Patent Intelligence Reports
Data-driven patent analyses based on EPO PATSTAT Global — by mtc.berlin
VEGA Grieshaber KG — Patent Portfolio & Competitor Landscape
Analysis of VEGA Grieshaber KG's patent portfolio (924 families, 2014-2024) with competitor landscape in process level, pressure, and radar measurement technology.
Autonome kommerzielle Scheuersaugmaschinen — Patentlandschaft
Patentlandschaftsanalyse autonomer kommerzieller Scheuersaugmaschinen: 6.591 Patentfamilien (2019-2024). Consumer-Marken dominieren, aber Gaussian Robotics und 3i Robotics fuehren das kommerzielle Segment.
HARTING Technologiegruppe — Patent Portfolio Analysis 2014–2024
Comprehensive analysis of HARTING's patent strategy 2014–2024 with competitor benchmarking — 694 patent families, 2,126 applications across 15 patent offices, with 73% focus on connector technology (H01R).
Verstellbare Luftleitsysteme (Spoiler) fuer Kraftfahrzeuge — Technologie-Landschaft
Patent-Landschaftsanalyse verstellbarer Aerodynamik-Systeme (aktive Spoiler, Air Dams, Diffusoren, Kuehlergrill-Klappen) fuer Kraftfahrzeuge: 1.715 Patentfamilien (2014-2024), CPC B62D37/02.
University Patent Activity in Saxony & Thuringia (2013–2024)
Patent intelligence report on the academic innovation landscape in Saxony and Thuringia: 1,881 patent families from 11 universities and their research ecosystem, including Fraunhofer, Helmholtz, Leibniz, and Max-Planck institutes.
TU Dortmund — Patent Portfolio in Transition (2013–2024)
Vergleichende Patentanalyse der Technischen Universität Dortmund: 117 Patentfamilien in zwei Epochen (2013–2018 vs. 2019–2024). Technologischer Wandel von Metallumformung zu Sensorik, Biotechnologie und Funkkommunikation.
Machine Learning Patents from Germany — Technology Landscape 2014–2024
Patent landscape analysis of machine learning technologies from German applicants. 7,732 unique patent families across neural networks, deep learning, knowledge-based AI, quantum computing and pattern recognition. Based on EPO PATSTAT Global data.
TU Dortmund — Patent Portfolio Analysis 2019-2024
Analysis of the patent portfolio of Technische Universitat Dortmund — 58 patent families, 116 applications across 8 patent offices, with strengths in measurement/sensors, telecommunications, and chemistry/biotechnology.
Rare Earth Elements — Patent Technology Landscape
Global innovation trends in REE extraction, processing, recycling and applications. 22,040 DOCDB patent families filed 2014–2024, with China accounting for 81% of all filings.
Assistive Robotics for People with Special Needs — Patent Landscape
Patent landscape analysis of assistive robotics for people with special needs: 54,000+ DOCDB patent families across 6 robotic concepts, reproducing the EPO Patent Insight Report using PATSTAT BigQuery.
TU Chemnitz — Patent Portfolio Analysis 2019-2024
Analysis of the patent portfolio of Technische Universitat Chemnitz — 56 patent families, 90 applications across 7 patent offices, with strengths in machine tools, semiconductors, and thermal processes.
B. Braun Melsungen AG — Patent Strategy Analysis 2014–2024
DOCDB family-based analysis of B. Braun's patent portfolio 2014–2024 — 907 patent families across 7 filing entities, with dramatic growth in surgical robotics, digital health, and bioreactors.
Medical Technology — Technology Leaders Europe
Top MedTech patent applicants in Europe: 54,481 patents from 47 technology leaders across 12 European countries, with cross-sector diversification analysis across all 35 WIPO technology fields.
Airbus SE — Patent Filing Strategy 2014–2024
Analysis of Airbus SE patent portfolio development 2014–2024 — ~24,000 applications across ~14,300 patent families. Geographic shifts towards EPO and China, technological transformation towards hydrogen and electrification.
KI-Diagnostik MedTech — Patentanalyse
Patentlandschaft der KI-gestützten Diagnostik in der Medizintechnik. Intersection von Artificial Intelligence und diagnostischen Verfahren an europäischen Patentämtern.
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