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Technology trend analysis for Generative AI patent applications on 31st July 2025
 
Technology trend analysis for Generative AI patent applications on 31st July 2025
 
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On 31st July 2025, '''{{formatnum:180}}''' patent applications related to Generative AI were published, representing 2.5% of all patent applications for the day. This moderate level of activity shows Generative AI is gaining significant attention from innovators.
On 31st July 2025, '''{{formatnum:180}}''' patent applications related to Generative AI were published, representing 2.5% of all patent applications for the day. This moderate level of activity shows Generative AI is gaining significant attention from innovators.
== Market Analysis ==
=== Leading Organizations ===
The top organizations driving Generative AI innovation include:
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* '''[[Walmart Apollo LLC patent applications on 31st July 2025|Walmart Apollo LLC]]''': 11 applications (6.1% of Generative AI patents)
* '''[[Microsoft Technology Licensing LLC patent applications on 31st July 2025|Microsoft Technology Licensing LLC]]''': 7 applications (3.9% of Generative AI patents)
* '''[[Intuit Inc patent applications on 31st July 2025|Intuit Inc]]''': 7 applications (3.9% of Generative AI patents)
* '''[[Google LLC patent applications on 31st July 2025|Google LLC]]''': 5 applications (2.8% of Generative AI patents)
* '''[[QUALCOMM Incorporated patent applications on 31st July 2025|QUALCOMM Incorporated]]''': 5 applications (2.8% of Generative AI patents)
These 5 organizations account for 35 applications (19.4% of all Generative AI patents), indicating a diverse and competitive landscape.
== Technology Deep Dive ==
=== Core Innovation Areas ===
Patent applications in Generative AI encompass several key innovation areas:
* '''[[Generative Artificial Intelligence]]''': Core technology area
* '''[[Large Language Model]]''': Core technology area
* '''[[Llm]]''': Core technology area
* '''[[Gpt]]''': Core technology area
Emerging areas include:
* '''[[Transformer]]''': Developing technology
=== Technical Classification Analysis ===
The most active CPC classifications in Generative AI include:
* '''[[CPC G06N20/00|G06N20/00]]''' (Machine learning): 63 applications (35.0%)
* '''[[CPC G06F40/40|G06F40/40]]''' (ELECTRIC DIGITAL DATA PROCESSING  (computer systems based on specific computational models): 16 applications (8.9%)
* '''[[CPC G06N3/045|G06N3/045]]''' (Combinations of networks): 13 applications (7.2%)
* '''[[CPC G06N3/0455|G06N3/0455]]''' (Auto-encoder networks; Encoder-decoder networks): 10 applications (5.6%)
* '''[[CPC G06F40/284|G06F40/284]]''' (ELECTRIC DIGITAL DATA PROCESSING  (computer systems based on specific computational models): 9 applications (5.0%)
* '''[[CPC G06F40/30|G06F40/30]]''' (ELECTRIC DIGITAL DATA PROCESSING  (computer systems based on specific computational models): 7 applications (3.9%)
* '''[[CPC G06F18/214|G06F18/214]]''' (Generating training patterns; Bootstrap methods, e.g. bagging or boosting): 6 applications (3.3%)
* '''[[CPC G06F40/20|G06F40/20]]''' (ELECTRIC DIGITAL DATA PROCESSING  (computer systems based on specific computational models): 6 applications (3.3%)
* '''[[CPC G06N3/08|G06N3/08]]''' (Learning methods): 6 applications (3.3%)
* '''[[CPC G06N3/0475|G06N3/0475]]''' (Generative networks): 5 applications (2.8%)
== Global Innovation Landscape ==
Innovation in Generative AI spans multiple countries:
* '''[[Inventors from US|US]]''': 380 inventors (57.1%)
* '''[[Inventors from IN|IN]]''': 48 inventors (7.2%)
* '''[[Inventors from CA|CA]]''': 38 inventors (5.7%)
* '''[[Inventors from CN|CN]]''': 36 inventors (5.4%)
* '''[[Inventors from IL|IL]]''': 27 inventors (4.1%)
* '''[[Inventors from KR|KR]]''': 26 inventors (3.9%)
* '''[[Inventors from JP|JP]]''': 15 inventors (2.3%)
* '''[[Inventors from DE|DE]]''': 12 inventors (1.8%)
