Patent Landscape Report - Generative Artificial Intelligence (GenAI)

Generative AI is booming. It is a cutting-edge technology that is poised to disrupt various economic, social, and cultural sectors, and it extends far beyond simple human-like text generation using chatbots. Drawing on original analysis of patent and scientific data, the WIPO patent landscape report on Generative AI provides a snapshot of the patent situation for GenAI.

In the WIPO patent landscape report on Generative AI, discover the latest patent trends for GenAI with a comprehensive and up-to-date understanding of the GenAI patent landscape, alongside insights into its future applications and potential impact. The report explores patents relating to the different modes, models and industrial application areas of GenAI.

  • Acknowledgments
  • Key findings and insights
  • Introduction 
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    1 Generative AI: The main concepts

    This chapter provides a summary of the main technical principles around GenAI, including its origins and some historical background. Deep neural networks can usually be adapted to be either discriminative or generative tasks, which has led to the development of various types of GenAI models, which can support different types of input and output data (modes).

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    2 Global patenting and research in GenAI

    Advances in deep learning techniques and increasing computing power have spurred the development of GenAI in recent years. Analysis of patents and scientific publications shows that GenAI is booming across the world and this chapters highlights the top GenAI patent owners, the key inventor locations, and where GenAI patent protection is being sought.

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    3 Patent trends in GenAI models

    Large language models (LLMs) is a term that is now synonymous with Generative AI, generative adversarial networks (GANs), variational autoencoders (VAEs) and diffusion models are all different types of GenAI models. This chapter provides a summary of the main patent trends around different GenAI models.

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    4 Patent trends in GenAI modes

    Generative AI models are very effective for a variety of applications. Mature models support different types of input and output data (modes) and are not limited to text and images, making GenAI potentially relevant to many economic areas. This chapters explores the patent trends for different GenAI modes, from image and video to molecules, genes and proteins.

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    5 Patent trends in GenAI applications

    GenAI is bound to have a significant impact on a wide range of industries as it finds its way into products, services and processes, becoming a technological enabler for content creation and productivity improvement. This chapters identifies 21 application areas in the GenAI patent landscape and explores the different trends in these areas.

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    6 Further considerations

    The emergence of GenAI will have a significant impact on various industries, providing companies, organizations and individuals with unprecedented capabilities to create, synthesize and manipulate data. However, there are also concerns about the increasing use of GenAI models and tools, ranging from copyright infringement and the potential for misuse, to the risk of job displacement.

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    Appendices

    Find out more about the methodology used, the approach to searching GenAI patents using traditional patent search techniques alongside new AI search tools, and explore example patents for different GenAI application areas.

  • References
  • Copyright notice