Control & Connectivity - D-A-CH

D-A-CH

Revenue in the Control & Connectivity market is projected to reach US$2.3bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 9.59%, resulting in a projected market volume of US$3.6bn by 2029.
In the Control & Connectivity market, the number of active households is expected to amount to 57.8m users by 2029.
Household penetration will be 34.3% in 2024 and is expected to hit 116.8% by 2029.
The average revenue per installed Smart Home currently is expected to amount to US$135.70.

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Analyst Opinion

The Control & Connectivity market in D-A-CH is experiencing steady growth and development due to several key factors.

Customer preferences: Customers in the D-A-CH region have a strong preference for advanced control and connectivity solutions that enhance efficiency and productivity. They are increasingly looking for integrated systems that can streamline operations and improve decision-making processes. Additionally, there is a growing demand for solutions that can provide real-time data and analytics to support predictive maintenance and optimize performance.

Trends in the market: One of the key trends in the Control & Connectivity market in D-A-CH is the adoption of Industrial Internet of Things (IIoT) technologies. Companies are leveraging IIoT to connect and control various devices and systems, enabling them to gather and analyze data in real-time. This allows for better visibility and control over operations, leading to improved efficiency and cost savings. Another trend in the market is the increasing use of cloud-based control and connectivity solutions. Cloud platforms offer scalability, flexibility, and cost-effectiveness, making them an attractive option for businesses in the region. Cloud-based solutions also enable remote monitoring and control, allowing companies to manage their operations from anywhere, at any time.

Local special circumstances: The D-A-CH region is known for its strong manufacturing and industrial sectors. This has created a favorable environment for the growth of the Control & Connectivity market. Companies in the region are investing in automation and digitalization to stay competitive in the global market. The presence of several leading industrial technology companies in D-A-CH also contributes to the development of the market.

Underlying macroeconomic factors: The stable economic conditions in the D-A-CH region have played a significant role in the growth of the Control & Connectivity market. The region has a strong GDP per capita and a high level of disposable income, which enables businesses to invest in advanced control and connectivity solutions. Additionally, the region's focus on innovation and technological advancements has created a supportive ecosystem for the development of the market. In conclusion, the Control & Connectivity market in D-A-CH is experiencing growth and development driven by customer preferences for advanced solutions, trends such as IIoT and cloud-based technologies, local special circumstances including a strong manufacturing sector, and underlying macroeconomic factors such as stable economic conditions and a focus on innovation.

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.