Best IoT Software for Your Business

The best IoT software options trending in the market are Box, Blynk, Dell Boomi, Fracttal, Wolfram Mathematica, and Pentaho IoT. Such Internet of Things software is used for the real-time collection of data and presentation of reports. Compare and choose the perfect IoT software as per your requirements. All software listed by pricing, by genuine customer rating & reviews, by features, by industry wise, by business type, by device supported. Schedule FREE demo now.

Live Agent - Tejasvita Domadiya
Live Agent - Divyang Kansara
Live Agent - Manali Shah
Get Free Demo

No Cost Personal Advisor

List of 20 Best IoT Software

Showing 1 - 20 of 79 products

High Performer | 2024

Making complex IoT technology simple

Blynk is one of the most popular internet of things platform that offers software, web solutions, firmware, and mobile apps. It incorporates private clouds, device management, data analytics, and machine learning into the system. Read Blynk Reviews

Contenders | 2024

Accelerates your digital ecosystem

Dell Boomi offers an IoT platform that lets you connect everything you need — people, technology, applications, and data, among other things. It is built on an advanced distributed architecture that enables easy cloud-native integration.   Read Dell Boomi Reviews

Emergents | 2024

Maintenance management IoT software

Fracttal is a cloud-based system that helps you gain more control over your inventory levels, stock purchases, and inventory management costs. It integrates the IIoT and Big Data to enable industries and organizations to achieve complete optimization of their processes. Learn more about Fracttal

Emergents | 2024

Predictive analysis internet of things (IoT) software

Wolfram Mathematica is a software used for internet of things that handles all facets of technical computing. It includes visualizations, machine learning, data science, and image processing. Plus, the system is continually expanding and is available for on-premise deployment. Learn more about Wolfram Mathematica

Emergents | 2024

Internet of things analytics by Hitachi

Pentaho's IoT analytics tools easily prepare and blend sensor and machine data with other data asses to provide a great insight to help with smart decision making. It helps uncover patterns in equipment and device data with machine-learning tools. Learn more about Pentaho IOT

Category Champions | 2024

Google Cloud IoT offers a comprehensive suite of tools that assists in connecting, processing, and analyzing data. It helps accelerate business agility and the decision-making process. It offers an integrated software stack with machine learning capabilities for all your IoT needs. Read Google Cloud Storage Reviews

Most Reviewed

Emergents | 2024

IoT management software by Nobel Systems

Geoviewer Mobile, IoT, and Billing is a software that unifies many field and operational processes to help manage back office to field operations. It uses the latest cloud-based technology and GIS tools. Additionally, it can integrate with many legacy systems. Learn more about Geoviewer Mobile, IoT, and Billing

Contenders | 2024

IoT operating system for successful business transformation

iGrafx is one of the best IoT software that enables companies and organizations to improve their productivity in terms of effective business processes. It captures, centralizes, and share methods knowledge, which result in easy and quick collaboration. Read iGrafx Reviews

Emergents | 2024

Industrial IoT software

Applicare is an industrial IoT software designed by administrators and performance experts to improve the performance and stability of enterprise applications. It uses Arcturus IntelliTrace and IntelliSense technologies to monitor the process and self-detect problems. Learn more about Applicare

Emergents | 2024

IoT device management software

SpinalBIM Suite is a dynamic BIM software that integrates easily with an application enablement platform to create any app by using data from IoT sensors, CMMS, etc. Moreover, it helps improve collaboration, task automation, and site management. Learn more about SpinalBIM Suite

Emergents | 2024

Leading analytical and reporting platform

BuildingOS is one of the best IoT software that is designed to manage building performance. It provides complete visibility into your building portfolio to enhance sustainability, improve building operations while increasing the employees' productivity. Learn more about BuildingOS

Emergents | 2024

Integrated IoT software solution

Drawbase Enterprise offers a full range of professional services needed for a successful implementation. It provides tools for site assessments, integrations to legacy products, and data migration. It has a well-established partnership with solutions like IMB Maximo. Learn more about Drawbase Enterprise

Emergents | 2024

IoT software solutions

CYBEATS is an IoT device management software that protects IoT devices throughout their lifecycle. It takes a unique 'inside-out' approach to cybersecurity. It is best suited for companies that manufacture, integrate, or deploy IoT devices in the enterprise. Learn more about CYBEATS

