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The UR survey confirmed corporations are more and more utilizing AI and machine studying, and digitalization, of their companies. | Supply: Common Robots
The synthetic intelligence market is projected to achieve $407 billion by 2027, with an annual development fee of 37.3%, in response to Forbes. To make clear this rising market, Common Robots A/S, or UR, just lately requested almost 1,200 producers throughout North America and Europe how they use the expertise and the way they plan to take a position sooner or later.
Greater than 50% of respondents mentioned they already use AI and machine studying of their manufacturing.
“AI isn’t simply hype,” acknowledged Anders Billesø Beck, vice chairman for technique and innovation at Common Robots. “Although it could solely have change into a standard subject of dialog inside the final two years, AI and machine studying at the moment are important drivers of innovation and effectivity in at present’s manufacturing.”
Wanting ahead, 48% of producers plan to additional spend money on AI and machine studying by 2025, indicating that these applied sciences will proceed to play a pivotal function in the way forward for manufacturing. With a confidence fee of 99%, the survey gathered responses from seven completely different nations in Europe and North America.
The contributors represented 569 massive enterprises and 278 small and midsized corporations. They got here from numerous industries, primarily manufacturing, healthcare, meals and beverage, and automotive.
Common Robots mentioned the survey exhibits that AI and machine studying are acknowledged as important applied sciences for present operations and future investments. The Danish collaborative robotic firm predicted that AI-powered robotic methods will change into extra prevalent throughout industries.
Contained in the UR survey outcomes
The UR survey confirmed concern for return on funding was the best concern for respondents. | Supply: Common Robots
Common Robots additionally mentioned the survey signifies the evolving significance of digitalization, with 47% of producers presently utilizing applied sciences just like the Web of Issues, cloud computing, and digital twins. These instruments may also help producers optimize operations, scale back downtime, and save prices by means of simulations and predictive upkeep.
Digitalization additionally allows producers to shift in direction of extra resilient, high-mix manufacturing fashions that higher meet market calls for, mentioned UR.
Over 50% of respondents recognized bettering product high quality, rising productiveness, and enhancing accuracy as high causes for embracing new applied sciences. UR asserted that this demonstrates business’s dedication to utilizing robotics and AI to enhance efficiency and competitiveness out there.
As well as, 30% of producers surveyed mentioned they’re utilizing expertise to enhance working circumstances, and 26% are pushed by sustainability targets.
Whereas return on funding (ROI) stays the first concern for 32% of producers, different components corresponding to usability, in-house experience, security, and potential disruptions have been additionally vital (throughout 20%).
As automation and AI achieve extra traction, producers have more and more prioritized ease of use as a key issue when investing in applied sciences. Forty-seven p.c of respondents mentioned that it’s of biggest significance to them that applied sciences are easy to combine and function.
This was intently adopted by reliability. Different components cited by the survey respondents embrace modularity, sustainability, quick deployment, and predictive upkeep.
Editor’s notice: Eric Truebenbach, managing director of Teradyne Robotics Ventures, will take part in panels on the way forward for robotics innovation and robotics funding tendencies at RoboBusiness 2024, which might be on Oct. 16 and 17 in Santa Clara, Calif. Teradyne is the guardian firm of Common Robots and Cellular Industrial Robots.