* '''[[Inventors from ES|ES]]''': 10 inventors (1.5%)
* '''[[Inventors from GB|GB]]''': 10 inventors (1.5%)
The US accounts for 57.1% of inventors in Generative AI, showing significant but not dominant innovation activity.
== Industry Collaborations ==
Notable collaborations in Generative AI include:
* '''[[Nordex Energy Spain Sau patent applications on 31st July 2025|Nordex Energy Spain Sau]]''' × '''[[Nordex Energy Se & Co Kg patent applications on 31st July 2025|Nordex Energy Se & Co Kg]]''': 1 joint applications
* '''[[China Electric Power Research Institute patent applications on 31st July 2025|China Electric Power Research Institute]]''' × '''[[State Grid Corp Of China patent applications on 31st July 2025|State Grid Corp Of China]]''': 1 joint applications
* '''[[China Electric Power Research Institute patent applications on 31st July 2025|China Electric Power Research Institute]]''' × '''[[Chint Electric Corp patent applications on 31st July 2025|Chint Electric Corp]]''': 1 joint applications
* '''[[State Grid Corp Of China patent applications on 31st July 2025|State Grid Corp Of China]]''' × '''[[Chint Electric Corp patent applications on 31st July 2025|Chint Electric Corp]]''': 1 joint applications
These collaborations represent 4 joint applications, indicating emerging collaboration trends in Generative AI.
== Leading Inventors ==
Key inventors driving Generative AI innovation:
* '''[[:Category:Kannan_Achan_of_Saratoga_CA_US|Kannan Achan of Saratoga CA US]]''': 5 applications
* '''[[:Category:Evren_Korpeoglu_of_San_Jose_CA_US|Evren Korpeoglu of San Jose CA US]]''': 4 applications
* '''[[:Category:Sushant_Kumar_of_San_Jose_CA_US|Sushant Kumar of San Jose CA US]]''': 4 applications
* '''[[:Category:Jianpeng_Xu_of_Cupertino_CA_US|Jianpeng Xu of Cupertino CA US]]''': 3 applications
* '''[[:Category:Khalil_Ben_Ayed_of_Vancouver_CA|Khalil Ben Ayed of Vancouver CA]]''': 3 applications
* '''[[:Category:Leo_Betthauser_of_Kirkland_WA_US|Leo Betthauser of Kirkland WA US]]''': 3 applications
* '''[[:Category:Vedant_Dharnidharka_of_Jersey_City_NJ_US|Vedant Dharnidharka of Jersey City NJ US]]''': 3 applications
* '''[[:Category:Haydn_John_Wiese_of_Fremont_CA_US|Haydn John Wiese of Fremont CA US]]''': 3 applications
* '''[[:Category:Rong_Tan_Wang_of_Santa_Clara_CA_US|Rong Tan Wang of Santa Clara CA US]]''': 3 applications
* '''[[:Category:Seunghee_Han_of_Santa_Clara_CA_US|Seunghee Han of Santa Clara CA US]]''': 3 applications
== Recent Patent Applications ==
Representative Generative AI patent applications from 31st July 2025:
=== 20250241538. ARTIFICIAL INTELLIGENCE-BASED ROBOTIC SYSTEM FOR PHYSICAL THERAPY ===
'''Applicant:''' [[Ar & Ns Investment Llc patent applications on 31st July 2025|Ar & Ns Investment Llc]]
'''Abstract:''' A robotic system for physical therapy includes a stimulus device having a modular arrangement with multiple slots to detachably attach different stimulus sub-devices. The system includes control circuitry that determines a set of test stimuli for a user based on a trained artificial intelligence (AI)-based system and applies the stimuli for a first test duration. Based on the AI output, the system generates a physical stimulation instructions pack specific to the user. The instructions pack incl...
=== 20250241717. WIRELESS ARCHITECTURES FOR SURGICAL ROBOTIC SYSTEMS ===
'''Applicant:''' [[Covidien LP patent applications on 31st July 2025|Covidien LP]]
'''Abstract:''' A surgical robotic system includes a control tower and a robotic system component. The control tower includes a tower Li-Fi transceiver configured to communicate on a first communication data channel. The robotic system component includes a robotic system component Li-Fi transceiver configured to communicate first data, and a self-aligning mechanism. The self aligning mechanism includes an imaging device configured to capture images configured to allow detection of a detected a geospatial locati...
