Best IoT Analytics Solutions

What are IoT Analytics?

IoT Analytics solutions offer a comprehensive understanding of connected devices by transforming raw data into actionable insights. They help organizations make informed decisions, enhance operational efficiency, and predict future trends effectively.

The top 5 IoT Analytic solutions are ThingSpeak, Google Cloud IoT Core, AWS IoT Analytics, Software AG TrendMiner and Cumulocity IoT DataHub, as ranked by PeerSpot users in February 2025. ThingSpeak received the highest rating of 0.0 among the leaders, is the most popular solution in terms of searches by peers, and holds the largest mind share of 42.8%.

IoT Analytics solutions enable real-time monitoring and analysis of data generated by IoT devices across networks. Organizations can leverage these tools to gain insights into device performance, predict maintenance needs, and optimize asset utilization. By deploying IoT Analytics, companies can ensure seamless operations and achieve strategic goals.

What are the critical features of IoT Analytics solutions?

Real-time Data Processing: Analyze data as it is generated to take immediate action.
Scalability: Handle increasing volumes of data without compromising performance.
Predictive Maintenance: Forecast maintenance needs to prevent downtime.
Interoperability: Integrate with various IoT devices and data sources.
Data Visualization: Present data in user-friendly formats for better decision-making.

What benefits and ROI should users look for when evaluating IoT Analytics solutions?

Operational Efficiency: Streamline processes and reduce resource wastage.
Cost Savings: Lower maintenance costs and avoid unplanned downtimes.
Enhanced Decision-Making: Improve strategic planning with data-driven insights.
Increased Productivity: Boost workforce productivity by automating routine tasks.
Improved Customer Service: Enhance customer experiences with predictive analytics.

In manufacturing, IoT Analytics can monitor equipment health and predict failure, ensuring continuous production. Retailers use it to understand customer behavior and optimize inventory management. In healthcare, IoT Analytics track patient vitals, enabling timely medical interventions.

Leveraging the power of IoT Analytics allows organizations to unlock the full potential of their connected devices. These solutions can drive significant efficiencies and offer predictive capabilities, empowering businesses to stay competitive in today's data-driven landscape.

IoT Analytics solutions mindshare

As of March 2025, in the IoT Analytics category, the mindshare of AWS IoT Analytics is 23.5%, up from 19.6% compared to the previous year. The mindshare of Google Cloud IoT Core is 21.7%, down from 29.9% compared to the previous year. The mindshare of ThingSpeak is 42.8%, up from 41.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

IoT Analytics

Top IoT Analytics products

Rankings through

#1 Ranked

ThingSpeak

ThingSpeak is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak you can perform online analysis and processing of the data as it comes in. ThingSpeak is often used for prototyping and proof of concept IoT systems that require analytics.

625

Total Views

536

Category Comparisons

Popular comparisons

Google Cloud IoT Core

Cloud IoT Core is a fully managed service that allows you to easily and securely connect, manage, and ingest data from millions of globally dispersed devices.

Review

434

Total Views

351

Category Comparisons

Popular comparisons

AWS IoT Analytics

AWS IoT Analytics is a fully-managed service that makes it easy to run and operationalize sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. It is the easiest way to run analytics on IoT data and get insights to make better and more accurate decisions for IoT applications and machine learning use cases.

301

Total Views

255

Category Comparisons

Popular comparisons

Software AG TrendMiner

TrendMiner software is based on a high-performance analytics engine for data captured in time series. With TrendMiner, process engineers and operators can easily search for trends and question their process data directly – without help from a data scientist.

Total Views

Category Comparisons

Popular comparisons

Cumulocity IoT DataHub

Cumulocity IoT DataHub allows you to connect existing analytics tools and applications to Cumulocity IoT, such as: Business Intelligence and machine learning tools, as well as arbitrary custom applications, and much more. Enable your users to understand why certain events occur, whether these are normal, whether they are likely to happen again, and what was the end result previously, whether positive or negative.

Total Views

Category Comparisons

Popular comparisons

SAS Analytics for IoT

SAS Analytics for IoT enables all types of users to transform data into intelligence with an extensible, sensor-based data model and an intuitive, visual interface built on SAS Viya that streamlines ETL tasks.

Total Views

Category Comparisons

Popular comparisons

See which vendors are best for you

Use our free recommendation engine to learn which IoT Analytics solutions are best for your needs.

See recommendations

842,161 professionals have used our research since 2012.

ClearBlade Edge Platform

Extremely performant, small and scalable, ClearBlade IoT EDGE enables companies to synchronize, configure, manage state and deploy IoT systems with one common software stack.

Total Views

Category Comparisons

Comarch IoT Analytics Platform

The IoT Analytics Platform module focuses on delivering measurable business value, using intelligent big data processing and real-time data analytics for M2M/IoT business purposes. It provides thorough information about the way in which customers are using your IoT products. Additionally, it handles some issues related to quality of service (QoS) within operations, by helping discover which device (or type of device) generates issues, revealing data patterns and trends, and providing reports and analyses of anomalies. Device/IMSI (International Mobile Subscriber Identity) or customer profile dashboards enable deep data drill down. You can also use the supporting functions such as alarms and notifications internally, to improve your business and operational results and enhance customer experience using this solution, which enables you to truly unlock the potential of IoT (Internet of Things) analytics data for telecom organizations

Total Views

Category Comparisons

Altair IoT Studio

Altair IoT Studio enhances data management with user-friendly features for asset monitoring and predictive maintenance. Users appreciate its robust analytics. Room for improvement includes expanded device compatibility and more advanced reporting tools.

102

Total Views

Category Comparisons

Popular comparisons

Altair IoT Studio vs AWS IoT Analytics

BellaDati

An agile analytics and reporting tool with an intuitive user interface and over 100 prebuilt data connectors.

Total Views

Category Comparisons

Interana

Interana empowers everyone in digital businesses, from product, UX, growth and marketing to editorial, sales and support with intuitive visual exploration of behavior in event data.

118

Total Views

Category Comparisons