According to various studies, the number of IoT-connected devices will exceed 75 billion by 2025. In the following years, the breadth and development of IoT will evolve, driving people and businesses to seek the best IoT product solutions. IoT development tools are designed to track IoT applications across many networks and manage various upgrades to test how app changes affect hardware responses.

If you’re seeking the best IoT development platforms or want to collaborate with the best IoT development businesses, here’s a list of some of the most popular IoT development tools and technologies.

Most Popular IoT Platforms in 2021

To help you pick which Internet of Things Development platform to use for your project, we’ve produced a list of the most popular IoT development tools for this year, complete with full explanations of each:

1. Google Cloud IoT
2. Cisco IoT Cloud Connect
3. Salesforce IoT Cloud
4. IRI Voracity
5. Particle
6. IBM Watson IoT
7. ThingWorx
8. Amazon AWS IoT Core
9. Microsoft Azure IoT Hub
10. Oracle IoT

Google Cloud IoT

Google launched its platform for the IoT development tools based on its end-to-end Google Cloud Platform. It is currently one of the world’s leading Internet of Things platforms. The integration of numerous services that bring value to linked solutions is known as Google Cloud IoT.

• Cloud IoT Core enables you to collect and manage device data. A device management component registers devices with the service and monitors and configures them. For device connectivity and communication with the Google Cloud Platform, MQTT and HTTP protocol bridges are utilized.
• Cloud Pub/Sub handles data ingestion and message routing for additional data processing.
• Google BigQuery allows for secure real-time data analytics.
• AI Platform makes use of machine learning capabilities.
• Google Data Studio visualizes data through the creation of reports and dashboards.
• The Google Maps Platform aids in visualizing the location of linked items.

The platform connects to the Internet of Things hardware from Intel and Microchip automatically. It is compatible with several operating systems, including Debian Linux OS.

Google Cloud IoT’s main characteristics include:

• AI and machine learning capabilities.
• Data analysis in real-time
• Data visualization that is impressive
• Tracking your location

Core use cases:

• Maintenance that is planned in advance
• Real-time asset tracking
• Management of logistics and supply chains
• Smart cities and buildings

Cisco IoT Cloud Connect

Cisco IoT Cloud Connect is designed with mobile operators in mind. The best Internet of the Things cloud platform is this mobility cloud-based software suite for industrial and individual use cases. Cisco also gives reliable IoT hardware, including switches, access points, routers, gateways, and other devices. Consider the following Cisco IoT product and solution examples.

• The Cisco IoT Control Center ensures seamless cellular connections, allowing you to integrate all IoT devices into a SaaS solution.
• Comprehensive business solutions enable business IoT application development at the edge and ensure rapid deployment and centralized network management.
• Edge Intelligence simplifies data processing by mapping data streams to local or multi-cloud environments.
• Industrial Asset Vision uses sensors to monitor your assets continuously and provide data to make better decisions.
• Cisco IoT Threat Defense protects sensitive data and devices from cyber-attacks by securing remote access, segmentation, visibility and analysis, and other security services.
• Core features of Cisco IoT Cloud Connect:
  • Powerful industrial solutions
  • High-level security
  • Edge computing
  • Centralized connectivity and data management

  Core use cases:

  • Connected cars
  • Fleet management
  • Home security and automation
  • Payment and POS solutions
  • Predictive maintenance
  • Industrial networking
  • Smart meters
  • Healthcare

  IRI Voracity

  If you need an all-in-one data management platform to implement IoT data control at every stage of your business process, IRI Voracity is a perfect choice. The platform uses two engines IRI CoSort and Hadoop, to process big data. You can discover, manage, integrate, analyze, transform, and migrate data from various sources and formats, such as Unix, Linux or Windows file systems, ISAM, MongoDB, LDIF, HIVE, JSON, S3, PostgreSQL, MQTT, Kafka, etc.

  IRI Voracity Core Features:

  • Data Governance Portal supports searching and sorting data in silos. It also provides encryption and anonymity to comply with data privacy regulations.
  • Faster ETL and analytical alternatives perform large-scale data extraction and transformation much faster than traditional ETL tools.
  • The DB Ops environment allows you to manage all your databases from one place.

  Core use cases:

  • Big Data analytics
  • Data governance
  • ETL modernization

  • Particle

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    Particle provides edge-to-cloud IoT development tools for global connectivity and devices and hardware solutions, including development kits, production modules, and asset tracking teams. With Particle’s team of IoT experts providing professional end-to-end services, you can develop products from concept to production.

    The main features of the Particle platform:

    • Integrate with third-party services via REST API
    • Cloud protected by a firewall
    • Can process data from Google Cloud or Microsoft Azure
    • No technical knowledge is required to use the platform

    Core use cases:

    • Real-time asset monitoring
    • Live vehicle tracking
    • Predictive maintenance
    • Environmental monitoring
    • Compliance monitoring
    • Real-time order fulfillment

    Salesforce IoT Cloud

    Salesforce focuses on customer relationship management and has smartly enhanced this market segment with the help of IoT solutions. The Salesforce IoT Cloud platform collects valuable information from connected devices to provide a personalized experience and build stronger relationships with your customers. Works with Salesforce CRM – Connected asset data is sent directly to the CRM system, where context-based operations start immediately.

    For example, suppose the sensor detects a windmill performance error. In this case, it will be immediately reflected in the CRM dashboard, and the system can automatically adjust the parameters or create a service order.

    Salesforce IoT Cloud core functions:

    • Complete customer, product, and CRM integration
    • No need for programming abilities to create rules, conditions, and events due to a simple point-and-click UI
    • Websites, services, and other support third-party products
    • Proactively resolve customers Problems and needs.

    Core use cases:

    • Government administration
    • Chemicals
    • Machinery
    • Financial services
    • Marketing and advertising

    By using Salesforce IoT Cloud, companies can fully understand customer data, improve the customer experience, and increase sales.