The ZEISS Group concluded fiscal year 2024/25 with solid growth. Revenue increased to 11.896 billion euros (prior year: 10.894 billion euros, up 9%), and earnings before interest and taxes (EBIT) reached 1.552 billion euros (prior year: 1.444 billion euros), giving an EBIT margin of 13%.
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As 2025 draws to a close, one trend has clearly defined the year: the convergence of measurement, automation, and intelligence that is transforming metrology from a verification function into a central, decision-enabling engine for modern manufacturing.
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The InnovMetric group has announced that it has reached a major corporate milestone: the sale of its 50,000th PolyWorks license. This achievement underscores the enterprise solution’s sustained growth and widespread adoption across the manufacturing industry.
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Apollo, developed by IconPro, provides intelligent maintenance software which remotely monitors machine operations, conditions and events. Integrating these capabilities into Hexagon’s existing metrology solutions will enable intelligent CMM maintenance, reducing downtime, and so improving productivity, quality and speed of production.
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Since 1925, starting as a single branch on 5th Avenue in New York City with 39 employees, ZEISS has grown to become a multi-business organization with more than 3,500 colleagues in over 30 locations across the country.
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Samsung Electro-Mechanics has made a multi-million-euro investment through Samsung Ventures in Alva Industries, a Norwegian deep-tech company pioneering ultra-compact, high-performance electric motors.
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New orders of metalworking machinery, measured by the U.S. Manufacturing Technology Orders Report published by The Association For Manufacturing Technology, totaled $538.9 million in October 2025. This was a 9% increase from September 2025 and a 40.3% increase from October 2024.
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RealSense, a pioneer in AI-powered computer vision, and AVerMedia Technologies, Inc., a leading global provider of application-ready Physical AI turnkey solutions, announced a strategic partnership to accelerate the adoption of Physical AI
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Mimic builds frontier physical AI models trained on real-world human demonstrations, using innovative methods to overcome the data scarcity problem in robotics.
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