What Did The Patent Landscape of Google Look Like?   

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 Google’s Profile

Google is a multinational technology company that specializes in Internet-related services and products. It was established in September 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University in California. Since its inception,

Google has become one of the world’s most well-known and valuable companies, offering various services such as search engines, online advertising technologies, cloud computing, software, and hardware products. With its headquarters in Mountain View, California, United States, Google has grown to become a global leader in innovation and technology, impacting how people interact with information and each other.  

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 Quantifying Google’s Patents

As of the end of 2023, Google patent portfolio is impressive, featuring 24144 patent families globally. These include some of the most notable Google inventions, with 17572 patent families are still alive and 6572 no longer active. This reflects Google‘s status as a significant player in the tech industry, with a substantial presence in various Google countries list 2023, demonstrating its global reach and influence. 

Have a look at some of the most well-known patents held by Google that we have covered in this article. You can also get information on Google’s patents, the global patent filing activity country-wise, its historical patent filing trends, and many more statistics regarding Google’s patent portfolio.  

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How Many Patents Google Have?

What Did The Patent Landscape of Google Look Like?

This Pie Chart Shows the number of active, pending and dead patents.

Google have 13572 alive and 6572 dead patent families.

How Many Patents Did Google File Every Year?

What Did The Patent Landscape of Google Look Like?

How Many Google Patents File in Different Countries? 

Google patents are filed in numerous countries, reflecting its international presence and the strategic importance of protecting its inventions across the globe. The Google countries list 2023 includes major markets where Google operates and maintains its technological leadership. 

IPC Classification Wise Patent Trends by Technology Domain

What Did The Patent Landscape of Google Look Like?

IPC Classification 


Digital computing or data processing equipment or methods, specially adapted for specific functions  


Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements  


Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/00-H04L27/00  


Commerce, e.g. shopping or e-commerce  


Digital computers in general; Data processing equipment in general  


Arrangements for program control, e.g. control units  


Data switching networks  


Information retrieval; Database structures therefor; File system structures therefor  


Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity  


Computer systems based on biological models  


Google patents are diverse, covering a range of IPC classifications from Digital computing or data processing equipment or methods (G06F17) to Computer systems based on biological models  G06N3). Google stats reveal that the company not only focuses on current technological needs but also paves the way for future advancements.

Emerging Trends in Google Technologies: A Comparative View


G06F3 (Structural Arrangements) 

G06F16 (Error Detection & Correction) 

G06N3 (Artificial Intelligence) 

Focus of Innovation 

Hardware optimization, resource management, distributed computing 

Advanced algorithms for data integrity & reliability, ML/quantum error correction 

Machine learning, deep learning, computer vision, natural language processing 

Key Technological Advancements 

Hardware acceleration (GPUs, FPGAs) for AI, blockchain, Machine learning-powered error correction, Virtualization & containerization (Kubernetes), Quantum error correction methods, Edge computing for real-time applications, Advanced coding theory for data transmission/storage,  Heterogeneous computing architectures,  Fault-tolerant system design 

Error correcting codes for various channels, Interleaving and de-interleaving techniques, Automatic repeat request (ARQ), Forward error correction (FEC), Channel coding,  Quantum error correction codes 

Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, Generative Adversarial Networks (GANs), Reinforcement Learning 

Top Patent Filing Subcategories (Estimated) 

Hardware acceleration for AI/blockchain, Machine learning-based error correction algorithms, Resource management in virtualized environments, Quantum error correction & related technologies, Edge computing solutions & security, Advanced coding theory for specific applications 

Error correction codes for specific applications, Channel coding techniques, Quantum error correction and related technologies, Advanced modulation and demodulation techniques ,  Network coding for improved reliability 

Deep learning architectures and algorithms, Natural language processing techniques , Computer vision algorithms, Reinforcement learning methods  

Impact on Industries 

Cloud computing, data centers, AI/ML applications, high-performance computing 

Data storage & transmission, telecommunications, quantum computing, blockchain 

Self-driving cars, medical diagnosis, robotics, finance, customer service 

Projected Future Trends 

Continued focus on hardware/software co-design, specialized computing architectures for AI, Deeper integration of AI with error correction, development of robust quantum error correction methods , Evolution of edge and fog computing, distributed data processing models , Personalized error correction solutions for specific data types/applications 

Development of more efficient and reliable error correction codes, Integration of AI and machine learning for improved error detection and correction, Standardization of quantum error correction techniques, Exploration of new communication channels and protocols for improved data transmission 

Increased focus on explainable AI and addressing ethical concerns, Development of neuromorphic computing architectures inspired by the human brain, Integration of AI with other emerging technologies like blockchain and IoT, Continuous exploration of new applications for AI across various industries 

Comparing different aspects of Google patents, such as Structural Arrangements (G06F3), game apparatus, error detection (G06F16), and Artificial Intelligence (G06N3) highlights the company’s foresight in areas like machine learning and quantum computing. These trends are indicative of where Google inventions are steering the future of technology. 

Notable Publications and Citation Frequency

The Chart below depicts the patents with most number of forward citations. These patents are likely to be the source of advancement in the domain and can be considered as valuable and core inventions. 


Google’s extensive patent portfolio up to 2023 highlights its status as a leader in technological innovation. The company’s patents cover a wide range of fields, from data processing to emerging technologies like AI and VR, showcasing Google’s commitment to both current needs and future advancements.  

Despite a competitive environment reflected in the declining rate of granted patents, Google continues to influence key areas such as machine learning and cloud computing. The forward citation frequency of their top patents underscores their significant role in technological advancement.  

Google’s focus on areas like AI, VR/AR, and advanced error correction algorithms indicates its readiness to shape future technology trends, solidifying its impact across various industries and changing how we interact with technology. 

Note: This Data is extracted from 2013 to 2023 and on the basis of patent Families.

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