Airbus SE — Patent Filing Strategy 2014–2024
Analysis of patent portfolio development across ~24,000 applications and ~14,300 patent families — geographic shifts towards EPO and China, technological transformation towards hydrogen, electrification, and digital systems.
Executive Summary
Airbus SE maintains a robust patent portfolio averaging ~2,200 applications per year. The strategy has changed significantly between 2014 and 2024: Geographically, the focus is shifting away from national offices (DPMA: -59%, INPI: -23%) towards the EPO (+20%) and especially China (+58%). Technologically, a clear transformation is visible: Hydrogen/fuel cell patents exploded from 12 (2017) to 116 (2022), electric propulsion grew fivefold. Simultaneously declining: Composite technologies (B29C: -41%) and radar electronics (G01S: -36%). The group is visibly becoming greener and more digital.
Geographic Consolidation
Filing strategy shifts from national offices to the EPO route (+20%) and China (+58%), while DPMA filings drop 59%. A single EP application now covers 39 states more efficiently.
Green Transformation
Hydrogen/fuel cell patents (H01M) grew 87% between periods, directly linked to the ZEROe programme targeting climate-neutral aircraft by 2035.
Portfolio Consolidation
Overall filings declined from ~2,700/year (2014-2016) to ~2,000/year post-2020, reflecting quality over quantity with stable family sizes of 2.5-2.8.
Completed Technology Cycles
Composite processing (B29C: -41%) and material testing (G01N: -56%) are declining — the CFRP wave of the A350 era is complete.
Overall Patent Activity Development
Annual patent applications and family counts for Airbus SE and subsidiaries, 2014–2024.
The decline from 2020 correlates with COVID-19, the aviation crisis and strategic portfolio consolidation. The recovery in 2022–2023 suggests a focus on quality over quantity — the average family size remains stable at ~2.5–2.8.
Data table: Annual Filing Activity 2014–2024
| Year | Applications | Patent Families | EP | US | CN | FR | DE |
|---|---|---|---|---|---|---|---|
| 2014 | 2,769 | 1,768 | 592 | 766 | 203 | 356 | 185 |
| 2015 | 2,648 | 1,759 | 558 | 759 | 220 | 339 | 222 |
| 2016 | 2,586 | 1,764 | 562 | 726 | 233 | 347 | 223 |
| 2017 | 2,053 | 1,427 | 329 | 611 | 192 | 334 | 184 |
| 2018 | 2,238 | 1,382 | 422 | 631 | 282 | 303 | 190 |
| 2019 | 2,591 | 1,529 | 513 | 662 | 385 | 355 | 195 |
| 2020 | 1,981 | 1,171 | 412 | 483 | 291 | 225 | 125 |
| 2021 | 1,771 | 1,144 | 528 | 451 | 183 | 237 | 49 |
| 2022 | 1,918 | 1,227 | 580 | 535 | 292 | 218 | 23 |
| 2023 | 1,979 | 1,301 | 625 | 526 | 337 | 220 | 18 |
| 2024* | 1,402 | 823 | 291 | 511 | 298 | 43 | 7 |
* 2024: Incomplete data due to ~18-month publication delay (PATSTAT Autumn 2025 Edition).
Filing Activity by Business Unit
Airbus is structured into three main divisions plus headquarters. Assignment based on applicant name variants in PATSTAT.
Airbus Operations (aircraft manufacturing) dominates with ~60% of all patents. Defence & Space is shrinking significantly (from 683 to 73 applications/year). Airbus Helicopters remains surprisingly stable at ~200–300 applications/year. Headquarters/SAS gains weight from 2021 — a sign of IP strategy consolidation.
Data table: Applications by Business Unit
| Year | Operations | Defence & Space | Helicopters | HQ/SAS |
|---|---|---|---|---|
| 2014 | 1,424 | 683 | 325 | 357 |
| 2015 | 1,455 | 490 | 343 | 422 |
| 2016 | 1,465 | 508 | 290 | 382 |
| 2017 | 1,155 | 338 | 289 | 301 |
| 2018 | 1,513 | 321 | 232 | 213 |
| 2019 | 1,797 | 342 | 216 | 276 |
| 2020 | 1,258 | 300 | 216 | 203 |
| 2021 | 991 | 321 | 215 | 258 |
| 2022 | 1,259 | 212 | 202 | 351 |
| 2023 | 1,391 | 180 | 141 | 363 |
| 2024* | 1,031 | 73 | 95 | 226 |
Geographic Filing Strategy
Distribution of patent applications by patent office, comparing 2014–2018 vs. 2019–2024 periods.
