Smart Appliances - Europe

Europe

Revenue in the Smart Appliances market is projected to reach €13.2bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 10.18%, resulting in a projected market volume of €21.4bn by 2029.
In the Smart Appliances market, the number of active households is expected to amount to 123.9m users by 2029.
Household penetration will be 12.4% in 2024 and is expected to hit 39.8% by 2029.
The average revenue per installed Smart Home currently is expected to amount to €343.90.

Marché

Région

Comparaison de régions

Monnaie

Analyst Opinion

The Smart Appliances market in Europe is experiencing significant growth and development due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. Customer preferences in Europe are shifting towards smart appliances due to their convenience, energy efficiency, and ability to enhance the overall living experience.

Consumers are increasingly looking for appliances that can be controlled remotely through smartphones or voice assistants, allowing them to monitor and manage their homes even when they are away. Additionally, the growing awareness about environmental sustainability has led to a preference for energy-efficient appliances that can help reduce electricity consumption and lower utility bills. Trends in the market also play a crucial role in the development of the Smart Appliances market in Europe.

The increasing adoption of Internet of Things (IoT) technology has paved the way for the integration of smart appliances into smart home systems. This allows for seamless connectivity and automation, where appliances can communicate with each other and perform tasks based on preset preferences or environmental conditions. For example, a smart refrigerator can automatically order groceries when supplies are running low, or a smart washing machine can optimize water and detergent usage based on the load size.

Local special circumstances further contribute to the growth of the Smart Appliances market in Europe. The region has a high level of technological advancement and infrastructure, making it conducive for the adoption of smart appliances. Moreover, the European Union has implemented regulations and standards to promote energy efficiency and reduce carbon emissions.

This has led to the development of energy-efficient appliances and incentivized consumers to choose smart appliances that align with these regulations. Underlying macroeconomic factors also play a role in the development of the Smart Appliances market in Europe. The region has a relatively high disposable income, allowing consumers to invest in premium and technologically advanced appliances.

Additionally, the increasing urbanization and busy lifestyles in Europe have created a demand for appliances that can save time and simplify household tasks. In conclusion, the Smart Appliances market in Europe is experiencing growth and development due to changing customer preferences, emerging market trends, local special circumstances, and underlying macroeconomic factors. As consumers prioritize convenience, energy efficiency, and connectivity, the market is expected to continue expanding in the coming years.

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 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.