Robotics as a Service Market
size is valued at USD 1.8 billion in 2023 and is anticipated to USD 4.0 billion
by 2028; growing at a CAGR of 17.4% from 2023 to 2028. Factors such as rising
demand for collaborative robots across industries and robotics as a service
lowers cost in long run are fueiling the market growth for market.
Driver: Lowers cost in
long run
Robotics as a service
model offers customers a lower cost of upfront investment, as well as provides
an opportunity to subscribe for access to a complete, connected, and
interoperable autonomous mobile robotic fleet with the latest enhancements. In
contrast to traditional ways of buying and implementing industrial automation,
paying per item of work speeds up the Return On Investment (ROI) and reduces the
Total Cost of Ownership (TCO) for the deployment in comparison to traditional
buying and implementing methods. A significant advantage of the robotics as a
service model is that operators of robotics as a service are constantly
updating and improving their technology, so customers do not have to worry
about obsolescence.
Restraint: Lack of
interaction between robots and human workforce
Robots require expert
programming and training to perform tasks, so companies need to hire
experienced engineers and programmers to oversee the installation of robots. On
top of that, even experienced personnel might need retraining when new software
is developed or new robots appear on the market. The complexity of challenging
real-world tasks requires robotics systems with the spatial, temporal,
physical, and social understanding that can be best addressed by a broad range
of methodologies and tools.
Opportunity: Data-driven
process improvement
Large-scale machine
learning is one of the greatest triumphs of artificial intelligence in the last
decade. Robotics as a service is able to achieve the goal of democratizing
robotics automation because it lowers the cost of entry for users and brings
cutting-edge robotics technology to warehouses of all sizes. Robotics research
has provided a wealth of powerful models for perception, estimation, planning,
compliant strategies, and control and its guarantees. With cloud technology,
cloud-based systems can communicate data smoothly to any distribution channel
to aid with the supply chain, which in turn can help with the complete value
chain and improve costs over the long term for businesses.
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Challenge:
Interoperability and integration issues
The amount of
customization required for the robots to be useful for specific organizations
still needs to be overcome. It is important to note that although a base
platform might be the same across many entities, adaptations will need to be
made for a robot to function, which will cause a longer implementation window
as well as increased costs. Robotics as a service is the solution of choice for
many organizations, regardless of the growing pains involved. Providing
technical expertise, upskilling human workers, and improving a common base,
with improved robotic tools and general collaborative robots, are critical
pieces of the puzzle robotics as a service organizations need to get a better
handle on to improve the adoption of smarter robotics.
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