Comfort & Lighting - Baltics

Baltics

Highlights

The projected revenue for the Comfort & Lighting market in the Baltics is estimated to reach US$23.8m in 2024.
This projection is based on an expected annual growth rate of 14.03% (CAGR 2024-2028), which would result in a market volume of US$40.2m by 2028.
Additionally, it is anticipated that the number of active households in the Baltics will reach 272.2k users by 2028.
In terms of household penetration, it is expected to be 5.3% in 2024 and is projected to increase to 9.5% by 2028.
This indicates a growing adoption of Comfort & Lighting market solutions among households in the Baltics.
Currently, the average revenue per installed Smart_Home in the Baltics is expected to be US$159.00.
This figure represents the average amount of revenue generated per Smart_Home installation.
When comparing the global market, it is worth noting that United States generates the highest revenue in the Comfort & Lighting market.
In 2024, United States is projected to generate US$3.7bn in revenue.
This highlights the significant market presence and potential of the United States in this industry.
Baltics is embracing smart home technology, with an increasing demand for energy-efficient lighting and automated comfort systems.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Comfort & Lighting segment includes devices such as door and window sensors or shutters as well as smart bulbs. Because almost all devices in this segment are relatively cheap and especially smart bulbs are easy to install, the products from this segment are used as a market entry by customers. Depending on the specific product, several companies dominate the market. In the field of smart bulbs, key players are Philips Hue, TP-Link, Lifi Labs or IKEA with Tradfi. Besides the general functions of on/off switches, dimming and color-changing modes, we don't see any major innovations at the time but products of this segment are a bridging technology and will be likely absorbed by the corresponding traditional consumer markets.

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.