Identifying Gaps in The AI Hardware Patent Landscape to Grow Market Share

Executive summary

Organizations spend a lot of time, money, and resources  developing new products in AI hardware. To be competitive,  identify new opportunities, and avoid infringing on a  competitor’s intellectual property, these companies need a  comprehensive view of the entire AI hardware landscape.  

Like in any competitive innovation space, looking solely at the  number of patents filed does not provide enough information for  strategic decision making. Successfully securing a patent and  launching a new product entails analyzing many factors across  current offerings. The challenge is accessing this type of detailed  data that shows current trends in AI hardware innovation along  with the large, small, and emerging players, and considering the  implications patent analysis can have on innovation strategy. 

A critical component to patent research is finding the whitespace.  In a world rapidly embracing and optimizing AI, more companies than  ever are developing new technologies for AI-enabled hardware.  

To be competitive in this space, both new  and legacy competitors need to: 

• Understand what is already available with existing hardware,  including computing hardware for accelerating AI 

• Determine how AI hardware is being applied in the marketplace 

• Identify the top competitors 

• Identify where the hardware is going in the future 

To highlight the importance of  having visibility into the patent landscape of AI hardware, the analysis of the AI hardware  ecosystem shared in this report  focused on microprocessors and  chips designed to enable machine  learning, neural networks,  or deep learning applications. 

The report identified 24,000 published invention families filed from 2010 to the present but did not include software. One subset focused on hardware with a configurable circuit, processor, chip, or similar concept, and the other subset captured hardware applications. All 24,000 patent families were mined in detail for distinct technical approaches.

The contents of the report is as follows: 

• Executive summary
  

• About AI hardware

• AI hardware patent filings are growing rapidly

• Types of AI hardware patents Competing in a crowded landscape

• Filing strategy by large and small companies

• Advancing AI hardware into the future

• Uncover answers with Clarivate

This is an redacted excerpt of the original report. Read the full article at the link down below here.

Source: Clarivate™

Editor: IPRdaily-Rene