Information

IDiyas is a professional recognition platform and comprehensive patent database designed to celebrate inventors and track innovation by providing reliable, real-time statistics on United States Patent and Trademark Office (USPTO) filings. They sell Lead Generation and Market Intelligence services, including access to a database of over 5.5 million inventors, as well as "Pro" memberships that offer verified inventor badges, patent alerts, and the ability to list patents for sale or licensing. What makes IDiyas assets unique is their "inventor-first" focus, which transforms raw patent data into a searchable "Social Network of Innovation" where human expertise is linked directly to intellectual property, creating a high-trust marketplace for subject matter experts and liquid IP assets.

Top 10 cities with the most similar patent research interests to New York, NY (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to New York, NY (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with New York, New York. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data).<source-footnote ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c98189393="" style="line-height: 1.15 !important;"></source-footnote> The dataset captures urban clusters with high research overlap in key technology domains such as artificial intelligence and machine learning, financial technologies (fintech), digital health, computational biology, cybersecurity, enterprise software, and urban infrastructure technologies.<source-footnote ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c98189393="" style="line-height: 1.15 !important;"></source-footnote><sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1828716479="" style="line-height: 1.15 !important;"> <source-inline-chip _ngcontent-ng-c1828716479="" _nghost-ng-c2923748904="" class="ng-star-inserted" style="line-height: 1.15 !important;"></source-inline-chip></sources-carousel-inline>Key Insights &amp; Data Points Included:<ul data-path-to-node="9" style="padding-inline-start: 32px; font-family: &quot;Google Sans Text&quot;, sans-serif !important; line-height: 1.15 !important; margin-top: 0px !important;"><li style="line-height: 1.15 !important; margin-top: 0px !important;">Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to New York, NY.</li><li style="line-height: 1.15 !important; margin-top: 0px !important;">CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between New York and each peer city.</li><li style="line-height: 1.15 !important; margin-top: 0px !important;">Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., machine learning architectures, cryptographic security, medical data processing, financial algorithms) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to New York NY (US)

Top 10 cities with the most similar patent research interests to Houston, TX (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Houston, TX (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Houston, Texas. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data).<source-footnote ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c98189393="" style="line-height: 1.15 !important;"></source-footnote> The dataset captures urban clusters with high research overlap in key technology domains such as deepwater drilling technologies, petroleum refining and petrochemical processing, carbon capture and storage (CCS), offshore engineering, medical equipment, and industrial fluid mechanics.<sources-carousel-inline ng-version="0.0.0-PLACEHOLDER" _nghost-ng-c1828716479="" style="line-height: 1.15 !important;"> <source-inline-chip _ngcontent-ng-c1828716479="" _nghost-ng-c2923748904="" class="ng-star-inserted" style="line-height: 1.15 !important;"></source-inline-chip></sources-carousel-inline>Key Insights &amp; Data Points Included:<ul data-path-to-node="9" style="padding-inline-start: 32px; font-family: &quot;Google Sans Text&quot;, sans-serif !important; line-height: 1.15 !important; margin-top: 0px !important;"><li style="line-height: 1.15 !important; margin-top: 0px !important;">Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Houston, TX.</li><li style="line-height: 1.15 !important; margin-top: 0px !important;">CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Houston and each peer city.</li><li style="line-height: 1.15 !important; margin-top: 0px !important;">Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., earth drilling, chemical reaction apparatuses, pipeline transport, medical diagnostics) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Houston TX (US)

Top 10 cities with the most similar patent research interests to Sunnyvale, CA (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Sunnyvale, CA (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Sunnyvale, California. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as network infrastructure, cloud computing, semiconductor design, enterprise software, artificial intelligence, and wireless communications.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Sunnyvale, CA.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Sunnyvale and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., data storage architectures, machine learning infrastructure, microelectronics, optical networking) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Sunnyvale CA (US)

Top 10 cities with the most similar patent research interests to San Diego, CA (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to San Diego, CA (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with San Diego, California. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as biotechnology, pharmaceutical preparations, wireless communications, genomic sequencing, semiconductor components, and medical devices.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to San Diego, CA.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between San Diego and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., therapeutic oncology, RF transceiver designs, molecular diagnostics, mobile network protocols) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to San Diego CA (US)

Top 10 cities with the most similar patent research interests to Taipei, TW, calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Taipei, TW (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Taipei, Taiwan. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as semiconductor design, microelectronics, printed circuit boards (PCBs), consumer hardware, optical devices, and computer architecture.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Taipei, TW.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Taipei and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., integrated circuit design, chip packaging, display electronics, wireless hardware) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Taipei TW

