Control & Connectivity - China

China

Revenue in the Control & Connectivity market is projected to reach €4.2bn in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 11.60%, resulting in a projected market volume of €7.2bn by 2029.
In the Control & Connectivity market, the number of active households is expected to amount to 167.8m users by 2029.
Household penetration will be 10.5% in 2024 and is expected to hit 33.7% by 2029.
The average revenue per installed Smart Home currently is expected to amount to €80.65.

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Analyst Opinion

The Control & Connectivity market in China has been experiencing significant growth in recent years.

Customer preferences: Chinese consumers have shown a strong preference for smart home devices and connected technology. With the increasing adoption of smartphones and the internet, there is a growing demand for products that offer convenience and connectivity. Consumers are looking for solutions that can control and monitor their homes remotely, such as smart thermostats, security systems, and lighting controls. Additionally, there is a growing interest in connected devices for healthcare monitoring and wearable technology.

Trends in the market: One of the key trends in the Control & Connectivity market in China is the integration of artificial intelligence (AI) and machine learning (ML) technologies. This allows for more advanced and personalized control and automation systems. For example, AI-powered voice assistants are becoming increasingly popular, allowing users to control their smart home devices through voice commands. In addition, ML algorithms are being used to analyze data from connected devices, enabling predictive maintenance and energy optimization. Another trend in the market is the increasing focus on energy efficiency and sustainability. Chinese consumers are becoming more aware of the environmental impact of their actions and are seeking products that help them reduce their carbon footprint. This has led to the development of smart energy management systems that can optimize energy usage and reduce wastage. For example, smart thermostats can learn users' preferences and adjust temperature settings accordingly, leading to energy savings.

Local special circumstances: China has a large population and a rapidly growing middle class, which has contributed to the strong demand for Control & Connectivity products. The government has also played a significant role in promoting the adoption of smart home technology through various initiatives and policies. For example, the "Made in China 2025" initiative aims to develop China into a global leader in high-tech industries, including smart home technology.

Underlying macroeconomic factors: China's strong economic growth and rising disposable incomes have fueled the demand for Control & Connectivity products. The country's urbanization process has also contributed to the growth of the market, as more people move to cities and seek modern and convenient living solutions. Additionally, the increasing penetration of the internet and smartphones has created a favorable environment for the adoption of connected technology. In conclusion, the Control & Connectivity market in China is experiencing significant growth due to customer preferences for smart home devices and connected technology. The integration of AI and ML technologies, as well as the focus on energy efficiency and sustainability, are key trends in the market. China's large population, government initiatives, strong economic growth, and rising disposable incomes are underlying macroeconomic factors that are driving the growth of the market.

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.