Smart Home - Italy

  • Italy
  • In Italy, the Smart Home market is projected to witness a significant growth in revenue, reaching a staggering US$1,340.0m by the year 2024.
  • This growth is expected to continue at an annual rate of 9.04%, resulting in a projected market volume of US$1,894.0m by 2028.
  • Furthermore, it is predicted that the number of active households in the Smart Home market will reach [users_currentlayer_yearend] by 2028.
  • This indicates a substantial increase in household penetration, which is projected to rise from 17.6% in 2024 to 35.2% by 2028.
  • When considering the average revenue per installed Smart Home market, it is estimated to currently amount to US$285.90.
  • In a global perspective, it is worth noting that United States generates the highest revenue in the Smart Home market, with a staggering US$38,800.0m in 2024.
  • The adoption of smart home technology in Italy is steadily increasing, with homeowners embracing connected devices for enhanced security and energy efficiency.

Key regions: United States, United Kingdom, Germany, Europe, Norway

 
Market
 
Region
 
Region comparison
 
Currency
 

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 segment. 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 digital products and services 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 twice a year in case market dynamics change.

Overview

  • Revenue
  • Smart Homes
  • Demographics
  • Key Players
  • Global Comparison
  • Methodology
  • Key Market Indicators
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Ayana Mizuno
Ayana Mizuno
Junior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)