10 Best IoT Cloud-Based Platforms to Consider in 2025

Internet of Things, or IoT, is definitely not a new term to many of us. This technology turns physical machines into “living” things that can communicate data with each other as humans do. While our brains require a complex neuron structure to function, IoT-based interactions between machines also need lots of important components. One of them is IoT cloud platforms. 

What are these platforms, exactly? Why do you need one to operate IoT systems effectively? And what are the best IoT cloud-based platforms in today’s market? Keep reading and find all the answers in our article!

What Are IoT Cloud Platforms?

IoT cloud platforms are cloud-based infrastructure that enables users to collect, store, and analyze data from different IoT devices – be it a smartwatch or factory equipment. They function as a go-between that helps IoT devices communicate with applications easily. 

To help you better envision the role of a cloud-based IoT platform, let’s take this example. Suppose you have a healthcare app. You want to integrate health data from different sources (e.g., EHR systems or smartwatches). 

Source: Amazon

As a central hub, an IoT platform gathers data from these sources for processing and analysis before sending the most critical information to the healthcare app. Doctors (or any authorized medical staff) can access the app to understand patients’ health conditions better and suggest appropriate treatments. Beyond this fundamental capability, the platform provides development tools (e.g., code libraries) to automate some of your tasks, like remotely controlling smart thermostats or automatically processing sensor data.

Why Do You Need an IoT Cloud Platform?

Through the example above, you may understand the importance of an IoT cloud platform in connecting your current software and networks with smart devices. Further, the platform provides you with the following benefits:

Data Collection & Storage

A cloud-based IoT platform can collect data from any smart device, despite their different communication protocols. It provides you with a unified view of all the data and removes the need to access each data source for analysis. Besides, the platform has built-in storage services (like object storage) to store raw, unprocessed, and long-term data while enabling integration with external databases (relational or NoSQL) to keep data for real-time analysis. 

Data Analytics & Visualization

Cloud-based platforms provide powerful processing and analytics tools to analyze even real-time data for immediate insights. Besides, it comes with different visualizations that allow you to visualize your analytical findings easily. Further, various platforms now like AWS IoT integrate AutoML capabilities that enable non-technical users to build machine learning models and analyze data based on their specific needs.

Device Monitoring

With an IoT cloud platform, your company can manage smart devices remotely. Accordingly, the platform allows you to track their status, configure their settings, and troubleshoot – all is done remotely.

Security

Cloud providers also integrate security best practices into their IoT platforms to safeguard your sensitive data at rest and in transit between connected devices. 

Scalability & Cost Savings

Cloud-based platforms can handle a growing volume of IoT data or connected devices without the need to install additional or complicated hardware infrastructure. This capability gives them a competitive edge over IoT on-premises platforms. The latter often run on a company’s own infrastructure, hence requiring much higher costs to install and scale. But with the cloud, your business saves a fortune while easily scaling your IoT system.

FURTHER READING:

1. Applications of the Internet of Things: 5 Main Categories

2. What Is the Internet of Things (IoT): A Detailed Guide in 2025

3. IoT in Healthcare: Enhancing Operational Efficiency in Hospitals​

10 Best IoT Cloud-Based Platforms to Consider in 2025

Cloud-based IoT platforms are on the rise, with a nearly 14% annual growth during 2025-2034. The increasing adoption of connected devices, wireless connection technologies, and AI/ML is considered the main driver behind this growth. Despite the growing competition between IoT platforms, we still witness giants taking over the top ranking positions like AWS or Microsoft. Now, let’s take a detailed look at the best ones in today’s market and see what they offer: 

1. AWS IoT

AWS IoT provides essential software and services to connect your smart devices with AWS cloud-based services and other applications. The illustration below best describes how AWS IoT works:

AWS IoT offerings include:

• Device Software: Integrates billions of IoT devices with AWS cloud services (particularly, control and analytics solutions we’ll describe later). AWS offers different types of device software: FreeRTOS, AWS IoT Greengrass, AWS IoT ExpressLink, Device SDKs, and Device Tester. Each serves different needs. For example, FreeRTOS aims to operate microcontrollers (tiny computers used in low-power devices like sensors) in real-time.  