=== 20250242420. METHOD AND SYSTEM FOR IDENTIFICATION OF KEY BLANK PART NUMBERS ===
'''Applicant:''' [[Clk Supplies Llc patent applications on 31st July 2025|Clk Supplies Llc]]
'''Abstract:''' One or more machine learning models are trained to search an image database to find images that are visually similar to images of cut keys, and a key blank identification system, which utilizes the trained machine learning models, is provided to a user. The user uploads one or more images of a cut key, the trained machine learning models identify one or more key blank part numbers that match with the cut key images, and the results are presented to the user. The user provides feedback relating t...
=== 20250242807. METHOD AND SYSTEM OF ROAD DRIVING OPTIMIZATION WITH DECOUPLING OF VEHICLE STATUS AND TRAFFIC FACTORS ===
'''Applicant:''' [[GM GLOBAL TECHNOLOGY OPERATIONS LLC patent applications on 31st July 2025|GM GLOBAL TECHNOLOGY OPERATIONS LLC]]
'''Abstract:''' A method and system of road driving optimization, having vehicle sensors configured to collect external sensor data, vehicle-state data, and communications data; a control module configured to analyze the collected data to detect a trigger event, a status of a target vehicle, an achievable speed range, and instant traction force; a decoupling estimator module configured to analyze the trigger event, the status of the target vehicle, the achievable speed range, and a personalized driver profile t...
=== 20250242836. TECHNIQUES FOR CONTROLLING VEHICLES USING PARALLELIZED MACHINE LEARNING MODELS ===
'''Applicant:''' [[NVIDIA Corporation patent applications on 31st July 2025|NVIDIA Corporation]]
'''Abstract:''' One embodiment of a method for controlling a vehicle includes receiving sensor data and information associated with the vehicle, and processing the sensor data and the information via a machine learning model in which a plurality of modules execute in parallel based on one or more cross-attention features to generate a planned motion for the vehicle.
== Market Implications ==
=== Innovation Intensity ===
With 180 applications in a single day, Generative AI demonstrates very high innovation intensity, suggesting rapid technological advancement and strong commercial interest.
=== Competitive Landscape ===
Innovation in Generative AI involves 117 organizations, indicating a highly competitive and diverse landscape with many players investing in R&D.
=== Technology Outlook ===
Emerging themes in Generative AI patents include: data, model, with, based, user, suggesting future development in these areas.
The current patent activity level suggests Generative AI is in a growth phase with increasing market adoption and investment.
== Related Technology Areas ==
Innovation in Generative AI often intersects with other emerging technologies:
* [[Medical Devices patent applications on 31st July 2025|Medical Devices]]: 448 applications
* [[Semiconductors patent applications on 31st July 2025|Semiconductors]]: 429 applications
* [[Cybersecurity patent applications on 31st July 2025|Cybersecurity]]: 289 applications
* [[Renewable Energy patent applications on 31st July 2025|Renewable Energy]]: 182 applications
* [[Environmental Tech patent applications on 31st July 2025|Environmental Tech]]: 165 applications
* [[5G Technology patent applications on 31st July 2025|5G Technology]]: 154 applications
* [[Internet of Things patent applications on 31st July 2025|Internet of Things]]: 152 applications
* [[Biotechnology patent applications on 31st July 2025|Biotechnology]]: 139 applications
== Analysis Tools ==
=== Search Resources ===
* [[Special:Search/Generative AI patents from 31st July 2025|Search all Generative AI patents from 31st July 2025]]
* [[Category:Generative AI|Browse all Generative AI patents]]
* [[Category:Generative AI Patent Applications|Browse by category]]
== See Also ==
* [[Weekly Patent Summary]]
* [[Technology Trends in Patent Applications]]
* [[Generative AI Industry Analysis]]
* [[Patent Analytics and Trends]]


