Definition:
Smart Locks market includes devices that allow users to lock and unlock doors without the need for traditional keys. These locks often integrate with smartphones, tablets, or other smart devices, enabling remote access and control through Bluetooth, Wi-Fi, or other wireless communication technologies. Smart Locks can also be connected to broader home automation systems, providing enhanced convenience and security.Additional Information:
The market comprises revenue, average revenue per smart home, number of smart homes, and household penetration rates. Figures are generated through both online and offline sales channels, focusing on consumer (B2C) spending. Key manufacturers in this segment include Schlage, Yale, Aqara, Nuki, Assa Abloy, Samsung, Allegion, Sargent and Greenleaf, MIWA, and others recognized for their expertise in security and innovative solutions. For more information on the data displayed, use the info button next to the relevant boxes.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights