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Industrial IoT - Chile

Chile
  • The Industrial IoT market in Chile is expected to experience significant growth in the coming years.
  • By 2025, the projected revenue is estimated to reach US$537.30m.
  • This growth is expected to continue with an annual growth rate of 10.26% from 2025 to 2029, resulting in a market volume of US$794.25m by the end of 2029.
  • When compared globally, it is worth noting that United States is expected to generate the highest revenue in the Industrial IoT market.
  • In 2025, United States is projected to generate a revenue of US$99.75bn, highlighting its dominance in the industry.
  • Chile is experiencing a growing demand for Industrial IoT solutions, driven by its strong mining and agriculture sectors.

Revenue

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

Most recent update: Jun 2024

Source: Statista Market Insights

Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Jun 2024

Volume

Most recent update: Mar 2024

Source: Statista Market Insights

Analyst Opinion

One of the key drivers of Industrial Internet of Things (IIoT) growth is the increasing focus on Industry 4.0, which aims to create smart factories that are highly automated and connected. IIoT technologies can help to enable this vision by providing real-time data on machine performance, production output, and other key metrics, enabling manufacturers to optimize their operations and reduce downtime.

The companies’ investment in the “smart factories” has been on the rise especially as the labor costs are rising and the percentage of manual workers has been decreasing. The business strategy of offshoring its production facilities has been shown as not the ideal solution in the times of supply chain issues. A lot of manufacturers are considering returning to “nearshoring” or bringing the factories closer to the home bases and mitigating the higher production costs and supply management risks by improving the efficiency of their machinery and operations.

Global Comparison

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

Most recent update: Jun 2024

Source: Statista Market Insights

Methodology

Data coverage

The data encompasses B2B, B2C and B2G revenues. The revenue only refers to the spending share of the Internet of Things components.

Modeling approach/ Market size:

The segment size is determined through a combination of top-down and bottom-up approaches. We use annual financial reports of the market-leading companies and industry associations, as well as third-party studies and reports to analyze the markets. To estimate the market size for each country individually, we use relevant key market indicators and data from country-specific industry associations, such as consumer spending, internet penetration, 4G coverage, and current and historical developments. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques but primarily exponential smoothing. The selection of forecasting techniques is based on the behavior of the relevant market. The main drivers are the GDP and the level of digitization.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

Technology

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Industrial IoT: market data & analysis  - BackgroundIndustrial IoT: market data & analysis  - Cover

Key Market Indicators

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

Most recent update: Jan 2025

Source: Statista Market Insights

Explore more high-quality data on related topic

Internet of Things (IoT) - statistics & facts

In the realm of technology, few concepts have captured imaginations quite like the Internet of Things (IoT). Coined in 1999 by British technologist Kevin Ashton, IoT envisioned a future where a vast network of interconnected objects would collect and analyze data, enabling them to perform tasks autonomously. While the idea seemed more like science fiction at the time, today, IoT is no longer a hypothetical concept but a rapidly unfolding reality. Thanks to the development of communication technologies such as 5G and data analytics using artificial intelligence (AI) and machine learning, IoT has applications varying from smartwatches to city infrastructure (smart cities).
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