# Best IoT Analytics Platforms - Page 4

  *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)*

   IoT analytics platforms allows businesses to analyze and visualize sensor data from internet-connected devices. IoT analytics platofrms are used to understand the continuous stream of structured, unstructured, and time series data produced by connected devices, so that businesses can understand historical data and predict future outcomes. Companies may utilize IoT analytics solutions to track the performance of machinery, provide predictive maintenance recommendations, and better understand unique data related to their devices such as temperature, motion, and sound. Data analysts can use IoT analytics platforms to prepare, filter, transform, and drill into sensor data, the same way they would analyze structured data with a [business intelligence platform](https://www.g2.com/categories/business-intelligence-platforms).

To qualify for inclusion in the IoT Analytics Platforms category, a product must:

- Consume data directly from internet-connected devices, sensors, and time series databases
- Support data modeling, blending, and discovery
- Allow users to drill down into the data with interactive visualization
- Create reports and visualizations based on the data




  
## How Many IoT Analytics Platforms Products Does G2 Track?
**Total Products under this Category:** 139

### Category Stats (May 2026)
- **Average Rating**: 4.41/5 (↑0.01 vs Apr 2026)
- **New Reviews This Quarter**: 11
- **Buyer Segments**: Small-Business 38% │ Mid-Market 31% │ Enterprise 31%
- **Top Trending Product**: Rayven (+0.039)
*Last updated: May 18, 2026*

  
## How Does G2 Rank IoT Analytics Platforms Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 2,400+ Authentic Reviews
- 139+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
## Which IoT Analytics Platforms Is Best for Your Use Case?

- **Leader:** [Insights Hub](https://www.g2.com/products/siemens-digital-industries-software-insights-hub/reviews)
- **Highest Performer:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Easiest to Use:** [dataPARC](https://www.g2.com/products/dataparc/reviews)
- **Top Trending:** [ThingSpeak](https://www.g2.com/products/thingspeak/reviews)
- **Best Free Software:** [SAP Business Technology Platform](https://www.g2.com/products/sap-business-technology-platform/reviews)

  
  ## What Are the Top-Rated IoT Analytics Platforms Products in 2026?
### 1. [Palantir HyperAuto](https://www.g2.com/products/palantir-hyperauto/reviews)
  HyperAuto is an out-of-the-box tool that automatically transforms ERP and CRM data into clean, intelligible tables and a human-centric semantic layer. Utilizing metadata, the data pipelines are generated dynamically, without the need to write any code, and can keep pace with changes in the structure of the source systems. The cleaned data can then be exported incrementally to an existing data lake / warehouse. With a common language amongst the data, a customer can use a tool to analyze the data and make key business decisions. Unlike a common ETL tool, HyperAuto also has first-class functionality for writing back to ERP and CRM systems, that makes the underlying data sets more valuable over time, saving time, resource allocation, and effort, while providing you the most accurate, and real-time data for decision making. This is coupled with Palantir's best-in-class data security and governance.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Palantir HyperAuto?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Palantir HyperAuto?**

- **Seller:** [Palantir](https://www.g2.com/sellers/palantir)
- **HQ Location:** Denver, US
- **Twitter:** @PalantirTech (415,951 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/palantir-technologies/ (5,509 employees on LinkedIn®)
- **Ownership:** PLTR (NYSE)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 2. [Seebo](https://www.g2.com/products/seebo/reviews)
  Seebo's cloud-based software combines tools for IoT Modeling, Simulation, Execution, and Behavior Analytics into pre-packaged business solutions that address new product innovation, product resilience, venue operational excellence, and data-driven services.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Seebo?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 6.7/10 (Category avg: 8.9/10)

**Who Is the Company Behind Seebo?**

- **Seller:** [Seebo](https://www.g2.com/sellers/seebo)
- **Year Founded:** 2012
- **HQ Location:** Tel Aviv-Yaffo, IL
- **Twitter:** @Seebo (573 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/seebo/ (19 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Enterprise


### 3. [SenseIoT](https://www.g2.com/products/senseiot/reviews)
  SenseIoT is a great sensor data storage platform.


  **Average Rating:** 3.5/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate SenseIoT?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 6.7/10 (Category avg: 8.9/10)

**Who Is the Company Behind SenseIoT?**

- **Seller:** [SenseIoT](https://www.g2.com/sellers/senseiot)
- **HQ Location:** Scoresby, Australia
- **Twitter:** @Sense_IoT (8 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Enterprise


### 4. [ShiftWorx](https://www.g2.com/products/shiftworx/reviews)
  FreePoint Technologies' ShiftWorx is a unique grouping of modules that provide an end-to-end solution for continuous improvement across the production floor. ▪ Production Management - Real-time information on machine performance, jobs, and operator workforce. ▪ Performance Analysis - Metrics at the machine, line or plant for historical, situational and predictive insights. ▪ Quality & Compliance - Benchmarking, standards and procedures to meet audit and compliance regulations. ▪ Team Member Development & Performance - Operators have better tools for creating value added work. ShiftWorx provides a ‘holistic’ shopfloor management platform that when applied in whole or in succession affords manufacturers a production optimization solution backed by Toyota Production System (TPS) consulting expertise. ▪ Fully customized modular suite of products. ▪ Toyota Production System (TPS) expertise ▪ Measures and monitors critical production areas. ▪ Managed Services included. ▪ Cloud-connects equipment of any age, type or brand. Measure, Analyze, and Improve with ShiftWorx! Contact us today for a complimentary consultation from our TPS experts! Schedule a software demonstration specific to your Industry and requirements.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate ShiftWorx?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind ShiftWorx?**

- **Seller:** [ShiftWorx](https://www.g2.com/sellers/shiftworx)
- **Year Founded:** 2012
- **HQ Location:** London, CA
- **Twitter:** @getfreepoint (377 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/freepoint-technologies-inc-/ (4 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 5. [Simline Insights](https://www.g2.com/products/simline-io-simline-insights/reviews)
  Simline Insights is an IoT billing platform designed for IoT vendors using M2M sims. Simline monitors and protects you from overages when purchasing data from your carrier, provides accurate and automated billing for your customers, and an convenient payment portal for faster payments. Simline Insights allows you to extract the most margin from your services.


