Future trends in embedded industry
In many sectors, new applications may be developed more quickly and easily because embedded systems are extremely configurable. Due to their widespread use in wireless communication networks, embedded systems have amassed one of the largest market shares in the telecommunications sector. Microcontrollers will continue to have the highest share of the embedded system market in 2019 as well. An embedded software development company can help you with understanding and incorporating these trends in your business.
In addition to mobile devices and networks, embedded systems will have a significant impact on real-time applications. Aerospace, healthcare, military, and consumer electronics are just a few of the current and future industries that are seeing rapid growth. The ability to programme embedded devices in a number of ways is fueling innovation.
Python- However, despite Python’s popularity with software developers outside the embedded systems field, the number of Python-programmed embedded systems projects has risen by two times.
The worldwide market for Internet of Things (IoT) is expected to reach $1 trillion by 2025, reflecting a significant increase in IoT (Internet of things) connectivity and IoT (Internet of things) adoption.
With 5g’s increased speed, embedded systems will be able to move into new fields. Mobile medical devices, the internet of things, telecom service providers, and the automotive industry are just a few of the many businesses that will benefit from the advent of 5G technology. Systems, processors and networks will all benefit from 5G’s lightning-fast speeds. Quantum computing is unquestionably going to play a major part in enhancing computer performance in the next few years.
A recent trend in embedded systems is the use of artificial intelligence and machine learning, which are becoming more commonplace. Artificial Intelligence (AI) is employed in nearly every industry, from e-commerce to manufacturing to supply chain management to industrial control. IoT and embedded systems, which are physical devices, help to generate data so that functionality may be achieved by AI.