October 26, 2017
AI & Industry 4.0

Embedded Software: 2017 Achievements and Future Challenges

Embedded Software: 2017 Achievements and Future Challenges

From January onward, 2017 has been a year of exciting developments in embedded software. So much so, that it’s easy to get lost in all of the buzz.

Embedded software is anticipated to attain $18.61 billion by 2023

Here, we’ll cover five of our favorites trends and give examples of how these innovations are already functioning in practice.

1    Creating an ambient user experience is becoming more important

Users are increasingly expecting customized and customizable experiences as they move from one device to another, or from one space to another. The resulting experiences are changeable at certain places and times set by the user. For example, the third-generation Nest thermostat learns user temperature preferences, as well as using humidity sensors and pyroelectric infrared motion to predict the most optimal temperature for every room.

ambient user experience

2   DNN and deep learning are the primary areas of interest in AI

DNN is currently being used for noise cancellation and handwriting recognition improvements, along with many other projects, but despite its effectiveness, DNN does not work for all applications, including procedural application controls. Data science, too, continues to be a possible avenue in all industries because of cost-effectiveness and a booming need for analytics to use IoT sensor data when making real-time decisions.

3   Demand for RTOS will continue to surge as technology is used in hybrid and electric vehicles

Hardware using Real-Time Operating Systems will continue to be used in all types of devices, from calculators to digital clocks. As such, current examples like LynxOS, Windows CE, and Fusion RTOS will have to continue to develop, especially as this system receives more widespread use in hybrid and electric vehicles into 2023.

Real time operating system

4   More efficient tools are available for application-level development

Time-to-market pressures have killed the byte and the bit. The embedded software designer no longer has time to focus on the microcontroller. Instead, one’s budget and time mean that it is no longer feasible to develop embedded software from the ground up. Instead, tools like the Renesas Synergy Platform and the Cypress Semiconductor provide ways to start developing at the application level. Processor technologies will help embedded apps to perform better, use less power, and be more connected.

Read also: How Ciklum’s R&D developed a prototype of the wearable for Neopenda, a global HealthTech startup, to reduce newborn mortality in developing countries

5   IoT devices continued to boom, and with them, so does the need for increased security

At the Embedded World 2017 conference held in Germany, IoT devices were everywhere. IoT offerings exhibited included smart cities filled with smart cameras and security bridges, but with this increasing focus on IoT, embedded systems also have a needed increased security. This demand is being met with the ARM Cortex-M 23 and Cortex-M 33, processors running with TrustZone, a solution that lets developers write software with improved security.

IoT and embedded devices


With current trends in embedded software requiring lightning-fast development, you may fail to consider a key component or two. Ciklum’s software testing ensures that a flawless product is delivered to market sooner than you might expect. Keeping up with expectations in embedded software can be less of a challenge with a partner like Ciklum.

Read also:

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I Look Therefore I Speak: How Eye Tracking Technology Is Reshaping Communication