Smart Home - GCC

  • GCC
  • Revenue in the Smart Home market is projected to reach US$754.9m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.77%, resulting in a projected market volume of US$1,259.0m by 2029.
  • Household penetration will be 74.8% in 2024 and is expected to hit 87.8% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to US$58.29.
  • A global comparison reveals that most revenue is generated United States (US$38,800.0m in 2024).
 
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Analyst Opinion

The Smart Home market in GCC has been witnessing significant growth and adoption in recent years.

Customer preferences:
Customers in the GCC region are increasingly leaning towards smart home solutions that offer convenience, energy efficiency, and enhanced security. The demand for connected devices that can be controlled remotely via smartphones or voice assistants is on the rise.

Trends in the market:
One notable trend in the GCC Smart Home market is the integration of artificial intelligence and machine learning technologies. This allows for more personalized and automated experiences for users, catering to their specific needs and preferences. Additionally, the emphasis on sustainability and green living is driving the adoption of smart home devices that help reduce energy consumption.

Local special circumstances:
The GCC region's unique demographics, with a large expatriate population and high-income households, contribute to the growth of the Smart Home market. Expatriates often seek smart home solutions to manage their properties remotely, while affluent locals are early adopters of luxury smart home technologies. The extreme weather conditions in the region also drive the demand for smart climate control systems.

Underlying macroeconomic factors:
The growing urbanization and infrastructure development in the GCC countries play a significant role in the expansion of the Smart Home market. As cities in the region become more interconnected and technologically advanced, the demand for smart home solutions is expected to increase. Additionally, government initiatives promoting smart city development and sustainable living further fuel the growth of the market.

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
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