  **Average Rating:** 3.0/5.0
  **Total Reviews:** 1

**Who Is the Company Behind Simline Insights?**

- **Seller:** [Simline.io](https://www.g2.com/sellers/simline-io)
- **Year Founded:** 2017
- **HQ Location:** Calgary, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/simline/ (2 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


### 6. [Telit IoT Platform](https://www.g2.com/products/telit-iot-platform/reviews)
  With the Telit IoT Platform, your development team can focus on building apps, not infrastructure. The platform allows you to easily connect your things and enterprise systems together, saving you time and allowing you to get your solution to market quickly.


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Telit IoT Platform?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)

**Who Is the Company Behind Telit IoT Platform?**

- **Seller:** [Telit](https://www.g2.com/sellers/telit)
- **Year Founded:** 2000
- **HQ Location:** N/A
- **LinkedIn® Page:** https://www.linkedin.com/company/269797/ (963 employees on LinkedIn®)
- **Ownership:** TCM
- **Total Revenue (USD mm):** $392

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


### 7. [Thing+](https://www.g2.com/products/thing/reviews)
  Thing+ provides real time dashboard, setting rule, and data analysis.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Thing+?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 5.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Thing+?**

- **Seller:** [Daliworks](https://www.g2.com/sellers/daliworks)
- **HQ Location:** Seoul, South Korea
- **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


### 8. [Transpara Visual KPI](https://www.g2.com/products/transpara-visual-kpi/reviews)
  Visual KPI from Transpara is real-time operations monitoring software. It provides a single view across all of your data sources without moving anything or embarking on a huge project. It supports thousands of industrial (historians, IIoT), business and external data sources and delivers stunning visualizations, KPIs, dashboards, analytics and alerts to any device.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Transpara Visual KPI?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Transpara Visual KPI?**

- **Seller:** [Transpara](https://www.g2.com/sellers/transpara)
- **Year Founded:** 2005
- **HQ Location:** Scottsdale, US
- **Twitter:** @Transpara (344 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/transpara (17 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market


### 9. [Visplore](https://www.g2.com/products/visplore/reviews)
  Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Visplore is developed by an independent European software company headquartered in Vienna, Austria. Founded to bring advanced analytics closer to operational teams, the company focuses on industrial environments where transparency, on-premise deployment, and engineering usability are key requirements. The organization works closely with manufacturing customers across Europe and other industrial regions, supporting deployments in regulated and security-sensitive environments. Key features and functionality include: - Guided root cause analysis workflows for systematic investigation of KPI deviations - Interactive time series analysis across process, asset, quality, and material data - Integrated data analysis tools for multivariate exploration and hypothesis testing - Visual analytics process optimization templates that standardize investigations - On-premise deployment with seamless IT/OT connectivity Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action. The primary value of Visplore lies in closing the gap between monitoring and understanding. While dashboards show what happened, Visplore supports structured data analysis to explain why it happened. By embedding root cause analysis and time series analysis into guided, visual workflows, the software reduces reliance on manual spreadsheet work and isolated expert knowledge. Organizations use Visplore to shorten time-to-insight, standardize analytical best practices, and enable engineers to independently conduct deep investigations that support continuous improvement and sustainable visual analytics process optimization.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 4
**How Do G2 Users Rate Visplore?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)

**Who Is the Company Behind Visplore?**

- **Seller:** [Visplore](https://www.g2.com/sellers/visplore)
- **Company Website:** https://visplore.com/
- **HQ Location:** Vienna, AT
- **LinkedIn® Page:** https://www.linkedin.com/company/visplore (31 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 50% Mid-Market, 25% Small-Business


#### What Are Visplore's Pros and Cons?

**Pros:**

- Ease of Use (1 reviews)
- Efficiency (1 reviews)
- Integrations (1 reviews)
- User Interface (1 reviews)


### 10. [Waylay](https://www.g2.com/products/waylay/reviews)
  Waylay is a B2B software company that bridges the gap between OT/IT worlds. Waylay offers three product offerings: Waylay IO, the first Low-Code automation with zero setups Waylay Enterprise, empowers enterprises by simplifying their Digital Transformation journey, and Waylay Digital Twin, a composite app for Salesforce available on the AppExchange. All of the Waylay products are used by enterprises and SMEs alike to leverage the data and analytical insights from their connected equipment and machines for improving operational processes and customer service. Waylay was founded in 2014 with the mission to empower organizations to realize a better ROI from their IoT investments. With Waylay, companies can move beyond a connect-and-collect approach and put IoT insights to operational use throughout the enterprise.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Waylay?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 6.7/10 (Category avg: 8.9/10)

