Smart Home - Gabon

  • Gabon
  • Revenue in the Smart Home market is projected to reach US$3.2m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2028) of 13.21%, resulting in a projected market volume of US$5.2m by 2028.
  • Household penetration will be 3.2% in 2024 and is expected to hit 5.3% by 2028.
  • The average revenue per installed Smart Home currently is expected to amount to US$191.80.
  • A global comparison reveals that most revenue is generated United States (US$38,800.0m in 2024).
 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

Smart Home technology is steadily gaining traction in Gabon, with an increasing number of households embracing connected devices to enhance convenience and efficiency in their daily lives.

Customer preferences:
Gabonese consumers are showing a growing interest in Smart Home devices that offer convenience, energy efficiency, and enhanced security. The convenience of remotely controlling home appliances and systems through smartphones appeals to the tech-savvy population in Gabon. Additionally, the desire for energy-efficient solutions aligns with global trends towards sustainability and cost savings. Security features such as smart cameras and sensors are also becoming popular among homeowners in Gabon, contributing to the overall growth of the Smart Home market.

Trends in the market:
One notable trend in the Gabonese Smart Home market is the increasing availability and affordability of smart devices. As technology becomes more accessible and prices gradually decrease, more consumers in Gabon are able to invest in Smart Home solutions. This trend is further supported by the rising middle-class population in the country, driving demand for modern home automation technologies. Moreover, the integration of artificial intelligence and voice control features in Smart Home devices is gaining momentum in Gabon, providing users with seamless and intuitive interactions with their smart systems.

Local special circumstances:
Gabon's unique market characteristics, such as its growing urban population and expanding middle class, play a significant role in shaping the Smart Home market. Urbanization leads to higher demand for housing and infrastructure, creating opportunities for the integration of Smart Home technologies in new residential developments. The increasing disposable income among the middle class allows for greater spending on home improvement and technology upgrades, driving the adoption of Smart Home devices in Gabon. Furthermore, the government's focus on sustainable development and technology advancement also encourages the uptake of energy-efficient Smart Home solutions in the country.

Underlying macroeconomic factors:
The gradual economic growth and stability in Gabon contribute to the expansion of the Smart Home market. As the economy improves, consumers have more purchasing power to invest in Smart Home technologies. Additionally, the government's efforts to improve infrastructure and promote digitalization create a conducive environment for the growth of the Smart Home sector. Overall, the combination of favorable economic conditions, evolving consumer preferences, and supportive government initiatives positions Gabon as a promising market for Smart Home innovation and adoption.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on the sales of smart home products, excluding taxes.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market category. As a basis for evaluating markets, we use the Statista Global Consumer Survey, market data from independent databases and third-party sources, and Statista interviews with market experts. In addition, we use relevant key market indicators and data from country-specific associations, such as household internet penetration and consumer spending for households. 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 innovative products due to the non-linear growth of technology adoption. The main drivers are GDP/capita, level of digitization, and consumer attitudes toward smart home integration.

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 once a year, in case market dynamics change we do more frequent updates.

Overview

  • Revenue
  • Key Players
  • Product Types
  • Global Comparison
  • Analyst Opinion
  • Methodology
  • Key Market Indicators
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Kisara Mizuno
Kisara Mizuno
Senior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)