Robotics Insight for 2030: Cobots, Clouds and AI


Robotics technologies are expected to continue evolving in the upcoming decades. Moreover, the challenges that 2020 has triggered in society have exposed the importance of remote control and automation for cases when a job needs to be done anyhow.

According to the report by Reportlinker, industrial robotics will grow from 76 billion USD in 2020 to 176 billion USD by 2025, with 18% of the compound annual growth rate. Where do we need such a large volume of robots? By all means, robotics and AI machinery will be primarily used to handle materials and when a repeated task needs to be performed with high accuracy.

Nick Grebenkine, a private investor, says, “We’re facing a world rapidly transforming into a robotized environment where most of the events are performed by artificial intelligence. In the lockdown, we saw businesses using drones for delivery, autonomous cars driving passengers home, mobile payments, and many chatbots that give customers the best advice on products to buy. I find this trend very challenging for the industries that are yet not prepared to delegate their duties to robots because the later you automate your business, the less chance you have to survive in this new big machine-learning world.”

An unbeatable benefit of using robots is the increased return on investment for the owner. By substituting manpower with the unlimited resource of robots, you let strategists concentrate on new markets, escape the risk of fraud and cut expense on operational costs. The more processes you automate the more predictable efficiency you obtain as a result.

Let’s have a closer look at the industrial robotics market insights that are most likely to happen in this decade.

Cloud robotics

Like any technology, robotics needs both software and hardware. Now, when most businesses leverage the benefits of cloud storage, it became clear that robotics should provide the same level of comfort for their operators. Thus, software management platforms are provided for businesses that want to manage their robots remotely using ready-made instruments to control their robots. Cloud robots use the data center, data management and analytics systems, cloud storage, and SaaS tools supplied by the cloud service provider.

Another benefit of using cloud technologies in robotics is connecting robots into one network without custom adjustments. A single platform compatible with most technologies allows robots to immutably communicate with each other, avoiding possible delays in data exchange.


Collaborative robots are robots that can work with human workers without the risk of injuries or incidents. Cobots are safe to use and can be used in a vast number of locations, including storage houses, production lines, quality control, and many others.

To mitigate possible risks, cobots are equipped with hi-end IoT sensors and detectors which immediately respond to borderline indications. In addition, cobot software recognizes dangerous situations both when the hazard is caused by machines or by external circumstances.

This robotics sector is expected to grow the most by 2030, with further growth of tasks delegated to robots and a farsighted transition to total robotization.

Drones everywhere

During the pandemic, drones were globally used instead of humans to deliver diverse small and large products horizontally and vertically, yet not available for human beings.

The outburst of drone usage has highlighted the urgency for technology advancement to apply drones in more fields. Commercial drones are autonomous machines that have lightweight and a whole bunch of sensors. This allows operators to use them in retail delivery and logistics, transportation, inventory, supply chains, military, industrial manufacturing, automotive, mining and oil industry, and many others.

AI robotics

Nowadays, most robots are programmed with artificial intelligence-powered software, which makes them perform tasks autonomously. To keep a high level of efficiency, robots use sensitive sensors, video controls, and actuators that instantly remind the system of inclinations.

Through machine-learning tools and AI algorithms, robots collect and analyze performance by themselves. What is more, if connected to a network, robots synchronize their data to work out the most productive action plan.

The future

By 2030, we shall expect robots as software to self-educate and self-program, allowing their user to disengage from the processes. Thus, robots will substitute human beings acting as shopping assistants, online consultants, analysts, programmers, and even writers in some areas. Due to this, robotic software prices are expected to drop down a lot unless the software is provided for free.

Industrial robotics is going through considerable changes as the pandemic stressed the importance of autonomy in producing and delivering goods of first necessity. As a result, industrial robotics development will grow in price by 2025 and drop down by 2030, as soon as the pioneering technology becomes traditional.