**Who Is the Company Behind Waylay?**

- **Seller:** [Waylay](https://www.g2.com/sellers/waylay)
- **Year Founded:** 2014
- **HQ Location:** Ghent, BE
- **LinkedIn® Page:** https://www.linkedin.com/company/waylay (29 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Small-Business


### 11. [Zolnoi](https://www.g2.com/products/zolnoi/reviews)
  We enable manufacturers to improve efficiency and reliability of production assets using: IoT for data acquisition Proprietary AI for predictive analytics End-to-end platform for actionable insights


  **Average Rating:** 4.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate Zolnoi?**

- **Ease of Use:** 8.3/10 (Category avg: 8.9/10)
- **Quality of Support:** 10.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Zolnoi?**

- **Seller:** [Zolnoi](https://www.g2.com/sellers/zolnoi)
- **Year Founded:** 2021
- **HQ Location:** Singapore, SG
- **LinkedIn® Page:** https://www.linkedin.com/company/zolnoi (10 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market, 100% Small-Business


### 12. [Airthings](https://www.g2.com/products/airthings/reviews)
  The Airthings for Business solution gives you the air quality data you need to take action at the earliest opportunity. With on-demand access to current and historical data you can optimize ventilation and air quality within your building, ensuring you provide a healthy and productive environment for all its users.



**Who Is the Company Behind Airthings?**

- **Seller:** [Airthings](https://www.g2.com/sellers/airthings)
- **Year Founded:** 2008
- **HQ Location:** Oslo, NO
- **LinkedIn® Page:** https://www.linkedin.com/company/airthings/ (119 employees on LinkedIn®)



### 13. [Ardexa](https://www.g2.com/products/ardexa/reviews)
  Internet of Things, IoT platform, Device security, Device communications, Cloud to device communications, Secure connections, Industrial machine data, and Industrial data protocols



**Who Is the Company Behind Ardexa?**

- **Seller:** [Ardexa](https://www.g2.com/sellers/ardexa)
- **Year Founded:** 2013
- **HQ Location:** Braddon, AU
- **LinkedIn® Page:** https://www.linkedin.com/company/ardexa-pty-ltd/ (20 employees on LinkedIn®)



### 14. [Arnowa Analytics Platform](https://www.g2.com/products/arnowa-analytics-platform/reviews)
  Arnowa Analytics Platform: Advanced IoT and AI for Smart Infrastructure The Arnowa Analytics Platform is a comprehensive, cloud-based solution designed to streamline and enhance sustainability management for organizations of all sizes. It addresses the growing demand for transparent climate-related disclosures and proactive sustainability initiatives in an increasingly regulated environment. With advanced features such as seamless data integration, real-time performance monitoring, and compliance with major reporting frameworks, the platform ensures that organizations can effectively navigate their sustainability journey. It offers robust tools for tracking greenhouse gas (GHG) emissions, conducting value chain assessments, and generating detailed reports tailored to various stakeholder needs. Key Technical Features: • Emission Hotspot Tracking: Monitor emission hotspots and track sustainability targets through customizable dashboards that provide comparative performance analysis. • Seamless Data Usage: Facilitate the use of GHG emissions data across multiple reporting and rating requirements, ensuring data integrity. • Comprehensive Data Collection: Collect data across the value chain for Scope 1, 2, and 3 emissions calculations using emission factors from official sources, including the Clean Energy Regulator (CER). • Dynamic Visualization Options: Create multi-variable data visualizations with customizable charts and tables, allowing for intuitive analysis and reporting. • Automated Sustainability Reporting: Streamline data collection and automate the generation of structured reports, including “ready-to-file” formats, enhancing efficiency and productivity. • AI & Augmented Analytics: Utilize artificial intelligence for predictive analytics, identifying efficiency opportunities and potential anomalies before they occur. • Real-Time Monitoring: Access real-time data updates with intuitive graphical displays from any web-enabled device, ensuring up-to-date insights. • Multi-Protocol Edge Devices: Integrate IoT devices, business systems, and external data sources for versatile data collection and analysis. Key Benefits of the Platform: • Enhanced Data Management: Seamlessly integrate diverse data sources for accurate and reliable insights. • Compliance Assurance: Meet and exceed regulatory requirements with comprehensive reporting capabilities across major frameworks, including NGERs, GRI, CSRD, ISSB, TCFD, BRSR, DJSI, CDP, and MSCI. • Customizable Dashboards: Tailor visualizations to suit your organization's specific reporting needs with over 30 preconfigured dashboards available at handover. • Streamlined Collaboration: Foster collaboration across teams with multi-user access and shared data functions, facilitating stakeholder engagement and communication. • Granular Accounting and Management: Evaluate sustainability performance across the entire value chain and identify gaps in organizational targets. By leveraging decades of emissions management expertise and cutting-edge technology, the Arnowa Analytics Platform empowers organizations to not only meet regulatory requirements but also achieve their long-term sustainability goals with confidence. Discover how the Arnowa Analytics Platform can transform your approach to sustainability and propel your organization toward a more sustainable future.