• Connectivity & Control Services: Manage your IoT devices securely from the cloud. Accordingly, AWS provides four different services: AWS IoT Core, AWS IoT Device Defender, IoT Device Management, and AWS IoT FleetWise which specializes in collecting vehicle data at scale. Typically, AWS IoT Core – a managed cloud service – supports various communication protocols (like MQTT or LoRaWAN) to help your smart devices interact with apps even when they aren’t connected.

• Analytics Services: Analyze your IoT data to derive actionable insights. AWS offers different analysis services, like AWS IoT Analytics, AWS IoT SiteWise, or AWS IoT TwinMaker. These services allow you to collect and analyze data automatically by using queries built-in machine learning or the SQL query engine. Further, they identify and respond to patterns from IoT sensors in real-time. You can also use TwinMaker to create digital visualizations of your physical facilities and digital systems. This helps diagnose their errors early and optimize their operations.

Best Use Cases

AWS IoT services are primarily used to collect and analyze IoT data for the following use cases:

Industrial Operations: Build scalable industrial IoT solutions to optimize the quality of your plant output, track asset conditions, and forecast potential equipment breakdown for maintenance. 

Consumer Solutions: Connect smart home devices (e.g., security cameras or door locks) and allow them to run locally without Internet connectivity. They also help you develop ML-based apps to automate home activities, detect threats, and manage home networks efficiently.

Commercial Applications: Develop commercial IoT solutions to address problems in infrastructure, health, and the environment.

Automotive: AWS IoT helps you collect, process, and analyze data from connected vehicles automatically. With its services, you can get deeper insights into your fleets’ health conditions, predicting maintenance needs to reduce downtime and avoid roadside failures. 

Do you want to hear more about how AWS IoT services help global clients succeed? Look at the video below:

Pricing

AWS primarily provides a pay-as-you-go pricing model for most of their IoT cloud services. Accordingly, you only need to pay for individual services that your company truly needs without long-term commitments. Besides, the cost of each service depends much on the monthly number of IoT devices, data amounts generated by each device, and more. However, all AWS IoT services offer a free tier for experience. To estimate exactly how much you have to pay, use the AWS Pricing Calculator.

2. Microsoft Azure IoT

Microsoft Azure IoT is a set of Microsoft-managed cloud services, edge components, and SDKs. Some of its offerings include: 

• Azure IoT Central: Creates and manages enterprise-grade IoT solutions with minimal coding skills. It leverages pre-built templates and development tools to handle some complex tasks for connecting devices and managing data. 

• Azure IoT Operations: Help manage your physical locations (e.g., factories, energy grids, or farms) efficiently by collecting, handling, and analyzing all the asset data from different sources in a unified place. It uses Azure Arc and Kubernetes to build, manage, and update apps at the edge. Further, it integrates AI capabilities to facilitate your analytics and enable informed decision-making.

• Azure IoT Hub: Allows secure interactions between smart devices and your IoT apps. It can remotely deliver software updates to your devices, keeping them running seamlessly and avoiding vulnerabilities all the time. 

• Azure Digital Twins: Create a digital version of your physical world by using Digital Twins Definition Language. This helps you understand how things have changed over time and predict what can happen in the future, optimizing operations and delivering better outcomes. 

• Azure IoT Edge: Operates cloud-based functions locally on your IoT edge devices. It allows you to break up data silos and send important parts to the Azure Cloud. Further, you can monitor software (e.g., AI, Azure services, or your custom-built programs) on your devices remotely. 

• Azure Time Series Insights: Discover and extract insights from time-series IoT data in real-time.

Best Use Cases

Microsoft Azure IoT has a wide application across industries like manufacturing, transportation and logistics, or retail. However, it still mainly focuses on industrial use cases like:

Condition Monitoring: Track your machinery’s key parameters to detect radical changes and prevent potential failures or manufacturing disruptions before they happen.

Predictive Maintenance: Coupled with both reality and digital twin technologies, Azure IoT helps monitor equipment performance and status effectively. Then, forecast possible malfunctions and maintenance demands. 

Asset Management: Track and monitor assets in real-time.

