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Smart Home - Papua New Guinea

Papua New Guinea
  • The Smart Home market in Papua New Guinea is anticipated to witness substantial growth in the coming years.
  • By 2024, the projected revenue is estimated to reach US$9.3m.
  • This growth is expected to continue with an annual growth rate of 12.52% (CAGR 2024-2028), resulting in a projected market volume of US$15.0m by 2028.
  • Moreover, the number of active households in the Smart Home market is predicted to reach [users_currentlayer_yearend] by 2028.
  • This indicates a steady increase in household penetration, which is forecasted to be 3.1% in 2024 and is expected to reach 5.1% by 2028.
  • Currently, the average revenue per installed Smart Home market stands at US$153.20.
  • This figure demonstrates the potential for revenue generation from each individual Smart Home market installation.
  • In a global perspective, United States leads the market with the highest revenue generation.
  • In 2024, United States is projected to generate a revenue of US$38.8bn, surpassing other countries in the Smart Home market.
  • Papua New Guinea's smart home market is experiencing slow growth due to limited infrastructure and high costs of implementing smart technology.

The Smart Home market constitutes the sale of networked devices and related services that enable home automation for private end users (B2C). Considered are devices that are connected directly or indirectly via a so-called gateway to the Internet. Their main purposes are the control, monitoring and regulation of functions in a private household.

The remote control and monitoring of individual devices and, if applicable, their direct communication with one another (Internet of Things), is an essential component of intelligent home automation. Therefore, services which are necessary for the maintenance or control of the household network are also considered, e.g. subscription fees for control apps or external monitoring services.

Devices whose primary function is not the automation or remote control of household equipment, e.g. smartphones and tablets, are not included here. Similarly, devices that relate to household connection and remote control only to a limited extent, such as smart TVs, are not included either.

In-Scope

  • Digitally connected and controlled devices within a house that can be remote controlled
  • Sensors, actuators and cloud services that support automation in any way
  • Control hubs to connect sensors and actuators with remote controls and to each other
  • B2C hardware and software sales as well as subscription fees

Out-Of-Scope

  • Smart TVs
  • B2B/C2C sales of any kind (e.g. to hotels or office buildings)
Smart Home: market data & analysis - Cover

Market Insights Report

Smart Home: market data & analysis

Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Smart Homes

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Key Players

    Most recent update: Mar 2024

    Source: Statista Market Insights

    Global Comparison

    Most recent update: Mar 2024

    Source: Statista Market Insights

    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.

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    Smart Home: market data & analysis - BackgroundSmart Home: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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    Smart home - statistics & facts

    Smart homes use connected devices and appliances to perform actions, tasks, and automated routines to save money, time, and energy. They are the ongoing revolution of the humble home appliance mixed with AI, robotics, and improvement in IoT technologies. AI in particular, speeding up response times and working as an automation bridge between homeowner and home is already having an impact.
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