University Patent Activity in Saxony & Thuringia
Mapping the academic innovation landscape through 1,881 patent families across 11 universities — from measurement technology and materials science to optics and biotechnology.
University Ranking by Patent Families
All patent families (any filing authority) where the university appears as applicant, 2013–2024.
Data table: University Ranking
| University | State | Families | Apps | EP | DE | WO | Co-filed |
|---|---|---|---|---|---|---|---|
| TU Dresden | SN | 986 | 1,779 | 277 | 803 | 323 | 389 |
| Friedrich-Schiller-Uni Jena | TH | 205 | 471 | 84 | 143 | 134 | 134 |
| TU Ilmenau | TH | 196 | 319 | 58 | 151 | 48 | 77 |
| TU Bergakademie Freiberg | SN | 187 | 322 | 39 | 143 | 76 | 38 |
| TU Chemnitz | SN | 109 | 157 | 29 | 83 | 25 | 28 |
| Universitat Leipzig | SN | 80 | 161 | 33 | 30 | 47 | 34 |
| Universitatsklinikum Jena | TH | 57 | 129 | 36 | 17 | 35 | 30 |
| HTW Dresden | SN | 37 | 58 | 11 | 33 | 12 | 7 |
| Bauhaus-Uni Weimar | TH | 22 | 32 | 4 | 16 | 9 | 10 |
| Ernst-Abbe-HS Jena | TH | 18 | 22 | 9 | 9 | 3 | 9 |
| HS Zwickau | SN | 16 | 22 | 7 | 11 | 1 | 8 |
TU Dresden accounts for 52% of all university patent families in the region (986 of 1,881). The second tier — FSU Jena (205), TU Ilmenau (196), and TU Bergakademie Freiberg (187) — are comparable in volume. Together, the Jena cluster (FSU Jena + TU Ilmenau + Universitatsklinikum Jena + Ernst-Abbe-HS Jena) accounts for 476 families, forming the second regional hub.
Filing strategies differ notably. FSU Jena shows a high co-filing rate (65%, 134 of 205 families) and the highest PCT rate (65%, 134 families with WO). TU Bergakademie Freiberg has a notably low co-filing rate (20%, 38 of 187), suggesting more independent patent activity. TU Dresden files heavily at DPMA (803 of 986 families have a DE filing, 81%).
Annual Filing Trends
Patent families by filing year for the top 5 universities plus aggregated smaller institutions.
* 2023/2024: Data incomplete due to ~18-month publication delay (PATSTAT Autumn 2025 Edition).
Data table: Annual Filing Trends
| Year | TU Dresden | FSU Jena | TU Ilmenau | TU BA Freiberg | TU Chemnitz | Other |
|---|---|---|---|---|---|---|
| 2013 | 129 | 30 | 32 | 26 | 14 | 24 |
| 2014 | 147 | 29 | 23 | 23 | 18 | 31 |
| 2015 | 136 | 32 | 26 | 24 | 19 | 43 |
| 2016 | 122 | 40 | 27 | 31 | 15 | 34 |
| 2017 | 107 | 35 | 30 | 26 | 8 | 27 |
| 2018 | 92 | 34 | 21 | 16 | 14 | 27 |
| 2019 | 118 | 27 | 19 | 19 | 15 | 26 |
| 2020 | 117 | 20 | 18 | 21 | 6 | 26 |
| 2021 | 105 | 20 | 10 | 27 | 4 | 23 |
| 2022 | 120 | 9 | 17 | 12 | 6 | 9 |
| 2023* | 95 | 12 | 14 | 14 | 3 | 15 |
| 2024* | 36 | 10 | 2 | 1 | 4 | 11 |
TU Dresden peaked in 2014 with 147 families and declined to a low of 92 in 2018 before recovering to 105–120 in 2019–2022. FSU Jena peaked in 2016 (40 families), followed by a gradual decline to 9–12 families from 2022 onward. TU Ilmenau shows a similar pattern: 30–32 families in 2013/2017, declining to 10–19 in more recent years. The region-wide decline from 2022 onward is partly an artifact of PATSTAT's publication delay.
Regional Context: Saxony vs. Thuringia
Total EP patent families with inventors geocoded to each state (all applicant types), 2013–2024.
