Rare Earth Elements
Patent Technology Landscape
Global Innovation Trends in REE Extraction, Processing, Recycling & Applications
Executive Summary
Rare earth elements (REE) are critical raw materials for permanent magnets, phosphors, catalysts, and advanced alloys used in electric vehicles, wind turbines, and electronics. This report maps the global patent landscape for REE-related technologies using a combined classification and title-based search strategy across EPO PATSTAT Global.
The landscape comprises 22,040 DOCDB patent families filed between 2014 and 2024, showing a 126% increase from 1,271 families in 2014 to 2,869 in 2023. China dominates overwhelmingly, accounting for over 80% of all filings. The top applicants are Chinese universities and state research institutes, with Jiangxi University of Science and Technology (388 families) and Baotou Iron & Steel (301 families) leading.
A significant finding is the rapid growth in REE recycling and recovery patents, which now account for 34% of the landscape. Recycling-related filings nearly tripled between 2014 (380 families) and 2022 (1,129 families), reflecting strategic concerns about supply chain security and circular economy goals. Outside China, Japanese corporations (Sumitomo Metal Mining, Toyota, Shin-Etsu) and French research institutions (CNRS, CEA) are the most active international players.
Overall Filing Activity
REE patent filings have grown steadily over the past decade. The compound annual growth rate (CAGR) from 2014 to 2023 is approximately 9.4%.
2024 data is preliminary due to the 18-month publication lag.
Key finding: The acceleration from 2019 onwards (2,046 → 2,869 families by 2023) coincides with China's strategic push to secure REE supply chains and the global EV transition driving demand for permanent magnets (NdFeB).
Geographic Distribution
China accounts for 81% of all REE patent applications, reflecting its position as both the world's largest producer and processor of rare earth elements.
| Authority | Applications | Families |
|---|---|---|
| CN (China) | 20,094 | 19,994 |
| US (United States) | 1,135 | 973 |
| WO (PCT) | 1,058 | 1,040 |
| JP (Japan) | 882 | 861 |
| EP (Europe) | 520 | 485 |
| KR (South Korea) | 390 | 380 |
| AU (Australia) | 236 | 225 |
| RU (Russia) | 172 | 172 |
| CA (Canada) | 164 | 162 |
| TW (Taiwan) | 114 | 107 |
Filing Trends by Authority (2014–2024)
China's dominance is accelerating: Chinese filings grew from 964 families in 2014 to 2,579 in 2023 (+168%), while Japan declined from 121 to 73 (-40%). PCT (WO) filings showed renewed growth in 2023 (141 families), suggesting increased internationalization of REE innovation.
Technology Sub-Areas
REE patents span a wide range of technology fields. The dominant area is metallurgy (C22B), followed by alloys (C22C), magnets (H01F), and luminescent materials (C09K).
| IPC | Technology Area | Applications |
|---|---|---|
| C22B | Production & refining of metals | 8,614 |
| C22C | Alloys | 2,824 |
| H01F | Magnets, inductances, transformers | 2,341 |
| C09K | Materials for misc. applications | 1,551 |
| B01D | Separation | 1,549 |
| C01F | Compounds of metals (incl. REE) | 1,486 |
| B01J | Catalysis, colloid chemistry | 1,389 |
| B22F | Working metallic powder | 1,389 |
| C25C | Electrolytic production & recovery | 985 |
| C02F | Water & wastewater treatment | 948 |
Technology Dynamics Over Time
The top five technology sub-areas show distinct growth patterns. Metal production (C22B) remains dominant, while alloys (C22C) and rare earth compounds (C01F) show the steepest relative growth since 2020.
Top Applicants
The top 20 applicants are exclusively Chinese entities — a mix of universities, state research institutes, and industrial corporations.
| # | Applicant | Type | Families |
|---|---|---|---|
| 1 | Jiangxi University of Science and Technology | University | 388 |
| 2 | Baotou Iron & Steel (Group) Co., Ltd. | Company | 301 |
| 3 | Central South University | University | 247 |
| 4 | Baotou Research Institute of Rare Earths | Research | 226 |
| 5 | Kunming University of Science and Technology | University | 191 |
| 6 | Northeastern University | University | 176 |
| 7 | Sumitomo Metal Mining Co., Ltd. | Company | 133 |
| 8 | Inner Mongolia Univ. of Science & Technology | University | 130 |
| 9 | China ENFI Engineering Corporation | Company | 127 |
| 10 | Jiangsu Province Metallurgical Design Institute | Company | 113 |
Top 5 Applicant Filing Trends
Baotou Iron & Steel shows the most dramatic growth, increasing from 5 families in 2017 to 83 in 2024 — reflecting Inner Mongolia's central role in China's rare earth industrialization strategy.
University dominance: Chinese universities collectively account for 25% of all REE patent families. This reflects the Chinese system where university labs are deeply integrated into national industrial R&D programs, particularly in strategic materials.
