ii-pic 2017: decoding the gray shades of patent white space analysis

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MANISH SINHA CHIEF TECHNOLOGY OFFICER GRIDLOGICS [email protected] II-PIC - BENGALURU - NOV 2017 Decoding the Gray Shades of Patent White Space Analysis

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Page 1: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

M A N I S H S I N H AC H I E F T E C H N O L O G Y O F F I C E R

G R I D L O G I C S

M A N I S H @ G R I D L O G I C S . C O M

I I - P I C - B E N G A L U R U - N O V 2 0 1 7

Decoding the Gray Shades of Patent White Space Analysis

Page 2: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

About Gridlogics

▪ Founded in 2004 and having more than 12 years of experience in Intellectual Property Software Solutions

▪ Strong Focus on R&D and Rapid/Continuous product enhancements that solve greater challenges and needs of IP professionals

▪ Launched Patent iNSIGHT Pro in Jan 2006 and gained quick market acceptance to achieve more than 400 users across 100+organisations globally

▪ PatSeer Global Patent Database crossed 2200+ users in 3 years with more than 300 Professional Searchers and 800 Examiners.

▪ PatSeer Pro launched in 2016 and PatSeer 360° scheduled in 2017

Patent Professional

Patent/Scientific Information Department

Patent Analyst / Technology

Manager

Licensing Professional / IP

Manager

Page 3: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

White-spaces are gaps in a technology landscape that have potential for attaining exclusivity

Page 4: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

….No clear picture

Page 5: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

So……Is this it ?

Page 6: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Or this ?

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Total 687 79 30 130 126 134 140 64 59 31 143 48 253 53 38 53 15 22 35 19 11 77 6

Paper 76 9 5 13 15 27 16 21 8 16 25 8 23 18 11 5 2 6 7 2 4 2

Elastomers 38 7 4 9 11 12 4 4 6 1 7 4 19 3 1 2 1 5

Plastic 120 9 8 11 30 27 36 16 11 5 23 13 44 11 3 6 5 4 7 6 3 20 1

Polycarbonate 70 8 5 16 13 18 23 19 9 10 27 8 32 14 5 14 2 3 1 3 6 2

Polyimide 27 3 3 16 4 8 7 1 3 4 2 10 3 4 4 1 1 1 2

Silver 35 10 3 15 8 13 11 5 3 1 11 6 6 8 2 1 2 1 1 1

Titanium 70 15 4 10 15 14 21 8 6 3 15 7 27 11 6 11 2 3 1 1 13 1

Wax 59 10 4 3 11 6 16 3 11 1 14 6 37 3 8 2 3 2 3 1 25 1

Rubber 81 11 4 22 21 29 19 12 11 4 14 3 21 4 4 4 2 5 2 3 2

Aluminium 85 14 7 20 21 19 33 16 4 8 26 13 29 19 1 19 2 2 2 2 3 4 3

Nickel 64 9 10 13 15 9 18 7 3 1 17 1 15 13 15 1 5 1 2 6

Ceramic 152 10 5 15 33 22 59 18 14 10 35 18 91 18 14 16 4 2 9 1 38 3

ABS Plastic 35 4 2 10 6 5 16 13 5 9 18 8 17 10 1 10 1 3 2

Alkyd 7 2 1 2 1 3 4 3 4 1 2 3 2 2 1 2

Epoxy 88 8 5 43 12 18 11 5 9 3 22 5 17 4 3 7 2 2 6 1 1 3 1

Polyethylene Terephthalate 101 10 3 14 15 40 20 8 11 4 21 10 45 6 9 4 6 6 1 1 2 9 1

Polypropylene 41 5 2 5 8 17 9 2 8 1 14 1 21 3 4 2 3 3 1 4

Polyvinyl Chloride 41 5 3 7 7 18 10 4 6 2 11 5 13 3 2 3 3 2 2 1

Stainless Steel 27 7 2 3 5 3 8 3 1 1 2 2 10 1 1 1 1 6

Methacrylic 20 5 1 6 4 5 5 3 5 7 1 1 2 1 2

Carbon Fiber 29 9 2 3 5 14 6 4 3 9 2 8 9 7 2 2

Polyethylene 63 15 1 6 8 16 10 1 10 2 14 3 29 3 6 2 2 2 6 1 1 7 1

RTV Silicon 2 2 2 2

Thermoplastic 51 7 4 11 11 16 10 5 3 2 11 5 20 3 2 10 2 6 2 1 2 1

Polyamide 55 10 2 8 11 17 19 3 9 3 17 4 23 6 4 5 6 4 3 1 5 1

Phenolic 45 8 2 22 6 18 8 3 5 4 6 4 2 1 2 2 3 1

Palladium 18 3 10 3 7 5 2 1 4 3 1 3 1 1 1

Polylactic Acid 15 2 1 4 2 2 2 11 1 7 1 2

Melamine 8 1 1 3 1 3 4 2 3 2 3 2 2 1 2

Polyvinyl Acetate 19 3 2 3 4 6 3 2 7 6 2 14 3 3 1 1 3

Steel 23 7 2 3 9 5 10 1 1 7 1 5 4 3 1 4 1 2 1

Page 7: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

• Technology Landscape

• Material/Compounds/Ingredients Landscape

• Applications/Markets Landscape

• IPC/CPC Landscape

• Technology vs. Materials

• Technology vs. Markets

Where to find the Gap ?

