In 2020, the electronics industry will emphasize on system-level testing as the definitive, final step to assure end-to-end performance, integrity and reliability across the increasingly connected world.

Digital twins will move to the mainstream

Digital twins, or the concept of complete replicate simulation, are the nirvana of design engineers.

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System level design, test and monitoring will experience a dramatic transformation

The connected world will force a shift in how performance, reliability, and integrity are evaluated.

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• Today, there are available tests for radar antennas and a radar transceiver module. However, testing a multi-antenna radar system integrated into a car will require a different testing approach. The same is true for datacenters, mission critical IoT networks, automobiles, and a wide range of new, complex, 5G-enabled applications.

• of Things”, especially when communication failure and network disturbances can bring about devastating or life-threatening consequences. The same will be true of Industry 4.0 applications and smart city applications. Uptime will not be optional.

In 2020, we will see digital twins mature and move to the mainstream as a result of their ability to accelerate innovations. To fully realize the technology’s benefits, companies will look for advanced design and test solutions that can seamlessly validate and optimize their virtual models and real-world siblings to ensure that their behaviours are identical.

In 2020, realizing the full potential of sensor systems connected to communication systems connected to mechanical systems will require new ways to test at the system level.

In 2020, the electronics industry will emphasize to assure end-to-end performance, integrity and reliability across the increasingly connected world.

Education will shift to prepare the next generation of engineers

Universities will adopt holistic, integrated, and multidisciplinary curricula for engineering education.

• Academia will tap into industry partnerships to keep up with the accelerating pace of technology and incorporate certification programs, industry-grade instrumentation and automation systems into teaching labs to train students on current, real-world applications.

• To address IoT, universities will combine methodology from basic electronics, networking, design engineering, cybersecurity, and embedded systems, while increasing emphasis on the impact of technology on society and the environment.

• To address artificial intelligence, automation and robotics, Universities will mainstream currently niche topics such as cognitive science and mechatronics into required learning.