Generative AI Market, By Technology (Deep Learning, Machine Learning, and Natural Language Processing), By Deployment Mode (Cloud-based and On-premises), By Application (Content Creation, Chatbots and Virtual Assistants, Image and Video Generation, Music Generation, and Others), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

Published In : Sep 2024

Code : CMI7396

Pages :140

Formats :

Excel and PDF

Industry : Information and Communication Technology

Market Challenge - Ethical concerns around the use of generative AI, particularly in areas like art and journalism

Global generative AI market growth can be hampered due to growing ethical concerns around the use of this technology, particularly in areas like art and journalism. There are debates around whether generative AI models could undermine creative fields by automatically generating visual artworks, news articles, or fiction without human input. However, other people counter that AI-generated content still requires significant human labor to develop the models and provides new opportunities for collaboration between humans and machines. Issues around attributing authorship of AI-generated content and protecting creative works continue to be discussed. Evaluating the appropriate use of disclosure and content filtering will be important to address these ethical considerations and ensure generative AI is developed and applied responsibly.

Market Opportunity- Development of more user-friendly and accessible generative AI tools for non-technical users

The development of more user-friendly and accessible generative AI tools for non-technical users presents a major opportunity for the market growth. Most generative AI systems require advanced coding and machine learning skills, which limits their adoption. However, there is potential to design novel generative AI products and services with intuitive interfaces similar to popular mobile apps and social media platforms. This could make generative text, image, video and audio creation much more seamless and engaging for everyday consumers and businesses. Simplifying the user experience of generative AI tools could help unlock new applications of the technology for industries like marketing, design, education and more. It may also encourage more diverse participation and mitigate concerns about generative content being uncontrolled or misused by non-experts.