Data table: Geographic Filing Comparison
| Office | 2014–18 | 2019–24 | Change |
|---|---|---|---|
| USPTO | 3,493 | 3,168 | -9.3% |
| EPO | 2,463 | 2,949 | +19.7% |
| CNIPA | 1,130 | 1,786 | +58.1% |
| INPI | 1,679 | 1,298 | -22.7% |
| UKIPO | 527 | 688 | +30.6% |
| PCT | 633 | 581 | -8.2% |
| DPMA | 1,004 | 417 | -58.5% |
| OEPM | 346 | 194 | -43.9% |
| CIPO | 409 | 215 | -47.4% |
| JPO | 110 | 68 | -38.2% |
| IP Australia | 35 | 59 | +68.6% |
Airbus is consolidating its filing strategy: the EP route is preferred (+20%) over national offices. Instead of filing at each national office individually, a single EP application covers 39 states more efficiently. DPMA filings are dropping dramatically (-59%), as German protection is covered via EP. China is growing most strongly at +58% — Airbus is securing IP protection in aviation's most important growth market. Russian filings have ceased entirely (33 to 0).
Technology Field Analysis (WIPO 35)
Mapping to WIPO's 35 technology fields shows thematic breadth and shifts in the Airbus portfolio.
Data table: Technology Fields Comparison
| Sector | Technology Field | 2014–18 | 2019–24 | Change |
|---|---|---|---|---|
| Mech. Eng. | Transport | 7,266 | 7,184 | -1.1% |
| Mech. Eng. | Mechanical elements | 1,244 | 1,248 | +0.3% |
| Instruments | Measurement | 1,402 | 980 | -30.1% |
| Mech. Eng. | Engines, pumps, turbines | 766 | 790 | +3.1% |
| Elec. Eng. | Electrical machinery | 690 | 791 | +14.6% |
| Elec. Eng. | Computer technology | 661 | 581 | -12.1% |
| Elec. Eng. | Basic communication proc. | 49 | 77 | +57.1% |
| Chemistry | Chemical engineering | 134 | 63 | -53.0% |
| Chemistry | Macromol. chemistry | 58 | 9 | -84.5% |
Transport remains the core competence, but "Electrical machinery" (+15%) is growing — an indicator of propulsion electrification. "Basic communication processes" (+57%) points to satellite/connectivity. Drastic decline in chemistry/polymers (-85%) — the composite wave of the 2010s (CFRP fuselage for A350) is complete.
Top IPC Classes with Growth Trends
IPC main classes (4 characters) provide the most concrete technological perspective on portfolio shifts.
Data table: IPC Class Comparison
| IPC | Description | 2014–18 | 2019–24 | Change |
|---|---|---|---|---|
| B64C | Aeroplanes / Helicopters | 4,025 | 3,575 | -11.2% |
| B64D | Aircraft equipment | 3,335 | 3,757 | +12.7% |
| B64F | Ground handling / Airports | 702 | 921 | +31.2% |
| F02C | Gas turbines | 324 | 459 | +41.7% |
| F16L | Pipes / Conduits | 187 | 282 | +50.8% |
| H01M | Batteries / Fuel cells | 158 | 295 | +86.7% |
| B29C | Plastics processing | 1,103 | 653 | -40.8% |
| G05D | Control systems | 410 | 254 | -38.0% |
| G01S | Radar / Navigation | 346 | 221 | -36.1% |
| G01N | Material testing | 279 | 123 | -55.9% |
Top winner H01M (+87%): Batteries and fuel cells for aviation — directly linked to the ZEROe programme (hydrogen aircraft by 2035). Gas turbines (F02C: +42%) also indicate new engine generations. The biggest losers — B29C (composite processing: -41%) and G01N (material testing: -56%) — reflect completed technology cycles.
