Internet of Things - Peru | Statista Market Forecast

Peru is projected to generate a revenue of US$1.67bn in the Internet of Things market (IoT) market by 2024.
The automotive IoT segment is expected to dominate this market, with a projected market volume of US$443.30m in the same year.
It is anticipated that the revenue will experience an annual growth rate (CAGR 2024-2029) of 10.63%, resulting in a market volume of US$2.76bn by 2029.
When compared globally, United States is expected to generate the highest revenue, reaching US$342.50bn in 2024.
Peru is witnessing a surge in IoT adoption, with smart agriculture solutions leading the way in enhancing productivity and sustainability in the agricultural sector.

Definition:

The term Internet of Things (IoT) describes a network of physical and virtual devices that are able to communicate autonomously with each other using the Internet Protocol (IP). The physical devices are embedded with sensors, software and connectivity capabilities that enable them to collect and exchange data over the internet. Its scope encompasses a wide range of use cases from household objects to more complex industrial applications.

Structure:

The IoT market consists of 7 different segments. Consumer IoT includes connected devices used by end users for personal purposes such as smart security cameras or smart home hubs. Smart Finance covers IoT applications used in financial sectors such as insurance telematics/usage-based insurance, real estate, ATMs. IoT in Healthcare covers all IoT applications in a healthcare setting such as the ones used for patient care, remote patient monitoring and surgeries. The Industrial IoT covers IoT applications in Industrial settings such as the factory & agriculture automation, supply chain optimization and predictive maintenance. Automotive IoT covers IoT use cases in mobility and transportation settings, such as the V2X connections, advanced driver assistance systems (ADAS) & telematics solutions. Other IoT covers use cases such as the ones used in professional sports such as player or equipment tracking.

Additional information:

The Internet of Things market compromises of revenue, revenue growth, IoT Investment, and a list of top companies and their consolidated revenues. The market consists of pure IoT revenues generated through the sale of hardware (such as sensors, chips, and other hardware), platforms (IoT platforms, security software and other software), connectivity (cellular, LoRa, SigFox and other connectivity) and services (integration &maintenance of equipment & systems). As an example, the pure IoT revenue for a smart security camera is only the component that makes the camera "smart" and connected, not the full product price. Reported market revenues include spending by consumers (B2C), enterprises (B2B) as well as governments (B2G). Revenues are allocated to the country where the money is spent.

The market is fragmented, but the key players in the market include Cisco (Cisco IoT platforms and software), Qualcomm, Dell EMC, and IBM.

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Devices embedded with IoT sensors
IoT technology software
IoT connectivity revenues
IoT equipment services

Smartphones
Laptops
Tablets
PCs
Other devices whose sole purpose is internet access

The Internet of Things is one of the technologies driving Industry 4.0 and it’s not a surprise that the market is seeing a CAGR of over 16% over a 10-year-period (2018-2028). Even as the global semiconductor shortage has slowed down the market supply and growth from the pre-pandemic levels, the demand for smart solutions ranging from industrial to security use cases is still on the rise. With revenues of more than US$141 billion in 2022, the U.S. is the market leader, followed by China, which is the leading manufacturer of IoT devices.

The Internet of Things market growth coincides with the development of other important technologies, such as 5G and cloud computing. The deployment of 5G communication standards paves the way for a faster and smoother connection among smart devices.

Moreover, cybersecurity remains a big challenge, which can have significant effects both on personal and professional levels. As more data is collected and transmitted from one device to another and stored in the cloud, the challenge of securing the data and assuring privacy is more present than ever.

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 market 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 segment 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.

This report presents a comprehensive analysis and additional information on the Technology market, in a PDF format.

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).