Sector counts based on EP applications only (NUTS geocoding requires EP filings). Families may appear in multiple sectors if co-filed.
Universities contribute 7% of EP patent families in Saxony (500 of ~7,200) and 5% in Thuringia (228 of ~4,300). Research institutes account for 10% and 8% respectively. Combined, the academic and research sector produces 17% (Saxony) and 13% (Thuringia) of regional EP filings. Saxony produces ~650–700 EP families annually (2013–2022) and Thuringia ~370–440, with Saxony consistently producing 1.6–1.8x the volume of Thuringia.
Technology Profile
WIPO technology fields across all university patent families (non-exclusive: one family may span multiple fields).
Families can be assigned to multiple technology fields. Totals exceed 1,881 due to multi-assignment.
Data table: Technology Profile
| WIPO Technology Field | Families |
|---|---|
| Measurement | 360 |
| Other special machines | 217 |
| Electrical machinery | 196 |
| Materials, metallurgy | 195 |
| Medical technology | 155 |
| Biotechnology | 154 |
| Optics | 144 |
| Machine tools | 133 |
| Semiconductors | 116 |
| Chemical engineering | 112 |
| Computer technology | 107 |
| Pharmaceuticals | 101 |
| Surface technology | 96 |
| Biological materials | 89 |
| Transport | 84 |
Measurement technology leads with 360 families, driven by TU Dresden (174), TU Ilmenau (68), and FSU Jena (53). Materials and metallurgy (195 families) is concentrated at TU Bergakademie Freiberg (93, nearly half). Optics (144 families) centers on FSU Jena (75 families, 52%), consistent with Jena's long-standing photonics tradition.
Technology Specialization by University
Top 3 WIPO technology fields per university (families, non-exclusive).
Data table: Technology Specialization by University
| University | Top 1 | # | Top 2 | # | Top 3 | # |
|---|---|---|---|---|---|---|
| TU Dresden | Measurement | 174 | Special machines | 135 | Elec. machinery | 117 |
| TU BA Freiberg | Materials/metallurgy | 93 | Chemical eng. | 28 | Surface tech. | 22 |
| FSU Jena | Optics | 75 | Measurement | 53 | Elec. machinery | 28 |
| TU Ilmenau | Measurement | 68 | Elec. machinery | 22 | Computer tech. | 21 |
| TU Chemnitz | Machine tools | 31 | Special machines | 19 | Mech. elements | 14 |
| Uni Leipzig | Biotechnology | 31 | Pharmaceuticals | 18 | Measurement | 17 |
Each university has a distinct technology fingerprint. TU Dresden is the broadest portfolio, spanning measurement, special machines, and electrical machinery. TU Bergakademie Freiberg is sharply focused on materials/metallurgy (93 of 187 families, 50%). FSU Jena centers on optics (75 families) and measurement (53). TU Chemnitz specializes in machine tools (31 families, 28% of its portfolio). Uni Leipzig is the only university with a life-sciences focus (biotechnology + pharmaceuticals).
Collaboration Network
Top co-applicant partners across all universities, by joint patent families.
Data table: Top Collaboration Partnerships
| University | Partner | Type | Joint Families |
|---|---|---|---|
| TU Dresden | Fraunhofer-Gesellschaft | Research | 113 |
| FSU Jena | Fraunhofer-Gesellschaft | Research | 68 |
| TU Ilmenau | Fraunhofer-Gesellschaft | Research | 30 |
| TU Dresden | Siemens AG | Industry | 22 |
| FSU Jena | Leibniz IPHT Jena | Research | 23 |
| TU Dresden | Helmholtz-Zentrum Dresden-Rossendorf | Research | 14 |
| TU Chemnitz | Fraunhofer-Gesellschaft | Research | 13 |
| TU BA Freiberg | Fraunhofer-Gesellschaft | Research | 9 |
| TU Dresden | Leichtbau-Zentrum Sachsen | Industry | 9 |
| TU Dresden | Leibniz IPF Dresden | Research | 8 |
| TU Dresden | Audi AG | Industry | 7 |
| TU Dresden | ThyssenKrupp Steel Europe | Industry | 7 |
| FSU Jena | JenaBatteries GmbH | Industry | 6 |
| TU BA Freiberg | 2MH Glas GmbH | Industry | 6 |
| FSU Jena | GSI Helmholtzzentrum | Research | 6 |
| UKJ Jena | Leibniz IPHT Jena | Research | 6 |
Fraunhofer-Gesellschaft is the dominant collaboration partner, co-filing with 8 of 11 universities for a total of 237+ joint families. TU Dresden alone has 113 joint families with Fraunhofer. Industry partnerships are strongest at TU Dresden — Siemens (22), Leichtbau-Zentrum Sachsen (9), Audi (7), ThyssenKrupp (7), and Bosch (4). FSU Jena's second-largest partner is the Leibniz IPHT (23 families), reflecting the Jena photonics cluster.
