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. This internet of things software is used for the real time collection of data and presentation of reports.

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What is an Internet of Things (IoT)?

In this new age era, the internet of things (IoT) is taking the digital revolution by storm. 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 stay connected with all the devices, things, and people seamlessly. By integrating your device system with 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.

IoT software solution is responsible for:

  • Data Collection: Internet of things (IoT) software is designed to manage light data filtering, sensing, light data security, and aggregation of data. 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 the reverse order by distributing data over devices.
  • Device Integration: IoT management software binds together all the devices involved to form a complete IoT system. It ensures stable networking and cooperations 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 convert 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 industry.
  • Integration of Application and Processes: This software integrates predefined devices for specific purposes such as allowing certain mobile devices or engineering instruments access. 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 not only allows businesses by automating tasks like collection of data but also offers smart devices to automate homes.

Internet of things (IoT) software has touched almost every industry, including finance, healthcare, automobiles, retail, and manufacturing. There has been the development of the smart cities' concept, which is based on 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 Industry?

There are many real-world applications of the internet of things, ranging from enterprise IoT to manufacturing, industrial, and consumer IoT. Let's discuss them in details.

  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 own operation as well as 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, the sensors inside vehicles 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 is empowering engineering with software, big data analytics, and sensors to create brilliant machines. IIoT 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 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 the consumption behavior for improving efficiency as well as 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 to save on energy cost by automatically shutting the lights off when no one is around. So even if you forgot to adjust the energy of the thermostat 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, where it empowers doctors and hospitals to monitor their patients' 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 is aimed at empowering people to live a healthier life by wearing connected devices. In fact, even insurance companies are encouraging their customers to wear a fitness band. They hope that this watch will encourage users to lead healthier lives, and that would mean fewer insurance claims for them.

What are the Must-Have Features for IoT Software?

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 an IoT software are much higher than general software services and applications. This is because hundreds of devices are connected with an IoT platform, and 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, if low-cost IoT software platforms cannot support advances access control, they need to implement alternative measures. For example, they will require to change passwords regularly, support updateable firmware by way of 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 be used to enable low energy use as low 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 2020, there will be a more massive amount of 'connected things.' Gartner predicted that by the end of 2020, there would be over 14 billion connected devices and over 25 billion devices by the end of 2021. These numbers itself confirm that the Internet of Things (IoT) will be one of the biggest game-changers and trends in 2020.

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, there needs to be certain standards for communication between devices 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: A wide array of IoT applications integrate machine learning capabilities, image recognition, augmented reality, and blockchain. In fact, one of the most promising applications of IoT in manufacturing markets — predictive maintenance — is built on the integration of machine learning into IoT infrastructure.

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Last Updated: March 09, 2023