**Who Is the Company Behind Arnowa Analytics Platform?**

- **Seller:** [Arnowa](https://www.g2.com/sellers/arnowa)
- **HQ Location:** Perth, AU
- **LinkedIn® Page:** https://www.linkedin.com/company/arnowa/ (16 employees on LinkedIn®)



### 15. [AskSensors](https://www.g2.com/products/asksensors/reviews)
  AskSensors is a cloud-based Internet of Things (IoT) platform designed to facilitate seamless communication with connected devices. The platform enables users to connect, monitor, and manage sensors and actuators remotely, providing real-time data visualization and device control. Key features include support for both HTTP/S and MQTT protocols, allowing flexible and efficient communication with IoT devices. Users can create custom dashboards to monitor sensor data, control actuators, and receive email alerts based on user-defined thresholds. The platform offers a wide range of graphing options, such as line, bar, scatter, and gauge charts, to accommodate different visualization needs. AskSensors supports popular development boards, including Arduino, ESP8266, and Raspberry Pi, with open-source code available on GitHub to simplify integration. Security is prioritized, with HTTPS support, data export capabilities, and a clear commitment to protecting user data. The platform caters to a variety of industries, including smart cities, healthcare, industrial IoT (IIoT), smart agriculture, wearable technology, and home automation. It is designed to be accessible from any internet-connected device, offering a straightforward experience for users of all technical levels. With technical support and comprehensive documentation, AskSensors aims to streamline IoT device management, helping businesses and individuals gain actionable insights from their connected systems.



**Who Is the Company Behind AskSensors?**

- **Seller:** [AskSensors](https://www.g2.com/sellers/asksensors)
- **Year Founded:** 2018
- **HQ Location:** Epinay-sur-seine, FR
- **LinkedIn® Page:** https://www.linkedin.com/company/asksensors (3 employees on LinkedIn®)



### 16. [Atsuya Technologies](https://www.g2.com/products/atsuya-technologies/reviews)
  Atsuya Technologies, founded in 2017, specializes in providing AI-driven IoT solutions aimed at enhancing operational efficiency and sustainability across various industries. Their flagship platform, AOne™, integrates real-time monitoring and analytics to optimize resource consumption, improve equipment performance, and ensure compliance with safety standards. Key Features and Functionality: - Real-Time Monitoring: Continuous tracking of energy, water, gas, and refrigeration systems to detect anomalies and optimize usage. - AI-Powered Analytics: Advanced data analysis to provide actionable insights for predictive maintenance and process improvement. - Integrated Compliance System: Automated compliance checks and ticketing to maintain safety and quality standards. - Supply Chain Optimization: Enhanced visibility and control over logistics operations to reduce costs and environmental impact. Primary Value and Solutions: Atsuya Technologies addresses the critical need for businesses to operate sustainably without compromising growth or profitability. By leveraging IoT and AI, their solutions enable companies to: - Reduce Operational Costs: Identify inefficiencies and implement corrective actions to lower energy and resource expenses. - Enhance Equipment Reliability: Predict and prevent equipment failures, minimizing downtime and maintenance costs. - Ensure Regulatory Compliance: Automate compliance processes to adhere to industry standards and avoid penalties. - Promote Environmental Sustainability: Monitor and manage resource consumption to reduce carbon footprint and support eco-friendly practices. Through their comprehensive suite of solutions, Atsuya Technologies empowers businesses to achieve operational excellence and sustainability goals effectively.



**Who Is the Company Behind Atsuya Technologies?**

- **Seller:** [Atsuya Technologies](https://www.g2.com/sellers/atsuya-technologies)
- **Year Founded:** 2017
- **HQ Location:** Chennai, IN
- **LinkedIn® Page:** https://www.linkedin.com/company/atsuyatechnologies/ (89 employees on LinkedIn®)



### 17. [B3](https://www.g2.com/products/b3/reviews)
  B3 Systems is an AI-native industrial intelligence platform that helps manufacturers reduce downtime, improve asset performance, and make faster, data-driven decisions. The B3 platform connects machines, systems, and operational data to deliver real-time visibility, predictive insights, and AI-driven recommendations. By combining advanced analytics with agentic AI, B3 enables teams to move from reactive operations to proactive and increasingly autonomous workflows. Designed for complex, asset-intensive environments, the platform integrates seamlessly with existing OT and IT systems and scales across multi-site operations, eliminating data silos and creating a unified source of truth. B3’s AI agents continuously monitor performance, detect anomalies, and surface actionable insights, helping teams act faster, prevent issues, and optimize operations around the clock. Trusted by manufacturers across industries including forestry, mining, steel, automotive, and pulp & paper, B3 helps organizations unlock the full value of their data and drive measurable operational improvements.



**Who Is the Company Behind B3?**

- **Seller:** [B3 Systems](https://www.g2.com/sellers/b3-systems)
- **HQ Location:** Toronto, CA
- **LinkedIn® Page:** https://www.linkedin.com/company/b3systems/ (26 employees on LinkedIn®)



### 18. [Bearex](https://www.g2.com/products/bearex/reviews)
  Bearex is a profitability-first manufacturing intelligence platform built to solve a common industry challenge: manufacturers have the data they need, but it’s stuck inside disconnected systems like ERPs, spreadsheets, and quality logs. With Bearex, manufacturers can connect every data source from production efficiency and machine uptime to financials and sales pipelines into a single, live view. This allows leadership teams to spot bottlenecks in real time, eliminate costly data blind spots, and make faster, more profitable decisions. Instead of wasting hours every week exporting data and building spreadsheets, manufacturers rely on Bearex’s custom dashboards, live performance tracking, and automated reports to run smarter daily production meetings, improve quoting accuracy, and boost operational profitability.