Research Institute Ecosystem
Patent families from major research organizations with inventors in Saxony or Thuringia.
Data table: Research Institutes
| Institute | Location | Families | Apps | EP | DE | WO |
|---|---|---|---|---|---|---|
| Fraunhofer-Gesellschaft | SN | 466 | 2,029 | 466 | 336 | 337 |
| Fraunhofer-Gesellschaft | TH | 266 | 1,492 | 266 | 184 | 221 |
| Helmholtz-Zentrum Dresden-Rossendorf | SN | 141 | 306 | 51 | 115 | 78 |
| Leibniz IPF Dresden | SN | 92 | 226 | 46 | 75 | 35 |
| Leibniz IFW Dresden | SN | 73 | 120 | 19 | 57 | 25 |
| Leibniz IPHT Jena | TH | 71 | 141 | 31 | 49 | 38 |
| Max-Planck-Gesellschaft | SN | 61 | 309 | 61 | 4 | 51 |
| UFZ Leipzig (Helmholtz) | SN | 41 | 79 | 22 | 18 | 19 |
| Leibniz IOM Leipzig | SN | 27 | 46 | 11 | 24 | 6 |
| Max-Planck-Gesellschaft | TH | 17 | 94 | 17 | 1 | 14 |
Fraunhofer and Max-Planck file under their central organization name. Regional attribution is based on inventor NUTS codes on EP applications. Families may overlap between states.
Fraunhofer is the largest patent producer in both states — 466 families attributable to Saxony and 266 to Thuringia. Max-Planck shows a strongly international strategy: 84% of Saxon families have PCT applications, and almost none file at the DPMA (4 of 61). The Leibniz institutes collectively contribute 263 families across four distinct research niches: polymers (IPF, 92), solid-state physics (IFW, 73), photonics (IPHT, 71), and surface modification (IOM, 27).
Filing Jurisdiction Strategy
Patent offices targeted by the top 7 universities (families with filings at each authority).
Data table: Filing Jurisdictions
| University | DE | EP | WO | US | Other |
|---|---|---|---|---|---|
| TU Dresden | 803 | 277 | 323 | 169 | 60 |
| FSU Jena | 143 | 84 | 134 | 71 | 20 |
| TU Ilmenau | 151 | 58 | 48 | 28 | 18 |
| TU BA Freiberg | 143 | 39 | 76 | 12 | 38 |
| TU Chemnitz | 83 | 29 | 25 | 11 | 4 |
| Uni Leipzig | 30 | 33 | 47 | 23 | 7 |
| UKJ Jena | 17 | 36 | 35 | 13 | 14 |
Filing strategies reveal different internationalization levels. FSU Jena leads with a 65% PCT rate and notable US coverage (71 families). Universitat Leipzig also files broadly (59% PCT, US 23 families) despite its smaller portfolio. TU Bergakademie Freiberg shows an unusual pattern with Luxembourg (10) and Taiwan (10) filings, likely tied to specific industrial partners. TU Ilmenau and TU Chemnitz file primarily at DPMA with moderate EPO/PCT use.
Grant Rates
Application-level grant rates for the 2013–2021 cohort (allowing 3+ years examination time).
Grant rates based on the 2013–2021 filing cohort only. Later years excluded because examination pendency (typically 3–5 years at EPO) makes rates artificially low.