Pricing

Microsoft offers a pay-as-you-go pricing approach for its IoT services. Further, the company allows you to experience a 30-day free trial before making payments. 

3. Oracle IoT Cloud

Oracle IoT Cloud Service is a cloud-based PaaS (Platform-as-a-Service) offering. It allows you to gather, manage, and analyze a massive amount of real-time data from connected devices before integrating it into your current software, web services, or other Oracle cloud services. 

Like other IoT cloud platforms, Oracle IoT Cloud offers common functions like data ingestion and streaming or data analytics and visualization. Besides, it uses security best practices like authentication and authorization to secure end-to-end communication and ensure the reliability of data. The service also has a cross-protocol functionality to connect any device to the cloud, regardless of different network protocols or firewall restrictions. 

Beyond these functionalities, Oracle IoT Cloud integrates digital twin capabilities like Virtual Twin or Predictive Twin. These features give you a 3D contextual view of physical assets to test out IoT value propositions, track their performance, and validate your end-to-end business processes for audits or safety. 

Best Use Cases

Oracle IoT Cloud is mainly used in the following four sectors:

Asset Monitoring: Monitor your enterprise assets and minimize maintenance costs effectively by tracking their real-time health, usage, and location. Also, it also automates analytics and actions based on predictive findings. 

Production Monitoring: Help you understand the real-time performance of factories and equipment. For this reason, it can detect early breakdown signals and suggest proper actions to ensure timely product deliveries.

Logistics Management: Use live data from vehicles, equipment, and packages from your own fleet and third-party logistics vendors to manage your cargo and shipment. 

Workplace Safety: Track the live performance, health, and location of your workers in real-time through employee wearables and facility systems. This helps you understand working environments better and avoid safety violations.

Pricing

Oracle IoT Cloud is priced per managed resource and service you choose. The company doesn’t require long-term commitment. Instead, you can pay for your monthly use and cancel anytime. 

4. Siemens IIoT

Siemens helps build smart factories by providing two main IIoT (Industrial Internet of Things) platforms: Insights Hub and Industrial Edge. These platforms leverage industrial IoT data to monitor assets reliably, improve manufacturing performance, and allow for quality prediction. They provide the essential features to turn your operational and asset data into business values. 

Particularly, Insights Hub manages, analyzes, and simulates the real-time performance of physical assets and manufacturing processes. It comes with the following features:

• Monitor to access equipment management;
• OEE to track manufacturing performance and productivity;
• Quality Prediction to enhance quality and inspection processes;
• Asset Health & Maintenance to operate and inspect industrial machines for immediate maintenance;
• Low-Code Capabilities to automate and streamline OEE functions based on your needs. 
• Machine Learning and Data Analytics built in the platform to automate data processing and analytics tasks.

Watch the video below to better understand what Insights Hub can give your manufacturing plants:

Meanwhile, Industrial Edge helps connect physical assets with your enterprise networks to enable machine and factory data transmission. 

Best Use Cases

Insights Hub is developed for only manufacturing case studies. This powerful platform connects different devices in one location, analyzes data to optimize asset performance, and uses predictive learning models to ensure product quality. 

Pricing

Siemens offers different pricing packages to align with the capabilities you need. They include Basic, Standard, and Premium. Beyond these models, you can add optional services like Visual Explorer, Remote Services, and Predictive Learning. The cost depends heavily on what packages you choose. 

5. Shoplogix

Shoplogix is transforming manufacturing performance by collecting, analyzing, and visualizing real-time production data from IoT devices on the factory or store floor. Its IoT cloud services include:

• Smart Factory Suite: Uses the Core Analytics and Digital Whiteboard to standardize metrics across the manufacturing floor and display them in an easy-to-read format. It offers real-time production insights to discover problems faster and enhance performance.

• Analytics Suite: Offers AI capabilities to spot complex patterns and correlations between data to get deeper insights and forecast future KPIs. Further, it uses the Manufacturing Intelligence to add more internal and external data sources into the Smart Factory Suite, and then find relationships between them. 

• MES (Manufacturing Execution System) Suite: Helps monitor and improve the manufacturing process effectively with key features like Detailed Production Scheduling or Employee Planning. 

