total population figures, the per person revenue generated in the CIS region is US$0.99 in 2024.
  • Looking ahead, the volume in the Feature Phones market is expected to reach 5.3m pieces units by 2029.
  • However, there is a projected volume decline of -4.8% in 2025.0.
  • On average, each person in the CIS region is expected to have a volume of 0.0pieces units in the Feature Phones market in 2024.
  • In the CIS market, feature phones are still in demand due to their affordability and reliable performance in areas with limited network connectivity.

Definition:

Feature phones are basic mobile phones with limited capabilities such as making calls and sending texts. They are a simple and affordable alternative to smartphones and often marketed towards older people or those looking for a basic phone. Feature phones use a proprietary operating system and have a smaller screen, less powerful processor, and limited memory compared to smartphones.

Additional Information:

The market comprises revenue, average revenue per capita, volume, average volume per capita and price. Figures are generated through both online and offline sales channels and include spending by consumers (B2C). Key players in the market are companies like Nokia, ZTE, and Alcatel. These companies are leaders in their respective segments and are known for their innovative products, brand reputation, and extensive distribution networks. For more information on the data displayed, use the info button right next to the boxes.

In-Scope

  • Dumb phones
  • Mobile phones in a classical sense

Out-Of-Scope

  • Smartphones with access to apps and high-speed internet
  • Mobile phones with advanced operating systems such as iOS or Android

Revenue

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Jun 2024

Source: Statista Market Insights

Most recent update: Jun 2024

Source: Statista Market Insights

Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Feb 2023

Volume

Most recent update: Jun 2024

Source: Statista Market Insights

Most recent update: Jun 2024

Source: Statista Market Insights

Key Players

Most recent update: Mar 2024

Source: Statista Market Insights

Price

Most recent update: Jun 2024

Source: Statista Market Insights

Global Comparison

Most recent update: Jun 2024

Source: Statista Market Insights

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on consumer spending on electronic and digital devices used privately either for entertainment (televisions, game consoles, smart speakers, etc.), communication (telephones, smartphones, etc.) or home-office activities (printers, copiers, etc.).

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market segment. As a basis for evaluating markets, 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., the Statista Global Consumer Survey), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, consumer spending, number of internet users, smartphone penetration rate, household number and consumer price index. 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 electronic products due to the non-linear growth of technology adoption and regular product upgrade. The main drivers are GDP per capita, consumer spending per capita, and 5G penetration rate.

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 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). GCS data is reweighted for representativeness.

Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Sep 2024

Source: Statista Market Insights

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