It is an undeniable fact that having IoT devices makes it easier to function and improves the quality of your performance in your daily activities. That said, ensure to use these devices to your advantage to the best of their potential by leveraging data with robust IoT analytics software at your disposal.


16+ IoT Analytics Software

1. Datadog

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Rating: 4.6/5

Price: FREE

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2. ThingSpeak

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Rating: 5/5

Price: FREE

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3. Google Cloud IoT Core

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Rating: 4.6/5

Price: $300/month

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4. AWS IoT Analytics

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Rating: 4.5/5

Price: Custom

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5. AT&T IoT Platform

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Rating: 5/5

Price: Custom

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6. BellaDati

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Rating: 5/5

Price: Custom

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7. ThingsBoard

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Rating: 5/5

Price: $10/month

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8. Apache Iota

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Rating: 5/5

Price: Custom

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9. AWS IoT SiteWise

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Rating: 5/5

Price: $1/month

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10. Axonize

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Rating: 4..8/5

Price: Custom

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11. Ayla IoT Platform

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Rating: 5/5

Price: FREE

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12. Bosch IoT Suite

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Rating: 4.8/5

Price: Custom

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13. EVRYTHNG

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Rating: 5/5

Price: Custom

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14. Freeboard

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Rating: 4.5/5

Price: $12/month

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15. AppDynamics

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Rating: 4.7/5

Price: FREE

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16. Sumo Logic

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Rating: 4.7/5

Price: $305/month

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17. Fleet Connect

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Rating: 4.4/5

Price: $35/month

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What Is IoT Analytics Software?

IoT (Internet of Things) analytics software is a modern solution for collecting and organizing intelligence from existing IoT devices used by the business. It gathers data analytics and information with varying formats across multiple sources and analyzes them before storing them for processing.

With this, you can get better insights into equipment management and preventive maintenance. This software uses artificial intelligence to make decisions and predictions for monitoring the performance and health of equipment, hardware, and machines.

Benefits

Having this software solution makes the procedure of incorporating workflow automation in your processes more seamless. It provides you with the information necessary to monitor results and make appropriate adjustments to optimize outcomes. Also, with this, you can make more informed decisions and allow data to flow smoothly. 

Features

When you search for available IoT analytics solutions in the software market, you will get back plenty of results. Each of them can help you in specific areas when gathering intelligence and organizing data from your IoT devices. That said, making the right choice is a crucial step for attaining the goals you set. To do so, you need to look into the essential aspects that will help you determine their compatibility with your organization and how they fit your demands. Their pricing plans, service offerings, quality of interface design, capabilities for configuration, and the following features are components of an effective IoT analytics platform:

  • Predictive analytics tools
  • Machine learning features
  • Data visualization functionalities
  • Scheduled querying capabilities
  • Data capture tools
  • Asset management tools
  • Predictive maintenance functionalities
  • Data collection features

Top 10 IoT Analytics Software

1. AWS IoT Analytics

With this IoT data analytics software, you can use real-time monitoring and data visualization capabilities. Amazon has employed 1,468,000 people and has 386.064 billion dollars in revenue.

2. Google Cloud IoT Core

With this IoT analytics solution, you can streamline the processes involved in configuration management and big data management processes. Google has 139,995 people in its team and has 66 billion dollars in revenue.

3. Datadog

This DevOps software has incident management and capacity management tools. They have a revenue of 603 million dollars and have 1,085 employees in their team.

4. Bosch IoT Suite

Device management and connectivity management tools are features you can use in this IoT solution. They have generated a revenue of 67.1 million dollars and have employed 463 people.

5. Ayla IoT Platform

Ayla IoT Platform is a platform that provides users with connectivity management and application development capabilities. They have 145 people in their team and have a generated revenue of 21 million dollars.

6. AT&T IoT Platform

Functionalities for usage monitoring and network intelligence functionalities are accessible in this software. They have 10 million dollars in generated revenue and have 51 employees.

7. ThingsBoard

ThingsBoard is an IT management software with inventory management and maintenance scheduling capabilities. They have 36 employees and have 5.2 million dollars in revenue.

8. Axonize

Axonzie is an IoT software with artificial intelligence and workflow automation tools. They have a generated revenue of 4.3 million dollars and have 30 employees working for them.

9. BellaDati

With BellaDati, you can simplify the complexities of KPI monitoring and dashboard generation. They have a revenue of 4.3 million dollars and have 22 people working for them.

10. ThingSpeak

This IoT software has functionalities for data collection and asset tracking. They have 30 employees and have 2.2 million dollars in generated revenue.

FAQs

What are IoT devices?

IoT devices are physical devices embedded with technology and connected to the internet, allowing them to transmit data and program them to perform tasks through automated methods. Sensors, hardware, and built-in technologies are integrated in these devices to transform them into intelligent IoT devices that can interact with each other to send and exchange information.

Why is analytics essential in IoT device management?

Data analytics in IoT devices allows companies to derive helpful conclusions and determine patterns that are relevant and dependent on each other. With this, you can realize how to pivot your IoT device management strategies to improve workflows and enhance results to heighten operational efficiency and increase profitability. Also, IoT analytics makes intelligent predictions for responding to specific situations.

What are the responsibilities of data analysts in IoT?

Data analysts are responsible for examining the data generated by IoT devices to determine trends and develop strategies to meet customer needs. Also, their duties include studying data to answer the questions raised regarding the business functions. Monitoring data for managing preventive maintenance is also part of the job description.

 Identify patterns and relationships in your data to determine trends and keep up with the interest of your market by getting your hands on helpful insights from your IoT devices. Increase the profitability of your business and boost your sales by using the best IoT analytics software to achieve customer satisfaction and ensure organizational effectiveness. 


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