Data table: Grant Rates
| University | Grant Rate |
|---|---|
| TU Ilmenau | 46.0% |
| TU Dresden | 43.5% |
| TU BA Freiberg | 42.5% |
| TU Chemnitz | 39.1% |
| FSU Jena | 32.1% |
| Uni Leipzig | 29.3% |
| UKJ Jena | 27.4% |
TU Ilmenau achieves the highest grant rate at 46.0% (127 of 276 applications from 2013–2021 granted). TU Dresden follows at 43.5% (643 of 1,479) and TU Bergakademie Freiberg at 42.5%. Universitatsklinikum Jena has the lowest rate (27.4%), partly reflecting its focus on biotechnology and pharmaceuticals where examination tends to be longer and more complex.
Top Inventors
Most prolific named inventors across regional university patent families (2013–2024).
Data table: Top 15 Inventors
| # | Inventor | University | Families |
|---|---|---|---|
| 1 | Chokri Cherif | TU Dresden | 48 |
| 2 | Jens Limpert | FSU Jena | 36 |
| 3 | Werner Hufenbach | TU Dresden | 32 |
| 4 | Karl Leo | TU Dresden | 31 |
| 5 | Ullrich Hesse | TU Dresden | 27 |
| 6 | Stefan Kaskel | TU Dresden | 26 |
| 7 | Manfred Curbach | TU Dresden | 21 |
| 8 | Hans Kleemann | TU Dresden | 21 |
| 9 | Maik Gude | TU Dresden | 19 |
| 10 | Dirk Plettemeier | TU Dresden | 18 |
| 11 | Martin Tajmar | TU Dresden | 18 |
| 12 | Bernd Meyer | TU BA Freiberg | 18 |
| 13 | Christos Aneziris | TU BA Freiberg | 18 |
| 14 | Ulrich S. Schubert | FSU Jena | 17 |
| 15 | Martin Bertau | TU BA Freiberg | 15 |
Inventor names from PATSTAT may include minor spelling variants. Jens Limpert appears under two name variants (20 + 16), consolidated here. Counts reflect distinct families per inventor.
Chokri Cherif (TU Dresden) is the most prolific inventor with 48 patent families, reflecting his leadership of the Institute of Textile Machinery. Jens Limpert (FSU Jena, 36 families) is a leading researcher in high-power fiber lasers. Karl Leo (31 families) is known for organic electronics/OLED research. TU Bergakademie Freiberg's top inventors — Bernd Meyer (18), Christos Aneziris (18), and Martin Bertau (15) — work in materials science and chemical engineering.
Citation Impact
Forward citations received by university patent families filed 2013–2024.
Data table: Citation Impact
| University | Cited Families | Total Citations | Avg per Family | Max |
|---|---|---|---|---|
| TU Dresden | 553 | 4,079 | 7.4 | 128 |
| FSU Jena | 129 | 1,085 | 8.4 | 133 |
| TU Ilmenau | 120 | 903 | 7.5 | 101 |
| Universitat Leipzig | 44 | 686 | 15.6 | 93 |
| TU Chemnitz | 61 | 544 | 8.9 | 132 |
| TU Bergakademie Freiberg | 107 | 490 | 4.6 | 38 |
| Universitatsklinikum Jena | 36 | 310 | 8.6 | 41 |
| HTW Dresden | 21 | 205 | 9.8 | 106 |
Universitat Leipzig stands out with 15.6 average citations per cited family — reflecting a concentration of high-impact biotech and pharmaceutical patents. TU Chemnitz (8.9 avg) and HTW Dresden (9.8 avg) also show above-average citation intensity despite smaller portfolios. TU Bergakademie Freiberg has the lowest average (4.6) but the most consistent pattern — 107 of 187 families received at least one citation, with a maximum of 38. Citation data for 2022–2024 filings is naturally incomplete.
Geographic Hotspots
All EP patent families (any applicant type) by inventor NUTS3 district, 2013–2024.
NUTS3 geocoding based on EP applications only. Covers all applicant types (industry, research, and universities).