International Applicant Landscape
Outside China, the REE patent landscape is dominated by Japanese corporations and French research institutions.
| Applicant | Country | Families |
|---|---|---|
| Sumitomo Metal Mining | JP | 133 |
| Toyota Motor Corp. | JP | 75 |
| Shin-Etsu Chemical | JP | 74 |
| Hitachi Metals | JP | 51 |
| TDK Corp. | JP | 43 |
| CNRS | FR | 28 |
| Nichia Chemical | JP | 26 |
| Siemens AG | DE | 22 |
| Iowa State University | US | 22 |
| CEA | FR | 21 |
Japan's strategic focus: Japanese companies account for 7 of the top 10 international REE filers, concentrated in permanent magnets (Shin-Etsu, TDK, Hitachi Metals) and metal refining (Sumitomo). This reflects Japan's long-standing dependence on REE imports and its strategic investment in REE processing and recycling technologies.
Recycling & Recovery of Rare Earth Elements
REE recycling is a rapidly growing sub-field, driven by supply chain concerns and circular economy policies. 7,548 families (34.2%) of the REE landscape have a recycling or recovery focus.
Recycling boom: REE recycling patents nearly tripled from 380 families (2014) to 1,129 families (2022), representing a CAGR of 14.6%. This growth significantly outpaces the overall REE landscape (9.4% CAGR), confirming that recycling is the fastest-growing segment of REE innovation.
Recycling Share Over Time
| Year | Total Families | Recycling Families | Recycling % |
|---|---|---|---|
| 2014 | 1,271 | 380 | 29.9% |
| 2016 | 1,629 | 608 | 37.3% |
| 2018 | 1,888 | 605 | 32.0% |
| 2020 | 2,396 | 702 | 29.3% |
| 2022 | 2,687 | 1,129 | 42.0% |
| 2023 | 2,869 | 1,099 | 38.3% |
Collaboration Networks
Co-application analysis reveals strong collaboration patterns, particularly within China's national research ecosystem and within the French CNRS network.
| Partner 1 | Partner 2 | Co-filings |
|---|---|---|
| Baotou Research Inst. of Rare Earths | Ruike National Eng. Research Centre | 64 |
| CEA | CNRS | 43 |
| CNRS | Université de Montpellier | 35 |
| Ganjiang Innovation Research Inst. | Chinese Academy of Sciences (IPE) | 33 |
| GRIREM Advanced Materials | GRIREM Adv. Materials Technology | 32 |
| CEA | Université de Montpellier | 30 |
| China Petroleum & Chemical Corp. | Sinopec Research Inst. of Petroleum | 30 |
| Ruike National Eng. Research Centre | Santoku Corporation | 25 |
| Kyushu University | Sumitomo Metal Mining | 24 |
| China ENFI Engineering | China Nonferrous Engineering | 23 |
Notable collaboration clusters: The French research triangle (CNRS + CEA + Université de Montpellier) accounts for 108 combined co-filings, making it the most active international REE research collaboration. The Baotou cluster in Inner Mongolia (Research Institute + Ruike Centre + Santoku) represents a key China-Japan technology bridge.
Applicant Type Distribution
The distribution of applicant types reveals a landscape shaped by both industrial and academic actors.
| Sector | Families | Share |
|---|---|---|
| Company | 10,610 | 44.8% |
| University | 5,806 | 24.5% |
| Government / Non-Profit | 1,203 | 5.1% |
| Individual | 1,186 | 5.0% |
| Unknown / Unclassified | 4,852 | 20.5% |
Note: One family may have multiple applicants from different sectors.
Academic-industrial integration: Universities and research institutes together account for nearly 30% of REE patent families, unusually high for a technology landscape. This reflects the strategic importance of REE in national research programs, particularly in China where university-industry collaboration in critical materials is heavily state-supported.
Citation Analysis
Of the 22,040 REE families, 11,372 (51.6%) have received at least one citation, with an average of 1.88 citations per family.
Citation Matrix — Top Authorities (% of outgoing citations)
For each citing country (rows), the table shows what percentage of their REE citations go to each cited country (columns).
| Citing / Cited | CN | US | JP | AU | KR | EP | WO | Self% |
|---|---|---|---|---|---|---|---|---|
| CN | 88.5% | 2.5% | 2.8% | 2.2% | 0.5% | 0.5% | 0.8% | 88.5% |
| US | 21.1% | 28.1% | 5.8% | 16.6% | 1.9% | 1.6% | 3.8% | 28.1% |
| JP | 22.8% | 10.7% | 39.8% | 17.9% | 0.9% | — | 2.3% | 39.8% |
| AU | 26.8% | 8.9% | 6.8% | 31.0% | 0.6% | 2.1% | 4.2% | 31.0% |
| KR | 20.5% | 4.6% | 16.6% | 5.3% | 49.0% | — | — | 49.0% |
| WO | 52.1% | 11.1% | 10.5% | 10.5% | 4.2% | 1.6% | — | — |
| EP | 37.1% | 11.2% | 5.6% | 5.6% | 4.5% | 5.6% | — | 5.6% |
| RU | 9.6% | 3.6% | 4.8% | 4.8% | — | — | — | 49.4% |
China's citation insularity: Chinese REE patents cite other Chinese patents 88.5% of the time, the highest self-citation rate of any major authority. In contrast, US patents cite Chinese work 21% of the time, and Japanese patents cite Chinese work 23% — reflecting China's role as the primary knowledge source. Australia stands out as a gateway: it cites Chinese work heavily (27%) but also connects to US, JP, and RU innovation.
