Technology Landscape Report
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1 Created on 2016/08/11 Technology Landscape Report Autonomous Vehicle
2 Disclaimer This document provided by Wisdomain only serves as a referential document under specific conditions agreed by the purchaser. Wisdomain does not warrant this document to be error-free, nor imply or express any other warranties. In no event shall Wisdomain be liable for any consequential damages of any kind in association with this document. The source of patent data used for the analysis is the patent authorities. Patent information used in this document for analysis is updated weekly in conjunction with patent authorities. - This document may include hyperlinks to Wisdomain s online database to appropriately reference additional information. - Hyperlinks that connect to Wisdomain s online database will expire after one year from the date of this document purchase. 2
3 Technology Landscape Report Wisdomain's Technology Landscape Report provides a bird's eye view of market players' IP concentrations across a particular technology space. With easy to read data analysis visualizations and infographics, the reader is able to capture a clear picture of IP landscape and quickly review key players technology position, identify monetization opportunities, examine freedom to operate constraints, and explore how key players IP strategies have evolved over the years. 3
4 Contents I. Patent Application Trends Last 10 Years II. III. IV. New Applicants Entering the Sector Patent Litigation by Year Top 10 Patent Application Areas V. Top 30 Applicants by Number of Applicants VI. VII. VIII. Patent Applications Top 5 Technology Areas Technology Positioning of Top 5 Companies Technology Keyword Map 4
5 Technology Sector : Autonomous Vehicle I. Patent Application Trends Last 10 Years [Fig.1] shows year on year patent filing activities within [Autonomous Vehicle] sector. The increase/decrease in patent filings over the years indicates growth/decline in R&D investments which may constitute increased/decreased market size and competition. [Fig. 1] Annual patent filings for [Autonomous Vehicle] during last 10 years Data depicted in the shaded area may be different than actual due to a time lag between patent application and publication. In this graphical presentation, Technology Sector Growth Ratio is used to measure the target sector s growth potential. TSGR greater than 1 indicates the sector has growth potential. TSGR less than 1 indicates the sector has decline potential. The higher the TSGR the greater the sector growth potential. TSGR computation is noted below. * Technology Sector Growth Ratio (TSGR) = (Number of patent filings in a specific technology sector) / (Number of total U.S. patent filings) (Number of patent filings in a specific technology sector from previous year) / (Number of total U.S. patent filings from previous year) 5
6 II. New Applicants Entering [Autonomous Vehicle] Sector [Fig.2] shows the number of new companies entering [Autonomous Vehicle] sector during the last 20 years. Each depicted number represents the total number of companies filing patents for the first time for the given sector at given year. New entrants data can help define the level of entry barriers and the intensity of sector competition. [Fig. 2] Number of Companies Entering [Autonomous Vehicle] Sector by Year Data depicted in the shaded area may be different than actual due to a time lag between patent application and publication. III. Patent Litigation by Year [Fig.3] depicts patent litigation trends by year within the [Autonomous Vehicle] sector. This historical trending information can help detect the volatility in infringement case filings and set the tone for risk assessment. [Fig. 3] Patent Litigation by Year [Autonomous Vehicle] Litigation Data Source: United States Court and USITC (United States International Trade Commission) 6
7 IV. Top 10 Application Areas in [Autonomous Vehicle] Sector [Fig. 4] shows top 10 patent application areas in [Autonomous Vehicle] sector. Primary IPC subclass is used to identify the areas. The number of patent application is based on USPTO publication data from 2005 to [Fig. 4] Top 10 Patent Application Areas in [Autonomous Vehicle] sector. [Fig. 5] shows the application filing trend for top 5 technology areas for last 10 years. Top 5 technology areas are measured in order of patent application count per area. Refer to [Fig. 4] for the description of top 5 technology areas. [Fig. 5] Patent Application by Year Data depicted in the shaded area may be different than actual due to a time lag between patent application and publication. 7