Data table: Geographic Hotspots
| District | State | EP Families |
|---|---|---|
| Dresden | SN | 2,966 |
| Jena | TH | 1,312 |
| Leipzig | SN | 951 |
| Chemnitz | SN | 663 |
| Erzgebirgskreis | SN | 595 |
| Meissen | SN | 595 |
| Sachs. Schweiz | SN | 534 |
| Erfurt | TH | 478 |
| Zwickau | SN | 461 |
| Bautzen | SN | 445 |
| Vogtlandkreis | SN | 437 |
| Nordsachsen | SN | 362 |
| Weimar | TH | 308 |
| Schmalkalden-Mein. | TH | 303 |
| Mittelsachsen | SN | 271 |
Dresden is the undisputed innovation hub with 2,966 EP patent families — 2.3x the volume of Jena (1,312) and 3.1x that of Leipzig (951). The industrial belt around Chemnitz (663), the Erzgebirgskreis (595), and Meissen (595) forms a secondary patent cluster. In Thuringia, Jena concentrates 30% of all patent activity; Erfurt (478) and Weimar (308) are secondary centers.
Methodology
Search strategy, data sources, and known limitations.
Search Strategy
This report uses a two-step regional identification approach:
- EP applications + NUTS geocoding: All EP patent applications (2013–2024) where at least one inventor is geocoded to Saxony (NUTS1: DED) or Thuringia (NUTS1: DEG).
- Entity identification: Universities and research institutes were identified by keyword matching on
han_nameandperson_name. - Full family retrieval: For each identified institution, all patent families were retrieved (any filing authority) using their harmonized applicant name.
Family Counting
All counts use DOCDB patent families (docdb_family_id) to avoid double-counting the same invention
across jurisdictions. One DOCDB family = one invention.
Data Source
EPO PATSTAT Global, Autumn 2025 Edition, accessed via Google Cloud BigQuery (project: patstat-mtc, dataset: patstat). Analysis date: February 2026.
Multi-Assignment
Patent families can be assigned to multiple WIPO technology fields. Charts showing technology distribution are non-exclusive — totals across categories will exceed the total family count.
Scope Limitations
- Utility models and designs are excluded (patent applications only,
ipr_type = 'PI'). - Applications filed before 2013 are not included.
- Universities without EP filings in 2013–2024 cannot be detected via NUTS geocoding.
- Fraunhofer and Max-Planck file under their central organization name — attribution to specific institutes is not possible from applicant data.
- PATSTAT's
han_nameharmonization occasionally merges distinct entities or splits one entity into multiple names. Two additional name variants contribute 6 additional families not counted in the main analysis (<0.4% impact). - 2023–2024 data is incomplete due to the ~18-month publication delay in PATSTAT Autumn 2025.
Data Freshness
PATSTAT Autumn 2025 Edition. Publication delay (~18 months) means 2023 data is partially incomplete and 2024 data is minimal. Trends involving 2023–2024 should be interpreted with caution.
Stack
PATSTAT BigQuery + patstat-mcp (custom MCP server) + Claude AI for analysis and visualization. All SQL queries are included and reproducible.
Glossary — Patent Terms Explained
- Patent Family (DOCDB)
- A group of patent applications protecting the same invention across countries. Counted once to avoid double-counting.
- EP / WO / DE / US
- Patent office codes: EP = European Patent Office, WO = International (PCT), DE = Germany (DPMA), US = United States.
- NUTS
- EU geographic classification. NUTS1 = federal states (DED = Saxony, DEG = Thuringia), NUTS3 = districts/cities.
- PCT (Patent Cooperation Treaty)
- An international filing route (WO application) allowing protection in multiple countries through a single application.
- han_name
- PATSTAT's harmonized applicant name — normalizes spelling and legal form variants of the same entity.
- Grant Rate
- Percentage of applications ultimately granted. Rates for recent years appear low because examination takes 3–5 years.
- Co-Filing Rate
- Share of families with more than one applicant, indicating collaboration with external partners.
All SQL queries and the complete data basis are available for download.
Gefällt Ihnen, was Sie sehen?
Dieser Report wurde mit einer vollständig reproduzierbaren Pipeline erstellt: EPO PATSTAT Global auf BigQuery, ein eigener MCP-Server und Claude AI für Analyse und Visualisierung. Alles ist offen und nachvollziehbar — die SQL-Queries sind enthalten.