Security - Kenya

Kenya

The projected revenue in the Security market in Kenya is expected to reach €7.9m in 2024.
This indicates a positive growth trend, with an annual growth rate of 9.36% projected for the period of 2024 to 2028.
By 2028, the market volume is estimated to reach €11.3m.
In terms of market penetration, the number of active households in the Security market is predicted to reach 1.4m users by 2028.
This indicates a significant increase in household participation in security services.
The household penetration rate is expected to be 3.3% in 2024 and is projected to reach 8.3% by 2028.
This growth suggests an increasing awareness and adoption of security services among households in Kenya.
Currently, the average revenue per installed Smart_Home in Kenya is expected to be €16.26.
This figure represents the revenue generated per household in the Security market.
When comparing the global market, it is noteworthy that in the United States generates the highest revenue in the Security market.
In 2024, in the United States is projected to generate €6,316.0m in revenue.
This highlights the dominant position of the United States in the global security market.
Kenya's security market is experiencing a rise in demand for advanced surveillance systems to combat increasing crime rates.

Key regions: Asia, Japan, United Kingdom, Norway, Europe

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Región

Comparación de regiones

Moneda

Analyst Opinion

The Security segment targets the prevention/detection of burglaries, notifications about hazards such as fire or water leakage, emergency calls and access control. Its development is mainly driven by the replacement of traditional devices with connected ones. Main growth products in this case are smart locks and smart security cameras. Companies from several different industries compete in this market. Next to traditional security companies (e.g. ADT) and tech start-ups (Canary or Alarm.com), media companies and connectivity providers (e.g. AT&T or Comcast) also play an important role due to the high amounts of data that need to be transferred, especially in the video surveillance case. Developments vary strongly with country-specific conditions like burglary rates.

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.