Top 10 cities with the most similar patent research interests to Yokohama, JP, calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Yokohama, JP (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Yokohama, Japan. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as automotive engineering, polymer and rubber chemistry, optical equipment, display electronics, industrial machinery, and wireless communication technology.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Yokohama, JP.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Yokohama and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., advanced materials, vehicle dynamics, precision optics, chemical processing) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Yokohama JP

Top 10 cities with the most similar patent research interests to San Francisco, CA (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to San Francisco, CA (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with San Francisco, California. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as software platforms, biotechnology, artificial intelligence, cloud infrastructure, digital health, and fintech applications.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to San Francisco, CA.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between San Francisco and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., machine learning models, gene editing, network architecture, data analytics) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to San Francisco CA (US)

Top 10 cities with the most similar patent research interests to Seoul, KR, calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Seoul, KR (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Seoul, South Korea. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as display technologies, semiconductor manufacturing, mobile telecommunications, secondary battery chemistry, consumer electronics, and digital media.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Seoul, KR.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Seoul and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., OLED displays, 5G/6G wireless networks, energy storage, microelectronics) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Seoul KR

Top 10 cities with the most similar patent research interests to Kanagawa, JP, calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to Kanagawa, JP (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Kanagawa, Japan. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key industrial sectors such as advanced robotics, semiconductor fabrication, automotive engineering, optical devices, industrial automation, and biotechnology applications.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Kanagawa, JP.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Kanagawa and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., precision machinery, microelectronics, vehicle power systems, imaging technologies) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Kanagawa JP

Top 10 cities with the most similar patent research interests to Tokyo, JP, calculated based on Cooperative Patent Classification (CPC) code distribution.

TL;DR: Ось виправлений блок даних із твоїм точним Short Description, без згадування конкретних міст у тексті опису, з 3 питаннями та тегами через кому.<h3 data-path-to-node="2">Short Description</h3>Top 10 cities with the most similar patent research interests to Tokyo, JP, calculated based on Cooperative Patent Classification (CPC) code distribution.<h3 data-path-to-node="5">Detailed Description</h3>Top 10 Cities with Similar Patent Research Interests to Tokyo, JP (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with Tokyo, Japan. Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key industrial sectors such as semiconductor technology, consumer electronics, industrial automation, robotics, display systems, and automotive engineering.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to Tokyo, JP.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between Tokyo and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., computing, optics, electric vehicles, industrial machinery) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to Tokyo JP

Top 10 cities with the most similar patent research interests to San Jose, CA (US), calculated based on Cooperative Patent Classification (CPC) code distribution.

Top 10 Cities with Similar Patent Research Interests to San Jose, CA (US) (2025)This dataset provides a statistical analysis and similarity ranking of global metropolitan innovation hubs whose patent research profiles closely align with San Jose, California (Silicon Valley). Similarity is quantitatively measured by evaluating the distribution and frequency of Cooperative Patent Classification (CPC) codes across international patent filings (including USPTO and PCT data). The dataset captures urban clusters with high research overlap in key technology domains such as artificial intelligence, semiconductor systems, cloud computing, software architectures, wireless communication, and data processing hardware.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Similarity Rankings: Metric-driven rankings of the top 10 global cities displaying the highest statistical similarity in CPC code distribution relative to San Jose, CA.</li><li>CPC Overlap Metrics: Breakdown of shared primary CPC sections, classes, and subclasses driving technological alignment between San Jose and each peer city.</li><li>Domain Distribution: Sectoral breakdown highlighting specific technical fields (e.g., machine learning, microelectronics, network security, consumer hardware) where patent activity overlaps most heavily.</li></ul>Who is this for? Ideal for patent strategy analysts, intellectual property researchers, corporate R&amp;D teams, technology transfer professionals, and economic geographers.

Cities with similar research to San Jose CA (US)

A dataset analyzing the top corporate clients and assignees represented by Harness Dickey & Pierce PLC (Harness IP) in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Harness Dickey &amp; Pierce PLC (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Harness Dickey &amp; Pierce PLC (Harness IP)—one of the premier and most active U.S. intellectual property law firms—ranked by utility patent volume prosecuted and granted in calendar year 2025. Rooted in its long-standing automotive and industrial engineering history, the firm's 2025 USPTO prosecution output shows high concentration across global consumer electronics leaders, automotive mobility suppliers, medical healthcare technologies, and advanced materials manufacturers.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major global industry leaders such as Samsung Electronics, Seiko Epson, Denso Corporation, Altria Client Services, Aptiv Technologies, Semes Co., Siemens Healthineers, NTT Corporation, Samsung Display, and GM Global Technology Operations).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technical fields including automotive systems, autonomous driving platforms, consumer electronics, display hardware, semiconductor equipment, precision medical imaging, and tobacco/vapor technologies.</li><li>Firm Portfolio Metrics: Client reliance and international distribution metrics detailing Harness IP's cross-border practice representing major multinational corporations (particularly across East Asia, Europe, and domestic U.S. auto tech hubs).</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Harness Dickey & Pierce PLC in 2025

