Future of AI Image Generator Market: Key Dynamics, Size & Share Analysis

The Global AI Image Generator Market size was valued at around USD 9.10 billion in 2024 and is projected to reach USD 63.29 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 38.16% during the forecast period, i.e., 2025-30. The Global AI Image Generator Market growth is due to the rise in the digital & cloud infrastructure, increasing penetration of 5G internet services, expansion of e-commerce platforms, emerging digital marketing, trending digital arts, the government’s support towards research and development of new technologies, public-private partnerships & collaborations, the digitalization of the sectors, etc., across multiple regions.

Ethical & Legal Risks Associated with AI Image Generators – The integration of advances such as AI image generators across multiple sectors has led to an increase in several legal risks, like copyrights, data usage, absence of culture, deceptive content, privacy violation, etc.

The majority of the AI image generator models are trained using various data sets and images available on the internet without the permission of the original content creator, creating a legal disagreement and dispute on the unauthorized use of copyrighted material in their training. For instance, Getty Images has taken legal action by filing a lawsuit against Stability AI, a UK-based firm, on the allegation that their AI image generator, Stable Diffusion, is trained using thousands and millions of their copyrighted images without licensing and permission. Similarly, several designers and media companies have claimed that their images and intellectual skills are being used for training AI image generators, eventually exploiting their authenticity. Such misuse of the authenticated and copyrighted images for the training of the AI image-generating models might result in legal action, thus hampering the market growth & expansion.

AI Image Generator Market Size, Share & Industry Trends Analysis- By Component (Software, Services), By Deployment Mode (Cloud-Based, On-Premises), By End User (Media & Entertainment, E-commerce, Advertising Agencies, Fashion, Social Media, Educational Institutions) and Others.

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