Emergents | 2024

Analytical solutions by SkyFoundry

SkySpark is an analytical platform that automatically analyzes data from metering systems, building automation systems, and other smart devices. It helps identify faults and patterns, and opportunities that can contribute to cost reduction and operational improvements. Learn more about SkySpark

Category Champions | 2024

Commercial MQTT Broker for any IoT Implementation

Bevywise MQTTRoute represents a comprehensive IoT Application suite inclusive of an integrated MQTT Broker. It functions as an ideal middleware, gathering data from IoT edge devices for secure deployment both in MQTT cloud and On-premise setups. Read MQTTRoute Reviews

Category Champions | 2024

Highly scalable distributed server for large scale

The Bevywise IoT platform is a SaaS-based, extensively adaptable server setup for device connectivity and management. It delivers complete support for the MQTT protocol along with robust device management capabilities. Read Bevywise IoT Reviews

Contenders | 2024

Society Management Solution for a Smart Society

mynukad is a unique society management platform with features to secure, automate and smartly govern any residential complex. Leave hassles of visitor tracking, helper tracking, complaint resolutions, vehicle security and many more. Read mynukad Reviews

Contenders | 2024

IoT Simulator for IoT & MQTT Application testing

The Bevywise IoT simulator serves as a clear data simulation tool for evaluating the effectiveness of IoT/MQTT applications. Easily test and demonstrate real-time IoT applications and devices in a straightforward manner. Read Bevywise IoT simulator Reviews

School Bus Tracking Student Monitoring Solution

GPS/RFID based tracking system - Trakom enhances the safety of students. Provides excellent tracking features for schools and comes handy for the drivers as well as parents. Read Trakom - Asti Reviews

Thingsup is a Low code platform that allows users to build their IoT application from scratch within hours. It has Device management, Dashboard Builder, Data processing, Database integrated, Rule engine, Alert Engine, billing control and brand labeling feature. Read Thingsup Reviews

What is the Internet of Things (IoT)?

The Internet of Things (IoT) is taking the digital revolution by storm in this new era. The IoT has the potential to effectively harness all your work energy by empowering you with remote monitoring and communication.

The main idea is to connect devices and allow them to communicate over the Internet and transmit and receive data using different connectivity protocols with the system over the Internet.

It takes you to a smart world where you seamlessly connect with all the devices, things, and people. By integrating your device system with an IoT software solution, you can manage all your devices centrally and effortlessly and eventually enhance the overall efficiency of your operational process. This goes a long way in adding value to your business activity, as the redundant activities are automatically removed.

What is an Internet of Things (IoT) Software?

Internet of Things (IoT) software is a solution that addresses key areas of networking and action through embedded systems, platforms, partner systems, and middleware. It is responsible for device integration, data collection, real-time analytics, and application and process integration within the IoT network.

The IoT software solution is responsible for the following:

  • Data Collection: Internet of Things (IoT) software is designed to manage light data filtering, sensing, light data security, and data aggregation. It is programmed to aid sensors in connecting with real-time, machine-to-machine networks. It then collects data from multiple devices and sends them to the central server. In certain cases, it also works in reverse order by distributing data over devices.
  • Device Integration: IoT management software binds all devices to form a complete IoT system. It ensures stable networking and cooperation between devices, without which the IoT system will not work. They manage different applications and protocols of each device to allow communication.
  • Real-Time Analytics: IoT device management software is responsible for taking input from various devices and converting those signals into a clear pattern for human analysis. They arrange and analyze this information based on their programming and provide the data required by the industry.
  • Integration of Application and Processes: This software integrates predefined devices for specific purposes, such as allowing access to certain mobile devices or engineering instruments. It improves cooperation and increases productivity in terms of collecting more accurate data.

Where is IoT Software Commonly Used?

The Internet of Things has helped people gain more control over their lives. It allows businesses to automate tasks like data collection and offers smart devices to automate homes.

Internet of Things (IoT) software has touched almost every industry, including finance, healthcare, automobiles, retail, and manufacturing. The smart cities concept has been developed using the Internet of Things solutions. It helps citizens reduce waste and energy consumption. Moreover, the connected sensors are used in farming to help monitor crop and cattle yields and predict growth patterns.

It's safe to say that IoT is one of the most important technologies of everyday life.

How Can You Use IoT in Different Industries?

The Internet of Things has many real-world applications, ranging from enterprise IoT to manufacturing, industrial, and consumer IoT. Let's discuss them in detail.