**Who Is the Company Behind Bearex?**

- **Seller:** [Bearex](https://www.g2.com/sellers/bearex)
- **Year Founded:** 2021
- **HQ Location:** Jackson, US
- **LinkedIn® Page:** https://www.linkedin.com/company/bearex (4 employees on LinkedIn®)



### 19. [Bevywise IoT Dashboard](https://www.g2.com/products/bevywise-iot-dashboard/reviews)
  IoT Client Dashboard is an interactive and real-time visualization interface designed to display numeric and textual data collected from connected IoT devices. It provides users with a centralized view of device activity, allowing them to monitor live data streams, evaluate device performance, and respond quickly to operational changes. By presenting data in a structured and visually engaging format, the dashboard helps organizations gain better visibility into their IoT ecosystem and simplifies continuous device monitoring. The dashboard enables users to create detailed and meaningful visual representations of device data within minutes using configurable and user-friendly widgets. It includes more than eight pre-built widgets such as Text, Color indicators, Line Chart, Bar Chart, Gauge, Horizontal Gauge, Vertical Gauge, Switch, and LED Light. Each widget is designed to capture real-time data updates and present them in an intuitive format, allowing users to easily interpret device status, measurement values, and operational patterns. The flexible configuration options allow users to customize widgets based on specific monitoring requirements and device communication parameters. IoT Client Dashboard is built to support scalability, enabling organizations to monitor multiple devices and data streams simultaneously without performance issues. It can be adapted to suit diverse IoT implementations across industries such as manufacturing, smart infrastructure, energy management, and logistics. The dashboard helps teams detect operational anomalies, track device behavior trends, and maintain consistent performance across connected environments. By offering a comprehensive and centralized visualization solution, IoT Client Dashboard allows organizations to improve situational awareness and streamline operational oversight. It supports faster response to critical events, improves monitoring accuracy, and assists businesses in making informed, data-driven decisions. With its flexible design and real-time capabilities, the dashboard serves as a reliable monitoring tool for managing modern IoT deployments effectively.



**Who Is the Company Behind Bevywise IoT Dashboard?**

- **Seller:** [Bevywise Networks](https://www.g2.com/sellers/bevywise-networks)
- **Year Founded:** 2017
- **HQ Location:** Newark, US
- **Twitter:** @BevyWise (211 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/bevywise-networks/ (38 employees on LinkedIn®)



### 20. [C2M](https://www.g2.com/products/c2m/reviews)
  Connect2.me(C2M) is an IoT connector middleware for organizations to build enterprise level IoT/M2M applications.



**Who Is the Company Behind C2M?**

- **Seller:** [Plasma](https://www.g2.com/sellers/plasma)
- **Year Founded:** 2003
- **HQ Location:** Irving, US
- **Twitter:** @plasmacomp (2,310 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/plasma-computing-group-inc- (211 employees on LinkedIn®)



### 21. [ClearBlade Edge Platform](https://www.g2.com/products/clearblade-edge-platform/reviews)
  ClearBlade is the Edge Computing software company enabling enterprises to rapidly engineer and run secure, real-time, scalable IoT applications. ClearBlade was built for the enterprise from the ground up to run securely in any cloud, on-premise and at the edge. ClearBlade enables companies to ingest, analyze, adapt and act on any data in real-time and at extreme scale. Unleash your data at the edge by leveraging local compute, artificial intelligence and actionable visualizations while integrating with any enterprise system - all from a single platform. The industry leading ClearBlade Edge delivers the full power of the ClearBlade Platform directly to devices and gateways. The ClearBlade Edge runs autonomously - independent of network connectivity - ensuring resiliency and security. ClearBlade’s patented communications-agnostic Auto Sync technology guarantees your environment is always up-to-date. ClearBlade is fully extensible with a suite of proven components and integrations to deliver solutions quickly and at scale. ClearBlade empowers you to focus on business results and outcomes. Providing a consistent platform across Edge, cloud and on-premise environments, ClearBlade runs everywhere and connects everything.



**Who Is the Company Behind ClearBlade Edge Platform?**

- **Seller:** [ClearBlade](https://www.g2.com/sellers/clearblade)
- **Year Founded:** 2007
- **HQ Location:** Austin, US
- **Twitter:** @ClearBlade (2,496 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/clearblade (41 employees on LinkedIn®)



### 22. [Comarch IoT Analytics Platform](https://www.g2.com/products/comarch-iot-analytics-platform/reviews)
  IoT Connectivity Management (formerly Comarch M2M Platform) helps with the implementation of IoT service provider business strategies and enables mobile operators to provide managed connectivity in multi-national, multi-level and multi-operator environments.



**Who Is the Company Behind Comarch IoT Analytics Platform?**

- **Seller:** [Comarch](https://www.g2.com/sellers/comarch-7cd655c1-8046-4480-a0b9-ec69b863dda9)
- **Year Founded:** 1993
- **HQ Location:** Kraków, PL
- **Twitter:** @ComarchGroup (1,187 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/comarch/ (5,225 employees on LinkedIn®)
- **Ownership:** WSE: CMR



### 23. [Coreflux](https://www.g2.com/products/coreflux-coreflux/reviews)
  Coreflux provides out-of-the-box Digitalization, so you can focus on your core value proposition. Customizable IIoT Data Hub, Pipeline, Acquisition, Transformation and Storage solutions, all in a single platform. Build your own solution, from a simple app to a complex multi-national network, with the peace-of-mind of security measures, powerful monitoring features, and both intuitive GUI and large-scale CLI deployment options. Provides on-premises, cloud and hybrid solutions, for the most demanding industry scenarios.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 13
**How Do G2 Users Rate Coreflux?**