A dataset analyzing the top corporate clients and assignees represented by Schwegman Lundberg & Woessner, P.A. in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Schwegman Lundberg &amp; Woessner, P.A. (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Schwegman Lundberg &amp; Woessner, P.A.—a top-tier IP boutique specializing in high-technology patent prosecution—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across market leaders in cloud computing, rideshare/mobility platforms, medical technology, enterprise software, and consumer electronics.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major technology platforms, enterprise software leaders, and medical device innovators such as Uber Technologies, eBay, Medtronic, and Intel Corporation).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological domains including software engineering, artificial intelligence, ride-sharing algorithms, distributed computing, medical devices, and digital networking.</li><li>Firm Portfolio Metrics: Client concentration and portfolio diversification metrics detailing Schwegman Lundberg &amp; Woessner's strategic focus on Silicon Valley tech giants and Midwest life sciences leaders.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Schegman Lundberg & Woessner in 2025

A dataset analyzing the top corporate clients and assignees represented by Kilpatrick Townsend & Stockton LLP in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Kilpatrick Townsend &amp; Stockton LLP (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Kilpatrick Townsend &amp; Stockton LLP—a global IP powerhouse and top-ranked U.S. patent law firm—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across major video communications platforms, semiconductor equipment leaders, open-source enterprise software developers, financial institutions, and wireless telecommunications networks.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including market leaders such as Zoom Video Communications, Applied Materials, Red Hat, Datang Mobile Communications, Truist Bank, DISH Wireless, Adobe, SiFive, Halliburton Energy Services, and Google/Verily).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological domains including video conferencing systems, semiconductor fabrication technology, cloud software, 5G telecommunications, financial technologies, open-source infrastructure, and RISC-V chip designs.</li><li>Firm Portfolio Metrics: Portfolio diversification metrics detailing Kilpatrick Townsend's balance between Silicon Valley software/hardware innovators, global telecom equipment providers, and major banking institutions.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Kilpatrick Townsend & Stockton LLP in 2025

A dataset analyzing the top corporate clients and assignees represented by Birch, Stewart, Kolasch & Birch, LLP (BSKB) in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Birch, Stewart, Kolasch &amp; Birch, LLP (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Birch, Stewart, Kolasch &amp; Birch, LLP (BSKB)—a prominent U.S. intellectual property law firm—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across major East Asian technology leaders, semiconductor manufacturers, steel/materials conglomerates, and electronics giants.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major global entities such as LG Energy Solution, TSMC, LG Electronics, LG Display, Mitsubishi Electric, Nippon Steel, LG Innotek, Fujifilm Corporation, Sumitomo Rubber, and Industrial Technology Research Institute).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technical fields including battery technologies, semiconductor fabrication, display panels, consumer electronics, metallurgy, advanced materials, and optical imaging.</li><li>Firm Portfolio Metrics: Client reliance and geographic concentration metrics detailing BSKB's specialized focus on representing major Asian multinationals (predominantly from South Korea, Taiwan, and Japan).</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Birch Stewart Kolasch & Birch LLP in 2025

A dataset analyzing the top corporate clients and assignees represented by Oblon, McClelland, Maier & Neustadt, L.L.P.

Top 10 Customers of Oblon, McClelland, Maier &amp; Neustadt, L.L.P. (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Oblon, McClelland, Maier &amp; Neustadt, L.L.P.—one of the top U.S. intellectual property law firms—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across major international research universities, consumer electronics manufacturers, automotive giants, and industrial conglomerates.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including leading international research institutions, imaging technology leaders, automotive manufacturers, and semiconductor innovators such as King Fahd University of Petroleum and Minerals, Canon Medical Systems, Toshiba, Kioxia Corporation, Toyota Jidosha, and CEA).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological and scientific sectors including semiconductors, automotive systems, consumer electronics, energy/chemicals, biotech, and medical devices.</li><li>Firm Portfolio Metrics: Geographic and client reliance metrics detailing Oblon's specialized representation of major international clients (particularly across East Asia, Europe, and the Middle East).</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Oblon McClelland Maier & Neustadt LLP in 2025