  1. Automobile: Earlier, the main focus of automotive digital technology was only limited to optimizing vehicles' internal functions. But now, the attention has also shifted to enhancing the in-car experience. A connected car can optimize its operation and the comfort of passengers using onboard sensors and internet connectivity. Major brands like BMW, Apple, Amazon, Google, and more are working on revolutionizing the way humans and physical goods get from point X to Y. Rolls-Royce is building remote-controlled drone ships that will be operated from a central hub. Amazon's Prime Air will deliver small packages in 30 minutes or less via autonomous aerial vehicles. With the Internet of Things, vehicle sensors can alert maintenance crews of any issues, and GPS apps can help safely navigate you to your destination.
  2. Manufacturing: Smart manufacturing is revolutionizing the way goods are produced and tracked. Popularly known as the Industrial Internet of Things (IIoT), it empowers engineering with software, big data analytics, and sensors to create brilliant machines. IIoT's main focus is on sustainability and quality control. For instance, some sensors can collect data on how long a package was in transit, the condition in which it arrived, and even the temperature it was stored in. IIoT philosophy is based on the fact that smart machines can collect more accurate and consistent data than humans. And this data can help detect inefficiencies better and help solve the problem soon.
  3. Energy Engagement: The world is moving towards a smart grid concept. The basic idea is to collect data in an automated way and analyze it to study consumer behavior to improve efficiency and the economics of electricity use. These smart lights and thermostats allow users to control their lighting, heating, and cooling remotely. IoT-connected appliances can help homeowners or business houses save on energy costs by automatically shutting the lights off when no one is around. So even if you forgot to adjust the thermostat's energy before leaving, smart energy appliances could automatically combat unnecessary energy usage to help increase savings.
  4. IoT Healthcare: IoT has also penetrated the healthcare industry, empowering doctors and hospitals to monitor their patient's health remotely. IoT software solutions help collect data using connected medical devices like heart monitors. It works best in the interest of the well-being of people in general. In the coming year, IoT in healthcare aims to empower people to live healthier by wearing connected devices. Even insurance companies are encouraging their customers to wear a fitness band. They hope this watch will enable users to lead healthier lives, meaning fewer insurance claims for them.

What are the Must-Have Features of IoT Software?

The following features are crucial for the Internet of Things (IoT) software:

  • Modular and Future-Proof: Your IoT operating system should be able to connect with any device, machine, or sensor over any network. Plus, it should be future-ready for enterprise integration, API management, and machine learning. Such flexibility will allow you to scale and multiply.
  • Information Security: Generally, the information security measures required to operate IoT software are much higher than general software services and applications. This is because hundreds of devices are connected to an IoT platform, so there is a severe need to anticipate a proportional number of vulnerabilities. The network connection between the software and IoT devices needs to be encrypted with a robust encryption mechanism. However, they must implement alternative measures if low-cost IoT software platforms cannot support advanced access control. For example, they will require to change passwords regularly, support updateable firmware through authentication, and more.
  • Data Collection Protocols: Another essential feature to look out for is the types of protocols used for data communication between different components of the IoT software platform. For instance, a lightweight communication protocol should enable low energy use as common network bandwidth functionality.
  • Data Analytics: It's crucial that all the data collected from the sensors need to be analyzed smartly. Four types of analytics can be conducted on IoT data: real-time, predictive, batch, and interactive analytics.

Statics and Latest Trends in IoT Software

By 2024, there will be a more massive amount of 'connected things.' Gartner predicted that by the end of 2024, there would be over 20 billion connected devices and over 35 billion devices by the end of 2024. These numbers confirm that the Internet of Things (IoT) will be one of the biggest game-changers and trends 2024.

Here are the key trends in IoT software:

  • Standardization of Data Collection Protocol: Soon enough, we will have hundreds of applications to interface with hundreds of devices that don't share protocols for speaking with one another. To improve user interaction, certain standards for communication between devices must be met to solve this problem. Prominent technology leaders are getting together to build a standard system of data collection protocol.
  • IoT Synergy with Machine Learning and AR: Many IoT applications integrate machine learning capabilities, image recognition, augmented reality, and blockchain. One of the most promising applications of IoT in manufacturing markets — predictive maintenance — is built on the integration of machine learning into IoT infrastructure.

By Countries

By Industries

Last Updated: January 02, 2024