In recent years due to the development of new technologies, Artificial Intelligence, and wireless communications, the demand for IoT and machine learning have increased like never before. Many major companies and various sectors including healthcare, finance, retail, and others are looking for graduates in the IoT and Embedded systems.
However, both these fields are interlinked and cannot be compared. If we wish to understand which is better between embedded systems vs IoT to build a career then it is crucial to define. In this blog, we will understand the difference between embedded system and IoT.
As per the IEEE Internet of Things, IoT is a self-configuring system having networks of sensors. The IoT enables the interconnection of various things including everyday objects, to interpret human-like intelligence in them. We can easily find applications of IoT around us. Objects and things having sensors for human presence and touch are some examples of this field.
According to the textbook definition, an embedded system performs a specific task consisting of hardware and software applications. In simple words, it is a system designed to enable automatic and semi-automatic systems in a machine.
A daily life example of an embedded system can be a semi-automatic or automatic washing machine that performs human-like tasks of filling water and amount of detergent. We can easily automate any object through an Embedded system and therefore it is clear that the future of Embedded software engineers holds great opportunities.
Now that we know the basics about IoT systems and Embedded systems, let’s look at the differences between the two and compare the opportunities of both fields. Although there are not any huge differences between both fields as the Internet of Things is a part of the Embedded system itself.
IoT involves automation software and sensors like home automation sensors that involve AC temperature controls. On the other hand, the embedded system involves the automation of electronic devices like mobile phones, microwaves, traffic lights, etc.
There is no doubt that embedded systems are the next big bang. People these days want to have everything automated in just a click which can easily be done through an embedded system. There is no product without an established embedded system whether it is a home appliance or a money vending machine.
As per a recent survey, the embedded system industry is estimated to reach more than $400 by the end of 2022. There are already innumerable job opportunities in the industry and are expected to reach 15 lacs jobs by 2022 as all the major tech companies like Infosys, Wipro, L&T, Volvo, and Zensar are investing in embedded systems applications in India.
Just like embedded systems, the IoT system is one of the fastest-growing industries in the world and every other person is eager to know more about the benefits of IoT and its applications in daily life. Let’s have a look at the future of the IoT industry.
There are immense opportunities in the field of Embedded systems, let’s look at some of the major jobs available:
A microcontroller firmware engineer is responsible for designing embedded software and devices like label printers, game controllers, etc.
The major responsibilities include managing embedded software frameworks and open-source stacks through Python and C languages.
A cybersecurity developer designs APIs and works for hardware and other security vulnerabilities.
Though there are new opportunities each day, the average salary of an Embedded software engineer ranges between $60,000 to $95,000 per annum.
There are many job roles in IoT systems. These are some of the major job opportunities:
It is one of the most popular opportunities in the field of IoT. On average, in India, a machine learning engineer gets a salary of $10,000. If you go abroad, it can increase up to $160,000.
A data scientist works to preserve and interpret a high amount of pieces of information and datasets.
The major responsibility of a software engineer is to create various algorithms and packages.
Both the fields have almost equal opportunities and looking at the exponential requirement of graduates in IoT and embedded systems, it is a great idea to step into a field of your choice. However, if we look at salary insights, embedded stands a little higher in terms of scope at present.
The hole between them is diminishing. Implanted frameworks are presently turning into a basic piece of the Web of Things advances. At the point when we talk about IoT, it depends on sensors and actuators to gather information from the actual climate and control various actuators and machines.
The choice between a career in IoT and embedded systems depends on your interests, skills, and career goals. Both fields offer exciting opportunities, and the “best” choice varies based on individual preferences. Ultimately, both IoT and embedded offer promising career paths. It’s beneficial to gain some foundational knowledge in both areas and then specialize based on your preferences and market demand.
Consider pursuing an IoT professional certification or embedded system certification course offered by reputable organizations like The IoT Academy. You can also obtain certifications in both embedded and IoT, acquire a well-rounded skill set, and make an informed decision based on your aptitude and career aspirations.
In conclusion, the choice between IoT and Embedded Systems hinges on individual preferences and career goals. If you’re drawn to hardware-centric development and low-level programming, Embedded Systems may be your forte. On the other hand, if the interconnected world of devices and data excites you, pursuing a career in IoT could be the ideal path.
In case you want to explore your opportunities in any of these fields, The IoT Academy is here to assist you. With years of experience in this domain, you will get assistance from professional mentors who will help you understand these things in a better way.
About The Author:
The IoT Academy as a reputed ed-tech training institute is imparting online / Offline training in emerging technologies such as Data Science, Machine Learning, IoT, Deep Learning, and more. We believe in making revolutionary attempt in changing the course of making online education accessible and dynamic.
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