- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
What is IoT Data?
IoT data is vast amount of information generated by interconnected devices and sensors in the Internet of Things (IoT) ecosystem. It includes various types of data such as sensor readings, environmental data, user interactions, and device statuses. This data is collected, transmitted, and analyzed to derive insights, enable automation, and improve decision-making in various domains like healthcare, manufacturing, transportation, and smart homes.
Examples of IoT data include temperature readings from smart thermostats, location data from GPS trackers, and health data from wearable devices. IoT data is used for various purposes such as monitoring and controlling devices remotely, analyzing patterns and trends, optimizing processes, and making data-driven decisions. In this page, you’ll find the best data sources for IoT datasets, including IoT dataset providers, IoT data sources, IoT sensor datasets, industrial IoT datasets, and various IoT data sets.
Best IoT Databases & Datasets
Here is our curated selection of top IoT Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
IoT Data | Coverage Data | Europe and North America LPWAN (LTE-M and NB-IOT) coverage and availability
Startup Data | Technology Startups Worldwide | Verified Profiles & Insights | Best Price Guaranteed
Unacast Audience Targeting Data - 1Bn MAIDs
BigCommerce stores list- 46k+ stores worldwide | scrapelabs.io
Humidity Data | Real-time & Historical | US and EU Sensor Network
Manufacturing Company Data | APAC Manufacturing Industry | Verified Business Profiles | Best Price Guaranteed
Magento stores list - 141k+ stores worldwide | scrapelabs.io
Complete IP Whois dataset (all IPv4 addresses)
Environmental Risk Data | Real-time & Historical | US and EU | ESG Reporting |Climate Risk Modeling
Email Address Data | IT Companies in Europe | Verified Business Profiles & Contacts - Unbeatable Price
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Top IoT Data Providers & Companies
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Teragence
CoverageUSAUK+51VWavemobile is "the mobile network for not spots". We deploy our proprietary equipment in locations where there is zero coverage, enabling rural and remote communities to enjoy quality mobile coverage. Teragence coverage data has given us the capability to quickly verify locally available mobile connectivity- and to do this from the comfort of our own offices. This has given us significant time and money savings and the ability to better target our sales and marketing efforts . I highly recommend Teragence for anyone who wants to understand local mobile connectivity at a granular level.
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KASPR Datahaus
CoverageUSAUK+238We monitor the pulse of the digital world. Every day, our global infrastructure collects 3.5 billion measurements from over 400 million online fixed internet end-points at any location. KASPR Datahaus offers clients novel insights and an informational advantage at an unprecedented level of detail. -
Wejo
Wejo is a data provider offering Vehicle Location Data, Automotive Data, and IoT Data. They are headquartered in United States of America.
Popular Use Cases for IoT Data
IoT Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for IoT Data.
Main Attributes of IoT Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The name of a country. | View 11 datasets | |
| String | The domain name of a company website. Potential ID to match company records. | View 10 datasets | |
| String | The name of a company or business, might be the legal or brand name. | View 9 datasets | |
| String | The LinkedIn profile of a company. | View 8 datasets | |
| String | The email address of a company or contact. | View 8 datasets | |
| String | The approx. number of employees working for a company. | View 7 datasets |
Frequently Asked Questions
How is the Quality of IoT Data Maintained?
The quality of IoT Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is IoT Data Updated?
The update frequency for IoT Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is IoT Data Secure?
The security of IoT Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is IoT Data Delivered?
IoT Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for IoT Data.
How Much Does IoT Data Cost?
The cost of IoT Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of IoT Data for your needs.
What Are Similar Data Types to IoT Data?
IoT Data is similar to other data types, such as Mobile Network Coverage, Fixed Network Coverage Data, Broadband Data, and ISP Data. These related categories are often used together for applications like Data Science.