Best Use Cases

Shoplogix’s IoT cloud platforms are designed specifically for manufacturing. 

Pricing

Shoplogix offers different charges based on your chosen service: Rapid Deployment Services and Advisory Services. The former covers installing and configuring the software, coupled with necessary training programs, while the latter offers consultancy services to Spologix’s clients.

6. ThingsBoard

ThingsBoard is an IoT platform deployed in the cloud and on-premises to collect, process, and analyze data. Regardless of your connected devices, ThingsBoard enables seamless device connections through IoT protocols like MQTT or CoAP. 

Besides common features like data collection and visualization, ThingsBoard stands out with a host of powerful capabilities. Below are some of its typical functionalities:

• Diverse Server-Side APIs: Manage your IoT devices and assets securely.

• SCADA Systems: Track production processes in real-time and react immediately to any deviation.

• Asset Management: Groups your devices into different assets and monitors them as a single entity. This allows you to track each entity’s health conditions, utilization, and performance easily, predicting maintenance needs promptly.

• Data Analytics: Analyze and visualize your IoT data (e.g., total energy consumption) at any level, from concrete meter level to country level. The platform can automatically detect anomalies and predict usage or failures. 

• Device Management: Configures and manages all connected devices in a unified platform.

• Edge Computing: Handles, stores, and filters data from local (edge) devices independently from the server. This allows the platform to send the most essential dataset to the server for further processing and analytics. 

• PE Self-Registration: Offers a rich set of mobile actions, coupled with structured device navigations, to build a mobile application for certain tasks with minimal coding efforts.

Best Use Cases

With those capabilities, ThingsBoard provides a scalable and fault-tolerant way to improve workflows across industries. Accordingly, it has a diverse application in: 

• Smart energy
• Fleet tracking
• Air quality monitoring
• Waste management
• Environment monitoring
• Smart irrigation

And more!

Pricing

ThingsBoard offers different subscription plans including hosting and email costs. Particularly, the cloud-based version for Professional Edition and Trendz Analytics each starts at $10 per month for up to 30 devices and assets. Further, the company provides the Community Edition, a 100% open-source version for unlimited devices, for you to get familiar with the platform. 

7. ThingWorx

ThingWorx is an IIoT cloud platform acquired by PTC (Parametric Technology Corporation) in late 2013. The platform provides pre-built applications and development tools to help everyone create and access industrial IoT or AR solutions easily. 

Additionally, it enables standardized industrial connectivity between thousands of connected devices at any scale. By monitoring all these devices in a central place,  ThingWorx also excels at collecting and analyzing complex industrial IoT data from these devices to derive real-time insights and enable immediate precautions. 

Another outstanding functionality of ThingWorx is IoT Device Management. It uses automation capabilities to speed up deployments at any scale, manage applications, and identify their dependencies from a single, cloud-based location. Also, it integrates a visual drag-and-drop tool to create automated workflows. 

ThingWorx’s IoT Device Management

Best Use Cases

The ThingWorx IIoT Platform mainly helps users address problems in the following sectors:

Manufacturing: Connect operators and engineers with factory floor assets through pre-built apps. This helps minimize downtime and costs while improving safety and efficiency.

Service: Allow your service agents to analyze real-time data to reduce customer downtime.

Engineering: Connect role-based apps with your enterprise software to help authorized users approach and understand well-defined product information. 

Pricing

You need to contact PTC’s sales team to get a quote for ThingWorx. However, like other IoT cloud platforms in this list, ThingWorx also comes with free trials and demo downloads. See more information here!

8. Particle

Particle is a PaaS application infrastructure that connects and manages intelligent devices with software applications, from edge to cloud and vice versa. The platform offers plenty of features to simplify your IoT workflows:

• Edge Infrastructure: Sends software updates to all of your smart devices – whether they’re microcontrollers or AI accelerators – wirelessly.

• Cloud Infrastructure: Offers automation capabilities to convert data into immediate insights.

• Device Management: Monitors connected devices, software, and data securely through a single portal.

• Application Development: Provides a developer-friendly application framework that comes with pre-built libraries, integrations, and edge ML capabilities to develop apps easily. 

