Skip to content
MarketScale
‹ Back to IndustriesIndustrial IoT

Listen: Robotic Arms Are Dominating The Future Of Automation

Looking in the perspective of the manufacturing industry, when considering buying parts, usually the one that is produced for cheaper and on a quicker timeline will always win. With that being said, automation or IoT in the space have really highlighted the problem with ROI in various companies as these complex equipment processes might…

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

By Industrial Iot ·
Share

Key takeaways

01

Looking in the perspective of the manufacturing industry, when considering buying parts, usually the one that is produced for cheaper and on a quicker timeline will always win.

02

With that being said, automation or IoT in the space have really highlighted the problem with ROI in various companies as these complex equipment processes might…

Looking in the perspective of the manufacturing industry, when considering buying parts, usually the one that is produced for cheaper and on a quicker timeline will always win. With that being said, automation or IoT in the space have really highlighted the problem with ROI in various companies as these complex equipment processes might cause an unintended hindrance.

So, there are definitely things that engineers should consider before they decide to move forward in purchasing equipment or going in the direction of robotic arms. For instance, a lower barrier of entry will affect the initial cost associated with the equipment therefore possibly reducing access to that form of technology. Another thing that should greatly impact a decision like this is the subscription model which would allow a smaller initial cost and possibly would raise the level of adoption of this technology, however, it could also do the opposite considering that many companies prefer to own their own equipment.

One more thing to consider is the number of accessories and partnerships involved with this change as it’s important to know that even the simple improvement of one tools taking off seconds of a process can result in huge productivity benefits. Whatever direction you may go in, it’s evident that this industry, whether it’s referring to automation or robotic arms, they will always sway towards the company that can best product quality products at a fast pace.

About the author

II
Industrial Iot

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Industrial IoT expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's Industrial IoT expertise into the articles, video, and social content B2B marketing buyers in your industry are searching for. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Industrial IoT Insights

Technology in manufacturing: the operational trends shaping factory floors in mid-2026

Technology in manufacturing: the operational trends shaping factory floors in mid-2026

The manufacturing sector is experiencing significant technological shifts, with a focus on physical AI and addressing an 80% automation gap. As these trends evolve, operations leaders are prompted to take decisive actions to adapt to these technological advancements and improve factory efficiency.

  • 01Manufacturing technology is shifting focus towards physical AI.
  • 02There is an 80% automation gap that needs urgent attention by ops leaders.

Jul 21, 2026

73% of mid-market manufacturers are still testing AI, with zero at full deployment

73% of mid-market manufacturers are still testing AI, with zero at full deployment

A new survey by Kaufman Rossin highlights that 73% of mid-market manufacturers remain in the AI testing phase, with none having fully deployed AI systems. The main obstacles cited are siloed data and outdated ERP systems that hinder full AI adoption.

  • 0173% of mid-market manufacturers are still in the AI testing phase.
  • 02Legacy ERP systems and siloed data are major barriers to AI adoption.
  • 03No mid-market manufacturers have fully deployed AI as of the survey.

Jul 21, 2026

Global M&A hits $2.8 trillion in H1 2026, with mega-deals and AI infrastructure pulling industrial manufacturing to a 28% surge

Global M&A hits $2.8 trillion in H1 2026, with mega-deals and AI infrastructure pulling industrial manufacturing to a 28% surge

Global M&A activity reached a record $2.8 trillion in H1 2026, up 48% compared to the previous year. The increase was driven by trends like AI infrastructure and grid modernization. These factors contributed to a 28% surge in the industrial manufacturing sector.

  • 01Global M&A activity in H1 2026 reached $2.8 trillion, marking a 48% increase from the previous year.
  • 02AI infrastructure and grid modernization are significant drivers of the increased M&A activity.
  • 03Industrial manufacturing experienced a 28% surge, influenced by mega-deals and industry advancements.

Jul 20, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512