- **Ease of Use:** 8.8/10 (Category avg: 8.9/10)
- **Quality of Support:** 9.0/10 (Category avg: 8.9/10)

**Who Is the Company Behind Coreflux?**

- **Seller:** [Coreflux](https://www.g2.com/sellers/coreflux-2d9aaa6e-e01c-4409-ae1a-f64fac3428e3)
- **Year Founded:** 2022
- **HQ Location:** Porto, PT
- **Twitter:** @CorefluxIoT (7 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/coreflux/ (12 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Industrial Automation, Machinery
  - **Company Size:** 46% Small-Business, 46% Mid-Market


### 24. [DataGenie](https://www.g2.com/products/datagenie-datagenie/reviews)
  In today's data-driven world, unlocking the "why" behind data is crucial for strategic decision-making. Introducing DataGenie, an innovative tool that autonomously, periodically generates 'top stories' that unlock the 'why', from diverse data sources even without a data lake. With Generative AI technology, DataGenie also enables natural language interaction for deeper analysis and clearer insights. DataGenie offers traditional reporting as well as the ability to forecast.

Embrace a future where data drives decisions with unparalleled clarity. Connect with ramanan@datagene.aito delve into this treasure trove of insights



**Who Is the Company Behind DataGenie?**

- **Seller:** [DataGenie](https://www.g2.com/sellers/datagenie)
- **Year Founded:** 2020
- **HQ Location:** Princeton, US
- **LinkedIn® Page:** https://www.linkedin.com/company/data-genie (20 employees on LinkedIn®)



### 25. [DATAHUB+](https://www.g2.com/products/vroc-datahub/reviews)
  DataHUB+ is an enterprise time-series process data historian and visualization platform. It's scalable distributed data storage allows users to store all available structured, semi-structured and unstructured data reliably. DataHUB+ is built for rapid insights, reducing data wrangling time. Build your own data visualizations and dashboards, monitor operations in real time, create alerts and be confident in the integrity of your analysis. DataHUB+ is designed to be interoperable with your existing systems, and can be utilised for an unlimited number of plants, assets and equipment. Users can build data visualizations using dynamic dashboards or fully customize visualizations using drag & drop functionality. DataHUB+ also includes free-form calculations and statistical analysis capabilities. Discover a next generation process historian and visualization platform without hidden licensing fees, additional hardware costs or individual user costs.


  **Average Rating:** 5.0/5.0
  **Total Reviews:** 1
**How Do G2 Users Rate DATAHUB+?**

- **Ease of Use:** 10.0/10 (Category avg: 8.9/10)
- **Quality of Support:** 8.3/10 (Category avg: 8.9/10)

**Who Is the Company Behind DATAHUB+?**

- **Seller:** [VROC](https://www.g2.com/sellers/vroc)
- **Year Founded:** 2016
- **HQ Location:** East Perth, AU
- **Twitter:** @vrocai (61 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/vroc-artificial-intelligence (12 employees on LinkedIn®)

**Who Uses This Product?**
  - **Company Size:** 100% Mid-Market



    ## What Is IoT Analytics Platforms?
  [IoT Management Platforms](https://www.g2.com/categories/iot-management)
  ## What Software Categories Are Similar to IoT Analytics Platforms?
    - [IoT Platforms](https://www.g2.com/categories/iot-platforms)
    - [IoT Device Management Platforms](https://www.g2.com/categories/iot-device-management-platforms)
    - [Manufacturing Intelligence Software](https://www.g2.com/categories/manufacturing-intelligence)
    - [Industrial IoT Software](https://www.g2.com/categories/industrial-iot)

  
---

## How Do You Choose the Right IoT Analytics Platforms?

### What You Should Know About IoT Analytics Platforms

### What are IoT Analytics Platforms?

Data analytics is at the core of the Internet of Things (IoT), alongside [process automation](https://www.g2.com/categories/process-automation) and [asset management](https://www.g2.com/categories/asset-management-f3e79baa-6f93-4d40-b734-16e9b562fc14). Equipping machinery, office space, transport vehicles, and other things with smart sensors allows organizations to gather more data and glean more insight than ever before. Additionally, it shows how various assets perform and interact with one another. IoT analytics platforms help business leaders unlock actionable insights so they can learn about their operations and how to effectively optimize them from every angle.

For a connected business, there might be hundreds or thousands of advanced data sets to ingest each day. This data might include information about how devices are used, working conditions, and prescriptive analytics. The platforms in this fast-growing category offer methods for visualizing, analyzing, organizing, and exploring real-time and historical data generated by disparate IoT devices. Most businesses collect overwhelming amounts of enterprise IoT data. These solutions help determine the most relevant and actionable insights based on connected applications and their corresponding strategies and goals.

Key Benefits of IoT Analytics Platforms

- Synthesize data generated by a network of smart devices and IoT sensors
- Maximize ROI for diverse connected platforms across an organization
- Shape operational strategies using prescriptive and predictive analytics
- Identify the most relevant insights for data analytics and translate them into visualizations for easy consumption and analysis
- Make noteworthy data points from IoT networks searchable and accessible for future reference

### Why Use IoT Analytics Platforms?

Digital transformation is increasingly focused on connected devices, [artificial intelligence](https://www.g2.com/categories/artificial-intelligence), and other solutions to make workplaces automated and efficient. Smart devices—from factory machinery to office appliances—can assist with task automation as well as reveal insights about a company, building, employees, and customers. Connected assets help track details related to output, performance, and engagement with software platforms, employees, customers, and other applications connected to a network. IoT analytics solutions empower business users to sort and make sense of these findings. They can learn more about their business operations from the perspective of everyday “things" used across the company, regardless of their cost, size, or function.