Best Use Cases

Particle’s cloud-based IoT platform is primarily adopted in emissions monitoring, smart energy, HVAC system improvement, and light electric vehicles. Accordingly, it focuses on the following use cases:

Asset Tracking: Use technologies like RFID tags, LoRaWAN, and GPS Tracking to inspect assets regularly. 

Preventative Maintenance: Predict maintenance needs to prevent breakdowns and improve product performance. 

Equipment Monitoring: Manage widely distributed industrial assets from one centralized platform.

Pricing

Particle offers flexible pricing packages, starting at $299/month for a block of 100 devices. Besides, you can use a free-forever plan for prototyping and personal projects. 

9. Kaa Enterprise IoT Platform

Kaa Enterprise IoT is a comprehensive platform that connects hardware devices (e.g., sensors, industrial PLCs, or wearables) for reliable data collection, analysis, and visualization. It also creates a digital twin of all your devices to keep a local record of their data which will be available even offline. Besides, the platform allows your company to set up automated responses to specific events using the Rule Engine. 

One striking functionality of Kaa Enterprise IoT is its IoT dashboard. This user interface enables you to manage and interact with connected devices through graphs, charts, and other UI elements. You can customize IoT dashboards to meet your specific needs like fleet management or air quality monitoring. Watch the video below to see how these dashboards work:

In addition to the Kaa IoT Platform, Kaa also provides other products like Kaa Next, Kaa IoT Gateway, Node-RED Hosting, and more. Noticeably, Kaa Next integrates powerful tools like built-in identity and access management, AI capabilities, and advanced reporting to detect anomalies and forecast events better. 

Best Use Cases

With its transformative capabilities, Kaa Enterprise IoT has become the top choice for many industries. Some typical applications are:

• Smart Retail: Track end-to-end delivery, discover customer shopping patterns, and manage inventory items or devices in real-time. 

• Sport & Fitness: Analyze physical training for efficiency and track device performance or usage for predictive maintenance. 

• Baby Tech: Monitor mother and child health data through smart wearables. Also, send smart alerts and personalized events based on the data. 

Pricing

The Kaa Enterprise IoT Platform comes with different subscription plans for the cloud and your self-managed infrastructure. Kaa Cloud packages are much cheaper, starting at $99/month for 100 devices. Plus, a free plan is provided if you register the cloud service for no more than 5 devices. 

10. Bosch IoT Suite

Bosch IoT Suite is a collection of IoT products and services that support device management, data management, and edge solutions. However, Bosch decided to discontinue its Bosch IoT Device Management service in mid-2024. This decision affects its related products including Bosch IoT Rollouts and Bosch IoT Remote Manager. 

Now, Bosch IoT Suite mainly focuses on two services:

• IoT Data Management & Analytics: Collects, processes, manages, and analyzes data using Bosch IoT Insights. This product helps you connect and track thousands of vehicles on the road. With data from these vehicles, you may know what’s happening to your vehicles and how to optimize them to generate the best outcomes. 

• IoT Edge: Uses Bosch IoT Edge Agent and Bosch IoT Edge Services to get the most value out of your edge devices. These products connect your smart devices easily with the cloud and deploy cloud-based functions on the devices. 

Best Use Cases

Bosch IoT Suite is highly applied to consumer and industrial use cases. For example, its offerings help you track different equipment variables (e.g., daily consumption or capacity usage), understand its performance, and make necessary maintenance. 

Pricing

Bosch IoT Suite offers three pricing models based on your usage (like for proof of concept or large scenarios). These packages include PayAsYouGo, Standard, and Premium. Contact Bosch to get a quote for each package. Further, you can use a free trial to evaluate and test Bosch IoT Suite products. 

5 Key Criteria to Choose the Best IoT Cloud Platform

There are plenty of excellent IoT cloud platforms in the market, but not all suit your company. So, whether you can conduct effective IoT data analytics depends heavily on your chosen platform. 