A dataset analyzing the top corporate clients and assignees represented by Cantor Colburn LLP in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Cantor Colburn LLP (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Cantor Colburn LLP—one of the top-ranked U.S. patent law firms—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across leading technology giants, automotive manufacturers, aerospace systems leaders, and telecommunications corporations.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major multinational technology leaders, display manufacturers, automotive innovators, and aerospace contractors such as Samsung Display, Samsung Electronics, General Motors, IBM, Hamilton Sundstrand, Carrier Corporation, and RTX Corporation).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological fields including display technologies, automotive systems, aerospace engineering, HVAC/climate solutions, microelectronics, and software.</li><li>Firm Portfolio Metrics: Client reliance and concentration metrics detailing how patent filing volume is spread among Cantor Colburn's primary domestic and international clients.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Cantor Colburn in 2025

A dataset analyzing the top corporate clients and assignees represented by Morgan Lewis & Bockius LLP in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Morgan Lewis &amp; Bockius LLP (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Morgan Lewis &amp; Bockius LLP—a global elite law firm—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across major technology conglomerates, financial institutions, telecommunications leaders, and life sciences corporations.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major technology, enterprise cloud, financial services, and telecommunications innovators such as IBM, Bank of America, Cisco Systems, Ericsson, and major biotechnology firms).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological fields including artificial intelligence, cloud infrastructure, network communications, fintech, cybersecurity, and biopharmaceuticals.</li><li>Firm Portfolio Metrics: Client reliance and concentration metrics detailing how patent filing volume is spread among Morgan Lewis &amp; Bockius's primary domestic and international clients.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Morgan Lewis & Bockius LLP in 2025

A dataset analyzing the top corporate clients and assignees represented by Foley & Lardner LLP in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Foley &amp; Lardner LLP (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Foley &amp; Lardner LLP—one of the leading U.S. patent law firms—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across major technology, financial services, automotive, semiconductor, and industrial manufacturing entities.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including major technology, banking, semiconductor, and heavy manufacturing leaders such as Capital One, Wells Fargo, TSMC, Oshkosh Corporation, Hitachi Astemo, and Kioxia Corporation).</li><li>Industry &amp; Practice Distribution: Workload concentration across core technological fields including software/business methods, energy, semiconductor fabrication, automotive systems, and advanced electronics.</li><li>Firm Portfolio Metrics: Client reliance and concentration metrics detailing how patent filing volume is spread among Foley &amp; Lardner's primary domestic and international clients.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Foley & Lardner in 2025

A dataset analyzing the top corporate clients and assignees represented by Fish & Richardson P.C. in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Fish &amp; Richardson P.C. (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients represented by Fish &amp; Richardson P.C.—a global premier IP law firm—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the firm's client portfolio distribution across market-leading tech giants, semiconductor manufacturers, software leaders, and life sciences innovators.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key corporate assignees (including global technology leaders, telecom giants, semiconductor pioneers, and cloud platforms such as Google, Microsoft, Samsung, Bank of America, and major biotechnology firms).</li><li>Industry &amp; Practice Distribution: Workload concentration across key technology domains, including artificial intelligence, cloud infrastructure, wireless networks, software systems, fintech, and medical devices.</li><li>Firm Portfolio Metrics: Client reliance and concentration metrics detailing how patent filing volume is spread among Fish &amp; Richardson's top domestic and international clients.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal market analysts, patent prosecution strategists, and corporate legal strategy teams.

Top 10 Customers of Fish & Richardson in 2025

A dataset analyzing the top corporate clients and assignees represented by intellectual property law firm Sughrue Mion, PLLC in 2025 based on total granted USPTO utility patents.

Top 10 Customers of Sughrue Mion, PLLC (2025): Client Portfolio AnalyticsThis dataset provides a ranking and breakdown of the primary corporate clients for Sughrue Mion, PLLC—a leading U.S. intellectual property law firm—ranked by utility patent volume prosecuted and granted in calendar year 2025. Based on USPTO patent prosecution data, it details the law firm's reliance on major multinational tech and manufacturing entities.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Top Client Breakdown: Patent volume distribution across key clients, dominated by major Japanese, South Korean, and global technology corporations, including Toyota Jidosha Kabushiki Kaisha (leading with nearly 1,400 patents), Samsung Electronics, Mitsubishi Electric, Nec Corporation, Tencent America, Fujifilm Corporation, and others.</li><li>Geographic &amp; Industry Focus: Heavy concentration of international corporate clients, particularly major automotive, consumer electronics, telecommunications, and industrial manufacturing conglomerates in East Asia.</li><li>Firm Portfolio Metrics: Patent prosecution density per top client, showing client reliance and distribution of workload within the firm's USPTO prosecution practice.</li></ul>Who is this for? Ideal for IP law firm partners, competitive intelligence directors, legal tech researchers, patent prosecution strategists, and law firm benchmarking analysts.