Page 8: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Something else - Keywords ? Clusters ?

Page 9: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Are you jumping into the first haystack you see ?

Should you first focus on finding the right haystack ?

Page 10: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Finding the Right Haystack

• What are the different Market areas and what are the top challenges in the market

• What are the current products or services that address the market

• What are the company Strengths ?• What technologies are our strengths • What technologies are competitor strengths• Current Markets Future Markets

Should be a Top Down Approach…

Page 11: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

1. Cost of Equipment and Manufacturing2. Limited Choice of Materials Available3. Ensuring product Quality and Reliability

1. Surface finish2. Accuracy of parts

4. Going from basic shapes to Complex Parts 5. Limited Design Tools6. Lack of formal standards7. Difficulty in scaling up production from prototype8. Limited recyclability

Top 3D Printing Challenges

Page 12: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Problem vs. Solution Mapping

Challenge 1(Surface Finish)

Challenge 2(…)

Challenge 3(…)

Technology 1 X

Technology 2 X

Technology 3

Material 1

Material 2 X

Material 3 X X

Market 1 X

Market 2

Market 3 X

Page 13: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

3D Printing Sample Categorization

By Technologies By Materials By Applications• Ballistic Layer Manufacturing• Cladding• Computer Numerical Control

(CNC)• Contour Crafting• Digital Light Processing• Direct Laser Forming• Direct Manufacturing• Direct Metal Deposition• Direct Metal Laser Sintering• Direct Shell Production Casting• Electron Beam Melting• Electron Beam Projection

Lithography• Electrophoretic Deposition• Fused Deposition Modeling• Inkjet Deposition• Laminated Object Manufacturing• Laser Ablation• Laser Engineered Net Shaping• Laser Metal Forming• Laser Powder Forming• LaserCusing• Microfabrication• Multi-Jet Modeling• …

• ABS Plastic• Alkyd• Aluminum• Carbon Fiber• Ceramic• Clay• Elastomers• Epoxy• Fiberglass• Furan• High-density Polyethylene• Melamine• Methacrylic• Nickel• Nylon• PEEK• Palladium• Paper• Phenolic• Photopolymers• Plastic• Poly paraphenylene

terephthalamide• …

• Aerospace• Aircraft• Automobiles• Clothing• Construction• Defense• Food Industry• Furniture• Jewellery• Mechanical• Medical• PCB• Phones• Prosthesis• Robotics• Scaffolding• Shoes• Television• Tissue Engineering• Tooling• Toys• Watches

Page 14: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Categorization by Query

Application Area Search Query Results

Aerospace (FT) contains (aerospace* or aeronautic* or rocket* or spacecraft*) 93

Aircraft (FT) contains (aircraft* or aviation* or helicopter* or "fighter jet" or helicopter* or aeroplane* or airplane*)

92

Automobiles (FT) contains (automotive* or car or cars or (auto* w2 part*) or vehicle* or automobile* or motorcar* or autocar* or "steering wheel*" or pedals)

264

Clothing (FT) contains (cloth* or dress or apparel* or fabric or fabrics or shirt* or t-shirt* or garment*)

234

Construction (FT) contains ("contour craft*" or "d shape" or D-Shape or "building* print*" or roof* or Diorama or walling or flooring)

16

Technologies Search Query Results

Ballistic Particle Manufacturing

(FT) contains ((ballistic* w2 manufactur*) or BPM) 25

Cladding (FT) contains (cladding or ((roll or explosive) w2 weld*)) 53

Computer Numerical Control (CNC)

(FT) contains ((computer* w1 control*) or CNC) 270

Contour Crafting (FT) contains (contour* w3 craft*) 2

Digital Light Processing

(FT) contains ((((digital* or direct*) w2 light*) w3 process*) or DLP) 25

Page 15: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Manual Categorization

Page 16: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Matrix based Analysis over Categories

Page 17: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

X vs. Y Matrix ( Materials vs. Technology)

Page 18: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Example Gap

Polyutherane not being used in 3d printed shoes or shoe-soles ?

*Data as of April 2016

Page 19: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

May 18 2017 - If the Shoe Fits: 3D Printing and the Future of Manufacturing Footwear https://3dprint.com/174833/3d-printing-future-of-footwear/

June 6, 2017 - Prodways Introduces New 3D Printed Footwear Materials and Solutions, Collaborates with Nike https://3dprint.com/177120/prodways-3d-printed-footwear/

Page 20: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Charts for Workshops and discussions with R&D and other stakeholders

Page 21: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

• Always correlate all findings with:• Corporate strategy and strengths• Customer Trends (Today and Future)

• Every potential White-space (that meets the problem vs. Solution constraints) should be subject to a targeted patent search before any further investments in time or resources

• Some other Examples :• Mobile Technology • Digital Camera

Afterthoughts

Page 22: II-PIC 2017: Decoding the Gray Shades of Patent White Space Analysis

Thank you . Questions ?