To choose the right one, you have to consider your needs first. In other words, the platform you select must provide all the functionalities that serve your specific demands. While we admit that various modern platforms now offer similar features (due to the increased competition), there are still visible differences. Therefore, consider the following factors before reaching any conclusion: 

1. Ease of Use & Development

First, a platform should have a short learning curve with intuitive user interfaces and development tools. Accordingly, it can provide a drag-and-drop editor, pre-built components, and code libraries to handle common tasks efficiently. For example, you may integrate pre-written code modules into your retail app to automatically update inventory levels in real-time. Also, consider whether the platform comes with active community support and well-maintained documentation for learning and troubleshooting. 

2. Features & Integration

Consider which features the platform offers and whether they meet your demands. These features may include predictive analytics, data visualization, and even AutoML capabilities that help automate your analysis tasks. If your company prioritizes real-time data processing for immediate responses, ensure the platform provides low latency and the ability to handle data fast. Additionally, ensure the platform is compatible with your existing systems (e.g., CRM or EHR) for smooth dataflows.  

3. Security & Compliance

Normally, IoT cloud platforms provide security best practices like data encryption, authentication mechanisms, or access control. However, does the platform you choose adhere to regulations in your business domain and host country (e.g., HIPAA)? So, consider its compliance with specific industry standards by looking at its recognized security certifications and successful case studies with similar companies. 

4. Scalability 

Look for a platform with a proven ability to process increasing data amounts and device connections. Otherwise, the platform struggles with performance when your IoT deployments scale.  

5. Pricing Models

The platform you choose may go a long way with your company’s growth. Therefore, understanding its pricing structure and aligning it with your budget are a must to help you manage costs effectively. Accordingly, the platform should offer transparent pricing packages (e.g., subscription-based, per device, or data volume). You should pick the one with free tiers or free trials, which enable experimenting with the platform before going to any long-term commitment.  

Should You Customize IoT Cloud Platforms?

It depends. Today, there are various enterprises choosing to customize an IoT platform to meet their specific requirements. For example, a manufacturer with highly specialized equipment can require unique analytical capabilities and algorithms that off-the-shelf platforms don’t have. Further, they want to take full control over sensitive data. So tailoring a solution is a good option in their case. 

However, a custom-built platform may require higher costs in development and ongoing maintenance. Not to mention that a tailored IoT solution may take time and struggle to be compatible with your current networks or other third-party systems. 

For these reasons, your company should only consider customization when available cloud platforms don’t meet unique requirements (like specialized or complex data processing) and when you require extreme security. 

But if you want fast time to market, if you have fairly common IoT demands, or if you have budget constraints, an off-the-shelf cloud platform is best suited. Therefore, to determine whether your company needs a custom-built or available cloud solution, ask yourself some questions about your core IoT demands, budget, timeline, and ROI versus the added cost of each solution.

How Can Designveloper Help Customize IoT Solutions?

If you still decide on a custom-built IoT solution, partnering with a trusted, experienced developer lays a foundation for your successful product. With over a decade of working in software development, Designveloper has successfully delivered more than 100 projects in different industries like healthcare and manufacturing. Our custom services help you address lots of challenges as follows:

• Real-Time Data Analytics and Visualization: Our customized IoT solutions connect seamlessly with smart devices and convert raw data into actionable insights instantly. We also integrate visualization tools to help your business detect hidden trends and optimize operations. 

• Security and Compliance: Our solutions meet industry and international standards like GDPR or HIPAA. Besides, we help secure your sensitive and confidential data with security best measures and extra layer protocols.

• Integration with Current Systems: Our team ensures smooth integration with your existing infrastructure without the need to change your current workflows.

• Timely Delivery Within Budget: We leverage our pre-built library of features, coupled with estimation techniques like analogous or Pomodoro, to estimate the most critical functionalities, time, and budget needed for your custom-built solution. Using Agile frameworks like SCRUM or Kanban, we help your business deploy the solution on time and within budget.

Conclusion

When you reach this final part, we hope you better understand what IoT cloud platforms are, why you need one, and how to choose the right solution for your business. If you’re overwhelmed by a multitude of cloud-based IoT platforms in the market and still don’t know which to choose, you can consider the best options in this list. Remember to always consider your IoT core needs and test platforms on a small-scale IoT deployment before making any final decision. 

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