Smart Appliances - Central & Western Europe

Revenue in the Smart Appliances market is projected to reach US$9.8bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.24%, resulting in a projected market volume of US$16.0bn by 2029.
In the Smart Appliances market, the number of active households is expected to amount to 85.7m users by 2029.
Household penetration will be 16.9% in 2024 and is expected to hit 57.7% by 2029.
The average revenue per installed Smart Home currently is expected to amount to US$395.80.

Definition:

Smart Appliances market includes connected versions of all kinds of household appliances. This includes large appliances (fridges, washing machines, ovens etc.) as well as small appliances (microwaves, coffee machines, vacuum and mowing robots etc.), provided they are connected to the internet. An indirect connection via a local network is also possible, as long as the remote access and control of the respective appliances via the connection is given.

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 Irobot, LG, Samsung, Xiaomi, and other brands 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.

Directly or indirectly internet-controllable household appliances
Large appliances such as fridges, washing machines, dishwashers, ovens (e.g., Samsung Side-by-Side, E, 614 ℓ, LG GSXV90MCDE Side-by-Side )
Small appliances such as coffee machines (e.g., Bosch CTL636EB6), vacuum and mowing robots (e.g., Roborock S8 Pro Ultra Robot Vacuum Cleaner), microwaves (e.g., SARO SAMSUNG MJ2691)

Any other smart home device (partially also referred to as “appliances”)
Any non-connected household appliances
B2B/C2C sales of any kind (e.g., to hotels or office buildings)

The Smart Appliances market in Central & Western Europe is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this expansion.

Customer preferences in Central & Western Europe are shifting towards smart appliances due to their convenience and energy-saving features. Consumers are increasingly looking for appliances that can be controlled remotely through smartphones or voice assistants. The ability to monitor and control appliances from anywhere provides a sense of convenience and flexibility.

Additionally, smart appliances are designed to be energy-efficient, which aligns with the growing awareness and demand for sustainable and eco-friendly products. Trends in the market indicate a rise in the adoption of smart appliances across Central & Western Europe. The increasing availability and affordability of these products are driving their popularity.

Manufacturers are investing in research and development to improve the functionality and connectivity of smart appliances, making them more user-friendly and intuitive. Additionally, the integration of artificial intelligence and machine learning technologies is enhancing the capabilities of these appliances, enabling them to learn user preferences and adapt accordingly. Local special circumstances in different countries within Central & Western Europe also contribute to the development of the smart appliances market.

For example, in countries with a high population density and limited living space, such as the Netherlands, there is a greater demand for compact and space-saving appliances. Smart appliances that are designed to fit seamlessly into smaller living spaces are particularly appealing to consumers in these regions. Furthermore, countries with a strong focus on sustainability, such as Germany, are witnessing a higher adoption rate of smart appliances that promote energy efficiency and reduce environmental impact.

Underlying macroeconomic factors play a crucial role in the growth of the smart appliances market in Central & Western Europe. The region has a relatively high disposable income, allowing consumers to invest in premium and technologically advanced appliances. Moreover, the increasing penetration of internet connectivity and the widespread use of smartphones create a favorable environment for the adoption of smart appliances.

The presence of a well-established retail infrastructure and e-commerce platforms further facilitates the accessibility and availability of these products to consumers. In conclusion, the Smart Appliances market in Central & Western Europe is experiencing growth due to shifting customer preferences towards convenience and energy efficiency. The market is driven by trends such as improved functionality and connectivity, as well as the integration of AI and machine learning technologies.

Local special circumstances, such as limited living space and a focus on sustainability, also contribute to the development of the market. Underlying macroeconomic factors, including disposable income and internet connectivity, further support the growth of the smart appliances market in Central & Western Europe.

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.

This report presents a comprehensive analysis and additional information on the Consumer market, in a PDF format.

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