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Future Today Institute's 2021 Tech Trend Report - 5G, Robots and Transportation

"As 5G comes online and reduces latency, robots will process spatial data at fast enough speeds to adapt to environmental changes."

5G is the fifth generation mobile network and a global wireless standard. Since the first 5G mobile networks began launching in 2019, this new standard has rolled out slowly around the world. Eventually, 5G will offer higher speeds, low or e... view more

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Introduction and Summary: There will be millions of implementations of robots-as-a-service over the next five years, which could generate billions of dollars of revenue.

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5G: There’s a geopolitical fight underway, pitting the U.S. against China in a race to deploy the telecom equipment and systems required to build 5G networks.

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Edge: Edge computing performs computations near or at the source of data. Edge computing is accelerating and will impact data centers and cloud expansion in 2021.

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Quantum: Quantum computing uses the properties of quantum physics to store data and perform computations using specialized machines.

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Robots: Cloud robotics and automation is a field in which physical robots share data and code, and perform computations remotely via networks, rather than within their containers alone.

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Logistics and Supply Chains: Researchers anticipate that 6 million mobile robots will be shipped within the next decade, shifting every sector of the global economy, drastically transform the supply chain.

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Drones: In a drone swarm, the collective functionality of the overall network becomes more important than each individual drone, and the group of drones can “learn” and adapt synergistically.

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Transport: Vehicles are evolving into controlled mobile biospheres that allow people to move through the world and spend extended periods in their cars without subjecting themselves to the elements and contagions.

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Scenario - Near-future neutral scenario: The quality of any algorithm has a significant correlation with the size of the dataset on which it is trained. The size of these datasets in autonomous driving is reaching an inflection point as the number of autonomous car users regularly generating real-world driving data approaches critical mass.

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Scenarios, Applications, and Key Questions: What parts of our business make us vulnerable to disruption in networks, logistics, or transportation? When was the last time we audited the systems that keep those parts of our business safe?

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About Authors at the  Future Today Institute (FTI)