[[Category:Generative AI]]
[[Category:Generative AI]]

Latest revision as of 01:41, 4 August 2025

Generative AI Patent Applications on 31st July 2025

Executive Summary

On 31st July 2025, 180 patent applications related to Generative AI were published, representing 2.5% of all patent applications for the day. This moderate level of activity shows Generative AI is gaining significant attention from innovators.

Market Analysis

Leading Organizations

The top organizations driving Generative AI innovation include:

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These 5 organizations account for 35 applications (19.4% of all Generative AI patents), indicating a diverse and competitive landscape.

Technology Deep Dive

Core Innovation Areas

Patent applications in Generative AI encompass several key innovation areas:

Emerging areas include:

Technical Classification Analysis

The most active CPC classifications in Generative AI include:

  • G06N20/00 (Machine learning): 63 applications (35.0%)
  • G06F40/40 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 16 applications (8.9%)
  • G06N3/045 (Combinations of networks): 13 applications (7.2%)
  • G06N3/0455 (Auto-encoder networks; Encoder-decoder networks): 10 applications (5.6%)
  • G06F40/284 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 9 applications (5.0%)
  • G06F40/30 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 7 applications (3.9%)
  • G06F18/214 (Generating training patterns; Bootstrap methods, e.g. bagging or boosting): 6 applications (3.3%)
  • G06F40/20 (ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models): 6 applications (3.3%)
  • G06N3/08 (Learning methods): 6 applications (3.3%)
  • G06N3/0475 (Generative networks): 5 applications (2.8%)

Global Innovation Landscape

Innovation in Generative AI spans multiple countries:

  • US: 380 inventors (57.1%)
  • IN: 48 inventors (7.2%)
  • CA: 38 inventors (5.7%)
  • CN: 36 inventors (5.4%)
  • IL: 27 inventors (4.1%)
  • KR: 26 inventors (3.9%)
  • JP: 15 inventors (2.3%)
  • DE: 12 inventors (1.8%)
  • ES: 10 inventors (1.5%)
  • GB: 10 inventors (1.5%)

The US accounts for 57.1% of inventors in Generative AI, showing significant but not dominant innovation activity.

Industry Collaborations

Notable collaborations in Generative AI include:

These collaborations represent 4 joint applications, indicating emerging collaboration trends in Generative AI.

Leading Inventors

Key inventors driving Generative AI innovation:

Recent Patent Applications

Representative Generative AI patent applications from 31st July 2025:

20250241538. ARTIFICIAL INTELLIGENCE-BASED ROBOTIC SYSTEM FOR PHYSICAL THERAPY

Applicant: Ar & Ns Investment Llc

Abstract: A robotic system for physical therapy includes a stimulus device having a modular arrangement with multiple slots to detachably attach different stimulus sub-devices. The system includes control circuitry that determines a set of test stimuli for a user based on a trained artificial intelligence (AI)-based system and applies the stimuli for a first test duration. Based on the AI output, the system generates a physical stimulation instructions pack specific to the user. The instructions pack incl...

20250241717. WIRELESS ARCHITECTURES FOR SURGICAL ROBOTIC SYSTEMS

Applicant: Covidien LP

Abstract: A surgical robotic system includes a control tower and a robotic system component. The control tower includes a tower Li-Fi transceiver configured to communicate on a first communication data channel. The robotic system component includes a robotic system component Li-Fi transceiver configured to communicate first data, and a self-aligning mechanism. The self aligning mechanism includes an imaging device configured to capture images configured to allow detection of a detected a geospatial locati...

20250242420. METHOD AND SYSTEM FOR IDENTIFICATION OF KEY BLANK PART NUMBERS

Applicant: Clk Supplies Llc

Abstract: One or more machine learning models are trained to search an image database to find images that are visually similar to images of cut keys, and a key blank identification system, which utilizes the trained machine learning models, is provided to a user. The user uploads one or more images of a cut key, the trained machine learning models identify one or more key blank part numbers that match with the cut key images, and the results are presented to the user. The user provides feedback relating t...

20250242807. METHOD AND SYSTEM OF ROAD DRIVING OPTIMIZATION WITH DECOUPLING OF VEHICLE STATUS AND TRAFFIC FACTORS

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Abstract: A method and system of road driving optimization, having vehicle sensors configured to collect external sensor data, vehicle-state data, and communications data; a control module configured to analyze the collected data to detect a trigger event, a status of a target vehicle, an achievable speed range, and instant traction force; a decoupling estimator module configured to analyze the trigger event, the status of the target vehicle, the achievable speed range, and a personalized driver profile t...

20250242836. TECHNIQUES FOR CONTROLLING VEHICLES USING PARALLELIZED MACHINE LEARNING MODELS

Applicant: NVIDIA Corporation

Abstract: One embodiment of a method for controlling a vehicle includes receiving sensor data and information associated with the vehicle, and processing the sensor data and the information via a machine learning model in which a plurality of modules execute in parallel based on one or more cross-attention features to generate a planned motion for the vehicle.

Market Implications

Innovation Intensity

With 180 applications in a single day, Generative AI demonstrates very high innovation intensity, suggesting rapid technological advancement and strong commercial interest.

Competitive Landscape

Innovation in Generative AI involves 117 organizations, indicating a highly competitive and diverse landscape with many players investing in R&D.

Technology Outlook

Emerging themes in Generative AI patents include: data, model, with, based, user, suggesting future development in these areas.

The current patent activity level suggests Generative AI is in a growth phase with increasing market adoption and investment.

Related Technology Areas

Innovation in Generative AI often intersects with other emerging technologies:

Analysis Tools

Search Resources

See Also

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