Definition:
The Smart Home market constitutes the sale of networked devices and related services that enable home automation for private end users (B2C). Considered are devices that are connected directly or indirectly via a so-called gateway to the Internet. Their main purposes are the control, monitoring, and regulation of functions in a private household.
The remote control and monitoring of individual devices and, if applicable, their direct communication with one another (Internet of Things), is an essential component of intelligent home automation.
Devices whose primary function is not the automation or remote control of household equipment, e.g., smartphones and tablets, are not included here. Similarly, devices that relate to household connection and remote control only to a limited extent, such as smart TVs, are not included either.
Structure:
Smart Home is segmented into six main markets:
Additional Information:
The market comprises revenue, average revenue per smart home, number of smart homes so as the household penetration rate by smart home, and key players. Figures are generated through both online and offline sales channels and include exclusive spending by consumers (B2C). Market leaders include Samsung, LG, Amazon, Google, Ring, and Bosch, renowned for their innovation, brand recognition, and expansive distribution channels within their respective categories. For more information on the data displayed, use the info button right next to the 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: Mar 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
Most recent update: Oct 2024
Source: Statista Market Insights
The Smart Home market in Papua New Guinea is experiencing a shift towards more technologically advanced and interconnected homes.
Customer preferences: Customers in Papua New Guinea are increasingly looking for smart home solutions that offer convenience, security, and energy efficiency. The desire for ease of use and control over home devices remotely is driving the demand for smart home technology in the country.
Trends in the market: The Smart Home market in Papua New Guinea is witnessing a trend towards the adoption of smart security systems, automated lighting, and energy management solutions. As urbanization increases and disposable incomes rise, more households are investing in smart home devices to enhance their quality of life.
Local special circumstances: Papua New Guinea's unique geographical landscape, with a mix of urban and rural areas, presents challenges and opportunities for the Smart Home market. In urban centers, the focus is on security and convenience, while in rural areas, the emphasis may be more on energy efficiency and connectivity.
Underlying macroeconomic factors: The growing middle class in Papua New Guinea, coupled with increasing internet penetration and smartphone usage, is fueling the demand for smart home products. Additionally, government initiatives to promote sustainable living and energy conservation are encouraging the adoption of smart home solutions in the country.
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