Many platforms in this category offer tools to view and convert raw data into shareable formats. In some cases this entails integrations with [data visualization software](https://www.g2.com/categories/data-visualization), [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms), or other tools used for data analytics. In addition to gathering and preparing valuable data from smart devices, some platforms provide tools for real-time monitoring and reporting, helping users make instant decisions based on momentary events. The real-time streaming of powerful insights helps decision makers adjust and improve processes when these devices are involved, without waiting for lengthy reports.

Thanks to modern edge computing technology, the data gathered on these platforms can be processed and stored on the edge of company networks rather than centralized data warehouses. This helps deliver the right data at a faster rate, without eating into the bandwidth of critical systems. To establish an edge computing scenario for IoT devices and the data they collect, a business must configure edge devices (e.g., routers, integrated access devices or IADs) that control the flow of data. As a company builds out their IoT, analytics platforms help unlock the full potential of these devices without compromising the performance of their assets or IT infrastructures. A number of [IoT platforms](https://www.g2.com/categories/iot-platforms) include analytics solutions or certain reporting features, but dedicated analytics platforms such as those in this category offer deeper insights related to IoT devices, networks, and more related functions in an organization.

### Who Uses IoT Analytics Platforms?

The extensive insights from IoT analytics platforms are valuable to everyone in an organization; these insights influence strategic decisions and help the company improve business outcomes. However, only select individuals are typically trained to use these platforms, understand the data, and communicate the findings. The following teams or individuals are the most likely users of IoT analytics platforms.

**IoT specialists —** As the popularity of IoT grows, so does the need for dedicated experts within an organization. New positions such as IoT architect and IoT engineer are prioritized in thousands of tech-forward businesses. Individuals taking focused courses or training on smart technology and its applications may be recruited by an organization to fill an emerging role. In many cases, managers train existing employees so they can take on new responsibilities related to IoT strategy, such as tracking and comprehension of IoT analytics. The exact job titles of these individuals may vary based on the company’s unique approach to the focus area. Internal IoT specialists likely use platforms in this category. These platforms are essential for maximizing the value of IoT investments and making strategic decisions based on smart object activity. If a company designates one or more employees as IoT specialists, the right analytics tool can make a significant impact and convert IoT activity into actionable insights.

**Data scientists and analysts —** Depending on the size and scope of a company’s IoT infrastructure, they may not designate team members to be purely focused on IoT. In these cases, they may distribute related tasks and responsibilities to different teams or employees. Analytics experts, such as data analysts and data scientists, might be tasked with observing IoT data and determining appropriate responses to these findings. In addition to their existing [analytics software](https://www.g2.com/categories/analytics) and other business tools they use, data experts utilize IoT analytics platforms to observe, sort, and share unique insights generated by smart devices and any asset configured with an IoT sensor. In some cases, these findings are exported to other platforms for further studying, storing, or sharing. An IoT analytics platform can be essential for consuming the continuous stream of data connected devices produce, such as time-series data and streaming data from critical equipment on a factory line. Additionally, these platforms assist with modeling and blending unique data sets for optimal analysis.

**IoT development firms —** [Internet of things developers](https://www.g2.com/categories/internet-of-things-iot-developers), or IoT developers, are agencies that specialize in designing and deploying smart applications to use in an organization. These experts offer custom manufacturing of IoT objects and help configure new IoT networks. When working with one of these agencies, a business may need additional assistance with testing, troubleshooting, and tracking devices and IoT activity. IoT development teams might leverage a data analytics platform to visualize the findings of connected objects at any point in the customer experience, so customers can yield desired results with their IoT strategies.

### IoT Analytics Platform Features

The diverse platforms in this category offer a unique set of tools to assist with IoT data analytics. The following are primary features common in this category of software platform.

**Data models and customization —** IoT analytics solutions often come with data models for organizing and standardizing information generated by connected devices. Data modeling is useful for revealing relationships between large sets of unorganized data so users can draw conclusions. With some platforms, users can customize data models or configure entirely new models to fit their particular needs. Models may be useful for observing logical relationships within data sets, and determining how data is retrieved, stored, and formatted.

**Ingestion and filtering —** IoT sensors enable objects to generate limitless data; this increases based on the portfolio of devices in the network. IoT analytics platforms usually include filtering and ingestion tools, allowing users to collect the most relevant data points. When determining how data is ingested from IoT devices, users can decide whether specific types of data will be used immediately or filed away for later use. In some cases, users can create dashboards for real-time data streaming including location and what settings are most beneficial at the time.

**Event scheduling and alerts —** Along with determining which data should be collected, users of IoT analytics platforms can determine when to generate reports. Scheduling analytics readings could revolve around a specific time schedule, or particular events. Users might track IoT data in response to alerts such as environmental changes or equipment issues. In other cases, they may simply want to schedule data ingestion for a particular time to make basic observations about patterns and performance. Companies can elect to pull data in a variety of ways and adjust their analytics strategy over the course of their IoT campaign. The platforms in this category offer a number of configurations for reporting to suit these needs.