Most Cited REE Patent Families
| # | Title | Applicant | Auth. | Year | Citations |
|---|---|---|---|---|---|
| 1 | Fluorinated Rare Earth Oxide ALD Coating for Chamber Productivity | Applied Materials Inc. | US | 2018 | 229 |
| 2 | Catalytic Preform System Comprising a Rare Earth Metallocene | Michelin | FR | 2015 | 104 |
| 3 | Hydrometallurgical Process and Method for Recovering Metals | Secure Natural Resources LLC | US | 2014 | 97 |
| 4 | Alloy for R-T-B-based Rare Earth Sintered Magnet | TDK Corp. | JP | 2016 | 71 |
| 5 | Ion Assisted Deposition Top Coat of Rare-Earth Oxide | Applied Materials Inc. | KR | 2015 | 70 |
International impact: The most-cited REE families are overwhelmingly from non-Chinese applicants (Applied Materials, Michelin, TDK), despite China's dominance in filing volume. This suggests that while China leads in patent quantity, Western and Japanese inventions generate higher citation impact in the global REE innovation system.
Methodology
Combined classification and title-based search strategy, data sources, and limitations.
Data Source
EPO PATSTAT Global (Autumn 2025 Edition), accessible via Google Cloud BigQuery. All queries in standard BigQuery SQL, executable in the EPO TIP or any BigQuery client with PATSTAT access.
Search Strategy
Classification-based: IPC C22B 59/* (obtaining rare earth metals), IPC/CPC C22B 19/28-30 (REE extraction from ores), CPC C09K 11/01 (luminescent materials / rare earth phosphors). Title-based: English-language titles containing "rare earth" (case-insensitive).
Recycling Sub-Analysis
Families additionally classified under C22B 7 (secondary raw materials), Y02W 30 (waste management), Y02P 10/20 (recycling), C08J 11 (recovery), B29B 17 (plastics recovery), or H01M 10/54 (battery recycling).
Counting Methodology
Primary unit: DOCDB patent families. Each invention counted once regardless of applications filed. Applicant names use harmonized han_name field. Time window: 2014-2024 (filing year).
Citation Analysis
Cross-country citation flows derived from tls228_docdb_fam_citn (DOCDB family-level citations). Each family assigned earliest filing authority. Self-citations excluded. Percentages relative to total outgoing citations per country.
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 may be incomplete due to 18-month publication delay.
- Title-based search approximates proximity text search; some relevant patents may be missed.
- The original search strategy included proximity text queries that cannot be fully replicated in PATSTAT BigQuery.
- One family may have multiple applicants from different sectors, affecting sector distribution counts.
Acknowledgment
The original search strategy (IPC/CPC classification codes and Espacenet proximity text query for Rare Earth Elements) was kindly provided by Riccardo Priore, PhD, Centro Patlib — Ufficio Valorizzazione della Ricerca, Struttura Ricerca e Innovazione, AREA SCIENCE PARK, Padriciano 99, 34149 Trieste, Italy.
Glossary — Patent Terms Explained
- REE (Rare Earth Elements)
- A group of 17 metallic elements (15 lanthanides plus scandium and yttrium) critical for permanent magnets, phosphors, catalysts, and advanced alloys.
- Patent Family (DOCDB)
- A group of patent applications protecting the same invention across countries. Counted once to avoid double-counting.
- NdFeB
- Neodymium-iron-boron, the strongest type of permanent magnet. Key application of rare earth elements in EVs, wind turbines, and electronics.
- CPC (Cooperative Patent Classification)
- Classification system jointly maintained by EPO and USPTO. More granular than IPC, used alongside IPC as a search layer.
- C22B
- IPC class covering production and refining of metals, including rare earth extraction and metallurgy.
- CAGR
- Compound Annual Growth Rate. Measures average annual growth over a period, smoothing year-to-year fluctuations.
- han_name
- Harmonized applicant name in PATSTAT, consolidating variant spellings of the same entity.
- PCT (Patent Cooperation Treaty)
- International patent filing system administered by WIPO. PCT applications (WO) indicate intent to seek protection in multiple countries.
All SQL queries and the complete data basis are available for download.
Like what you see?
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.