Comfort & Lighting - Kenya

Kenya

In 2024, the projected revenue in the Comfort & Lighting market in Kenya is expected to reach €2.9m.
Looking ahead, the revenue is anticipated to demonstrate an annual growth rate (CAGR 2024-2028) of 10.41%, resulting in a projected market volume of €4.2m by 2028.
Furthermore, within the Comfort & Lighting market, the number of active households in Kenya is projected to amount to 1.9m users by 2028.
Moreover, the household penetration is expected to increase from 4.9% in 2024 to 11.3% by 2028.
Currently, the average revenue per installed Smart_Home in Kenya is estimated to be €4.02.
When comparing globally, it is worth noting that in the United States generates the highest revenue, with €3,409.0m in 2024.
Kenya is experiencing a growing demand for energy-efficient lighting solutions to enhance comfort and reduce electricity costs.

Key regions: Norway, Sweden, Denmark, United States, South Korea

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Analyst Opinion

The Comfort & Lighting segment includes devices such as door and window sensors or shutters as well as smart bulbs. Because almost all devices in this segment are relatively cheap and especially smart bulbs are easy to install, the products from this segment are used as a market entry by customers. Depending on the specific product, several companies dominate the market. In the field of smart bulbs, key players are Philips Hue, TP-Link, Lifi Labs or IKEA with Tradfi. Besides the general functions of on/off switches, dimming and color-changing modes, we don't see any major innovations at the time but products of this segment are a bridging technology and will be likely absorbed by the corresponding traditional consumer markets.

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 segment. 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 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 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 twice a year in case market dynamics change.