Posts tagged ‘PatentSight’

Dec 22

The Most Innovative Tech Companies Based On Patent Analytics

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Microsoft, Apple, and IBM lead the world in hardware & software patent innovation according to PatentSight.
Samsung, Johnson & Johnson, LG Electronics. Alphabet, Qualcomm, Ford, Intel, Microsoft, Sony, and VW are the ten most innovative companies in the world, according to PatentSight’s patent analytics research.
Ford leads the global automotive industry in patent innovation, due in large part to successful R&D efforts in autonomous driving.

These and many other fascinating insights are from Swiss consulting firm EconSight’s patent analytics research that first identified all the patents that are supposed to protect particularly relevant innovations – in this case, defined as innovations for the digitization of applied technologies – using the PatentSight database. Companies not only have to maintain their innovative strength; they also have to continue to expand in comparison to previous years to take a leading position in the ranking. For additional details on the methodology and to request the rank of your company, please visit the PatentSight Innovation Ranking 2019 site here.

Key insights from EconSight’s patent analytics research defining the most innovative companies globally include the following:

38 of the most innovative companies in the world are based in the U.S, 21 in China, and 15 from Europe. Chinese followed by Japanese-based companies lead the world in electronics innovation as measured by the uniqueness of patents produced. U.S. companies lead the world in medical technology patent innovation. The following graphic compares the number of companies within the global top 100 ranking by country and industry for 2019.

In the U.S., tech companies dominate the top 10 most innovative companies in 2019. Alphabet, Qualcomm, Intel, Microsoft, Honeywell, Apple, and GE are producing the most unique, differentiated and value-adding patents based on EconSight’s methodology. Medical technology companies show the greatest growth in innovative patent production as the graphic below illustrates:

The world’s most innovative medical technology companies’ patent focus is on biosensors, surgical robotics, shortening the time-to-market for pharmaceutical drugs, and funding startup incubators that yield new patents. Johnson & Johnson’s (J&J) multifaceted innovation strategy reflects the broader strategic vision of every medical technology company pursuing new intellectual property (IP) that leads to patent leadership. J&J acquired Auris Health and Verb Surgical, which is managed as a joint venture with Alphabet’s Verily medical division, which gives them a patent portfolio in healthcare intelligence. J&J has in total acquired over 300 companies in the medical technology industry according to PatentSight’s analysis. These acquisitions have moved them into biosensors, surgical robotics, and startups performing drug research.

Japanese robotics manufacturer Fanuc is the world’s most innovative automation technology company based on patent analysis. Since 2019 Fanuc has jumped 42 places in the ranking, from 61st to 19th. The global labor shortage in manufacturing is a contributing factor to the strong market demand Fanuc is seeing for all its robotics products and systems. The following are the top 25 robotics companies of 2019:

Ford leads the global automotive industry in patent innovation, while Volkswagen doubles down on patents over the last two years. Ford leads the world in patent innovation due to its rapid advances in autonomous vehicle development. Volkswagen’s rapid ascent in the automotive industry rankings has made them the most innovative company in Germany based on patent analytics this year. VW is investing in autonomous vehicles, and the networking of mobility participants, setting a solid foundation for future vehicle models today.

PatentSight Background

PatentSight – A Lexis Nexis company– specializes in cleaning and refining patent data and providing advanced patent analytics. Publicly available patent data simply cannot be used without qualitative preparation and correction. Due to the sheer mass (about 3.3 million new registrations in 2018 alone), all available patents cannot be viewed manually. Publications in many different languages and often very abstract contents make a manual review and evaluation difficult not only for laymen but also for experts. A further challenge is to level out the widely differing citation practices of national patent offices or to document the legal status of patents.

PatentSight, through manually supervised and scientifically developed algorithms, has best-in-class information on ownership data, going far beyond the testing standards recommended by the World Intellectual Property Organization (WIPO).

Moreover, PatentSight‘s proprietary patent valuation metrics reveal which patents are key, and which are superfluous. Based on citations, global protection, and several correction factors, EconSight leveraged these metrics to determine the most innovative companies.

Jan 14

Microsoft Leads The AI Patent Race Going Into 2019

There have been over 154,000 AI patents filed worldwide since 2010 with the majority being in health fields (29.5%), Industry-specific solutions (25.3%) and AI-based digital security (15.7%).
AI-based marketing patents are the fasting growing global category, reaching a Compound Annual Growth Rate (CAGR) of 29.3% between 2010 and 2018.
The second- and third-fastest growing global AI patent categories between 2010 and 2018 are AI-based digital security (23.4% CAGR) and AI-based mobility (23% CAGR).
79,936 patents were filed in the United States between 2010 and 2018, with the majority being in the health field (32.6%) followed by Industry-specific solutions (20.5%) and AI-based digital security (18%).
Machine learning dominates the AI patent landscape today, leading all categories of AI patents including deep learning and neural networks.

These and many other insights are from an excellent presentation recently given by Kai Gramke, Managing Director of EconSight titled Artificial Intelligence As A Key Technology and Driver of Technological Progress. EconSight clients include the Swiss Federal Council, German Federal Chancellery, leading European think tanks, research institutes and half of the German DAX-30 companies. The presentation and information shared in this post were generated using the PatentSight analytics platform. PatentSight is a LexisNexis company and you can learn more about them here. The following are the key takeaways from Kai’s recent research and presentation using PatentSight:

EconSight finds that Microsoft leads the AI patent race going into 2019 with 697 world class patents that the firm classifies as having a significant competitive impact as of November 2018. Out of the top 30 companies and research institutions as defined by EconSight in their recent analysis, Microsoft has created 20% of all patents in the global group of patent-producing companies and institutions. The following graphic provides a comparison of the top 3o in the group. Please click on the graphic to expand it for easier reading.

Machine learning dominates the AI patent landscape today, leading all categories of AI patents including deep learning and neural networks. Machine learning is based on the foundational concepts of Bayesian analysis, data mining, and predictive analytics. Machine learning algorithms and the applications they rely on are designed to find patterns in large-scale data sets, while also being able to solve complex, constraint-based problems by learning from the data. Enterprise software companies including Microsoft, SAP, and others are actively developing AI technologies that integrate into their existing platforms, streamlining adoption across their many customers. Please click on the graphic to expand for easier reading.

There have been 225,833 AI-based patents filed globally since 2000, with 30.7% being Industry specific (Industry 4.0 on the graphic below) followed by health-related patents (28.1%) 13.8% of all AI-based patents are for digital security and 11.9% for energy. It’s interesting to note that the fastest growing patents between 2000 and 2018 are for applying AI to marketing (22% CAGR) and AI-based digital security (18.8% CAGR). Please click on the graphic to expand for easier reading.