### Potential Issues with IoT Analytics Platforms

**Data gaps —** In addition to taking systems offline at unexpected and inconvenient times, random lapses in connectivity cause inconsistencies in time-series data. For example, you may notice several hours between two data points where there would normally be a steady, uninterrupted time line of data. These random gaps can be a source of frustration when it comes to studying and drawing conclusions. To prevent this, IT experts should monitor edge networks and routers and proactively address any issues.

**False or corrupted readings —** The more end points a company adds to its IoT stack, the greater the potential for transmission issues from an individual sensor. This is an unfortunate risk of any new technology, when it comes to IoT, these possibilities are multiplied by the number of devices they enable. A false reading can happen for a number of reasons, inaccurate data point can corrupt the integrity of data sets. It’s important to perform audits on data and run as many tests as possible to quickly identify issues, before problematic devices contribute additional false readings. Regular software updates are critical to keep distributed smart devices updated, reducing the chances of incomplete or inaccurate data.

### Software and Services Related to IoT Analytics Platforms

Realizing the benefits of smart technology is a significant undertaking. There is a great deal of planning, training, and investment that goes into an IoT initiative, including collecting and securing data from distributed platforms. Business leaders should do considerable research on the different types of [IoT management software](https://www.g2.com/categories/iot-management) and services on the market, and work with a consulting firm to determine which solutions to prioritize. The following are professional solutions that complement IoT analytics tools. They all help companies collect insights about their modern systems, and optimize their operation using groundbreaking technology.

[**Stream analytics software**](https://www.g2.com/categories/stream-analytics) **—** Stream analytics, also known as streaming analytics, is the study of data transferred between applications and exchanges, both historically and in real time. Stream analytics software enables the capture and analysis of this information. These platforms allow users to understand the flow and retrieval of data by disparate end points. A major use case for this is monitoring IoT telemetry across end points and the events pertaining to information exchange. If data is not received correctly, users of stream analytics tools can be notified and given insights into streaming issues. The platforms in this category are a natural complement to IoT analytics platforms, ensuring companies stay informed about the continuous flow of information between connected objects so devices can reliably execute tasks and generate their own insights.

[**Big data analytics software**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics involves the consumption of massive data clusters, culling the most notable findings using advanced data queries. Big data and [big data software](https://www.g2.com/categories/big-data) are increasingly common across a number of industries. With the rise of IoT, substantial data clusters are the focus of big data analytics and include observable information that can be exported from smart devices. If a business desires to analyze IoT data as part of a larger pool of data, they might consider a big data analytics tool such as those featured in this category. While IoT analytics solutions offer actionable insights into specific data generated by connected platforms, big data analytics can study these findings in relation to other critical data collected from various sources. This practice paints a more complete picture of relevant data patterns across the operation. Users can create detailed visualizations and record their queries into data sets to share discoveries with internal teams, business partners, and investors. Some platforms offer specific features for monitoring IoT data and collections of big data.

[**IoT device management software**](https://www.g2.com/categories/iot-device-management) **—** Depending on the size and scope of IoT strategy, hundreds or thousands of devices are configured to work together and communicate information with one another and the network itself. Proper management, troubleshooting, and updates to these devices is essential for accurate data collection. This ensures each device performs the expected actions and generates the right insights. After designing and deploying an IoT network using [IoT platforms](https://www.g2.com/categories/iot-platforms), businesses may use IoT device management tools to monitor the state of their devices and maintain them as needed. At the very least, these platforms assist with pushing software and firmware updates required with certain devices and sensors. IoT device management tools provide assistance with device permissions and device vulnerability tracking, among other things. To receive the best possible data from smart devices, IT administrators need to make a consistent effort toward device tracking and organization. IoT device managers help prepare teams for success and ensure they maintain visibility and control over a company’s IoT infrastructure.

[**IoT security services providers**](https://www.g2.com/categories/iot-security-services) **—** The power of IoT and device analytics comes paired with the responsibility of keeping these systems protected from unwanted access, theft, viruses, and other threats. Smart connectivity is a term used to describe the reliable connection of complex networks, including those used in edge computing and IoT networks. This connectivity requires reliable, uninterrupted transmission of data, and the ability to withstand environmental influences and malicious activity. Companies might require lots of outside assistance to supplement internal efforts and maintain a high degree of reliability. This is where IoT security services can help. IoT security providers are specialized firms that help companies configure IoT systems for optimum performance and consistency in the face of untold threats. Cybercrime is evolving, especially as new vulnerabilities are introduced. The specialists in this category can be enlisted to keep systems updated, adding or adjusting layers of protection based on the changing landscape of potential dangers.

When mapping out a security strategy, businesses might also consider [data security services](https://www.g2.com/categories/data-security-services) to bolster internal defense efforts. Data security experts can assist with protecting large volumes of critical business data, up to and including data sets generated by smart objects. A number of IoT security services providers offer solutions for protecting IoT data from external threats. A company might desire a more comprehensive program that touches on all aspects of data protection and the various groupings of data a business might collect. Data services providers can offer strategic advice, train employees on security practices, and assist with the implementation of [security software](https://www.g2.com/categories/security) so teams can maintain a consistent level of protection for data and company systems using internal resources. In some cases they can remotely monitor and respond to data-related threats in a business. In the current age, there is no limit to the security measures a company should consider, especially as operations are increasingly built on a foundation of technology. Compromised data, including IoT-related analytics, can be detrimental to a business and also place its employees and customers at serious risk. When adopting an IoT strategy, managers should take measures to keep assets and business data as safe as possible.