8 V. Top 30 Applicants by Number of Applications [Fig. 6] lists top 30 applicants in order of patent application count for top 5 technology areas of [Autonomous Vehicle] sector. Refer to [Fig. 4] for the description of top 5 technology areas. [Fig. 6] Top 30 Applicants by Number of Application for Top 5 Technology Areas. * This information is based on last 10 years (2006~2015) of patent applications. 8
9 VI. Patent Applications Top 5 Technology Areas [Fig. 7] shows top 5 applicants patent filing status for top 5 technology areas. Top applicants are measured in order of patent filings count per area. [Fig. 7] Number of Patent Applications by Top 5 Applicants If you've manually selected companies for this landscape analysis, then [Fig. 7] will show your selected companies only. Depicted application quantity is based on last 10 years (2006~2015) of patent applications. Technology sector code Description G05D G01C G06F G08G B60W CONTROLLING NON-ELECTRIC VARIABLES SURVEYING DIGITAL DATA PROCESSING TRAFFIC CONTROL SYSTEMS contorl system for hybrid vehicles 9
10 [Fig. 8] Patent Application Trends by Top 5 Technology Areas [G05D] CONTROLLING NON-ELECTRIC VARIABLES [G01C]SURVEYING [G06F]DIGITAL DATA PROCESSING 10
11 [Fig. 8] Patent Application Trends by Top 5 Technology Areas [G08G]TRAFFIC CONTROL SYSTEMS [B60W]contorl system for hybrid vehicles Data depicted in the shaded area may be different than actual due to a time lag between patent application and publication. 11
12 VII. Technology Positioning of Top 5 Companies The Quadrant Map [Fig. 9] compares technology positions of top 5 applicants in [Autonomous Vehicle] sector. This analysis is accomplished by plotting the granted patent count and average patent evaluation score of each applicant s portfolio on a single graph. The vertical axis represents patent quantity while the horizontal axis illustrates average patent evaluation score. By plotting the coordinates of patent quantity and score, each applicant s portfolio is visualized with an attribute to its technology position. [Fig. 9] Technology Positions of Top 5 Companies in [Autonomous Vehicle] Sector Diverse Technology group Highly Competitive group Laggards Specialized Technology group Patent quantity depicted in [Fig. 9] represents the number of granted patents within [Autonomous Vehicle] sector only. Average Patent Evaluation Score (APES): Each patent is evaluated for individual quality score and sum score is then weighted with total patent count from each technology sector to produce average patent evaluation score. Position Description Top Right Highly Competitive group High number of patents with high APES. Vigorous R&D activities with strong technology competitiveness. Top Left Diverse Technology group High number of patents but with lower APES Vigorous but diverse R&D activities Bottom Right Specialized Technology group Small number of patents but with higher APES. Specialized technologies rather than a wide variety of technologies. Bottom Left Laggards Lacks technology accumulation and recognition. Weak technology competitiveness. 12
13 VIII. Technology Keyword Map Technology Keyword Map enables readers to identify companies in a particular technology space and examine the relationships between technologies. The map also helps the reader to verify technology keywords associated with major players and discover white space or niche technology space.. Tips for reading Technology Keyword Map - The legend shows top 5 companies in different colors and shapes for easy identification on the map. - Keywords are extracted from plotted patents. - Same patent can be found under two or more keywords if that patent contains both keywords. - Patent located on the edge of the outer contour circle indicates a relationship to nearby keywords. - Patents located on the center of the inner circle (peak) is highly related to the keyword representing that contour circle. - Relevant technology keywords are plotted close to each other. - Patents that are connected by red lines are closely related to each other. - A keyword with more contour circles indicates that the keyword is used by more patents compared to another keyword with less contour circles. - Spot elevation (or peak) showing multiple companies indicates aggressive competition with vigorous patent filings. - A contour showing a solo player may indicate a niche or space domination by a specialized technology. - Areas that show similar patent allocation patterns indicate similar technology focus. - Comparison with 5-year backdated technology keyword map can help identify changes in top players IP concentration. Go to next page for: [Fig. 10] Technology Keyword Map (2011~Current) [Fig. 11] Technology Keyword Map (2006~2010) 13
14 Technology Keyword Map [Autonomous Vehicle] sector. [Fig. 10] Technology Keyword Map (2011~Current) [Fig. 11] Technology Keyword Map (2006~2010) Keyword source: Granted Patents 14
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