By extracting information from the massive amounts of data created by the Internet of Things (IoT) systems and devices, analytics plays a significant part in the IoT. By analysing and evaluating the large amount of data generated from IoT devices, it enables decision-making. Analytics helps to examine client behaviour, patterns, and comments gathered from IoT devices. It permits reading sensor data, supply chain optimisation, power use monitoring, and problem-solving. Organisations may utilise analytics to identify inefficiencies, save costs, and better use resources across various industries, including logistics, energy management, manufacturing, and smart cities. Here are a few platforms for analytics:
1. AWS IoT Analytics
Amazon Web Services (AWS) offers a complete IoT analytics platform known as AWS IoT Analytics. With the aid of this platform, industries and organisations can analyse, store, visualize, and collect their IoT data to obtain new information and insights. It allows its clients to show, collect and analyse bulk IoT data produced by devices and sensors.
2. Google Cloud IoT Analytics
Google Cloud IoT Analytics is a powerful information analytics platform developed by Google Cloud. It permits clients to store, process, collect and analyze IoT information from several resources. The platform gives scalable and flexible infrastructure to deal with large volumes of IoT data, advanced analytics and ML competencies.
3. Microsoft Azure IoT Analytics
Microsoft Azure IoT Analytics, the foundational element of the Azure IoT platform, offers robust analytics for IoT data. It provides tools and services for instantly converting, analysing, and streaming IoT data. This platform can create comprehensive IoT solutions due to its simple connection with other Azure services and offerings.
4. IBM Watson IoT Platform
IBM Watson IoT Platform is a comprehensive IoT solution offering analytics abilities. It permits businesses to access, collect, and analyze IoT data with advanced analytics and AI technologies. It provides several analytics tools and services, like Watson Machine Learning, Watson Studio, and Watson Analytics.
5. Oracle IoT Analytics Cloud
Oracle IoT Analytics Cloud is a cloud-based platform allowing agencies to visualize and analyze their IoT data. It gives a set of pre-built analytics applications for unique IoT use cases, including predictive maintenance, asset monitoring, and supply chain optimization. The platform integrates with Oracle’s broader analytics and Business Intelligence (BI) ecosystem, permitting customers to leverage advanced analytics abilities and create interactive dashboards and reports.
6. Siemens MindSphere
Siemens MindSphere is an open IoT operating system that offers analytics capabilities for industrial IoT applications. It permits users to store, collect, and analyze facts from connected devices and machines in business settings. It provides advanced analytics tools and services, along with predictive analytics, data visualization, and ML algorithms to derive actionable insights from industrial data.
7. SAP Leonardo IoT
SAP Leonardo IoT is a complete IoT platform provided by SAP. It gives end-to-end IoT capabilities, including analytics allowing organizations to connect and analyze information from IoT devices and sensors. With SAP Leonardo IoT, users can gain real-time insights, optimize business processes, and develop smart IoT applications.
8. PTC ThingWorx Analytics
The IoT analytics platform PTC ThingWorx Analytics enables companies to use their data for data-driven insights and decision-making. It provides tools and services for handling and analysing, and streaming data. To find trends and patterns in IoT data, it offers sophisticated analytics capabilities, such as anomaly detection and predictive analytics.
9. Cisco Kinetic IoT Analytics
A tool known as Cisco Kinetic IoT Analytics enables businesses to analyse their IoT data. Users may monitor, evaluate, and visualise IoT data to enhance operations and grow their companies thanks to the real-time and historical data analytics it provides. To facilitate data discovery and analysis, it includes ML algorithms, pre-built analytics models, and customised dashboards.
10. Hitachi Vantara Lumada
Hitachi Vantara Lumada has analytics for processing and evaluating IoT data. It offers several analytics tools and services, which include data preparation, data ingestion, data modelling, and advanced analytics algorithms. It helps in real-time and batch data processing, allowing industries to benefit from insights from both streaming and historical data.
11. GE Predix Analytics
GE Predix Analytics is an enterprise IoT platform that gives analytics capabilities for industrial applications. Firms can store, collect, and examine data from connected industrial assets and machines. It offers several tools, which include data integration, data modelling, and predictive analytics to obtain insights from industrial data.
12. Software AG Cumulocity IoT Analytics
Software AG’s Cumulocity IoT Analytics is a cloud-based analytics platform. Firms can use the platform to handle and analyse data from IoT sensors and devices. It enables customers to monitor overall performance, optimise operational procedures, and gain insights from IoT facts. The platform provides data visualisation, anomaly detection, and predictive analytics in addition to real-time analytics.
13. Altair SmartWorks IoT Analytics
Altair SmartWorks IoT Analytics is an end-to-end IoT platform that includes analytics abilities. It permits firms to acquire, analyze, and visualize data from IoT devices. The platform offers advanced analytics tools and ML algorithms to gain insights from IoT data. It helps real-time analytics, data visualization, and dashboarding, permitting users to optimize IoT deployments and make data-driven decisions.
14. Ubidots IoT Analytics
Ubidots IoT Analytics is a cloud-based platform that offers analytics capabilities for IoT applications. It permits businesses to store, collect and analyze records from connected devices. The platform gives data visualization, real-time dashboards, and alerting features. It helps users to benefit from insights from IoT data, track key performance indicators, and optimize strategies based on data-driven decisions.
15. C3 AI Suite
C3 AI Suite is an enterprise AI platform that includes IoT analytics. It lets businesses leverage AI and ML algorithms to analyze data from several resources like IoT devices. The platform gives advanced analytics tools, predictive models, and anomaly detection abilities. It enables users to extract insights from IoT data, automate processes, and enhance business via AI-powered analytics.
16. Bosch IoT Analytics
Bosch IoT Analytics is an analytics platform by Bosch for IoT applications. It offers tools to analyze and process IoT data, enabling firms to gain insights and optimize IoT deployments. Its clients can monitor IoT devices, spot abnormalities, and produce valuable insights from IoT data. The platform supports ML algorithms for predictive analytics as well as real-time and historical data analytics.
17. Ayla Networks IoT Analytics
The cloud-based platform Ayla Networks IoT Analytics provides analytics for IoT implementations. It provides data processing, storage, and analytics solutions for IoT data. The platform enables data visualisation, real-time and historical data analytics, and ML algorithms. Customers may monitor device performance, enhance Internet of Things applications, and get knowledge from IoT data.
18. Xively by LogMeIn
IoT platform Xively by LogMeIn features analytics for IoT data. It offers services and solutions for managing, gathering, and analysing IoT data from linked devices. Predictive analytics, visualisation, and real-time data streaming are made accessible by the platform. Customers may use this to track overall performance, spot abnormalities, and get knowledge from IoT data to advance their businesses.
19. Losant IoT Platform
A cloud-based platform called Losant IoT Platform provides analytics for IoT applications. To study IoT data, it provides tools for data input, processing, and visualisation. In addition to ML algorithms for predictive analytics, the platform supports real-time and historical data analytics. Customers may use it to construct personalised dashboards, design processes, and get insights from IoT data.
20. Seeq Industrial IoT Analytics
For business IoT analytics, a platform known as Seeq Industrial IoT Analytics is used. The platform provides advanced analytics methods, including time-series analysis, pattern recognition, and predictive analytics. Businesses can prepare, collect, and analyse data from IIoT systems and devices using this platform. It helps businesses to enhance operational performance, optimise operations, and get knowledge from industrial data.
