Smart Appliances - D-A-CH

  • D-A-CH
  • Revenue in the Smart Appliances market is projected to reach US$3.7bn in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.43%, resulting in a projected market volume of US$5.8bn by 2029.
  • In the Smart Appliances market, the number of active households is expected to amount to 38.3m users by 2029.
  • Household penetration will be 22.4% in 2024 and is expected to hit 77.4% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to US$0.34k.
 
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Analyst Opinion

The Smart Appliances market in D-A-CH, which includes Germany, Austria, and Switzerland, has been experiencing significant growth in recent years. This can be attributed to several factors, including changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors.

Customer preferences in the Smart Appliances market have shifted towards convenience, efficiency, and connectivity. Consumers are increasingly looking for appliances that can be controlled remotely through smartphone apps or voice assistants. They also seek appliances that are energy-efficient and environmentally friendly.

Moreover, there is a growing demand for appliances that offer innovative features and technologies, such as smart home integration and artificial intelligence. In terms of trends, the Smart Appliances market in D-A-CH is witnessing a rise in the adoption of smart kitchen appliances. This includes smart refrigerators, ovens, coffee machines, and dishwashers, among others.

These appliances offer features like inventory management, recipe suggestions, and remote control, making kitchen tasks more convenient and efficient. The demand for smart home appliances, such as smart thermostats and smart lighting, is also increasing, as they provide energy-saving benefits and enhance home automation. Local special circumstances in D-A-CH also contribute to the development of the Smart Appliances market.

The region has a high standard of living and a strong focus on sustainability. This drives the demand for energy-efficient appliances that help reduce carbon footprint and lower electricity bills. Additionally, the presence of renowned German engineering and manufacturing companies in the region ensures the availability of high-quality and reliable smart appliances.

Underlying macroeconomic factors further support the growth of the Smart Appliances market in D-A-CH. The region has a stable economy with high disposable incomes, allowing consumers to invest in premium and technologically advanced appliances. Moreover, government initiatives and regulations promoting energy efficiency and smart home technologies encourage the adoption of smart appliances.

These factors create a favorable market environment for the growth of the Smart Appliances industry in D-A-CH. In conclusion, the Smart Appliances market in D-A-CH is experiencing growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The demand for convenient, efficient, and connected appliances is driving the adoption of smart kitchen and home appliances in the region.

With a focus on sustainability and a strong economy, D-A-CH presents a lucrative market for smart appliance manufacturers and suppliers.

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.

Overview

  • Revenue
  • Key Players
  • Product Types
  • Global Comparison
  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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