> For the complete documentation index, see [llms.txt](https://whitepaper.monsterra.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whitepaper.monsterra.io/market-overview/nfts-at-a-glance.md). # NFTs at a glance Predicted to be worth more than **$200 billion** by the end of 2024, the game industry is on the cups of a dramatic evolution. As gaming has grown to become the world's largest media category ahead of linear TV, on-demand entertainment, film, and music, specific characteristics have developed with it. Many giants have snatched the opportunity and are pouring resources into expanding the blockchain-based game sector. On top of that, Covid-19 has had a tremendous effect on the gaming market as millions of people worldwide started looking into playing games as a full-time job to earn a stable income. We firmly believe that the **Play-to-Earn Game** model powered by **NFTs** will continue to rise and open a new era in the blockchain industry. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://whitepaper.monsterra.io/market-overview/nfts-at-a-glance.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.