Landline Phones - Azerbaijan | Statista Market Forecast

In 2024, the Landline Phones market in Azerbaijan is projected to generate a revenue of US$7.7m.
The market is anticipated to grow at an annual rate of 1.65% (CAGR 2024-2029).
When compared globally, China leads in terms of revenue generation, reaching US$2.0bn in 2024.
Considering the total population, the per person revenue in Azerbaijan's Landline Phones market is estimated to be US$0.74 in 2024.
Looking ahead, the volume of the Landline Phones market is expected to reach 274.6k pieces units by 2029.
In 2025.0, the market is projected to experience a volume growth of 1.2%.
Moreover, the average volume per person in the Landline Phones market is forecasted to be 0.0pieces units in 2024.
Despite the decline in landline phone usage globally, Azerbaijan's strong cultural preference for traditional communication methods has kept the market resilient.

Definition:

Landline phones are wired telephones that use a physical wire or cable to transmit voice signals over a distance. They have been in use since the late 19th century and were the primary method of communication for many years. Landline phones are still used in many homes and businesses for their reliability and sound quality. They come in a variety of styles and designs, ranging from traditional corded models to cordless phones that use a wireless signal to communicate with a base station. Additional features such as answering machines, caller ID, and conference call capabilities may also be included.

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 Panasonic, Vtech, AT&T and Cisco. 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.

Answering machines and fax devices sold separately
Mobile phones

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.