Top 10 Customers of Sugrue Mion LLC (2025)

A statistical dataset analyzing the distribution, productivity concentration, and output tiers of individual patent inventors ranked by total granted utility patents.

Distribution of Inventors by Patents: Individual Productivity &amp; Concentration AnalyticsThis dataset provides a comprehensive statistical breakdown of patent activity mapped across individual inventors. By analyzing cumulative utility patent counts per inventor, it highlights the concentration of innovation among high-yield repeat inventors ("serial inventors") versus occasional or single-patent contributors.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Inventor Output Tiers: Distribution of inventors segmented by career patent volume (e.g., single-patent inventors, mid-tier contributors with 2–10 patents, and prolific serial inventors with 50+ or 100+ patents).</li><li>Concentration Metrics: Percentage of overall utility patents generated by top inventor percentiles (e.g., top 1%, top 5%, and top 10% of global inventors).</li><li>Corporate &amp; Academic Affiliations: Correlation between highly prolific inventors and major corporate R&amp;D divisions, technology conglomerates, or research institutions.</li><li>Citation &amp; Quality Tiers: Analysis comparing citation impact, claims count, and technology subclass span between serial inventors and single-instance filers.</li></ul>Who is this for? Ideal for talent acquisition leaders in tech, IP litigation strategists, competitive intelligence directors, academic innovation researchers, and executive headhunters in R&amp;D.

Distribution of Inventors by Patents

A statistical dataset analyzing the distribution, influence concentration, and long-term technological impact of individual inventors ranked by cumulative forward citations received across their patent portfolios.

Distribution of Inventors by Forward Citations: Downstream Impact &amp; Influence ConcentrationThis dataset provides a detailed analytical breakdown of individual patent inventors mapped by the total number of forward citations their granted utility patents have received from subsequent patent filings. Because forward citations serve as a primary proxy for technological significance, foundational innovation, and commercial relevance, this metric identifies inventors whose work has shaped future industry standards and downstream technological developments.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Citation Output Tiers: Distribution of inventors segmented by cumulative forward citation bands (e.g., 0 citations, 1–10 citations, 11–50 citations, and highly cited "pioneer" inventors with 100+ or 1,000+ forward citations).</li><li>Influence Concentration: Analysis of citation skewness, demonstrating the percentage of total global forward citations concentrated within top inventor percentiles (e.g., top 1% vs. bottom 80%).</li><li>Technology Domain Spillovers: Cross-class and cross-assignee citation patterns showing how an inventor's foundational disclosures influence adjacent industries and external corporate competitors.</li><li>Impact vs. Volume Discrepancy: Comparative metrics contrasting highly productive volume-based inventors with low-volume, high-impact "breakthrough" inventors.</li></ul>Who is this for? Ideal for R&amp;D leadership, patent attorneys, technology valuation experts, corporate M&amp;A intelligence teams, and academic researchers evaluating foundational innovation trends.

Distribution of Inventors by Forward Citations

Distribution of Assignees by Patents: Corporate Portfolio AnalyticsThis dataset provides a structural breakdown of patent assignees (companies, universities, and research institutions) segmented by the total volume of granted patents held in their portfolios. It categorizes corporate and institutional entities into distinct operational tiers, measuring overall ownership distribution across the global patent landscape.Key Insights &amp; Data Points Included:<ul data-path-to-node="9"><li>Assignee Volume Tiers: Segmentation of patent owners categorized by total portfolio output (1 patent, 2-9 patents, 10-99 patents, 100-499 patents, 500-999 patents, 1,000-9,999 patents, and GE 10,000 patents).</li><li>Market Concentration Metrics: Percentage shares highlighting the ratio of single-patent entities and small corporate holders versus mega-portfolio multinational corporations.</li><li>Corporate IP Benchmarking: Baseline metrics to evaluate market entry, portfolio maturity, and dominant industry leaders across technology sectors.</li><li>Structured Analytics: Standardized data optimized for competitive intelligence, corporate strategy, M&amp;A valuation, and IP market analysis.</li></ul>Who is this for? Ideal for corporate strategy teams, patent attorneys, venture capital firms, competitive intelligence analysts, and M&amp;A legal advisors.

Distribution of Assignees by Patents

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