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February 25, 2025 • 3 mins
This is you Robotics Industry Insider: AI & Automation News podcast.

As we step into the future of robotics and automation, it's clear that 2025 is shaping up to be a transformative year. The integration of Artificial Intelligence (AI) with robotics is revolutionizing industries, from manufacturing to healthcare, by enhancing efficiency, productivity, and safety.

A key trend this year is the expansion of Robotic Process Automation (RPA), which is projected to reach a market value of approximately $7.01 billion. RPA is particularly gaining traction in HR and finance, streamlining repetitive tasks and enabling teams to focus on strategic initiatives[1].

Another significant development is the growth of hyperautomation, which combines RPA, AI, Machine Learning (ML), and other advanced tools to achieve seamless, end-to-end process automation. This powerful combination is set to revolutionize business operations, boosting productivity and operational agility[1].

The Industrial Internet of Things (IIoT) is also on the rise, with the global number of IIoT connections expected to reach 36.8 billion by 2025. This will significantly impact the manufacturing sector, enabling the vision of the "smart factory" concept to be realized. IIoT technology will enhance data interpretation and provide predictive insights, crucial for improving maintenance schedules, quality control, and overall productivity[1].

In the realm of collaborative robots (cobots), we're seeing an expansion into new applications beyond traditional industrial settings. Cobots are now designed to work safely alongside humans in more dynamic environments, assisting with tasks that involve heavy lifting or repetitive motions[2].

AI integration in robotics is also advancing, with the development of neuro-robotics, which integrates AI with neuroscience to create robots that can interact directly with the human brain. This technology holds immense potential for applications such as brain-controlled prosthetics and rehabilitation therapies[4].

Looking at market applications, AI-powered systems are being used to optimize energy consumption in manufacturing, analyzing energy usage patterns and automatically adjusting processes to minimize waste. This is driven by regulatory pressures, evolving customer expectations, and heightened shareholder expectations[5].

In recent news, the focus on sustainability through automation is gaining momentum, with manufacturers increasingly using AI to boost efficiency and reduce carbon footprints. For instance, AI-powered automation is being used to optimize energy use across industrial processes, reducing energy intensity and operational costs[5].

Practical takeaways for industry insiders include the need to stay ahead of automation trends to unlock competitive advantages, improve operational efficiency, and build resilience in a dynamic market. Embracing AI, IIoT, and hyperautomation can help businesses achieve superior outcomes and capitalize on emerging opportunities.

As we look to the future, it's clear that the integration of AI and robotics will continue to transform industries, driving operational excellence and innovation. With the rise of hyperautomation, IIoT, and cobots, we can expect to see more efficient, responsive, and sustainable systems that redefine what's possible in manufacturing and beyond.


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Transcript

Episode Transcript

Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:00):
As we step into the future of robotics and automation,
it's clear that twenty twenty five is shaping up to
be a transformative year. The integration of artificial intelligence AI
with robotics is revolutionizing industries from manufacturing to healthcare by
enhancing efficiency, productivity, and safety. A key trend this year

(00:20):
is the expansion of robotic process automation RPA, which is
projected to reach a market value of approximately seven point
oh one billion dollars. RPA is particularly gaining traction in
HR and finance, streamlining repetitive tasks and enabling teams to
focus on strategic initiatives. One another significant development is the
growth of hyper automation, which combines RPA, AI, machine learning mL,

(00:45):
and other advanced tools to achieve seamless, end to end
process automation. This powerful combination is set to revolutionize business operations,
boosting productivity and operational agility. The Industrial Internet of Things
IIOTO is also on the rise, with the global number
of IoT connections expected to reach thirty six point eight

(01:06):
billion by twenty twenty five. This will significantly impact the
manufacturing sector, enabling the vision of the smart factory concept
to be realized. IoT technology will enhance data interpretation and
provide predictive insights, crucial for improving maintenance schedules, quality control,
and overall productivity. One. In the realm of collaborative robots cobots,

(01:29):
we're seeing an expansion into new applications beyond traditional industrial settings.
Cobots are now designed to work safely alongside humans in
more dynamic environments, assisting with tasks that involve heavy lifting
or repetitive motions. AI integration in robotics is also advancing
with the development of neuro robotics, which integrates AI with

(01:51):
neuroscience to create robots that can interact directly with the
human brain. This technology holds immense potential for applications such
as brain controlled prosthetics and rehabilitation therapies. For looking at
market applications, AI powered systems are being used to optimize
energy consumption in manufacturing, analyzing energy usage patterns and automatically

(02:15):
adjusting processes to minimize waste. This is driven by regulatory pressures,
evolving customer expectations, and heightened shareholder expectations. Five. In recent news,
the focus on sustainability through automation is gaining momentum with
manufacturers increasingly using AI to boost efficiency and reduce carbon footprints.

(02:35):
For instance, AI powered automation is being used to optimize
energy use across industrial processes, reducing energy intensity and operational costs.
Practical takeaways for industry insiders include the need to stay
ahead of automation trends to unlock competitive advantages, improve operational efficiency,
and build resilience in a dynamic market. Embracing AI, IO

(03:00):
and hyper automation can help businesses achieve superior outcomes and
capitalize on emerging opportunities. As we look to the future,
it's clear that the integration of AI and robotics will
continue to transform industries, driving operational excellence and innovation. With
the rise of hyper automation, IoT and cobots, we can

(03:21):
expect to see more efficient, responsive, and sustainable systems that
redefine what's possible in manufacturing and beyond. And that is
it for today. Make sure you hit the subscribe button
and never miss an update. Thanks for listening. This has
been a quiet please production. For more check out Quiet
Please dot ai
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