Grant Rates and Time-to-Grant
Grant rates and prosecution duration by patent office. Basis: Applications 2014–2021 (sufficient time for grant).
Data table: Grant Rates by Office
| Office | Applications | Granted | Rate | Avg. Years |
|---|---|---|---|---|
| USPTO | 4,966 | 4,059 | 81.7% | 2.8 |
| INPI | 2,476 | 1,908 | 77.1% | 2.8 |
| EPO | 3,876 | 2,906 | 75.0% | 3.3 |
| KIPO | 209 | 157 | 75.1% | 2.5 |
| JPO | 139 | 74 | 53.2% | 3.0 |
| CNIPA | 1,814 | 873 | 48.1% | 4.0 |
| DPMA | 1,368 | 321 | 23.5% | 3.8 |
| UKIPO | 868 | 140 | 16.1% | 3.4 |
The low grant rates at DPMA (24%) and UKIPO (16%) are systemic, not quality-related. Many applications are filed there as priority applications and then pursued via EP or PCT without seeking national grant. Korea has the fastest grant at 2.5 years, China the slowest at 4.0 years.
Future Technologies — Patent Trends
Five key technologies identified based on CPC classifications and title keywords.
Data table: Future Technology Trends
| Technology | 2014 | 2017 | 2019 | 2022 | 2023 | Trend |
|---|---|---|---|---|---|---|
| Hydrogen / Fuel Cells | 34 | 12 | 33 | 116 | 114 | Explosion |
| Electric / Hybrid Propulsion | 8 | 12 | 43 | 43 | 45 | Strong growth |
| Artificial Intelligence | 9 | 3 | 24 | 23 | 23 | Established |
| Additive Manufacturing | 38 | 53 | 56 | 37 | 30 | Past peak |
| UAV / Drones / UAM | 2 | 7 | 25 | 2 | 4 | Peak 2018/19 |
The hydrogen patents directly reflect Airbus' ZEROe programme (announced September 2020, target: climate-neutral aircraft by 2035). From 12 applications (2017) to 116 (2022) — nearly a tenfold increase. UAV/drones have passed their peak in 2018–2019, correlating with the restructuring of the drone division (CityAirbus programme transition). 3D printing has matured as a manufacturing technology and generates fewer new patents.
Collaboration Partners (Co-Applications)
Co-applications (nb_applicants > 1) reveal strategic R&D partnerships.
Data table: Top Collaboration Partners
| Partner | Type | Country | Joint Patents | Period |
|---|---|---|---|---|
| ArianeGroup SAS | Industry | FR | 30 | 2014–2023 |
| CNRS | Research | FR | 22 | 2014–2024 |
| CNES | Space Agency | FR | 21+ | 2014–2024 |
| Fraunhofer-Gesellschaft | Research | DE | 16 | 2014–2024 |
| DLR | Research | DE | 13 | 2014–2023 |
| Bombardier Inc. | Industry | CA | 11 | 2014–2017 |
| University of Surrey | University | GB | 11+ | 2014–2020 |
| Liebherr-Aerospace | Supplier | DE | 10 | 2014–2022 |
| Manufacturing Tech Centre | Research | GB | 10 | 2022–2024 |
| CEA | Research | FR | 7 | 2015–2022 |
Airbus cooperates primarily with government research institutions (CNRS, CNES, Fraunhofer, DLR, CEA) and less with industrial partners. Notable: Bombardier cooperation ends in 2017 — coinciding with the C-Series acquisition (now A220). New partner from 2022: Manufacturing Technology Centre (UK) — indicating focus on future industrial manufacturing.
Innovation Locations (Inventors by NUTS Region)
NUTS regions of inventors show where R&D activity physically takes place.
