News Summary
SAN JOSE, Calif., April 7, 2026 /PRNewswire/ -- Cisco (NASDAQ: CSCO) today announced the release of its latest annual industrial research report, the State of Industrial AI Report, examining how critical infrastructure like factories, utilities, and transportation systems are accelerating their direct deployments of AI. The report provides a data‑driven view into how industrial organizations are adopting AI, the challenges they face as AI moves into live operations, and the opportunities created as AI becomes embedded in physical systems, infrastructure, and workflows.

The double-blind global study surveyed more than 1,000 operational technology (OT) decision‑makers across 19 countries and 21 industrial sectors. The findings show that AI is now delivering measurable operational benefits in use cases such as process automation, automated quality inspection, predictive maintenance, logistics, and energy forecasting. However, many organizations are increasingly constrained by readiness gaps in networking infrastructure, cybersecurity, and IT/OT operating models as AI shifts into real‑time, production‑grade use in physical environments.
"Industrial AI is moving from experimentation into production, where AI systems sense, reason, and act in the real world," said Vikas Butaney, SVP/GM of Secure Routing and Industrial IoT at Cisco. "At this stage, success is no longer determined by models alone, but by whether networks, security, and teams are ready to support AI at the edge, in motion, and at scale. The research shows that organizations confident in scaling AI are those treating infrastructure, cybersecurity, and IT/OT collaboration as foundational, not optional."
Key Takeaways from the State of Industrial AI Report
The survey shows industrial AI has moved from a future consideration to active deployment, with 61% of organizations now using AI in live industrial operations where performance, reliability, and security have direct physical consequences, and 20% reporting scaled, mature deployments. Across manufacturing, transportation, and utilities, AI is powering machine vision, robotics, mobility, and safety‑critical operations. Most organizations plan to increase AI spending (83%), and nearly nine in ten expect meaningful outcomes within the next two years (87%). Yet as adoption accelerates, many are struggling to sustain and expand deployments, with readiness across network infrastructure, security, and skills increasingly determining whether AI can scale consistently across core physical environments.
Background:
Additional Resources:
About Cisco
Cisco (NASDAQ: CSCO) is the worldwide technology leader that is revolutionizing the way organizations connect and protect in the AI era. For more than 40 years, Cisco has securely connected the world. With its industry leading AI-powered solutions and services, Cisco enables its customers, partners and communities to unlock innovation, enhance productivity and strengthen digital resilience. With purpose at its core, Cisco remains committed to creating a more connected and inclusive future for all. Discover more on The Newsroom and follow us on X at @Cisco.
Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco's trademarks can be found at http://www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word 'partner' does not imply a partnership relationship between Cisco and any other company.
Disclaimer: Many of the products and features mentioned are still in development and will be made available as they are finalized, subject to ongoing evolution in development and innovation. The timeline for their release is subject to change.
Logo - https://mma.prnewswire.com/media/2808325/Cisco_Logo.jpg
View original content:https://www.prnewswire.co.uk/news-releases/cisco-research-industrial-ai-moves-into-physical-operations-readiness-gaps-determine-scale-302735314.html
Die Aktien von Siemens haben zur Wochenmitte neuen Auftrieb erhalten. Am Montagvormittag stieg der Kurs an der Dax-Spitze um rund drei Prozent auf 250,30 Euro und markierte damit den höchsten Stand seit Mitte Februar. Zum Rekordhoch von knapp 276 Euro, das kurz zuvor erreicht worden war, bleibt zwar noch etwas Luft, doch die jüngste Analystenunterstützung schürt Erwartungen auf weitere Kursgewinne.
Auslöser der Bewegung ist eine neue Studie von Bernstein Research. Analyst Alasdair Leslie erhöhte sein Kursziel für den Technologiekonzern von 290 auf 300 Euro und bestätigte die Einstufung mit "Outperform". In seiner Analyse verweist er darauf, dass sich die Siemens-Aktie seit Jahresbeginn schwächer entwickelt hat als die Papiere von Wettbewerbern. Gründe dafür seien Sorgen über mögliche Auswirkungen von Künstlicher Intelligenz auf das Softwaregeschäft, kurzfristige Zyklusrisiken sowie die zunehmende Komplexität des Konzerns nach dem anstehenden Umbau.
Leslie hält diese Zurückhaltung des Marktes jedoch für nicht gerechtfertigt und erwartet in den kommenden sechs bis zwölf Monaten eine Neubewertung des Unternehmens. Aus seiner Sicht könnte eine Reihe von Kurstreibern den Bewertungsabschlag gegenüber der Konkurrenz verringern. Konkrete Details zu diesen potenziellen Treibern nennt die Studie zwar nicht, sie verweist aber darauf, dass Siemens vor einer Phase stehe, in der Investoren die Struktur und Ertragskraft des Konzerns neu einordnen dürften.
Zusätzliche Unterstützung für die Investmentstory sieht Bernstein in möglichen weiteren Aktienrückkäufen. Leslie erkennt Spielräume, um die Rückführung von Kapital an die Aktionäre auszuweiten. Dies könnte die Nachfrage nach der Aktie zusätzlich stützen und den vom Analysten erwarteten Prozess der Neubewertung am Markt beschleunigen. Die Kombination aus erhöhter Kurserwartung, unverändert positiver Einstufung und der Aussicht auf Kapitalmaßnahmen verleiht dem Siemens-Papier damit neue Dynamik.