Smart Appliances - Thailand

  • Thailand
  • Revenue in the Smart Appliances market is projected to reach €104.1m in 2024.
  • Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 13.06%, resulting in a projected market volume of €192.3m by 2029.
  • In the Smart Appliances market, the number of active households is expected to amount to 2.9m users by 2029.
  • Household penetration will be 7.6% in 2024 and is expected to hit 17.3% by 2029.
  • The average revenue per installed Smart Home currently is expected to amount to €82.30.
 
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Analyst Opinion

The Smart Appliances market in Thailand has been experiencing significant growth in recent years.

Customer preferences:
Thailand's consumers are increasingly looking for convenience and efficiency in their daily lives, which has led to a growing demand for smart appliances. These appliances offer features such as remote control, automation, and energy-saving capabilities, which align with the preferences of Thai consumers. Additionally, as the country becomes more urbanized, space constraints are a concern for many households. Smart appliances, with their compact designs and multifunctionality, are a practical solution for maximizing limited space.

Trends in the market:
One of the key trends in the Smart Appliances market in Thailand is the increasing adoption of smart home systems. These systems allow consumers to control and monitor multiple appliances through a central hub or smartphone app. This trend is driven by the rising popularity of Internet of Things (IoT) technology and the desire for seamless integration and automation in the home. As a result, manufacturers are incorporating smart features into a wide range of appliances, including refrigerators, washing machines, air conditioners, and kitchen appliances. Another trend in the market is the focus on energy efficiency. Thailand has been actively promoting energy conservation in recent years, and smart appliances play a crucial role in achieving this goal. These appliances are designed to optimize energy usage by adjusting settings based on usage patterns and real-time data. This not only helps consumers save on their utility bills but also contributes to the country's sustainability efforts.

Local special circumstances:
Thailand's high smartphone penetration rate and widespread internet connectivity have created a conducive environment for the adoption of smart appliances. With the increasing availability of affordable smartphones and internet plans, more consumers have access to the technology required to control and monitor their appliances remotely. Furthermore, the government's initiatives to promote digitalization and smart city development have also contributed to the growth of the Smart Appliances market in Thailand.

Underlying macroeconomic factors:
Thailand's growing middle class and rising disposable incomes are key drivers of the Smart Appliances market. As consumers become more affluent, they are willing to invest in appliances that offer convenience, efficiency, and advanced features. Additionally, the country's rapid urbanization and changing lifestyles have created a demand for smart appliances that can adapt to limited living spaces and busy schedules. In conclusion, the Smart Appliances market in Thailand is experiencing significant growth due to customer preferences for convenience and efficiency, the increasing adoption of smart home systems, a focus on energy efficiency, the country's high smartphone penetration rate, and favorable macroeconomic factors such as a growing middle class and rising disposable incomes.

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.

Visión general

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