Data table: Inventor Locations
| Region | Country | Patents | Inventors | Focus |
|---|---|---|---|---|
| Hamburg (DE60) | DE | 1,547 | 1,428 | Final assembly, fuselage |
| Toulouse (FRJ2) | FR | 1,106 | 1,515 | Headquarters, design, systems |
| Upper Bavaria / Munich (DE21) | DE | 748 | 938 | Defence & Space, Helicopters |
| Madrid (ES30) | ES | 529 | 1,210 | Military, Getafe plant |
| South West England (UKK5) | GB | 480 | 662 | Wing manufacturing |
| Bristol / Gloucestershire (UKK1) | GB | 306 | 329 | Structures, landing gear |
| Swabia (DE27) | DE | 260 | 302 | Helicopters (Donauwoerth) |
| Midi-Pyrenees (FR62) | FR | 259 | 431 | Toulouse supplier cluster |
| Provence / PACA (FR82) | FR | 249 | 300 | Helicopters (Marignane) |
| Ile-de-France (FR10) | FR | 190 | 279 | Headquarters, Elancourt (D&S) |
| Bremen (DE50) | DE | 65 | 81 | Space (ArianeGroup) |
Hamburg (1,547 patents) surpasses Toulouse (1,106) in patent count — despite Toulouse being the global HQ. This is explained by the stronger German patent culture and DPMA priority filing practice. Toulouse, however, has more inventors (1,515 vs. 1,428), suggesting a broader R&D team. Madrid shows a striking ratio: 529 patents but 1,210 inventors — many inventors per patent, typical for large co-inventor teams.
Methodology
Data sources, applicant identification, and known limitations.
Data Source
EPO PATSTAT Global, Autumn 2025 Edition, accessed via Google Cloud BigQuery (project: patstat-mtc, dataset: patstat). Analysis date: February 2026.
Applicant Identification
Airbus was identified via name variants in tls206_person (person_name LIKE '%airbus%' plus historical names: Eurocopter, Astrium, Cassidian, EADS). Over 50 name variants consolidated. Applicants only (applt_seq_nr > 0), not inventors.
Counting Methodology
Primary counting unit: DOCDB patent families (docdb_family_id) to avoid double-counting. For geographic analysis, individual applications (appln_id) per office are counted. Year = filing year (appln_filing_year), not publication year.
Stack
PATSTAT BigQuery + patstat-mcp (custom MCP server) + Claude AI for analysis and visualization. All SQL queries are included and reproducible.
Scope Limitations
- 2024 data is incomplete due to the ~18-month publication delay (PATSTAT Autumn 2025 Edition).
- Grant rates for applications from 2022 onwards are not meaningful due to ongoing examination.
- Name matching may not capture all subsidiaries (e.g. Testia, Premium AEROTEC, Stelia — now integrated into Airbus).
- PATSTAT's
han_nameharmonization may merge or split entities incorrectly in edge cases. - Business unit assignment is based on applicant name patterns and may not reflect internal organizational changes precisely.
Glossary — Patent Terms Explained
- Patent Family (DOCDB)
- A group of patent applications that protect the same invention across different countries. Counted once to avoid double-counting.
- EP / WO / DE / US / CN / FR
- Patent office codes: EP = European Patent Office, WO = International (PCT), DE = Germany (DPMA), US = United States, CN = China (CNIPA), FR = France (INPI).
- IPC (International Patent Classification)
- A hierarchical system for classifying patents by technology area, maintained by WIPO. Used for technology field analysis.
- CPC (Cooperative Patent Classification)
- A classification system jointly maintained by EPO and USPTO, more granular than IPC.
- WIPO Technology Fields
- A mapping of IPC codes to 35 technology fields defined by WIPO, used for high-level technology area analysis.
- NUTS Region
- Nomenclature of Territorial Units for Statistics — EU standard for geographic classification. Used to identify inventor locations.
- Grant Rate
- Percentage of patent applications that are ultimately granted. Rates for recent years appear low because examination takes 3–5 years.
- Co-Application
- A patent application with more than one applicant. Indicates collaboration between organizations or joint ownership of the invention.
- ZEROe
- Airbus programme announced September 2020, targeting climate-neutral commercial aircraft powered by hydrogen by 2035.
All SQL queries and the complete data basis are available for download.
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This report was built with a fully reproducible pipeline: EPO PATSTAT Global on BigQuery, a custom MCP server, and Claude AI for analysis and visualization. Everything is open and auditable — the SQL queries are included.